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Speaker 1: Oh hey everyone, it's another episode the Hunt Collective. This

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Speaker 1: happens to be number eighty one. We're here in beautiful

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Speaker 1: Bowsman as we turn into October thinking about all types

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Speaker 1: of things. We're definitely thinking about waterfowl moving in flying south.

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Speaker 1: So that's why you should pick up Black Cloud from

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Speaker 1: Federal Ammunition, especially their f S steel stuff. He's got

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Speaker 1: a flight control flex wad. It's pretty cool thing. Has

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Speaker 1: these rear deploying pedals side mount events. Um, that's stimulate

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Speaker 1: the payload and uh, kill more ducks for you. So

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Speaker 1: go to Federal Premium dot com to check that out.

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Speaker 1: On first Light last week, we asked you to go

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Speaker 1: to first leg dot com on September and round up

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Speaker 1: for conservation. Basically, double your donation to your favorite conservation organization.

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Speaker 1: We're living in the world right now where we can't

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Speaker 1: just fall back on our license sales. We can't fall

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Speaker 1: back on Pittman Robertson dollars. We have to do more.

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Speaker 1: We have to give more financially the conservation. I think

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Speaker 1: we all know that, but it's something that we're happy

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Speaker 1: that First Light stepped up and they had a huge

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Speaker 1: day on Saturday. It made a lot of money for

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Speaker 1: very important causes. So thank you the first Light for

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Speaker 1: being so bold enough to round up for conservation. Thanked

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Speaker 1: all of you who went to first light dot com

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Speaker 1: and donated and rounded up. It's it's a huge thing

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Speaker 1: for all of us in conservation and apparel and hunting

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Speaker 1: and all those things. So first Light dot com, first

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Speaker 1: light dot com excited about episode eighty one. We're gonna

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Speaker 1: bring all Ryan cal callahan on here in a minute,

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Speaker 1: and then after that our interview portion of the show

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Speaker 1: is Greg, Emily and Jennifer from f w P here

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Speaker 1: in Montana. That's Montana Fish wildlife from parks, and we're

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Speaker 1: gonna talk about wildlife diseases. It's gonna be interesting. Al herpies,

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Speaker 1: the plague, all kinds of stuff, interesting stuff. It's one

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Speaker 1: of my favorite conversations. I hope you enjoy it. Before

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Speaker 1: we get to all that, we get a very special

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Speaker 1: and very important announcement, right Phil, That's right, yes, and

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Speaker 1: you to to introduce this, you have created a jingle

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Speaker 1: I did. I had some spare time. I thought I would.

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Speaker 1: It would be fun and it is awesome. It is

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Speaker 1: one of my favorite things that's ever been created by

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Speaker 1: any human that I've ever met. Wow, I am serious.

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Speaker 1: It's been in my head for days at this point.

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Speaker 1: So maybe eventually I'll be mad at you about it,

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Speaker 1: but for now, I think it's a catchy. So can

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Speaker 1: we play it really quick, work sharp, not to sharp

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Speaker 1: moment so you don't have to there it is. That's Phils,

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Speaker 1: that's Phil, that's his voice, that's your voice. I did it.

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Speaker 1: I wrote a jingle I was trying to. I went,

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Speaker 1: I went on YouTube and looked at old like fifties,

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Speaker 1: four years and fifties like just just for some inspiration,

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Speaker 1: and I laid that down. Did you auto to any

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Speaker 1: part of that? Now? That's just we're playing that for

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Speaker 1: you for a lot of reasons, but one of them

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Speaker 1: is you guys have been sending in your not so

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Speaker 1: sharp moments over the last couple of weeks. Thank you

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Speaker 1: very much for that. We have an inbox full of

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Speaker 1: very good and funny stories to read later on in

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Speaker 1: our podcast lives. But we're so excited about this not

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Speaker 1: so Sharp Moment segment that we're going to add a

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Speaker 1: little something to it. Our friends at work Sharp, who

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Speaker 1: are bringing this segment to you. Thank you for for

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Speaker 1: joining us as a partner Work Sharp. They're gonna give

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Speaker 1: everyone that we select to read your story on the

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Speaker 1: air a field sharpener. Phil, They're going to give them

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Speaker 1: a field sharpener. You are you and work Sharper, giving

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Speaker 1: twelve field sharpeners away. Unbelievable. Yeah, you'd be dumb not

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Speaker 1: to write in. You need to. Yeah, this is now.

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Speaker 1: It would be a not so sharp moment if you

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Speaker 1: didn't write it, and then and then you could write

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Speaker 1: in after we end, after after the segments over, say yeah,

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Speaker 1: and it was not so sharp that I didn't write in.

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Speaker 1: Of all the contests in the world, of all the

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Speaker 1: things that you can get for free, this is the

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Speaker 1: easiest one. And it's good odds too, because there's like

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Speaker 1: maybe eighteen or nineteen people that listen, and so you're

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Speaker 1: gonna I'm feeling good for you. You You got a really

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Speaker 1: really good chance. Here's what you do. If you don't

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Speaker 1: know already know, you go you go to your computer

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Speaker 1: or your phone whatever, th h C at the Mediator

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Speaker 1: dot com, th h C at the Mediator dot com,

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Speaker 1: and then you write us your very best pros, your

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Speaker 1: very best storytelling. Sit down and think about it. Make

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Speaker 1: us laugh, make us cry, just make us a mote

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Speaker 1: in some way, tell us you're not so sharp moments something.

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Speaker 1: It could be outdoors, could be indoors. It doesn't really matter,

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Speaker 1: as long as it makes us feel something. Right, Phil, concise, concise,

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Speaker 1: not too long, don't go too don't go too short,

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Speaker 1: do it perfectly, the perfect length. I'm not gonna tell

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Speaker 1: you what that is. You just gotta feel it out.

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Speaker 1: That's part of the contest. It's part of the skill

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Speaker 1: it takes to win and be a not so sharp

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Speaker 1: moment person, if that's what we'll call it. So thanks

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Speaker 1: to work sharp. Thanks to Phil for that fancy little jingle.

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Speaker 1: Yeah it was fun. You're welcome. Well, it's we're a

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Speaker 1: team here. We're all a family. We're a family, so

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Speaker 1: right in. Make us laugh and we're gonna have fun

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Speaker 1: with it. Will be running those in the weeks to come.

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Speaker 1: Until then, we look forward to reading your emails. Now

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Speaker 1: on to the show, Ryan calling here. I guess I

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Speaker 1: grew up on an older road, a batle to the meadows.

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Speaker 1: I always did what I told until I found out

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Speaker 1: that my brand new closed a game second hand from

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Speaker 1: the rich kids next door. And I grew up baths.

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Speaker 1: I guess I grew up. I mean, there are a

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Speaker 1: thousand things inside of my head I wish I ain't seen.

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Speaker 1: And now I just wanted to a real bad dream

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Speaker 1: or being and like I'm coming a part of the seams.

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Speaker 1: But thank you Jack Daniel listening, Hi, everybody. Uncollected Episode one,

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Speaker 1: I've been O'Brien. I'm here with Brian cal callahan and

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Speaker 1: Phil the engineer. Brian cal Callahan is eating some god

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Speaker 1: that is a pungent aroma. I can smell that. It

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Speaker 1: smells very It was being in that tupperware in there's

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Speaker 1: a tiny room that we know it has no ventilation.

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Speaker 1: So I made some I posted it on the on Instagram,

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Speaker 1: so if you're on there you'll see it. But I

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Speaker 1: made smoked elk topped round and I put, I think,

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Speaker 1: I put, I must have just put. Do you feel

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Speaker 1: like I guess too much? Rub? Is it? Two? Garlic?

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Speaker 1: It's good? And then I got my this new Western slicer.

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Speaker 1: I've never sliced meat with a slicer before, and it's

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Speaker 1: the most satisfying thing ever ever to see that meat

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Speaker 1: just like like this glide out of the back end

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Speaker 1: of that slicer. Phil, Yeah, I like going to a

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Speaker 1: Jersey Jersey mix sometimes because they they'll do it right

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Speaker 1: in front of your face, your sandwich. Why is it

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Speaker 1: so cal Why is it so satisfying to watch? Because

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Speaker 1: I mean, you're just like you're it's another transformative meat experience, right, Yeah.

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Speaker 1: You take it from the feet from this screaming forest

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Speaker 1: horse into this sliced thin goodness in life, and you

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Speaker 1: like doctored up the meat. You took care of the

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Speaker 1: meat and the smoker, and then you Yeah. I found

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Speaker 1: it to be incredibly satisfying. Not you know, you know,

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Speaker 1: not in a sexual way. Phil, Are you sure about that?

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Speaker 1: I have a whole antelope neck in the souvied right now,

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Speaker 1: and uh, I'm got a home Mediterranean style. I got

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Speaker 1: got a little bit of yogurt and red wine and

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Speaker 1: rosemary in there, and I'm making your rose out of it. Yeah,

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Speaker 1: that's yeah. I don't. I just want to say that.

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Speaker 1: Nobody's paying me to say anything about Western slicers, but gosh, dang,

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Speaker 1: that was good. Last night I was living in living

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Speaker 1: the dream, made myself a little sandwich. I doctored up

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Speaker 1: half a dozen roast I think this weekends, the weekend,

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Speaker 1: I'm gonna do it is to just stock by a

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Speaker 1: lunch meat because I've really especially on this last trip

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Speaker 1: to New Mexico, it's just like what are we doing?

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Speaker 1: Like every hunting trip, the meteor crew has gotten so

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Speaker 1: much better about it, but you know, it always like

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Speaker 1: starts with this trip to whatever store you know, and

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Speaker 1: the feet a crew of five six guys is just

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Speaker 1: an insane amount of processed crap. And uh so, like

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Speaker 1: the Oregon hunt, I had all my leftover mountain lion

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Speaker 1: pulled pulled meat and then um, I brought all the

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Speaker 1: rest of my tamalis from Sonora, all the cues dear tomales,

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Speaker 1: and so we ate mountain lion and and tomales and

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Speaker 1: is a great backpack meal. Well, if you're you know,

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Speaker 1: if you're looking for. For me, it was a replacement

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Speaker 1: thing because I'm at home, like I got all this

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Speaker 1: beautiful meat and then I'm staring in the fridge and

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Speaker 1: there's a pack of lunch meeting there. I'm like, what

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Speaker 1: am I doing? This is the most this makes no sense.

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Speaker 1: And so then it was like, well, okay, pastrami elk,

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Speaker 1: pastronomy deer whatever, pastromy venison. He's like smoke a turkey

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Speaker 1: slice it up. It's perfect, man, vaccine and it's perfect. Yeah. Yeah,

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Speaker 1: this one is so garlic it's burning my eyes. So

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Speaker 1: maybe next time I'm going to back the garlic off. Phil.

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Speaker 1: I don't think there's anything wrong with too much garlic. Yeah,

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Speaker 1: what if you encounter bland bread though, I know, white

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Speaker 1: bread or a vampire? Yeah, I know. My kid, my

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Speaker 1: son loved it. My wife loved it, and it would

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Speaker 1: It's the perfect It's the perfect thing to do if

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Speaker 1: you have if you kill an elk, you got plenty

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Speaker 1: of meat. Yeah. You take one, take one hand, take

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Speaker 1: the top round, the bottom round, take the eye around,

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Speaker 1: duper STRAMI smoke it like I did um and make

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Speaker 1: lunch meat out of it. Man, It's it's just perfect.

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Speaker 1: So I'm glad you were able to taste that there

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Speaker 1: cat still rolling through your teeth. I'm sure I wouldn't.

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Speaker 1: I wouldn't mess around at that. All right, Well, we

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Speaker 1: got a lot to do, uh. Today on the show,

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Speaker 1: we have some folks from the Montana f w P on.

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Speaker 1: Greg Lemon, who works in the next communication Department's bringing

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Speaker 1: over Jennifer and Emily. Jennifer we talked, I talked last

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Speaker 1: week in this room, we weren't recording it. She's a

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Speaker 1: veterinarian for f w P here in Montana, and she's works.

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Speaker 1: She has a top ten list of diseases of wildlife

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Speaker 1: based diseases that and one of them phil is al herpies.

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Speaker 1: Big problem, big problem, cal al herpes. And is it's

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Speaker 1: nothing to be ashamed of owls. Yeah, but you know

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Speaker 1: there's there's there's more of you out there than you think.

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Speaker 1: Al Treks would that be? Is that a funny joke? Oh,

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Speaker 1: like the medication like val Trek's but al Treks al

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Speaker 1: Trek's Yeah that's good. Is that good? Yeah? I like it.

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Speaker 1: It's like a dad joke kind of situation. I had

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Speaker 1: this ex girlfriend that I had followed all the way

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Speaker 1: out to Vermont and she was still is and not

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Speaker 1: I was real smart gal um and she had gotten

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Speaker 1: basically a very very strong invite to extend her East

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Speaker 1: Coast education and go to the Yale School of Forestry,

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Speaker 1: oldest school of forestry in the US. And she's like, yeah,

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Speaker 1: so you know more East Coast time, and uh, I

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Speaker 1: was like, hey, I'll let me do some digging on

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Speaker 1: the Yale School of Forestry, and um, I think Yale

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Speaker 1: graduate programs at that time had the highest prevalence rate

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Speaker 1: of her pies, and so I just kind of slid

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Speaker 1: the laptop over to her, and I was like, yeah,

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Speaker 1: I'll be going back to Monte and New Haven is

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Speaker 1: a pretty small town and you made you made it

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Speaker 1: out though. You're fun, right, you're cleaning. I heard her

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Speaker 1: like I heard somebody say s t I the other day, like,

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Speaker 1: apparently they've changed what it's not STD and infection. It's

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Speaker 1: not it's not all diseases. It's a modern thing. I

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Speaker 1: just felt old that we're like, I'm not up in

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Speaker 1: the vernacular or the venereal or the venarial vernacular, any

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Speaker 1: of those things. So moving on from herpes, here's a question.

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Speaker 1: Kyle came in from a listener, Eric Maud, and I

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Speaker 1: thought about you for some reason. I don't know why.

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Speaker 1: He said. Um first he said, I listened to your

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Speaker 1: podcast all the time, and acent admit that you put

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Speaker 1: me on White Claw this summer. You're welcome white Claw.

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Speaker 1: White Claw continues to not want to sponsor the podcast

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Speaker 1: because they don't need to do any quote unquote advertising

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Speaker 1: because they're so popular. But I'm a but I'm a

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Speaker 1: legit influencer for their company. So they need to come

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Speaker 1: get out of the shadows. Yeah. I feel like White

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Speaker 1: Claw is going to go the way of vaping. Yeah,

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Speaker 1: so they need to capitalize on me right now. Money,

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Speaker 1: Yeah for the podcast anyway. The vaping thing is just

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Speaker 1: hilarious too. It's like these people that they're like putting

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Speaker 1: out in front everybody are like, I had no idea, Like,

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Speaker 1: come on, it's not great for you. So here's one

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Speaker 1: of these things said that they were pulling their vape

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Speaker 1: pen to check the wind before going on the stock.

