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Speaker 1: This is the Meat Eater Podcast coming at you shirtless, severely,

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Speaker 1: bug bitten, and in my case, underwear listeningcast. You can't

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Speaker 1: predict any of this. The Meat Eater Podcast is brought

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Speaker 1: to you by First Light. Whether you're checking trail cams,

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Speaker 1: hanging deer stands, or scouting for el, First Light has

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Speaker 1: performance apparel to support every hunter in every environment. Check

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Speaker 1: it out at first light dot com. F I R

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Speaker 1: S T l I T E dot com. All right,

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Speaker 1: we got more women in here than than normal.

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Speaker 2: By a law.

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Speaker 1: Normally it's just Krinn. Everybody knows how lame that is.

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Speaker 1: Today we're joined by probably for the millionth time, Carmen

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Speaker 1: van Bianki. How many times have you been on the show.

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Speaker 3: Maybe this is number five?

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Speaker 1: Okay, she's our resident wildlife biologist. We've tracked Carmen all

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Speaker 1: through her career. Now she's she's a links researcher from

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Speaker 1: Home Range. You guys founded Home.

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Speaker 3: Range Wildlife Research.

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Speaker 2: Yep.

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Speaker 1: We've participated in all kinds of projects trying to raise

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Speaker 1: awareness for your project. We did that thing trying to

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Speaker 1: raise up money for snowmobiles, yep. And now you're back

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Speaker 1: to give us a report yep. On what's going on now?

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Speaker 1: We've been doing a little trapping, but different.

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Speaker 3: Yeah, you got some beavers today.

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Speaker 1: We called a raccoon the likes of which man has

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Speaker 1: never seen. I don't know what he's doing out in

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Speaker 1: that cold weather too.

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Speaker 2: I don't know, he's just yeah, typically he'd be in

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Speaker 2: a dentrey somewhere, but he was out in about last night.

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Speaker 1: There was a spot by there's a spot by this

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Speaker 1: rancher's place and there's a hole in the fence where

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Speaker 1: kylets are coming through in that raccoon coming through there.

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Speaker 1: Uh any tutament, guys, I canna tell you something before

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Speaker 1: I introduce all our other women. Uh, this rancher is

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Speaker 1: telling us how. So we get down there by the

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Speaker 1: river by his place, down the river bottom and there's

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Speaker 1: dead sheep carcasses. You can't tell what's going on. It's

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Speaker 1: just dead sheep. Get to talk to him, and he

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Speaker 1: had they had in the fall, they had a black

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Speaker 1: bear and it's kind of unusual spot for blackbird. They

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Speaker 1: had black bear come in killed, killed. He kept saying

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Speaker 1: the bear killed five bucks. Okay. I was like, how

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Speaker 1: do you know how many bucks? The bear? I thought

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Speaker 1: he met like deer then I realized he's talking about

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Speaker 1: buck sheep. These these are fifteen hundred bucks. Apiece killed

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Speaker 1: five buck sheep, killed a goat, killed a goose. He

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Speaker 1: calls fishing game. They're like, if you catch the bear,

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Speaker 1: go and shoot it. So he tells us if we

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Speaker 1: see the bear, to shoot it. And you can see

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Speaker 1: his track in the ice like he'd been walking on

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Speaker 1: a slew since it froze up. Then he says to

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Speaker 1: this dude, he knows it looks for that tries to

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Speaker 1: build stuff out of driftwood. And that guy is sniffing

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Speaker 1: around this big driftwood pile down on the bank, and

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Speaker 1: he finds the bear hiding in the driftwood pile the

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Speaker 1: other day. So he tells me and Seth to go

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Speaker 1: in there and look in that driftwood pile. And we

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Speaker 1: haven't gone and looked yet, and he said, he said,

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Speaker 1: he told me I'm scared to go looking there, but

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Speaker 1: if you guys go looking there, then I'll call fishing

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Speaker 1: game and you can get the bear. I'm like, I

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Speaker 1: think I'm gonna have to personally speak with fishing I

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Speaker 1: have to have a personal conversation with fishing game before

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Speaker 1: follow through with this plan looking through this, but we

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Speaker 1: looked at that log jam today, talked about having to

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Speaker 1: look down in there, and we haven't gone down there

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Speaker 1: and looked yet. Were hundred yards.

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Speaker 3: From When you say hidden and there, you mean like, yeah, it's.

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Speaker 1: Denn up in that log jam? I know, how do

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Speaker 1: you know what bears what? That's what I'm saying. It's like,

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Speaker 1: we're not going to get into that vigilanti justice, but

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Speaker 1: I am going to go look into that log jam.

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Speaker 4: I can't believe you get curious enough to go looking there.

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Speaker 1: I'm gonna I'm looking tomorrow.

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Speaker 2: We wouldn't be here right now if we got to

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Speaker 2: looking in there.

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Speaker 1: Yeah, we're already half hour later, we're looking in there.

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Speaker 1: You might not ever heard from this.

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Speaker 2: Again, weird crunch for time.

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Speaker 1: I couldn't said if I was gonna put a thermal in there,

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Speaker 1: but I don't think that's gonna work. I'm just gonna

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Speaker 1: shine a light in there and see if he's in there,

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Speaker 1: because I guess it's scared the hell out of this

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Speaker 1: driftwood guy. I can imagine it was awake in there. Yeah,

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Speaker 1: so I'm gonna see if he is. Well. It's kind

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Speaker 1: of a weird little spot. I don't know how much

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Speaker 1: I believe it could all be let myth Seth's here,

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Speaker 1: Doctor Randall's here, Jen Lewis from FHF is here, and

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Speaker 1: Jen Lewis's daughter, Brooklyn Stevens is here, and Brody Henderson now,

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Speaker 1: Brooklyn's here for a very special reason, because you have

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Speaker 1: recently got yourself into the skull cleaning business.

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Speaker 5: Yep?

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Speaker 1: How many? How many schools did you clean this year?

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Speaker 5: Probably around twenty or thirty?

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Speaker 1: Are you serious you did that many?

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Speaker 5: Yeah?

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Speaker 1: Ok, huh? You got interested in tax How old are you? First?

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Speaker 3: Off?

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Speaker 1: Seventeen seventeen? What got you interested in taxidermy?

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Speaker 2: Oh?

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Speaker 5: I show him my first dear. I walked into the

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Speaker 5: text urmy shop and it just felt like home. I

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Speaker 5: like creating or like saving other people's memories, so uh huh,

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Speaker 5: I thought would be fun.

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Speaker 1: Oh wow, And what do you have done with your

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Speaker 1: first dear?

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Speaker 5: Just a europe amount?

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Speaker 1: Oh and then you got it back and thought I

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Speaker 1: could do that better.

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Speaker 5: Yep?

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Speaker 1: What are your your How are you cleaning them?

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Speaker 5: I just boil them and then bleach them.

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Speaker 1: Okay, and then but you did it, but you didn't.

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Speaker 1: But here's why it was such a careful job you did,

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Speaker 1: because the sinuses are still good.

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Speaker 5: Yeah.

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Speaker 1: I usually wind up taking a drill bit and just

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Speaker 1: like I get yeah, I get a little burned out

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Speaker 1: on the whole thing, and eventually I wind up running

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Speaker 1: a drill up in there to get all that garbage

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Speaker 1: out of there. Cut cussy that again, the job you did.

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Speaker 1: So Brooklyn's holding the buck that I brought to her.

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Speaker 1: This year old warrior a little a little war here,

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Speaker 1: he broke his beam off. So how do you how'd

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Speaker 1: you get that so clean? Boiling it? What'd you do

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Speaker 1: to eventually get it out of there?

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Speaker 5: I sit with it for hours and hours, and I

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Speaker 5: just pick on it with dental picks.

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Speaker 1: That's what you're using.

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Speaker 5: Yep.

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Speaker 2: Do you do any pressure washing every now and then? Yeah?

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Speaker 5: I try and pick off all the meat though it's nicer. Yep.

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Speaker 1: Well, gradient senior in high school? You're senior in high school?

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Speaker 1: What are you gonna do when you finish high school? Tax ermy,

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Speaker 1: you want to you want to go into taxi? Durm

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Speaker 1: how much you're charging for a skull like that? Deer

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Speaker 1: and one sixty for looks amazing?

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Speaker 5: Thank you?

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Speaker 1: That's a good price. See you're gonna think I'm lying

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Speaker 1: if I told you I've never seen a uh like

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Speaker 1: a boiled skull turn out like that. Really never Brody.

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Speaker 4: It's good, it's great.

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Speaker 1: I ring you Brody. I bring Brody because Brody boils

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Speaker 1: up some skulls. That's the work art, Brody.

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Speaker 4: Yeah, it's it's really white, looks great.

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Speaker 5: Thank you.

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Speaker 4: Yeah. I did fifteen this year and I went four

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Speaker 4: or five past my limit of patients.

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Speaker 1: You're not an aspiring skull cleaner, not an inspiring do.

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Speaker 2: You pressure wash yours?

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Speaker 4: I have, man, but I've seen that blow them apart. Yeah,

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Speaker 4: especially like after they've been like if you really got

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Speaker 4: to boil them.

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Speaker 2: For a while, so you pick all the meat too.

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Speaker 4: Yeah, but I mean, like she was saying, it's really

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Speaker 4: just the nooks and crannies.

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Speaker 1: You do it the right way.

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Speaker 2: I have currently two deer skulls sitting in my garage,

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Speaker 2: one one that my wife killed, one I killed, and

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Speaker 2: it's like gotten to the point where all the ship

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Speaker 2: is like dried on there.

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Speaker 4: It'll never look right.

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Speaker 1: Yeah, brook On, are people bringing you these with the

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Speaker 1: hide on them or they skin in them?

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Speaker 2: That's what I want to ask.

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Speaker 4: Do you think do you think the ones that do

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Speaker 4: you think they turn out better when they're unskinned or

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Speaker 4: they've been skinned.

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Speaker 5: It depends. The ones that are unskinned do come out

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Speaker 5: I think better. But the ones that are skin I

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Speaker 5: can get it good too.

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Speaker 6: She just did a big ram, a big deadhead ram.

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Speaker 1: Are you serious? Yeah? From where I don't know.

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Speaker 5: The lady bought it from the FWP.

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Speaker 1: She bought it the auction Yeah huh, and brought it

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Speaker 1: to you. What condition was it in Turkey? It was

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Speaker 1: really all dried out? Yeah?

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Speaker 2: Oh, so you'll mess around with dried out stuff that's

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Speaker 2: not You.

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Speaker 1: Charge more if they don't skin it. You're in luck.

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Speaker 5: Time to skin something.

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Speaker 1: So see, I always think I'm doing people to favor

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Speaker 1: When I skin it and pluck the eyes.

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Speaker 5: Out, it's nice, but I don't wand skinning.

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Speaker 1: So they'll bring you a hair on head, lower jaw.

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Speaker 1: Their eyes there all desiccated, dried out, and you charge

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Speaker 1: them the same amount of money.

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Speaker 5: Yeah.

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Speaker 1: Do you have a paide set up for your business? No?

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Speaker 5: I just have Instagram and the Gmail.

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Speaker 1: How do people find you to bring you some business? So, so,

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Speaker 1: folks that are listening, Jen Lewis and Paul Lewis Paulus

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Speaker 1: has been on the podcast a number of times from

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Speaker 1: that FHEF and this is their youngster. So how do

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Speaker 1: people find your business?

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Speaker 5: Either on Instagram or word of mouth?

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Speaker 1: No? But how like what do they what do they

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Speaker 1: type up?

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Speaker 5: Four h six bone Works?

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Speaker 1: Four h six bone Works? Do you ever think about

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Speaker 1: getting a beetle room?

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Speaker 5: No? I don't want to mess with beetles.

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Speaker 1: That's that's a smelly business right there.

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Speaker 3: I want to get into.

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Speaker 1: You'd have to get your own house probably if you're

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Speaker 1: gonna get in. The man, that is a smelly business.

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Speaker 4: I looked into it. You can order those beetles from Amazon.

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Speaker 1: Yeah, at you can find them on the roadside. I

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Speaker 1: didn't know that Amazon sold them, but you find them

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Speaker 1: on the road side. So you're gonna stay with boiling Yeah,

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Speaker 1: but you're gonna go to taxa during me school?

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Speaker 5: I don't know. I like YouTube?

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Speaker 1: Oh you like doing it that way?

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Speaker 2: Okay? YouTube university? Are you going to get into like

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Speaker 2: shoulder mounts or yeah? Nice? So you're going you're going

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Speaker 2: all in?

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Speaker 5: Yeah?

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Speaker 1: So fours bone Works yep. And you'll clean people's skulls

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Speaker 1: and do that immaculate. Did you do that nice job

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Speaker 1: because you knew you were gonna use it as a

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Speaker 1: piece of sales, and normally you just brutalize them.

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Speaker 5: That's how they all turn out.

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Speaker 1: They all turn out that nice. Yep, it's impressive.

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Speaker 2: That is impressive.

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Speaker 1: One hundred and twenty bucks.

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Speaker 4: Yep, that's a deal.

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Speaker 1: Have you done any elk?

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Speaker 5: Yeah?

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00:10:23,679 --> 00:10:27,199
Speaker 1: What do you get for an ELK? Only forty dollars more?

231
00:10:27,360 --> 00:10:28,719
Speaker 1: Three times as big?

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Speaker 5: Sort of? I don't like to think, so.

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Speaker 1: Though, how did you come up with your pricing strategy?

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Speaker 5: Just what pro paane costs? And then a bleach? And

235
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Speaker 5: then my time?

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Speaker 1: How much are you making any money after all that?

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Speaker 5: A little bit?

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Speaker 1: Did you ever calculate what you make per hour?

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Speaker 7: No?

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Speaker 1: Do you want to or do you not even want

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Speaker 1: to know?

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00:10:50,640 --> 00:10:52,120
Speaker 5: Oh? I really want to know.

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Speaker 1: That's a pretty good skull. Now, Listen, I had a guy.

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Speaker 1: You know what I paid this year? I hesitate to

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Speaker 1: tell you know what I paid this year to get

246
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Speaker 1: a moose cleaned?

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Speaker 5: What's that?

248
00:11:00,320 --> 00:11:01,360
Speaker 1: Take a guess?

249
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Speaker 5: Probably two twenty five higher.

250
00:11:04,280 --> 00:11:09,840
Speaker 8: That would have been nice, three twenty five higher, four

251
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Speaker 8: twenty five higher, Oh my god, nine hundred and seventy five.

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Speaker 1: Listen, I had someone doing mo moose gold this year

253
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Speaker 1: six hundred. Kylie dropped it off and I come back

254
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Speaker 1: and there's an invoice for six hundred bucks on my desk.

255
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Speaker 1: I'm like, I think they Oh I dropped it off.

256
00:11:26,640 --> 00:11:30,120
Speaker 1: Oh you dropped it off. Yeah, I talked you, I

257
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Speaker 1: talked your text. Everybody mind said, dude, you're third the

258
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Speaker 1: way to his shoulder.

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Speaker 2: Yeah. Yeah, I saw that. I saw the invoice when

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Speaker 2: I dropped it off, because he gave it to me,

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Speaker 2: and I.

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Speaker 1: Was like, never seen anything like that. That was a

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Speaker 1: big moose.

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Speaker 2: So I was like, I'm assuming cleaning the antlers.

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Speaker 6: I think I saw you that day because you were

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Speaker 6: at the shop and.

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Speaker 1: He had a shock.

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Speaker 2: Yeah, I just assumed you knew what it was going

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Speaker 2: to cost.

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Speaker 1: No, how much would you done that for the problem

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Speaker 1: with those is the way they're shape. You can't dip

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Speaker 1: them in the tank. Real good. Yeah, process, you'd have

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Speaker 1: done it for three. I could have got two done.

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Speaker 2: Yeah.

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Speaker 1: What's it called again? Four or six bone works? Four

276
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Speaker 1: or six bone works? Get your skulls clean. You can

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Speaker 1: do it next year too.

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Speaker 5: Yep.

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Speaker 1: All right, thanks for coming on and plugging the biz. Yeah,

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Speaker 1: you're supposed to be in school right now, I am.

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Speaker 1: You're gonna hang tight though. Yeah, she's a links researcher.

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Speaker 1: Maybe you can fill out when you when you're taxi

283
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Speaker 1: during me slow, you can go chase links on a

284
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Speaker 1: snow and bill for these guys. Sounds good, yeah, uh oh.

285
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Speaker 1: You know what we were talking about the day mean

286
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Speaker 1: Seth had to drive on icy roads and I was

287
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Speaker 1: remembering this story I was telling them, is uh, we're

288
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Speaker 1: talking about what it's real icing to go to pass somebody,

289
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Speaker 1: how you're endangering everybody. I remember when I was a kid.

290
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Speaker 1: I remember so vividly when I was a kid. We're

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Speaker 1: driving down the road and this dude comes buy in

292
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Speaker 1: one of those wood paneled station wagons with the cowboy

293
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Speaker 1: hat on it kind of like blows passes in the

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Speaker 1: way that made my dad irate, you know, And come

295
00:13:00,280 --> 00:13:02,760
Speaker 1: around a few bends and there's this dude's car wrecked

296
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Speaker 1: and he's standing out in the snow staring at his

297
00:13:04,920 --> 00:13:07,839
Speaker 1: right car. In south of state, he had a guy

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00:13:07,880 --> 00:13:10,839
Speaker 1: blow past and then later found him up front and crashed.

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00:13:11,640 --> 00:13:14,720
Speaker 1: We did the same thing going up to a snowbowl.

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Speaker 8: These kids in the car behind us passed and I

301
00:13:17,160 --> 00:13:20,240
Speaker 8: just gripping the steering wheel and clenching my teeth for

302
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Speaker 8: five minutes. After that, we get up to the top

303
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Speaker 8: and there in the ditch.

304
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Speaker 2: I have I've two separate occasions while I was heading

305
00:13:28,400 --> 00:13:31,960
Speaker 2: to a hunting spot. One this year and one couple

306
00:13:32,000 --> 00:13:37,240
Speaker 2: of years ago. I've had Ryan Callahan passed me on

307
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Speaker 2: shitty roads. It's the same situation, but I haven't found

308
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Speaker 2: him in a ditch, but I've had him pass me

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Speaker 2: on on bad roads.

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Speaker 1: Wait till you do, it's all worth it then.

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Speaker 2: Especially one was this year in the dark. He passed

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Speaker 2: me on a just a normal road. Haul on the

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Speaker 2: trailer kale. Yeah, I called him. I said, you're gonna

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Speaker 2: end up in the ditch.

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Speaker 1: He doesn't seem like a reckless person.

316
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Speaker 2: He's just confident on snowy roads.

317
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Speaker 1: I guess so, Jen Lewis, you just said handed me.

318
00:14:06,559 --> 00:14:08,040
Speaker 1: I'm not going to tell anybody what you just handed me.

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Speaker 1: Be handing me a new backpack. I did that you're

320
00:14:10,120 --> 00:14:12,320
Speaker 1: working on that I can put I'm not working on

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Speaker 1: it that, y'all.

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Speaker 6: Paul is definitely working.

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Speaker 1: Paul's working on you guys invented the world's greatest duffel bag,

324
00:14:18,920 --> 00:14:21,120
Speaker 1: which is not available like that. What's that called the

325
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Speaker 1: pit devil?

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Speaker 2: Dude?

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Speaker 1: That is the best. Like, I'm sort of a Duffel

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Speaker 1: bag connoisseur. That is the I used to think that

329
00:14:27,880 --> 00:14:31,960
Speaker 1: the best Duffel bag ever made. PATTIGOONI had one called

330
00:14:32,000 --> 00:14:36,560
Speaker 1: the Shuttle Duffel. I have one after they quit making

331
00:14:36,600 --> 00:14:38,560
Speaker 1: it a million years ago. I used to go now

332
00:14:38,560 --> 00:14:41,000
Speaker 1: and then on eBay trying to find a used one.

333
00:14:41,080 --> 00:14:43,680
Speaker 1: Is how much I liked it. Yeah, this is the

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00:14:43,720 --> 00:14:45,000
Speaker 1: new best Duffel bag.

335
00:14:45,560 --> 00:14:48,400
Speaker 6: It's pretty sweet. I think you got the new one

336
00:14:48,440 --> 00:14:53,520
Speaker 6: with the new fabric sailcloth, which is yeah, same fabric

337
00:14:53,560 --> 00:14:56,720
Speaker 6: that they make sailboat sails out of. Oh really yeah,

338
00:14:56,800 --> 00:14:58,920
Speaker 6: so highly durable.

339
00:14:59,040 --> 00:15:01,680
Speaker 1: Yeah. Paul was messing around with different ones over time.

340
00:15:02,040 --> 00:15:05,360
Speaker 1: He gave me one and the baggage handlers would ruin them. Yeah,

341
00:15:06,520 --> 00:15:08,000
Speaker 1: I'd send it back to him and be like, no

342
00:15:08,160 --> 00:15:10,680
Speaker 1: baggage handlers ruined it. He finally got a fabric of

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Speaker 1: the baggage.

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00:15:11,160 --> 00:15:13,200
Speaker 6: Handlers should be like nearly indestructible.

345
00:15:13,240 --> 00:15:15,960
Speaker 1: Yea. Some of the material he was using was great

346
00:15:16,360 --> 00:15:18,120
Speaker 1: in real waterproof, but it would get when it gets

347
00:15:18,240 --> 00:15:20,880
Speaker 1: when things get stuck in the baggage carousel. It would

348
00:15:20,880 --> 00:15:23,120
Speaker 1: have braid it because it was kind of catchy.

349
00:15:23,800 --> 00:15:26,240
Speaker 6: Yeah, we're gonna do a few sizes of that.

350
00:15:26,480 --> 00:15:30,880
Speaker 1: Well, I hope so, because that needs to be medium, right,

351
00:15:31,760 --> 00:15:33,720
Speaker 1: Well he knows, okay, Well, I mean I told I

352
00:15:33,760 --> 00:15:35,440
Speaker 1: told him that's what I think. I think it should

353
00:15:35,440 --> 00:15:37,080
Speaker 1: be medium and there should be small and large.

354
00:15:37,080 --> 00:15:38,720
Speaker 6: I think that's the direction we're going.

355
00:15:38,560 --> 00:15:40,920
Speaker 1: Because that one's a little for carry on. It's a

356
00:15:40,960 --> 00:15:42,560
Speaker 1: little it's a little sketchy.

357
00:15:42,840 --> 00:15:43,680
Speaker 6: Too big, too small.

358
00:15:44,520 --> 00:15:46,800
Speaker 1: No, no, you could carry it on, but it'd be

359
00:15:46,880 --> 00:15:48,640
Speaker 1: like if you stuffed it two of the gills, you're

360
00:15:48,680 --> 00:15:50,000
Speaker 1: not gonna be able to use it as a carry

361
00:15:50,000 --> 00:15:53,320
Speaker 1: on bag. I'm afraid there's a smaller one and then

362
00:15:53,360 --> 00:15:57,080
Speaker 1: and then a big giant Yeah, I mambo johnbo bag.

363
00:15:57,520 --> 00:15:59,120
Speaker 6: Because we had a different bag kind of in the

364
00:15:59,120 --> 00:16:01,040
Speaker 6: works that I think you had, but I think this

365
00:16:01,200 --> 00:16:03,560
Speaker 6: is replacing that, and so there will be a larger size.

366
00:16:03,560 --> 00:16:05,040
Speaker 1: Oh okay, good, good, big enough?

367
00:16:05,080 --> 00:16:07,000
Speaker 6: I mean the guy stuck me in it, so oh

368
00:16:07,040 --> 00:16:08,040
Speaker 6: that big? It's big.

369
00:16:08,360 --> 00:16:11,400
Speaker 1: Wow, I've seen that. I have a cooler that two

370
00:16:11,440 --> 00:16:12,200
Speaker 1: people can fit in.

371
00:16:12,280 --> 00:16:14,280
Speaker 6: Yeah, I don't know, how would you know?

372
00:16:14,320 --> 00:16:14,520
Speaker 5: That?

373
00:16:15,360 --> 00:16:17,160
Speaker 1: It's funny story. I had a buddy of mine who's

374
00:16:17,160 --> 00:16:18,920
Speaker 1: a kind of a lawyer. He's like a lawyer, but

375
00:16:18,960 --> 00:16:23,640
Speaker 1: he doesn't do any law dogging. So I'll try to

376
00:16:23,640 --> 00:16:26,760
Speaker 1: do I don't you know, that's a great question. So

377
00:16:29,080 --> 00:16:33,440
Speaker 1: he uh, I needed some paperwork drawn up for like

378
00:16:33,480 --> 00:16:36,040
Speaker 1: a thing I owned with some other like our cabin.

379
00:16:36,520 --> 00:16:38,320
Speaker 1: I need this paintwork drawn up. And he's like, I'll

380
00:16:38,320 --> 00:16:40,280
Speaker 1: do it because you just gotta get me a cooler

381
00:16:40,280 --> 00:16:42,400
Speaker 1: for my boat. And he tells me, what's that cooler

382
00:16:42,440 --> 00:16:46,160
Speaker 1: I got sitting outside? Any racer Britney got in it?

383
00:16:46,200 --> 00:16:46,480
Speaker 1: One time?

384
00:16:46,560 --> 00:16:49,000
Speaker 4: We were able to I don't know what side they

385
00:16:49,320 --> 00:16:52,480
Speaker 4: I mean for those blue water boats that we'd have

386
00:16:52,520 --> 00:16:53,040
Speaker 4: to look it up.

387
00:16:53,120 --> 00:16:54,840
Speaker 1: Takes two people to move it. It's like a four

388
00:16:55,760 --> 00:16:58,360
Speaker 1: I don't know eight. I don't know. Two people can

389
00:16:58,480 --> 00:17:00,680
Speaker 1: lay down length wise in it to shut the door.

390
00:17:01,200 --> 00:17:03,320
Speaker 1: My body says, I'll do the legal work if you

391
00:17:04,119 --> 00:17:06,800
Speaker 1: get me a cooler for my boat. And I'm like,

392
00:17:06,840 --> 00:17:08,840
Speaker 1: that's fine. So he says, this is the cooler I

393
00:17:08,880 --> 00:17:13,000
Speaker 1: want and it's a giant, the biggest yettie cool ever made.

394
00:17:13,480 --> 00:17:15,040
Speaker 1: That's not a fit on your boat. Oh yeah, I'll fit.

395
00:17:16,240 --> 00:17:18,200
Speaker 1: I get the cooler delared in my house. He comes over.

396
00:17:18,359 --> 00:17:22,320
Speaker 1: It's not a fit on my boat. So I still

397
00:17:22,320 --> 00:17:26,200
Speaker 1: have that thing. Uh, I used to store like bird

398
00:17:26,240 --> 00:17:29,200
Speaker 1: seed and stuff in it and like charcoal.

399
00:17:30,480 --> 00:17:32,359
Speaker 4: Yeah, just what it was designed for.

400
00:17:32,640 --> 00:17:35,199
Speaker 1: What it was designed for. What else is coming up?

401
00:17:35,240 --> 00:17:37,840
Speaker 1: So that when will that Duffel bag be for sale?

402
00:17:38,720 --> 00:17:39,040
Speaker 5: June?

403
00:17:39,840 --> 00:17:42,720
Speaker 6: I think it'll be June. We've got just a couple

404
00:17:42,760 --> 00:17:45,320
Speaker 6: of launches this year. So much New Year came out

405
00:17:45,400 --> 00:17:49,040
Speaker 6: last year in the spring. The rest of our Apex

406
00:17:49,119 --> 00:17:52,800
Speaker 6: Belt system, hydration pack that'll come out in February, and

407
00:17:52,840 --> 00:17:55,720
Speaker 6: then the pit Defell and a couple other small items

408
00:17:55,760 --> 00:17:58,040
Speaker 6: will be coming out in June that I can't talk

409
00:17:58,040 --> 00:17:58,520
Speaker 6: about yet.

410
00:17:58,600 --> 00:18:01,760
Speaker 1: Yeah, it's no problem. Un Turkey's all spring in the

411
00:18:01,800 --> 00:18:02,400
Speaker 1: Apex Belt.

412
00:18:02,480 --> 00:18:04,760
Speaker 6: Did you like it? Kind of a game changer that

413
00:18:04,800 --> 00:18:05,240
Speaker 6: it's great.

414
00:18:05,760 --> 00:18:08,080
Speaker 1: So the Apex Belt is like what they like. Paul

415
00:18:08,160 --> 00:18:10,280
Speaker 1: calls it like he hesitates to use the term, but

416
00:18:10,280 --> 00:18:13,199
Speaker 1: it's similar to a battle belt. So that's kind of

417
00:18:13,480 --> 00:18:14,640
Speaker 1: different words. I don't know what the help.

418
00:18:14,720 --> 00:18:17,639
Speaker 6: Yeah, make a tactical like load bearing belt or battle belt.

419
00:18:18,760 --> 00:18:23,000
Speaker 6: Obviously years of Swat Team he had, you know, a

420
00:18:23,040 --> 00:18:25,639
Speaker 6: similar belt. It's kind of actually what guy him sewing

421
00:18:25,760 --> 00:18:28,199
Speaker 6: is he had to buy a battle belt and he

422
00:18:28,280 --> 00:18:30,520
Speaker 6: was too cheap, so he said, I bet I could

423
00:18:30,520 --> 00:18:34,040
Speaker 6: make one, and that's what got himself. Yeah, so that's

424
00:18:34,080 --> 00:18:36,760
Speaker 6: how he got into sewing, but ended up making belts

425
00:18:36,760 --> 00:18:39,960
Speaker 6: for a few different guys. Obviously we've come a long way.

426
00:18:40,000 --> 00:18:42,840
Speaker 6: This is a three piece belt, so different than what

427
00:18:42,880 --> 00:18:47,439
Speaker 6: you would typically find, and it's a structured belt. So

428
00:18:47,480 --> 00:18:50,560
Speaker 6: the other colorways of that product will be launching with

429
00:18:50,600 --> 00:18:54,600
Speaker 6: some accessories like box called pouch, a few other turkey stuff.

430
00:18:55,240 --> 00:18:59,119
Speaker 1: So yeah, you put well, like everything at FHF always

431
00:18:59,160 --> 00:19:02,160
Speaker 1: fits together, so you put the belt on. There will

432
00:19:02,160 --> 00:19:05,600
Speaker 1: be a hybridration bladder that goes on that functions as

433
00:19:05,600 --> 00:19:09,600
Speaker 1: a backpack. There's a fanny pack thing. There's pockets for

434
00:19:09,880 --> 00:19:13,320
Speaker 1: pot calls. There's what I call the morel bag.

435
00:19:14,320 --> 00:19:15,400
Speaker 6: Yeah, the dump pouch.

436
00:19:15,520 --> 00:19:17,639
Speaker 1: There's this dump pouch bag that rolls up to the

437
00:19:17,640 --> 00:19:19,720
Speaker 1: size of like if you make the okay symbol. You

438
00:19:19,760 --> 00:19:21,520
Speaker 1: can't really do that. For a long time, people thought

439
00:19:21,560 --> 00:19:25,479
Speaker 1: you were making a mm hm. Now you remember this

440
00:19:26,640 --> 00:19:27,840
Speaker 1: that this was real bad to do.

441
00:19:27,960 --> 00:19:29,840
Speaker 2: That's still that's still a thing. It's not listening.

442
00:19:30,720 --> 00:19:32,680
Speaker 1: Let me tell you something I don't want a name names.

443
00:19:32,760 --> 00:19:33,280
Speaker 1: Let me tell you.

444
00:19:33,240 --> 00:19:35,359
Speaker 2: Something, the turkey call incident.

445
00:19:35,480 --> 00:19:38,000
Speaker 1: You can tell us the best story I've ever heard.

446
00:19:38,560 --> 00:19:38,720
Speaker 3: Now.

447
00:19:38,880 --> 00:19:43,320
Speaker 1: I witnessed it in the height of all the paranoia.

448
00:19:43,480 --> 00:19:48,000
Speaker 1: Okay about don't say the wrong thing, do the wrong thing.

449
00:19:48,600 --> 00:19:51,120
Speaker 1: We're down in South Carolina and I we're turkey hunt

450
00:19:52,240 --> 00:19:55,919
Speaker 1: and we're on a dirt road that crosses a railroad track. Okay,

451
00:19:57,200 --> 00:20:01,439
Speaker 1: there's a stop sign because it's a rail track. I stop,

452
00:20:01,520 --> 00:20:03,760
Speaker 1: and I see a dude stop coming my way in

453
00:20:03,880 --> 00:20:06,760
Speaker 1: South Carolina on dirt roads. I see that he's got

454
00:20:06,760 --> 00:20:12,359
Speaker 1: his hand draped over his wheel, holding a turkey diaphragm

455
00:20:12,359 --> 00:20:15,720
Speaker 1: call to the point where I comment on it to

456
00:20:15,800 --> 00:20:20,840
Speaker 1: my fellow passengers, and it's blaze orange and I'm even

457
00:20:20,840 --> 00:20:23,560
Speaker 1: trying to wonder whose call it is. And I'm like, oh,

458
00:20:23,560 --> 00:20:26,000
Speaker 1: that guy's hunting turkeys too. He's holding it between his

459
00:20:26,960 --> 00:20:30,720
Speaker 1: thumb and the okay symbol. He's got it the turkey

460
00:20:30,760 --> 00:20:34,639
Speaker 1: call and his thumb and pointer finger, his palm rested

461
00:20:34,680 --> 00:20:37,720
Speaker 1: on the wheel. Some of our camera guys are behind us.

462
00:20:39,400 --> 00:20:42,720
Speaker 1: I drive past, he waves, They drive past. Apparently he

463
00:20:42,800 --> 00:20:46,440
Speaker 1: waves too. Later they get all excited that he had

464
00:20:46,480 --> 00:20:50,240
Speaker 1: given them, the white supremacist single symbol.

465
00:20:50,800 --> 00:20:53,280
Speaker 2: Excited because it was a novel, fun thing to witness.

466
00:20:54,359 --> 00:20:55,160
Speaker 2: I hope I was like.

467
00:20:55,160 --> 00:20:59,560
Speaker 1: That gentleman Fellas was holding a turkey call between his

468
00:20:59,640 --> 00:21:02,400
Speaker 1: thumb and forefinger, and that is why he had to

469
00:21:02,680 --> 00:21:06,199
Speaker 1: wave that way. During the height of that excitement, too,

470
00:21:06,200 --> 00:21:09,679
Speaker 1: A dude won three. A dude won three, like, uh

471
00:21:10,760 --> 00:21:15,920
Speaker 1: jeopardies mm hm. And so they're announcing that he won

472
00:21:16,000 --> 00:21:18,560
Speaker 1: three jeopardies and instead of going like, when I want

473
00:21:18,600 --> 00:21:22,040
Speaker 1: to do three, I do like, I guess thumb to pinky,

474
00:21:22,119 --> 00:21:22,800
Speaker 1: how do you do three?

475
00:21:23,040 --> 00:21:26,720
Speaker 2: Yeah? Yeah, it's a whole plot pointing in Gloria's Bastards.

476
00:21:26,720 --> 00:21:29,160
Speaker 2: The yeah, the three or the three.

477
00:21:29,080 --> 00:21:33,640
Speaker 1: Or so he throws a three like he's doing Okay.

478
00:21:33,840 --> 00:21:36,840
Speaker 1: So they're announcing his name third time champion, and he

479
00:21:36,920 --> 00:21:41,720
Speaker 1: does this next day in the news White Supremacist. He's like, no,

480
00:21:41,760 --> 00:21:47,040
Speaker 1: I think it was I won three times? So what

481
00:21:47,240 --> 00:21:49,520
Speaker 1: was I getting at? Why was I talking about that?

482
00:21:51,480 --> 00:21:56,440
Speaker 1: There was uh the pouch. Oh yeah, that has nothing

483
00:21:56,480 --> 00:21:57,200
Speaker 1: to do with that story.

484
00:21:57,280 --> 00:21:59,280
Speaker 2: Yeah, you're you're talking about the size of the pouch.

485
00:21:59,040 --> 00:22:06,200
Speaker 1: And you I don't know small that if you make

486
00:22:06,280 --> 00:22:11,879
Speaker 1: a what was formerly known as an okay symbol. You

487
00:22:11,880 --> 00:22:16,000
Speaker 1: know they still use this in diving. M hmm, some diving.

488
00:22:16,080 --> 00:22:18,360
Speaker 1: Some his thumbs up, some is okay. So all day

489
00:22:18,359 --> 00:22:22,520
Speaker 1: long and you're like, there's no white surface, white supremacy.

490
00:22:23,040 --> 00:22:26,600
Speaker 1: So you make the okay symbol, and this pouch would

491
00:22:26,600 --> 00:22:30,840
Speaker 1: fit like through the okay symbol, but it rolls out

492
00:22:30,920 --> 00:22:33,320
Speaker 1: to be like a I don't know the size of

493
00:22:33,320 --> 00:22:36,359
Speaker 1: an Algeaene bottle. So when you find Morel's, which is

494
00:22:36,400 --> 00:22:38,480
Speaker 1: what I did, undid it and it's the perfect moral

495
00:22:38,560 --> 00:22:41,840
Speaker 1: pouch hanging off your belt, it's really comfortable. And then

496
00:22:41,840 --> 00:22:45,119
Speaker 1: it's got a seat too for turkey hunt. Yeah, like

497
00:22:45,160 --> 00:22:47,680
Speaker 1: I've always been. I've always been a reluctant user of

498
00:22:47,760 --> 00:22:50,960
Speaker 1: turkey vests. This thing is far, far, far better than

499
00:22:51,000 --> 00:22:52,920
Speaker 1: any turkey vest I've ever done. And when you sit

500
00:22:53,000 --> 00:22:58,879
Speaker 1: down and you open the call pouch outchel pouch, you

501
00:22:58,920 --> 00:23:01,280
Speaker 1: open that out, it kind of opens up, so your

502
00:23:01,359 --> 00:23:04,200
Speaker 1: strikers and your pots are sitting right there, your scratch

503
00:23:04,280 --> 00:23:07,240
Speaker 1: pads sitting right there. Then you zip back up. Youn't

504
00:23:07,240 --> 00:23:09,280
Speaker 1: be leaving everything laying out in the woods, which is

505
00:23:09,280 --> 00:23:09,840
Speaker 1: my problem.

506
00:23:09,920 --> 00:23:12,240
Speaker 4: Oh man, I've left calls laying on the ground, So

507
00:23:12,320 --> 00:23:12,960
Speaker 4: many times.

508
00:23:13,000 --> 00:23:15,800
Speaker 1: I remember calling Doug Darren being like, hey man, you

509
00:23:15,840 --> 00:23:18,680
Speaker 1: know that one tree way at the bat, Like, can

510
00:23:18,720 --> 00:23:21,760
Speaker 1: you look onto their front? You go there and learn

511
00:23:21,760 --> 00:23:25,840
Speaker 1: for my stuff. Uh So that's a good deal. And

512
00:23:25,880 --> 00:23:27,680
Speaker 1: some of that's out now and some's coming out. It'll

513
00:23:27,720 --> 00:23:29,520
Speaker 1: kind of roll out right, Yep.

514
00:23:29,600 --> 00:23:32,160
Speaker 6: Most of it's out now, just in a couple of colors,

515
00:23:32,480 --> 00:23:34,320
Speaker 6: and then the rest of it will launch in February.

516
00:23:34,440 --> 00:23:37,960
Speaker 6: We've got a box call pouch that's launching, the dump

517
00:23:38,000 --> 00:23:40,320
Speaker 6: pouch that you just talked about, and then a couple

518
00:23:40,359 --> 00:23:42,639
Speaker 6: other small accessories like suspenders. If you really want to

519
00:23:42,640 --> 00:23:44,880
Speaker 6: load it up, you can buy suspenders. But the nice

520
00:23:44,880 --> 00:23:46,480
Speaker 6: thing you can use everything independently.

521
00:23:46,560 --> 00:23:48,040
Speaker 1: Oh yeah, and you can tie it into your biny

522
00:23:48,080 --> 00:23:50,760
Speaker 1: harness if you want. Yeah, absolutely no, it's a sweet system.

523
00:23:51,880 --> 00:23:55,360
Speaker 1: I use a lot for too. Fishing in the summer, yeah,

524
00:23:55,440 --> 00:23:56,600
Speaker 1: wading creeks.

525
00:23:56,480 --> 00:23:58,760
Speaker 6: That's definitely what I use it for. So we spend

526
00:23:58,760 --> 00:24:00,800
Speaker 6: a lot of time this fall. We went down to

527
00:24:00,800 --> 00:24:03,640
Speaker 6: Sedona and did flyfishing, and I worked the whole time.

528
00:24:03,680 --> 00:24:04,920
Speaker 6: And it was great.

529
00:24:05,000 --> 00:24:08,200
Speaker 1: You did fly fishing, yep, went I went fly fishing.

530
00:24:08,920 --> 00:24:13,440
Speaker 1: I did it. Did that? Anything else we should know about.

531
00:24:14,520 --> 00:24:17,240
Speaker 6: Lots of exciting stuff coming in twenty five, so we'll

532
00:24:17,240 --> 00:24:19,560
Speaker 6: probably start leaking some of that out in the next

533
00:24:19,720 --> 00:24:20,400
Speaker 6: six months.

534
00:24:20,720 --> 00:24:22,520
Speaker 1: Oh, I don't want to show this. Let's say I

535
00:24:22,640 --> 00:24:25,720
Speaker 1: like this would be available, that'll.

536
00:24:25,560 --> 00:24:28,080
Speaker 6: Be out in twenty five, right.

537
00:24:27,920 --> 00:24:30,280
Speaker 1: Away, in the future. Yeah, all right, thank you for

538
00:24:30,359 --> 00:24:31,120
Speaker 1: letting me try one out.

539
00:24:31,160 --> 00:24:31,320
Speaker 7: Yeah.

540
00:24:31,320 --> 00:24:31,840
Speaker 5: Absolutely.

541
00:24:35,560 --> 00:24:37,080
Speaker 1: Do we want to get into this now, krin Does

542
00:24:37,080 --> 00:24:39,400
Speaker 1: it take too long to get into I.

543
00:24:39,359 --> 00:24:41,760
Speaker 5: Mean, you can feel free to skip any of the things.

544
00:24:41,880 --> 00:24:43,960
Speaker 1: I'm gonna talk about this because we spent a bunch

545
00:24:44,000 --> 00:24:45,879
Speaker 1: of time on this talk about already we got in

546
00:24:45,920 --> 00:24:49,359
Speaker 1: a big old argument. Yeah, this will be the end,

547
00:24:49,720 --> 00:24:52,040
Speaker 1: this will be We're gonna have to bring back that song, Kriinn,

548
00:24:52,320 --> 00:24:54,200
Speaker 1: we've done beat this horse to death?

549
00:24:55,320 --> 00:24:58,359
Speaker 4: Are you going to bring Col's email? While you're at it?

550
00:24:58,480 --> 00:24:59,160
Speaker 1: Cal's email?

551
00:24:59,240 --> 00:25:00,120
Speaker 4: I remember he got all.

552
00:25:01,840 --> 00:25:04,919
Speaker 1: We're talking about this. So we got a little bit

553
00:25:04,920 --> 00:25:07,120
Speaker 1: of a fight here in the studio one day about

554
00:25:07,240 --> 00:25:11,600
Speaker 1: the Ornithological Society's decision to rename sixty birds. I felt

555
00:25:11,680 --> 00:25:16,560
Speaker 1: was obsessive in a in a in a media grab. Nowadays,

556
00:25:16,600 --> 00:25:20,880
Speaker 1: it's like you just give a quick recap. Nowadays, it's

557
00:25:20,960 --> 00:25:23,280
Speaker 1: bad form. Have you ever named a species or been

558
00:25:23,320 --> 00:25:27,439
Speaker 1: involved in naming a species. Carmen, No, no, well, but

559
00:25:27,560 --> 00:25:29,520
Speaker 1: it's not like you think, like I know people that

560
00:25:29,560 --> 00:25:31,800
Speaker 1: have got to name them because you know, they split

561
00:25:31,840 --> 00:25:35,119
Speaker 1: so much in taxonomy. If you worked with invertebrates or

562
00:25:35,160 --> 00:25:37,360
Speaker 1: catfish or something, you get to be involved in all

563
00:25:37,440 --> 00:25:40,320
Speaker 1: kinds of species naming because everybody's like, you know, you

564
00:25:40,320 --> 00:25:42,119
Speaker 1: go down to South America and everybody's like, oh, you

565
00:25:42,119 --> 00:25:44,800
Speaker 1: know that little brown catfish. Then one day you go

566
00:25:44,840 --> 00:25:48,760
Speaker 1: to another river and you realize that whatever, yeah, yeah,

567
00:25:48,880 --> 00:25:53,520
Speaker 1: this one has eight rays on its tail. But next river, rover,

568
00:25:53,560 --> 00:25:55,480
Speaker 1: it's got nine rays on its tail. Then you get

569
00:25:55,480 --> 00:25:58,960
Speaker 1: to name it something new, so that those guys get like,

570
00:25:59,000 --> 00:26:02,720
Speaker 1: if you were in Beatles, you'd be naming something every day.

571
00:26:03,240 --> 00:26:06,040
Speaker 1: Naming worms in South America you probably name one every day,

572
00:26:06,080 --> 00:26:08,320
Speaker 1: But in your business of the cat business, you probably

573
00:26:08,320 --> 00:26:09,919
Speaker 1: don't stumble across the whole hell of a lot of

574
00:26:09,920 --> 00:26:16,720
Speaker 1: new cats. Uh. So it used to be that you

575
00:26:16,960 --> 00:26:20,639
Speaker 1: name stuff your last name, and then the sample we

576
00:26:20,680 --> 00:26:26,080
Speaker 1: always use is stellar. So Steller has the Stellar Sea Lion,

577
00:26:26,840 --> 00:26:32,960
Speaker 1: Steller's j Steller's Eagle. He just ran around naming everything

578
00:26:33,000 --> 00:26:35,159
Speaker 1: after himself. Turns out I didn't know this. He was

579
00:26:35,160 --> 00:26:37,879
Speaker 1: a hell of a nice guy. Uh and also is

580
00:26:38,000 --> 00:26:42,520
Speaker 1: very that's not true Randall's laugh And I don't know

581
00:26:42,560 --> 00:26:44,720
Speaker 1: if he's a hell of a nice guy. He's got

582
00:26:44,720 --> 00:26:49,840
Speaker 1: a random Will you not laugh if I say he's

583
00:26:49,840 --> 00:26:52,520
Speaker 1: got a hell of a resume? No, keep it straight face,

584
00:26:53,280 --> 00:26:56,480
Speaker 1: hell of a resume. And also, really, here's the clip,

585
00:26:56,520 --> 00:26:59,680
Speaker 1: here's the here's the here's the kicker. At a time

586
00:26:59,720 --> 00:27:02,600
Speaker 1: of weren't very interested in this, Stella really went out

587
00:27:02,640 --> 00:27:05,639
Speaker 1: of his way to study, understand, and record the life

588
00:27:05,640 --> 00:27:10,480
Speaker 1: ways of Native Arctic peoples. Do you know that I

589
00:27:10,560 --> 00:27:18,280
Speaker 1: read the same doc Randall's on fire Day? You know

590
00:27:18,359 --> 00:27:21,320
Speaker 1: if you just if you smile, you know these people

591
00:27:21,359 --> 00:27:30,800
Speaker 1: won't know listening. Yeah, that's true. Normally Randley used to

592
00:27:30,800 --> 00:27:33,520
Speaker 1: be a good guest. Remember that. Oh I thought I

593
00:27:33,560 --> 00:27:36,119
Speaker 1: thought I was just doing well? There, No, no, this

594
00:27:36,160 --> 00:27:38,000
Speaker 1: is about Remember who was a real good guest that

595
00:27:38,040 --> 00:27:40,280
Speaker 1: we didn't realize was Max. You should maybe get rid

596
00:27:40,320 --> 00:27:43,119
Speaker 1: of Randall and bring Max in more often. That's the

597
00:27:43,119 --> 00:27:44,479
Speaker 1: hell of a guest, right there. Have you ever been

598
00:27:44,520 --> 00:27:48,040
Speaker 1: in a room in Max? Some maxes I don't know

599
00:27:48,119 --> 00:27:50,960
Speaker 1: which Max Max? Oh, yeah, he's a great guest. You know,

600
00:27:51,600 --> 00:27:53,639
Speaker 1: reinds me of you when you were back, when I

601
00:27:53,760 --> 00:27:58,199
Speaker 1: was back a month ago. So it used to be

602
00:27:58,240 --> 00:28:03,000
Speaker 1: common to name things after oneself. That that has fallen

603
00:28:03,000 --> 00:28:06,040
Speaker 1: out of favor. So what these guys at the Ornithological

604
00:28:06,080 --> 00:28:08,880
Speaker 1: Society are doing is they're saying the hell that they

605
00:28:08,920 --> 00:28:13,560
Speaker 1: want to rename sixty some birds to eliminate anything offensive

606
00:28:13,560 --> 00:28:18,440
Speaker 1: and eliminate anyone's last name, so the stellars j would

607
00:28:18,440 --> 00:28:21,160
Speaker 1: become you know that one purple J or you know right,

608
00:28:21,320 --> 00:28:23,080
Speaker 1: just get rid of it. And this guy wrote in

609
00:28:23,080 --> 00:28:26,119
Speaker 1: who's actually involved in naming a species? And he this

610
00:28:26,160 --> 00:28:29,240
Speaker 1: guy's like, listen, none of this matters different than calch.

611
00:28:29,320 --> 00:28:33,320
Speaker 1: He's interested in it as an intellectual exercise. But he's

612
00:28:33,320 --> 00:28:37,760
Speaker 1: a researcher. What's he work on. He's a taxonomist bees,

613
00:28:38,080 --> 00:28:42,800
Speaker 1: and he works on native bees. Now let me ask you, guys,

614
00:28:42,800 --> 00:28:47,880
Speaker 1: are true or false? The honey bee is no native? False?

615
00:28:48,000 --> 00:28:48,240
Speaker 2: False?

616
00:28:48,360 --> 00:28:55,920
Speaker 1: Is that wild? He works on native bees and deals

617
00:28:55,960 --> 00:28:58,960
Speaker 1: in which means he deals in the nomenclature of native bees.

618
00:29:00,360 --> 00:29:02,800
Speaker 1: And he says, I want to start off by saying

619
00:29:02,800 --> 00:29:05,880
Speaker 1: that the push to not name new species after people,

620
00:29:06,040 --> 00:29:10,520
Speaker 1: even ones who aren't well known, like Stellar, etc. Is

621
00:29:10,600 --> 00:29:13,480
Speaker 1: one that's very strongly felt in the scientific community at

622
00:29:13,480 --> 00:29:16,760
Speaker 1: the moment. And I've been questioned a couple times on

623
00:29:16,800 --> 00:29:19,120
Speaker 1: some of my species names by people who didn't like

624
00:29:19,160 --> 00:29:24,240
Speaker 1: the fact I was naming them after folks, presumably not himself.

625
00:29:25,440 --> 00:29:27,120
Speaker 1: I had a friend that got to name some catfish

626
00:29:27,120 --> 00:29:29,440
Speaker 1: species in South America, and she named them all after

627
00:29:29,480 --> 00:29:37,240
Speaker 1: the indigenous tribes in that area, which is reasonable, He

628
00:29:37,320 --> 00:29:40,400
Speaker 1: points this out. He says, but it's important to note

629
00:29:40,400 --> 00:29:43,960
Speaker 1: that the changing of names after the fact is unheard of.

630
00:29:44,000 --> 00:29:51,240
Speaker 1: There remains to this day a species of beetle named

631
00:29:51,320 --> 00:29:59,160
Speaker 1: after everyone's least favorite Austrian painter. And how would you

632
00:29:59,160 --> 00:30:02,440
Speaker 1: pronounce that, Carmen, Oh, god, you're asking me. Yeah, you're

633
00:30:02,440 --> 00:30:03,680
Speaker 1: probably good on Latin.

634
00:30:06,840 --> 00:30:07,160
Speaker 3: School.

635
00:30:07,200 --> 00:30:07,760
Speaker 1: What'd you say?

636
00:30:08,040 --> 00:30:10,040
Speaker 3: I would say, hitler reiah.

637
00:30:10,240 --> 00:30:11,800
Speaker 1: No, no, no, no no, the first word.

638
00:30:12,160 --> 00:30:18,040
Speaker 3: Oh, and of Thalmas.

639
00:30:19,080 --> 00:30:25,040
Speaker 1: Hitlerai Hitlarai. So here we are. He's got a beatle

640
00:30:25,120 --> 00:30:27,680
Speaker 1: named after him. Uh, And he says, which stands as

641
00:30:27,720 --> 00:30:31,000
Speaker 1: a testament that scientifically, we don't change names for any reason,

642
00:30:31,040 --> 00:30:35,120
Speaker 1: no matter how offensive. It's worth noting this is him

643
00:30:35,200 --> 00:30:37,800
Speaker 1: still talking. It's worth noting However, with this whole situation

644
00:30:37,920 --> 00:30:44,160
Speaker 1: that the Ornithological Society is in trumpiann ot all Capital

645
00:30:44,680 --> 00:30:49,800
Speaker 1: is not the authoritative body on nomenclatural acts of animals.

646
00:30:50,240 --> 00:30:53,560
Speaker 1: That is solely the domain of the Board of the

647
00:30:53,680 --> 00:31:00,720
Speaker 1: i c z N, the International Code of Zoological Omenclature.

648
00:31:02,280 --> 00:31:05,640
Speaker 1: They are not changing the actual names of these birds,

649
00:31:05,720 --> 00:31:10,000
Speaker 1: but they're changing their own meaning the Ornithological Society. They're

650
00:31:10,040 --> 00:31:13,560
Speaker 1: not changing the actual names of these birds, they're changing

651
00:31:13,640 --> 00:31:17,840
Speaker 1: their own suggestions for common names, which is fun, as

652
00:31:17,920 --> 00:31:21,959
Speaker 1: the person writing in then editorializes and says, which is

653
00:31:22,000 --> 00:31:27,640
Speaker 1: fundamentally meaningless. It would be the equivalent of pheasants forever

654
00:31:28,360 --> 00:31:32,640
Speaker 1: deciding that they're going to call the bird the American

655
00:31:32,800 --> 00:31:37,400
Speaker 1: ring necked pheasant. So okay, right now, if you look

656
00:31:37,440 --> 00:31:38,560
Speaker 1: up a pheasant right now, you know, do you know

657
00:31:38,560 --> 00:31:41,959
Speaker 1: what the pheasant is called? Chinese ring neck face? Its

658
00:31:42,000 --> 00:31:45,320
Speaker 1: official name is the Chinese ring necked pheasant. He's saying,

659
00:31:45,440 --> 00:31:47,680
Speaker 1: the pheasants forever could one day say from now on,

660
00:31:47,760 --> 00:31:52,120
Speaker 1: it's the American ring neck pheasant, Like, oh, you'll you'll

661
00:31:52,120 --> 00:31:55,800
Speaker 1: find this interesting, Brooklyn. I got sick of people calling

662
00:31:55,880 --> 00:31:58,240
Speaker 1: skulls European mounts because I just didn't see what's so

663
00:31:58,320 --> 00:32:04,800
Speaker 1: European about it? Like Native Americans used cleaned up skulls

664
00:32:04,960 --> 00:32:07,280
Speaker 1: in the Sundance seapoint, did they called a euro amount?

665
00:32:09,120 --> 00:32:13,280
Speaker 1: They didn't. So I started calling them freedom mounts in

666
00:32:14,680 --> 00:32:17,720
Speaker 1: memory of when we had to reban French fries during

667
00:32:17,760 --> 00:32:20,960
Speaker 1: the Iraq invasion because the French didn't want us. The

668
00:32:21,000 --> 00:32:26,960
Speaker 1: French thought that that was not a good idea, stupid,

669
00:32:27,040 --> 00:32:32,320
Speaker 1: That was how dumb they were, and so in retaliation

670
00:32:32,560 --> 00:32:35,760
Speaker 1: they proposed that French fries become Freedom fries, and then

671
00:32:35,800 --> 00:32:38,600
Speaker 1: I think promptly went back to French fry after that debacle.

672
00:32:39,280 --> 00:32:43,400
Speaker 1: Uh So, he says if the if the pheasants forever

673
00:32:43,400 --> 00:32:44,800
Speaker 1: all of a sudden came out and said, hey, you

674
00:32:44,840 --> 00:32:47,160
Speaker 1: know what, we're gonna call it the American ring neck pheasant,

675
00:32:47,480 --> 00:32:49,800
Speaker 1: the rest of the world would be like, call what

676
00:32:49,880 --> 00:32:52,000
Speaker 1: you want, buddy. At the end of the day, it's

677
00:32:52,040 --> 00:32:59,920
Speaker 1: still Phasianus cole chicus. He says this is a sense

678
00:33:00,200 --> 00:33:03,760
Speaker 1: especially true for birds like Steve's favorite Stellar's j. The

679
00:33:03,880 --> 00:33:07,680
Speaker 1: Ornithological Society can change the name to the anti Stellar's

680
00:33:07,800 --> 00:33:14,160
Speaker 1: J all they want. The species name will still be

681
00:33:14,920 --> 00:33:20,000
Speaker 1: Cyan Nordica stellary which means that Stellar's j remains the

682
00:33:20,080 --> 00:33:23,800
Speaker 1: technically correct name, and if I've been paying attention to trivia,

683
00:33:23,920 --> 00:33:27,800
Speaker 1: it seems being technically correct is Steve's favorite kind of correct.

684
00:33:29,680 --> 00:33:33,040
Speaker 1: He goes on, Overall, this move by the Ornithological Society

685
00:33:33,080 --> 00:33:36,080
Speaker 1: seems strange to me, as someone whose literal job is

686
00:33:36,120 --> 00:33:41,160
Speaker 1: to assign and assess the validity of species names once

687
00:33:41,200 --> 00:33:46,000
Speaker 1: in place, provided they remain valid. Scientific names never change,

688
00:33:46,040 --> 00:33:49,440
Speaker 1: no matter how offensive, and they certainly don't prevent people

689
00:33:49,440 --> 00:33:54,160
Speaker 1: from entering the scientific fields associated with those names. So

690
00:33:54,320 --> 00:33:57,720
Speaker 1: the suggestion that some birds may feel excluded by the

691
00:33:57,760 --> 00:34:01,280
Speaker 1: fact that a J is named after Stellar holds about

692
00:34:01,320 --> 00:34:07,800
Speaker 1: as much water as changing its common name does. Dirk

693
00:34:07,840 --> 00:34:10,560
Speaker 1: and also our beloved friend Pat Dirkin, also wrote an

694
00:34:10,640 --> 00:34:14,440
Speaker 1: article about that covers on the changing of bird names

695
00:34:14,480 --> 00:34:17,800
Speaker 1: and also gets into mainly focuses in on a movement

696
00:34:19,560 --> 00:34:21,160
Speaker 1: this is this is gonna sound like a joke, but

697
00:34:21,200 --> 00:34:26,320
Speaker 1: it's not a movement to coin the term bob kitten

698
00:34:28,200 --> 00:34:33,160
Speaker 1: for a bobcat kitten. There's even a there's even like

699
00:34:33,200 --> 00:34:37,840
Speaker 1: a change dot org petition, and he tracks how the

700
00:34:38,000 --> 00:34:42,279
Speaker 1: media has picked up on bob kitten, which really, I

701
00:34:42,320 --> 00:34:47,839
Speaker 1: guess irritates the hell out of bobcat researchers. So watch

702
00:34:47,880 --> 00:34:50,840
Speaker 1: out for the word bob kitten. You ever throw that around? No,

703
00:34:51,200 --> 00:34:53,799
Speaker 1: you ever heard it. Pat might be trying to make up.

704
00:34:54,200 --> 00:34:56,040
Speaker 1: Pat might be doing that thing they do on Fox

705
00:34:56,080 --> 00:34:57,600
Speaker 1: a lot, or they take a thing that isn't really

706
00:34:57,640 --> 00:34:59,200
Speaker 1: a thing but make it like it's a big thing

707
00:34:59,239 --> 00:35:00,480
Speaker 1: to be worried about. M hmm.

708
00:35:00,600 --> 00:35:02,200
Speaker 4: I read the article. It seemed legit.

709
00:35:02,640 --> 00:35:05,000
Speaker 1: You'll think pass doing that. No, he had a lot

710
00:35:05,000 --> 00:35:07,720
Speaker 1: of cases of people trying to say bob kit. Pat

711
00:35:07,760 --> 00:35:19,840
Speaker 1: does not like that one bit. This is up in

712
00:35:19,880 --> 00:35:21,360
Speaker 1: your neck of the woods, Carmen, you're ready for this

713
00:35:21,440 --> 00:35:29,040
Speaker 1: news item? Yeah, US government wants five hundred thousand barred owls.

714
00:35:29,120 --> 00:35:32,400
Speaker 1: Cold cal told me this, and I thought that cannot

715
00:35:32,400 --> 00:35:34,200
Speaker 1: be true. But I didn't know that bard owls aren't

716
00:35:34,280 --> 00:35:38,120
Speaker 1: native to the Pacific Northwest. No, No, those dudes are

717
00:35:38,560 --> 00:35:39,359
Speaker 1: everywhere now.

718
00:35:40,000 --> 00:35:42,840
Speaker 3: Yep. They're kind of like white tails. They can just

719
00:35:42,880 --> 00:35:47,319
Speaker 3: creep on in and they they do better and can

720
00:35:47,360 --> 00:35:50,120
Speaker 3: out compete spotted owls.

721
00:35:51,160 --> 00:35:52,799
Speaker 2: Yeah, remember the ones at the fish Act.

722
00:35:52,880 --> 00:35:55,720
Speaker 1: Yeah, I never ever at our fishack in Salt East Alaska.

723
00:35:56,480 --> 00:36:00,160
Speaker 1: Never heard them. They're up there ripping all spring of there.

724
00:36:00,360 --> 00:36:01,880
Speaker 3: It makes some freaky noises.

725
00:36:02,080 --> 00:36:07,840
Speaker 1: Seth will show you do it, Seth, they do the Yeah,

726
00:36:08,040 --> 00:36:11,040
Speaker 1: well do the main one.

727
00:36:12,520 --> 00:36:14,600
Speaker 3: There's a screechy, screaming one too, then.

728
00:36:17,320 --> 00:36:18,359
Speaker 1: Seth can rip it. They say.

729
00:36:18,440 --> 00:36:20,520
Speaker 2: They sound like a pack of monkeys sometimes, like up

730
00:36:20,520 --> 00:36:21,040
Speaker 2: in the trees.

731
00:36:21,400 --> 00:36:23,160
Speaker 1: I had no idea they weren't from around. I mean,

732
00:36:23,200 --> 00:36:26,080
Speaker 1: I feel like, like, just anecdotally, if you just said

733
00:36:26,080 --> 00:36:28,360
Speaker 1: to me, do you hear more barred owls than you

734
00:36:28,480 --> 00:36:30,719
Speaker 1: used to? I would have said, like, definitely, Yeah, But

735
00:36:30,760 --> 00:36:32,879
Speaker 1: I never ever knew that they weren't from there.

736
00:36:33,160 --> 00:36:34,360
Speaker 3: Yeah, yeah, they're creepers.

737
00:36:35,120 --> 00:36:37,800
Speaker 1: So this is the news article from this was covered

738
00:36:37,800 --> 00:36:41,440
Speaker 1: in Newsweek. I'm not sure where else was covered. The

739
00:36:41,520 --> 00:36:43,400
Speaker 1: US Fish and wild They Service wants more than a

740
00:36:43,440 --> 00:36:47,719
Speaker 1: half million barred owls to be shot dead lively language,

741
00:36:50,760 --> 00:36:54,400
Speaker 1: not just shot my gunfire, not just shot, not just

742
00:36:54,440 --> 00:36:58,759
Speaker 1: shot and wounded, shot dead in a coal to help

743
00:36:58,800 --> 00:37:01,760
Speaker 1: protect other native species. These barred owls are an invasive

744
00:37:01,960 --> 00:37:06,320
Speaker 1: an invasive species in the Pacific northwest from the east coast.

745
00:37:06,680 --> 00:37:07,840
Speaker 4: That's where I have a question.

746
00:37:07,920 --> 00:37:08,120
Speaker 1: Though.

747
00:37:08,160 --> 00:37:11,120
Speaker 4: If something makes its way there naturally.

748
00:37:10,760 --> 00:37:11,600
Speaker 1: It's not invasive.

749
00:37:12,640 --> 00:37:14,120
Speaker 4: It's not like we dumped them there.

750
00:37:14,239 --> 00:37:17,200
Speaker 1: Yeah, this brings up a really interesting language thing, and

751
00:37:17,320 --> 00:37:21,080
Speaker 1: we've talked about this a million times. That'd be because

752
00:37:21,120 --> 00:37:25,000
Speaker 1: if you move somewhere on your own, are you invasive?

753
00:37:25,480 --> 00:37:31,239
Speaker 1: Because you would never say, like like, possums used to

754
00:37:31,239 --> 00:37:34,520
Speaker 1: not extend outside of the Mason Dixon line, but they

755
00:37:34,520 --> 00:37:36,640
Speaker 1: do now. But no one says possums are invasive. They

756
00:37:36,640 --> 00:37:41,440
Speaker 1: just moved. Javelinas have gradually moved northward, but they're not

757
00:37:41,560 --> 00:37:44,480
Speaker 1: invasive in the northern end of their range in Texas.

758
00:37:45,040 --> 00:37:48,919
Speaker 1: You would never say that humans who move themselves out

759
00:37:48,960 --> 00:37:52,120
Speaker 1: of Africa all around the entire planet, you would never

760
00:37:52,160 --> 00:37:54,879
Speaker 1: say humans are invasive. Some people would, but I get yeah,

761
00:37:54,920 --> 00:37:55,319
Speaker 1: you're right.

762
00:37:55,560 --> 00:37:58,359
Speaker 3: I think the spirit of it, though, is that these

763
00:37:58,360 --> 00:38:04,000
Speaker 3: are species that have have moved into places because of

764
00:38:04,120 --> 00:38:07,440
Speaker 3: changes in the habitat and the ecology that that humans

765
00:38:07,440 --> 00:38:08,120
Speaker 3: have brought around.

766
00:38:08,520 --> 00:38:08,759
Speaker 2: Yeah.

767
00:38:08,920 --> 00:38:11,440
Speaker 1: I get that. That's a good point, indirectly indirect to

768
00:38:11,520 --> 00:38:16,400
Speaker 1: human Yeah, meaning if a monkey hop down a plane,

769
00:38:16,760 --> 00:38:18,960
Speaker 1: two monkeys who were in love hop down a plane

770
00:38:21,520 --> 00:38:24,640
Speaker 1: and started a new population somewhere, you wouldn't go, well,

771
00:38:24,719 --> 00:38:27,640
Speaker 1: they moved themselves around by hopping out of the plane,

772
00:38:27,719 --> 00:38:31,759
Speaker 1: you would they would be very readily labeled invasive species. Yeah,

773
00:38:31,880 --> 00:38:33,799
Speaker 1: so I guess if you're paving the way from them

774
00:38:33,960 --> 00:38:36,319
Speaker 1: exactly like how white tailed, like how mild you are

775
00:38:36,320 --> 00:38:40,479
Speaker 1: coming into Alaska, they're coming along the highway corridor. Yeah,

776
00:38:41,960 --> 00:38:44,200
Speaker 1: that's a good point. Count back to being mad at

777
00:38:44,200 --> 00:38:45,799
Speaker 1: bart I was mad at them, Now I'm back to

778
00:38:45,840 --> 00:38:51,480
Speaker 1: being mad. This is so in areas where bard owls

779
00:38:51,480 --> 00:38:55,560
Speaker 1: are present higher numbers, Northern spotted owl populations are declining rapidly.

780
00:38:56,920 --> 00:38:59,520
Speaker 1: They are now listed as a threat as threatened under

781
00:38:59,560 --> 00:39:02,799
Speaker 1: the Endanger Species Act, with populations having declined to buy

782
00:39:02,840 --> 00:39:06,560
Speaker 1: between thirty five percent and eighty percent over the past

783
00:39:06,600 --> 00:39:10,759
Speaker 1: twenty years due to bar owls karma. You do having

784
00:39:10,800 --> 00:39:15,080
Speaker 1: to know the karma is not an ALLA biologist. What's

785
00:39:15,120 --> 00:39:18,200
Speaker 1: going on? How are they all competing? Is for nesting

786
00:39:18,200 --> 00:39:19,799
Speaker 1: cavities or what are they arguing about.

787
00:39:19,960 --> 00:39:23,120
Speaker 3: I don't know the exact mechanism, but when you get

788
00:39:23,160 --> 00:39:25,879
Speaker 3: bart owls out of there, if the habitat suitable, you're

789
00:39:25,880 --> 00:39:30,120
Speaker 3: getting spotted owls back. And this is Yeah, this isn't

790
00:39:30,560 --> 00:39:33,759
Speaker 3: a new Controlling bart owls isn't a completely new thing.

791
00:39:33,800 --> 00:39:38,080
Speaker 3: I've got a wonderful friend and colleague and she's a

792
00:39:38,080 --> 00:39:43,000
Speaker 3: great biologist, total badass, and she her job for a

793
00:39:43,000 --> 00:39:45,839
Speaker 3: long time was going out hunting bart owls at night.

794
00:39:46,200 --> 00:39:47,640
Speaker 1: That's the question shooting to kill?

795
00:39:48,200 --> 00:39:51,000
Speaker 4: Yep, that's a quick question I had about this whole thing,

796
00:39:51,000 --> 00:39:54,640
Speaker 4: because they're planned to kill half a million.

797
00:39:54,560 --> 00:39:57,560
Speaker 1: Over Actually we should point out here, Yeah, it's over thirty.

798
00:39:57,360 --> 00:40:01,160
Speaker 4: Years, right, because it's like gonna go out and shoot

799
00:40:01,520 --> 00:40:03,400
Speaker 4: a couple of hundred of them at night. They're like

800
00:40:03,480 --> 00:40:06,279
Speaker 4: what I read is they call them, they use you

801
00:40:06,280 --> 00:40:06,880
Speaker 4: know whatever.

802
00:40:07,200 --> 00:40:09,960
Speaker 1: Theremore and Clay could have got four or five in

803
00:40:10,280 --> 00:40:11,320
Speaker 1: Florida calling.

804
00:40:11,480 --> 00:40:13,759
Speaker 4: Right, but four or five a night.

805
00:40:14,000 --> 00:40:18,680
Speaker 1: Two dudes like going to take that good math. I know,

806
00:40:18,719 --> 00:40:23,640
Speaker 1: if we get to five hundred thousand, it just yeah,

807
00:40:23,680 --> 00:40:25,879
Speaker 1: do you know who's who's going to do it? They're

808
00:40:25,920 --> 00:40:26,359
Speaker 1: going to do it.

809
00:40:26,280 --> 00:40:29,040
Speaker 3: Themselves, the government.

810
00:40:30,600 --> 00:40:31,720
Speaker 1: Like citizen shooters.

811
00:40:31,800 --> 00:40:33,719
Speaker 3: I have no idea. I have no idea. I mean,

812
00:40:33,760 --> 00:40:37,319
Speaker 3: you you know, you want to trust somebody that they're

813
00:40:37,320 --> 00:40:41,360
Speaker 3: good at their owl id Right, they're.

814
00:40:41,160 --> 00:40:48,239
Speaker 1: About horns, got the northern spots like every owl I saw.

815
00:40:49,320 --> 00:40:50,800
Speaker 3: It's a it's a careful operation.

816
00:40:51,960 --> 00:40:56,640
Speaker 1: Uh. Long time ago we were having uh we were

817
00:40:56,680 --> 00:40:59,920
Speaker 1: covering this thing in the news it was it the

818
00:41:00,200 --> 00:41:02,399
Speaker 1: this involves Dirk and has to do with like whether

819
00:41:02,400 --> 00:41:04,960
Speaker 1: you could ever give someone You could ever say to someone,

820
00:41:05,239 --> 00:41:07,480
Speaker 1: kill bar owls, but don't kill all the other owls.

821
00:41:07,680 --> 00:41:10,000
Speaker 1: But think about what you're saying. Though we were laughing

822
00:41:10,000 --> 00:41:14,200
Speaker 1: about their inability to do it. How come you can say, okay,

823
00:41:14,680 --> 00:41:21,959
Speaker 1: you can get seven drake mallards, two hen mallards, one

824
00:41:23,239 --> 00:41:33,279
Speaker 1: hen northern pintail, no scop but on and on some

825
00:41:33,360 --> 00:41:36,719
Speaker 1: canvas backs, but no scoffs, redheads, okay, right, Like people

826
00:41:36,760 --> 00:41:42,000
Speaker 1: are capable of some pretty specific identification. We were covering

827
00:41:42,000 --> 00:41:45,040
Speaker 1: this push where they're trying to get in Wisconsin northern

828
00:41:45,080 --> 00:41:48,000
Speaker 1: pike spearing legalized. I had no idea until this happened

829
00:41:48,040 --> 00:41:50,719
Speaker 1: that you couldn't spear a pike in Wisconsin. And they

830
00:41:50,719 --> 00:41:52,759
Speaker 1: were like, well, anglers won't be able to tell the

831
00:41:52,800 --> 00:41:58,600
Speaker 1: difference between a northern and a muskie. Dirk and rolled

832
00:41:58,600 --> 00:41:59,680
Speaker 1: it in and be like, well, how can you be

833
00:41:59,719 --> 00:42:04,800
Speaker 1: trust to tell the difference between you know, a sharp

834
00:42:04,840 --> 00:42:07,160
Speaker 1: tail grouse and a greater sage grouse and a hen

835
00:42:07,200 --> 00:42:09,160
Speaker 1: pheasant and the male you know, on on and on,

836
00:42:09,320 --> 00:42:11,560
Speaker 1: or all the duck stuff you're trusted to tell the difference,

837
00:42:11,560 --> 00:42:14,880
Speaker 1: but you can't trust tell the difference between these two fish.

838
00:42:15,120 --> 00:42:16,920
Speaker 1: And someone rode in to say, you don't know how

839
00:42:17,000 --> 00:42:21,440
Speaker 1: drunk these people are and talking about the ice fisherman

840
00:42:21,480 --> 00:42:26,200
Speaker 1: in Wisconsin. So we'll see what happens there.

841
00:42:28,560 --> 00:42:32,400
Speaker 3: Yeah, I think that. I mean, I got I have

842
00:42:32,480 --> 00:42:35,160
Speaker 3: lots of thoughts about invasive species control and all that,

843
00:42:35,280 --> 00:42:39,840
Speaker 3: and I think it's I'm not an invasive species manager,

844
00:42:40,080 --> 00:42:43,400
Speaker 3: but I can appreciate what a difficult job that is

845
00:42:43,960 --> 00:42:48,880
Speaker 3: because on the one hand, you know, crowdsourcing this or

846
00:42:48,960 --> 00:42:52,399
Speaker 3: using you know, the community to help out, I mean,

847
00:42:52,840 --> 00:42:56,200
Speaker 3: that's that's an obvious way to get more shit done.

848
00:42:57,239 --> 00:43:01,080
Speaker 3: But you're weighing all these other things. You're saying, Okay,

849
00:43:01,440 --> 00:43:06,359
Speaker 3: what are the consequences of, like government sanctioned hunt where

850
00:43:06,400 --> 00:43:09,000
Speaker 3: we've got people out at night who are not just

851
00:43:09,000 --> 00:43:11,440
Speaker 3: telling two birds apart, but trying to tell an evasive

852
00:43:11,480 --> 00:43:16,840
Speaker 3: species at night from spotted owl, which would be a

853
00:43:16,880 --> 00:43:17,560
Speaker 3: big bummer.

854
00:43:18,880 --> 00:43:20,480
Speaker 1: How big is the spotted owl? Same size?

855
00:43:20,560 --> 00:43:23,240
Speaker 3: Not the same size? Yeah, I mean, they're not wildly

856
00:43:23,239 --> 00:43:28,000
Speaker 3: different creatures, you know, it's it's a that's a higher risk,

857
00:43:28,239 --> 00:43:30,640
Speaker 3: and when you've got a population of owls that is

858
00:43:30,640 --> 00:43:33,759
Speaker 3: is really low like spotted owls. You want to make

859
00:43:33,760 --> 00:43:34,919
Speaker 3: sure people are getting it right.

860
00:43:35,120 --> 00:43:44,120
Speaker 1: Got it. You're pro big government. Here's a good SEGUEU.

861
00:43:44,840 --> 00:43:47,520
Speaker 1: What's the most ready way can you be? In a

862
00:43:47,560 --> 00:43:49,839
Speaker 1: links researcher, you have to have a lot of people

863
00:43:49,880 --> 00:43:52,719
Speaker 1: who tell you they saw links. Yes, and it's a bobcat.

864
00:43:53,280 --> 00:43:53,520
Speaker 3: Yeah.

865
00:43:53,600 --> 00:43:56,120
Speaker 1: I was dogging on my sister. I was dogging on

866
00:43:56,160 --> 00:43:58,160
Speaker 1: camera guys a minute ago about that dude holding the

867
00:43:58,160 --> 00:44:00,000
Speaker 1: turkey call. So I don't want to dog on them again.

868
00:44:00,200 --> 00:44:02,279
Speaker 1: So I'll tell you that I can't remember what type

869
00:44:02,320 --> 00:44:06,600
Speaker 1: of person does happened to. There's one of these types

870
00:44:06,600 --> 00:44:10,200
Speaker 1: of people. I can't tell you what type. Swear always

871
00:44:10,400 --> 00:44:12,359
Speaker 1: swears me up and down about the links he saw

872
00:44:13,040 --> 00:44:15,600
Speaker 1: and just by where it was. I'm like, no, you

873
00:44:15,760 --> 00:44:18,759
Speaker 1: just didn't. It had toughs on its ears. I'm like

874
00:44:19,719 --> 00:44:21,359
Speaker 1: it did, but not that kind.

875
00:44:22,680 --> 00:44:26,880
Speaker 3: The way I handle that is I hate bursting people's bubbles,

876
00:44:26,880 --> 00:44:29,240
Speaker 3: and so I try to do it pretty gentle. Plus,

877
00:44:30,040 --> 00:44:33,760
Speaker 3: links go weird places, and when there's invasions of links,

878
00:44:34,040 --> 00:44:36,200
Speaker 3: or one has gotten kicked out of its its own

879
00:44:36,200 --> 00:44:38,440
Speaker 3: home range because it's an old links or whatever, they

880
00:44:38,520 --> 00:44:39,880
Speaker 3: end up in strange.

881
00:44:39,480 --> 00:44:41,680
Speaker 1: But they do. Oh yeah, so maybe this guy's right.

882
00:44:42,080 --> 00:44:45,400
Speaker 3: There's always a chance, And so I will usually say something.

883
00:44:45,200 --> 00:44:47,360
Speaker 1: Like, I know you're out there. If you took offence,

884
00:44:47,400 --> 00:44:48,080
Speaker 1: i'd take it back.

885
00:44:48,280 --> 00:44:52,080
Speaker 3: I would say something like for where that was, I

886
00:44:52,080 --> 00:44:55,880
Speaker 3: would be very surprised. But links go weird places, you

887
00:44:55,920 --> 00:44:57,520
Speaker 3: never know. So that's pretty.

888
00:44:57,160 --> 00:45:01,120
Speaker 1: Cool, that's what you'll say. Yeah, you'll throw them a

889
00:45:01,120 --> 00:45:01,680
Speaker 1: little bone.

890
00:45:01,800 --> 00:45:05,160
Speaker 3: Yeah, yeah, And because I keep the dream alive exactly, Yes,

891
00:45:05,200 --> 00:45:06,520
Speaker 3: I don't want to be a dream smasher.

892
00:45:07,520 --> 00:45:10,000
Speaker 1: I've laided my eyes on one LINX. I know it

893
00:45:10,040 --> 00:45:12,120
Speaker 1: was a link because it was in the Arctic.

894
00:45:12,520 --> 00:45:13,760
Speaker 3: Yes, that's pretty solid.

895
00:45:13,880 --> 00:45:16,479
Speaker 1: It was just on the south slope of the Brooks Range.

896
00:45:16,719 --> 00:45:21,279
Speaker 1: It stepped out into the pipeline road and twenty feet

897
00:45:21,320 --> 00:45:27,440
Speaker 1: off the bumper, and it was like looking into another planet.

898
00:45:27,880 --> 00:45:30,719
Speaker 1: It was the first links I saw. I'm convinced I

899
00:45:30,800 --> 00:45:33,120
Speaker 1: was the first person it saw. It looked at me

900
00:45:33,160 --> 00:45:37,520
Speaker 1: with like uttered, like disinterest, but also no sort of

901
00:45:37,640 --> 00:45:41,520
Speaker 1: preconceived notion of what that I might be trouble as

902
00:45:41,560 --> 00:45:44,920
Speaker 1: I opened the door and then he just walked off.

903
00:45:45,000 --> 00:45:46,120
Speaker 1: Never that has on another one.

904
00:45:46,840 --> 00:45:47,680
Speaker 3: That's pretty special.

905
00:45:48,000 --> 00:45:49,399
Speaker 1: How many people for the one?