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Speaker 1: I thought, I thought that was very modern. That was

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Speaker 1: very modern, very modern. The old outfitter, um uh. He

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Speaker 1: used to constantly he could roll a cigarette with one

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Speaker 1: hand and the constantly have that thing burning, and he

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Speaker 1: just you know, you'd communicate with just hand motions and

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Speaker 1: he'd just like stopped and stick his gnar old old

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Speaker 1: hand out there, the sig burning on the end, and

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Speaker 1: you just like stare at the smoke curling off and

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Speaker 1: then we just like keep moving. That's a great image.

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Speaker 1: The gnarled hand, my hands, let me see your hands

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Speaker 1: fill mine. I lotion my hands a lot, and they're

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Speaker 1: like like, baby, I'm a horrible nail biter. So I've

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Speaker 1: got some like my hands. The palms themselves are all right,

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Speaker 1: but don't don't look around the cuticles of the nails.

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Speaker 1: As Tom mcgwain said that he moved to Montana to

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Speaker 1: not have the hands of a writer. I have the

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Speaker 1: hands of a writer that doesn't do much writing. They're

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Speaker 1: soft and supple, so gentle, gentle to the touch. Those

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Speaker 1: are nice hands. Yeah, these are nice. They're small, dainty alright,

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Speaker 1: packed the eric Eric maud Um. He said, some friends

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Speaker 1: and I were recently having a discussion about bear hunting.

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Speaker 1: I was wondering if you had any input on this.

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Speaker 1: If you hunt it in an area with a bear

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Speaker 1: that is known for man killing, killing man humans, and

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Speaker 1: by chance killed said bear and discovered that it was

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Speaker 1: the bear who had killed humans and eating human flood,

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Speaker 1: would you eat the meat of that bear? Yes, Phil,

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Speaker 1: I would. Yeah. I think it's gone through enough. I

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Speaker 1: got no problem. We're talking about the details. That sounds bad.

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Speaker 1: I'm like it's been digested, Like what kind of humans

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Speaker 1: was it eating? Put through the ringer? Was it eating

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Speaker 1: healthy humans? Well? I mean the question for me is

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Speaker 1: just like what do you do? I uh, like, to

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Speaker 1: walk away from that meat would be very, very very different.

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Speaker 1: It would be worse. You've already done it. It It would

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Speaker 1: be worse to walk away from the bear meat than

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Speaker 1: it would be to think about the question. To me,

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Speaker 1: it would have been like would you have shot at

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Speaker 1: It's like, yes, that is the man killing bear. I'm

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Speaker 1: a man, and I'd be like, well, he's probably his

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Speaker 1: continued existence would probably keep more people out of this area,

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Speaker 1: so I'll just let him walk. Well, here's a here's

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Speaker 1: another thing to think of. If you were would you

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Speaker 1: be rude going on? I mean, if if I had

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Speaker 1: been eaten by the bear, m I would want you

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Speaker 1: to eat the bear? Yeah, yeah, exactly, I'd be like

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Speaker 1: it it ate me, do it to it. Yeah, you're

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Speaker 1: gonna get a little piece of me in that bear.

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Speaker 1: We had Brodie Brodie Henderson was in here and he

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Speaker 1: cooked up some tasty gator the other day and I

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Speaker 1: was enjoying it, and Steve came in and he started

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Speaker 1: snacking on it, and then he just sat down and

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Speaker 1: started listing all the things this gator probably ate in

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Speaker 1: its lifetime and just kept going and going, and I

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Speaker 1: I wanted to go in for a second. Piece. But

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Speaker 1: after Steve's like a little list of all this stuff.

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Speaker 1: The gator, I honestly, I was like it was good,

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Speaker 1: but I think I'm gonna go. We'll finish my yogurt

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Speaker 1: upstairs now. So I maybe maybe I wouldn't. I say

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Speaker 1: I would eat this bear, but maybe I wouldn't. It's

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Speaker 1: funny because like that long list of intakes, the outtake

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Speaker 1: still tastes like chicken. That's true, because I just gets

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Speaker 1: turned into chick if you fry it up. Oh it

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Speaker 1: ate a boot, that doesn't matter. It still it tastes fine.

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Speaker 1: So there's some truth and some some untruth to that.

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Speaker 1: Like whatever it eats, that's what it tastes like. I

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Speaker 1: like how the gator or crocodile for that matter, or

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Speaker 1: tiger shark like there their brains are just like, oh

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Speaker 1: well that's not meat, but it's in our mouth, so

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Speaker 1: just swallow it. I have all these teeth for some reason,

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Speaker 1: and I'm gonna eat I'm gonna eat this, eat this tire,

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Speaker 1: eat this hub cap? Whatever? Why not? Why not? Cow?

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Speaker 1: Have you ever? Yeah? You have a dog grown up? Yeah? Yeah,

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Speaker 1: um had a series of yellow labs. Uh, can you

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Speaker 1: tell me what their names? Were nugget, oh scout, all right,

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Speaker 1: good fisher? Fisher? Yeah, but fisher was it just like

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Speaker 1: fish fish? Yeah, the big fish. Who's a big girl,

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Speaker 1: big fish? Yep. Were you involved in the naming of

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Speaker 1: those and what? Like what was the strategy just look

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Speaker 1: at the dog and say a name or what what?

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Speaker 1: How did you get there? Um? The first one, I

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Speaker 1: was very young, and the registered name read so all

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Speaker 1: these puppies that yet um if they're coming from a

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Speaker 1: you know, a registered kennel, those dogs get named and

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Speaker 1: registered before they they're sold, and then you can change

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Speaker 1: that name if you want to. But typically it's like

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Speaker 1: that is their registered name, and it's always something that like,

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Speaker 1: you know, it's like, well the sire was this, and

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Speaker 1: so there's some sort of pull off of that. So

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Speaker 1: the first one was Mission Valley Nugget Hunter M and

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Speaker 1: so I got short and iages I had a nugget

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Speaker 1: and eventually called their nug nu. Of course, of course,

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Speaker 1: growing up in Missoula, Montana, you know, people are like, oh,

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Speaker 1: nug and I was like, no, no, um about weed people.

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Speaker 1: And then um, it took me a long time to

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Speaker 1: name the second to um. But you know, I have

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Speaker 1: always like loved both the book and the movie of

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Speaker 1: To Kill a Mockingbird. Um, and Scout is the daughter.

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Speaker 1: And I always loved that name for a girl. And

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Speaker 1: she was she was real hardheaded and missed, mischievous. And

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Speaker 1: this dog that I had, Scout was like that to

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Speaker 1: a t and she was. She was great. And then

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Speaker 1: her sister actually belonged my dad and my step mom

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Speaker 1: was like, oh, you just show up with a dog

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Speaker 1: like this isn't gonna work. Um. And so like a

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Speaker 1: week later, I get a second dog. It's like, hey,

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Speaker 1: can you just hang on to this dog for like

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Speaker 1: a week. I'll pay for the food and vet or whatever.

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Speaker 1: It's like, I gotta get this figured out at home.

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Speaker 1: And then you know, years later, I'm burying that dog.

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Speaker 1: So goodbye fish. Yes, yep, one time I got a

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Speaker 1: pit bull that way. Um, Phil, you're gonna just tell

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Speaker 1: cal what you named your dog. Yes, the name of

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Speaker 1: my dog is Mango. Oh like the SNL character I

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Speaker 1: was thinking more about more like the fruit. I uh,

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Speaker 1: the mango? I am? I am I too young for

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Speaker 1: this sexually dancer? No? Not not. This would be the

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Speaker 1: sexually ambiguous um dancer played by like or entertainer played

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Speaker 1: by like Chris something Chris Gittan was. He was like

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Speaker 1: a diva. Yeah, that was slightly before my SNL watching time.

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Speaker 1: But it was so funny because they'd have, like I

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Speaker 1: very much remember that Garth Brooks having to fall in

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Speaker 1: love with the mango. Here it is. Here's Will Ferrell

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Speaker 1: and Mango. Here Look that's mango in the pink for you?

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Speaker 1: Can you do this for me? Can you? Okay? That's mango?

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Speaker 1: Got it? Uh? Not exactly the personality. Watch the Mango Dance.

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Speaker 1: Watch the Mango Dance, Phil, He's in a video with

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Speaker 1: j Lo is that and everybody falls in love with

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Speaker 1: the mango. You want the mango, but you cannot have

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Speaker 1: the mango. Phil. Now you're gonna be looking at your dog.

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Speaker 1: And that's a little different. Now I think, Yeah, my god,

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Speaker 1: I either forgot how funny that was. Holy moly, So

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Speaker 1: was it? So now you're aware of the old mango? Yeah,

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Speaker 1: I'm aware of a christ. A lot of people wrote

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Speaker 1: in we talked about Mango last week in the podcast

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Speaker 1: cow and Um. A lot of people wrote in, with

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Speaker 1: lots of lots of lots of critiques. Is playing rude honestly?

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Speaker 1: Just like Mango is a dumb name only because I

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Speaker 1: said it, and I think they were just felt comfortable.

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Speaker 1: Um my rule my my fatherly wisdom too, because I

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Speaker 1: have had enough very well trained dogs to where I

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Speaker 1: feel like I can pass down some fatherly wisdom. Is

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Speaker 1: only have a dog name that you feel comfortable screaming

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Speaker 1: at the top of your lungs amongst strangers in a

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Speaker 1: crowded park. And I have done. Yes, you can have

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Speaker 1: a two syllable dog name, but it either has to

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Speaker 1: be very short or be able to be short tended

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Speaker 1: to a single call her mangs is. This is the

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Speaker 1: funniest email I got this week. This Mark Cfort wrote

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Speaker 1: in and said, I wouldn't name I wouldn't want a

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Speaker 1: dog named Mango. My dog's name is Phil. And there's

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Speaker 1: a picture that's a good looking the dog bone Colorando

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Speaker 1: just says Phil. I do like it, So thanks Mark

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Speaker 1: C for that made me giggle, Yeah, like a schoolgirl

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Speaker 1: or a giggle like mango. Another person Yeah, another person

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Speaker 1: wrote in his name is his first name is t R.

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Speaker 1: E C. Trace, trek trees, trees. We'll go with that, oh,

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Speaker 1: t R e C. Yeah, I think that that might

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Speaker 1: be Trace Trace. Maybe I don't think it's trek, it's

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Speaker 1: just missing the key. Yeah, I don't know. Well, Uh,

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Speaker 1: producer Samantha, her dog's name is Trace. How does she

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Speaker 1: spell that? I don't know. We'll have to ask. T

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Speaker 1: r ec is his first name. His last name is Read.

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Speaker 1: He wrote in and about dog names, and of course

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Speaker 1: was complimenting the name mango. Um. I was thinking about

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Speaker 1: some other names, he said. I had a couple of

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Speaker 1: dog name ideas I didn't end up using. Here's one

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Speaker 1: of them. It's naked. You're probably wondering why anyone in

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Speaker 1: their right mind would want to name their dog naked.

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Speaker 1: Just think of how much fun it would be to

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Speaker 1: say I got naked in my truck and went hunting,

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Speaker 1: or after work, I'm gonna get naked and walk around

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Speaker 1: the block, or honey, do you want to get naked

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Speaker 1: and play out in the yard. The possibilities are endless.

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Speaker 1: But in the end I decided the few laughs I

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Speaker 1: would get we're not worth having to yell come here

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Speaker 1: naked every time I needed my dog. Yeah. I can

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Speaker 1: imagine that the laughs would be good for the first

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Speaker 1: maybe week or two, and then yeah, and then you'd

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Speaker 1: have to deal with the dog named Naked. For the

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Speaker 1: rest of life, would always refer to the the sister dogs,

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Speaker 1: the two dogs that I had as a pair. Um

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Speaker 1: as ladies, ladies come here, and um. I was working

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Speaker 1: on a cabin up on Flathead Lake and UM doing

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Speaker 1: like some little remodel stuff, lots of like stand decks,

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Speaker 1: uh the kind of landscaping project, a bunch of stuff

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Speaker 1: and and uh the you know as early spring or

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Speaker 1: late spring, early summer, and I had a bunch of

421
00:25:35,359 --> 00:25:41,800
Speaker 1: raft guides that needed work. And um these two uh

422
00:25:41,960 --> 00:25:45,639
Speaker 1: young ladies that were very uh good friends. They travel

423
00:25:45,720 --> 00:25:50,159
Speaker 1: all over the place, Madison and Libby. Um they I

424
00:25:50,280 --> 00:25:52,639
Speaker 1: was like, hey, if you guys want to come paint,

425
00:25:53,680 --> 00:25:55,679
Speaker 1: you know, I'll pay you ten bucks an hour. But

426
00:25:55,720 --> 00:25:58,639
Speaker 1: we got a haul house on this thing, and I

427
00:25:58,720 --> 00:26:03,359
Speaker 1: was down working on the landscape project. They were all

428
00:26:03,960 --> 00:26:09,320
Speaker 1: up supposed to be painting on the cabin and I

429
00:26:09,320 --> 00:26:11,359
Speaker 1: had just kind of realized that my dogs were not

430
00:26:11,480 --> 00:26:14,840
Speaker 1: with me, so you know, I just couldn't make sure

431
00:26:14,880 --> 00:26:17,680
Speaker 1: they stayed out of trouble. So I looked up the cabin,

432
00:26:17,840 --> 00:26:22,520
Speaker 1: I yelled, ladies out of the cabin, and my dogs

433
00:26:23,560 --> 00:26:28,800
Speaker 1: came bursting out the door on the deck and the

434
00:26:28,840 --> 00:26:31,440
Speaker 1: two gals that were supposed to be painting went bursting

435
00:26:31,440 --> 00:26:35,960
Speaker 1: out the side door, and I was like, did you

436
00:26:35,960 --> 00:26:39,680
Speaker 1: make him think it was on fire? I can't wait

437
00:26:39,720 --> 00:26:41,760
Speaker 1: for the emails after this podcast of all the things

438
00:26:41,760 --> 00:26:44,200
Speaker 1: you've named your dogs that are inappropriate to yell in public.

439
00:26:44,240 --> 00:26:51,640
Speaker 1: So please, I gotta give old trek Trace Trees another.

440
00:26:51,800 --> 00:26:53,399
Speaker 1: He has another pretty good one in here. He So.

441
00:26:53,560 --> 00:26:55,560
Speaker 1: The other name has to do with an extremely annoying

442
00:26:55,640 --> 00:26:59,639
Speaker 1: relative on my wife's side. Everybody has one of those,

443
00:26:59,760 --> 00:27:02,960
Speaker 1: right or is it just me? No? We all have that.

444
00:27:03,400 --> 00:27:07,200
Speaker 1: We all have credibly annoying in laws. They were about

445
00:27:07,240 --> 00:27:09,400
Speaker 1: to have their first son, and we're telling everyone they

446
00:27:09,400 --> 00:27:13,600
Speaker 1: were going to name him River. No offense anyone named River.

447
00:27:13,680 --> 00:27:16,360
Speaker 1: But I thought that sounded like more of a name

448
00:27:16,640 --> 00:27:19,119
Speaker 1: for a dog. Being the smartest that I am. I

449
00:27:19,160 --> 00:27:22,119
Speaker 1: wanted to name my pup River two months before their

450
00:27:22,200 --> 00:27:24,520
Speaker 1: kid was to be born and pretend I had no

451
00:27:24,600 --> 00:27:28,399
Speaker 1: idea that that was the name they wanted. I figured

452
00:27:28,440 --> 00:27:31,320
Speaker 1: that would be too big of a dick thing to do.