906
00:45:49,520 --> 00:45:49,759
Speaker 9: Yeah?

907
00:45:49,800 --> 00:45:51,160
Speaker 1: I don't know if I'll get to see another one,

908
00:45:51,200 --> 00:45:52,360
Speaker 1: but that was the one I saw, and it was

909
00:45:52,480 --> 00:45:54,799
Speaker 1: it was like they have a face like it's like

910
00:45:54,800 --> 00:45:56,280
Speaker 1: they have a human baby face.

911
00:45:56,719 --> 00:45:58,440
Speaker 3: That's funny. I always say they have an old man

912
00:45:58,520 --> 00:45:59,919
Speaker 3: face the same.

913
00:46:02,040 --> 00:46:04,279
Speaker 1: You know, Phil lost it. It was one of my

914
00:46:04,320 --> 00:46:09,880
Speaker 1: favorite things I owned. Phil lost it. I used to

915
00:46:09,920 --> 00:46:12,440
Speaker 1: have responsibility. I used to have this quote. It was

916
00:46:12,440 --> 00:46:14,680
Speaker 1: framed in our old studio. You might have read it.

917
00:46:14,680 --> 00:46:17,520
Speaker 1: It was a guy talking about on seeing his children born.

918
00:46:17,600 --> 00:46:19,480
Speaker 1: It was an Irish writer talking about and seeing his

919
00:46:19,560 --> 00:46:24,479
Speaker 1: children born that when they come out, how ancient they are.

920
00:46:26,120 --> 00:46:29,320
Speaker 1: And he said, like Egyptian pharaohs, like with their features

921
00:46:29,320 --> 00:46:35,239
Speaker 1: smoothed by time, traveled across this immense journey to be here,

922
00:46:36,400 --> 00:46:39,120
Speaker 1: and he goes and then in an instant they become young.

923
00:46:40,880 --> 00:46:42,560
Speaker 1: So meaning it can be an old man in a

924
00:46:42,560 --> 00:46:45,000
Speaker 1: little baby like a human baby.

925
00:46:45,719 --> 00:46:46,160
Speaker 3: The same page.

926
00:46:46,400 --> 00:46:48,239
Speaker 1: Human babies come out, they look like crazy old men

927
00:46:48,680 --> 00:46:51,680
Speaker 1: for a couple of seconds. What else are you looking

928
00:46:51,680 --> 00:46:54,200
Speaker 1: at when you're looking, Just to verify, when someone says,

929
00:46:54,200 --> 00:46:54,440
Speaker 1: oh my.

930
00:46:54,440 --> 00:46:58,320
Speaker 3: God, a Lynx, the feet they got kind of a

931
00:46:58,400 --> 00:47:01,440
Speaker 3: jacked up back end, meaning that their their butts are a

932
00:47:01,480 --> 00:47:02,319
Speaker 3: little higher than.

933
00:47:02,239 --> 00:47:05,080
Speaker 1: Their Now you say that, that's a good point.

934
00:47:05,200 --> 00:47:09,000
Speaker 3: Yeah, and then they're there are tails, so bobcats. The

935
00:47:09,360 --> 00:47:11,600
Speaker 3: tip of the of a bobcat tail is black on

936
00:47:11,760 --> 00:47:14,360
Speaker 3: top and the sides and then white underneath, whereas a

937
00:47:14,360 --> 00:47:17,319
Speaker 3: bobcat it's like their tail was back or sorry, a

938
00:47:17,400 --> 00:47:20,560
Speaker 3: lynx is dipped in ink like it's black all the

939
00:47:20,600 --> 00:47:27,320
Speaker 3: way around on the tip yet white. Okay, bobcat white

940
00:47:27,320 --> 00:47:31,000
Speaker 3: on the bottom links the end of their tail completely

941
00:47:31,040 --> 00:47:33,000
Speaker 3: black all the way around. No white on the bottom.

942
00:47:33,200 --> 00:47:35,360
Speaker 1: Oh, I mean if he turned his tail up, yeah.

943
00:47:35,239 --> 00:47:36,920
Speaker 3: Or if you can you can see it from the side,

944
00:47:36,960 --> 00:47:38,879
Speaker 3: even on a bobcat, that's that's one of the.

945
00:47:38,920 --> 00:47:41,760
Speaker 1: Under So the underside of a lynx's tail.

946
00:47:42,160 --> 00:47:44,239
Speaker 3: Okay, yeah, if you're saying about a lynx's tail and

947
00:47:44,280 --> 00:47:46,840
Speaker 3: there's the tip of it and the top of it

948
00:47:46,920 --> 00:47:50,640
Speaker 3: and sides are are black there, but on the bottom.

949
00:47:50,320 --> 00:47:51,800
Speaker 1: Is white on a lynx.

950
00:47:52,040 --> 00:47:55,120
Speaker 3: Nope, bobcat, you'll get it. You'll get it.

951
00:47:55,280 --> 00:47:58,080
Speaker 1: No, I'll get there. Okay, let's start with a bobcat.

952
00:47:58,360 --> 00:48:01,759
Speaker 1: Tell me about a bobcat's tail. Bobcat's tail and people know,

953
00:48:01,880 --> 00:48:04,840
Speaker 1: just so you know, people, this is helpful people that

954
00:48:04,960 --> 00:48:06,640
Speaker 1: send us in photos wondering what they're looking at.

955
00:48:06,920 --> 00:48:08,120
Speaker 3: This is a good one for photos.

956
00:48:08,160 --> 00:48:11,120
Speaker 1: Bobcat, it has a It means it's a cat with

957
00:48:11,239 --> 00:48:12,080
Speaker 1: Bob's tail.

958
00:48:12,280 --> 00:48:14,000
Speaker 3: Yes, which a links also has a.

959
00:48:14,440 --> 00:48:17,720
Speaker 1: Has a bobtail. So Bobcat's tail looks like this.

960
00:48:17,760 --> 00:48:20,799
Speaker 3: Looks like this black. Okay, we're talking about the end

961
00:48:20,800 --> 00:48:23,160
Speaker 3: of the tail, a tip of the tail. It's black

962
00:48:23,200 --> 00:48:25,640
Speaker 3: on top, white on the bottom.

963
00:48:26,360 --> 00:48:27,719
Speaker 1: And I wouldn't have been able to tell you that

964
00:48:27,719 --> 00:48:29,279
Speaker 1: that mean I've handled him, and I wouldn't be able

965
00:48:29,280 --> 00:48:31,400
Speaker 1: to tell you that's true. I believe I just never looked.

966
00:48:31,280 --> 00:48:34,759
Speaker 3: At Yeah, and so even from the side, So if

967
00:48:34,760 --> 00:48:37,000
Speaker 3: you're looking at trail camera pictures and you can see

968
00:48:37,040 --> 00:48:39,520
Speaker 3: the tail, this is really really helpful because you'll see

969
00:48:39,520 --> 00:48:42,000
Speaker 3: some white on a bobcat. Even from the side, you

970
00:48:42,000 --> 00:48:43,840
Speaker 3: can you can see that the bottom is white, whereas

971
00:48:43,840 --> 00:48:46,799
Speaker 3: a lynx, the entire end of the tail looks like

972
00:48:46,840 --> 00:48:48,600
Speaker 3: it was dipped into black ink.

973
00:48:49,320 --> 00:48:52,359
Speaker 1: No kidding, Yeah, just funny about links is I want

974
00:48:52,360 --> 00:48:55,920
Speaker 1: you to talk about the range of links. But are

975
00:48:55,960 --> 00:48:58,279
Speaker 1: you familiar with the comedian Jerry Klower. He's dead. No,

976
00:48:58,800 --> 00:49:00,279
Speaker 1: he was a storytelling He used to get up at

977
00:49:00,280 --> 00:49:03,040
Speaker 1: the Grand Old Opry between musical acts and tell hunting stories.

978
00:49:03,920 --> 00:49:10,520
Speaker 1: Different time. He has a story about a guy that uh,

979
00:49:12,200 --> 00:49:14,719
Speaker 1: he has a story about Some of his characters are

980
00:49:14,719 --> 00:49:18,919
Speaker 1: out raccoon hunting that night in Mississippi, Okay, and there's

981
00:49:18,960 --> 00:49:23,680
Speaker 1: a guy they're hunting with who won't let anyone shoot.

982
00:49:23,880 --> 00:49:26,520
Speaker 1: He thinks it's disrespectful to shoot a raccoon out of

983
00:49:26,520 --> 00:49:29,480
Speaker 1: a tree. He thinks the only respectable way to do

984
00:49:29,520 --> 00:49:31,880
Speaker 1: it is you got to climb up into that tree.

985
00:49:32,440 --> 00:49:34,920
Speaker 1: And Cloward talks about how they their dogs tree a

986
00:49:35,000 --> 00:49:38,359
Speaker 1: raccoon in the quote biggest sweet gum tree of all

987
00:49:38,400 --> 00:49:43,880
Speaker 1: of Amax County, and this dude, John new Banks. They're like,

988
00:49:43,920 --> 00:49:45,879
Speaker 1: I bet you can't climb up that tree, John, because

989
00:49:45,880 --> 00:49:47,480
Speaker 1: he'll climb them up and knock them out with a

990
00:49:47,520 --> 00:49:49,839
Speaker 1: stick and then let the dogs fight him. So he says,

991
00:49:49,840 --> 00:49:53,880
Speaker 1: you got to give a coon a sporting chance. So

992
00:49:54,640 --> 00:49:57,560
Speaker 1: he Cloward talks about how he takes off his brokenne

993
00:49:57,600 --> 00:49:59,920
Speaker 1: shoes and digs his toenails into the bark of that

994
00:50:00,080 --> 00:50:04,040
Speaker 1: sweet gum tree and is able to climb into the

995
00:50:04,040 --> 00:50:06,319
Speaker 1: sweet gum tree and then all hell breaks Lewis and

996
00:50:06,360 --> 00:50:08,799
Speaker 1: Clower says that it was a lynx up in that

997
00:50:08,920 --> 00:50:11,120
Speaker 1: tree in Mississippi.

998
00:50:12,480 --> 00:50:16,200
Speaker 3: Okay, I'm gonna say no, But here's the name.

999
00:50:16,160 --> 00:50:19,320
Speaker 1: That always bothered me because everything with Klour is so precise.

1000
00:50:19,920 --> 00:50:21,359
Speaker 1: I think he meant to say a mountain lion.

1001
00:50:21,719 --> 00:50:24,920
Speaker 4: You know what. I bet you wasn't because in Durkin's

1002
00:50:25,040 --> 00:50:28,400
Speaker 4: article he lists a bunch of common names, like semi

1003
00:50:28,440 --> 00:50:30,800
Speaker 4: common names for bobcats, and there was a couple of

1004
00:50:30,840 --> 00:50:32,200
Speaker 4: different versions of Lincoln.

1005
00:50:32,440 --> 00:50:37,200
Speaker 1: But Clower says this, but it wasn't no coon. This

1006
00:50:37,280 --> 00:50:41,080
Speaker 1: is a quote, but it wasn't no coon. It was

1007
00:50:41,120 --> 00:50:44,719
Speaker 1: a lynx, a souped up wildcat.

1008
00:50:45,040 --> 00:50:48,760
Speaker 4: I'm just telling you. They had like some Southern Yeah,

1009
00:50:48,840 --> 00:50:53,160
Speaker 4: it was like vernacular kind of names for that's God.

1010
00:50:53,840 --> 00:50:55,560
Speaker 1: This was all my faith back into Clower.

1011
00:50:55,800 --> 00:50:59,200
Speaker 3: Yeah, you can have that back, because that's one of

1012
00:50:59,239 --> 00:51:02,160
Speaker 3: the difficult things about figuring out the historic range of

1013
00:51:02,239 --> 00:51:06,160
Speaker 3: Links in the lower forty eight We're relying on trapping records,

1014
00:51:06,400 --> 00:51:09,840
Speaker 3: and people were not consistent with calling bobcats bobcats and

1015
00:51:09,880 --> 00:51:15,200
Speaker 3: links links. There'd be Linx cat and you know, yeah.

1016
00:51:14,440 --> 00:51:17,759
Speaker 1: You'll sometimes look at Mark Ferbear market reports and I'll

1017
00:51:17,760 --> 00:51:21,240
Speaker 1: see links cat. Yeah, that means a bobcat or lynx.

1018
00:51:21,719 --> 00:51:24,000
Speaker 3: I'm not sure. People, it's this common name thing, right,

1019
00:51:24,000 --> 00:51:25,319
Speaker 3: people can call them whatever they want.

1020
00:51:25,440 --> 00:51:29,840
Speaker 2: Kind of what's the most southern links that's like confirmed

1021
00:51:29,840 --> 00:51:30,440
Speaker 2: that you're aware of.

1022
00:51:31,560 --> 00:51:36,719
Speaker 3: Now, Yeah, Colorado maybe down into Utah every once in

1023
00:51:36,760 --> 00:51:40,360
Speaker 3: a while, but like as a resident population Colorado.

1024
00:51:40,000 --> 00:51:43,680
Speaker 1: Let's say European contact. Huh, let's say a good stab

1025
00:51:43,880 --> 00:51:47,960
Speaker 1: where Oh yeah, like give me a good stab. Okay, Yeah,

1026
00:51:47,960 --> 00:51:53,080
Speaker 1: so the distribution is it isn't changed.

1027
00:51:52,880 --> 00:51:56,640
Speaker 3: Remarkably, right, Yeah, we don't think the distribution has changed much.

1028
00:51:56,719 --> 00:52:00,280
Speaker 3: It's just how many animals are in those spots.

1029
00:52:00,080 --> 00:52:02,920
Speaker 1: Density has changed. Yeah, got it. So they'll follow the

1030
00:52:03,000 --> 00:52:06,600
Speaker 1: rock he's down into Colorado, maybe Utah. By the time

1031
00:52:06,600 --> 00:52:09,920
Speaker 1: you get into how far into Canada are they across

1032
00:52:09,920 --> 00:52:11,000
Speaker 1: the whole top of Canada.

1033
00:52:11,360 --> 00:52:15,120
Speaker 3: Not much further north than the border. Oh, across all

1034
00:52:15,120 --> 00:52:15,680
Speaker 3: of Canada.

1035
00:52:15,760 --> 00:52:16,960
Speaker 1: Yeah, you gotta get way up or.

1036
00:52:17,000 --> 00:52:19,200
Speaker 3: I no, you don't have to get well wherever there's

1037
00:52:19,239 --> 00:52:21,840
Speaker 3: boreal forest, that's what they are. So you know in

1038
00:52:22,360 --> 00:52:26,600
Speaker 3: places like Alberta, where there's there's more prairie and stuff

1039
00:52:26,640 --> 00:52:27,920
Speaker 3: like that, they're not going to be down in that.

1040
00:52:28,000 --> 00:52:32,200
Speaker 3: But they get pretty ubiquitous in the boreal forest.

1041
00:52:32,320 --> 00:52:32,520
Speaker 4: Yep.

1042
00:52:32,960 --> 00:52:35,640
Speaker 1: I've read that the boreal forest is the largest biome

1043
00:52:35,680 --> 00:52:36,200
Speaker 1: on Earth.

1044
00:52:37,400 --> 00:52:39,680
Speaker 3: Yep. It's a cool space.

1045
00:52:39,840 --> 00:52:43,640
Speaker 1: Yeah. Uh, lay out the work you work layout where

1046
00:52:43,680 --> 00:52:46,120
Speaker 1: in what work you're doing right now currently?

1047
00:52:46,560 --> 00:52:51,759
Speaker 3: Okay, with just a LYNX project. Okay, So let's see,

1048
00:52:51,760 --> 00:52:55,320
Speaker 3: we're starting on year two of of our field effort,

1049
00:52:56,040 --> 00:53:02,120
Speaker 3: uh for our LINX and wildfire project. So in in

1050
00:53:02,160 --> 00:53:04,840
Speaker 3: the lower forty eight we were just talking about their distribution.

1051
00:53:06,480 --> 00:53:13,040
Speaker 3: There's five resident populations of Links. There's Washington, there's Idaho, Montana,

1052
00:53:13,520 --> 00:53:16,560
Speaker 3: there's Minnesota and Maine, and then Colorado.

1053
00:53:17,200 --> 00:53:22,439
Speaker 1: Minnesota has lynks. Yeah you know that Brony I did

1054
00:53:22,440 --> 00:53:23,480
Speaker 1: not You got that wrong.

1055
00:53:23,880 --> 00:53:26,960
Speaker 8: Yeah, are to have the NBA team, isn't it the

1056
00:53:27,000 --> 00:53:27,680
Speaker 8: Minnesota Lynx?

1057
00:53:27,800 --> 00:53:29,040
Speaker 1: Yeah? But the Michigan Wolverines.

1058
00:53:29,080 --> 00:53:31,440
Speaker 4: Dude, but it makes I mean you think about that

1059
00:53:31,560 --> 00:53:34,759
Speaker 4: North Country stead They got fishers and Martin not a

1060
00:53:34,840 --> 00:53:37,120
Speaker 4: spruce forest, and they got links there.

1061
00:53:39,320 --> 00:53:39,960
Speaker 3: Yeah.

1062
00:53:39,760 --> 00:53:44,759
Speaker 2: So in Minnesota, don't lie, no, doctor, Ana. I didn't

1063
00:53:44,760 --> 00:53:45,960
Speaker 2: even know Maine had them.

1064
00:53:46,360 --> 00:53:48,759
Speaker 3: Yeah, good population.

1065
00:53:49,880 --> 00:53:51,920
Speaker 1: Maine had Caribo until the nineteen twenties.

1066
00:53:52,560 --> 00:53:57,160
Speaker 2: There's a I think the furthest North City or town

1067
00:53:57,360 --> 00:54:00,759
Speaker 2: Town in Maine is called Caribou. It could be wrong.

1068
00:54:01,200 --> 00:54:05,759
Speaker 1: Mm hm, anyway, I don't know that good job.

1069
00:54:05,960 --> 00:54:09,000
Speaker 4: I want to hear some common Bobcat names.

1070
00:54:08,560 --> 00:54:10,080
Speaker 1: Bobcat or Lynx names.

1071
00:54:09,960 --> 00:54:15,080
Speaker 4: Bobcat well like vernacular names Lynx Rufus.

1072
00:54:15,960 --> 00:54:18,200
Speaker 1: Well Link Rufus, scientific.

1073
00:54:17,800 --> 00:54:21,719
Speaker 4: Include bay Linx Bard, Bobcat, Catamount, Cat of the Mount,

1074
00:54:21,880 --> 00:54:28,200
Speaker 4: Lynx Cat, Pallid, Bobcat, red Linx Wildcat, and shot Savage.

1075
00:54:28,600 --> 00:54:30,160
Speaker 1: When they get into those lists, I feel like they're

1076
00:54:30,160 --> 00:54:32,320
Speaker 1: starting to throw in stuff that some dude said once.

1077
00:54:32,480 --> 00:54:36,319
Speaker 4: Yeah, I don't know. I'm just saying Klower was.

1078
00:54:37,120 --> 00:54:39,960
Speaker 1: Yeah, I'm back to love and clour. Anyone interested in

1079
00:54:40,040 --> 00:54:42,400
Speaker 1: Jerry Klower? Besides listening to Jerry Klower, you could go

1080
00:54:42,440 --> 00:54:47,640
Speaker 1: listen to the Bear Grease episodes about Jerry Klower. He's

1081
00:54:47,680 --> 00:54:49,719
Speaker 1: one of my favorite people. My kids like Jerryklower. You

1082
00:54:49,719 --> 00:54:52,880
Speaker 1: never heard Jerry Klower? Go type up? Will you promise

1083
00:54:52,960 --> 00:54:56,520
Speaker 1: me something? Type up? Jerry Klower A coon hunting story

1084
00:54:57,800 --> 00:54:59,360
Speaker 1: that's the one that has the Lynx cat in it.

1085
00:54:59,400 --> 00:55:02,120
Speaker 1: All right, Brooklyn track and all this. Yeah, how would

1086
00:55:02,120 --> 00:55:04,400
Speaker 1: you get how would you if you had one on

1087
00:55:04,400 --> 00:55:06,560
Speaker 1: one to ten? How interesting? This is? What would you give.

1088
00:55:06,400 --> 00:55:07,640
Speaker 5: It like six?

1089
00:55:11,239 --> 00:55:11,520
Speaker 2: All right?

1090
00:55:12,560 --> 00:55:15,960
Speaker 1: That's that's a reliable That's what you need around man,

1091
00:55:16,080 --> 00:55:18,640
Speaker 1: someone that gets it to you straight. Yeah, because you

1092
00:55:18,640 --> 00:55:20,879
Speaker 1: can see her being yeah, you can see her being

1093
00:55:20,880 --> 00:55:22,719
Speaker 1: like oh yeah nine and being in your head like

1094
00:55:22,760 --> 00:55:26,560
Speaker 1: yeah right, she might have been like three, but I

1095
00:55:26,600 --> 00:55:30,759
Speaker 1: can't say that. No, it's encouraging. There's room for improvement,

1096
00:55:30,880 --> 00:55:35,400
Speaker 1: but we're not as bad as it could be. Yeah right, Okay,

1097
00:55:35,400 --> 00:55:37,160
Speaker 1: I didn't know that. I mean it's like, like, do

1098
00:55:37,160 --> 00:55:39,080
Speaker 1: you have rough ideas? Oh, you were doing the five

1099
00:55:39,160 --> 00:55:42,080
Speaker 1: so Washington? Yeah, now why is it not Washington? Oregon?

1100
00:55:42,200 --> 00:55:43,760
Speaker 1: Organs too far too far south?

1101
00:55:44,200 --> 00:55:48,880
Speaker 3: So in Washington, our our links range is is interesting

1102
00:55:48,920 --> 00:55:52,920
Speaker 3: because we've got the North Cascades. Yeah, and they quickly

1103
00:55:53,239 --> 00:55:57,960
Speaker 3: start to transition into more southerly forest types. Links rely

1104
00:55:58,320 --> 00:56:03,120
Speaker 3: on snowshe hears, there's predator. Eighty five to ninety percent

1105
00:56:03,160 --> 00:56:05,560
Speaker 3: of their diet is snowshoe hairs. That's what they're built for.

1106
00:56:06,000 --> 00:56:10,040
Speaker 3: That's that's what makes them different from from bobcats. And

1107
00:56:10,080 --> 00:56:10,799
Speaker 3: big part is there.

1108
00:56:10,960 --> 00:56:14,960
Speaker 1: You sent me the coolest photo of brand new snowshoe

1109
00:56:15,000 --> 00:56:18,160
Speaker 1: hair tracks. Oh yeah, both of them run.

1110
00:56:19,800 --> 00:56:22,640
Speaker 3: Yeah, that is that is their thing is there. They

1111
00:56:22,840 --> 00:56:26,880
Speaker 3: rely on snowshoe hairs, and they've snowshoe hairs. Obviously because

1112
00:56:26,880 --> 00:56:29,000
Speaker 3: of their name. Uh, we all know that they've got

1113
00:56:29,000 --> 00:56:32,080
Speaker 3: those big feet and that makes them able to get

1114
00:56:32,080 --> 00:56:37,000
Speaker 3: around in these deep snow environments. Links same thing. It's

1115
00:56:37,040 --> 00:56:40,840
Speaker 3: like the armswar thing. They've they've evolved with big giant

1116
00:56:41,239 --> 00:56:46,319
Speaker 3: muppet feet and they're they're really light framed and they

1117
00:56:46,320 --> 00:56:48,479
Speaker 3: can just walk on the snow same way, so they

1118
00:56:48,600 --> 00:56:51,680
Speaker 3: they're like built to pursue snowshoe hairs and live in

1119
00:56:51,719 --> 00:56:56,040
Speaker 3: these deep snow environments boreal sub boreal forests. So in

1120
00:56:56,840 --> 00:57:02,680
Speaker 3: Washington it's we're in this place where this boreal forest

1121
00:57:02,719 --> 00:57:06,359
Speaker 3: is starting to transition into more southerly forests and they

1122
00:57:06,520 --> 00:57:10,400
Speaker 3: they so we're right on the range edge of Lynx

1123
00:57:10,480 --> 00:57:15,160
Speaker 3: because they're habitat's about to just peter out. So we've

1124
00:57:15,160 --> 00:57:18,880
Speaker 3: got a naturally small population because of that, because their

1125
00:57:18,920 --> 00:57:26,720
Speaker 3: habitats just sort of marginal. Now we're getting megafires, which

1126
00:57:26,720 --> 00:57:30,880
Speaker 3: are fires that are over one hundred thousand acres. Warmer, drier,

1127
00:57:30,920 --> 00:57:35,720
Speaker 3: windier summers, we're snowpack in the winter. We're just having

1128
00:57:35,880 --> 00:57:44,680
Speaker 3: more frequent, bigger, hotter, high severity fires, and that is

1129
00:57:44,720 --> 00:57:49,480
Speaker 3: not good for links because snowshoe hares rely on a

1130
00:57:49,560 --> 00:57:52,440
Speaker 3: forest that's got a bunch of branches down low, a

1131
00:57:52,440 --> 00:57:55,280
Speaker 3: lot of horizontal cover, so like stuff that you wouldn't

1132
00:57:55,280 --> 00:57:58,760
Speaker 3: maybe want to bushwhack through. That's what snowshoe hares love

1133
00:57:59,080 --> 00:58:01,800
Speaker 3: because they eat those bras branches, and everybody wants to

1134
00:58:01,800 --> 00:58:05,920
Speaker 3: eat a snowshoe hair, So those branches and that understory

1135
00:58:06,480 --> 00:58:11,240
Speaker 3: gives them some protection from predators. So, because snowshoe hairs

1136
00:58:11,320 --> 00:58:14,720
Speaker 3: need that kind of forest, that's where links are. When

1137
00:58:14,960 --> 00:58:17,880
Speaker 3: a huge, high severity fire, and high severity means like

1138
00:58:17,960 --> 00:58:20,280
Speaker 3: it's killing almost all of the trees in that patch.

1139
00:58:20,520 --> 00:58:23,960
Speaker 3: When a big fire comes through like that, there's pretty

1140
00:58:24,040 --> 00:58:28,600
Speaker 3: much no trees left. Its match sticks. And so there

1141
00:58:28,600 --> 00:58:32,080
Speaker 3: goes the snowshoe hairs, there goes the lynx. And so

1142
00:58:32,760 --> 00:58:35,080
Speaker 3: Washington is in this unique place where we are just

1143
00:58:35,120 --> 00:58:40,800
Speaker 3: getting hammered by these fires, partially because of our changing climate,

1144
00:58:40,960 --> 00:58:42,960
Speaker 3: but also because we just have kind of a unique

1145
00:58:43,040 --> 00:58:45,760
Speaker 3: and I don't know why this is, but we get

1146
00:58:45,800 --> 00:58:49,800
Speaker 3: a ton of lightning strikes and so from starting in

1147
00:58:49,800 --> 00:58:53,320
Speaker 3: the year two thousand, we just started getting hit boom

1148
00:58:53,320 --> 00:58:57,040
Speaker 3: boom boom by these giant fires to the point where

1149
00:58:57,040 --> 00:58:59,520
Speaker 3: now you look at a map of Lynks habitat and

1150
00:58:59,640 --> 00:59:04,040
Speaker 3: it looks like it's mostly burned recently. And so this

1151
00:59:04,680 --> 00:59:06,960
Speaker 3: has put a big herd on our links population.

1152
00:59:08,160 --> 00:59:08,760
Speaker 5: Oh?

1153
00:59:08,800 --> 00:59:13,120
Speaker 1: Absolutely, How many links are in Washington there? I mean,

1154
00:59:13,520 --> 00:59:15,920
Speaker 1: no one knows, nobody in thousands?

1155
00:59:16,040 --> 00:59:22,760
Speaker 3: Oh no, no, no, no, no, no, no, around sixty maybe, yeah,

1156
00:59:22,840 --> 00:59:24,720
Speaker 3: it's bad, it's really really bad.

1157
00:59:24,880 --> 00:59:28,040
Speaker 1: Sixty in the state. And then and I know we're

1158
00:59:28,080 --> 00:59:31,400
Speaker 1: a lot of secret, but I when to revisit something Washington,

1159
00:59:31,480 --> 00:59:35,400
Speaker 1: and you said Idaho, Montana, Okay, and that that's what

1160
00:59:36,080 --> 00:59:36,880
Speaker 1: not thousands?

1161
00:59:38,040 --> 00:59:42,240
Speaker 3: Hundreds, maybe hundreds in Minnesota. I don't. I don't know

1162
00:59:42,400 --> 00:59:46,320
Speaker 3: about Minnesota. Main is hundreds as well, hundreds. But all

1163
00:59:46,360 --> 00:59:47,000
Speaker 3: you know, all.

1164
00:59:46,880 --> 00:59:49,800
Speaker 1: Of these you're the population you're toying with. Is it's

1165
00:59:49,960 --> 00:59:50,800
Speaker 1: sub one hundred?

1166
00:59:50,960 --> 00:59:52,040
Speaker 3: Yes, it's We're.

1167
00:59:51,960 --> 00:59:55,040
Speaker 1: How certain are you that it's sub one hundred?

1168
00:59:55,880 --> 00:59:56,200
Speaker 7: Mmmm?

1169
00:59:56,800 --> 00:59:58,160
Speaker 1: On a scale of one to five.

1170
01:00:01,120 --> 01:00:03,040
Speaker 3: Four and a half. But I like to be optimistic.

1171
01:00:03,400 --> 01:00:04,800
Speaker 3: Maybe we've got one hundred.

1172
01:00:05,480 --> 01:00:06,720
Speaker 1: But you don't have three hundred.

1173
01:00:06,920 --> 01:00:07,960
Speaker 3: We don't have three hundred.

1174
01:00:08,120 --> 01:00:10,560
Speaker 8: No, no, And if you go back twenty five years,

1175
01:00:10,560 --> 01:00:14,680
Speaker 8: how many are you talking about, Like, what's the.

1176
01:00:14,680 --> 01:00:18,960
Speaker 3: Reasons get really sketchy on estimates. Yeah, it's not a lot,

1177
01:00:19,080 --> 01:00:22,680
Speaker 3: it's maybe, Oh, I know, I've read this summer somewhere

1178
01:00:23,040 --> 01:00:26,520
Speaker 3: maybe maybe between one hundred and fifteen two hundred.

1179
01:00:26,720 --> 01:00:27,440
Speaker 1: Sure, So.

1180
01:00:29,200 --> 01:00:32,680
Speaker 4: When a fire happens in one of the like the

1181
01:00:32,720 --> 01:00:36,560
Speaker 4: snowshoe hair population just gets nuked, is it like an

1182
01:00:36,560 --> 01:00:40,160
Speaker 4: immediate precipitous decline for the bobcat, I mean for the

1183
01:00:40,240 --> 01:00:43,840
Speaker 4: Lynx or like are they such specialists they can't like

1184
01:00:43,920 --> 01:00:46,000
Speaker 4: adjust and be like I'm going to go after squirrels

1185
01:00:46,080 --> 01:00:48,880
Speaker 4: or I'm going to go after birds or whatever.

1186
01:00:49,240 --> 01:00:54,840
Speaker 3: Yeah, So the the I think the answer is it

1187
01:00:54,920 --> 01:00:58,360
Speaker 3: kind of depends. So when a fire burns. So for example,

1188
01:00:59,240 --> 01:01:01,600
Speaker 3: two thousand and six was our first big burn. It

1189
01:01:01,720 --> 01:01:04,160
Speaker 3: was called the Tripod Burn, and it burned most of

1190
01:01:04,200 --> 01:01:06,880
Speaker 3: what was considered the best links habitat that we had

1191
01:01:06,920 --> 01:01:12,560
Speaker 3: in Washington and that let's see, the winter following that burn,

1192
01:01:14,080 --> 01:01:17,320
Speaker 3: we started or a Lynx project started, and we got

1193
01:01:17,480 --> 01:01:20,880
Speaker 3: callers out on cats that were living right adjacent to

1194
01:01:20,920 --> 01:01:27,040
Speaker 3: that burn. And what we found was that it's just

1195
01:01:27,480 --> 01:01:30,360
Speaker 3: a habitat. It's a bunch of habitat lost and so,

1196
01:01:31,200 --> 01:01:33,200
Speaker 3: you know, we don't know exactly what happened to those

1197
01:01:33,240 --> 01:01:36,439
Speaker 3: links that we're living right there. Maybe they dispersed, which

1198
01:01:36,800 --> 01:01:40,760
Speaker 3: that's you know, that's a dangerous thing to do because

1199
01:01:40,800 --> 01:01:42,720
Speaker 3: you might not find another home range. Maybe they went

1200
01:01:42,760 --> 01:01:44,840
Speaker 3: up to Canada and found something. Who knows, but that

1201
01:01:45,120 --> 01:01:47,200
Speaker 3: becomes largely unusable habitat.

1202
01:01:47,200 --> 01:01:50,600
Speaker 1: Presume a lot burn up, right, I.

1203
01:01:50,040 --> 01:01:53,800
Speaker 3: Think less animals burn up than we think, really. I mean, yeah,

1204
01:01:54,160 --> 01:01:55,520
Speaker 3: I mean you were able to.

1205
01:01:55,440 --> 01:01:57,480
Speaker 1: But like take something like pine squirrels, there's no way

1206
01:01:57,560 --> 01:01:59,000
Speaker 1: pine squirrels are getting away from a fire.

1207
01:02:00,080 --> 01:02:02,959
Speaker 3: I think they've got some time. I have found burned

1208
01:02:03,040 --> 01:02:05,720
Speaker 3: up pine squirrel so, but I.

1209
01:02:05,720 --> 01:02:08,920
Speaker 1: Think links are just moving ahead of it instead.

1210
01:02:09,080 --> 01:02:10,520
Speaker 3: Yeah, I think so. I think they'd have to get

1211
01:02:10,640 --> 01:02:11,640
Speaker 3: cornered or trapped.

1212
01:02:12,600 --> 01:02:13,320
Speaker 1: That's interesting.

1213
01:02:13,440 --> 01:02:16,240
Speaker 3: Yeah. I did have a friend find a how he

1214
01:02:16,320 --> 01:02:19,680
Speaker 3: described it was barbecued cougar after a big fire that

1215
01:02:19,680 --> 01:02:24,040
Speaker 3: we had. It got trapped in a little canyon. But

1216
01:02:24,400 --> 01:02:26,959
Speaker 3: I don't think they're burning up. I think they're getting

1217
01:02:27,000 --> 01:02:29,880
Speaker 3: out of there. They've they've evolved with fire.

1218
01:02:30,960 --> 01:02:34,520
Speaker 4: Have you found like other things links have killed, like

1219
01:02:34,640 --> 01:02:38,680
Speaker 4: deer or do they feed on they cannibalize themselves or like,

1220
01:02:38,720 --> 01:02:40,920
Speaker 4: have you found anything that was surprising?

1221
01:02:43,240 --> 01:02:47,680
Speaker 3: Right, I haven't found anything surprising. They'll eat so Litstene.

1222
01:02:47,720 --> 01:02:51,600
Speaker 3: Let me back up. They rely on snowshoe hairs to

1223
01:02:51,640 --> 01:02:57,040
Speaker 3: the point where there's this sort of classic ecology lesson

1224
01:02:57,600 --> 01:03:00,840
Speaker 3: that in the northern part of their their range, where

1225
01:03:00,880 --> 01:03:04,520
Speaker 3: there's lots of snowshoe hairs and lots of links, there's

1226
01:03:04,600 --> 01:03:11,520
Speaker 3: a cycle where links slightly lagging behind snowshoe hairs. Population

1227
01:03:11,760 --> 01:03:17,120
Speaker 3: numbers will increase as snowshoe hairs increase, and then as

1228
01:03:17,160 --> 01:03:22,120
Speaker 3: snowshoe hairs start to decrease, links start decreasing. And so

1229
01:03:22,200 --> 01:03:25,320
Speaker 3: this it's this this cycle. It's more than just links

1230
01:03:25,400 --> 01:03:28,280
Speaker 3: driving that cycle. There's a whole suite of predators. Every

1231
01:03:28,400 --> 01:03:30,080
Speaker 3: Like I said, everybody wants to eat a snowshoe hair.

1232
01:03:30,080 --> 01:03:31,920
Speaker 3: That's just like it's a it's a.

1233
01:03:31,920 --> 01:03:34,680
Speaker 1: Great friends friends in Alaska to have told me who

1234
01:03:34,760 --> 01:03:38,200
Speaker 1: trap links have told me that it's almost immediate the

1235
01:03:38,200 --> 01:03:41,120
Speaker 1: boom buss that goes along with snow because like down

1236
01:03:41,160 --> 01:03:42,840
Speaker 1: here we don't have the snowshoe hair cycles.

1237
01:03:42,960 --> 01:03:46,040
Speaker 3: Right, they're they're either you know, just we're kind of

1238
01:03:46,080 --> 01:03:49,520
Speaker 3: at a constant low or just really dampened amplitude.

1239
01:03:49,560 --> 01:03:52,440
Speaker 1: We don't have those like the insane swings, right, have

1240
01:03:52,440 --> 01:03:54,760
Speaker 1: you ever seen that stuff where they went through Hudson

1241
01:03:54,800 --> 01:03:59,440
Speaker 1: Bay Company links records and they're able to see a

1242
01:03:59,520 --> 01:04:03,760
Speaker 1: seven your swing on how many links pelts the Hudson

1243
01:04:03,800 --> 01:04:06,120
Speaker 1: Bay Company was dealing with, like in the seventeen hundreds,

1244
01:04:06,160 --> 01:04:08,800
Speaker 1: eighteen hundreds whatever, and they're able to kind of correlate

1245
01:04:08,840 --> 01:04:13,360
Speaker 1: that to the to the calculating population yep.

1246
01:04:13,480 --> 01:04:16,120
Speaker 3: Yeah, And so that's those fur records are where sort

1247
01:04:16,400 --> 01:04:18,480
Speaker 3: you know, people started to notice, oh, this isn't like

1248
01:04:18,560 --> 01:04:25,080
Speaker 3: a steady, perfectly balanced ecology here. You know, things things fluctuate,

1249
01:04:26,680 --> 01:04:30,520
Speaker 3: and so the yeah, the cycles about every tennis years

1250
01:04:30,840 --> 01:04:34,960
Speaker 3: booms and bus and so anyway, that's just to illustrate

1251
01:04:35,120 --> 01:04:38,120
Speaker 3: how reliant on snowshoe hair's links are and.

1252
01:04:38,040 --> 01:04:40,280
Speaker 1: They're chasing them in the summer when there's no snow. Yeah,

1253
01:04:40,360 --> 01:04:41,240
Speaker 1: they still the same thing.

1254
01:04:41,360 --> 01:04:47,160
Speaker 3: Yeah, exactly. When there's a low, they will rely more

1255
01:04:47,320 --> 01:04:50,880
Speaker 3: on red squirrels. And so there is some of that,

1256
01:04:50,920 --> 01:04:54,480
Speaker 3: but it's it's it's rarely a significant part of their area.

1257
01:04:54,520 --> 01:04:58,280
Speaker 4: I've seen that. It was a fairly viral video of

1258
01:04:58,480 --> 01:04:59,880
Speaker 4: a links killing a caribou.

1259
01:05:00,360 --> 01:05:01,000
Speaker 1: It's wild.

1260
01:05:01,280 --> 01:05:04,440
Speaker 4: Oh, it's cool. I think it might be in Europe though.

1261
01:05:04,560 --> 01:05:08,040
Speaker 1: There's a there's a record of one killing a there's

1262
01:05:08,040 --> 01:05:11,000
Speaker 1: a record of a lynx killing a doll sheet. Oh really, yeah,

1263
01:05:11,040 --> 01:05:12,000
Speaker 1: a witness.

1264
01:05:11,760 --> 01:05:13,600
Speaker 3: In North America in Alaska.

1265
01:05:13,960 --> 01:05:15,760
Speaker 1: It was in a book by a bilegist from fair

1266
01:05:15,840 --> 01:05:18,040
Speaker 1: who's at the University of Alaska, Fairbanks for a book.

1267
01:05:18,040 --> 01:05:20,560
Speaker 1: And then there's a person watched it happen.

1268
01:05:20,800 --> 01:05:25,440
Speaker 3: Oh, that's cool. There's I've never seen it, but there

1269
01:05:25,440 --> 01:05:27,920
Speaker 3: are records of you know, a big links, which when

1270
01:05:27,960 --> 01:05:30,280
Speaker 3: I say big, I mean like thirty thirty one pounds

1271
01:05:31,040 --> 01:05:34,280
Speaker 3: taking down a deer if it's you know, mired and

1272
01:05:34,360 --> 01:05:36,400
Speaker 3: snow or something like that, held back by the snow,

1273
01:05:36,720 --> 01:05:40,360
Speaker 3: but really it's snowshoe hairs or where it's at for them.

1274
01:05:40,440 --> 01:05:45,560
Speaker 1: Yeah, everybody knows, like bears eat honey dying now and

1275
01:05:45,600 --> 01:05:49,640
Speaker 1: then besides honey, yeah no, no, no, eat your buck sheet,

1276
01:05:49,720 --> 01:05:50,800
Speaker 1: they like honey.

1277
01:05:51,000 --> 01:06:01,480
Speaker 9: Yeah. Yeah.

1278
01:06:01,760 --> 01:06:08,200
Speaker 3: So back to the fires. Links are listed as threatened

1279
01:06:08,360 --> 01:06:11,760
Speaker 3: all across the lower forty eight. In Washington, they're listed

1280
01:06:11,760 --> 01:06:13,840
Speaker 3: by the state is endangered, and that's in large part

1281
01:06:13,840 --> 01:06:17,040
Speaker 3: because of this blow up of fires that we've had,

1282
01:06:17,480 --> 01:06:21,520
Speaker 3: and so what we're trying to do because it's really

1283
01:06:21,720 --> 01:06:25,640
Speaker 3: it's a whole paradigm shift of what we think we

1284
01:06:25,720 --> 01:06:29,880
Speaker 3: know about their habitat. Here in Washington, all the or

1285
01:06:30,000 --> 01:06:32,680
Speaker 3: many of the habitat studies that were done earlier on

1286
01:06:33,400 --> 01:06:38,360
Speaker 3: were on a landscape that was largely unaffected by wildfires

1287
01:06:38,400 --> 01:06:41,240
Speaker 3: because it was the suppression era when the Forest Service

1288
01:06:41,320 --> 01:06:43,960
Speaker 3: was doing a really good job of putting out starts.

1289
01:06:44,560 --> 01:06:47,480
Speaker 3: Now we're to the point where climate conditions are such

1290
01:06:47,600 --> 01:06:51,120
Speaker 3: and our fuels out there are so loaded and contiguous

1291
01:06:51,520 --> 01:06:55,400
Speaker 3: because we were excluding those small fires that would naturally

1292
01:06:55,440 --> 01:06:58,440
Speaker 3: happen and so to break up the fuel bed now

1293
01:06:58,480 --> 01:07:02,640
Speaker 3: they just blow up. Are often beyond our firefighting capabilities.

1294
01:07:02,680 --> 01:07:06,840
Speaker 3: So we can't we can't rely on suppression, and nor

1295
01:07:07,080 --> 01:07:09,040
Speaker 3: should we if we want to try to get our

1296
01:07:09,120 --> 01:07:11,800
Speaker 3: landscape back to a place where it's it can have

1297
01:07:12,160 --> 01:07:15,760
Speaker 3: somewhat of its own negative feedback loop with fire, where

1298
01:07:16,080 --> 01:07:23,760
Speaker 3: little fires are sort of dampening the effects of future fires. So, anyway,

1299
01:07:23,920 --> 01:07:27,280
Speaker 3: what we know about habitat was largely based on that

1300
01:07:27,280 --> 01:07:31,440
Speaker 3: that really fire unaffected landscape. Now we've we've flip flopped.

1301
01:07:31,560 --> 01:07:34,160
Speaker 3: Now most of our landscape is affected by fires, and

1302
01:07:34,200 --> 01:07:36,800
Speaker 3: not just fires, but really big fires that burned with

1303
01:07:36,880 --> 01:07:39,720
Speaker 3: a high severity, so killing a lot of the trees.

1304
01:07:40,120 --> 01:07:42,680
Speaker 3: And so we need to get in there and figure

1305
01:07:42,680 --> 01:07:47,680
Speaker 3: out how links are using this new novel landscape. They've

1306
01:07:47,720 --> 01:07:52,720
Speaker 3: got a whole new menu, the regrowth, the different Let's

1307
01:07:52,720 --> 01:07:55,120
Speaker 3: see when we talk about boreal forests. Yeah, there's forest,

1308
01:07:55,400 --> 01:07:56,680
Speaker 3: but if you really think about.

1309
01:07:56,480 --> 01:08:00,640
Speaker 1: That, can you describe bore So it's.

1310
01:08:01,080 --> 01:08:04,440
Speaker 3: More ubiquitous up in Canada and Alaska. It's that that

1311
01:08:04,760 --> 01:08:11,240
Speaker 3: spruce and fir lodge pole pine forest that's you know,

1312
01:08:11,360 --> 01:08:14,400
Speaker 3: in mountains. It's sort of that that sub alpine right

1313
01:08:14,400 --> 01:08:19,479
Speaker 3: before you get at a tree line. Yeah, it's it's

1314
01:08:19,520 --> 01:08:22,280
Speaker 3: that ecosystem that spruce f like you'd see up in

1315
01:08:22,320 --> 01:08:24,840
Speaker 3: Alaska or Canada.

1316
01:08:24,960 --> 01:08:28,360
Speaker 1: Here and there you'll see aspens, which doesn't rule out sure, yeah,

1317
01:08:28,400 --> 01:08:30,120
Speaker 1: it doesn't rule out it being boreal forests.

1318
01:08:30,240 --> 01:08:36,599
Speaker 3: Right right right? Where was I going with that? Oh,

1319
01:08:36,760 --> 01:08:39,120
Speaker 3: boreal forest we think about, Okay, a forest, we can

1320
01:08:39,200 --> 01:08:42,559
Speaker 3: picture a forest, but with we can think a little

1321
01:08:42,560 --> 01:08:45,960
Speaker 3: more thoughtfully about that and realize that there's all different

1322
01:08:46,560 --> 01:08:48,680
Speaker 3: structure types within that. So what I mean by that

1323
01:08:48,920 --> 01:08:53,280
Speaker 3: is there's little short regenerating forests, there's you know, older

1324
01:08:53,320 --> 01:08:57,680
Speaker 3: growth forests, there's forty year old forests. That's you know

1325
01:08:57,760 --> 01:09:00,400
Speaker 3: sometimes when you come across a patch of lodgepole pine

1326
01:09:00,720 --> 01:09:03,160
Speaker 3: and it's it's maybe you know, the the trunks of

1327
01:09:03,200 --> 01:09:06,320
Speaker 3: the size of dinner plates, and it's just the canopy

1328
01:09:06,360 --> 01:09:08,519
Speaker 3: is so thick that the understory is totally parked out

1329
01:09:08,520 --> 01:09:11,320
Speaker 3: and you could just stroll through there, no problem. So

1330
01:09:11,360 --> 01:09:13,840
Speaker 3: there's that type of structure. There's all these different structures,

1331
01:09:13,880 --> 01:09:16,840
Speaker 3: and again for snowshoe hares, it's about that understory. It's

1332
01:09:16,840 --> 01:09:19,599
Speaker 3: about that dense structure. And so for links, it's about

1333
01:09:19,600 --> 01:09:23,160
Speaker 3: that dense structure. And so while we've still got boreal

1334
01:09:23,479 --> 01:09:26,920
Speaker 3: forests out there, there's all different structures of it. There's

1335
01:09:26,960 --> 01:09:30,760
Speaker 3: just freshly burned, there's regenerating, there's that parked out understory,

1336
01:09:30,760 --> 01:09:33,240
Speaker 3: when there's sort of middle aged and there's old growth.

1337
01:09:33,479 --> 01:09:36,360
Speaker 3: There's different shapes and sizes of those patches of forest

1338
01:09:36,439 --> 01:09:38,439
Speaker 3: after a burn that are left. And so we need

1339
01:09:38,479 --> 01:09:42,920
Speaker 3: to figure out what are those structures and shapes that

1340
01:09:43,040 --> 01:09:46,240
Speaker 3: Links are using, because that's what we need to be

1341
01:09:46,640 --> 01:09:50,040
Speaker 3: focusing on now, because that's what we've got and these

1342
01:09:50,040 --> 01:09:56,280
Speaker 3: mega fires are not stopping, and so that we just

1343
01:09:56,320 --> 01:09:59,160
Speaker 3: need to learn the basics of this new habitat that

1344
01:09:59,160 --> 01:10:01,120
Speaker 3: they're using. And so that's what we're trying to learn

1345
01:10:01,160 --> 01:10:05,960
Speaker 3: about and focus on, is burned habitat. So we were

1346
01:10:06,000 --> 01:10:09,519
Speaker 3: working in that burn. I was talking about that tripod

1347
01:10:09,560 --> 01:10:12,400
Speaker 3: burn the burned in two thousand and six, and we're

1348
01:10:12,439 --> 01:10:16,920
Speaker 3: going in there, we're getting links, callers on links, and

1349
01:10:16,960 --> 01:10:20,960
Speaker 3: we're backtracking, and we're using a whole bunch of cameras

1350
01:10:21,400 --> 01:10:24,879
Speaker 3: to figure out how they're making that burn work. Because

1351
01:10:26,000 --> 01:10:29,080
Speaker 3: they are making it work. This is something that's really

1352
01:10:29,120 --> 01:10:32,800
Speaker 3: hopeful and cool that's happened in the last seven years

1353
01:10:32,880 --> 01:10:35,960
Speaker 3: is it's gone from we'd go out there looking for

1354
01:10:36,040 --> 01:10:39,280
Speaker 3: links tracks and see nothing, not even very many snowshoe

1355
01:10:39,280 --> 01:10:41,160
Speaker 3: hair tracks, to all of sudden are starting to see

1356
01:10:41,200 --> 01:10:45,400
Speaker 3: links tracks and seven years, yeah, not very much time

1357
01:10:46,400 --> 01:10:47,840
Speaker 3: to now one of those.

1358
01:10:48,080 --> 01:10:50,120
Speaker 1: So in your time out there, you've seen a difference.

1359
01:10:50,240 --> 01:10:55,200
Speaker 3: Oh yeah, big time. Yeah, yeah, Okay. One of the

1360
01:10:55,240 --> 01:10:58,360
Speaker 3: cool things we're seeing now is right after the burn,

1361
01:10:58,400 --> 01:11:00,840
Speaker 3: when we had those GPS callers on cats back in

1362
01:11:00,880 --> 01:11:06,120
Speaker 3: two thousand and six, seven eight, there were cats that

1363
01:11:06,160 --> 01:11:09,280
Speaker 3: were living right next to the burn, and if there

1364
01:11:09,280 --> 01:11:12,759
Speaker 3: were nice places in that burn that had skipped fire skips,

1365
01:11:12,760 --> 01:11:15,040
Speaker 3: so places where the burn went around for whatever reason,

1366
01:11:15,640 --> 01:11:17,680
Speaker 3: they'd junt in there and use those for hunting. And

1367
01:11:17,720 --> 01:11:21,680
Speaker 3: so we learned from that study that if there is

1368
01:11:21,720 --> 01:11:24,679
Speaker 3: some structure, there will be snowshoe hairs, and the links

1369
01:11:24,680 --> 01:11:25,639
Speaker 3: will make the most of them.

1370
01:11:25,680 --> 01:11:26,719
Speaker 1: They'll find those spots.

1371
01:11:26,800 --> 01:11:29,400
Speaker 3: They'll find those spots. But those spots in the immediate

1372
01:11:29,439 --> 01:11:33,400
Speaker 3: aftermath of a fire where were places like fire skips,

1373
01:11:33,880 --> 01:11:39,120
Speaker 3: and they'd they'd preferentially use lighter area burns, you know,

1374
01:11:39,120 --> 01:11:41,320
Speaker 3: where there was still some live tree, just a little

1375
01:11:41,320 --> 01:11:43,240
Speaker 3: bit of cover to get to those spots. I mean

1376
01:11:43,280 --> 01:11:43,880
Speaker 3: you've probably tried.

1377
01:11:44,000 --> 01:11:45,080
Speaker 1: You like to have overhead cover.

1378
01:11:45,280 --> 01:11:48,519
Speaker 3: They like to have something. If you've ever followed any

1379
01:11:48,600 --> 01:11:53,080
Speaker 3: kind of cat tracks, they are so meticulous about hugging cover.

1380
01:11:53,160 --> 01:11:55,439
Speaker 3: They'd really rather not be out in the open. I

1381
01:11:55,479 --> 01:11:58,599
Speaker 3: think that's I mean, I don't know what a cat's thinking.

1382
01:11:58,640 --> 01:12:01,200
Speaker 3: I'm not a lynx, but I think that's probably a

1383
01:12:01,200 --> 01:12:03,960
Speaker 3: mixture of just protection, but also if there's in a

1384
01:12:04,000 --> 01:12:06,479
Speaker 3: little bit of cover, there's a little chance there's some food,

1385
01:12:06,560 --> 01:12:08,800
Speaker 3: and they're just they're always looking for food, and so

1386
01:12:08,840 --> 01:12:12,920
Speaker 3: you'll see them do things like preferentially, you know, walk

1387
01:12:13,000 --> 01:12:17,280
Speaker 3: between two trees rather than just you know, going alongside them.

1388
01:12:17,280 --> 01:12:19,840
Speaker 3: They're just they're cool like that that they're really using

1389
01:12:19,880 --> 01:12:20,320
Speaker 3: that cover.

1390
01:12:20,920 --> 01:12:23,160
Speaker 1: How big is their home range?

1391
01:12:23,400 --> 01:12:24,960
Speaker 3: That really varies.

1392
01:12:25,080 --> 01:12:27,559
Speaker 1: Probably like how much food is around exactly.

1393
01:12:27,720 --> 01:12:33,679
Speaker 3: So in Washington from our previous collaring, we had home

1394
01:12:33,760 --> 01:12:37,120
Speaker 3: ranges that were as small as like seven square miles

1395
01:12:37,200 --> 01:12:39,640
Speaker 3: all the way up to you know, ninety or one

1396
01:12:39,680 --> 01:12:40,400
Speaker 3: hundred square miles.

1397
01:12:40,400 --> 01:12:43,040
Speaker 1: They can be bigger. I mean that that a male

1398
01:12:43,120 --> 01:12:46,240
Speaker 1: female thing. Largely the personalities.

1399
01:12:45,800 --> 01:12:48,960
Speaker 3: Males tend to be have larger because I want to

1400
01:12:49,120 --> 01:12:53,759
Speaker 3: overlap several females. But it's also what how much space,

1401
01:12:53,800 --> 01:12:55,880
Speaker 3: how much habitat do I need to make a living?

1402
01:12:56,400 --> 01:12:59,280
Speaker 3: So the you know, the theory is if the habitat

1403
01:12:59,320 --> 01:13:01,479
Speaker 3: is less PRODUCTI if you're gonna need more of it,

1404
01:13:01,479 --> 01:13:02,799
Speaker 3: you're gonna have to cover more ground.

1405
01:13:03,640 --> 01:13:07,479
Speaker 1: So one snowshoe hair paradise, he doesn't need to.

1406
01:13:07,479 --> 01:13:10,400
Speaker 3: Go right, It could be a really small home range.

1407
01:13:10,840 --> 01:13:13,640
Speaker 1: Did you see that study years ago, maybe five or

1408
01:13:13,720 --> 01:13:16,800
Speaker 1: six years ago, I don't know if you call it

1409
01:13:16,800 --> 01:13:19,240
Speaker 1: a study, but this observation from some years ago where

1410
01:13:19,240 --> 01:13:22,320
Speaker 1: there's guys looking at They used to these researchers used

1411
01:13:22,320 --> 01:13:27,360
Speaker 1: to wonder about rivers and how links related to rivers,

1412
01:13:28,160 --> 01:13:31,320
Speaker 1: thinking that big rivers like the Tannana right in Alaska,

1413
01:13:31,360 --> 01:13:33,759
Speaker 1: that the tan and aw would be an obvious barrier

1414
01:13:34,000 --> 01:13:36,639
Speaker 1: for links. But they'll swim back and forth across that thing.

1415
01:13:37,520 --> 01:13:39,679
Speaker 1: There's not much that they had come up in those areas, dudes.

1416
01:13:39,680 --> 01:13:41,320
Speaker 1: And it's just so it's be so weird to think

1417
01:13:41,360 --> 01:13:42,800
Speaker 1: you'd be coming down the river and having a link

1418
01:13:42,840 --> 01:13:46,280
Speaker 1: swim across something like the they would they would just go.

1419
01:13:46,680 --> 01:13:51,280
Speaker 3: Yeah, they those things scooped. They will go long distances,

1420
01:13:51,320 --> 01:13:53,519
Speaker 3: they'll disperse long distances.

1421
01:13:53,160 --> 01:13:54,320
Speaker 1: And no one ever sees them.

1422
01:13:54,560 --> 01:13:56,240
Speaker 3: Well now I'm about callers on those.

1423
01:13:56,280 --> 01:13:58,000
Speaker 1: No I'm saying, but it's like when you see that,

1424
01:13:58,200 --> 01:14:00,360
Speaker 1: like how could you never see? What I mean? I

1425
01:14:00,439 --> 01:14:02,240
Speaker 1: think of them always tolled up with some little thicket

1426
01:14:02,240 --> 01:14:03,559
Speaker 1: because you just go your whole life and don't lay

1427
01:14:03,560 --> 01:14:04,120
Speaker 1: eyes on sure.

1428
01:14:04,200 --> 01:14:08,200
Speaker 3: Sure, yeah, I mean they when they in my experience,

1429
01:14:08,640 --> 01:14:11,160
Speaker 3: unless you, you know, sort of come up right on

1430
01:14:11,240 --> 01:14:14,120
Speaker 3: them and you jump them, they'll just stand there and

1431
01:14:14,320 --> 01:14:16,200
Speaker 3: kind of look at you and hunker down. And it's

1432
01:14:16,280 --> 01:14:17,519
Speaker 3: it's really easy to miss.

1433
01:14:17,360 --> 01:14:21,080
Speaker 1: Them, so you you've approached them wearing the collar. When

1434
01:14:21,160 --> 01:14:23,080
Speaker 1: you've approached your collared cats.

1435
01:14:24,439 --> 01:14:26,200
Speaker 3: Not the ones that we have collared right now, but

1436
01:14:26,880 --> 01:14:29,000
Speaker 3: just being out there so much, have come across a

1437
01:14:29,000 --> 01:14:34,280
Speaker 3: lot of links, I mean a lot for seeing a link.

1438
01:14:34,800 --> 01:14:40,280
Speaker 1: So you okay, this is outside of ones that you've caught,

1439
01:14:40,560 --> 01:14:43,240
Speaker 1: and outside the ones that you were guided to because

1440
01:14:43,240 --> 01:14:45,120
Speaker 1: you knew where they were because they have a collar on.

1441
01:14:45,360 --> 01:14:46,439
Speaker 1: You've bumped into links?

1442
01:14:46,920 --> 01:14:47,160
Speaker 3: Yeah?

1443
01:14:47,200 --> 01:14:48,080
Speaker 1: How many times?

1444
01:14:48,600 --> 01:14:51,439
Speaker 3: I don't know a handful of times I bumped into them? Yeah,

1445
01:14:51,479 --> 01:14:54,519
Speaker 3: I bumped into collared links, not using the telemetry, not

1446
01:14:54,520 --> 01:15:00,960
Speaker 3: trying to, but bumped into them. I summer before last,

1447
01:15:01,240 --> 01:15:03,200
Speaker 3: I had a cool sighting where I was. I was

1448
01:15:03,520 --> 01:15:07,080
Speaker 3: hiking into the wilderness to scout for deer season, and

1449
01:15:07,120 --> 01:15:09,240
Speaker 3: I got to our camp and looked up and there

1450
01:15:09,320 --> 01:15:11,759
Speaker 3: was a links jumped away. Yeah. It was very cool

1451
01:15:12,040 --> 01:15:15,040
Speaker 3: and it was actually no, no, it was actually special

1452
01:15:15,080 --> 01:15:17,080
Speaker 3: too because this was in I was in a new

1453
01:15:17,120 --> 01:15:19,960
Speaker 3: Burn area, but I was in a fire skip and.

1454
01:15:20,680 --> 01:15:23,040
Speaker 1: Scouting for deer and there you saw one. Nothing to

1455
01:15:23,040 --> 01:15:29,960
Speaker 1: do with your research, no, No, yeah yet.

1456
01:15:29,920 --> 01:15:32,519
Speaker 3: Positive, I got I got the rear view and I

1457
01:15:32,560 --> 01:15:33,560
Speaker 3: saw that tale.

1458
01:15:33,680 --> 01:15:35,800
Speaker 4: Yeah, so you know what you're looking at in an

1459
01:15:35,800 --> 01:15:38,840
Speaker 4: area where they got plenty of food, Like, what's a

1460
01:15:38,840 --> 01:15:43,479
Speaker 4: good lifespan? Like if they don't have some unfortunate thing.

1461
01:15:43,880 --> 01:15:47,120
Speaker 3: Yeah, maybe seven years, seven or eight years.

1462
01:15:48,360 --> 01:15:50,440
Speaker 2: Yeah, how are you guys trapping them?

1463
01:15:50,760 --> 01:15:51,280
Speaker 1: This is good?

1464
01:15:51,880 --> 01:15:53,840
Speaker 3: Yeah, so this is this is what I like.

1465
01:15:54,000 --> 01:15:56,280
Speaker 1: Can you put in whether Mercer Longing ever told you

1466
01:15:56,320 --> 01:15:57,280
Speaker 1: anything helpful?

1467
01:15:58,720 --> 01:15:59,960
Speaker 3: We've been talking a lot.

1468
01:16:00,600 --> 01:16:02,360
Speaker 1: Yeah, he gets excited about catching cat.

1469
01:16:02,439 --> 01:16:04,400
Speaker 3: Oh yeah, no, Yeah, it's fun to talk with him

1470
01:16:04,400 --> 01:16:05,080
Speaker 3: because we both do.

1471
01:16:05,439 --> 01:16:07,280
Speaker 1: Yeah, lay it out how you catch one?

1472
01:16:07,400 --> 01:16:13,799
Speaker 3: Okay, let's see. So, like I said, there are maybe

1473
01:16:13,840 --> 01:16:19,479
Speaker 3: sixty in Washington. Our study area is I don't know,

1474
01:16:19,479 --> 01:16:24,160
Speaker 3: maybe one hundred thousand acres. So that's a lot of space.

1475
01:16:24,280 --> 01:16:26,200
Speaker 1: How many are in that study area? If you had

1476
01:16:26,200 --> 01:16:27,400
Speaker 1: to take a ballpark.

1477
01:16:27,040 --> 01:16:30,200
Speaker 3: If I had to take a ballpark, I mean last

1478
01:16:30,240 --> 01:16:31,800
Speaker 3: year this time when I was on the podcast, we

1479
01:16:31,800 --> 01:16:37,680
Speaker 3: hadn't started trapping, and I would have been hopeful that

1480
01:16:37,760 --> 01:16:38,719
Speaker 3: there were maybe four.

1481
01:16:38,640 --> 01:16:40,439
Speaker 1: Or five in one hundred thousand acres.

1482
01:16:40,760 --> 01:16:46,320
Speaker 3: Yeah. Now that we've got some links on air and

1483
01:16:47,640 --> 01:16:50,679
Speaker 3: spent you know, I've spent three months tracking them out

1484
01:16:50,720 --> 01:17:00,000
Speaker 3: in that landscape. We know our collared links are content

1485
01:17:00,040 --> 01:17:02,280
Speaker 3: tray to what we thought might be happening, making their

1486
01:17:02,439 --> 01:17:06,120
Speaker 3: entire home range, their entire living within the burn. Which

1487
01:17:06,160 --> 01:17:10,240
Speaker 3: that's really cool because that says to us, there's something

1488
01:17:10,280 --> 01:17:14,120
Speaker 3: about the configuration of this burn where there are fire

1489
01:17:14,160 --> 01:17:16,839
Speaker 3: skips where there aren't, or maybe it's that there's places

1490
01:17:16,840 --> 01:17:19,120
Speaker 3: that are regenerating enough that that's actually, at this point,

1491
01:17:19,200 --> 01:17:21,920
Speaker 3: really rich habitat. Whatever it is, which is what we're

1492
01:17:21,920 --> 01:17:24,400
Speaker 3: going to find out, is making it so that links

1493
01:17:24,400 --> 01:17:26,360
Speaker 3: are living entirely within the burn.

1494
01:17:26,200 --> 01:17:28,679
Speaker 1: God instead of just ducking in there now and then exactly,

1495
01:17:28,840 --> 01:17:32,080
Speaker 1: So one hundred thousand acres. Yeah, and you're going to

1496
01:17:32,160 --> 01:17:34,000
Speaker 1: take a You're going to take a like, do you

1497
01:17:34,040 --> 01:17:36,480
Speaker 1: can do this too? You can be I'd be surprised

1498
01:17:36,479 --> 01:17:37,639
Speaker 1: if it was more than what.

1499
01:17:37,880 --> 01:17:41,520
Speaker 3: Okay, I'd be surprised if it was more than sixteen,

1500
01:17:43,120 --> 01:17:46,400
Speaker 3: but I'd be surprised if it was less than.

1501
01:17:47,880 --> 01:17:51,160
Speaker 1: Nine, because you guys trapped your asses off from collegn trapped.

1502
01:17:53,640 --> 01:17:59,200
Speaker 3: We caught four in two months, and then we got

1503
01:17:59,240 --> 01:18:04,200
Speaker 3: a bonus cat this fall, which was super exciting. Well, okay,

1504
01:18:04,240 --> 01:18:06,840
Speaker 3: so I'll explain how we normally trap. So this is

1505
01:18:06,840 --> 01:18:09,600
Speaker 3: what we're doing to our official season, and this was

1506
01:18:09,640 --> 01:18:12,760
Speaker 3: how I was tied to traplinks and have how I've

1507
01:18:12,800 --> 01:18:17,760
Speaker 3: always done it. It's snowmobiling. Every single day we're out there,

1508
01:18:17,960 --> 01:18:21,360
Speaker 3: we're riding around one hundred miles a day. We're covering

1509
01:18:21,560 --> 01:18:25,599
Speaker 3: ground and we're we're looking for tracks. You get really

1510
01:18:25,600 --> 01:18:29,280
Speaker 3: good at snowmobiling and tracking at high speed. We're looking

1511
01:18:29,360 --> 01:18:29,760
Speaker 3: for track.

1512
01:18:30,080 --> 01:18:31,240
Speaker 1: You know what you want to.

1513
01:18:31,240 --> 01:18:35,960
Speaker 3: See exactly, and you start getting you know, an idea

1514
01:18:36,160 --> 01:18:39,479
Speaker 3: of all right, I see tracks here regularly, or I

1515
01:18:39,520 --> 01:18:43,120
Speaker 3: see and and they're crossing you know, a saddle here,

1516
01:18:43,240 --> 01:18:45,439
Speaker 3: or crossing down a drainage here, crossing the road here,

1517
01:18:45,560 --> 01:18:47,439
Speaker 3: or they're just using this road as a corridor, or

1518
01:18:47,439 --> 01:18:49,120
Speaker 3: maybe this is good habitat, and you can see where

1519
01:18:49,120 --> 01:18:52,120
Speaker 3: they're hunting along. They like to use roads, and then

1520
01:18:52,120 --> 01:18:53,880
Speaker 3: they'll they'll sort of pop over to the edge of

1521
01:18:53,920 --> 01:18:55,479
Speaker 3: the road. You'll see where they put their little butt

1522
01:18:55,560 --> 01:18:57,439
Speaker 3: down and sit, and then you know they're they're they're

1523
01:18:57,479 --> 01:18:59,960
Speaker 3: looking for snowshie hairs and they'll do that a lot

1524
01:19:00,040 --> 01:19:01,360
Speaker 3: on the road, so you know where they're hunting too.

1525
01:19:02,640 --> 01:19:06,040
Speaker 3: Once you find little honey holes that you think are

1526
01:19:06,080 --> 01:19:08,519
Speaker 3: gonna be good, then we set a trap, and our

1527
01:19:08,600 --> 01:19:13,559
Speaker 3: traps are they're box traps. We made them ourselves. They're

1528
01:19:13,600 --> 01:19:16,599
Speaker 3: made out of This is not our invention, but it's

1529
01:19:16,640 --> 01:19:20,880
Speaker 3: it's just a cheap er, cheap ish way to do this.

1530
01:19:21,840 --> 01:19:24,679
Speaker 3: But it's a PVC pipe frame and then we wrap

1531
01:19:24,680 --> 01:19:28,479
Speaker 3: it with chicken wire. I had a local welder welds

1532
01:19:28,560 --> 01:19:32,880
Speaker 3: up some some just thin metal frame doors and that

1533
01:19:32,960 --> 01:19:36,160
Speaker 3: goes into a PVC pipe frame. It slides up and down,

1534
01:19:36,200 --> 01:19:39,160
Speaker 3: so it's a guillotine type door. Here's where it gets

1535
01:19:39,160 --> 01:19:42,320
Speaker 3: a little wacky. It sounds like a Rube Goldberg, but

1536
01:19:42,600 --> 01:19:46,040
Speaker 3: it works. It works really well. We've got in the

1537
01:19:46,080 --> 01:19:50,280
Speaker 3: back of the trap a little fishing line trip line,

1538
01:19:50,720 --> 01:19:54,200
Speaker 3: so it's in the back quarter of the trap. That

1539
01:19:54,439 --> 01:20:00,320
Speaker 3: fishing line goes spans spans the let's see, it's such

1540
01:20:00,360 --> 01:20:03,760
Speaker 3: that when an animal goes in there and reaches for

1541
01:20:03,840 --> 01:20:07,000
Speaker 3: the bait that's behind it, they're they're going to hit it. Now,

1542
01:20:07,040 --> 01:20:10,479
Speaker 3: that goes up to the top of the trap. That

1543
01:20:10,600 --> 01:20:13,840
Speaker 3: fishing line, where there's a mouse trap wired onto. The

1544
01:20:13,840 --> 01:20:19,479
Speaker 3: traps get very yeah, tied mouse traps with the little

1545
01:20:19,520 --> 01:20:26,200
Speaker 3: fake cheese tied. Yes, well, you tie the fishing line

1546
01:20:26,400 --> 01:20:31,760
Speaker 3: to the fake cheese the door has paracord that is

1547
01:20:32,520 --> 01:20:35,760
Speaker 3: holding it up. That para cord goes back to the

1548
01:20:35,800 --> 01:20:39,120
Speaker 3: mouse trap. It's got a loop in the end blade.

1549
01:20:40,120 --> 01:20:42,000
Speaker 1: Yeah, glue to the mouse trap bail.

1550
01:20:42,520 --> 01:20:48,400
Speaker 3: It's not quite that bad. The loop goes over the

1551
01:20:48,640 --> 01:20:51,200
Speaker 3: arm of the mouse trap so that when you set

1552
01:20:51,280 --> 01:20:54,320
Speaker 3: the trap, it's it. It doesn't make it go off.

1553
01:20:54,439 --> 01:20:56,880
Speaker 3: The the the door is being held up by the

1554
01:20:57,040 --> 01:20:59,519
Speaker 3: rope that is being held in place by the set trap,

1555
01:20:59,800 --> 01:21:04,400
Speaker 3: and when linx or a bird or anything hits that

1556
01:21:04,400 --> 01:21:09,360
Speaker 3: that trip line, it pulls the cheese down. Trap goes off,

1557
01:21:09,800 --> 01:21:12,360
Speaker 3: releasing the door and it drops.

1558
01:21:12,400 --> 01:21:14,040
Speaker 1: Is that door weighted so it drops quick?

1559
01:21:14,880 --> 01:21:18,519
Speaker 3: It weighs enough just because it's got that metal frame. Okay, Yeah,

1560
01:21:18,640 --> 01:21:22,519
Speaker 3: Everything in the design of our trap is also geared

1561
01:21:22,520 --> 01:21:25,720
Speaker 3: towards really making sure our animals are safe. So we

1562
01:21:25,720 --> 01:21:27,760
Speaker 3: don't want a super heavy door that should it go

1563
01:21:27,800 --> 01:21:29,320
Speaker 3: off early, it could. Yeah.

1564
01:21:29,520 --> 01:21:31,800
Speaker 1: Yeah, what what what are you baiting and luring with?

1565
01:21:32,560 --> 01:21:36,640
Speaker 3: Oh, we're using all kinds of different lures, but I

1566
01:21:36,720 --> 01:21:40,800
Speaker 3: like to have Well, let's see, we're using road killed deer.

1567
01:21:41,000 --> 01:21:43,000
Speaker 3: And the reason we're using road killed deer is that

1568
01:21:43,080 --> 01:21:46,559
Speaker 3: it's usually readily available right now we're hurting for bait.

1569
01:21:46,600 --> 01:21:47,400
Speaker 3: We are desperate.

1570
01:21:47,479 --> 01:21:48,360
Speaker 1: Well, not beaver meat.

1571
01:21:49,120 --> 01:21:51,400
Speaker 3: I've used that in the past, and I love using

1572
01:21:51,439 --> 01:21:54,559
Speaker 3: that because it's got a nice smell, but our state

1573
01:21:55,240 --> 01:21:58,240
Speaker 3: vet advises not to just in case of disease transfer.

1574
01:21:59,840 --> 01:22:01,760
Speaker 1: And so we're we're using We're going to get in

1575
01:22:01,840 --> 01:22:02,759
Speaker 1: and eat that bait.

1576
01:22:02,640 --> 01:22:06,280
Speaker 3: Exactly, and so yeah, so I use that for yeah,

1577
01:22:06,360 --> 01:22:09,040
Speaker 3: deer meat. So we're constantly on the lookout for roadkill.

1578
01:22:09,080 --> 01:22:10,240
Speaker 3: We've got a whole routine.

1579
01:22:10,400 --> 01:22:12,479
Speaker 1: I think every better roadkill.

1580
01:22:12,760 --> 01:22:15,439
Speaker 3: Oh yeah, well we've but we've got our whole community

1581
01:22:15,520 --> 01:22:18,960
Speaker 3: is looking out for us because we're we posted it everywhere.

1582
01:22:18,400 --> 01:22:21,280
Speaker 3: We're desperate because like here in Bozeman, we haven't gotten

1583
01:22:21,320 --> 01:22:23,880
Speaker 3: a ton of snow, so the deer haven't all pushed

1584
01:22:23,880 --> 01:22:24,880
Speaker 3: down to the valley bottom.

1585
01:22:24,920 --> 01:22:26,559
Speaker 1: You ever find anyone who's a little too good at

1586
01:22:26,600 --> 01:22:30,720
Speaker 1: getting meat I have, I don't know. I just let

1587
01:22:30,760 --> 01:22:32,439
Speaker 1: the other one jumped out in front of my truck.

1588
01:22:32,800 --> 01:22:36,360
Speaker 3: No, we're getting so desperate that I'm like, good people,

1589
01:22:36,800 --> 01:22:40,840
Speaker 3: they need to drive faster something. Yeah, so we're we

1590
01:22:40,880 --> 01:22:43,479
Speaker 3: get calls right now and right now we're doing We're desperate.

1591
01:22:43,479 --> 01:22:45,280
Speaker 3: We're going at any time of the day because it

1592
01:22:45,400 --> 01:22:47,479
Speaker 3: is cut throat right now.

1593
01:22:47,880 --> 01:22:49,320
Speaker 1: We've had competition.

1594
01:22:49,400 --> 01:22:52,320
Speaker 3: Oh my god, we've had calls where somebody's like fresh

1595
01:22:52,360 --> 01:22:55,160
Speaker 3: road killed corner of blah blah blah, this creek. We

1596
01:22:55,640 --> 01:22:59,439
Speaker 3: zoom down there and it's gone. People are salvaging for

1597
01:22:59,479 --> 01:22:59,800
Speaker 3: the meat.

1598
01:23:00,040 --> 01:23:02,760
Speaker 1: And so there's so few of the researchers out there.

1599
01:23:03,080 --> 01:23:05,439
Speaker 3: Well, there are some other researchers that we're that we're

1600
01:23:05,439 --> 01:23:09,120
Speaker 3: competing with. They're a wolverine project. We've got to compromise though.

1601
01:23:09,160 --> 01:23:11,760
Speaker 3: They can have the head because that's not super meaty.

1602
01:23:11,800 --> 01:23:13,920
Speaker 3: But they like that for the wolverines because they can't

1603
01:23:14,400 --> 01:23:18,120
Speaker 3: just a little more of a puzzle and they have

1604
01:23:18,120 --> 01:23:20,040
Speaker 3: to work harder to get it that so it lasts longer.

1605
01:23:20,520 --> 01:23:24,440
Speaker 4: I was going to ask that, like what other predators

1606
01:23:24,439 --> 01:23:26,559
Speaker 4: are in the area that might be attractor of those

1607
01:23:26,920 --> 01:23:27,640
Speaker 4: like wolverines.

1608
01:23:29,320 --> 01:23:31,720
Speaker 1: Yeah, bye, catch for sure, but let her finish the bait.

1609
01:23:31,840 --> 01:23:35,240
Speaker 1: And I want to get the bobcatch by caatch using flagging.

1610
01:23:35,840 --> 01:23:38,240
Speaker 1: Oh yeah, CDs wings, what do you use?

1611
01:23:40,120 --> 01:23:42,799
Speaker 3: Let's see, so we always do a little a little

1612
01:23:42,920 --> 01:23:47,840
Speaker 3: eye catch. I've used CDs. I like what we usually

1613
01:23:47,880 --> 01:23:50,439
Speaker 3: use now just because it's super easy. Is that flashing

1614
01:23:50,479 --> 01:23:53,080
Speaker 3: bird tape for like you put up in an orchard.

1615
01:23:53,360 --> 01:23:54,840
Speaker 3: You just hang a little of that. It flutters in

1616
01:23:54,840 --> 01:23:55,800
Speaker 3: the breeze. Really nice.

1617
01:23:56,880 --> 01:23:59,960
Speaker 1: You know someone told me recently drives them crazy, bobcats crazy?

1618
01:24:00,840 --> 01:24:03,640
Speaker 1: Is uh. He takes peacock feathers. This guy lives in

1619
01:24:03,680 --> 01:24:07,200
Speaker 1: a state where you can't use game bird parts. He

1620
01:24:07,280 --> 01:24:11,639
Speaker 1: takes peacock feathers and sticks them just in because it's

1621
01:24:11,640 --> 01:24:14,920
Speaker 1: got that iridescence and the way they blow, he says,

1622
01:24:14,920 --> 01:24:19,679
Speaker 1: like a magnet. You picture that little eye, that eye

1623
01:24:19,720 --> 01:24:22,880
Speaker 1: shape on a peacock feather, just flickering in the breeze. Says,

1624
01:24:22,920 --> 01:24:25,960
Speaker 1: it's like irresistance. They got to come. What they wonder

1625
01:24:26,000 --> 01:24:26,720
Speaker 1: what that thing is?

1626
01:24:27,400 --> 01:24:30,439
Speaker 3: Well, we got new this year some little I think

1627
01:24:30,479 --> 01:24:33,080
Speaker 3: there must be Christmas decorations or something. But it's shaped

1628
01:24:33,120 --> 01:24:37,360
Speaker 3: like an icicle, but it spins, so it's flashy and

1629
01:24:37,400 --> 01:24:37,920
Speaker 3: it spins.

1630
01:24:38,439 --> 01:24:40,400
Speaker 1: Try those turn you on to a new product, you

1631
01:24:40,479 --> 01:24:43,679
Speaker 1: might like, Oh please do are you aware? Tom Miranda

1632
01:24:43,680 --> 01:24:45,760
Speaker 1: and someone else they make this thing that you're not

1633
01:24:45,840 --> 01:24:49,880
Speaker 1: they're not legal here. It's a mouse emitter, a mouse

1634
01:24:49,960 --> 01:24:51,719
Speaker 1: noise squeaker. Have you tried squeak?

1635
01:24:51,760 --> 01:24:58,599
Speaker 3: Got squeakers? Got squawkers? When you've got nine maybe ten

1636
01:24:58,680 --> 01:25:00,880
Speaker 3: links some ten thousand acres that you're trying to catch.

1637
01:25:02,240 --> 01:25:03,559
Speaker 3: Oh yeah, big time.

1638
01:25:03,600 --> 01:25:05,040
Speaker 1: Do you ever worry that gets a little too busy

1639
01:25:05,080 --> 01:25:05,719
Speaker 1: around your set?

1640
01:25:05,880 --> 01:25:07,960
Speaker 3: Yeah, yeah I do.

1641
01:25:08,840 --> 01:25:11,080
Speaker 1: Are using a commercial lure too, Yep.

1642
01:25:11,120 --> 01:25:13,679
Speaker 3: We buy lures so the because to use for lure.