453
00:27:31,760 --> 00:27:36,440
Speaker 1: Mountains have been moved out of spite. Ultimately, I decided

454
00:27:36,480 --> 00:27:39,480
Speaker 1: on the name Crew for the vast majority of the

455
00:27:39,480 --> 00:27:41,080
Speaker 1: time I work alone on my job, but I am

456
00:27:41,119 --> 00:27:43,640
Speaker 1: lucky enough to bring my dog with me, so he's

457
00:27:43,680 --> 00:27:47,119
Speaker 1: my closest coworker and makes up my work crew. I

458
00:27:47,160 --> 00:27:51,440
Speaker 1: like it. I like it. It's good. Ah. At least

459
00:27:51,440 --> 00:27:54,080
Speaker 1: it was only a dog name, and Phil didn't name

460
00:27:54,080 --> 00:27:58,440
Speaker 1: his son Mango. Keep up the great work. Uh, That

461
00:27:58,720 --> 00:28:02,800
Speaker 1: dog scouted him. I used to could tell her to

462
00:28:02,840 --> 00:28:06,359
Speaker 1: go grab my tool belt through my framing hammer, stuff

463
00:28:06,400 --> 00:28:09,560
Speaker 1: like that, and she just loved to retrieve everything so

464
00:28:10,359 --> 00:28:12,560
Speaker 1: and I've always thought that was super fun. But then

465
00:28:12,600 --> 00:28:15,480
Speaker 1: she bit down on my framing hammer too hard when

466
00:28:15,480 --> 00:28:17,520
Speaker 1: her sister tried to come take it from her, and

467
00:28:17,560 --> 00:28:19,520
Speaker 1: then I had to sand down the handle on my

468
00:28:19,640 --> 00:28:23,640
Speaker 1: framing hammer. So that was the end of that. One

469
00:28:25,080 --> 00:28:29,240
Speaker 1: dog stores with Cal had a bunch of other I

470
00:28:29,280 --> 00:28:31,680
Speaker 1: printed out. You see, as you can see Phil and Cal,

471
00:28:31,760 --> 00:28:33,760
Speaker 1: I printed out a bunch like print it out, you guys. Here,

472
00:28:33,800 --> 00:28:35,520
Speaker 1: the printed out a bunch of emails. Yeah, this is

473
00:28:35,520 --> 00:28:39,280
Speaker 1: a professional operation. Yeah, printed them out. Why did that?

474
00:28:39,320 --> 00:28:40,720
Speaker 1: I don't know the right here on my computer, but

475
00:28:41,200 --> 00:28:44,680
Speaker 1: harkening back to the olden days, the olden days, I

476
00:28:44,800 --> 00:28:49,040
Speaker 1: printed things out. We'll go through one more here we go,

477
00:28:49,160 --> 00:28:51,280
Speaker 1: We'll go one more. We got time for one more film?

478
00:28:51,520 --> 00:28:53,440
Speaker 1: I think, so, yeah, it doesn't know how long we have.

479
00:28:53,840 --> 00:28:57,920
Speaker 1: You've got about ten minutes. Well, I like it. This

480
00:28:58,320 --> 00:29:00,000
Speaker 1: that was always my favorite radio thing. We got time

481
00:29:00,000 --> 00:29:04,160
Speaker 1: for one more? Got time for one more? Uh? This one,

482
00:29:06,240 --> 00:29:08,320
Speaker 1: I don't know. This one isn't really about what I'm

483
00:29:08,320 --> 00:29:11,480
Speaker 1: gonna read, but it's something that I think, uh, we

484
00:29:11,480 --> 00:29:15,240
Speaker 1: should talk about. This was from I'm not gonna read it,

485
00:29:15,280 --> 00:29:19,280
Speaker 1: but this guy, Clay Sauncy. It lives in Austin, where

486
00:29:19,320 --> 00:29:22,840
Speaker 1: I used to live, and was asking me what should

487
00:29:22,840 --> 00:29:26,320
Speaker 1: he do to get in touch with landowners. He said,

488
00:29:26,400 --> 00:29:28,720
Speaker 1: legend has that landowers exist that actually want hunters on

489
00:29:28,760 --> 00:29:31,720
Speaker 1: their land to help with coaling populations. I hope to

490
00:29:31,760 --> 00:29:35,440
Speaker 1: find one. I'm in the Austin area. What do I do?

491
00:29:36,600 --> 00:29:39,040
Speaker 1: And on and on it goes. I think, maybe cal

492
00:29:39,160 --> 00:29:41,320
Speaker 1: you're good for this. Myce I rode back to him,

493
00:29:41,360 --> 00:29:44,240
Speaker 1: was like, man, you gotta you can't just think that

494
00:29:44,280 --> 00:29:47,920
Speaker 1: they're landowners out there. There's no Craigslist for landowners. You

495
00:29:48,040 --> 00:29:50,440
Speaker 1: gotta not. Like it's one of the few things in

496
00:29:50,560 --> 00:29:53,040
Speaker 1: the modern Internet age where you kind of just have

497
00:29:53,120 --> 00:29:56,480
Speaker 1: to knock on doors man like yeah, or to go

498
00:29:56,560 --> 00:29:59,840
Speaker 1: to a b h A chapter meeting or ducks on

499
00:30:00,000 --> 00:30:03,080
Speaker 1: admitted or ARMF and and trying to meet people there

500
00:30:03,120 --> 00:30:06,600
Speaker 1: that that are landowners. But other than that, it's kind

501
00:30:06,600 --> 00:30:08,400
Speaker 1: of one of the few things where it ain't out

502
00:30:08,400 --> 00:30:12,040
Speaker 1: there on the internet. There's so many big operations down

503
00:30:12,040 --> 00:30:14,880
Speaker 1: there though. I mean, you could definitely use use the

504
00:30:14,920 --> 00:30:18,400
Speaker 1: internet and I just build yourself a little resume. I've

505
00:30:18,400 --> 00:30:21,320
Speaker 1: seen it done many many times. You know, if you

506
00:30:21,440 --> 00:30:28,400
Speaker 1: have UM any sort of certifications, certainly references UM and

507
00:30:28,440 --> 00:30:31,600
Speaker 1: then just kind of lay out your situation like listen,

508
00:30:31,640 --> 00:30:37,440
Speaker 1: I would be very very happy with you know, does

509
00:30:37,720 --> 00:30:41,040
Speaker 1: whatever needs to be taken off like here are the

510
00:30:41,040 --> 00:30:44,360
Speaker 1: way is to contact me. I can be ready at

511
00:30:44,400 --> 00:30:46,720
Speaker 1: in very short notice at the end of the year,

512
00:30:46,880 --> 00:30:51,360
Speaker 1: in between hunts or whatever. And then certainly you know

513
00:30:51,520 --> 00:30:56,080
Speaker 1: what you know you're willing to. I mean, you gotta

514
00:30:56,120 --> 00:30:58,400
Speaker 1: keep in mind, like high fence operations down there, which

515
00:30:58,400 --> 00:31:01,640
Speaker 1: there are many, like those animals are they definitely have

516
00:31:01,680 --> 00:31:03,640
Speaker 1: a price on their head. Doesn't matter if they're male

517
00:31:03,760 --> 00:31:08,200
Speaker 1: or female, UM, because there they are managed much more

518
00:31:08,280 --> 00:31:13,800
Speaker 1: like livestock than wild wildlife. So UM, you know, if

519
00:31:13,840 --> 00:31:17,320
Speaker 1: if you're serious about getting the meat. I would certainly

520
00:31:17,720 --> 00:31:22,280
Speaker 1: recognize the fact that that those animals cost those folks money,

521
00:31:22,560 --> 00:31:24,760
Speaker 1: which is something you sign up for when you big build,

522
00:31:24,800 --> 00:31:29,400
Speaker 1: big tall fans, and um, you know, if you don't

523
00:31:29,400 --> 00:31:32,120
Speaker 1: have the cash to part with or don't want to,

524
00:31:32,200 --> 00:31:35,640
Speaker 1: I would certainly say, you know, these are the dates

525
00:31:35,680 --> 00:31:41,600
Speaker 1: I'm I'm available to, you know, help with that fence

526
00:31:41,720 --> 00:31:47,640
Speaker 1: or feed or halls stuff around or do whatever. Um

527
00:31:47,760 --> 00:31:51,320
Speaker 1: and uh, make sure they know that you'll sign a

528
00:31:51,360 --> 00:31:54,480
Speaker 1: liability waiver as well. And then all that ship might

529
00:31:54,960 --> 00:31:59,160
Speaker 1: might accumulate to an opportunity. And if you can get

530
00:31:59,200 --> 00:32:02,520
Speaker 1: one opportunity of d you know, make sure you do

531
00:32:02,560 --> 00:32:07,080
Speaker 1: it right, and I promise you that'll grow into more opportunities. Yeah,

532
00:32:07,160 --> 00:32:09,600
Speaker 1: just like any privilege, right, you gotta earn it, you know,

533
00:32:09,680 --> 00:32:11,800
Speaker 1: by reaching out and getting that hunting privilege, and then

534
00:32:11,800 --> 00:32:14,280
Speaker 1: you gotta continue to earn it. And then I'm sure

535
00:32:14,320 --> 00:32:16,160
Speaker 1: you know a lot of places in Texas for land

536
00:32:16,240 --> 00:32:18,440
Speaker 1: owners talk, man, they got somebody that's willing to work

537
00:32:19,080 --> 00:32:22,320
Speaker 1: and get a few hunting privileges, and the neighbors to say,

538
00:32:22,480 --> 00:32:25,680
Speaker 1: you know, you might get those those folks talking, you

539
00:32:25,760 --> 00:32:28,320
Speaker 1: might get a bunch of other opportunities just out of

540
00:32:28,360 --> 00:32:30,080
Speaker 1: your hard work and your communication. Where where did you

541
00:32:30,120 --> 00:32:33,880
Speaker 1: and I hunt access to her? Oh? Man, Like, what

542
00:32:33,960 --> 00:32:37,600
Speaker 1: was the town around there? Uh? I want to say, Valdi,

543
00:32:37,800 --> 00:32:40,480
Speaker 1: I don't think I'm wrong, No, I'm wrong. It was

544
00:32:41,800 --> 00:32:44,560
Speaker 1: I know we went through that Fredericksburg or it was

545
00:32:44,600 --> 00:32:47,520
Speaker 1: close to Fredericksburg. We can just say a couple of hours, yeah,

546
00:32:47,560 --> 00:32:49,480
Speaker 1: butt into the hill country. There was just there are

547
00:32:49,520 --> 00:32:53,440
Speaker 1: a lot of access to your dead on the road, um,

548
00:32:53,640 --> 00:32:57,520
Speaker 1: you know on and I always look at that and

549
00:32:57,520 --> 00:33:00,480
Speaker 1: and uh, I'm I'm sure the land owners are the

550
00:33:00,520 --> 00:33:03,160
Speaker 1: land manager looking at that too. And I mean that

551
00:33:03,200 --> 00:33:07,680
Speaker 1: could be a situation where um, you know, I turn

552
00:33:07,760 --> 00:33:11,840
Speaker 1: that into an opportunity and say like, hey, pick up

553
00:33:11,880 --> 00:33:14,960
Speaker 1: all the trash that's collected on your three strand barbed

554
00:33:14,960 --> 00:33:18,560
Speaker 1: wire fans here, and I'd love to, you know, just

555
00:33:18,600 --> 00:33:23,480
Speaker 1: be able to shoot ad Yeah access here, it's straight, Yeah,

556
00:33:23,560 --> 00:33:25,520
Speaker 1: it's straights. Strike me as I was reading this and

557
00:33:25,560 --> 00:33:27,080
Speaker 1: thinking of like, hey, there's not a lot of good

558
00:33:27,160 --> 00:33:29,720
Speaker 1: you live in Austin, which I did for four years,

559
00:33:29,720 --> 00:33:31,840
Speaker 1: there's just not a lot of good public land hunting opportunities.

560
00:33:31,840 --> 00:33:34,160
Speaker 1: I'm not going to sugarcoat it. There's some, but it's

561
00:33:34,160 --> 00:33:39,120
Speaker 1: a drive away, um directly around town. There's a few

562
00:33:39,240 --> 00:33:42,040
Speaker 1: w m as that I won't mention, but there it's

563
00:33:42,040 --> 00:33:44,320
Speaker 1: not great. I mean, it's not great hunting. You're probably

564
00:33:44,360 --> 00:33:48,520
Speaker 1: better off doing what Kyle saying what I would suggest

565
00:33:48,520 --> 00:33:50,680
Speaker 1: and did suggest to Clay, which is go out there

566
00:33:50,680 --> 00:33:52,320
Speaker 1: and knock on doors. And it just struck me that

567
00:33:53,160 --> 00:33:55,680
Speaker 1: it is one of those few things that still requires

568
00:33:55,720 --> 00:33:58,800
Speaker 1: person to person communication. Really, that's the best way to

569
00:33:58,800 --> 00:34:00,520
Speaker 1: do it. You can write an email. The best way

570
00:34:00,560 --> 00:34:02,200
Speaker 1: to do it is to walk up and knock on

571
00:34:02,240 --> 00:34:05,040
Speaker 1: somebody's door, flag them down when they're on their tractor.

572
00:34:05,600 --> 00:34:08,279
Speaker 1: Go find the ranch hand and specifically in Texas, and

573
00:34:08,280 --> 00:34:10,640
Speaker 1: just talk to him and say, hey, man, looking for

574
00:34:11,400 --> 00:34:14,520
Speaker 1: looking for this. This is my goal and see what

575
00:34:14,560 --> 00:34:16,319
Speaker 1: you get. That's one of those few things that just

576
00:34:16,360 --> 00:34:19,520
Speaker 1: requires some Yeah, so that personal vetting is always going

577
00:34:19,560 --> 00:34:22,239
Speaker 1: to be part of the process for sure. So if

578
00:34:22,280 --> 00:34:25,520
Speaker 1: you're in that situation, go go and do that, right

579
00:34:25,680 --> 00:34:28,680
Speaker 1: right Phil? Yeah? Thanks? All right, Now we're going to

580
00:34:28,800 --> 00:34:32,440
Speaker 1: interview segment with our folks from f w P talking

581
00:34:32,480 --> 00:34:39,680
Speaker 1: wild life diseases. I guess I grew up on an

582
00:34:39,680 --> 00:34:44,680
Speaker 1: all the road We are we're here in the podcast

583
00:34:44,719 --> 00:34:47,920
Speaker 1: studio we have We usually have one person or maybe

584
00:34:47,920 --> 00:34:51,720
Speaker 1: two and feels always like looming in the background looking

585
00:34:51,719 --> 00:34:56,120
Speaker 1: creepily at people. Look at them, look at uh. We

586
00:34:56,200 --> 00:34:59,520
Speaker 1: had a whole group today. We'll start in front of

587
00:34:59,520 --> 00:35:02,840
Speaker 1: me with with Greg Lemon. Greg introduce yourself. M. Greg Lemon.