1643
01:25:14,280 --> 01:25:16,880
Speaker 3: We've got all kinds of stuff because but but I

1644
01:25:16,880 --> 01:25:19,439
Speaker 3: always like to have because we're using deer, I like

1645
01:25:19,479 --> 01:25:23,680
Speaker 3: to have some castor in there. And then to appeal

1646
01:25:23,920 --> 01:25:29,200
Speaker 3: to you know, territory reality or breeding. We've got you know,

1647
01:25:29,200 --> 01:25:35,360
Speaker 3: squeez bottles of Lynx p cat nippy stuff. We've got

1648
01:25:35,360 --> 01:25:41,040
Speaker 3: a whole drawer. It's I'm a huge well we had

1649
01:25:41,080 --> 01:25:44,080
Speaker 3: to move, so the long distance lures were like something skunky,

1650
01:25:44,120 --> 01:25:48,200
Speaker 3: we'll put that up over the trap and you know,

1651
01:25:48,320 --> 01:25:50,479
Speaker 3: like a lot of people Gusto is a great brand

1652
01:25:50,520 --> 01:25:56,240
Speaker 3: of that, but it is poke ten. Oh hell yeah,

1653
01:25:56,280 --> 01:25:59,280
Speaker 3: I've used that. I mean universally that stuff is great.

1654
01:25:59,680 --> 01:26:03,400
Speaker 1: But huh, it can be. You're all you're like, you're

1655
01:26:03,439 --> 01:26:07,000
Speaker 1: like all checked out. Oh my god, there's nothing you

1656
01:26:07,040 --> 01:26:09,080
Speaker 1: know all the like all the I just hear all

1657
01:26:09,280 --> 01:26:11,760
Speaker 1: like I'll talk to cat trap bobcat trappers and this

1658
01:26:11,880 --> 01:26:13,519
Speaker 1: is all stuff they bring up. So it's funny that

1659
01:26:13,560 --> 01:26:14,879
Speaker 1: you're like, onto all these.

1660
01:26:14,840 --> 01:26:16,599
Speaker 3: Oh yeah, a little a little skunk is good.

1661
01:26:16,800 --> 01:26:17,760
Speaker 1: But we.

1662
01:26:19,479 --> 01:26:22,040
Speaker 3: That you can just you can order all these things

1663
01:26:22,080 --> 01:26:25,120
Speaker 3: online and it's usually not a problem. But the gusto

1664
01:26:25,439 --> 01:26:28,240
Speaker 3: you can smell. And I did have the post office once.

1665
01:26:28,320 --> 01:26:30,760
Speaker 3: Be like, hm, next time you order that, it'll be

1666
01:26:30,800 --> 01:26:32,680
Speaker 3: on the back porch. You're gonna have to go around for.

1667
01:26:32,680 --> 01:26:34,760
Speaker 1: That if you want. I have it here in the

1668
01:26:34,760 --> 01:26:36,640
Speaker 1: parking lot, and I'll happily give it to you. I

1669
01:26:36,680 --> 01:26:40,439
Speaker 1: have a bottle of skunk essence and beaver castor blank

1670
01:26:41,040 --> 01:26:42,719
Speaker 1: together to fly or drive.

1671
01:26:43,280 --> 01:26:48,880
Speaker 3: I flew, Yeah, we had. We get so used to

1672
01:26:48,880 --> 01:26:50,200
Speaker 3: the smell that we don't smell it.

1673
01:26:50,680 --> 01:26:52,320
Speaker 1: But oh, you know what, can I can I tell

1674
01:26:52,320 --> 01:26:54,400
Speaker 1: you something real quick that I didn't mention? How do

1675
01:26:54,479 --> 01:26:57,559
Speaker 1: I miss this? Krinn? We were recently telling a story

1676
01:26:57,560 --> 01:27:00,479
Speaker 1: about the world's greatest tsa agent who instead to stealing

1677
01:27:00,479 --> 01:27:03,439
Speaker 1: people's knives, we couldn't tell where what states happens in.

1678
01:27:04,000 --> 01:27:06,519
Speaker 1: Instead of stealing people's knives, she instructs them to put

1679
01:27:06,560 --> 01:27:09,280
Speaker 1: them in the drop ceiling of the bathroom. And someone

1680
01:27:09,320 --> 01:27:10,840
Speaker 1: went up there to get their knife back and there

1681
01:27:10,880 --> 01:27:13,519
Speaker 1: was several other knives up in the drop ceiling. This

1682
01:27:13,600 --> 01:27:18,240
Speaker 1: guy was talking about moving from Australia and he's moving

1683
01:27:18,280 --> 01:27:20,000
Speaker 1: from Australia to the US. So he's trying to bring

1684
01:27:20,040 --> 01:27:21,680
Speaker 1: guns and AMMO. I don't know why I didn't buy

1685
01:27:21,720 --> 01:27:23,320
Speaker 1: a new ammal when he got here or new guns

1686
01:27:23,320 --> 01:27:24,679
Speaker 1: when he got here, but he's trying to move guns

1687
01:27:24,680 --> 01:27:28,599
Speaker 1: and AMMO from Australia. And in Australia they somehow tell

1688
01:27:28,640 --> 01:27:32,760
Speaker 1: them to put the ammal in a carry on and

1689
01:27:32,800 --> 01:27:34,960
Speaker 1: he's like that can't be right. To the customs people like, no,

1690
01:27:35,000 --> 01:27:36,040
Speaker 1: you had to put in the carry on. So he

1691
01:27:36,040 --> 01:27:41,280
Speaker 1: gets in the Australian version of TSA has to confiscated

1692
01:27:41,360 --> 01:27:46,880
Speaker 1: from to be destroyed. He later gets to the US

1693
01:27:48,080 --> 01:27:50,479
Speaker 1: and one of his bags is missing. One of his

1694
01:27:50,560 --> 01:27:54,240
Speaker 1: bags didn't make it, so he files for a lost

1695
01:27:54,280 --> 01:27:56,639
Speaker 1: bag and then when the bag turns up, it has

1696
01:27:56,680 --> 01:27:59,920
Speaker 1: all his AMMO in it. Oh, someone had taken pity

1697
01:28:00,080 --> 01:28:05,040
Speaker 1: on him, pulled his bag, put his ammal back in it,

1698
01:28:05,080 --> 01:28:07,639
Speaker 1: and send it alongest way on a later flight rather

1699
01:28:07,680 --> 01:28:10,680
Speaker 1: than destroying the guy's animal. Wow, very civilized. Yeah, it's

1700
01:28:10,680 --> 01:28:12,720
Speaker 1: like you know on Christmas to do happy stories in

1701
01:28:12,800 --> 01:28:16,880
Speaker 1: the news good news. Where I buy gas, they'd have

1702
01:28:16,920 --> 01:28:22,160
Speaker 1: a thing the pump plays you happy news stories, cheddar news.

1703
01:28:22,240 --> 01:28:24,200
Speaker 4: You find yourself just standing around.

1704
01:28:23,960 --> 01:28:28,840
Speaker 1: Watching us for a while. I mean, I'm annoyed. But

1705
01:28:28,840 --> 01:28:32,120
Speaker 1: there used to be this person called like Eva Menendez

1706
01:28:32,200 --> 01:28:35,080
Speaker 1: or something. I should tell you how to make like

1707
01:28:35,280 --> 01:28:37,280
Speaker 1: get like a jar and put some marbles in there

1708
01:28:37,360 --> 01:28:40,120
Speaker 1: for decoration or whatever, and then or how to not

1709
01:28:40,160 --> 01:28:42,760
Speaker 1: be so stressed out. But today it was some dude

1710
01:28:43,400 --> 01:28:46,960
Speaker 1: telling happy news. It's called good news.

1711
01:28:47,080 --> 01:28:49,720
Speaker 8: I've just never noticed that there was a I've never

1712
01:28:49,760 --> 01:28:52,320
Speaker 8: paid enough attention to notice that it's.

1713
01:28:52,160 --> 01:28:54,439
Speaker 1: All good news. It's called good news.

1714
01:28:55,160 --> 01:28:56,839
Speaker 2: I've just never paid enough attention.

1715
01:28:58,000 --> 01:29:00,559
Speaker 1: We scooped him because this would be good news about

1716
01:29:00,560 --> 01:29:05,160
Speaker 1: the guy's ammo, that's all. Yeah, this reminds me of

1717
01:29:05,160 --> 01:29:07,719
Speaker 1: that sure you taking my skunk sent home?

1718
01:29:08,160 --> 01:29:09,560
Speaker 3: Yeah, it could be probably remind me of that.

1719
01:29:09,600 --> 01:29:12,360
Speaker 1: You don't want to do that. Well, I mean, you

1720
01:29:12,360 --> 01:29:14,439
Speaker 1: know that thing that happened in the Laska Airlines flight

1721
01:29:14,520 --> 01:29:14,920
Speaker 1: there night.

1722
01:29:15,560 --> 01:29:17,439
Speaker 3: I heard about that as I was.

1723
01:29:21,400 --> 01:29:23,040
Speaker 1: They have to ground all them planes.

1724
01:29:24,040 --> 01:29:28,200
Speaker 3: Yeah, we we have an official office now right in downtown.

1725
01:29:28,280 --> 01:29:31,120
Speaker 3: Winthrop was just the town we live in, and we

1726
01:29:31,120 --> 01:29:33,879
Speaker 3: were told we needed to put the the gusto outside

1727
01:29:33,920 --> 01:29:38,000
Speaker 3: because you walk in and it smells like straight up

1728
01:29:38,680 --> 01:29:39,280
Speaker 3: a hot box.

1729
01:29:39,439 --> 01:29:42,200
Speaker 1: How do you get links? You're in F and T

1730
01:29:42,880 --> 01:29:46,240
Speaker 1: or so it must be trappers up in the far North.

1731
01:29:46,720 --> 01:29:47,639
Speaker 3: So yeah, I guess.

1732
01:29:47,720 --> 01:29:51,040
Speaker 1: So we got all as a bottle of links. You're

1733
01:29:51,080 --> 01:29:51,919
Speaker 1: in really expensive.

1734
01:29:52,240 --> 01:29:54,200
Speaker 3: It's not well in the mounts that we're using it.

1735
01:29:54,200 --> 01:29:54,760
Speaker 3: It adds up.

1736
01:29:55,240 --> 01:29:57,439
Speaker 1: It's gonna be like a really limited supply.

1737
01:29:58,840 --> 01:30:00,840
Speaker 3: I don't know how limited is. Yeah, I don't know.

1738
01:30:01,000 --> 01:30:02,560
Speaker 1: See, buy it comes in a bottle.

1739
01:30:02,320 --> 01:30:04,800
Speaker 3: Comes in a bottle. Gotta make sure. They often don't

1740
01:30:04,800 --> 01:30:07,480
Speaker 3: have good lids, and so we everything usually smells.

1741
01:30:07,240 --> 01:30:09,600
Speaker 1: Like the piece here, uh huh.

1742
01:30:09,640 --> 01:30:13,439
Speaker 3: And yeah, so we've got score bottles of that. Mix

1743
01:30:13,479 --> 01:30:15,879
Speaker 3: a little glitcering so it doesn't freeze.

1744
01:30:17,520 --> 01:30:18,160
Speaker 2: You need to do that.

1745
01:30:19,200 --> 01:30:20,000
Speaker 3: Yeah that's good.

1746
01:30:20,240 --> 01:30:21,559
Speaker 1: I got some glitier on my counter.

1747
01:30:21,680 --> 01:30:23,320
Speaker 2: Keeps freezing, Yeah, it does.

1748
01:30:24,680 --> 01:30:26,200
Speaker 3: It keeps it from freezing. Yeah. Yeah.

1749
01:30:26,240 --> 01:30:27,920
Speaker 1: Like let's say you got you know how they sell that.

1750
01:30:28,120 --> 01:30:31,160
Speaker 1: Your pea comes in those bottles like, yeah, ten ounces?

1751
01:30:31,360 --> 01:30:32,639
Speaker 1: How much glister are you putting there?

1752
01:30:32,680 --> 01:30:36,120
Speaker 3: I don't know. No, No, you just buy it and

1753
01:30:36,240 --> 01:30:37,040
Speaker 3: you can mix it up.

1754
01:30:37,400 --> 01:30:39,160
Speaker 1: I'm saying, how much glister do you shoot in there?

1755
01:30:39,240 --> 01:30:39,599
Speaker 3: Oh?

1756
01:30:40,080 --> 01:30:41,040
Speaker 1: I have a tablespoon.

1757
01:30:41,520 --> 01:30:45,360
Speaker 3: No more than that, I don't Yeah, just depend you

1758
01:30:45,439 --> 01:30:46,960
Speaker 3: just yeah, I don't know the other.

1759
01:30:47,120 --> 01:30:49,160
Speaker 1: So you go to a trappers supply house and buy

1760
01:30:49,240 --> 01:30:49,960
Speaker 1: glitcering too?

1761
01:30:50,360 --> 01:30:51,559
Speaker 3: You can, Yeah, you can order it.

1762
01:30:51,640 --> 01:30:53,640
Speaker 1: I have a bottle. I'm just curious how you guys do.

1763
01:30:53,680 --> 01:30:54,760
Speaker 3: Oh yeah, we just order it.

1764
01:30:55,240 --> 01:30:56,680
Speaker 1: Do they ever wonder what you guys are doing when

1765
01:30:56,680 --> 01:30:57,839
Speaker 1: you're ordering all this equipment?

1766
01:30:58,640 --> 01:31:02,080
Speaker 3: No, but we order enough that they write us nice

1767
01:31:02,080 --> 01:31:03,679
Speaker 3: notes and give us free hats.

1768
01:31:03,439 --> 01:31:05,600
Speaker 1: And stuff, and they're never like why are you do

1769
01:31:05,640 --> 01:31:07,559
Speaker 1: you know you're not? Did they never let you know?

1770
01:31:07,760 --> 01:31:09,760
Speaker 1: Like you know you're not allowed to trap links where

1771
01:31:09,760 --> 01:31:10,080
Speaker 1: you're at?

1772
01:31:10,160 --> 01:31:12,639
Speaker 3: Like, does you know we're trapping links? I mean they

1773
01:31:13,040 --> 01:31:16,800
Speaker 3: do you use F and T or Minnesota trap line?

1774
01:31:16,920 --> 01:31:17,120
Speaker 1: Yeah?

1775
01:31:17,280 --> 01:31:21,280
Speaker 3: Yeah, yeah. We just go on there and try new

1776
01:31:21,280 --> 01:31:24,040
Speaker 3: things and all those I'm such a sucker, all those descriptions,

1777
01:31:24,040 --> 01:31:26,559
Speaker 3: you're like, this is the magic bullet they make them.

1778
01:31:27,640 --> 01:31:29,040
Speaker 1: You'll read those lure descriptions.

1779
01:31:29,080 --> 01:31:31,080
Speaker 3: Oh yeah, and they all feel like this is the one.

1780
01:31:31,320 --> 01:31:36,080
Speaker 3: I'm a total sucker. So we got all kinds of yeah, exactly,

1781
01:31:36,240 --> 01:31:38,680
Speaker 3: I'm like, great, that's what I need. So we've got

1782
01:31:38,720 --> 01:31:41,479
Speaker 3: all of our lures and we try to change those up.

1783
01:31:42,240 --> 01:31:47,679
Speaker 3: But yeah, always a caster, some pe or links.

1784
01:31:47,720 --> 01:31:50,679
Speaker 1: Glands are using cameras on your traps too.

1785
01:31:51,640 --> 01:31:56,479
Speaker 3: We uh, sometimes not very often. We're just beating cheeks

1786
01:31:56,479 --> 01:31:58,280
Speaker 3: and running a gun and so much out there that

1787
01:31:58,360 --> 01:32:02,439
Speaker 3: we it would the camera to Yeah, and.

1788
01:32:02,360 --> 01:32:04,160
Speaker 1: You probably don't have cell service anyway, so you can

1789
01:32:04,360 --> 01:32:06,240
Speaker 1: sell you their cas and do you get links that

1790
01:32:06,320 --> 01:32:07,799
Speaker 1: work the set? But just never committed.

1791
01:32:07,840 --> 01:32:08,960
Speaker 3: Oh that's the norm.

1792
01:32:09,240 --> 01:32:13,559
Speaker 1: Really, Oh my god, what do they want to do?

1793
01:32:13,560 --> 01:32:14,400
Speaker 3: Not go in the cave?

1794
01:32:14,479 --> 01:32:16,560
Speaker 1: They'll circle down wind or they'll even come up to

1795
01:32:16,600 --> 01:32:18,519
Speaker 1: the door or what like, what's the hang up for him?

1796
01:32:18,800 --> 01:32:23,479
Speaker 3: Various things? I mean, they'll let's see, for example, we

1797
01:32:23,560 --> 01:32:26,400
Speaker 3: had a cat last year that we could not catch.

1798
01:32:26,439 --> 01:32:29,240
Speaker 3: We tried everything, We threw all sorts of things at him.

1799
01:32:29,360 --> 01:32:33,240
Speaker 3: We you know, just just different variations in our sets.

1800
01:32:33,439 --> 01:32:37,000
Speaker 3: And he would often twice a day, so we'd come

1801
01:32:37,040 --> 01:32:39,400
Speaker 3: on the line in the morning, there'd be fresh tracks

1802
01:32:39,400 --> 01:32:42,840
Speaker 3: of him walking by the traps. You could tell he

1803
01:32:42,920 --> 01:32:45,160
Speaker 3: was spending enough time around there that he was checking them,

1804
01:32:45,400 --> 01:32:47,880
Speaker 3: he was checking out the scene. He certainly was not

1805
01:32:47,960 --> 01:32:50,160
Speaker 3: going in and poking his head in or anything like that,

1806
01:32:50,160 --> 01:32:53,280
Speaker 3: but it close nod.

1807
01:32:52,800 --> 01:32:54,639
Speaker 1: So he knew that that thing was bad news.

1808
01:32:54,800 --> 01:32:57,800
Speaker 3: Yeah, And I like to so when we we we

1809
01:32:57,880 --> 01:33:00,280
Speaker 3: put our trap in the snow, we s you know,

1810
01:33:00,280 --> 01:33:01,880
Speaker 3: we pack snow around it. I like to make sure

1811
01:33:01,920 --> 01:33:03,600
Speaker 3: there's plenty of snow in the bottom so they're not

1812
01:33:03,640 --> 01:33:06,360
Speaker 3: feeling that chicken wire or anything funky. And then we

1813
01:33:06,439 --> 01:33:09,200
Speaker 3: put boughs along the side just to give that sort

1814
01:33:09,200 --> 01:33:12,599
Speaker 3: of tunnel look kind of you know, like a cat

1815
01:33:12,720 --> 01:33:14,960
Speaker 3: likes a paper bag or something that's gonna be sort

1816
01:33:15,000 --> 01:33:18,120
Speaker 3: of exciting, but it also just keeps snow from blowing

1817
01:33:18,160 --> 01:33:20,760
Speaker 3: in and piling up in your trap, gives them a

1818
01:33:20,760 --> 01:33:22,960
Speaker 3: little thermal protection if they're in there. And then on

1819
01:33:23,000 --> 01:33:26,040
Speaker 3: the top, we've got a piece of clear plastic and

1820
01:33:26,120 --> 01:33:28,559
Speaker 3: that's again to protect the cat in case there's a

1821
01:33:28,600 --> 01:33:30,960
Speaker 3: thaw and it gets wet. We don't want to getting wet.

1822
01:33:31,560 --> 01:33:33,760
Speaker 3: And then we pile boughs on that and I like

1823
01:33:33,840 --> 01:33:35,680
Speaker 3: to make it so it would be unattractive for a

1824
01:33:35,720 --> 01:33:38,200
Speaker 3: cat to jump on top because that would set off

1825
01:33:38,240 --> 01:33:41,479
Speaker 3: the trap. And worst case scenario would be, say there's

1826
01:33:41,479 --> 01:33:43,880
Speaker 3: a mom and kitten and mom's going in the trap,

1827
01:33:44,120 --> 01:33:45,880
Speaker 3: and then a kitten jumps on it and the door

1828
01:33:46,080 --> 01:33:49,639
Speaker 3: you know, closes and spooks her, and then you're ten

1829
01:33:49,720 --> 01:33:52,800
Speaker 3: steps behind where you were. So yeah, I try to

1830
01:33:52,800 --> 01:33:55,200
Speaker 3: to make it unattractive for them to jump on top

1831
01:33:55,240 --> 01:33:58,479
Speaker 3: of the trap, but this cat would just sort of

1832
01:33:59,240 --> 01:34:02,280
Speaker 3: check it out. Mosey on. We got, you know, camera

1833
01:34:02,320 --> 01:34:05,840
Speaker 3: footage of him just walking right past, just breezing on by.

1834
01:34:06,439 --> 01:34:09,040
Speaker 1: We not even stopping. He just comes through but then

1835
01:34:09,160 --> 01:34:09,679
Speaker 1: takes off.

1836
01:34:09,880 --> 01:34:12,559
Speaker 3: Yeah, like he's just walking by, maybe looks at it,

1837
01:34:12,600 --> 01:34:17,000
Speaker 3: but keeps going. And he was driving us nuts. I

1838
01:34:17,000 --> 01:34:20,640
Speaker 3: got a little obsessed. And he would. Then we'd go

1839
01:34:20,680 --> 01:34:22,439
Speaker 3: out to the rest of our line, be out all day,

1840
01:34:22,479 --> 01:34:25,120
Speaker 3: be coming back, and there'd be fresh tracks. One of

1841
01:34:25,120 --> 01:34:28,360
Speaker 3: our a couple, oh yeah, a couple of our trappers

1842
01:34:28,400 --> 01:34:32,040
Speaker 3: saw him just sauntering down the road right by one

1843
01:34:32,080 --> 01:34:44,120
Speaker 3: of our traps. Never could get him. That brings me

1844
01:34:44,160 --> 01:34:47,560
Speaker 3: to our bonus cat. This fall, we had maybe a

1845
01:34:47,600 --> 01:34:53,479
Speaker 3: little bit of a vanditta and we were like Moby Dick.

1846
01:34:53,960 --> 01:34:59,719
Speaker 3: He was our white whale. So we decided to do

1847
01:34:59,760 --> 01:35:03,360
Speaker 3: just a little bonus trapping. And so this fall, before

1848
01:35:03,400 --> 01:35:07,680
Speaker 3: the snow even flew. I went out there, and I

1849
01:35:08,479 --> 01:35:10,720
Speaker 3: wanted to condition him to the traps. And this is

1850
01:35:10,760 --> 01:35:14,639
Speaker 3: a technique that is used in career trapping and bobcat

1851
01:35:14,680 --> 01:35:17,360
Speaker 3: trapping for research, but I'd never used it for length.

1852
01:35:17,840 --> 01:35:22,240
Speaker 3: And so I took a full quarter, so a nice

1853
01:35:22,240 --> 01:35:24,599
Speaker 3: big chunk of meat. I drilled a hole in the bone,

1854
01:35:24,840 --> 01:35:27,840
Speaker 3: cabled it and staked it down so nothing could come.

1855
01:35:27,920 --> 01:35:29,200
Speaker 3: Wolves couldn't come and take it.

1856
01:35:29,400 --> 01:35:30,519
Speaker 1: Cable it through the bone.

1857
01:35:30,800 --> 01:35:32,920
Speaker 3: Yeah, I didn't want because bears were still out. I

1858
01:35:32,960 --> 01:35:35,760
Speaker 3: didn't want somebody dragging it off. So I staked that

1859
01:35:35,840 --> 01:35:40,160
Speaker 3: sucker down. Then I set a trap maybe six feet away.

1860
01:35:40,280 --> 01:35:43,000
Speaker 3: Not the door was tied open, it was just there

1861
01:35:43,080 --> 01:35:46,040
Speaker 3: and ready to go. So the idea was a Links

1862
01:35:46,200 --> 01:35:49,240
Speaker 3: could come start nibbling on that bait, get a little

1863
01:35:49,400 --> 01:35:52,120
Speaker 3: taste for what we've got, and get used to the

1864
01:35:52,200 --> 01:35:54,439
Speaker 3: trapp being there. And we had a camera on it.

1865
01:35:54,920 --> 01:35:59,960
Speaker 3: So I set four of those stations in this area

1866
01:36:00,160 --> 01:36:03,760
Speaker 3: where I knew this this Links went a lot. Three

1867
01:36:03,840 --> 01:36:07,040
Speaker 3: nights later, I checked the camera and he'd come and

1868
01:36:07,120 --> 01:36:13,840
Speaker 3: started eating that bait, and so great, Jay's nothing else.

1869
01:36:14,439 --> 01:36:17,680
Speaker 3: So I moved it closer to the trap, so the

1870
01:36:17,720 --> 01:36:21,120
Speaker 3: part it was partly in the door. Waited he didn't.

1871
01:36:21,240 --> 01:36:24,719
Speaker 3: He came back ate some of that. I was like, oh, buddy, yeah,

1872
01:36:24,840 --> 01:36:28,639
Speaker 3: it's on and uh, within a week. We probably could

1873
01:36:28,640 --> 01:36:31,719
Speaker 3: have done it faster, but we were. It just worked

1874
01:36:31,760 --> 01:36:34,040
Speaker 3: out that within like a week and a half, he

1875
01:36:34,160 --> 01:36:37,519
Speaker 3: was eating bait that was in the middle of the trap.

1876
01:36:38,040 --> 01:36:40,639
Speaker 3: And then once I saw that, that night I put

1877
01:36:40,880 --> 01:36:43,320
Speaker 3: at all the bait stations meet in the back of

1878
01:36:43,360 --> 01:36:47,479
Speaker 3: the trap and he came that night and we caught

1879
01:36:47,520 --> 01:36:49,559
Speaker 3: him just the first night that the traps were actually set.

1880
01:36:49,880 --> 01:36:50,679
Speaker 1: Mature cat.

1881
01:36:51,000 --> 01:36:54,960
Speaker 3: Oh, beautiful, biggest cat we've caught in Washington.

1882
01:36:55,000 --> 01:36:56,160
Speaker 1: He was thirty one.

1883
01:36:59,200 --> 01:37:03,519
Speaker 3: No, he was a beautiful, just really nice cat. I mean,

1884
01:37:03,600 --> 01:37:07,760
Speaker 3: just holding him, he wasn't that old, maybe three to five.

1885
01:37:07,800 --> 01:37:09,640
Speaker 3: It's really hard. We age him just based on how

1886
01:37:09,720 --> 01:37:12,280
Speaker 3: much where they have on their teeth, but it's it's rough.

1887
01:37:12,439 --> 01:37:14,000
Speaker 3: It's really hard to tell. But he wasn't an old

1888
01:37:14,040 --> 01:37:17,640
Speaker 3: grandpa by any means. Put a collar on him and

1889
01:37:17,720 --> 01:37:18,679
Speaker 3: he's out and about.

1890
01:37:18,960 --> 01:37:20,639
Speaker 1: Did he just get the hell out of town when

1891
01:37:20,640 --> 01:37:21,160
Speaker 1: you let him go?

1892
01:37:21,920 --> 01:37:22,160
Speaker 2: No?

1893
01:37:22,479 --> 01:37:25,960
Speaker 3: No, he So we let him go. He jumped out

1894
01:37:25,960 --> 01:37:28,680
Speaker 3: of the trap and then just stopped and then just

1895
01:37:28,720 --> 01:37:29,639
Speaker 3: sauntered off.

1896
01:37:30,320 --> 01:37:32,759
Speaker 1: But his ass is never going back in a trap.

1897
01:37:32,800 --> 01:37:37,240
Speaker 3: Now, well, here's the thing. The first links will and

1898
01:37:37,240 --> 01:37:44,400
Speaker 3: and other animals too, will get trap happy where they realize, Okay,

1899
01:37:44,640 --> 01:37:47,960
Speaker 3: I can yeah, exactly, I can go in that trap,

1900
01:37:48,040 --> 01:37:50,599
Speaker 3: get a pound or two of free meat. They'll come

1901
01:37:50,600 --> 01:37:53,040
Speaker 3: and let me go in the morning. So we had

1902
01:37:53,240 --> 01:37:58,880
Speaker 3: the first no they I mean, it's it makes sense.

1903
01:37:58,960 --> 01:38:00,679
Speaker 3: The first hat that we caught.

1904
01:38:00,760 --> 01:38:03,160
Speaker 1: I imagine how scary it's got to be. A person

1905
01:38:03,200 --> 01:38:03,760
Speaker 1: shows up.

1906
01:38:05,080 --> 01:38:07,840
Speaker 3: It's worth it, apparently. I mean, that's a lot of meat,

1907
01:38:08,280 --> 01:38:10,439
Speaker 3: and it's there every night, and if you let them

1908
01:38:10,439 --> 01:38:13,200
Speaker 3: out early, they can go to another trap for that afternoon.

1909
01:38:14,120 --> 01:38:15,200
Speaker 3: We've had that happen.

1910
01:38:16,720 --> 01:38:18,040
Speaker 2: Like that.

1911
01:38:18,040 --> 01:38:20,000
Speaker 4: That cat was real hard to catch. Is there are

1912
01:38:20,040 --> 01:38:22,640
Speaker 4: other cats you've just caught over and over again.

1913
01:38:22,520 --> 01:38:25,679
Speaker 1: Right, So the first one you can't keep away, right right.

1914
01:38:25,760 --> 01:38:28,160
Speaker 3: The first links that we caught last winter, he was

1915
01:38:28,240 --> 01:38:32,439
Speaker 3: like that. He he was his personality was such that

1916
01:38:32,520 --> 01:38:35,320
Speaker 3: he was just not as cautious and he went right

1917
01:38:35,360 --> 01:38:37,920
Speaker 3: in the trap. I think probably the first time he

1918
01:38:38,000 --> 01:38:41,519
Speaker 3: saw one of our traps, he went in. He ate

1919
01:38:41,560 --> 01:38:44,880
Speaker 3: the bait. We came the next morning, we processed him,

1920
01:38:45,000 --> 01:38:47,599
Speaker 3: We let him go and I don't remember how long later,

1921
01:38:47,640 --> 01:38:50,160
Speaker 3: but he figured it out and then from then on,

1922
01:38:50,680 --> 01:38:53,120
Speaker 3: it was almost every morning he'd be in a trap

1923
01:38:53,160 --> 01:39:01,240
Speaker 3: and we have to let him go. Here's our snowmobile

1924
01:39:01,400 --> 01:39:03,320
Speaker 3: come and he's like, oh, they're sending a trap over there.

1925
01:39:03,320 --> 01:39:05,639
Speaker 3: I got to check that out. So we we had

1926
01:39:05,680 --> 01:39:07,760
Speaker 3: to just start ripping traps out of his home range

1927
01:39:07,760 --> 01:39:09,800
Speaker 3: as fast as seriously, yeah, because.

1928
01:39:09,520 --> 01:39:11,719
Speaker 1: It was something might happen to him eventually.

1929
01:39:11,800 --> 01:39:14,240
Speaker 3: Right, Well, I guess there's could be some risk of that,

1930
01:39:14,320 --> 01:39:18,720
Speaker 3: but we're really careful. But he was, I mean, he

1931
01:39:18,840 --> 01:39:23,559
Speaker 3: was just banging up our trap line and because he's

1932
01:39:23,840 --> 01:39:30,880
Speaker 3: collecting data now, so he was he was ruining his data. Yeah,

1933
01:39:30,880 --> 01:39:33,280
Speaker 3: if we run an analysis, would be like, well link

1934
01:39:33,280 --> 01:39:38,200
Speaker 3: select trap lines and traps. So yeah, so we tried

1935
01:39:38,360 --> 01:39:40,280
Speaker 3: not to let it come to that, but he's he's

1936
01:39:40,560 --> 01:39:43,000
Speaker 3: kind of putting a wrench in our game this year

1937
01:39:43,040 --> 01:39:45,760
Speaker 3: because there's a female that it overlaps with that we've

1938
01:39:45,760 --> 01:39:48,400
Speaker 3: gotten on camera that we'd love to trap, but it's

1939
01:39:48,479 --> 01:39:49,959
Speaker 3: kind of a no go zone because.

1940
01:39:49,920 --> 01:39:51,600
Speaker 1: We know he's just going to be, oh, he'll just

1941
01:39:51,640 --> 01:39:52,280
Speaker 1: plug it all up.

1942
01:39:52,400 --> 01:39:53,240
Speaker 3: Yeah, exactly.

1943
01:39:53,320 --> 01:39:56,840
Speaker 1: Have you ever Okay, there's by there's bycatch, So I

1944
01:39:56,880 --> 01:39:59,000
Speaker 1: want you to do bycatch, I want you to do

1945
01:39:59,160 --> 01:40:01,840
Speaker 1: what the different says you see and how these things

1946
01:40:01,920 --> 01:40:03,719
Speaker 1: move and what they're doing once you get a collar

1947
01:40:03,760 --> 01:40:05,559
Speaker 1: on them. There's a thing I want to ask.

1948
01:40:05,720 --> 01:40:08,240
Speaker 4: I want to know what they got to worry about,

1949
01:40:08,360 --> 01:40:10,000
Speaker 4: like as far as oh.

1950
01:40:09,960 --> 01:40:13,920
Speaker 1: Yeah, yeah, that's a good one. So bycatch, how they're acting.

1951
01:40:14,439 --> 01:40:16,880
Speaker 1: And then when you get them, when you get a

1952
01:40:16,920 --> 01:40:18,800
Speaker 1: collar on, they die. Where are they dying from?

1953
01:40:19,160 --> 01:40:19,559
Speaker 2: Yeah?

1954
01:40:20,320 --> 01:40:22,360
Speaker 1: Do you have collared right now?

1955
01:40:22,400 --> 01:40:23,639
Speaker 3: We have three on air?

1956
01:40:24,040 --> 01:40:26,800
Speaker 1: Okay, on air collared.

1957
01:40:26,520 --> 01:40:31,000
Speaker 3: Collared callers are functioning. They're giving us data. Yeah, so

1958
01:40:31,640 --> 01:40:32,920
Speaker 3: where did you get the first one?

1959
01:40:33,640 --> 01:40:36,280
Speaker 1: By catchy catch, it all turns up in your traps.

1960
01:40:36,760 --> 01:40:37,960
Speaker 3: We get a lot of Grade.

1961
01:40:37,800 --> 01:40:41,120
Speaker 1: J's still walking area.

1962
01:40:41,520 --> 01:40:43,840
Speaker 3: Oh yeah. And then once they find a trap, they

1963
01:40:43,840 --> 01:40:46,240
Speaker 3: can be kind of a pest. But that that is

1964
01:40:46,479 --> 01:40:49,280
Speaker 3: one of the drawbacks of our trigger system, that mouse

1965
01:40:49,280 --> 01:40:52,559
Speaker 3: trap system, is that it's so sensitive that uh, you know,

1966
01:40:52,680 --> 01:40:54,680
Speaker 3: a Grade J goes in there and they're setting the

1967
01:40:54,720 --> 01:40:57,680
Speaker 3: trap off. Weasels go in there, certainly, but they can

1968
01:40:57,680 --> 01:40:59,880
Speaker 3: get out. There's enough, you know, they can just squeeze out.

1969
01:41:00,080 --> 01:41:01,160
Speaker 1: They throw the door first.

1970
01:41:01,640 --> 01:41:05,040
Speaker 3: Sometimes they're also so short they often go under under

1971
01:41:05,080 --> 01:41:08,040
Speaker 3: the trip line. We got ssh hairs I've.

1972
01:41:07,840 --> 01:41:09,519
Speaker 1: Had after just whatever.

1973
01:41:10,120 --> 01:41:12,519
Speaker 3: Well, they'll eat the boughs off of our traps, but

1974
01:41:12,600 --> 01:41:14,960
Speaker 3: they also just it's a little hiding spot, so they'll

1975
01:41:14,960 --> 01:41:18,720
Speaker 3: go in there. I've caught a snowshoe hair in a

1976
01:41:18,760 --> 01:41:22,200
Speaker 3: trap and then it was just being circled by a

1977
01:41:22,280 --> 01:41:25,920
Speaker 3: lynx trying to get it. Yeah, so that is that

1978
01:41:26,400 --> 01:41:27,280
Speaker 3: makes me want to vomit.

1979
01:41:27,400 --> 01:41:30,960
Speaker 1: Yeah, that's a rough night, man. Yeah, so did you

1980
01:41:31,000 --> 01:41:32,600
Speaker 1: add him to the bait pile? Did you let him go?

1981
01:41:33,640 --> 01:41:37,639
Speaker 3: We let him go? Yeah, let's see. But more exciting

1982
01:41:37,680 --> 01:41:41,200
Speaker 3: by catch. We caught a bobcat last year, which I

1983
01:41:41,240 --> 01:41:43,719
Speaker 3: was surprised it didn't break out of that trap because.

1984
01:41:43,479 --> 01:41:46,439
Speaker 1: They're That was what Mercer was saying, because he's used

1985
01:41:46,439 --> 01:41:48,760
Speaker 1: to bobcats. I remember he was saying when I first

1986
01:41:48,800 --> 01:41:51,080
Speaker 1: connected you guys, he was saying that he was worried

1987
01:41:51,080 --> 01:41:52,920
Speaker 1: that that wouldn't hold them, and you were saying, well,

1988
01:41:52,960 --> 01:41:55,480
Speaker 1: links are chill compared, like they don't fight the trap.

1989
01:41:55,360 --> 01:42:01,160
Speaker 3: Right, Yeah, and I so bombcats and links are pretty

1990
01:42:01,640 --> 01:42:06,280
Speaker 3: pretty different personalities for lack of a better word, where

1991
01:42:06,840 --> 01:42:10,360
Speaker 3: bobcats are just like go them flying demons, because especially

1992
01:42:10,360 --> 01:42:13,880
Speaker 3: in like a foothold, they are just going nuts. Their

1993
01:42:13,920 --> 01:42:17,439
Speaker 3: stress response is the fight or flight, and in a

1994
01:42:17,479 --> 01:42:19,800
Speaker 3: box trap, you know, they're all over the place and

1995
01:42:19,840 --> 01:42:24,400
Speaker 3: they'll I've had a bust out of you know, manufactured

1996
01:42:24,680 --> 01:42:26,919
Speaker 3: all metal traps.

1997
01:42:28,280 --> 01:42:30,840
Speaker 1: They put a collar on the bobcat you caught, no

1998
01:42:32,240 --> 01:42:32,760
Speaker 1: want that.

1999
01:42:35,240 --> 01:42:39,559
Speaker 3: Links tend to go into freeze as their stress response.

2000
01:42:39,920 --> 01:42:42,599
Speaker 3: They'll they'll test the walls of the trap a little bit,

2001
01:42:42,720 --> 01:42:45,120
Speaker 3: but they're not they're not working hard on getting out,

2002
01:42:45,439 --> 01:42:49,479
Speaker 3: and so they'll tend to just sort of hunker down

2003
01:42:49,640 --> 01:42:51,479
Speaker 3: a little bit more in the trap. So that's why

2004
01:42:51,479 --> 01:42:53,760
Speaker 3: we can use these traps. I would not use them

2005
01:42:53,800 --> 01:42:55,400
Speaker 3: for any other type of cat.

2006
01:42:56,160 --> 01:42:58,400
Speaker 1: Wolverine's gonna be out of there in a second.

2007
01:42:58,720 --> 01:43:01,120
Speaker 3: Yeah, a fisher would be out of there in a second.

2008
01:43:01,280 --> 01:43:02,000
Speaker 1: Have you caught those?

2009
01:43:02,560 --> 01:43:04,760
Speaker 3: We actually did so we you know.

2010
01:43:05,040 --> 01:43:06,559
Speaker 1: We're almost caught one or whatever.

2011
01:43:07,400 --> 01:43:10,360
Speaker 3: Well, I've caught them a lot links trapping in other

2012
01:43:10,400 --> 01:43:15,760
Speaker 3: areas in Maine. Here very surprising because we don't have

2013
01:43:15,960 --> 01:43:18,120
Speaker 3: technically on the east slope of the Cascades in our

2014
01:43:18,160 --> 01:43:21,120
Speaker 3: area a population of fisher. But we did catch one.

2015
01:43:21,200 --> 01:43:23,160
Speaker 3: Luckily it wasn't in one of our chicken wire traps.

2016
01:43:23,160 --> 01:43:26,920
Speaker 3: We were borrowing some some manufactured traps and it was

2017
01:43:26,960 --> 01:43:28,880
Speaker 3: in one of those, so that was pretty exciting.

2018
01:43:30,680 --> 01:43:32,519
Speaker 1: Definitely, Not what about Martin.

2019
01:43:34,400 --> 01:43:37,759
Speaker 3: I have caught lots of Martin. Either we're not catching

2020
01:43:37,920 --> 01:43:40,360
Speaker 3: Martin in our traps or they're getting out. I think

2021
01:43:40,360 --> 01:43:42,719
Speaker 3: we're not catching them because again we're in a burned area,

2022
01:43:42,760 --> 01:43:43,840
Speaker 3: so there's not a ton of Martin.

2023
01:43:43,920 --> 01:43:44,200
Speaker 1: Got you.

2024
01:43:44,720 --> 01:43:50,800
Speaker 3: Yeah, Yeah, let's see other by catch that's red foxes. Nope,

2025
01:43:50,800 --> 01:43:55,920
Speaker 3: we also barely if any have those no coyotes, no

2026
01:43:56,120 --> 01:43:58,519
Speaker 3: a cane, it is going to be they're not They

2027
01:43:58,520 --> 01:44:00,519
Speaker 3: do not want to go into a box trap. They're

2028
01:44:00,560 --> 01:44:01,320
Speaker 3: way too wary.

2029
01:44:02,200 --> 01:44:03,960
Speaker 1: They might pass through, but they're not going to put

2030
01:44:04,000 --> 01:44:04,519
Speaker 1: their head in there.

2031
01:44:04,600 --> 01:44:08,519
Speaker 3: Yeah. Yeah, I've had now bobcat trapping I've had I've

2032
01:44:08,560 --> 01:44:12,160
Speaker 3: had cougars go into the traps, but they're so big

2033
01:44:12,200 --> 01:44:14,680
Speaker 3: that the doorge just falls on their butt. Yeah, and

2034
01:44:14,720 --> 01:44:17,160
Speaker 3: they just back out. But they can be a problem.

2035
01:44:17,200 --> 01:44:19,880
Speaker 4: And you're doing most of you're trapping after the bears

2036
01:44:19,920 --> 01:44:22,360
Speaker 4: have denned up, so they're not trash in your traps.

2037
01:44:22,520 --> 01:44:24,479
Speaker 3: Yeah, that's a big part of why we trap in winter,

2038
01:44:24,680 --> 01:44:27,320
Speaker 3: so we're not having to deal with that now this fall.

2039
01:44:27,800 --> 01:44:30,200
Speaker 3: I was willing to sacrifice a trap or two if

2040
01:44:30,240 --> 01:44:32,160
Speaker 3: if we were going to catch this, We're going to

2041
01:44:32,240 --> 01:44:34,280
Speaker 3: catch this links.

2042
01:44:34,960 --> 01:44:39,559
Speaker 1: So what are you seeing on like anything surprising and

2043
01:44:39,600 --> 01:44:42,800
Speaker 1: how they're used, how far they're going, or like that

2044
01:44:42,920 --> 01:44:44,760
Speaker 1: you let them go and they kind of hang out

2045
01:44:45,560 --> 01:44:48,240
Speaker 1: in the immediate vicinity, they go to the next state,

2046
01:44:48,360 --> 01:44:48,880
Speaker 1: or what do they do.

2047
01:44:49,760 --> 01:44:53,000
Speaker 3: I mean, what's been surprising to me is like I

2048
01:44:53,040 --> 01:44:55,719
Speaker 3: said that they're not moving that far, that they're making

2049
01:44:55,960 --> 01:44:59,320
Speaker 3: home ranges entirely within this burn and so far, I

2050
01:44:59,360 --> 01:45:01,720
Speaker 3: mean it's we only have three you know cats on air,

2051
01:45:01,760 --> 01:45:04,920
Speaker 3: but so far they are not giant home ranges, which

2052
01:45:05,000 --> 01:45:08,280
Speaker 3: could indicate that it's decent habitat. They're not having to

2053
01:45:08,320 --> 01:45:11,320
Speaker 3: go super far. This this burn is big enough that

2054
01:45:11,360 --> 01:45:13,840
Speaker 3: as we sort of move our trap line north, maybe

2055
01:45:13,840 --> 01:45:16,040
Speaker 3: the conditions are different up there and maybe it won't

2056
01:45:16,040 --> 01:45:18,120
Speaker 3: be the same story. But at least the links we

2057
01:45:18,160 --> 01:45:22,960
Speaker 3: have on air right now are making a pretty tight

2058
01:45:23,120 --> 01:45:23,719
Speaker 3: home range.

2059
01:45:24,000 --> 01:45:26,880
Speaker 1: When do they rout what's their previous season.

2060
01:45:26,920 --> 01:45:31,760
Speaker 3: Uh, March February and then they have kittens May June.

2061
01:45:32,320 --> 01:45:35,400
Speaker 1: Have you maybe probably doesn't work. If you had a

2062
01:45:35,439 --> 01:45:39,800
Speaker 1: female and then at that time and you knew where

2063
01:45:39,800 --> 01:45:42,400
Speaker 1: they were, it might be plausible that there'd be like

2064
01:45:42,479 --> 01:45:45,000
Speaker 1: multi like more males in that area. Or is that

2065
01:45:45,080 --> 01:45:47,760
Speaker 1: not that that's not something really factors in.

2066
01:45:48,280 --> 01:45:49,800
Speaker 3: Oh, like if we see she's like a.

2067
01:45:49,840 --> 01:45:52,080
Speaker 1: Jewdas, she winds up being like a Judas animal, right

2068
01:45:52,720 --> 01:45:55,160
Speaker 1: like that with her, you know that in her zone

2069
01:45:55,640 --> 01:45:56,840
Speaker 1: there's gonna be cats coming through.

2070
01:45:57,120 --> 01:46:01,840
Speaker 3: Yeah, I mean they all move so much. If I

2071
01:46:01,920 --> 01:46:04,400
Speaker 3: knew where a female was, I'd certainly be setting traps

2072
01:46:04,439 --> 01:46:07,000
Speaker 3: there anyway, because we want to get female cats on air.

2073
01:46:07,040 --> 01:46:11,080
Speaker 1: You want to have males, all males on air right now?

2074
01:46:11,200 --> 01:46:15,120
Speaker 3: Yeah, yeah, right now. The males are more apt to

2075
01:46:15,120 --> 01:46:16,599
Speaker 3: go in a trap in general.

2076
01:46:16,760 --> 01:46:19,920
Speaker 1: In general, So, have you had any cats get immortality signal?

2077
01:46:20,000 --> 01:46:22,280
Speaker 1: Have you had any cats die while while collared?

2078
01:46:22,640 --> 01:46:24,280
Speaker 3: Yeah? And that was a bummer because it was the

2079
01:46:24,280 --> 01:46:27,600
Speaker 3: one female that we caught last year. So we caught

2080
01:46:27,800 --> 01:46:31,760
Speaker 3: a female and it was a really cool handling. It

2081
01:46:31,800 --> 01:46:37,000
Speaker 3: was just you know how some times when you're hunting,

2082
01:46:37,040 --> 01:46:39,960
Speaker 3: there's there's a deer you get that just feels special

2083
01:46:39,960 --> 01:46:43,360
Speaker 3: because of everything around it, the scenery, the day, the whatever.

2084
01:46:44,000 --> 01:46:46,120
Speaker 3: This was kind of one of those those moments with

2085
01:46:46,200 --> 01:46:52,240
Speaker 3: this cat. We we caught this female lynx and she

2086
01:46:52,439 --> 01:46:55,360
Speaker 3: had a kitten with her, and this was in March.

2087
01:46:55,760 --> 01:46:58,960
Speaker 3: And so this kitten is you know, pretty almost full grown.

2088
01:46:59,000 --> 01:47:00,800
Speaker 1: It's almost the kittens outside of the trap.

2089
01:47:00,880 --> 01:47:04,120
Speaker 3: It's outside of the females in Yeah. And so I

2090
01:47:04,240 --> 01:47:07,320
Speaker 3: was right in my snowmobile checking the line, checking the line,

2091
01:47:07,320 --> 01:47:08,920
Speaker 3: and I'm looking up at the next trap and I

2092
01:47:09,000 --> 01:47:10,720
Speaker 3: just see it wiggle a little bit, and I just

2093
01:47:10,880 --> 01:47:13,360
Speaker 3: jam on the brakes and I go up there and

2094
01:47:13,560 --> 01:47:18,960
Speaker 3: there's this female links in the trap and I can

2095
01:47:19,000 --> 01:47:22,320
Speaker 3: see kitten footprints around it where he's been, you know,

2096
01:47:22,400 --> 01:47:27,760
Speaker 3: trying to be close to her. And as I was

2097
01:47:27,800 --> 01:47:30,200
Speaker 3: waiting for the rest of the team to meet me

2098
01:47:30,280 --> 01:47:34,200
Speaker 3: to do the handling and collaring, I heard and saw

2099
01:47:34,240 --> 01:47:36,439
Speaker 3: that that kitten was kind of checking in with her

2100
01:47:36,439 --> 01:47:38,680
Speaker 3: and he was just sitting up on a hill above her.

2101
01:47:39,120 --> 01:47:40,000
Speaker 3: Plus it was just.

2102
01:47:39,880 --> 01:47:41,240
Speaker 1: This making what noise.

2103
01:47:41,640 --> 01:47:44,320
Speaker 3: It's like a little sort of bird, little.

2104
01:47:45,280 --> 01:47:51,040
Speaker 1: Make the noise. I'll do it till I get it.

2105
01:47:51,080 --> 01:47:59,040
Speaker 3: Right, Okay, No more like uh, we're like yeah, got

2106
01:47:59,080 --> 01:48:01,960
Speaker 3: it now. They make some real ugly noises. This was

2107
01:48:02,120 --> 01:48:05,280
Speaker 3: probably one of the cuter noises they make, but in general, no,

2108
01:48:05,600 --> 01:48:08,080
Speaker 3: in general, they sound like they're throwing up or something.

2109
01:48:08,120 --> 01:48:13,439
Speaker 3: They kind of make this yowling demon noise, the cornered Nope,

2110
01:48:13,520 --> 01:48:14,479
Speaker 3: just talking to each other.

2111
01:48:14,640 --> 01:48:15,000
Speaker 1: You hear it?

2112
01:48:15,200 --> 01:48:19,560
Speaker 3: Yeah, okay, yeah, anyway.

2113
01:48:19,360 --> 01:48:22,120
Speaker 1: So hit me with the demon noise. It's like that,

2114
01:48:22,560 --> 01:48:24,120
Speaker 1: oh is that right? Like that that weird?

2115
01:48:24,280 --> 01:48:27,400
Speaker 3: It's weird. It's not. It's not a cute cat noise.

2116
01:48:27,560 --> 01:48:29,240
Speaker 1: Like someone wouldn't be like that must be a lynx.

2117
01:48:29,560 --> 01:48:34,960
Speaker 3: No, you'd be like, what was that. There's some some

2118
01:48:35,000 --> 01:48:36,880
Speaker 3: cool YouTube where you can hear them.

2119
01:48:37,000 --> 01:48:39,560
Speaker 1: Okay, yeah, uh.

2120
01:48:39,600 --> 01:48:43,280
Speaker 3: Anyway, So I'm sitting there, I'm alone with this, with

2121
01:48:43,320 --> 01:48:45,519
Speaker 3: this cat. I'm at a distance. We like to try

2122
01:48:45,520 --> 01:48:47,320
Speaker 3: and keep them as calm as we can because it

2123
01:48:47,479 --> 01:48:50,439
Speaker 3: just it's a better experience for them. The drugs works better,

2124
01:48:50,920 --> 01:48:52,559
Speaker 3: everything just goes better if they're calm. So I'm a

2125
01:48:52,600 --> 01:48:58,040
Speaker 3: distance away. But it's this cold, beautiful, snowy high mountain day,

2126
01:48:58,120 --> 01:49:00,479
Speaker 3: this sort of meadow with a creek in it, and

2127
01:49:00,520 --> 01:49:03,600
Speaker 3: then these you know, trees and burnt trees along the

2128
01:49:03,640 --> 01:49:05,800
Speaker 3: side of it. It's snowing. It was. It was just

2129
01:49:05,840 --> 01:49:10,040
Speaker 3: one of those moments and then we you know, crew arrived,

2130
01:49:10,040 --> 01:49:12,640
Speaker 3: we processed this cat, and.

2131
01:49:14,479 --> 01:49:17,880
Speaker 4: You just for the audience, can you go like quick

2132
01:49:17,960 --> 01:49:19,479
Speaker 4: rundown of what processing is?

2133
01:49:21,320 --> 01:49:23,559
Speaker 1: Stretchy.

2134
01:49:26,720 --> 01:49:33,640
Speaker 3: So, when we're handling any wildlife species, it's our professional

2135
01:49:33,680 --> 01:49:38,360
Speaker 3: responsibility and our our ethics to do it in the

2136
01:49:38,400 --> 01:49:40,120
Speaker 3: most humane way possible.

2137
01:49:40,479 --> 01:49:44,480
Speaker 1: And you're dealing with you're dealing with a feederally, yeah, threatened.

2138
01:49:44,160 --> 01:49:49,120
Speaker 3: Speed exactly, And so we baseline whenever, no matter what

2139
01:49:49,200 --> 01:49:52,640
Speaker 3: species we're trapping, we have a really high bar for

2140
01:49:52,720 --> 01:49:55,799
Speaker 3: how we do things and how we try to minimize

2141
01:49:55,800 --> 01:49:59,800
Speaker 3: stress and obviously minimize risk and all of that because

2142
01:49:59,800 --> 01:50:00,080
Speaker 3: it's I.

2143
01:50:00,520 --> 01:50:04,160
Speaker 1: Interrupted real quest. A friend of mine was doing doc banding,

2144
01:50:05,200 --> 01:50:06,640
Speaker 1: and I don't want to tell you who said this,

2145
01:50:06,880 --> 01:50:10,200
Speaker 1: but he was doing doc banding and his boss told him,

2146
01:50:10,240 --> 01:50:12,519
Speaker 1: if you're not killing birds, you ain't working hard enough.

2147
01:50:13,720 --> 01:50:16,280
Speaker 1: That's doc I was going to tell you that in

2148
01:50:16,280 --> 01:50:19,240
Speaker 1: your links area. It was just a funny thing that

2149
01:50:19,280 --> 01:50:22,400
Speaker 1: he remembers being told because he was like, very they're

2150
01:50:22,439 --> 01:50:25,680
Speaker 1: doing those nets and everything was very dainty, and the

2151
01:50:25,720 --> 01:50:27,960
Speaker 1: guys like, listen, we gotta get some birds banded here,

2152
01:50:28,360 --> 01:50:28,960
Speaker 1: Like there's going.

2153
01:50:28,920 --> 01:50:32,040
Speaker 3: To be some Yeah, I mean I think I get

2154
01:50:32,120 --> 01:50:34,320
Speaker 3: the gist of what he was saying. But I think

2155
01:50:34,400 --> 01:50:36,040
Speaker 3: there's a little bit of a tide change.

2156
01:50:36,120 --> 01:50:39,240
Speaker 1: No, no, I'm not giving you professional advice, was I

2157
01:50:39,280 --> 01:50:40,400
Speaker 1: was just observing that.

2158
01:50:40,520 --> 01:50:43,840
Speaker 3: I was just remarking on that and standing up for

2159
01:50:43,880 --> 01:50:46,800
Speaker 3: the wildlife profession. I think that we're getting a little

2160
01:50:46,800 --> 01:50:50,720
Speaker 3: as we're getting more thoughtful yeah about these things and

2161
01:50:50,760 --> 01:50:57,439
Speaker 3: refining techniques. So anyway, we have a really high bar

2162
01:50:57,560 --> 01:51:00,360
Speaker 3: of how we do things and animal safety and all this.

2163
01:51:00,920 --> 01:51:05,720
Speaker 3: So everything we do is geared around minimizing stress. So

2164
01:51:06,120 --> 01:51:10,280
Speaker 3: when we do a handling, it's it's all whispering, it's

2165
01:51:10,360 --> 01:51:14,320
Speaker 3: it's all reading the cat's body language, using our body

2166
01:51:14,400 --> 01:51:19,720
Speaker 3: language to seem as minimally aggressive and threatening. And so

2167
01:51:20,680 --> 01:51:22,360
Speaker 3: when we've got a cat in the trap, first thing

2168
01:51:22,400 --> 01:51:24,679
Speaker 3: we do is we put a big sheet over the trap.

2169
01:51:24,880 --> 01:51:27,639
Speaker 3: That just helps calm the cat. It's just cuts down

2170
01:51:27,640 --> 01:51:31,639
Speaker 3: on visual stimulation. Obviously, we have to drug the cat

2171
01:51:32,200 --> 01:51:35,280
Speaker 3: or we can't handle it. So the way we're doing

2172
01:51:35,320 --> 01:51:38,360
Speaker 3: that is we've got it's called a syringe pole. It's

2173
01:51:38,479 --> 01:51:39,960
Speaker 3: it's a pole and on the end of it is

2174
01:51:39,960 --> 01:51:44,320
Speaker 3: a plunger and you you put your your drugs in

2175
01:51:44,400 --> 01:51:47,720
Speaker 3: a syringe. But the pole is now the plunger, if

2176
01:51:47,720 --> 01:51:50,880
Speaker 3: that makes sense. So that when you so.

2177
01:51:50,840 --> 01:51:53,280
Speaker 1: That when you a little bit yep.

2178
01:51:53,080 --> 01:51:56,080
Speaker 3: You you wait until the cat's in the right position.

2179
01:51:56,120 --> 01:51:57,880
Speaker 3: You want to get it ideally in the it's butt

2180
01:51:58,320 --> 01:52:00,320
Speaker 3: right and it's haunched and that meat there, and you

2181
01:52:00,439 --> 01:52:03,519
Speaker 3: just you slowly bring it in the trap and you

2182
01:52:03,560 --> 01:52:05,200
Speaker 3: just poke it in the butt and just push a

2183
01:52:05,240 --> 01:52:06,240
Speaker 3: little bit and that's it.

2184
01:52:06,400 --> 01:52:07,280
Speaker 1: And what's that drug.

2185
01:52:08,000 --> 01:52:13,240
Speaker 3: We are using a mix of ketamine and metatomitine. So

2186
01:52:13,280 --> 01:52:18,400
Speaker 3: what that does is the but you don't want to

2187
01:52:18,479 --> 01:52:21,160
Speaker 3: use your straight ketamine because it's a really it makes

2188
01:52:21,200 --> 01:52:24,360
Speaker 3: them really rigid. There's risk of seizure and different side effects.

2189
01:52:24,960 --> 01:52:26,880
Speaker 3: It's it's a very safe drug. But we can do

2190
01:52:27,080 --> 01:52:31,680
Speaker 3: a little bit better and give them a more relaxed sedation.

2191
01:52:31,680 --> 01:52:33,240
Speaker 1: They out or just grog.

2192
01:52:33,800 --> 01:52:36,280
Speaker 3: They are out out. You want them out out. I

2193
01:52:36,320 --> 01:52:38,160
Speaker 3: mean think about if if you're going to get an

2194
01:52:38,200 --> 01:52:42,599
Speaker 3: ear tag and be handled by you know, this alien species,

2195
01:52:42,600 --> 01:52:45,360
Speaker 3: you'd want to be out out, no memory, Yeah, you

2196
01:52:45,400 --> 01:52:47,479
Speaker 3: want to be out. So we we drug them and

2197
01:52:47,520 --> 01:52:53,160
Speaker 3: they are unresponsive. You know you could you could you know,

2198
01:52:53,320 --> 01:52:55,120
Speaker 3: do surgery on them if that's what you were doing.

2199
01:52:55,840 --> 01:52:58,439
Speaker 3: Obviously we're not. You drug them, you bring them out

2200
01:52:58,439 --> 01:53:01,640
Speaker 3: of the trap once they're ready. Again, it's always just

2201
01:53:01,680 --> 01:53:04,559
Speaker 3: minimizing that stress. And so we put an imask on

2202
01:53:04,640 --> 01:53:07,760
Speaker 3: them and we're minimizing even like touching it, because that's

2203
01:53:07,800 --> 01:53:11,160
Speaker 3: just more stimulation. And if they are more stimulated, the

2204
01:53:11,240 --> 01:53:13,880
Speaker 3: drugs don't work as well. They've got to burn through

2205
01:53:13,960 --> 01:53:17,000
Speaker 3: more stress. And so the last thing you want is

2206
01:53:17,000 --> 01:53:18,920
Speaker 3: your cat waking up before you're ready. And so we're

2207
01:53:18,920 --> 01:53:22,880
Speaker 3: doing everything to just make that a smooth, calm ride

2208
01:53:22,960 --> 01:53:27,599
Speaker 3: for the cat. And so the handling what we're doing

2209
01:53:28,080 --> 01:53:30,599
Speaker 3: is the primary goal is to get this GPS caller

2210
01:53:30,600 --> 01:53:34,320
Speaker 3: on them. They're little callers that will take a GPS

2211
01:53:34,360 --> 01:53:38,759
Speaker 3: point on collection days every thirty minutes and that shoots

2212
01:53:38,800 --> 01:53:40,719
Speaker 3: up to space and then shoots down to my computer

2213
01:53:41,000 --> 01:53:43,840
Speaker 3: and so every couple of days I'll get an update

2214
01:53:43,840 --> 01:53:46,479
Speaker 3: of what that cat's been doing. So that's our primary goal.

2215
01:53:46,520 --> 01:53:48,240
Speaker 1: But and that thing eventually falls off or what.

2216
01:53:48,760 --> 01:53:51,000
Speaker 3: Yeah, they have a little release mechanism that you can

2217
01:53:51,040 --> 01:53:56,519
Speaker 3: program that does a tiny, tiny, little explosion, but on

2218
01:53:56,560 --> 01:54:00,240
Speaker 3: a micro scale, and it just parts the piece SIT's

2219
01:54:00,240 --> 01:54:02,519
Speaker 3: holding it together and it'll drop off. Really yeah, So

2220
01:54:02,760 --> 01:54:05,080
Speaker 3: February you could go grab it if you want to, exactly. Yeah,

2221
01:54:05,080 --> 01:54:07,479
Speaker 3: so February second, hopefully that's what we'll be doing. That's

2222
01:54:07,520 --> 01:54:09,320
Speaker 3: when our our colls will drop off.

2223
01:54:09,360 --> 01:54:11,320
Speaker 1: Really coming right up, coming right up.

2224
01:54:11,800 --> 01:54:15,559
Speaker 3: Yeah, So it's getting the collar on, but you're also

2225
01:54:15,840 --> 01:54:19,080
Speaker 3: you're you're you've got this cat that needs you know,

2226
01:54:19,160 --> 01:54:21,880
Speaker 3: it doesn't that the drugs can depress their respiration and

2227
01:54:21,920 --> 01:54:23,680
Speaker 3: temperature and things like this, and so you're having to

2228
01:54:23,720 --> 01:54:26,120
Speaker 3: regulate and make sure that that the cat's safe.

2229
01:54:26,120 --> 01:54:28,720
Speaker 1: And so is that collar valuable? You need to go

2230
01:54:28,760 --> 01:54:30,439
Speaker 1: get it because it's valuable, or you just go get

2231
01:54:30,479 --> 01:54:30,920
Speaker 1: it because of.

2232
01:54:32,600 --> 01:54:34,920
Speaker 3: We will theoretically have had all the data on it.

2233
01:54:34,960 --> 01:54:36,560
Speaker 3: But it's just another way to get it. You can

2234
01:54:36,600 --> 01:54:39,360
Speaker 3: have them refurbished, doesn't save you that much money, but yeah,

2235
01:54:39,400 --> 01:54:40,680
Speaker 3: they are expensive.

2236
01:54:41,040 --> 01:54:43,160
Speaker 1: But but going and getting it doesn't. It's not like

2237
01:54:43,200 --> 01:54:45,839
Speaker 1: a financial reason to go get it, not really.

2238
01:54:45,920 --> 01:54:50,120
Speaker 3: Okay, Yeah, anyway, so during the handling, a really important

2239
01:54:50,200 --> 01:54:55,560
Speaker 3: job is to be monitoring temperature, respiration, heart rate, you know,

2240
01:54:55,640 --> 01:54:58,280
Speaker 3: these sorts of things, so that if things start to

2241
01:54:58,360 --> 01:55:02,440
Speaker 3: drift out of you know, a the correct zone of temperature,

2242
01:55:02,560 --> 01:55:04,400
Speaker 3: heart rate, and respiration, we can correct that.

2243
01:55:04,560 --> 01:55:07,840
Speaker 1: And you have a drug that helps with that. Like

2244
01:55:07,920 --> 01:55:09,200
Speaker 1: let's say you oded it on an.

2245
01:55:09,160 --> 01:55:12,400
Speaker 3: Accident, that's really unlikely. The drugs we use have a

2246
01:55:12,440 --> 01:55:16,240
Speaker 3: they have a huge safety margin. We're not gonna do it, yeah,

2247
01:55:16,440 --> 01:55:21,240
Speaker 3: but there are drugs it. You know, there's there's different

2248
01:55:21,280 --> 01:55:24,880
Speaker 3: things that could happen. For example, I had a bear

2249
01:55:24,920 --> 01:55:27,360
Speaker 3: and this is more common embarrassed for whatever reason with

2250
01:55:27,400 --> 01:55:30,240
Speaker 3: some drugs where the breathing got a little too shallow

2251
01:55:30,640 --> 01:55:33,160
Speaker 3: and interrupted for my comfort. I had a drug with

2252
01:55:33,240 --> 01:55:35,280
Speaker 3: that just gave it a little bit of that boom

2253
01:55:35,400 --> 01:55:40,560
Speaker 3: started breathing well. So we have tools for these common

2254
01:55:40,720 --> 01:55:42,720
Speaker 3: things that might go wrong. We've got drugs for if

2255
01:55:42,720 --> 01:55:45,560
Speaker 3: they have a seizure, things like that, or I mean,

2256
01:55:45,600 --> 01:55:48,080
Speaker 3: if it's temperature, it's it's putting snow in its armpits,

2257
01:55:48,560 --> 01:55:51,800
Speaker 3: or if it's hot, Yeah, if it gets too hot,

2258
01:55:51,840 --> 01:55:54,680
Speaker 3: if it gets too cold, we've got we've got we

2259
01:55:54,680 --> 01:55:57,440
Speaker 3: always have them in blankets on a on a foam

2260
01:55:57,480 --> 01:56:02,040
Speaker 3: pad we have If they get really cool, we have

2261
01:56:02,120 --> 01:56:04,240
Speaker 3: socks and we can put little handwarmers in there and

2262
01:56:04,280 --> 01:56:07,440
Speaker 3: put socks on all of its feet. So we're prepared

2263
01:56:07,520 --> 01:56:11,280
Speaker 3: for for a lot. But these things, you know, hopefully

2264
01:56:11,800 --> 01:56:15,440
Speaker 3: by keeping that stress level down. That's one really good

2265
01:56:15,440 --> 01:56:17,760
Speaker 3: way to make sure things are just smooth and steady.

2266
01:56:17,760 --> 01:56:22,400
Speaker 4: Are you also taking samples for like DNA, genetics, disease, stuff.

2267
01:56:22,080 --> 01:56:24,440
Speaker 3: Like that, or we're not taking blood. We're not, we're

2268
01:56:24,440 --> 01:56:27,280
Speaker 3: not looking at disease. If we had a cat that

2269
01:56:27,400 --> 01:56:30,800
Speaker 3: something seemed wrong, we'd certainly take a lot of notes

2270
01:56:30,800 --> 01:56:33,320
Speaker 3: about that. If it had an unusual parasite load, we'd

2271
01:56:33,320 --> 01:56:34,320
Speaker 3: probably collect that.

2272
01:56:35,560 --> 01:56:39,440
Speaker 1: We just know that from scat analysis. Like, how would

2273
01:56:39,440 --> 01:56:41,680
Speaker 1: you know if we had a parasite load, Well.

2274
01:56:41,480 --> 01:56:44,320
Speaker 3: If you see them they sometimes have tapeworms, or if

2275
01:56:44,320 --> 01:56:46,640
Speaker 3: they had an exorminant amount of ticks or fleas or

2276
01:56:46,680 --> 01:56:48,880
Speaker 3: lice or something like that, we'd probably collect that. Right,

2277
01:56:50,880 --> 01:56:54,280
Speaker 3: We do collect DNA, So when we give them a

2278
01:56:54,320 --> 01:56:57,120
Speaker 3: ear tag, we first rather than just jamming the ear

2279
01:56:57,160 --> 01:56:59,240
Speaker 3: tag through, you take a little biopsy punch and it

2280
01:56:59,240 --> 01:57:01,120
Speaker 3: makes a little hole and then we've got that little

2281
01:57:01,160 --> 01:57:04,640
Speaker 3: tissue sample. So call her a couple of DNA samples.

2282
01:57:04,840 --> 01:57:10,400
Speaker 3: No tattoos, no tattoos, no need for that. We're not

2283
01:57:10,520 --> 01:57:11,160
Speaker 3: pit tagging.

2284
01:57:12,360 --> 01:57:13,240
Speaker 1: What's the ear tag for?

2285
01:57:14,080 --> 01:57:18,280
Speaker 3: The ear tag is so that if it shows up

2286
01:57:18,280 --> 01:57:20,160
Speaker 3: on a camera, you might be able to read that number.

2287
01:57:20,240 --> 01:57:22,120
Speaker 3: It's also got my phone number on it, so if

2288
01:57:22,120 --> 01:57:25,080
Speaker 3: somebody finds its carcass, they could call us and we'd

2289
01:57:25,120 --> 01:57:27,800
Speaker 3: know what was going on years down the road. You know,

2290
01:57:27,800 --> 01:57:30,200
Speaker 3: if it's the callers come off and we retrap it,

2291
01:57:30,240 --> 01:57:31,560
Speaker 3: we know who it is.

2292
01:57:31,880 --> 01:57:35,080
Speaker 1: Well, you never finished what you were saying the female

2293
01:57:35,520 --> 01:57:38,280
Speaker 1: Oh yeah, you don't have on it's no longer on air.

2294
01:57:38,280 --> 01:57:41,920
Speaker 3: Right right, so right, yeah, So I was describing what

2295
01:57:41,960 --> 01:57:43,880
Speaker 3: a cool handling that was, and we let her go

2296
01:57:44,360 --> 01:57:46,840
Speaker 3: and there was this just incredible moment of getting to

2297
01:57:46,880 --> 01:57:49,520
Speaker 3: watch her and her kitten reunite and and you know,

2298
01:57:50,120 --> 01:57:52,760
Speaker 3: go off. And we're ecstatic about this because now we've

2299
01:57:52,800 --> 01:57:56,920
Speaker 3: got a female links using the burned area, and to

2300
01:57:57,040 --> 01:58:00,800
Speaker 3: know what habitat of female links is you us is

2301
01:58:01,520 --> 01:58:06,280
Speaker 3: really that's just gold because they're the ones reproducing. And

2302
01:58:06,320 --> 01:58:08,920
Speaker 3: so if if if there are things we can learn

2303
01:58:08,920 --> 01:58:12,840
Speaker 3: about how to support a female links, all the better.

2304
01:58:13,360 --> 01:58:16,480
Speaker 3: So we're really excited about that. We're really hopeful that

2305
01:58:16,520 --> 01:58:19,760
Speaker 3: maybe we'll see where she's detting and and be able

2306
01:58:19,800 --> 01:58:25,520
Speaker 3: to learn about that type of habitat. Anyway, a month later,

2307
01:58:26,040 --> 01:58:29,000
Speaker 3: these callers, if they stop moving for eight hours will

2308
01:58:29,000 --> 01:58:32,960
Speaker 3: give a mortality signal, and and that pushes an email

2309
01:58:33,000 --> 01:58:35,480
Speaker 3: to me. So I wake up Sunday morning, check my

2310
01:58:35,560 --> 01:58:38,160
Speaker 3: email and there's a there's a mortality email.

2311
01:58:38,440 --> 01:58:39,600
Speaker 1: What's the subject line?

2312
01:58:41,280 --> 01:58:44,280
Speaker 3: It might have been the number and mortality or something.

2313
01:58:44,520 --> 01:58:49,960
Speaker 3: Something comes in an email and just makes your Yeah,

2314
01:58:50,040 --> 01:58:54,640
Speaker 3: it's a right, yeah, it's not when you want. I mean,

2315
01:58:54,920 --> 01:58:56,320
Speaker 3: mortalities are fascinating.

2316
01:58:57,360 --> 01:58:59,120
Speaker 1: Just the delivery mechanism of an email.

2317
01:58:59,280 --> 01:59:04,080
Speaker 3: Yeah, yeah, they don't. They don't sugarcoat it or pack no. No,

2318
01:59:05,240 --> 01:59:08,800
Speaker 3: So I I shoot out there. Our season has ended,

2319
01:59:08,800 --> 01:59:11,360
Speaker 3: but there's still a ton of snow, and I went

2320
01:59:11,400 --> 01:59:14,440
Speaker 3: out there with a biologist colleague and friend and it

2321
01:59:14,600 --> 01:59:17,640
Speaker 3: was this kind of a harrowing adventure to get to

2322
01:59:17,760 --> 01:59:24,240
Speaker 3: this spot. But once we got there, we were a

2323
01:59:24,240 --> 01:59:27,800
Speaker 3: little bit hamstringed because her caller was not transmitting a

2324
01:59:27,920 --> 01:59:30,920
Speaker 3: v h F, which that's the little radio beep beep

2325
01:59:30,960 --> 01:59:34,840
Speaker 3: that you can hone in on. It wasn't it's not

2326
01:59:34,920 --> 01:59:38,320
Speaker 3: worth explaining, but it wasn't on that day. So we

2327
01:59:38,320 --> 01:59:40,400
Speaker 3: we get to the area where we know.

2328
01:59:40,520 --> 01:59:44,120
Speaker 1: She is ish and how big How big is this.

2329
01:59:45,840 --> 01:59:51,800
Speaker 3: Maybe a two hundred meter radius, But if there's snow

2330
01:59:51,880 --> 01:59:53,640
Speaker 3: on top of her or if she's in a hole

2331
01:59:53,760 --> 01:59:57,680
Speaker 3: or something. Those GPS points that that she was spitting

2332
01:59:58,320 --> 02:00:01,600
Speaker 3: could be pretty off. Plus it has just snowed that

2333
02:00:01,720 --> 02:00:05,840
Speaker 3: night into the morning, and so we get to this spot.

2334
02:00:05,920 --> 02:00:10,360
Speaker 3: We'd had a hike a bunch on the snowmobile trail.

2335
02:00:11,280 --> 02:00:13,960
Speaker 3: She's not very far from the snowmobile trail, but she's

2336
02:00:14,040 --> 02:00:16,720
Speaker 3: down in a little metal with a creek in this

2337
02:00:16,840 --> 02:00:19,560
Speaker 3: burned area. And like I said, there's a fresh blanket

2338
02:00:19,600 --> 02:00:24,520
Speaker 3: of snow, and that right there is devastating for mortality

2339
02:00:24,520 --> 02:00:27,480
Speaker 3: site investigation because so much of the of what you're

2340
02:00:27,560 --> 02:00:30,480
Speaker 3: learning is from track and sign that you're seeing around.

2341
02:00:30,840 --> 02:00:34,040
Speaker 3: We're not going to have that. We start hiking down

2342
02:00:34,080 --> 02:00:38,680
Speaker 3: this creek and there was a kyote that had gone through,

2343
02:00:39,040 --> 02:00:41,400
Speaker 3: and it must have been sometime that morning because there

2344
02:00:41,440 --> 02:00:44,440
Speaker 3: wasn't much snow in its tracks. Those are only tracks

2345
02:00:44,880 --> 02:00:48,800
Speaker 3: we're seeing, and we sort of note that. We get

2346
02:00:48,800 --> 02:00:51,040
Speaker 3: to the area where we think she is ish and

2347
02:00:51,480 --> 02:00:54,800
Speaker 3: and it's just there's zero sign of anything. I put

2348
02:00:54,800 --> 02:01:01,360
Speaker 3: my bag down, sort of rummaging around, and the guy

2349
02:01:01,400 --> 02:01:03,960
Speaker 3: I'm with he is thinking about those kyot tracks and

2350
02:01:04,000 --> 02:01:06,720
Speaker 3: he's starting to circle and he sees those kyoutracks. He

2351
02:01:06,760 --> 02:01:10,320
Speaker 3: cuts some of these things, I should just follow those tracks.

2352
02:01:10,720 --> 02:01:15,000
Speaker 3: And within very quickly he saw where those tracks had

2353
02:01:15,000 --> 02:01:19,000
Speaker 3: gone up to where a big log had fallen. But

2354
02:01:19,120 --> 02:01:21,400
Speaker 3: picture feet and feet and snow of snow, and they're

2355
02:01:21,400 --> 02:01:23,880
Speaker 3: stow on the log and stead of draping over the log.

2356
02:01:24,160 --> 02:01:27,400
Speaker 3: And so it's the snow cave with a little crack

2357
02:01:27,440 --> 02:01:29,640
Speaker 3: of space along the side of it, and then the

2358
02:01:29,680 --> 02:01:32,840
Speaker 3: front of it you could see down into the snow cave.

2359
02:01:33,280 --> 02:01:37,720
Speaker 3: The coyote had come and stuck its head down in

2360
02:01:37,760 --> 02:01:41,640
Speaker 3: that little cave opening, and so that prompted him to

2361
02:01:41,760 --> 02:01:45,240
Speaker 3: also look at that cave opening, and that's where she was.

2362
02:01:45,320 --> 02:01:49,560
Speaker 3: So he saw what he saw was the lynx I

2363
02:01:49,560 --> 02:01:53,240
Speaker 3: wouldn't say curled up, but sort of flopped over a

2364
02:01:53,240 --> 02:01:59,720
Speaker 3: bit dead. Yeah, dead, And it looked as though she

2365
02:01:59,760 --> 02:02:03,560
Speaker 3: had intentionally gone under there to die. And so we

2366
02:02:03,560 --> 02:02:08,800
Speaker 3: we pulled her out and she was completely frozen, and

2367
02:02:08,840 --> 02:02:12,800
Speaker 3: we did an examination there. There was a slight abrasion

2368
02:02:12,840 --> 02:02:15,560
Speaker 3: on her face. That was all we saw. And so

2369
02:02:16,320 --> 02:02:18,600
Speaker 3: we and and like I said, there were no other

2370
02:02:19,040 --> 02:02:22,960
Speaker 3: track inside. We couldn't backtrack to see, you know, just

2371
02:02:22,960 --> 02:02:25,600
Speaker 3: looked in there and moved on. That was it. So

2372
02:02:25,920 --> 02:02:29,080
Speaker 3: we thought nothing obvious here. This isn't a predation event.

2373
02:02:30,200 --> 02:02:33,000
Speaker 3: You know, we're not there. We have no clues other

2374
02:02:33,080 --> 02:02:35,440
Speaker 3: than she seemed to intentionally go under that log, and

2375
02:02:35,480 --> 02:02:39,120
Speaker 3: that always makes you think disease when they, you know,

2376
02:02:39,160 --> 02:02:41,640
Speaker 3: have sort of curled up in an intentional spot and

2377
02:02:41,720 --> 02:02:46,920
Speaker 3: just died. So we put her in my backpack, hiked

2378
02:02:46,920 --> 02:02:49,920
Speaker 3: her out, and then I shipped her to a lab

2379
02:02:50,000 --> 02:02:52,000
Speaker 3: to do a knee cropsy because they can do all

2380
02:02:52,040 --> 02:02:56,240
Speaker 3: the pathology and you know, test for different diseases. Turns

2381
02:02:56,280 --> 02:02:59,160
Speaker 3: out they didn't have to do that. They they skinned

2382
02:02:59,160 --> 02:03:02,280
Speaker 3: her out and then their amination found that cause of

2383
02:03:02,320 --> 02:03:05,440
Speaker 3: death was blunt force trauma and so she had some

2384
02:03:05,480 --> 02:03:11,120
Speaker 3: broken ribs and some bleeding internally and that's all we know,

2385
02:03:11,720 --> 02:03:14,440
Speaker 3: and we can speculate about how that may have happened,

2386
02:03:14,560 --> 02:03:18,720
Speaker 3: but we don't know. One idea is that, because this

2387
02:03:18,880 --> 02:03:22,040
Speaker 3: was only about, you know, four hundred yards from the

2388
02:03:22,040 --> 02:03:28,440
Speaker 3: snowmobile trail, she could have been hit. They're not. That

2389
02:03:28,520 --> 02:03:31,280
Speaker 3: has happened before in other states that we know of.

2390
02:03:31,600 --> 02:03:35,440
Speaker 3: They get hit by cars. People you know, rip around

2391
02:03:35,520 --> 02:03:39,720
Speaker 3: up there. So that's one idea, or you know, you

2392
02:03:39,760 --> 02:03:41,400
Speaker 3: can come up with any number of other sort of

2393
02:03:41,400 --> 02:03:42,240
Speaker 3: freak accidents that.

2394
02:03:42,240 --> 02:03:46,080
Speaker 1: Could not got hit by not bit.