588
00:35:02,880 --> 00:35:07,839
Speaker 1: I'm the Communication and Education Division Administrator for Montana Fish,

589
00:35:07,880 --> 00:35:13,600
Speaker 1: Wildlife and Parks. Mostly they say, spokesman, spoke spokesman. Well,

590
00:35:13,760 --> 00:35:15,840
Speaker 1: we're gonna we're gonna work on that. Let see, we

591
00:35:16,800 --> 00:35:19,759
Speaker 1: see how you do. Emily introduce yourself. Sure. My name

592
00:35:19,800 --> 00:35:22,280
Speaker 1: is Emily Almenberg. I'm the disease ecologist with the Wildlife

593
00:35:22,320 --> 00:35:27,800
Speaker 1: Health Program here in Bozeman. Jennifer, Hello, I'm Jennifer Ramsay

594
00:35:27,840 --> 00:35:30,640
Speaker 1: and I'm the wildlife veterinarian for the Wildlife Health Program

595
00:35:30,680 --> 00:35:33,400
Speaker 1: based here in Bozeman. Yeah. Look, we're gonna jump right

596
00:35:33,440 --> 00:35:35,600
Speaker 1: into it because last time you guys are here, we

597
00:35:35,600 --> 00:35:38,120
Speaker 1: were talking about lots of things. Jennifer, and you brought

598
00:35:38,200 --> 00:35:40,960
Speaker 1: up something which I've already prepped the listeners on because

599
00:35:41,680 --> 00:35:43,880
Speaker 1: it is very important to me and Greg knows what

600
00:35:43,920 --> 00:35:48,200
Speaker 1: I'm about to say. I feel it's two words, two

601
00:35:48,400 --> 00:35:56,000
Speaker 1: very interesting words. Al herpies. Oh, because because what I mean,

602
00:35:56,480 --> 00:35:59,959
Speaker 1: let's just just tell the listeners about al herpies because

603
00:36:00,000 --> 00:36:02,600
Speaker 1: it's a problem, right, it's a big deal. Well, yeah,

604
00:36:02,840 --> 00:36:06,640
Speaker 1: it's so. So every year we get a few owls

605
00:36:06,680 --> 00:36:10,800
Speaker 1: that are found dead, usually under a tree somewhere, um,

606
00:36:10,800 --> 00:36:12,920
Speaker 1: and we knee cropsy those to try to confirm the

607
00:36:12,960 --> 00:36:15,520
Speaker 1: cause of death. And when we open them up, their

608
00:36:15,560 --> 00:36:19,560
Speaker 1: liver has little white spots throughout. UM. And it's a

609
00:36:19,600 --> 00:36:23,759
Speaker 1: herpes virus called Columbia herpes virus, and it's fatal to

610
00:36:23,800 --> 00:36:27,520
Speaker 1: these owls. So it's we've we founded around Bozeman for sure,

611
00:36:27,640 --> 00:36:29,400
Speaker 1: that's where we first found it, and we find it

612
00:36:29,640 --> 00:36:32,640
Speaker 1: every year. UM. And then we've also recently, well I

613
00:36:32,640 --> 00:36:34,600
Speaker 1: guess a year or so ago, we got some cases

614
00:36:34,640 --> 00:36:36,719
Speaker 1: from over by Dylan at the university. So where people

615
00:36:36,719 --> 00:36:40,160
Speaker 1: are looking for it, seems like they're finding cases. How

616
00:36:40,200 --> 00:36:42,800
Speaker 1: are they How are they contracting owl herpies? They're probably

617
00:36:42,840 --> 00:36:46,920
Speaker 1: getting it by eating um, you know, the columbid species,

618
00:36:46,920 --> 00:36:51,600
Speaker 1: So those birds are probably asymptomatic carriers UM. And as

619
00:36:51,680 --> 00:36:54,960
Speaker 1: the owls are predators and consuming these other birds, they're

620
00:36:54,960 --> 00:36:58,359
Speaker 1: getting exposed to that virus. And that's you were telling

621
00:36:58,360 --> 00:37:00,040
Speaker 1: me you have like a ranking of the topped and

622
00:37:00,160 --> 00:37:03,640
Speaker 1: wildlife based diseases. Where does al herpes rank on You

623
00:37:03,680 --> 00:37:06,160
Speaker 1: know that one doesn't make the top. We have a

624
00:37:06,200 --> 00:37:09,640
Speaker 1: list of twelve priority diseases. That one doesn't make the

625
00:37:09,680 --> 00:37:13,239
Speaker 1: top twelve m those priority diseases are based on their

626
00:37:13,320 --> 00:37:18,320
Speaker 1: potential for wildlife impact, domestic animal impact, human health impact,

627
00:37:18,320 --> 00:37:21,480
Speaker 1: and economic impact. So that's those are the reasons why

628
00:37:21,480 --> 00:37:23,640
Speaker 1: this one doesn't quite make that cut. But it's definitely

629
00:37:23,680 --> 00:37:26,640
Speaker 1: something that we um we're looking for. We have a

630
00:37:26,640 --> 00:37:31,319
Speaker 1: healthy olt population near Montana. I would I would presume, yeah,

631
00:37:31,480 --> 00:37:34,040
Speaker 1: I mean as far as I know. Um, we could

632
00:37:34,040 --> 00:37:37,120
Speaker 1: get a non game biologist the guinea numbers, but I

633
00:37:37,200 --> 00:37:40,239
Speaker 1: see them a lot where I live. It's all right

634
00:37:40,280 --> 00:37:42,640
Speaker 1: here on the Huntcliffe. We're not We're not opposed to

635
00:37:42,680 --> 00:37:47,080
Speaker 1: like really drumming something up, you know, like really make

636
00:37:47,120 --> 00:37:49,759
Speaker 1: it it seems serious when it's kind of there's a

637
00:37:49,760 --> 00:37:52,759
Speaker 1: few ales with herpes. But we can if you want,

638
00:37:52,800 --> 00:37:54,560
Speaker 1: we can make it. We can add it to the

639
00:37:54,600 --> 00:37:57,360
Speaker 1: list of like we could send out like some alerts.

640
00:37:57,840 --> 00:38:04,320
Speaker 1: I wouldn't go that far. So does the the columbion species,

641
00:38:04,360 --> 00:38:08,520
Speaker 1: what are those so pigeons. Colored doves are probably one

642
00:38:08,560 --> 00:38:12,080
Speaker 1: of the ones we've had some interest in, um, morning doves.

643
00:38:12,160 --> 00:38:16,240
Speaker 1: Morning doves, yeah, UM, so yeah, so those are common.

644
00:38:16,880 --> 00:38:20,040
Speaker 1: UM we haven't you know, done any testing on those

645
00:38:20,080 --> 00:38:23,760
Speaker 1: species yet, but UM, we would expect that it's probably

646
00:38:23,840 --> 00:38:27,080
Speaker 1: endemic there. Yeah, well, let's we should tell people what

647
00:38:27,080 --> 00:38:30,400
Speaker 1: you guys do now that we've covered off on uh

648
00:38:31,080 --> 00:38:32,719
Speaker 1: probably that this will probably be in the title of

649
00:38:32,719 --> 00:38:37,200
Speaker 1: the podcast. So I felt like I had what I

650
00:38:37,239 --> 00:38:41,400
Speaker 1: was thinking about recording this. I was thinking about recording

651
00:38:41,440 --> 00:38:47,719
Speaker 1: this like alert owls, promiscuous owls flying through the air

652
00:38:49,960 --> 00:38:56,239
Speaker 1: and what was the joke al treksh Yeah, from the medication,

653
00:39:00,000 --> 00:39:02,399
Speaker 1: So I thought maybe I thought, maybe yeah, dad joke

654
00:39:04,960 --> 00:39:10,040
Speaker 1: to a longer segment. But I'm going to lead the

655
00:39:10,040 --> 00:39:12,799
Speaker 1: show open with that. UM, Jennifer, tell us what you

656
00:39:12,840 --> 00:39:16,200
Speaker 1: do well. UM. As I mentioned, I'm a veterinarian by

657
00:39:16,239 --> 00:39:19,319
Speaker 1: training and education, So I was in private practice for

658
00:39:19,360 --> 00:39:21,960
Speaker 1: a while after at school UM, and then went back

659
00:39:22,000 --> 00:39:24,880
Speaker 1: to school UM to get a focus more on population

660
00:39:25,080 --> 00:39:30,400
Speaker 1: health UM, and then started working for Fishing Game almost

661
00:39:30,440 --> 00:39:34,040
Speaker 1: eleven years ago now, UM, and basically my role is

662
00:39:34,120 --> 00:39:38,840
Speaker 1: to oversee the wildlife health program. So that's me and Emily.

663
00:39:39,120 --> 00:39:42,360
Speaker 1: We have a technical a couple of technicians now UM

664
00:39:42,440 --> 00:39:46,080
Speaker 1: and we focus on those twelve priority diseases that have

665
00:39:46,200 --> 00:39:50,560
Speaker 1: those important impacts or potential for those important impacts UM more.

666
00:39:50,600 --> 00:39:53,080
Speaker 1: On a kind of day to day basis, it's it's

667
00:39:53,160 --> 00:39:56,480
Speaker 1: UM responding to sick and dead animal calls, UM, doing

668
00:39:56,560 --> 00:40:00,160
Speaker 1: new cropsies, trying to make sure we're collecting all the

669
00:40:00,200 --> 00:40:02,319
Speaker 1: health information that we need to be to keep kind

670
00:40:02,360 --> 00:40:04,799
Speaker 1: of an eye on what's going on with populations health

671
00:40:04,840 --> 00:40:07,600
Speaker 1: wise across the state. Yeah, and I'm sure you know

672
00:40:07,640 --> 00:40:09,400
Speaker 1: in that line of work you do not there's not

673
00:40:09,480 --> 00:40:13,520
Speaker 1: for lack of of interesting calls that you get fortely,

674
00:40:14,719 --> 00:40:17,240
Speaker 1: not at all a daily basis. Pretty much there's something

675
00:40:17,320 --> 00:40:19,720
Speaker 1: interesting in our lab. Yeah. Do you guys have a

676
00:40:19,880 --> 00:40:22,200
Speaker 1: just a particular story that kind of paints the picture

677
00:40:22,239 --> 00:40:24,280
Speaker 1: for folks of what you deal with on a daily basis.

678
00:40:24,280 --> 00:40:26,000
Speaker 1: I know, I hate when people ask questions like what's

679
00:40:26,040 --> 00:40:30,240
Speaker 1: your favorite Like, uh, what's your favorite song? Nick Jagger?

680
00:40:30,560 --> 00:40:34,080
Speaker 1: I think similar similarly poor question on my part, but

681
00:40:34,120 --> 00:40:36,000
Speaker 1: like there is there something that paints a picture for

682
00:40:36,000 --> 00:40:37,920
Speaker 1: for what kind of things you deal with? We get

683
00:40:37,960 --> 00:40:40,880
Speaker 1: a lot of UM Yeah, just to be blunt. We

684
00:40:40,920 --> 00:40:44,680
Speaker 1: get a lot of really disgusting, old rotten things to

685
00:40:44,719 --> 00:40:47,800
Speaker 1: look at to try to figure out why they died. UM,

686
00:40:47,920 --> 00:40:50,760
Speaker 1: so that's probably the I mean, the thing that stands

687
00:40:50,760 --> 00:40:54,040
Speaker 1: out about our new cropsy lab is that it's often smelly,

688
00:40:54,120 --> 00:40:57,480
Speaker 1: and people like to comment and complain about that. It's

689
00:40:57,520 --> 00:41:02,319
Speaker 1: not a glamorous job at all, I would say. So

690
00:41:02,360 --> 00:41:06,279
Speaker 1: you're digging around in them for those who are not uh,

691
00:41:06,920 --> 00:41:10,239
Speaker 1: don't have the stomach. The safest places under the air

692
00:41:10,360 --> 00:41:16,400
Speaker 1: vent you go. Maybe yeh, family, tell us what you

693
00:41:16,440 --> 00:41:20,880
Speaker 1: do within the f WP. So I work with Jennifer

694
00:41:20,920 --> 00:41:25,480
Speaker 1: and help design the state's health surveillance and monitoring programs.

695
00:41:25,480 --> 00:41:31,640
Speaker 1: So UM help lead and organize the CDBD surveillance program.

696
00:41:32,200 --> 00:41:37,000
Speaker 1: UM helped organize program to study big worn, cheap and

697
00:41:37,000 --> 00:41:41,839
Speaker 1: Mountain goat health. And we're working on some BAT proposals

698
00:41:41,880 --> 00:41:44,440
Speaker 1: to do some stuff with white nose syndrome as it

699
00:41:44,480 --> 00:41:47,640
Speaker 1: moves across the western US. So it's a mix, but

700
00:41:47,960 --> 00:41:52,360
Speaker 1: sort of thinking at the population scale, UM designing programs

701
00:41:52,360 --> 00:41:54,400
Speaker 1: to track the spread of the disease, the prevalence, and

702
00:41:54,480 --> 00:41:57,239
Speaker 1: then match it how the population does overall. I think

703
00:41:57,280 --> 00:41:59,120
Speaker 1: that's something it's something poor for us to touch on,

704
00:41:59,239 --> 00:42:03,080
Speaker 1: just you know, for you, Greg, why does FWP get

705
00:42:03,080 --> 00:42:05,480
Speaker 1: invaulved in these kind of in these kind of sciences

706
00:42:05,480 --> 00:42:07,520
Speaker 1: and biologies, and like why is this an important thing

707
00:42:07,560 --> 00:42:09,600
Speaker 1: to have? It seems like a simple and obvious answer,

708
00:42:09,680 --> 00:42:12,560
Speaker 1: but it's worth addressing. Well. Yeah, I mean, you know,

709
00:42:12,600 --> 00:42:15,160
Speaker 1: our responsibility as a department is to manage the while

710
00:42:15,200 --> 00:42:18,600
Speaker 1: I've in Montana and and um, part of that is

711
00:42:18,680 --> 00:42:23,000
Speaker 1: understanding you know, their health and you know why maybe

712
00:42:23,040 --> 00:42:26,680
Speaker 1: some populations are doing well and why maybe others are not. Um,

713
00:42:27,000 --> 00:42:30,160
Speaker 1: you know, I think some that have really besides CWD,

714
00:42:30,320 --> 00:42:32,799
Speaker 1: which has been an obvious impact for hunters, but some

715
00:42:32,960 --> 00:42:37,240
Speaker 1: other ones are like um, the pneumonia you know, issue

716
00:42:37,280 --> 00:42:42,720
Speaker 1: with big orange sheep and um, you know that's been

717
00:42:42,760 --> 00:42:47,520
Speaker 1: and you know, and so like uh Jennifer and Emily. Uh,

718
00:42:47,560 --> 00:42:49,759
Speaker 1: it's part of its lab work, but there's a lot

719
00:42:49,800 --> 00:42:52,520
Speaker 1: of field work too, and getting out in the field

720
00:42:52,520 --> 00:42:56,560
Speaker 1: and testing animals, capturing animals, testing animals. You know, that's

721
00:42:56,560 --> 00:43:00,160
Speaker 1: all part of the monitoring program. And then you know

722
00:43:00,200 --> 00:43:03,759
Speaker 1: the other piece of it is that the public uh,

723
00:43:04,080 --> 00:43:07,560
Speaker 1: you know, they see sick animals all the time, and

724
00:43:07,600 --> 00:43:11,040
Speaker 1: so having the resources so that the public can get

725
00:43:11,040 --> 00:43:13,840
Speaker 1: some of their questions answered. So if they see a

726
00:43:13,880 --> 00:43:17,800
Speaker 1: dead owl, I mean, they're not gonna they listen to

727
00:43:21,320 --> 00:43:24,640
Speaker 1: They're not gonna first right off the bat. I mean

728
00:43:24,719 --> 00:43:30,200
Speaker 1: they will now they're not gonna suspect purps. But you know,

729
00:43:30,360 --> 00:43:33,120
Speaker 1: and I mean those sorts of things. It's important um

730
00:43:33,160 --> 00:43:36,800
Speaker 1: for people. We want people to you know, be passionate

731
00:43:36,840 --> 00:43:39,200
Speaker 1: and engage about wildlife, and so we want to provide

732
00:43:39,200 --> 00:43:42,160
Speaker 1: them answers and and assurance that we're on the ball

733
00:43:42,200 --> 00:43:45,719
Speaker 1: and and keep monitoring things. And so that's the reason

734
00:43:45,960 --> 00:43:47,319
Speaker 1: I think there's two angles at that that I look

735
00:43:47,360 --> 00:43:48,960
Speaker 1: at it when we talk last time. It's just like

736
00:43:49,880 --> 00:43:54,160
Speaker 1: the hunters and outdoorsmen and folks and outdoors women in

737
00:43:54,200 --> 00:43:57,120
Speaker 1: this state and then any other state, understanding that there's

738
00:43:57,440 --> 00:44:01,000
Speaker 1: that you guys are working for them and vice versa.

739
00:44:01,360 --> 00:44:03,440
Speaker 1: You know, they can work for you. There's things they

740
00:44:03,480 --> 00:44:04,920
Speaker 1: can do to help you. So that was one of

741
00:44:04,960 --> 00:44:07,040
Speaker 1: the things that I thought about after our original chat

742
00:44:07,040 --> 00:44:09,080
Speaker 1: that I think it's important for people to know and

743
00:44:09,120 --> 00:44:11,440
Speaker 1: to understand that that it can go both ways. You know,

744
00:44:11,800 --> 00:44:14,440
Speaker 1: you can come and ask questions, you can present a

745
00:44:14,480 --> 00:44:16,839
Speaker 1: situation and get help from the FWP but you can

746
00:44:16,920 --> 00:44:19,720
Speaker 1: also be very helpful in what you see in reporting

747
00:44:19,760 --> 00:44:22,880
Speaker 1: it into folks like Jennifer and Emily. When it comes

748
00:44:22,920 --> 00:44:25,960
Speaker 1: to those diseases. UM, so I think we should probably

749
00:44:25,960 --> 00:44:30,640
Speaker 1: just go through those twelve diseases and it'll take us.

750
00:44:32,280 --> 00:44:34,520
Speaker 1: We'll be here the rest of the day. We'll get

751
00:44:34,520 --> 00:44:37,960
Speaker 1: a break and then it we'll take a quick interlude

752
00:44:38,760 --> 00:44:41,480
Speaker 1: to take a breath. We may get through all twelve.

753
00:44:41,520 --> 00:44:43,640
Speaker 1: We make it through five. We've already covered number thirteen,

754
00:44:43,680 --> 00:44:47,920
Speaker 1: which is would you call it was a number thirteen

755
00:44:47,960 --> 00:44:53,360
Speaker 1: if it wasn't twelve, maybe not quite number thirteen, but

756
00:44:53,440 --> 00:45:02,000
Speaker 1: it's yeah, it's an interesting it's an interesting twenty. What's that?

757
00:45:02,120 --> 00:45:06,040
Speaker 1: What's number one? UM? I think number one was probably

758
00:45:06,160 --> 00:45:08,759
Speaker 1: chronic wasasting disease or bruthulosis. I don't have that list

759
00:45:08,760 --> 00:45:10,600
Speaker 1: in front of me, but UM and in the top

760
00:45:10,640 --> 00:45:12,600
Speaker 1: twelve are not ranked in order, so right, it's not

761
00:45:12,960 --> 00:45:15,800
Speaker 1: this is at a listical people, No, this is Yeah.

762
00:45:15,840 --> 00:45:21,200
Speaker 1: I think those two were kind of the big guns

763
00:45:21,920 --> 00:45:24,480
Speaker 1: UM that we spend a lot of time and resources

764
00:45:24,520 --> 00:45:28,759
Speaker 1: and effort working working on UM and obviously you know

765
00:45:29,000 --> 00:45:31,480
Speaker 1: there there are so many different facets to both of

766
00:45:31,480 --> 00:45:37,240
Speaker 1: those populate wildlife population impacts you know, landowners, landowners are impacted, hunters,

767
00:45:37,920 --> 00:45:41,440
Speaker 1: um so, and you know it's it's ah, those are

768
00:45:41,520 --> 00:45:44,279
Speaker 1: They got a lot of a lot of reasons why

769
00:45:44,360 --> 00:45:46,560
Speaker 1: those are at the top of the list. Yeah, I

770
00:45:46,560 --> 00:45:48,880
Speaker 1: think that this is the way I was also thinking

771
00:45:48,880 --> 00:45:52,200
Speaker 1: about going through this conversation is kind of what is it?

772
00:45:52,560 --> 00:45:54,759
Speaker 1: Because I think we say things and assume people know

773
00:45:54,840 --> 00:45:57,359
Speaker 1: exactly we say TSC and we assume people know what

774
00:45:57,400 --> 00:46:00,560
Speaker 1: that is, um, you know, and why eyes it matter

775
00:46:00,640 --> 00:46:03,600
Speaker 1: for wildlife? And then and then that the I think

776
00:46:03,600 --> 00:46:06,120
Speaker 1: maybe the most important question, maybe even for Greg there's

777
00:46:06,120 --> 00:46:10,160
Speaker 1: somebody that's looking from the outside, is like, what what's

778
00:46:10,160 --> 00:46:13,120
Speaker 1: the impact on wanted? Politically, Like a lot of these

779
00:46:13,120 --> 00:46:16,600
Speaker 1: CWD is a very political thing. Brucellosis is very politically.

780
00:46:16,600 --> 00:46:19,759
Speaker 1: We can't really It's almost seems like you can't touch

781
00:46:19,840 --> 00:46:22,839
Speaker 1: one of these wildlife diseases that doesn't have some sort

782
00:46:22,880 --> 00:46:25,480
Speaker 1: of push and pull from a political and even from

783
00:46:26,239 --> 00:46:31,879
Speaker 1: the communications angle. They all seem to have some some issue. Yeah. Well,

784
00:46:31,920 --> 00:46:34,759
Speaker 1: I mean when you're in a in a state that

785
00:46:34,960 --> 00:46:38,000
Speaker 1: one you know has a like Montana with such a

786
00:46:38,120 --> 00:46:43,000
Speaker 1: robust outdoor recreation economy for one too, with a really

787
00:46:43,520 --> 00:46:51,359
Speaker 1: um generational and important um ranching and livestock economy and

788
00:46:51,560 --> 00:46:56,880
Speaker 1: culture like those things. Uh So wildlife diseases really really

789
00:46:57,280 --> 00:47:01,320
Speaker 1: impact those discussions. And so you know, whether it's brucellosis

790
00:47:01,400 --> 00:47:04,560
Speaker 1: or c w D. Yeah, I mean, there's just when

791
00:47:04,560 --> 00:47:06,200
Speaker 1: you know about it and you learn about it, and

792
00:47:06,239 --> 00:47:09,680
Speaker 1: if you hunt or you care about wildlife, you're going

793
00:47:09,760 --> 00:47:12,160
Speaker 1: to be interested, and if you make a living off

794
00:47:12,200 --> 00:47:15,759
Speaker 1: the land, you're going to be interested. Yeah. So that's

795
00:47:15,760 --> 00:47:17,799
Speaker 1: what strikes me for for everyone, just to understand as

796
00:47:17,840 --> 00:47:20,239
Speaker 1: you talk about these things that they they have such

797
00:47:20,360 --> 00:47:25,080
Speaker 1: deep impact not only like economically but culturally when these

798
00:47:25,080 --> 00:47:29,279
Speaker 1: diseases shift our wildlife management policies dramatically when they get

799
00:47:29,360 --> 00:47:33,239
Speaker 1: entered into a UM. So let's start with c w D.

800
00:47:33,360 --> 00:47:36,120
Speaker 1: That's something we definitely want to cover. UM. We got

801
00:47:36,160 --> 00:47:38,120
Speaker 1: a couple of other things like action items for you

802
00:47:38,160 --> 00:47:40,960
Speaker 1: as listeners too, that you can do to help these folks. UM,

803
00:47:41,040 --> 00:47:44,120
Speaker 1: but Emily, you want to try to just tackle explaining

804
00:47:44,160 --> 00:47:46,840
Speaker 1: c w D. Sure, it's a chronic wasting disease is

805
00:47:46,880 --> 00:47:49,799
Speaker 1: a fatal neurologic disease. Members of the dear families, so

806
00:47:50,520 --> 00:47:54,359
Speaker 1: dear elk, moose and caribou UM, and it's caused by

807
00:47:54,360 --> 00:47:58,960
Speaker 1: an infectious pre on proteins. This is a misfolded protein UM.

808
00:47:59,160 --> 00:48:02,840
Speaker 1: We have prem proteins throughout our bodies. Mammals do UM

809
00:48:02,920 --> 00:48:06,600
Speaker 1: and but this missfolded version when it comes in contact

810
00:48:06,600 --> 00:48:09,560
Speaker 1: with the healthy form, causes the healthy form to missfold.

811
00:48:09,680 --> 00:48:12,560
Speaker 1: We're gonna Phil, can you be I want you to

812
00:48:12,600 --> 00:48:16,280
Speaker 1: listen to this and then let us know that you understand. Okay,

813
00:48:16,440 --> 00:48:20,880
Speaker 1: we're going to use you as a every man. So

814
00:48:21,000 --> 00:48:26,120
Speaker 1: you have this little protein that missfolding with another protein,

815
00:48:26,200 --> 00:48:28,000
Speaker 1: and it causes it to miss fold, and suddenly you

816
00:48:28,040 --> 00:48:30,000
Speaker 1: get a whole bunch of these that don't work the

817
00:48:30,000 --> 00:48:33,000
Speaker 1: way they're intended to, and it causes tissue death and

818
00:48:33,040 --> 00:48:36,600
Speaker 1: eventually causes the death of the animal UM. The nearly

819
00:48:36,680 --> 00:48:38,959
Speaker 1: thing is that it's not one of your traditional infectious agents.

820
00:48:39,000 --> 00:48:42,000
Speaker 1: It's not a bacteria, not a virus UM, and so

821
00:48:42,200 --> 00:48:48,160
Speaker 1: it's it is UM difficult. Uh. It doesn't have genetic materials,

822
00:48:48,160 --> 00:48:49,920
Speaker 1: so we can't track it the way we can viruses

823
00:48:49,920 --> 00:48:54,799
Speaker 1: and bacteria UM. And it causes Yeah, in the end,

824
00:48:54,960 --> 00:48:57,680
Speaker 1: it causes death UM over about a two year period,

825
00:48:59,160 --> 00:49:02,520
Speaker 1: and it's transmiss bowl through a whole range of avenues.

826
00:49:02,560 --> 00:49:06,239
Speaker 1: So it's shed through feces and um, urine and through saliva.

827
00:49:07,120 --> 00:49:10,160
Speaker 1: So during the animal's course infection, they can contact one

828
00:49:10,200 --> 00:49:13,120
Speaker 1: another and transmit it that way through through close contact

829
00:49:13,239 --> 00:49:16,000
Speaker 1: nose nose contact, But then it's also being shed through

830
00:49:16,000 --> 00:49:18,640
Speaker 1: these feces and urine and then upon um death through

831
00:49:18,640 --> 00:49:23,279
Speaker 1: the bodily tissues. And those preons are remarkably resistant to degradation,

832
00:49:23,560 --> 00:49:26,160
Speaker 1: and it's thought that they can remain infectious for at

833
00:49:26,239 --> 00:49:28,280
Speaker 1: least two years in the environment. So there's an environmental

834
00:49:28,320 --> 00:49:31,400
Speaker 1: transmission component too. If an elk comes along and graze

835
00:49:31,480 --> 00:49:33,200
Speaker 1: or a deer comes along and graze is a spot

836
00:49:33,239 --> 00:49:37,200
Speaker 1: where UM an infected animal had recently urinated or had died,

837
00:49:37,400 --> 00:49:40,279
Speaker 1: you know, potentially they could become infected that way. Yeah. There,

838
00:49:40,640 --> 00:49:42,960
Speaker 1: we've we talked about last time a little bit. Greg

839
00:49:42,960 --> 00:49:45,640
Speaker 1: even there being we say CDWD and have become there

840
00:49:45,640 --> 00:49:49,160
Speaker 1: becomes some issue fatigued. People were always here at this company.

841
00:49:49,200 --> 00:49:54,239
Speaker 1: I think in a lot of UM conservation organizations. I

842
00:49:54,280 --> 00:49:57,520
Speaker 1: know UM for example, q DMA is always talking about CWD,

843
00:49:57,560 --> 00:50:00,200
Speaker 1: and there's always a CDWD conference that se like a

844
00:50:00,280 --> 00:50:03,400
Speaker 1: bunch of old, stuffy people talking about this disease, and

845
00:50:03,840 --> 00:50:06,600
Speaker 1: it just seems like there could be some fatigue around

846
00:50:07,120 --> 00:50:09,359
Speaker 1: the way that we treat it UM. And so I'm

847
00:50:09,400 --> 00:50:11,040
Speaker 1: I'm sensitive to that because I don't I don't want

848
00:50:11,040 --> 00:50:14,160
Speaker 1: that to because it's an important thing, UM for us.

849
00:50:14,280 --> 00:50:18,200
Speaker 1: So first fill do you you're getting us? UM? I

850
00:50:18,200 --> 00:50:21,520
Speaker 1: think I gotta C minus in biology in high school

851
00:50:22,040 --> 00:50:24,520
Speaker 1: and didn't do my homework. But it sounds like a disease.

852
00:50:24,520 --> 00:50:27,200
Speaker 1: It basically just wants that doesn't want to explain it

853
00:50:27,200 --> 00:50:30,920
Speaker 1: back to us, explain it said, I have to. Can

854
00:50:30,920 --> 00:50:37,360
Speaker 1: I excuse myself to you the restroom? UM. So c

855
00:50:37,640 --> 00:50:41,120
Speaker 1: w D is something that's that is prevalent. It's not

856
00:50:41,480 --> 00:50:44,320
Speaker 1: prevalent maybe not the right term. In Montana, it exists.