2395
02:03:47,520 --> 02:03:52,000
Speaker 3: There are no puncture wines, no puncture winds. I don't know,

2396
02:03:52,960 --> 02:03:55,440
Speaker 3: snow corn is broke that it was standing on and

2397
02:03:55,480 --> 02:03:59,800
Speaker 3: it fell on a rock or I don't know, kicked

2398
02:03:59,800 --> 02:04:01,920
Speaker 3: by a moose, which seems really unlikely to me. But

2399
02:04:01,960 --> 02:04:02,760
Speaker 3: that's been floated.

2400
02:04:04,720 --> 02:04:05,440
Speaker 1: That's not that wild.

2401
02:04:05,560 --> 02:04:07,440
Speaker 3: Some people, well, I don't know, I don't know.

2402
02:04:07,640 --> 02:04:11,000
Speaker 1: I just you know one time we uh killed a

2403
02:04:11,040 --> 02:04:15,720
Speaker 1: meal deer and its whole underside was totally infected and

2404
02:04:15,800 --> 02:04:18,880
Speaker 1: it was full of porcupine quills. Oh yeah, like what

2405
02:04:19,040 --> 02:04:21,919
Speaker 1: is the scenario? It was jumped, it walked over porcupine

2406
02:04:21,960 --> 02:04:25,520
Speaker 1: and the portpine fo Yeah. Probably, so just weird, you know,

2407
02:04:25,560 --> 02:04:28,200
Speaker 1: I mean, yeah, weird to only being that, like who

2408
02:04:28,240 --> 02:04:29,640
Speaker 1: knows Mayne, Yeah, I mean.

2409
02:04:29,720 --> 02:04:32,040
Speaker 3: I've seen some weird stuff out there, So yeah, you

2410
02:04:32,080 --> 02:04:35,520
Speaker 3: don't it could have been anything. But anyway, that's all

2411
02:04:35,520 --> 02:04:38,040
Speaker 3: we'll know. So she so we got a month of

2412
02:04:38,120 --> 02:04:41,720
Speaker 3: data from her and that was it. Unfortunately, I'm hoping.

2413
02:04:43,760 --> 02:04:47,880
Speaker 3: Let's see. Later that season, we caught a Lynx kitten.

2414
02:04:47,920 --> 02:04:49,480
Speaker 3: And when I say kitten, you know, it was almost

2415
02:04:49,480 --> 02:04:51,920
Speaker 3: a year old. But it was. It was too small

2416
02:04:52,000 --> 02:04:53,600
Speaker 3: to call her, so we gave it an ear tag

2417
02:04:53,840 --> 02:04:56,720
Speaker 3: and sent it on its way. I don't know for sure,

2418
02:04:56,760 --> 02:04:59,440
Speaker 3: we don't have the DNA yet, but it was in

2419
02:04:59,520 --> 02:05:03,200
Speaker 3: her zone. That may have been her kitten, and so

2420
02:05:03,240 --> 02:05:05,840
Speaker 3: it will be interesting to see if he shows up

2421
02:05:05,840 --> 02:05:08,120
Speaker 3: this winter, if he made it through you know, the

2422
02:05:08,160 --> 02:05:13,680
Speaker 3: rest of his his year having prematurely lost his mom.

2423
02:05:14,200 --> 02:05:17,040
Speaker 1: Yeah, we'll see, man, I could see that having a

2424
02:05:17,080 --> 02:05:19,720
Speaker 1: female and finding out what she does around danding season

2425
02:05:19,760 --> 02:05:20,520
Speaker 1: be cool as hell.

2426
02:05:20,600 --> 02:05:24,160
Speaker 3: Yeah, dens are Linkstons are really cool and that's what.

2427
02:05:24,320 --> 02:05:26,360
Speaker 1: They like, cracks and rocks or.

2428
02:05:26,720 --> 02:05:29,919
Speaker 3: They will use a lot of different things. They often

2429
02:05:30,680 --> 02:05:34,560
Speaker 3: are in mature forests where there's lots of down logs,

2430
02:05:34,640 --> 02:05:38,320
Speaker 3: just total jackstraw, and they'll find a gnarly spot in

2431
02:05:38,360 --> 02:05:42,120
Speaker 3: there because that's going to protect him from cougar or

2432
02:05:42,160 --> 02:05:45,760
Speaker 3: probably not cougar's but wolves. And so they'll find a

2433
02:05:45,800 --> 02:05:49,600
Speaker 3: gnarly spot in these just giant piles of logs and

2434
02:05:49,640 --> 02:05:52,879
Speaker 3: going to there. I've seen them in hollowed out stump

2435
02:05:53,520 --> 02:06:00,520
Speaker 3: rock crevices, slash piles in cut areas, upturned Well, they

2436
02:06:00,560 --> 02:06:01,880
Speaker 3: just they need a nice bit of cover.

2437
02:06:02,080 --> 02:06:04,200
Speaker 1: Yeah, cool to have that.

2438
02:06:04,640 --> 02:06:06,960
Speaker 4: Yeah, how much do they got to worry about cougars

2439
02:06:06,960 --> 02:06:07,600
Speaker 4: and wolves?

2440
02:06:07,880 --> 02:06:09,760
Speaker 3: They have to worry about cougars. Ye, they have to

2441
02:06:09,800 --> 02:06:12,880
Speaker 3: worry about cougars places where there's lots of fishers. That's

2442
02:06:12,920 --> 02:06:17,200
Speaker 3: been the mature ones I've been.

2443
02:06:17,760 --> 02:06:19,240
Speaker 1: Fisher can outduk.

2444
02:06:19,200 --> 02:06:23,320
Speaker 3: They can, I mean, come on, Yeah, they're reasels.

2445
02:06:22,840 --> 02:06:26,680
Speaker 1: Man losing a lot of respect for links. Here a fisher,

2446
02:06:26,760 --> 02:06:28,000
Speaker 1: a fisher can whoop a Lynx.

2447
02:06:29,000 --> 02:06:32,920
Speaker 3: Yeah. Yeah. I've been to several more links mortalities where

2448
02:06:32,920 --> 02:06:36,160
Speaker 3: it was a fisher and one I can remember in particular.

2449
02:06:36,240 --> 02:06:37,360
Speaker 1: They can whoop porcupine.

2450
02:06:37,640 --> 02:06:41,200
Speaker 3: Yep, so can the links or a bobcat.

2451
02:06:41,240 --> 02:06:42,200
Speaker 1: The links will be all to do it.

2452
02:06:42,560 --> 02:06:44,760
Speaker 3: Yeah, that's not a normal prey item, but they can

2453
02:06:44,880 --> 02:06:47,760
Speaker 3: do it. Yeah. I've seen where Lynx was curled up

2454
02:06:47,800 --> 02:06:49,760
Speaker 3: in the snow and then you see the fisher tracks

2455
02:06:49,760 --> 02:06:51,640
Speaker 3: come and it basically just jumped it in its bed.

2456
02:06:52,040 --> 02:06:52,520
Speaker 1: Huh.

2457
02:06:52,560 --> 02:06:56,560
Speaker 3: They are when you see them and they see links

2458
02:06:56,680 --> 02:06:59,640
Speaker 3: look big. A lot of that's just linky ness and

2459
02:06:59,680 --> 02:07:03,000
Speaker 3: there they're so fuzzy, especially in the summer. Their average

2460
02:07:03,040 --> 02:07:05,920
Speaker 3: weight is the same as a bobcat pretty much.

2461
02:07:05,960 --> 02:07:06,800
Speaker 2: They're just lankier.

2462
02:07:07,120 --> 02:07:09,880
Speaker 3: There's lankier and fuzzier.

2463
02:07:10,480 --> 02:07:12,520
Speaker 1: They look like something if it got a little bit

2464
02:07:12,520 --> 02:07:15,200
Speaker 1: of blunt force trauma, it's not gonna live. Yeah, cause

2465
02:07:15,200 --> 02:07:17,880
Speaker 1: it's just like they're like they're just so spread out

2466
02:07:17,920 --> 02:07:19,680
Speaker 1: and slender.

2467
02:07:19,200 --> 02:07:22,200
Speaker 3: And yeah, they're they're they're not meant to take a hit. Yeah,

2468
02:07:22,240 --> 02:07:24,240
Speaker 3: when you pick one up, it's like, whoa, this is

2469
02:07:24,320 --> 02:07:26,240
Speaker 3: like a little bird. I mean, they're meant to float

2470
02:07:26,320 --> 02:07:26,760
Speaker 3: on the snow.

2471
02:07:26,880 --> 02:07:30,760
Speaker 4: Yeah, they're not climbers, Like, they don't go into trees much, right.

2472
02:07:30,640 --> 02:07:33,120
Speaker 3: Don't go into trees. But it's not like a daily

2473
02:07:33,200 --> 02:07:35,840
Speaker 3: thing by any means. Yeah, Yeah, they're more of they'll

2474
02:07:35,880 --> 02:07:38,680
Speaker 3: just bed right in the snow and some cover and.

2475
02:07:38,680 --> 02:07:40,640
Speaker 1: They don't throw it. They don't throw any claw mark

2476
02:07:40,720 --> 02:07:43,240
Speaker 1: on a track, right, it's just like a regular cougar bobcat.

2477
02:07:43,280 --> 02:07:44,960
Speaker 1: Like their claws are retracted.

2478
02:07:46,200 --> 02:07:49,200
Speaker 3: Well I mean like any feelid. Yeah, they're their claws

2479
02:07:49,240 --> 02:07:52,760
Speaker 3: retract and so often most often probably you're not going

2480
02:07:52,840 --> 02:07:55,680
Speaker 3: to see their their claws register. But if they're in

2481
02:07:55,760 --> 02:07:58,880
Speaker 3: slippery substrate and they need an.

2482
02:07:58,760 --> 02:08:00,480
Speaker 1: Electra grip, they'll pull see it come out.

2483
02:08:00,480 --> 02:08:00,760
Speaker 7: Oh yeah.

2484
02:08:00,800 --> 02:08:03,000
Speaker 3: Yeah. In fact, that that track, that picture you were

2485
02:08:03,040 --> 02:08:05,960
Speaker 3: talking about earlier, where there was a snowshoe, hair tracks

2486
02:08:05,960 --> 02:08:07,720
Speaker 3: and the links going after it. It was going up

2487
02:08:07,720 --> 02:08:09,760
Speaker 3: a steep bank and you can see it's it's closed.

2488
02:08:10,800 --> 02:08:11,320
Speaker 1: Click them out.

2489
02:08:11,400 --> 02:08:14,360
Speaker 3: Yeah, it's like that guy in his toils climbing up

2490
02:08:14,760 --> 02:08:15,600
Speaker 3: John new Banks.

2491
02:08:15,680 --> 02:08:17,240
Speaker 4: Yeah.

2492
02:08:17,400 --> 02:08:28,200
Speaker 7: You use them when you need them.

2493
02:08:28,640 --> 02:08:32,800
Speaker 1: So what, uh? Where? Tell me where Home Range Wildlife is?

2494
02:08:32,880 --> 02:08:35,400
Speaker 1: Right now? So you have a nonprofit and this is

2495
02:08:35,400 --> 02:08:38,840
Speaker 1: all done as a nonprofit. The nonprofit has employees. You're

2496
02:08:38,880 --> 02:08:41,919
Speaker 1: one of the employees of nonprofit. Yeah, what is uh?

2497
02:08:42,480 --> 02:08:44,200
Speaker 1: You know, we've kind of followed you through your career

2498
02:08:44,240 --> 02:08:49,040
Speaker 1: a little bit. Yeah, are you guys like in in

2499
02:08:49,440 --> 02:08:51,880
Speaker 1: We're gonna make it? Is it? You don't know what

2500
02:08:51,960 --> 02:08:53,200
Speaker 1: you're gonna be doing in five years?

2501
02:08:54,440 --> 02:08:56,160
Speaker 3: We know what we want to be doing in five years.

2502
02:08:56,320 --> 02:08:59,960
Speaker 3: We've got, you know, all sorts of plans.

2503
02:09:00,360 --> 02:09:02,120
Speaker 1: I mean, is Home Range Wildlife viable?

2504
02:09:02,760 --> 02:09:06,760
Speaker 3: We are according to the little like non start you're

2505
02:09:06,760 --> 02:09:10,120
Speaker 3: starting a nonprofit. Take this quiz with your board to

2506
02:09:10,120 --> 02:09:14,880
Speaker 3: see where you're at you're starting. Yeah, yeah, we are

2507
02:09:14,920 --> 02:09:18,040
Speaker 3: still in the struggle phase, which basically means we are

2508
02:09:18,240 --> 02:09:21,200
Speaker 3: I mean, it's hard work. We are having to hustle

2509
02:09:21,760 --> 02:09:25,360
Speaker 3: big time. Yeah, oh yeah, big time. So we're it's

2510
02:09:25,400 --> 02:09:28,960
Speaker 3: not like we're just cruising financially. We're in the hustle phase,

2511
02:09:29,360 --> 02:09:33,760
Speaker 3: but that is not stopping us. So right now there's

2512
02:09:33,800 --> 02:09:37,839
Speaker 3: three of us that are full time, so co founder

2513
02:09:37,840 --> 02:09:45,600
Speaker 3: and I and a super badass woman who who started

2514
02:09:45,720 --> 02:09:49,480
Speaker 3: on the Links project and we've just we've kept her on. Uh.

2515
02:09:49,520 --> 02:09:52,640
Speaker 3: And then we've got seasonal texts, so we've got some

2516
02:09:52,680 --> 02:09:56,680
Speaker 3: seasonal texts. We wrap community scientists into our work, so

2517
02:09:56,720 --> 02:09:59,280
Speaker 3: we've got community scientists that will go out and help

2518
02:09:59,320 --> 02:10:02,800
Speaker 3: with the backtrack portion, so we part of the study

2519
02:10:02,880 --> 02:10:05,600
Speaker 3: is not just coloring, it's also going out and tracking

2520
02:10:05,680 --> 02:10:10,280
Speaker 3: links and recording their exact really bind scale habitat use.

2521
02:10:10,480 --> 02:10:12,720
Speaker 1: Yeah, you explain that backtracking because you don't want to

2522
02:10:12,720 --> 02:10:15,840
Speaker 1: bump them exactly. Backtracking ain't as fun as forward track.

2523
02:10:16,200 --> 02:10:19,080
Speaker 3: Well, if you're less likely to see the animal, it

2524
02:10:19,200 --> 02:10:20,520
Speaker 3: is still fun.

2525
02:10:20,880 --> 02:10:22,560
Speaker 1: Picture, but you know you kind of want to be like,

2526
02:10:22,680 --> 02:10:23,400
Speaker 1: let's just go after it.

2527
02:10:23,880 --> 02:10:26,280
Speaker 3: Yeah, well, but then we're messing up the data, right,

2528
02:10:26,560 --> 02:10:28,160
Speaker 3: and then you spook it exactly.

2529
02:10:28,800 --> 02:10:30,760
Speaker 1: It starts evading you, right.

2530
02:10:30,520 --> 02:10:32,880
Speaker 3: And so part of what we're looking at also is

2531
02:10:33,320 --> 02:10:38,120
Speaker 3: from reading the tracks what they're doing behaviorally, because that

2532
02:10:38,160 --> 02:10:41,080
Speaker 3: can help us figure out, Okay, of the habitats that

2533
02:10:41,120 --> 02:10:44,920
Speaker 3: they'll use for various things. Where are they hunting, where

2534
02:10:44,920 --> 02:10:48,200
Speaker 3: they trying to hunt, where they're actually making kills, where

2535
02:10:48,200 --> 02:10:51,400
Speaker 3: they're hunting and they're successful. That is like the best

2536
02:10:51,400 --> 02:10:51,760
Speaker 3: of the best.

2537
02:10:52,040 --> 02:10:53,600
Speaker 1: When they kill a snow issue, do they mop that

2538
02:10:53,640 --> 02:10:55,280
Speaker 1: whole thing up or do they leave something behind?

2539
02:10:55,640 --> 02:10:58,720
Speaker 3: They will usually mop it up, except maybe a foot

2540
02:10:58,800 --> 02:11:02,480
Speaker 3: or two the guts and for whatever reason, a patch

2541
02:11:02,560 --> 02:11:05,840
Speaker 3: of the of the hide from the back. And then

2542
02:11:05,840 --> 02:11:09,000
Speaker 3: I'll often have like hemorrhaging in it. You'll see where

2543
02:11:09,040 --> 02:11:13,840
Speaker 3: it was I see. Sometimes usually they'll eat it, especially

2544
02:11:13,920 --> 02:11:18,000
Speaker 3: if there's not a lot of snowshoe hairs around. They

2545
02:11:18,040 --> 02:11:21,640
Speaker 3: may cash it to save something for later, but usually

2546
02:11:21,640 --> 02:11:22,360
Speaker 3: they're just eating it.

2547
02:11:22,680 --> 02:11:24,200
Speaker 1: When you find a link scat and the winter, is

2548
02:11:24,200 --> 02:11:26,280
Speaker 1: it white because the snowshoe hair hair.

2549
02:11:27,000 --> 02:11:28,560
Speaker 3: Yeah, it has white hair in it, but it's not

2550
02:11:28,640 --> 02:11:31,160
Speaker 3: like it's still yeah still dark. Yeah, that meat, the

2551
02:11:31,200 --> 02:11:33,680
Speaker 3: meat makes a really dark scat, especially the organ.

2552
02:11:33,840 --> 02:11:35,520
Speaker 1: You'll be on the tofts. You'll see that it's white.

2553
02:11:35,600 --> 02:11:37,360
Speaker 3: Yeah, you can. If you picked it up and looked

2554
02:11:37,360 --> 02:11:38,560
Speaker 3: at it, you'd see it was white hair.

2555
02:11:38,480 --> 02:11:39,320
Speaker 1: White hair inside there.

2556
02:11:40,000 --> 02:11:42,520
Speaker 3: Yeah, a little chunks of bone, little chunks of bone

2557
02:11:43,120 --> 02:11:44,080
Speaker 3: toenails and stuff.

2558
02:11:45,120 --> 02:11:48,320
Speaker 1: So explain again where you guys are at on like

2559
02:11:48,400 --> 02:11:52,120
Speaker 1: the long term viability. You're struggling the struggle phase results

2560
02:11:52,200 --> 02:11:52,920
Speaker 1: kick out struggle.

2561
02:11:53,320 --> 02:11:56,960
Speaker 3: But I would say it's clear that we're We've got

2562
02:11:56,960 --> 02:12:04,440
Speaker 3: a lot of momentum and a lot of support from agencies,

2563
02:12:05,520 --> 02:12:10,680
Speaker 3: our community. We're partnering with the university on the project,

2564
02:12:11,080 --> 02:12:15,440
Speaker 3: so we've got a master's student on the project. But

2565
02:12:15,760 --> 02:12:18,879
Speaker 3: it's just it's hard to raise money for a nonprofit

2566
02:12:18,920 --> 02:12:22,200
Speaker 3: and we're not like the normal This isn't the normal path.

2567
02:12:22,320 --> 02:12:27,880
Speaker 3: Usually wildlife research is done by universities or the agencies,

2568
02:12:28,360 --> 02:12:30,800
Speaker 3: and so this is there are there are other organizations

2569
02:12:30,840 --> 02:12:34,360
Speaker 3: that do it, but this is somewhat unique and so

2570
02:12:35,200 --> 02:12:39,400
Speaker 3: we're really lucky that we are partnering with agencies and

2571
02:12:39,480 --> 02:12:43,160
Speaker 3: the universities. But a large part of our money also

2572
02:12:43,200 --> 02:12:47,360
Speaker 3: comes from fundraising, and so that's that's kind of a

2573
02:12:47,400 --> 02:12:47,920
Speaker 3: whole new.

2574
02:12:48,600 --> 02:12:51,400
Speaker 4: Who's using all the data you're collect Are you turning

2575
02:12:51,440 --> 02:12:53,720
Speaker 4: it over to the US Fish and Wildlife so's.

2576
02:12:53,800 --> 02:12:56,400
Speaker 3: Yeah, So that's a huge part of our mission is

2577
02:12:56,440 --> 02:13:01,240
Speaker 3: to be doing research that is address seeing what we

2578
02:13:01,280 --> 02:13:06,200
Speaker 3: see is really urgent conservation issues in our area. And

2579
02:13:06,280 --> 02:13:11,240
Speaker 3: so this whole project is geared towards having results that

2580
02:13:11,280 --> 02:13:16,280
Speaker 3: can inform land management and LINKS conservation because for LINKS,

2581
02:13:17,120 --> 02:13:20,640
Speaker 3: a large part of LINKS conservation is habitat conservation.

2582
02:13:21,040 --> 02:13:23,640
Speaker 1: But can home range wildlife exists as just a LINKS

2583
02:13:23,640 --> 02:13:25,400
Speaker 1: research org or at some point you're gonna have to

2584
02:13:25,480 --> 02:13:26,480
Speaker 1: jump into something else.

2585
02:13:27,720 --> 02:13:30,200
Speaker 3: I could. I would love to make this a really

2586
02:13:30,280 --> 02:13:32,800
Speaker 3: long term project because there's a lot of value in

2587
02:13:32,840 --> 02:13:37,480
Speaker 3: those long term data data sets. And that's also another one.

2588
02:13:37,480 --> 02:13:40,640
Speaker 3: A part another part of our values is to be

2589
02:13:40,760 --> 02:13:46,680
Speaker 3: an organization that is really boots on the ground and

2590
02:13:47,120 --> 02:13:51,120
Speaker 3: have our research and biology be really based in the

2591
02:13:52,160 --> 02:13:56,800
Speaker 3: naturalist skills that we have. This is not universally true,

2592
02:13:56,840 --> 02:14:00,840
Speaker 3: but there's a trend towards a lot more modeling and

2593
02:14:00,880 --> 02:14:05,400
Speaker 3: the sort of you know, office based research, which is

2594
02:14:05,440 --> 02:14:08,360
Speaker 3: really valuable, but it can't be at the expense of

2595
02:14:08,600 --> 02:14:12,240
Speaker 3: people who are out there on the landscape and who

2596
02:14:12,880 --> 02:14:17,520
Speaker 3: are good naturalists and who are there long term.

2597
02:14:17,640 --> 02:14:20,640
Speaker 1: Well, the model with without your work, the model is

2598
02:14:20,720 --> 02:14:23,720
Speaker 1: the modelers don't have anything to do. I mean, your

2599
02:14:23,720 --> 02:14:25,720
Speaker 1: work is what's going to tell them is the home range.

2600
02:14:25,480 --> 02:14:28,680
Speaker 3: Of a female It compliments, right, It compliments, but there's.

2601
02:14:28,480 --> 02:14:30,920
Speaker 1: Also like they have to have something to plug in.

2602
02:14:31,160 --> 02:14:32,640
Speaker 3: They have to have something to plug in. But there's

2603
02:14:32,680 --> 02:14:34,680
Speaker 3: a lot out there that can plug plug in, and

2604
02:14:34,720 --> 02:14:37,240
Speaker 3: there's a lot out there like right now, like I

2605
02:14:37,360 --> 02:14:39,600
Speaker 3: was saying, this is sort of this whole new habitat

2606
02:14:40,000 --> 02:14:43,680
Speaker 3: habitat paradigm with all the burns, and so it is

2607
02:14:43,760 --> 02:14:47,600
Speaker 3: so important that we're not only building models based on

2608
02:14:47,640 --> 02:14:49,880
Speaker 3: what we think we already know, but we're going back

2609
02:14:49,920 --> 02:14:52,920
Speaker 3: to the drawing board and learning from the landscape and

2610
02:14:52,960 --> 02:14:57,440
Speaker 3: the links and again long term, that's that's a I

2611
02:14:57,440 --> 02:14:59,840
Speaker 3: think something that's also being somewhat lost in wild life

2612
02:14:59,920 --> 02:15:02,680
Speaker 3: is there's so much turnover and people are hopping around.

2613
02:15:03,160 --> 02:15:07,200
Speaker 3: That's sort of through line for an area where you've

2614
02:15:07,200 --> 02:15:09,480
Speaker 3: got bios that have been there for decades and have

2615
02:15:09,640 --> 02:15:14,080
Speaker 3: seen changes and been noting things. We're losing that somewhat

2616
02:15:14,520 --> 02:15:16,520
Speaker 3: and we do not want to see that happen in

2617
02:15:16,560 --> 02:15:19,600
Speaker 3: the met how we're sort of the generation of biologists

2618
02:15:19,640 --> 02:15:22,480
Speaker 3: that have been there for decades and know that landscape

2619
02:15:22,480 --> 02:15:25,640
Speaker 3: intimately and have seen it change and are just good

2620
02:15:25,800 --> 02:15:29,000
Speaker 3: naturalists that like to be out there, and they're the

2621
02:15:29,000 --> 02:15:31,840
Speaker 3: ones that are going to notice I'm not hearing as

2622
02:15:31,880 --> 02:15:35,600
Speaker 3: many X y Z bird or you know, we're not.

2623
02:15:36,200 --> 02:15:39,240
Speaker 3: They're just noticing those changes. And that takes being out

2624
02:15:39,280 --> 02:15:41,800
Speaker 3: there and being there long term. And so that's what

2625
02:15:41,800 --> 02:15:44,440
Speaker 3: we want home range to be because we're losing some

2626
02:15:44,560 --> 02:15:48,040
Speaker 3: of these these long term bios. They're retiring, and so

2627
02:15:48,600 --> 02:15:50,920
Speaker 3: we want to make sure that there's somebody always watching

2628
02:15:50,960 --> 02:15:51,680
Speaker 3: there in the value.

2629
02:15:52,280 --> 02:15:54,360
Speaker 1: You know what I could use some help with. I

2630
02:15:54,400 --> 02:15:57,880
Speaker 1: was telling you, Mike Gright before we started recording. They

2631
02:15:57,920 --> 02:16:02,800
Speaker 1: have everything south of us. They have as this Lynx

2632
02:16:02,840 --> 02:16:07,680
Speaker 1: recovery area, okay, and there's all these separate trapping regulations

2633
02:16:07,680 --> 02:16:11,040
Speaker 1: in the Links recovery area. Now, I've had furbear biologists

2634
02:16:11,080 --> 02:16:13,560
Speaker 1: tell me that most of the stuff in the Lynx

2635
02:16:13,600 --> 02:16:16,400
Speaker 1: recovery area has never had a lynx and never will

2636
02:16:16,440 --> 02:16:20,080
Speaker 1: have a lynx. It's completely wrong. Habitat.

2637
02:16:21,160 --> 02:16:26,360
Speaker 3: Are you talking about like Yellowstone that area that well, no,

2638
02:16:26,400 --> 02:16:27,720
Speaker 3: it's everything around that.

2639
02:16:27,600 --> 02:16:35,120
Speaker 1: It's huge, everything south of town everything, Okay. A friend

2640
02:16:35,120 --> 02:16:36,480
Speaker 1: of mine in the four Service who's doing a lot

2641
02:16:36,480 --> 02:16:39,480
Speaker 1: of Links work, he even said, you know, our understanding

2642
02:16:39,520 --> 02:16:43,600
Speaker 1: of what Link's habitat is has gotten very refined since

2643
02:16:43,640 --> 02:16:46,440
Speaker 1: that went into effect. He pictures sometimes down the road

2644
02:16:47,120 --> 02:16:49,800
Speaker 1: that could be eased up because it's just not representative

2645
02:16:49,760 --> 02:16:52,240
Speaker 1: of Link's habitat. He said. If they go to do that,

2646
02:16:52,240 --> 02:16:54,760
Speaker 1: that'll get the hell litigated out of it. When they

2647
02:16:54,800 --> 02:16:56,680
Speaker 1: come out and say, you know what, we were wrong.

2648
02:16:56,959 --> 02:16:59,520
Speaker 1: This is Link's habitat, that's not Link's habitat. It'll get

2649
02:16:59,560 --> 02:17:03,560
Speaker 1: litigated because people will want to keep restrictions in place.

2650
02:17:05,040 --> 02:17:09,080
Speaker 1: The debate will get weaponized. I would love if you

2651
02:17:09,120 --> 02:17:12,600
Speaker 1: guys came in collared a couple links so people could

2652
02:17:12,600 --> 02:17:15,640
Speaker 1: see where they hang out and where they don't because

2653
02:17:15,640 --> 02:17:19,680
Speaker 1: they're not down in the juniper in rock piles. Yeah

2654
02:17:20,160 --> 02:17:20,920
Speaker 1: you agree or don't?

2655
02:17:21,040 --> 02:17:23,879
Speaker 3: I mean, let me explain that with a little more nuance.

2656
02:17:24,240 --> 02:17:26,080
Speaker 1: So links, we'll, kay, I give you one more tidbit,

2657
02:17:26,200 --> 02:17:28,160
Speaker 1: let's get it. I have a friend who's a lion hunter.

2658
02:17:28,200 --> 02:17:31,480
Speaker 1: He's been hunting lions here twenty years. Okay, hunts all

2659
02:17:31,480 --> 02:17:34,080
Speaker 1: over the state in twenty years. He's yet to cut

2660
02:17:34,080 --> 02:17:36,040
Speaker 1: a LINKS track in this area.

2661
02:17:36,200 --> 02:17:36,480
Speaker 3: Yeah.

2662
02:17:36,560 --> 02:17:38,880
Speaker 1: Now, unless you think he doesn't think there's any links.

2663
02:17:39,240 --> 02:17:42,240
Speaker 1: When he goes to Region one, he sees more LINKS

2664
02:17:42,320 --> 02:17:45,600
Speaker 1: tracks than bobcats and mountain lions. Combined. So this is

2665
02:17:45,640 --> 02:17:47,480
Speaker 1: not a guy that doesn't say there's no links tracks.

2666
02:17:47,480 --> 02:17:50,520
Speaker 1: He's like, the Links Recovery area ain't got links.

2667
02:17:50,760 --> 02:17:51,160
Speaker 4: Yeah.

2668
02:17:51,360 --> 02:17:55,080
Speaker 3: So I was talking earlier that there's five populations. There's

2669
02:17:55,120 --> 02:18:00,440
Speaker 3: six areas that have been designated as by Vision wild

2670
02:18:00,440 --> 02:18:04,560
Speaker 3: Life Services critical habitat, and that one is not. There's

2671
02:18:04,680 --> 02:18:08,160
Speaker 3: not a known population there. Now there have been intermittent sightings,

2672
02:18:08,200 --> 02:18:10,720
Speaker 3: you know, but there's not a known breeding population there.

2673
02:18:13,000 --> 02:18:16,840
Speaker 3: It's possible that in the future there could be. It's possible.

2674
02:18:17,400 --> 02:18:24,560
Speaker 3: The other thing is that wild links are fairly specialized

2675
02:18:24,640 --> 02:18:29,920
Speaker 3: in their habitat, meaning boreal forest. They move so much

2676
02:18:30,440 --> 02:18:36,040
Speaker 3: that they'll they'll use just about anything to move through. So,

2677
02:18:36,240 --> 02:18:38,720
Speaker 3: I mean, I'm not a land manager down there. I

2678
02:18:38,760 --> 02:18:40,520
Speaker 3: don't know the area and all that, so I can't

2679
02:18:40,560 --> 02:18:42,200
Speaker 3: say too much about it, but I.

2680
02:18:42,120 --> 02:18:44,280
Speaker 1: Could say this. I could say, Hey, you shouldn't be

2681
02:18:44,280 --> 02:18:47,920
Speaker 1: able to set certain kind of traps because little children

2682
02:18:48,280 --> 02:18:52,160
Speaker 1: generally aren't lost. But a little child could get lost anywhere,

2683
02:18:52,720 --> 02:18:54,800
Speaker 1: and you shouldn't have that set because how can we

2684
02:18:54,840 --> 02:18:57,600
Speaker 1: say that a little child wouldn't get lost and get

2685
02:18:57,600 --> 02:19:00,720
Speaker 1: caught in that set. I don't know. Maybe I've heard

2686
02:19:00,720 --> 02:19:02,000
Speaker 1: of little children getting lost.

2687
02:19:02,200 --> 02:19:04,480
Speaker 3: Yeah, I don't know. You have to take it up

2688
02:19:04,520 --> 02:19:05,560
Speaker 3: with fish and wildlife.

2689
02:19:05,879 --> 02:19:07,560
Speaker 1: That's no, I'm taking that with you because you got

2690
02:19:07,560 --> 02:19:09,760
Speaker 1: to go collar some links and even though there aren't

2691
02:19:09,760 --> 02:19:12,520
Speaker 1: you there, maybe cut one loose and see what it does.

2692
02:19:13,800 --> 02:19:16,800
Speaker 3: All right, I'll try trapping anywhere.

2693
02:19:17,600 --> 02:19:21,000
Speaker 1: That's all, Okay, good? This is I have a huge

2694
02:19:21,000 --> 02:19:24,120
Speaker 1: list of gripes that I'd like to get addressed. This

2695
02:19:24,280 --> 02:19:28,720
Speaker 1: is like low you know. My first one is Universal

2696
02:19:28,760 --> 02:19:31,920
Speaker 1: Hunter's orange policy. Just a hat somewhere below that is

2697
02:19:31,920 --> 02:19:34,400
Speaker 1: his links for covering unit issue. But it's some day.

2698
02:19:34,440 --> 02:19:36,040
Speaker 1: I'm going to get to all this. All right, I'm

2699
02:19:36,080 --> 02:19:36,640
Speaker 1: going to take it up.

2700
02:19:37,400 --> 02:19:37,960
Speaker 5: Look for your letter.

2701
02:19:42,200 --> 02:19:43,840
Speaker 1: I have a problem. I think I know where that

2702
02:19:43,879 --> 02:19:47,760
Speaker 1: letter is going to wind up. Where's the recycling been?

2703
02:19:49,360 --> 02:19:49,600
Speaker 3: No?

2704
02:19:50,000 --> 02:19:52,400
Speaker 1: How do people find you and support your organization? I

2705
02:19:52,400 --> 02:19:54,440
Speaker 1: love I love what you guys doing. You know, it's

2706
02:19:54,520 --> 02:19:57,520
Speaker 1: like and it really resonates with listeners who love it

2707
02:19:57,560 --> 02:20:00,000
Speaker 1: that people are out on the land, find it out

2708
02:20:00,400 --> 02:20:04,440
Speaker 1: studying wildlife. Right, everybody's got their like myths about stuff

2709
02:20:04,480 --> 02:20:07,120
Speaker 1: and what lives were and what don't live where, and

2710
02:20:07,160 --> 02:20:09,600
Speaker 1: to have someone come and say here's what lives there

2711
02:20:09,640 --> 02:20:12,280
Speaker 1: here's how many, here's what they do. It's valuable. Yeah,

2712
02:20:12,360 --> 02:20:14,640
Speaker 1: I mean it's information, right, yeah, like real.

2713
02:20:14,480 --> 02:20:20,360
Speaker 3: Information exactly, and it's well. Yeah, So the work that

2714
02:20:20,400 --> 02:20:24,600
Speaker 3: we do is research, and so that I think sometimes

2715
02:20:24,720 --> 02:20:28,199
Speaker 3: is hard for the broader public to connect with because

2716
02:20:28,200 --> 02:20:32,880
Speaker 3: it doesn't feel like I'm directly this organization is directly

2717
02:20:33,000 --> 02:20:37,640
Speaker 3: helping that animal. We're doing the research. That's one step,

2718
02:20:37,680 --> 02:20:41,119
Speaker 3: but a really important step in knowing how to manage

2719
02:20:41,120 --> 02:20:46,080
Speaker 3: and conserve species. That's slightly more abstract. But I feel

2720
02:20:46,160 --> 02:20:49,840
Speaker 3: like in my short experience running a nonprofit that and

2721
02:20:50,200 --> 02:20:55,320
Speaker 3: after last year's experience with doing the Traffic Cat fundraiser

2722
02:20:55,360 --> 02:20:59,520
Speaker 3: with you, I feel like I just have so much

2723
02:21:00,640 --> 02:21:04,880
Speaker 3: gratitude for the hunting and fishing community because I feel

2724
02:21:04,879 --> 02:21:09,800
Speaker 3: like you guys get it, and that that fundraiser was

2725
02:21:09,879 --> 02:21:17,720
Speaker 3: such a success because people really put out and saved us.

2726
02:21:18,080 --> 02:21:22,320
Speaker 3: You guys really saved us last year from having just

2727
02:21:23,000 --> 02:21:26,120
Speaker 3: her old ass LEDs just completely die and that would

2728
02:21:26,160 --> 02:21:30,560
Speaker 3: just shut us down. That's such crux equipment. And so

2729
02:21:30,640 --> 02:21:36,920
Speaker 3: the fact that this audience just gets that research and

2730
02:21:37,040 --> 02:21:42,400
Speaker 3: learning about wildlife populations and managing the populations is really valuable,

2731
02:21:42,879 --> 02:21:45,240
Speaker 3: not just saving an individual animal.

2732
02:21:46,320 --> 02:21:46,400
Speaker 2: Is.

2733
02:21:47,720 --> 02:21:49,600
Speaker 3: That just gives me a lot of hope that there's

2734
02:21:49,720 --> 02:21:51,840
Speaker 3: there's this audience that really understands that.

2735
02:21:52,160 --> 02:21:54,760
Speaker 1: Can I tell you something. My brother, who's a he's

2736
02:21:54,800 --> 02:21:57,680
Speaker 1: a fisheries researcher in Alaska told me he was one

2737
02:21:57,720 --> 02:22:00,360
Speaker 1: time describing me the difference between Alaska and the Lower

2738
02:22:00,400 --> 02:22:04,800
Speaker 1: forty eight, as he said, in the Lower forty eight,

2739
02:22:06,360 --> 02:22:11,160
Speaker 1: you're kind of you're in conservation phase, preservation phase, right,

2740
02:22:12,080 --> 02:22:13,600
Speaker 1: he said. One of the things that makes me in

2741
02:22:13,640 --> 02:22:18,600
Speaker 1: research and Alaska different is we're still in how discovery

2742
02:22:18,600 --> 02:22:23,280
Speaker 1: phase in a lot of ways, like where are sam

2743
02:22:23,320 --> 02:22:25,040
Speaker 1: you know, you know, like where are salmon? How many

2744
02:22:25,080 --> 02:22:27,280
Speaker 1: salmon are there? You know? What are these things doing?

2745
02:22:27,680 --> 02:22:28,000
Speaker 3: Yeah?

2746
02:22:28,040 --> 02:22:32,360
Speaker 1: And what's cool is you're in a case of you're

2747
02:22:32,400 --> 02:22:37,360
Speaker 1: facilitating discovery. Right. It's like there's this thing, there's this

2748
02:22:37,400 --> 02:22:39,800
Speaker 1: cat that lives here. How many I don't know, where

2749
02:22:39,840 --> 02:22:41,000
Speaker 1: do they live? I don't know, how do they use

2750
02:22:41,040 --> 02:22:43,760
Speaker 1: a landscape? I don't know. It's like discovery science, right,

2751
02:22:43,879 --> 02:22:49,120
Speaker 1: it's not sort of you know, it's not specifically saving something.

2752
02:22:49,160 --> 02:22:51,960
Speaker 1: It's just trying to like understand our world, you know.

2753
02:22:52,040 --> 02:22:54,160
Speaker 3: But I would I mean, I would say, especially in

2754
02:22:54,200 --> 02:22:56,800
Speaker 3: this case, it is how do we save this species?

2755
02:22:57,120 --> 02:23:00,480
Speaker 1: It leads to that. Yeah, it leads to that. Granted

2756
02:23:00,480 --> 02:23:02,039
Speaker 1: I'm not trying to blittle it, but I'm saying it's

2757
02:23:02,080 --> 02:23:05,720
Speaker 1: like you're discovering things about right, You're discovering about how

2758
02:23:05,800 --> 02:23:07,560
Speaker 1: animals relate to their environment.

2759
02:23:07,680 --> 02:23:08,480
Speaker 3: Yeah, that's true.

2760
02:23:08,520 --> 02:23:09,120
Speaker 2: It is. It's this.

2761
02:23:09,400 --> 02:23:11,520
Speaker 3: Yeah, things have changed out there in the last twenty years,

2762
02:23:11,560 --> 02:23:13,119
Speaker 3: and so we're trying to catch up and learn that.

2763
02:23:13,320 --> 02:23:15,440
Speaker 4: As far as saving them goes, if you had to

2764
02:23:15,480 --> 02:23:19,080
Speaker 4: make a prediction like state of the links in the

2765
02:23:19,080 --> 02:23:22,320
Speaker 4: lower forty eight whatever, like twenty years or fifty years,

2766
02:23:22,360 --> 02:23:25,920
Speaker 4: like what would you be comfortable saying like.

2767
02:23:25,959 --> 02:23:28,480
Speaker 1: They needed to burn more stuff in two thousand and six.

2768
02:23:28,440 --> 02:23:32,000
Speaker 4: Like are they gonna? Are they doing well? Is it

2769
02:23:32,080 --> 02:23:32,720
Speaker 4: bad news?

2770
02:23:32,800 --> 02:23:33,600
Speaker 2: Is it good news?