857
00:50:44,719 --> 00:50:47,839
Speaker 1: We're still trying to determine prevalence in some places. So

858
00:50:47,920 --> 00:50:52,200
Speaker 1: we're um a full distribution. Yeah, yeah, So that's that's

859
00:50:52,239 --> 00:50:55,319
Speaker 1: our part of our surveillance. The Emilies designed YEA and

860
00:50:55,400 --> 00:50:59,080
Speaker 1: so quickly to touch on what hunters can do or

861
00:50:59,120 --> 00:51:01,719
Speaker 1: not do to help UM. Prior to what we're gonna

862
00:51:01,719 --> 00:51:04,920
Speaker 1: talk about with LIMP nodes. Well, there's a lot about

863
00:51:05,280 --> 00:51:07,239
Speaker 1: I had somebody right in about they didn't understand why

864
00:51:07,320 --> 00:51:09,680
Speaker 1: that they had to put their deer carcass in a dumpster,

865
00:51:10,160 --> 00:51:12,600
Speaker 1: Like what does that mean? Why? Why does that matter?

866
00:51:12,600 --> 00:51:15,919
Speaker 1: So can you guys walk walk folks through that. Yeah,

867
00:51:16,000 --> 00:51:17,920
Speaker 1: So one of the one of the things folks will

868
00:51:17,960 --> 00:51:20,040
Speaker 1: notice we have these management zones. Now, one of the

869
00:51:20,239 --> 00:51:22,440
Speaker 1: one of the key components of a management zone is

870
00:51:22,480 --> 00:51:26,480
Speaker 1: a transport restriction. As Emily just described, you know that

871
00:51:26,520 --> 00:51:29,680
Speaker 1: a carcass of an infected animal contains prions which can

872
00:51:29,719 --> 00:51:32,120
Speaker 1: then deserve as a source of infection to another animal.

873
00:51:32,200 --> 00:51:34,360
Speaker 1: So what we don't want to do is bring an

874
00:51:34,400 --> 00:51:38,400
Speaker 1: infected animal, especially to an area that's doesn't have CDBD,

875
00:51:38,600 --> 00:51:41,799
Speaker 1: and dump that thing there and introduce the disease. And

876
00:51:41,880 --> 00:51:44,520
Speaker 1: that's and this is this isn't a disease that can

877
00:51:44,560 --> 00:51:47,040
Speaker 1: move around really any other way. I mean, we will

878
00:51:47,040 --> 00:51:50,440
Speaker 1: talk about captive servants here in a minute, but that's

879
00:51:50,760 --> 00:51:52,399
Speaker 1: as far as what a hunter can do. If you're

880
00:51:52,800 --> 00:51:55,480
Speaker 1: kill a deer in Iowa and drive it across the Pennsylvania,

881
00:51:55,480 --> 00:51:57,960
Speaker 1: you've now taken those preons on a ride to a

882
00:51:58,040 --> 00:52:00,880
Speaker 1: lot of different places. And so that's it. States like

883
00:52:00,920 --> 00:52:04,839
Speaker 1: Wisconsin that others have introduced these carcass dumpsters where you

884
00:52:04,840 --> 00:52:07,799
Speaker 1: can go and dispose of that carcass without moving it

885
00:52:07,800 --> 00:52:10,760
Speaker 1: to any other to any other place, spreading this pons around.

886
00:52:11,440 --> 00:52:12,960
Speaker 1: And you guys, we don't need to get in again

887
00:52:13,000 --> 00:52:14,840
Speaker 1: to the political part of captive service. But how do

888
00:52:14,920 --> 00:52:17,960
Speaker 1: the captive service industry contribute to the spread of c

889
00:52:18,160 --> 00:52:22,080
Speaker 1: w D. I mean, nationally and even internationally, there have

890
00:52:22,160 --> 00:52:25,360
Speaker 1: been cases um where they think they can link infections

891
00:52:25,360 --> 00:52:30,240
Speaker 1: and wild populations to initially, you know, a captive facility. UM.

892
00:52:30,360 --> 00:52:33,520
Speaker 1: The captive conditions means that lots of animals in close

893
00:52:33,520 --> 00:52:35,440
Speaker 1: contact and you can get high prevalence in a fairly

894
00:52:35,480 --> 00:52:39,400
Speaker 1: short window of time. And if there's any any contact

895
00:52:39,440 --> 00:52:42,239
Speaker 1: with wild servits across a fence line, for example, you

896
00:52:42,280 --> 00:52:45,799
Speaker 1: know that presents an opportunity for transmission and spread. UM.

897
00:52:45,840 --> 00:52:48,799
Speaker 1: The captive SERVIID industry is well aware of C two

898
00:52:48,800 --> 00:52:50,880
Speaker 1: beuty and there are a lot of checks in place

899
00:52:50,920 --> 00:52:54,080
Speaker 1: to try and keep herds healthy and you know keep

900
00:52:54,160 --> 00:52:57,879
Speaker 1: CTBT free certified herds. So there, I mean, I think

901
00:52:57,960 --> 00:53:00,439
Speaker 1: there are many people doing due diligence on that point.

902
00:53:00,520 --> 00:53:04,600
Speaker 1: But UM, it has probably been linked to a number

903
00:53:04,640 --> 00:53:08,600
Speaker 1: of cases across The first time it showed up in

904
00:53:08,640 --> 00:53:13,239
Speaker 1: Montana was in a captive facility in UH in nineties,

905
00:53:14,239 --> 00:53:18,360
Speaker 1: in the late nineties around Phillipsburg. Yeah, So there's generally

906
00:53:18,400 --> 00:53:21,080
Speaker 1: the idea is that in a breeder population of books

907
00:53:21,160 --> 00:53:23,960
Speaker 1: that you're you're gonna put, you know, put a deer

908
00:53:23,960 --> 00:53:26,120
Speaker 1: in a trailer and drive it from here to there.

909
00:53:26,120 --> 00:53:28,280
Speaker 1: If you're selling it or you're moving it around to breed,

910
00:53:28,480 --> 00:53:31,960
Speaker 1: or you're using these deer to to propagate captive populations,

911
00:53:32,000 --> 00:53:33,760
Speaker 1: you got to move them around just like you do cattle,

912
00:53:33,800 --> 00:53:36,920
Speaker 1: the same kind of idea, And so that's what generally

913
00:53:36,920 --> 00:53:40,279
Speaker 1: the argument is against these things. Yeah, I mean, the

914
00:53:40,360 --> 00:53:44,960
Speaker 1: Department of Livestock has a program where animals have to

915
00:53:45,000 --> 00:53:46,719
Speaker 1: be monitored for a period of time if they're gonna

916
00:53:46,719 --> 00:53:49,279
Speaker 1: be moved around UH, and they have to be sort

917
00:53:49,320 --> 00:53:52,520
Speaker 1: of in this C two B D certified UM programs

918
00:53:52,520 --> 00:53:56,000
Speaker 1: C to be sort of a free certified program UM.

919
00:53:56,080 --> 00:53:58,520
Speaker 1: So there are there are checks and if if you

920
00:53:58,560 --> 00:54:01,040
Speaker 1: did find up finding C to be on in a facility,

921
00:54:01,560 --> 00:54:04,040
Speaker 1: the Department Livestock would immediately start looking at all the

922
00:54:04,080 --> 00:54:06,359
Speaker 1: records for animals being brought in and where they where

923
00:54:06,400 --> 00:54:08,000
Speaker 1: do they come from, and what was the history to

924
00:54:08,040 --> 00:54:11,879
Speaker 1: try and to find out exactly where it came from UM. So, yeah,

925
00:54:11,880 --> 00:54:14,040
Speaker 1: they're not moving animals, Willy nilly, I mean there has

926
00:54:14,120 --> 00:54:17,480
Speaker 1: to be. And it's gotten much much better, you know,

927
00:54:17,520 --> 00:54:21,919
Speaker 1: over the last decade. Yeah, it's very much improved, Greg,

928
00:54:21,960 --> 00:54:24,600
Speaker 1: And you just quickly touched on from your perspective from

929
00:54:24,640 --> 00:54:28,520
Speaker 1: from f WP. You know what, what's what's the political

930
00:54:28,520 --> 00:54:31,080
Speaker 1: issue here? You know what, what are the forces at work?

931
00:54:31,320 --> 00:54:34,479
Speaker 1: Kind of you know, there's a lot of funding that

932
00:54:34,480 --> 00:54:36,840
Speaker 1: that needs done with CBD that's being halted. Are what

933
00:54:36,880 --> 00:54:38,719
Speaker 1: are the forces at work in your mind? We don't

934
00:54:38,719 --> 00:54:40,640
Speaker 1: need to get too deep into these things, but it's

935
00:54:40,680 --> 00:54:46,799
Speaker 1: worth addressing. Yeah. Well, uh so, I think the UM

936
00:54:47,000 --> 00:54:50,400
Speaker 1: for us right now, the reality is is, uh, we

937
00:54:50,480 --> 00:54:53,880
Speaker 1: have our system legislature. They meet every other year and

938
00:54:53,920 --> 00:54:58,200
Speaker 1: in the interim we uh interact a lot with the

939
00:54:58,280 --> 00:55:01,279
Speaker 1: Environmental Quality Council, which is an interim committee that looks

940
00:55:01,280 --> 00:55:04,799
Speaker 1: at a lot of natural resource issues and particularly you know,

941
00:55:04,840 --> 00:55:08,600
Speaker 1: a lot of wildlife issues, and they're interested. Uh, their

942
00:55:08,640 --> 00:55:13,480
Speaker 1: interest is peaked on cwd UM primarily because of the

943
00:55:13,560 --> 00:55:18,640
Speaker 1: surprise that the discovery and Libby was UM for them.

944
00:55:18,800 --> 00:55:22,400
Speaker 1: For us, UM, you we weren't doing any UM targeted

945
00:55:22,480 --> 00:55:26,840
Speaker 1: surveillance and Libby um and it and and we found

946
00:55:26,840 --> 00:55:30,800
Speaker 1: a symptomatic animal that was positive. And so they're they're

947
00:55:30,880 --> 00:55:34,399
Speaker 1: coming at it um as sort of, well, what can

948
00:55:34,440 --> 00:55:38,320
Speaker 1: we do, like, how can we we collectively as a

949
00:55:38,320 --> 00:55:41,080
Speaker 1: as a state and as a wildlife agency? I mean,

950
00:55:41,120 --> 00:55:43,719
Speaker 1: what are we doing? What? What can we do? What

951
00:55:43,760 --> 00:55:48,080
Speaker 1: can hunters do? And so there's there's some um political

952
00:55:48,120 --> 00:55:52,480
Speaker 1: pressure there. That's not really a surprise. I mean it's

953
00:55:52,560 --> 00:55:54,879
Speaker 1: it's you know, we've been really concerned about it too

954
00:55:54,880 --> 00:55:58,680
Speaker 1: and been trying to spread the word. UM. So you know,

955
00:55:58,760 --> 00:56:03,680
Speaker 1: there's that there's that probably the most acute right now. UM.

956
00:56:03,760 --> 00:56:05,759
Speaker 1: And I think that let Libby, You're we were talking

957
00:56:05,760 --> 00:56:08,319
Speaker 1: about the situation and Libby explain to folks kind of

958
00:56:08,400 --> 00:56:10,840
Speaker 1: it's a it's a unique way that that mule deer

959
00:56:11,040 --> 00:56:15,480
Speaker 1: kind of inhabit Libby. Well, yeah, so Libby's population is

960
00:56:15,520 --> 00:56:19,919
Speaker 1: white tail. And and in Montana, we've got a lot

961
00:56:19,960 --> 00:56:24,160
Speaker 1: of a lot of towns have deer that are even

962
00:56:24,200 --> 00:56:28,319
Speaker 1: if they're not resident, populations are in and out of town. Um,

963
00:56:28,719 --> 00:56:32,359
Speaker 1: you know, a lot of I mean, dare dare I say?

964
00:56:32,600 --> 00:56:35,919
Speaker 1: All of our communities in Montana were built and we're

965
00:56:36,080 --> 00:56:40,479
Speaker 1: developed in deer habitat and so, um so Libby has

966
00:56:40,520 --> 00:56:44,840
Speaker 1: a has a resident white tail population. There's no real

967
00:56:44,960 --> 00:56:49,200
Speaker 1: certainty on how c w D got there. Um but

968
00:56:49,719 --> 00:56:53,319
Speaker 1: uh it it showed up in uh you know, in

969
00:56:53,360 --> 00:56:58,040
Speaker 1: a white tail dough is that right? And then you know,

970
00:56:58,080 --> 00:57:01,319
Speaker 1: we we had started looking at it more. We we

971
00:57:01,440 --> 00:57:05,920
Speaker 1: worked with the Libby Police Department and citizens to you know,

972
00:57:06,000 --> 00:57:07,799
Speaker 1: we set up a hotline. They call us when they

973
00:57:07,840 --> 00:57:13,520
Speaker 1: saw symptomatic deer. Which symptomatic deer are you know skinny

974
00:57:13,640 --> 00:57:18,720
Speaker 1: uh lethargic, disoriented? You know? Yeah, you quite often here

975
00:57:18,840 --> 00:57:26,800
Speaker 1: zombie deer. Yeah, roll every time you read like something

976
00:57:26,840 --> 00:57:29,040
Speaker 1: in the New York Times or some sort of like

977
00:57:29,880 --> 00:57:33,200
Speaker 1: non endemic publication like zombie deer can pass the disease

978
00:57:33,240 --> 00:57:37,080
Speaker 1: onto humans. Yeah. So it turns out there there was

979
00:57:37,440 --> 00:57:39,040
Speaker 1: you know, we were able to get a lot more

980
00:57:39,240 --> 00:57:42,200
Speaker 1: uh do some quite a few more samples of animals

981
00:57:42,200 --> 00:57:44,400
Speaker 1: and Libby. I think to date we're close to a

982
00:57:44,480 --> 00:57:48,120
Speaker 1: hundred and thirty animals that we've sampled and we've had

983
00:57:48,160 --> 00:57:52,960
Speaker 1: ten positives. Thus far from right around Libby. Um but

984
00:57:54,160 --> 00:57:57,240
Speaker 1: uh so, so Libby had it has a pretty robust

985
00:57:58,000 --> 00:58:02,280
Speaker 1: uh local deer population of White Hills and it is

986
00:58:02,320 --> 00:58:06,720
Speaker 1: sort of the textbook definition of artificial aggregation of of

987
00:58:06,840 --> 00:58:10,960
Speaker 1: deer um. You know, they find they find food and

988
00:58:11,240 --> 00:58:16,480
Speaker 1: shelter and security in town, and and so they their

989
00:58:16,640 --> 00:58:19,640
Speaker 1: their population grew and and a lot of those animals

990
00:58:19,880 --> 00:58:23,280
Speaker 1: are in Libby like they are in other towns were

991
00:58:23,840 --> 00:58:28,120
Speaker 1: we're born, raised and died in town. In town, yeah, yeah,

992
00:58:28,160 --> 00:58:30,680
Speaker 1: that's when you go there. It's like there's other towns

993
00:58:30,720 --> 00:58:33,080
Speaker 1: around the west where they're elk walking around town, and

994
00:58:33,560 --> 00:58:35,320
Speaker 1: you'll be walking around town. But it's still to me,

995
00:58:35,360 --> 00:58:37,760
Speaker 1: I'm an East Coast guy, so I'm like, I'd like

996
00:58:37,800 --> 00:58:41,760
Speaker 1: to live in that town. I can really get into

997
00:58:41,760 --> 00:58:43,400
Speaker 1: the habits of white tail deer if I lived there.