2771
02:23:33,640 --> 02:23:36,720
Speaker 3: It all depends on what we do. If we do nothing,

2772
02:23:37,080 --> 02:23:40,640
Speaker 3: it's not looking great. Especially for Washington, it is not

2773
02:23:40,720 --> 02:23:44,280
Speaker 3: looking great. Yeah, because of these I mean these just

2774
02:23:44,360 --> 02:23:47,520
Speaker 3: sweeping fires are just The worry is that they burn

2775
02:23:48,800 --> 02:23:53,439
Speaker 3: enough in a short enough time frame. Then that's skewing

2776
02:23:53,480 --> 02:23:57,840
Speaker 3: the landscape towards that recently burned there's not much of

2777
02:23:57,840 --> 02:24:02,520
Speaker 3: that structure that we need type of landscape. Whereas if

2778
02:24:02,520 --> 02:24:06,640
Speaker 3: we can just have patches that burn here, patches that

2779
02:24:06,680 --> 02:24:09,520
Speaker 3: burn here, then you've always got some of something out there,

2780
02:24:10,120 --> 02:24:15,160
Speaker 3: and you've got enough of that structure, that forest structure

2781
02:24:15,200 --> 02:24:17,520
Speaker 3: that links and hairs need that you're supporting the population,

2782
02:24:17,879 --> 02:24:21,240
Speaker 3: but you've got enough burning going on that you are

2783
02:24:21,680 --> 02:24:26,160
Speaker 3: reinstilling some resilience onto that landscape because all those those

2784
02:24:26,160 --> 02:24:29,800
Speaker 3: little burns are acting like little speed bumps for subsequent fires.

2785
02:24:30,240 --> 02:24:34,120
Speaker 3: And so if we can figure out ways to if

2786
02:24:34,160 --> 02:24:36,960
Speaker 3: we understand how links use burned habitat, then we know

2787
02:24:37,440 --> 02:24:41,039
Speaker 3: how much of that they need and how much we

2788
02:24:41,160 --> 02:24:48,520
Speaker 3: can spare for reinstilling that resilience to fire or yeah,

2789
02:24:48,560 --> 02:24:51,680
Speaker 3: because it's it feels like opposing objectives when you talk

2790
02:24:51,680 --> 02:24:54,920
Speaker 3: about conserving links habitat because they need that thick forest.

2791
02:24:55,280 --> 02:24:57,199
Speaker 3: That's a lot of fuels. And so when you're trying

2792
02:24:57,240 --> 02:25:01,560
Speaker 3: to trying to save links habitat that short term while

2793
02:25:01,600 --> 02:25:05,000
Speaker 3: simultaneously slow fires just for the ecology of the area

2794
02:25:05,920 --> 02:25:09,080
Speaker 3: to bring that that that fire resiliency back and to

2795
02:25:09,120 --> 02:25:12,200
Speaker 3: save links habitat over the long term, it feels like

2796
02:25:12,280 --> 02:25:14,120
Speaker 3: you're in a rock and a hard place. But if

2797
02:25:14,120 --> 02:25:16,280
Speaker 3: we can find that sweet spot where we've got enough

2798
02:25:16,280 --> 02:25:19,720
Speaker 3: habitat for links now and we've got enough firebreak and

2799
02:25:20,600 --> 02:25:23,320
Speaker 3: resiliency out there to save it long term, Well, then

2800
02:25:23,360 --> 02:25:25,000
Speaker 3: that's going to be progress for Links.

2801
02:25:25,560 --> 02:25:26,800
Speaker 2: Yeah.

2802
02:25:27,560 --> 02:25:30,600
Speaker 1: Uh. Back to how people can find out information and

2803
02:25:30,680 --> 02:25:33,440
Speaker 1: be supportive. We got the traffic cat thing.

2804
02:25:33,400 --> 02:25:36,120
Speaker 3: Well hell yeah yeah. Well so if you want to

2805
02:25:36,160 --> 02:25:38,440
Speaker 3: find out more just about home range in general, and

2806
02:25:38,560 --> 02:25:40,840
Speaker 3: like I said, we've got we've got this research, but

2807
02:25:40,920 --> 02:25:46,279
Speaker 3: we also want to help address the issue in wildlife

2808
02:25:46,600 --> 02:25:51,160
Speaker 3: research where young, you know, new biologists are sort of

2809
02:25:52,200 --> 02:25:54,039
Speaker 3: a lot of the culture of this field is that

2810
02:25:54,080 --> 02:25:56,520
Speaker 3: you just sort of get thrown out there and you're

2811
02:25:56,560 --> 02:25:59,000
Speaker 3: having to learn on the job, and that does a

2812
02:25:59,000 --> 02:26:02,320
Speaker 3: couple of things. It's not safe. It's often costing a

2813
02:26:02,360 --> 02:26:06,880
Speaker 3: project equipment because you're out there snowmobiling and trying to

2814
02:26:06,959 --> 02:26:08,840
Speaker 3: keep up with the rest of the crew and you've

2815
02:26:08,840 --> 02:26:11,640
Speaker 3: never done it and you're just more likely to wreck

2816
02:26:11,760 --> 02:26:14,280
Speaker 3: things like that. So that's safety and equipment, and it

2817
02:26:14,400 --> 02:26:16,360
Speaker 3: means if you're trying to learn just how to do

2818
02:26:16,400 --> 02:26:21,080
Speaker 3: the basic skills, then you're you're not maximizing how much

2819
02:26:21,160 --> 02:26:22,440
Speaker 3: data you're getting in and it's not going to be

2820
02:26:22,440 --> 02:26:24,920
Speaker 3: as quality. So we're trying to offer or we are

2821
02:26:24,959 --> 02:26:29,400
Speaker 3: offering field skills courses and so those are offered in

2822
02:26:29,440 --> 02:26:34,080
Speaker 3: the summer and they're they're really cool. They're mammals focused

2823
02:26:34,160 --> 02:26:36,160
Speaker 3: right now. But for example, you can sign up for

2824
02:26:36,160 --> 02:26:38,119
Speaker 3: a course where you're doing everything from how to set

2825
02:26:38,160 --> 02:26:43,520
Speaker 3: cameras to mammal or any animal track and sign. That's

2826
02:26:43,560 --> 02:26:47,119
Speaker 3: such an important skill, just being able to read animals

2827
02:26:47,160 --> 02:26:52,520
Speaker 3: sign and the tracks and knowing your scat things like that.

2828
02:26:53,120 --> 02:26:55,840
Speaker 3: Oh it's yeah, I love.

2829
02:26:56,480 --> 02:27:01,120
Speaker 1: One of our guys of visual identification of no any

2830
02:27:01,320 --> 02:27:02,000
Speaker 1: just animals.

2831
02:27:02,040 --> 02:27:07,520
Speaker 3: Animals. We're starting there. Okay, that's doable, and then that

2832
02:27:07,520 --> 02:27:10,920
Speaker 3: that session culminates with we get road killed deer and

2833
02:27:10,959 --> 02:27:14,720
Speaker 3: we mock up mortality sites from different predators. Because a

2834
02:27:14,720 --> 02:27:16,800
Speaker 3: lot of mammals, there's a lot of work in research

2835
02:27:16,840 --> 02:27:20,280
Speaker 3: that involves being able to go to a mortality site

2836
02:27:20,360 --> 02:27:22,640
Speaker 3: or kill site and know what happened, who killed it,

2837
02:27:22,680 --> 02:27:23,480
Speaker 3: all that sort of stuff.

2838
02:27:23,480 --> 02:27:25,840
Speaker 1: Do you guys do snowmobile recovery and stuff like that too.

2839
02:27:26,120 --> 02:27:29,879
Speaker 3: We've done a winter skills course that had snowmobiling, trailering,

2840
02:27:30,080 --> 02:27:33,120
Speaker 3: avalanche awareness, that sort of thing really, and then we're

2841
02:27:33,120 --> 02:27:38,320
Speaker 3: doing a a trapping course coupled with a chemical immobilization,

2842
02:27:38,440 --> 02:27:40,199
Speaker 3: so all that drug stuff that we were talking about.

2843
02:27:40,240 --> 02:27:42,760
Speaker 1: Yeah, yeah, small classes, I'm going.

2844
02:27:42,840 --> 02:27:46,640
Speaker 3: Yeah, yeah about you know, ten to twenty people. So

2845
02:27:46,680 --> 02:27:49,280
Speaker 3: those those are a way that people can learn those

2846
02:27:49,320 --> 02:27:50,640
Speaker 3: skills before they're on the job.

2847
02:27:50,680 --> 02:27:53,080
Speaker 1: And have you had agencies send out students ever.

2848
02:27:53,160 --> 02:27:55,480
Speaker 3: Yeah really yeah, yeah, we've had everything from you.

2849
02:27:55,520 --> 02:27:57,080
Speaker 1: Guys, probably got a lot to teach. When it comes

2850
02:27:57,120 --> 02:28:03,240
Speaker 1: to the wintertime, like time trapping, winter time, snowmobiling, when

2851
02:28:03,400 --> 02:28:06,360
Speaker 1: time survival. Yeah, it's just it's like an arena of

2852
02:28:06,440 --> 02:28:07,640
Speaker 1: consequence in the mountains.

2853
02:28:07,720 --> 02:28:09,360
Speaker 3: Yeah, it really is. Yeah.

2854
02:28:09,440 --> 02:28:10,600
Speaker 1: Yeah, stuff can go bad.

2855
02:28:10,720 --> 02:28:15,840
Speaker 3: Oh yeah quick, yep, real quick. So anyway, so there's

2856
02:28:15,840 --> 02:28:17,960
Speaker 3: that sort of education part, and then we've also got

2857
02:28:18,200 --> 02:28:23,480
Speaker 3: our community science angle, which is sort of built around

2858
02:28:23,680 --> 02:28:27,320
Speaker 3: the knowledge that we can do all this research, but

2859
02:28:27,400 --> 02:28:30,040
Speaker 3: if we're not communicating it to the public, especially the

2860
02:28:30,080 --> 02:28:32,400
Speaker 3: communities that are going to be impacted by any possible

2861
02:28:32,480 --> 02:28:37,080
Speaker 3: management outcomes, If people don't understand and support it, then

2862
02:28:37,959 --> 02:28:41,560
Speaker 3: that's going to really decrease what you can do out

2863
02:28:41,560 --> 02:28:43,600
Speaker 3: there as far as management and conservation. So we want

2864
02:28:43,600 --> 02:28:46,560
Speaker 3: people to understand what we're doing and to sort of

2865
02:28:46,560 --> 02:28:49,320
Speaker 3: help facilitate that. We've got like a bear co existence

2866
02:28:49,360 --> 02:28:52,160
Speaker 3: program and some research going on that community scientists are

2867
02:28:52,200 --> 02:28:54,640
Speaker 3: helping with. So we've got kind of those three different prongs.

2868
02:28:55,360 --> 02:28:56,800
Speaker 3: All that is to say, if you want to learn

2869
02:28:56,840 --> 02:28:59,879
Speaker 3: more about that, you can go to home range dot org.

2870
02:29:00,360 --> 02:29:03,000
Speaker 3: All right, and we have an Instagram which is home

2871
02:29:03,080 --> 02:29:07,920
Speaker 3: range Wildlife Dot or is there a dot? I don't

2872
02:29:07,920 --> 02:29:08,720
Speaker 3: know home.

2873
02:29:08,680 --> 02:29:10,879
Speaker 1: Range Wildlife you'll find it. Yeah, and then are you

2874
02:29:11,640 --> 02:29:15,840
Speaker 1: to explain for the last thing, explain traffic Cat And yeah, So.

2875
02:29:15,760 --> 02:29:19,640
Speaker 3: I eluded it because I'm it was. It saved our

2876
02:29:19,680 --> 02:29:22,960
Speaker 3: asses last year, and I am so grateful that this

2877
02:29:23,160 --> 02:29:27,680
Speaker 3: community gets it. So we've got a fundraiser and we're

2878
02:29:27,720 --> 02:29:30,080
Speaker 3: doing it again. A because it's super fun and b

2879
02:29:30,360 --> 02:29:35,720
Speaker 3: because we find ourselves again with some desperate needs. People

2880
02:29:35,760 --> 02:29:39,000
Speaker 3: who hunt and fish know how important equipment is and

2881
02:29:39,040 --> 02:29:42,280
Speaker 3: how fast it can break down when you're using it hard,

2882
02:29:42,640 --> 02:29:45,520
Speaker 3: and we use our equipment really hard. Just as an example, we,

2883
02:29:46,080 --> 02:29:48,920
Speaker 3: because of traffic Cat, bought two new snowmobiles last year.

2884
02:29:49,120 --> 02:29:52,520
Speaker 3: That meant we weren't riding twenty year old held together

2885
02:29:52,560 --> 02:29:56,280
Speaker 3: with baling twine and duct tape snowmobiles and we were

2886
02:29:56,360 --> 02:29:59,200
Speaker 3: using two new snowmobiles. And that just that is that

2887
02:29:59,280 --> 02:30:01,320
Speaker 3: is everything being able to get out there in the winter.

2888
02:30:02,520 --> 02:30:04,360
Speaker 3: We had those for one month and they each have

2889
02:30:05,480 --> 02:30:09,199
Speaker 3: two thousand miles on them, so they're getting a lot

2890
02:30:09,240 --> 02:30:13,960
Speaker 3: of use. So we're thinking ahead about just our fleet

2891
02:30:14,040 --> 02:30:17,039
Speaker 3: management and that this year a loan, those sleds are

2892
02:30:17,080 --> 02:30:21,120
Speaker 3: going to get another six thousand miles on them. But

2893
02:30:21,240 --> 02:30:25,240
Speaker 3: we've also expanded our crew and so some of our

2894
02:30:25,240 --> 02:30:28,200
Speaker 3: crew is back to using the old sleds and I'm

2895
02:30:28,240 --> 02:30:32,000
Speaker 3: just sort of crossing my fingers every day that nothing

2896
02:30:32,040 --> 02:30:35,879
Speaker 3: happens there, and so we desperately need a new sled

2897
02:30:36,000 --> 02:30:39,040
Speaker 3: so that it's the backtracking crew that we've got a

2898
02:30:39,040 --> 02:30:41,360
Speaker 3: separate crew that's in charge of the tracking so that

2899
02:30:41,400 --> 02:30:46,840
Speaker 3: they're not fifty miles out and having a snowmobile issue.

2900
02:30:47,000 --> 02:30:50,840
Speaker 3: Not only would that be a bad day, but then

2901
02:30:50,879 --> 02:30:53,959
Speaker 3: that part of the study just kind of shuts down.

2902
02:30:54,600 --> 02:30:57,879
Speaker 3: That's how important these are. We also find ourselves happily

2903
02:30:58,200 --> 02:31:01,240
Speaker 3: in need of more callers. You're going into this, we

2904
02:31:01,320 --> 02:31:06,560
Speaker 3: thought maybe we'll catch one links this season, maybe we'll

2905
02:31:06,560 --> 02:31:10,080
Speaker 3: catch two. Well, now we've deployed all four of those callers,

2906
02:31:10,520 --> 02:31:13,680
Speaker 3: and we know that there are more links that we

2907
02:31:13,720 --> 02:31:16,520
Speaker 3: had hoped living in our study area, and so we

2908
02:31:16,640 --> 02:31:20,480
Speaker 3: need more callers because more callers more information. It just

2909
02:31:20,560 --> 02:31:23,320
Speaker 3: makes the study that much more confident in what we

2910
02:31:23,320 --> 02:31:25,640
Speaker 3: can say. We just we every one of these callers

2911
02:31:25,640 --> 02:31:28,720
Speaker 3: we learned so freaking much from so we need to

2912
02:31:28,760 --> 02:31:32,640
Speaker 3: get more callers. Our trailer is a sad story. That

2913
02:31:32,680 --> 02:31:34,600
Speaker 3: thing's falling apart. I mean, it's just it's just this

2914
02:31:34,760 --> 02:31:37,520
Speaker 3: basic equipment that allows us to do what we can

2915
02:31:37,560 --> 02:31:40,680
Speaker 3: do and gets us the information that we need that

2916
02:31:40,720 --> 02:31:44,600
Speaker 3: we find ourselves needing to fundraise again. And so we're

2917
02:31:44,879 --> 02:31:51,720
Speaker 3: we're redoing Traffic cat. The game here is that over

2918
02:31:51,760 --> 02:31:54,760
Speaker 3: the next three months of our trapping season, so we'll

2919
02:31:54,840 --> 02:31:59,200
Speaker 3: be trapping starting well today, they're out there checking our

2920
02:31:59,240 --> 02:32:07,160
Speaker 3: first bait. Through March, we'll be trapping where if you,

2921
02:32:07,400 --> 02:32:10,760
Speaker 3: let's see, for every one hundred dollars that you donate

2922
02:32:10,800 --> 02:32:14,160
Speaker 3: to Trafficict, you get a trap set in your name,

2923
02:32:14,400 --> 02:32:16,760
Speaker 3: and we'll keep track of all that you get that

2924
02:32:16,840 --> 02:32:20,119
Speaker 3: trap set, and then throughout our season you'll be getting

2925
02:32:20,360 --> 02:32:24,680
Speaker 3: like behind the scenes content and so every week we'll

2926
02:32:24,720 --> 02:32:26,680
Speaker 3: be sending out videos and stuff of just what it's

2927
02:32:26,720 --> 02:32:31,080
Speaker 3: like on the trap line, any cool camera footage that

2928
02:32:31,080 --> 02:32:34,160
Speaker 3: we get, stuff like that and that's super fun. Then

2929
02:32:34,440 --> 02:32:41,680
Speaker 3: if your set catches the links, you win fame and glory.

2930
02:32:42,200 --> 02:32:46,840
Speaker 3: We're gonna have two hundred and fifty dollars first Light

2931
02:32:47,120 --> 02:32:52,920
Speaker 3: Gift Certificate and Steven Manila will announce winners on his

2932
02:32:53,000 --> 02:32:55,320
Speaker 3: social media will announce it. That's where you'll get your

2933
02:32:55,360 --> 02:32:58,120
Speaker 3: fame and so it's it's pretty cool.

2934
02:32:58,200 --> 02:33:01,600
Speaker 1: Oh and I'll send you a video. It'd be like,

2935
02:33:01,600 --> 02:33:03,879
Speaker 1: what's that service that they have where you send videos?

2936
02:33:03,879 --> 02:33:04,320
Speaker 1: You buy them?

2937
02:33:04,360 --> 02:33:04,760
Speaker 2: Cameo?

2938
02:33:04,920 --> 02:33:07,200
Speaker 1: Cameo. Yeah, you know, dude, the guy what's the name

2939
02:33:07,200 --> 02:33:10,720
Speaker 1: for New York Congress Santos? Santos got voted out and

2940
02:33:10,720 --> 02:33:14,360
Speaker 1: the next day it turns up on Cameo. It's a

2941
02:33:14,360 --> 02:33:16,760
Speaker 1: good it's a good grift if you can get it.

2942
02:33:16,840 --> 02:33:18,760
Speaker 1: I'm not on Cameo, but I'll send them a video.

2943
02:33:18,760 --> 02:33:20,440
Speaker 1: I'll be like, hey, thanks someone that.

2944
02:33:20,600 --> 02:33:24,640
Speaker 3: Okay, there you go, folks. How cool is that?

2945
02:33:24,879 --> 02:33:26,680
Speaker 1: Soethill record perfect.

2946
02:33:27,400 --> 02:33:30,520
Speaker 3: The other cool thing we've got this year, we've got

2947
02:33:30,680 --> 02:33:34,199
Speaker 3: little in pats that we can make a pop print

2948
02:33:34,240 --> 02:33:35,400
Speaker 3: from the from the.

2949
02:33:35,560 --> 02:33:36,920
Speaker 1: Oh really yeah you can?

2950
02:33:37,360 --> 02:33:41,039
Speaker 3: Yeah that's great, man, which is mostly just gonna look

2951
02:33:41,080 --> 02:33:42,560
Speaker 3: like a fuzzy mitten.

2952
02:33:42,760 --> 02:33:45,440
Speaker 1: But Spencer can get that tattooed on him, then there

2953
02:33:45,480 --> 02:33:49,080
Speaker 1: we go. He's like looking for something to get tattooed.

2954
02:33:49,120 --> 02:33:52,480
Speaker 3: Yeah, I get a links pop friend. Yeah. So winning's fun.

2955
02:33:52,560 --> 02:33:54,760
Speaker 3: It makes a really cool gift. We had a lot

2956
02:33:54,800 --> 02:33:57,600
Speaker 3: of people getting it for their kids and it just

2957
02:33:57,959 --> 02:34:05,879
Speaker 3: it It means so much for our project, and it's yeah,

2958
02:34:06,080 --> 02:34:10,680
Speaker 3: we we rely heavily on this fundraiser and so yeah,

2959
02:34:10,720 --> 02:34:12,320
Speaker 3: we just appreciate everybody.

2960
02:34:12,360 --> 02:34:13,960
Speaker 1: So people don't want to get involved in Trappic Cat,

2961
02:34:14,040 --> 02:34:15,440
Speaker 1: go where same home range.

2962
02:34:15,720 --> 02:34:17,680
Speaker 3: Go to home range dot org and there's a banner

2963
02:34:17,760 --> 02:34:19,959
Speaker 3: up on the top of the website. You just click

2964
02:34:20,040 --> 02:34:22,640
Speaker 3: that and it'll give you a little more information and

2965
02:34:22,680 --> 02:34:24,959
Speaker 3: you can donate there and you'll get put into the

2966
02:34:25,040 --> 02:34:29,119
Speaker 3: trap cat system and start getting videos and stuff like that.

2967
02:34:29,560 --> 02:34:30,039
Speaker 1: Excellent.

2968
02:34:30,200 --> 02:34:31,320
Speaker 3: Yeah, it's pretty fun.

2969
02:34:31,920 --> 02:34:35,879
Speaker 1: This is the fifth time you've been on Yeah, okay, Yeah,

2970
02:34:36,760 --> 02:34:41,240
Speaker 1: better have some adventures for the sixth time. Yeah, okay,

2971
02:34:41,360 --> 02:34:43,920
Speaker 1: when you come back next year, Yeah, let's do it.

2972
02:34:44,879 --> 02:34:47,640
Speaker 1: And then we'll start talking about my little problem south here,

2973
02:34:48,400 --> 02:34:50,080
Speaker 1: which might not be a problem. If you go and

2974
02:34:50,120 --> 02:34:52,359
Speaker 1: find that there's all that, you know, it's all habitat,

2975
02:34:52,360 --> 02:34:54,320
Speaker 1: I'll be like, cool, I understand. I'm all for it,

2976
02:34:54,360 --> 02:34:55,480
Speaker 1: But if it winds up being that it was a

2977
02:34:55,480 --> 02:34:59,560
Speaker 1: little willy nilly, a little reflexive, then that then then

2978
02:35:00,120 --> 02:35:03,480
Speaker 1: that's an annoyance to me. And in the meantime we'll

2979
02:35:03,480 --> 02:35:04,199
Speaker 1: work on that letter.

2980
02:35:05,920 --> 02:35:08,000
Speaker 3: Maybe I think willy nilly is probably not it.

2981
02:35:08,080 --> 02:35:12,440
Speaker 1: Maybe over ambitious over or or just.

2982
02:35:12,440 --> 02:35:17,840
Speaker 3: Overlate, more cautious than you would do. Not sure, not

2983
02:35:17,840 --> 02:35:20,760
Speaker 3: willing nilly, though, I don't think they're willing nilly.

2984
02:35:20,920 --> 02:35:24,520
Speaker 1: Okay, I appreciate it. I appreciate it. Sentiment, Yeah you are,

2985
02:35:25,280 --> 02:35:30,080
Speaker 1: uh you love them links?

2986
02:35:31,400 --> 02:35:33,039
Speaker 3: Yeah, I mean I do.

2987
02:35:33,440 --> 02:35:33,800
Speaker 5: I do.

2988
02:35:34,120 --> 02:35:42,039
Speaker 3: I just sometimes for you know, for women in wildlife,

2989
02:35:42,760 --> 02:35:46,879
Speaker 3: the stereotype is, oh they love wolves, they're obsessed with wolves,

2990
02:35:47,000 --> 02:35:47,400
Speaker 3: or they.

2991
02:35:47,320 --> 02:35:49,800
Speaker 1: Love links, and you know, is that a stereotype.

2992
02:35:50,160 --> 02:35:50,959
Speaker 3: Yeah, I think so.

2993
02:35:52,280 --> 02:35:54,000
Speaker 1: Like that you're not able to look at it like

2994
02:35:54,040 --> 02:35:55,800
Speaker 1: a cold meanness.

2995
02:35:57,200 --> 02:35:59,480
Speaker 3: I guess a little bit. Not not that anybody wants

2996
02:35:59,480 --> 02:36:02,039
Speaker 3: to be looking them with a cold meanness, but I

2997
02:36:02,080 --> 02:36:07,160
Speaker 3: think for women sometimes that is seen as the inspiration

2998
02:36:07,280 --> 02:36:12,000
Speaker 3: behind Yeah, I've had it. I've sort of experienced that

2999
02:36:12,280 --> 02:36:16,120
Speaker 3: myself or somebody they hear, oh you're working with wolves,

3000
02:36:16,280 --> 02:36:19,400
Speaker 3: Oh you love like you know they're picturing you as

3001
02:36:19,400 --> 02:36:21,720
Speaker 3: a little girl drawing wolves on your binder at school

3002
02:36:21,760 --> 02:36:26,360
Speaker 3: and stuff. I would say that links are cool animal.

3003
02:36:27,320 --> 02:36:30,039
Speaker 3: It's also they're a hard animal to study, and that's

3004
02:36:30,080 --> 02:36:33,200
Speaker 3: intriguing to me. I love the mountains, that's where I

3005
02:36:33,240 --> 02:36:36,959
Speaker 3: have to be. I love the boreal force ecosystem, and

3006
02:36:37,040 --> 02:36:46,480
Speaker 3: I'm fascinated by the problem of how we can conserve

3007
02:36:46,560 --> 02:36:50,840
Speaker 3: them in the face of increasing megafires. And i love

3008
02:36:51,040 --> 02:36:54,560
Speaker 3: wildfire wildlife ecology. So it's not as Yeah, I just

3009
02:36:54,600 --> 02:36:57,080
Speaker 3: like to be clear that it's not just that I

3010
02:36:57,120 --> 02:36:58,119
Speaker 3: love links or something.

3011
02:36:58,800 --> 02:37:01,439
Speaker 1: Thank you for coming in, Thanks for having me home Range.

3012
02:37:01,200 --> 02:37:02,080
Speaker 3: I really appreciate it.

3013
02:37:02,120 --> 02:37:07,240
Speaker 1: Wildlife Traffic Cat program, get into it. We're gonna do

3014
02:37:07,240 --> 02:37:10,800
Speaker 1: big announcements about who wins the traffic Cat Okay.

3015
02:37:10,760 --> 02:37:11,840
Speaker 4: Will you still do a video?

3016
02:37:11,840 --> 02:37:15,760
Speaker 1: If it's my kids, Oh yeah, I'll t to tell them.

3017
02:37:17,280 --> 02:37:20,040
Speaker 1: Let's tell him. At first, they'll be like, what really

3018
02:37:21,200 --> 02:37:25,400
Speaker 1: is you only got to send me a video? Brooklyn

3019
02:37:25,440 --> 02:37:27,040
Speaker 1: Nicks coming down? You're still gonna make it back to

3020
02:37:27,040 --> 02:37:28,760
Speaker 1: school or did you get some bag it for the day?

3021
02:37:28,800 --> 02:37:30,119
Speaker 5: Now I can make it back.

3022
02:37:30,200 --> 02:37:31,920
Speaker 1: Yeah, well, class, you gotta get.

3023
02:37:32,200 --> 02:37:37,120
Speaker 5: Early grad English early what early grad English. It's like

3024
02:37:37,560 --> 02:37:39,680
Speaker 5: my other English classes. I'm graduating early.

3025
02:37:40,080 --> 02:37:41,040
Speaker 1: Why are graduating early?

3026
02:37:41,800 --> 02:37:42,560
Speaker 5: Is it all like school?

3027
02:37:42,840 --> 02:37:45,560
Speaker 1: Oh? They're letting you the cutting you loose early? How early?

3028
02:37:46,200 --> 02:37:48,760
Speaker 5: I get out in five days for good?

3029
02:37:49,760 --> 02:37:54,000
Speaker 1: Really? Whoa, that's graduations fantastic. Oh that's cool.

3030
02:37:54,280 --> 02:37:56,720
Speaker 2: Then you go right into taxi army full time.

3031
02:37:57,200 --> 02:38:01,880
Speaker 1: So you need these schools kind of Yeah, you should

3032
02:38:01,879 --> 02:38:04,280
Speaker 1: have put that into your pitch. Oh, okay, that's cool.

3033
02:38:04,720 --> 02:38:10,080
Speaker 1: So you're gonna enter the workforce? Yep, congratulations, good all right,

3034
02:38:10,120 --> 02:38:14,280
Speaker 1: Well thanks for coming down. Four six bone works. Yep,

3035
02:38:14,680 --> 02:38:18,600
Speaker 1: all right, thanks, good luck. Keep us posted on what's

3036
02:38:18,600 --> 02:38:21,160
Speaker 1: going on. I got another skull hanging in a cherry

3037
02:38:21,160 --> 02:38:24,039
Speaker 1: tree in my yard. You'll see it by the front

3038
02:38:24,040 --> 02:38:27,880
Speaker 1: door if you get by there and needs a good cleaning.

3039
02:38:28,160 --> 02:38:33,000
Speaker 1: I skinned it. Unfortunately it's okoduse.

3040
02:38:31,720 --> 02:38:34,800
Speaker 2: I'm not gonna here's a question before we leave, will

3041
02:38:34,800 --> 02:38:39,039
Speaker 2: we do any skull like coyotes? Beaver's yeah, Pine Martins,

3042
02:38:39,320 --> 02:38:40,920
Speaker 2: lynx links.

3043
02:38:41,240 --> 02:38:43,600
Speaker 1: I'm a joking. I want When Karma was on before

3044
02:38:43,640 --> 02:38:45,280
Speaker 1: I was talking at how bad I wanted a Lynk skull,

3045
02:38:45,320 --> 02:38:47,119
Speaker 1: and someone from Canada sent me a link. Skoo. I'm

3046
02:38:47,120 --> 02:38:49,760
Speaker 1: trying to give it to Carmena for her collection.

3047
02:38:50,280 --> 02:38:50,560
Speaker 2: Cool.

3048
02:38:51,800 --> 02:38:55,640
Speaker 1: Cool, I don't want to. Uh, it would take a

3049
02:38:55,760 --> 02:38:59,640
Speaker 1: very trained, astute observer to tell that from a Bobcats. Yeah,

3050
02:39:00,040 --> 02:39:03,000
Speaker 1: like you could just say it's whatever. Yeah. I sent

3051
02:39:03,120 --> 02:39:05,000
Speaker 1: my buddy has he's a science teacher in Michigan. I

3052
02:39:05,040 --> 02:39:08,720
Speaker 1: send him a huge box of schools and he had

3053
02:39:08,720 --> 02:39:11,680
Speaker 1: his kids do the what do you call it? You know,

3054
02:39:11,720 --> 02:39:14,640
Speaker 1: like the there's a the idea. Yeah, but there's like

3055
02:39:14,680 --> 02:39:18,320
Speaker 1: a thing you what's the term, man, you key it

3056
02:39:18,440 --> 02:39:18,720
Speaker 1: or something?

3057
02:39:18,760 --> 02:39:18,880
Speaker 6: Oh?

3058
02:39:18,959 --> 02:39:21,320
Speaker 3: Yeah, like using a key to to figure out which

3059
02:39:21,320 --> 02:39:22,000
Speaker 3: school is which.

3060
02:39:22,200 --> 02:39:24,280
Speaker 1: Yeah, And then we did where the ones that got

3061
02:39:24,280 --> 02:39:26,960
Speaker 1: it right got a prize. They were fun. Oh, they

3062
02:39:26,959 --> 02:39:29,000
Speaker 1: were phenomenal. He had like twenty some students and like

3063
02:39:29,040 --> 02:39:31,240
Speaker 1: I don't know everyone it was toms of them got it right,

3064
02:39:31,640 --> 02:39:33,640
Speaker 1: like a whole box of schools by using the key.

3065
02:39:34,520 --> 02:39:35,760
Speaker 1: Like I would just look at like, I don't know,

3066
02:39:36,280 --> 02:39:37,000
Speaker 1: it looks like a.

3067
02:39:37,120 --> 02:39:39,000
Speaker 3: Well if it's a good key.

3068
02:39:39,080 --> 02:39:39,280
Speaker 2: Yeah.

3069
02:39:39,320 --> 02:39:39,440
Speaker 6: No.

3070
02:39:39,680 --> 02:39:41,960
Speaker 1: I was impressed. Man, I'm gonna so I'm going to

3071
02:39:42,040 --> 02:39:44,560
Speaker 1: keep supplying little schools or to his students so they

3072
02:39:44,600 --> 02:39:47,039
Speaker 1: can check them out, all right, So you'll do any

3073
02:39:47,080 --> 02:39:50,920
Speaker 1: kind of school ye, all right, Okay, thank you very

3074
02:39:51,000 --> 02:39:51,800
Speaker 1: much for coming down.

3075
02:39:52,120 --> 02:39:52,480
Speaker 5: Thank you.

3076
02:39:52,560 --> 02:39:54,320
Speaker 1: Good luck with your business. I'm going to keep sending

3077
02:39:54,360 --> 02:39:59,640
Speaker 1: your business. I'm not using Brody services anymore. Nothing not

3078
02:39:59,720 --> 02:40:01,520
Speaker 1: hacking Brody. I just want to support. I want to

3079
02:40:01,520 --> 02:40:02,680
Speaker 1: support the business over here.

3080
02:40:02,760 --> 02:40:06,200
Speaker 4: I might start sending to her. I think you should

3081
02:40:06,240 --> 02:40:07,760
Speaker 4: raise your prices just a little bit.

3082
02:40:07,840 --> 02:40:09,720
Speaker 1: Also, yeah, it sounds like it, but I don't know.

3083
02:40:09,920 --> 02:40:12,920
Speaker 1: I like that. I like that price right there. Now,

3084
02:40:13,120 --> 02:40:14,920
Speaker 1: how do you how do you envoys? Are you going

3085
02:40:15,000 --> 02:40:17,480
Speaker 1: to send? Uh? You know you could do? That's really convenient.

3086
02:40:18,360 --> 02:40:21,360
Speaker 1: I had someone I bought something near day from someone

3087
02:40:21,360 --> 02:40:24,800
Speaker 1: that sends you a a like a little scan code,

3088
02:40:25,320 --> 02:40:27,320
Speaker 1: and then that scan code pulls up Venmo. Have you

3089
02:40:27,360 --> 02:40:28,199
Speaker 1: tried something like that?

3090
02:40:28,600 --> 02:40:31,320
Speaker 5: No, if I use Venmo, you need.

3091
02:40:31,240 --> 02:40:32,720
Speaker 1: To get this whatever the hell he's got. I don't

3092
02:40:32,720 --> 02:40:34,879
Speaker 1: know what it is. It made it so easy.

3093
02:40:34,959 --> 02:40:37,040
Speaker 6: I think she's waiting for her business manager.

3094
02:40:37,680 --> 02:40:40,400
Speaker 1: Yeah, yeah, it was just like, man, I don't have vembo.

3095
02:40:40,400 --> 02:40:42,480
Speaker 1: By grabbed my wife's phone and open that code up

3096
02:40:42,520 --> 02:40:43,920
Speaker 1: and was able to just hit a couple of things

3097
02:40:43,920 --> 02:40:48,240
Speaker 1: and payment over. Super easy, super convenient. I don't know

3098
02:40:48,280 --> 02:40:49,879
Speaker 1: what it is, but trust me, just the thing out

3099
02:40:49,879 --> 02:40:51,480
Speaker 1: there that makes payment a breeze.

3100
02:40:51,959 --> 02:40:53,199
Speaker 2: Okay, it's probably Venmo.

3101
02:40:53,800 --> 02:40:55,200
Speaker 1: No, it is out yeah it is. But I don't

3102
02:40:55,200 --> 02:40:57,360
Speaker 1: know how they did this thing. It was great because

3103
02:40:57,680 --> 02:41:00,960
Speaker 1: I don't have them much of my wife's annoyance I

3104
02:41:01,040 --> 02:41:04,560
Speaker 1: had not. All right, thanks, everybody, talk you soon.

3105
02:41:13,800 --> 02:41:17,000
Speaker 10: It's a story of a man the steward of the

3106
02:41:17,120 --> 02:41:21,160
Speaker 10: land fixed on griev So I'll try to be brief.

3107
02:41:21,200 --> 02:41:25,680
Speaker 10: He's written Forefield and streaming all the other magazines. Kids

3108
02:41:25,760 --> 02:41:30,920
Speaker 10: more about truth than common believe about already know this

3109
02:41:31,040 --> 02:41:36,080
Speaker 10: buddy Astricken noses from beating the meat of a uncooked

3110
02:41:36,120 --> 02:41:39,840
Speaker 10: bear about already know. Then you can find him and

3111
02:41:40,000 --> 02:41:48,920
Speaker 10: Bozeman or hunting some mountains somewhere here. That's Seemingnella. He's

3112
02:41:49,000 --> 02:41:52,840
Speaker 10: a fine fella. It's dreading middle of like a shaggy

3113
02:41:52,959 --> 02:41:57,520
Speaker 10: Manson mellow. He's not very in the sing. Aka fella.

3114
02:41:58,320 --> 02:42:01,279
Speaker 10: I've been reads like no time, No fella.

3115
02:42:01,760 --> 02:42:02,480
Speaker 1: He's got some.

3116
02:42:02,640 --> 02:42:06,640
Speaker 10: Good folks under them media the umbrella. He's a fine

3117
02:42:06,760 --> 02:42:21,160
Speaker 10: fella that he's written half a dozen bucks. He's a

3118
02:42:21,200 --> 02:42:25,640
Speaker 10: pretty good cook, married to a fence that won't seem

3119
02:42:25,680 --> 02:42:31,320
Speaker 10: to mope. Loves his home, steak tails, from Twins Lake, Michigan,

3120
02:42:31,680 --> 02:42:35,440
Speaker 10: where they picked up those quoats in Alaska on a

3121
02:42:35,520 --> 02:42:38,680
Speaker 10: skiff for with Doug and the Drifts with his main

3122
02:42:38,800 --> 02:42:43,480
Speaker 10: man Gianni's food tellers on the mountain, trying to score

3123
02:42:43,640 --> 02:42:47,400
Speaker 10: in a double Remy Warren or Old Chalcey and Lady

3124
02:42:47,520 --> 02:42:56,000
Speaker 10: Bears Smellings. That's Steven mmella. He's a fine fellaw's dreading

3125
02:42:56,240 --> 02:43:00,039
Speaker 10: the love like a shaggy Maine's a fella. He's not

3126
02:43:00,040 --> 02:43:03,920
Speaker 10: not afraid to sing at a fella. His lie it

3127
02:43:04,240 --> 02:43:07,560
Speaker 10: reads like can no time, no fella. He's got some

3128
02:43:07,760 --> 02:43:12,280
Speaker 10: good folks into the media umbrella. He's a fine fellow

3129
02:43:12,400 --> 02:43:26,920
Speaker 10: that manella, Dude, I want to talk dip, get him

3130
02:43:27,040 --> 02:43:30,600
Speaker 10: stop fast. Hell, that's half the content of the media

3131
02:43:30,800 --> 02:43:34,560
Speaker 10: to podcast classing from a knop trying to clear out

3132
02:43:34,680 --> 02:43:38,120
Speaker 10: his head going from the meet you. He could have

3133
02:43:38,280 --> 02:43:44,600
Speaker 10: been dead, but that's the story for another day.

3134
02:43:45,440 --> 02:43:46,760
Speaker 1: That's Deephen Mellow.

3135
02:43:47,360 --> 02:43:51,080
Speaker 10: He's a fine fellows spreading a little love like us

3136
02:43:51,120 --> 02:43:55,280
Speaker 10: shagging fans the mellow. He's not afraid to sing.

3137
02:43:55,400 --> 02:43:56,200
Speaker 3: Got the fella.

3138
02:43:56,720 --> 02:43:59,959
Speaker 10: His lif fit reads like I can no time, no fella.

3139
02:44:00,520 --> 02:44:05,840
Speaker 10: He's got some good books under them umbrella he's Vambela,

3140
02:44:06,040 --> 02:44:14,680
Speaker 10: that HeLa. He's Fambelddela Doo doo doo

3141
02:44:16,680 --> 02:44:16,720
Speaker 3: Do