998
00:58:44,440 --> 00:58:46,880
Speaker 1: But Libby was a place where we weren't, so we

999
00:58:46,960 --> 00:58:51,520
Speaker 1: are are. Surveillance has been focused on areas in Montana

1000
00:58:51,600 --> 00:58:56,000
Speaker 1: that are neighboring provinces or states where they're c w

1001
00:58:56,120 --> 00:59:01,080
Speaker 1: D positive. So when this program started UM a couple

1002
00:59:01,120 --> 00:59:04,320
Speaker 1: of years ago, that was our focus, and Libby doesn't

1003
00:59:04,840 --> 00:59:08,480
Speaker 1: doesn't fit into that UM, So it wasn't a place

1004
00:59:08,480 --> 00:59:10,960
Speaker 1: where we are doing priority of surveillance. But but we

1005
00:59:11,120 --> 00:59:13,440
Speaker 1: have been in Emily and Jeffer can speak more of

1006
00:59:13,440 --> 00:59:17,600
Speaker 1: this We've been testing symptomatic animals all along, so if

1007
00:59:17,640 --> 00:59:21,640
Speaker 1: somebody sees it, somebody we get a deer, like a

1008
00:59:21,640 --> 00:59:24,840
Speaker 1: awarden comes in with a deer that that somebody has

1009
00:59:24,880 --> 00:59:28,160
Speaker 1: called about or something, and we test it for it

1010
00:59:28,160 --> 00:59:30,560
Speaker 1: looks like it's c w D, or it could be

1011
00:59:30,720 --> 00:59:32,560
Speaker 1: we test it for c w D. We've been doing

1012
00:59:32,600 --> 00:59:35,880
Speaker 1: that all along, and that's how that's how this one

1013
00:59:35,920 --> 00:59:38,800
Speaker 1: got picked up. Yeah. I imagine as if you're looking

1014
00:59:38,840 --> 00:59:41,280
Speaker 1: to as the best way to have a resource a

1015
00:59:41,400 --> 00:59:44,160
Speaker 1: deer live in town, people can easily call you, like

1016
00:59:44,200 --> 00:59:47,360
Speaker 1: there's some advantage to identifying disease in that environment, right

1017
00:59:47,360 --> 00:59:52,200
Speaker 1: because the wildlife people. Yeah, well it's kind of always visible.

1018
00:59:52,600 --> 00:59:55,720
Speaker 1: Yeah that way. Um, Jennifer, you want to kind of

1019
00:59:55,840 --> 01:00:00,960
Speaker 1: tackle what f WP is doing to I guess let's

1020
01:00:00,960 --> 01:00:04,320
Speaker 1: take first, um, combat the disease, and then we'll talk

1021
01:00:04,360 --> 01:00:07,320
Speaker 1: about how to tackle awareness and things after. But yeah,

1022
01:00:07,360 --> 01:00:10,640
Speaker 1: what's the what's the plan to to tackle CWG. Yeah?

1023
01:00:10,680 --> 01:00:13,200
Speaker 1: I I should probably pass that on too, Emily because

1024
01:00:13,200 --> 01:00:16,240
Speaker 1: she has been to more of these large group meetings

1025
01:00:16,240 --> 01:00:19,400
Speaker 1: with other states on management plans and help to help

1026
01:00:19,440 --> 01:00:24,400
Speaker 1: to actually draft some of those UM management strategies. Yeah. Sure,

1027
01:00:24,440 --> 01:00:28,680
Speaker 1: so there the this disease takes a long time to

1028
01:00:28,720 --> 01:00:30,720
Speaker 1: progress to the point where we see population decline, and

1029
01:00:30,720 --> 01:00:32,520
Speaker 1: it takes a long time to turn it around if

1030
01:00:32,560 --> 01:00:34,840
Speaker 1: we are able in fact to do so. UM. So,

1031
01:00:34,880 --> 01:00:38,760
Speaker 1: there have been a number of attempts that suggests there

1032
01:00:38,840 --> 01:00:40,720
Speaker 1: might be some tools out there that work, and those

1033
01:00:40,760 --> 01:00:42,560
Speaker 1: are the ones we're trying to replicate now at a

1034
01:00:42,640 --> 01:00:45,840
Speaker 1: much larger scale across the western US. UM. And those

1035
01:00:45,840 --> 01:00:51,320
Speaker 1: things include UM targeting bucks, so, particularly for mule deer,

1036
01:00:51,760 --> 01:00:54,320
Speaker 1: bucks are typically two to three times as likely to

1037
01:00:54,360 --> 01:00:57,200
Speaker 1: be positive and females, and so if we are trying

1038
01:00:57,240 --> 01:01:01,000
Speaker 1: to knock down the most prevalent portion of the population, UM,

1039
01:01:01,040 --> 01:01:02,560
Speaker 1: you know, that's one way to do it. Is there

1040
01:01:02,600 --> 01:01:06,680
Speaker 1: a reason for that? We think it's behavioral. UM Bucks

1041
01:01:06,720 --> 01:01:09,120
Speaker 1: during the rut are contacting one another and they're contacting

1042
01:01:09,160 --> 01:01:14,120
Speaker 1: does quite a bit. And yeah, presumably that's that's how

1043
01:01:14,160 --> 01:01:17,680
Speaker 1: they're getting infected through intense contact during that time. It's

1044
01:01:17,720 --> 01:01:19,480
Speaker 1: not that they're more gregarious, but during the RUD they're

1045
01:01:19,480 --> 01:01:21,720
Speaker 1: more aggressive they're making contact with I mean, it could

1046
01:01:21,760 --> 01:01:23,800
Speaker 1: be that they're more gregarious during certain times the year.

1047
01:01:23,800 --> 01:01:26,760
Speaker 1: I'm not I'm not exactly sure. UM when I mean

1048
01:01:26,760 --> 01:01:28,560
Speaker 1: they could be picking it up at any time during

1049
01:01:28,560 --> 01:01:31,600
Speaker 1: the year, visiting rub sites, you know, and rubbing on

1050
01:01:31,640 --> 01:01:34,480
Speaker 1: the site. So in any case, we think it's probably

1051
01:01:34,600 --> 01:01:39,760
Speaker 1: behavioral UM and because of that, if we can bring

1052
01:01:39,840 --> 01:01:42,400
Speaker 1: down the buck to do ratio, that's thought to be

1053
01:01:42,440 --> 01:01:46,720
Speaker 1: one one possible tool UM. The other tools that folks

1054
01:01:46,720 --> 01:01:51,000
Speaker 1: talk about include things like reducing overall population density UM,

1055
01:01:51,080 --> 01:01:55,480
Speaker 1: and that has been in some cases linked to UM

1056
01:01:55,640 --> 01:01:59,480
Speaker 1: to to maybe the suggestion that that the prevalence can

1057
01:01:59,480 --> 01:02:01,800
Speaker 1: be dropped. But the problem is that if there's really

1058
01:02:01,800 --> 01:02:04,400
Speaker 1: social animals, even if you drop prevalence, they might still

1059
01:02:04,400 --> 01:02:07,280
Speaker 1: seek each other out and contact one another. So UM

1060
01:02:07,280 --> 01:02:10,360
Speaker 1: really trying to find that high, highly infected portion of

1061
01:02:10,360 --> 01:02:13,200
Speaker 1: the population and knocking it down is key. So density

1062
01:02:13,240 --> 01:02:16,520
Speaker 1: reduction targeting bucks, and then the other options are to

1063
01:02:16,560 --> 01:02:18,960
Speaker 1: do targeted removal. So if you knew, for example, Libby

1064
01:02:19,040 --> 01:02:21,520
Speaker 1: was one hot spot on a much larger landscape, we

1065
01:02:21,560 --> 01:02:24,720
Speaker 1: could really try and harvest deer intensively in Libby and

1066
01:02:24,760 --> 01:02:27,840
Speaker 1: knocked down the sort of the larger areas prevalence UM.

1067
01:02:27,880 --> 01:02:29,520
Speaker 1: So that's another way to do it. That's something that

1068
01:02:29,560 --> 01:02:32,720
Speaker 1: FWP would do as a calling mechanism or would be hunter.

1069
01:02:32,920 --> 01:02:34,720
Speaker 1: We'd be trying to use hunters to do it first

1070
01:02:34,720 --> 01:02:37,360
Speaker 1: and foremost it's Libby presents some challenges because it's an

1071
01:02:37,440 --> 01:02:41,480
Speaker 1: urban situation. So there there is an urban deer reduction

1072
01:02:41,560 --> 01:02:44,680
Speaker 1: program that's underway and they're trying to trap and euthanized deer,

1073
01:02:45,040 --> 01:02:47,440
Speaker 1: bring those those deer to the food bank. And if

1074
01:02:47,480 --> 01:02:50,560
Speaker 1: they're in fact test negative, well we should you say

1075
01:02:50,600 --> 01:02:53,320
Speaker 1: that we should cover off on the question that Greg

1076
01:02:53,360 --> 01:02:55,320
Speaker 1: I think mentioned last time, and I think a lot

1077
01:02:55,400 --> 01:02:58,200
Speaker 1: of people the reason when we've had other folks on

1078
01:02:58,240 --> 01:03:01,360
Speaker 1: here talking about cwdan the question is always if I

1079
01:03:01,400 --> 01:03:04,200
Speaker 1: eat it, Like my wife is pregnant currently, you know,

1080
01:03:04,240 --> 01:03:05,880
Speaker 1: if I kill a deer and I don't get a

1081
01:03:05,960 --> 01:03:08,360
Speaker 1: test and she eats it, can she contract the disease?

1082
01:03:08,840 --> 01:03:11,840
Speaker 1: And then just like general food safety around you know,

1083
01:03:11,960 --> 01:03:16,439
Speaker 1: possible c w D areas or CW affected animals. Yeah,

1084
01:03:16,480 --> 01:03:20,000
Speaker 1: so the science says there's no known risk um, there's

1085
01:03:20,040 --> 01:03:22,840
Speaker 1: no evidence that humans have contracted ct b D and

1086
01:03:22,880 --> 01:03:27,200
Speaker 1: come down with a disease um, but it is related

1087
01:03:27,320 --> 01:03:30,200
Speaker 1: to things like crut Folds disease and mad cow um

1088
01:03:30,240 --> 01:03:33,000
Speaker 1: And because of that historic link between mad cow infecting

1089
01:03:33,080 --> 01:03:36,000
Speaker 1: humans and causing krut fold and they're all like under

1090
01:03:36,040 --> 01:03:41,040
Speaker 1: the TSC transmissible spongeform and cephalopathies, says, because I couldn't

1091
01:03:41,080 --> 01:03:47,960
Speaker 1: say that, I'd be like transform sponge, right, So that's

1092
01:03:47,960 --> 01:03:52,360
Speaker 1: why I says, to set you up to help me out. Thanks. Yeah. So, uh,

1093
01:03:52,520 --> 01:03:54,800
Speaker 1: there's no known risk and there have been a there's

1094
01:03:54,800 --> 01:03:57,120
Speaker 1: a couple of lines of evidence that back that up.

1095
01:03:57,160 --> 01:03:58,720
Speaker 1: So one of them is that there have been a

1096
01:03:58,840 --> 01:04:01,360
Speaker 1: number of lab studies where they have genetically engineered mice

1097
01:04:01,440 --> 01:04:04,840
Speaker 1: to express the human prem protein different animals. Animals have

1098
01:04:04,880 --> 01:04:07,280
Speaker 1: different types of PREAM proteins. They vary in their amino

1099
01:04:07,320 --> 01:04:11,080
Speaker 1: acid composition and structure, and so you can genetically engineer

1100
01:04:11,080 --> 01:04:12,800
Speaker 1: your mouse to express the human pre am protein and

1101
01:04:12,840 --> 01:04:14,960
Speaker 1: then challenge them, feed them CED two BED infected meat,

1102
01:04:15,080 --> 01:04:17,560
Speaker 1: or even inoculate them directly into the brain, which is

1103
01:04:17,560 --> 01:04:21,240
Speaker 1: considered them more potent challenge. And those UM by and

1104
01:04:21,320 --> 01:04:24,280
Speaker 1: large suggestors are there's a really strong species barrier. It's

1105
01:04:24,320 --> 01:04:27,000
Speaker 1: not easy to get human preom proteins to convert um

1106
01:04:27,000 --> 01:04:28,960
Speaker 1: so that's probably the best line of evidence. The other

1107
01:04:29,480 --> 01:04:31,000
Speaker 1: line of evidence that there have been a number of

1108
01:04:31,040 --> 01:04:34,960
Speaker 1: longitudinal studies UM where they go out to these populations

1109
01:04:35,000 --> 01:04:39,920
Speaker 1: of hunters that have been eating um game, you know,

1110
01:04:40,000 --> 01:04:44,160
Speaker 1: deer and elk in in CTWOB depositive areas for for decades,

1111
01:04:44,560 --> 01:04:47,760
Speaker 1: and they look to see whether there's any elevated risk

1112
01:04:47,960 --> 01:04:50,760
Speaker 1: of of crust fold yakums disease, which is how we

1113
01:04:50,800 --> 01:04:53,800
Speaker 1: think it would present any human. And that's there's been cases,

1114
01:04:54,120 --> 01:04:56,080
Speaker 1: and i'd sometimes I just try to act like an

1115
01:04:56,080 --> 01:04:58,400
Speaker 1: Internet common or when I ask questions, like I'll say like, hey,

1116
01:04:58,640 --> 01:05:02,680
Speaker 1: didn't a dude eat squirrel brains and get us? And

1117
01:05:02,720 --> 01:05:04,680
Speaker 1: that's what something you can get like a YouTube comment.

1118
01:05:05,440 --> 01:05:07,360
Speaker 1: But that's that happened. We got a lot of people

1119
01:05:07,360 --> 01:05:10,120
Speaker 1: sending us this like, look, look, this is a this

1120
01:05:10,200 --> 01:05:12,160
Speaker 1: is basically mad col disease from any score brains. So

1121
01:05:12,200 --> 01:05:15,520
Speaker 1: if I eat deer brains of like a CTVD positive deer,

1122
01:05:15,520 --> 01:05:18,760
Speaker 1: I'm going to get Yeah, so the squirrel, the squirrel

1123
01:05:19,280 --> 01:05:22,240
Speaker 1: examples different. These are all different, right, They're all a

1124
01:05:22,280 --> 01:05:25,440
Speaker 1: little different. And the ability for one form of the

1125
01:05:25,480 --> 01:05:30,040
Speaker 1: preon to convert another animals prem protein, they're they're all different. Um.

1126
01:05:30,080 --> 01:05:32,920
Speaker 1: And so yeah, there's doesn't seem to be an elevated

1127
01:05:33,040 --> 01:05:35,360
Speaker 1: risk for hunters that have been eating game in these

1128
01:05:35,400 --> 01:05:38,880
Speaker 1: positive areas for a long time. So um. I think

1129
01:05:39,360 --> 01:05:43,160
Speaker 1: the prudent thing though, is to avoid eating known CTBD

1130
01:05:43,240 --> 01:05:45,520
Speaker 1: positive animals. So if you are hunting in an area

1131
01:05:45,560 --> 01:05:49,080
Speaker 1: where CTBD exists, get your animal tested prior to consumption

1132
01:05:50,000 --> 01:05:52,080
Speaker 1: and if it, if it comes back positive, don't eat it.

1133
01:05:52,360 --> 01:05:55,120
Speaker 1: And but again, if if you've you know, if you're

1134
01:05:55,120 --> 01:05:57,080
Speaker 1: only finding out about this now and you've been hunting

1135
01:05:57,120 --> 01:06:00,160
Speaker 1: down in the Bridge area for generations, I wouldn't were.

1136
01:06:00,480 --> 01:06:02,680
Speaker 1: We had our friend Randy Newberg in and he said

1137
01:06:02,760 --> 01:06:06,600
Speaker 1: he just eats them, he said, rolling the dice. I don't.

1138
01:06:06,720 --> 01:06:10,600
Speaker 1: I'm old, I've had a good run. Um. If I'm

1139
01:06:10,640 --> 01:06:13,040
Speaker 1: that guy, I'm that guy. But I think a lot

1140
01:06:13,040 --> 01:06:16,240
Speaker 1: of people we had that was like a fifty fifty

1141
01:06:16,280 --> 01:06:18,880
Speaker 1: split on you know, whether they agreed with that or not.

1142
01:06:18,920 --> 01:06:20,680
Speaker 1: A lot of people that wrote in like, you know,

1143
01:06:20,720 --> 01:06:23,160
Speaker 1: why not get it tested, why not just just be

1144
01:06:23,240 --> 01:06:25,560
Speaker 1: proodent about how you approach it, And other people like, hey,

1145
01:06:25,560 --> 01:06:27,439
Speaker 1: I'm like I said, I've been living in this area

1146
01:06:27,480 --> 01:06:28,960
Speaker 1: for my whole life, and I've been eating dear my

1147
01:06:28,960 --> 01:06:31,760
Speaker 1: whole life. Why would I know? Why would I change now?

1148
01:06:32,680 --> 01:06:35,160
Speaker 1: And I think one of the confusing things about c

1149
01:06:35,440 --> 01:06:38,120
Speaker 1: w D as it repertains to sort of the human

1150
01:06:38,160 --> 01:06:41,960
Speaker 1: concern is that there's it's really hard to understand, uh,

1151
01:06:43,560 --> 01:06:46,920
Speaker 1: just how different this disease is from a normal virus

1152
01:06:47,080 --> 01:06:51,240
Speaker 1: or a bacterial disease. I mean, we're talking about you know, proteins,

1153
01:06:51,240 --> 01:06:57,120
Speaker 1: there's there's there. It's it's beyond me to comprehend. But

1154
01:06:57,120 --> 01:07:01,160
Speaker 1: but but you're you're you have to have have the

1155
01:07:01,200 --> 01:07:05,160
Speaker 1: way it works in between uh, animals, you know, dear

1156
01:07:06,120 --> 01:07:10,640
Speaker 1: is there there Uh, these proteins are so similar in

1157
01:07:10,840 --> 01:07:14,200
Speaker 1: construction that when the missfolded one comes in contact with

1158
01:07:14,240 --> 01:07:18,520
Speaker 1: the right one, it folds. Now, I mean, I think

1159
01:07:18,600 --> 01:07:21,720
Speaker 1: the confusion confusing part is is that doesn't that obviously

1160
01:07:21,800 --> 01:07:25,720
Speaker 1: doesn't mean that if a missfolded protein from a deer

1161
01:07:25,880 --> 01:07:28,880
Speaker 1: comes into contact with a human protein, there's that that

1162
01:07:29,040 --> 01:07:32,360
Speaker 1: obviously means that. It doesn't mean that it's gonna fold

1163
01:07:32,440 --> 01:07:34,200
Speaker 1: and doesn't mean that it's gonna get It's just not

1164
01:07:34,360 --> 01:07:37,600
Speaker 1: that kind of disease. And I think that's one of

1165
01:07:37,640 --> 01:07:40,720
Speaker 1: the things that's confusing to people is you hear infectious disease,

1166
01:07:40,800 --> 01:07:44,400
Speaker 1: you hear the word disease, you know it's transmissible, blah

1167
01:07:44,480 --> 01:07:48,520
Speaker 1: blah blah, it's it's just the biology behind c w

1168
01:07:48,640 --> 01:07:51,120
Speaker 1: D and t SCS in general is just really different

1169
01:07:51,160 --> 01:07:55,160
Speaker 1: than normal infectious diseases. Is that Do you feel like

1170
01:07:55,160 --> 01:07:57,960
Speaker 1: that's cover off on that top, because we really just

1171
01:07:58,040 --> 01:08:00,240
Speaker 1: need to come a lot of people right in my

1172
01:08:00,280 --> 01:08:02,320
Speaker 1: bone in necroast I'll never eat another bone in neck

1173
01:08:02,440 --> 01:08:05,040
Speaker 1: roast um, And these are some of the comments that

1174
01:08:05,120 --> 01:08:09,760
Speaker 1: we get, and it's just hard sometimes to relate these things. Um.

1175
01:08:11,040 --> 01:08:12,800
Speaker 1: So I feel like we've covered all that, We'll never

1176
01:08:12,840 --> 01:08:14,640
Speaker 1: get there. But I mean, what what don't we know

1177
01:08:14,680 --> 01:08:18,200
Speaker 1: about the disease that we need to know? That's a

1178
01:08:18,200 --> 01:08:20,360
Speaker 1: good question. I mean, how do we we really would

1179
01:08:20,400 --> 01:08:24,120
Speaker 1: love to know how to control it effect get rid

1180
01:08:24,160 --> 01:08:28,160
Speaker 1: of it. Um. Yeah, I mean there's there's going to

1181
01:08:28,240 --> 01:08:31,200
Speaker 1: continue to be research and that you know, in the

1182
01:08:31,240 --> 01:08:33,560
Speaker 1: likelihood of it jumping a species barrier, I mean, I

1183
01:08:33,600 --> 01:08:37,800
Speaker 1: think there's enough concern and interest in that. But um

1184
01:08:37,840 --> 01:08:40,360
Speaker 1: but yeah, figuring out how we manage it long term

1185
01:08:40,560 --> 01:08:43,680
Speaker 1: and how you know, what's what what will this mean

1186
01:08:43,720 --> 01:08:45,960
Speaker 1: for our populations on the landscape? And now there's plenty

1187
01:08:46,000 --> 01:08:49,599
Speaker 1: of evidence that suggests we could see big declines. Um

1188
01:08:49,640 --> 01:08:52,120
Speaker 1: that's been predicted for a while. But now we have

1189
01:08:52,240 --> 01:08:54,920
Speaker 1: herds that we can point to. Is there modeling for

1190
01:08:54,960 --> 01:08:57,439
Speaker 1: that that? Yeah, there's been lots of modeling that suggests

1191
01:08:57,720 --> 01:09:00,439
Speaker 1: um over many decades, you'd see it to client. So

1192
01:09:00,479 --> 01:09:04,480
Speaker 1: as prevalence increases to a certain threshold, then the population

1193
01:09:04,560 --> 01:09:07,919
Speaker 1: can't produce enough young to compensate for the increased mortality

1194
01:09:07,960 --> 01:09:11,000
Speaker 1: rate and you just start seeing a decline um. But

1195
01:09:11,880 --> 01:09:14,840
Speaker 1: you know, yeah, we'll see. So, as I was saying,

1196
01:09:14,880 --> 01:09:17,280
Speaker 1: all these different management tools that we've got, we're now

1197
01:09:17,320 --> 01:09:20,000
Speaker 1: trying to replicate this on a large scale across the West,

1198
01:09:20,040 --> 01:09:23,639
Speaker 1: and we're working with Canadian partners and other states and

1199
01:09:24,200 --> 01:09:27,080
Speaker 1: we're trying to implement them in a similar fashion and

1200
01:09:27,160 --> 01:09:29,960
Speaker 1: monitor them in a similar fashion so that collectively we

1201
01:09:29,960 --> 01:09:32,479
Speaker 1: can try and figure out what works, what's good. And

1202
01:09:32,960 --> 01:09:34,800
Speaker 1: part of the impetus for this conversation is like what

1203
01:09:35,000 --> 01:09:37,400
Speaker 1: is Montana doing right now? You know, what are the

1204
01:09:37,439 --> 01:09:42,200
Speaker 1: things that hunters can do to help help this research,

1205
01:09:42,280 --> 01:09:44,680
Speaker 1: help this information because we are really the boots on

1206
01:09:44,720 --> 01:09:46,880
Speaker 1: the ground and in so many ways. Um So I

1207
01:09:46,920 --> 01:09:48,840
Speaker 1: think that's a real important point to know, Like you

1208
01:09:48,920 --> 01:09:51,599
Speaker 1: can be an agent. We're not going to be They're

1209
01:09:51,600 --> 01:09:53,760
Speaker 1: going to hire you, repay you you could be a

1210
01:09:53,760 --> 01:09:56,599
Speaker 1: bit of an agent for the fish wildlife parks if

1211
01:09:56,640 --> 01:09:58,880
Speaker 1: if you, if you so desire, and it's something that

1212
01:09:58,960 --> 01:10:02,519
Speaker 1: I think is a responsibility. I I feel, at least

1213
01:10:02,800 --> 01:10:05,439
Speaker 1: myself are responsibly not only if I see an empty

1214
01:10:05,439 --> 01:10:07,439
Speaker 1: water bottle lane on the trail and in the national forest,

1215
01:10:07,439 --> 01:10:10,200
Speaker 1: I'm gonna pick it up. At the same time, if

1216
01:10:10,200 --> 01:10:11,800
Speaker 1: I kill a deer in a c w D area,

1217
01:10:11,960 --> 01:10:14,360
Speaker 1: or if I can just easily as well, we'll talk

1218
01:10:14,360 --> 01:10:17,080
Speaker 1: about here in a second pop out a lymph node. Um.

1219
01:10:17,120 --> 01:10:19,559
Speaker 1: I feel it's a responsibility to do it, just because

1220
01:10:20,160 --> 01:10:22,439
Speaker 1: it's there's all of these things are happening at once,

1221
01:10:22,560 --> 01:10:24,080
Speaker 1: and I can't just say I want to hunt but

1222
01:10:24,120 --> 01:10:26,880
Speaker 1: not worry about the transmission of these diseases or what

1223
01:10:26,920 --> 01:10:29,880
Speaker 1: they do to wildlife. So um, Jennifer, you want to

1224
01:10:29,880 --> 01:10:31,559
Speaker 1: try to just talk a little bit about what you

1225
01:10:31,560 --> 01:10:35,240
Speaker 1: guys are doing. Yeah, so, yeah, So we're as as

1226
01:10:35,320 --> 01:10:38,600
Speaker 1: you've heard, We've got some surveillance that will be um

1227
01:10:38,640 --> 01:10:41,879
Speaker 1: going on this hunting season. We've got priorities surveillance areas

1228
01:10:42,040 --> 01:10:45,599
Speaker 1: identified where we'll have check stations set up and hunters

1229
01:10:45,920 --> 01:10:48,000
Speaker 1: harvest animals in those areas will come through the check

1230
01:10:48,040 --> 01:10:51,639
Speaker 1: station and they'll get their lymph nodes collected and those

1231
01:10:51,680 --> 01:10:55,160
Speaker 1: will be sent off for testing. Yeah, why why lymph nodes? So,

1232
01:10:55,400 --> 01:10:58,120
Speaker 1: limp noodes are one those retrofringeal lymph nodes up in

1233
01:10:58,120 --> 01:11:00,360
Speaker 1: the neck at the base of the jaw the head

1234
01:11:00,400 --> 01:11:02,639
Speaker 1: there are one of the early places where we can

1235
01:11:02,640 --> 01:11:06,160
Speaker 1: detect it and they're easy to remove, they're easy to preserve. Um,

1236
01:11:06,240 --> 01:11:08,400
Speaker 1: so it's something that canna be done. It's not super invasive.

1237
01:11:08,479 --> 01:11:12,599
Speaker 1: So um, we'll we'll collect those limp notes. The preons

1238
01:11:12,600 --> 01:11:15,040
Speaker 1: are mostly found in the nervous system two shoes in

1239
01:11:15,080 --> 01:11:18,080
Speaker 1: and the limp limpoid tissues. So um, those are a

1240
01:11:18,080 --> 01:11:20,200
Speaker 1: good easy sample to collect. Yeah, it's like you said,

1241
01:11:20,240 --> 01:11:21,920
Speaker 1: it's a very easy thing to remove. We'll have some

1242
01:11:21,960 --> 01:11:24,320
Speaker 1: content on the mediator here it's at some point showing

1243
01:11:24,360 --> 01:11:27,160
Speaker 1: exactly how to do that. But it's it's a very

1244
01:11:27,240 --> 01:11:29,800
Speaker 1: very simple thing to do, and you're you're basically doing

1245
01:11:29,840 --> 01:11:32,120
Speaker 1: it anyway if you're processing a deer in the way

1246
01:11:32,160 --> 01:11:34,519
Speaker 1: that I do. And so it's it's something that it's

1247
01:11:34,680 --> 01:11:38,599
Speaker 1: not even an extra step as it were. Maybe yeah,

1248
01:11:38,840 --> 01:11:41,040
Speaker 1: maybe you maybe you gotta have a plastic bag and

1249
01:11:41,320 --> 01:11:46,840
Speaker 1: baggy but if yeah, if you don't don't have a

1250
01:11:46,840 --> 01:11:48,479
Speaker 1: bagg your hand, let us let us know here at

1251
01:11:48,479 --> 01:11:52,320
Speaker 1: th HC will get your baggy. FI I feel feel

1252
01:11:52,360 --> 01:11:55,519
Speaker 1: going to his kitchen that that I can do. I

1253
01:11:55,520 --> 01:11:57,519
Speaker 1: will get a baggy for you, and I won't make

1254
01:11:57,520 --> 01:12:00,959
Speaker 1: you try to explain what's going on us folded proteins

1255
01:12:00,960 --> 01:12:04,920
Speaker 1: and I can I can use the language. I just

1256
01:12:04,960 --> 01:12:08,920
Speaker 1: can't tell you what a misfolded protein that's right after

1257
01:12:09,000 --> 01:12:15,120
Speaker 1: it's a just straight arrow folds. Okay, back to the information. Yeah,

1258
01:12:15,160 --> 01:12:18,439
Speaker 1: So in addition to that effort, UM, this year, we're

1259
01:12:18,439 --> 01:12:21,920
Speaker 1: gonna be UM accepting samples from Hunter's statewide. So if

1260
01:12:21,920 --> 01:12:24,840
Speaker 1: they harvest an animal outside of our surveillance areas, they

1261
01:12:24,880 --> 01:12:28,080
Speaker 1: can also have their animals tested by collecting those lymph notes,

1262
01:12:28,120 --> 01:12:30,519
Speaker 1: putting them in their baggy, downloading a form off our

1263
01:12:30,520 --> 01:12:32,559
Speaker 1: website that gives us all the information that we need

1264
01:12:32,720 --> 01:12:36,280
Speaker 1: that location information is critical, UM, and then sending that

1265
01:12:36,320 --> 01:12:38,120
Speaker 1: to us here in Bozeman, and we'll get those those

1266
01:12:38,120 --> 01:12:42,080
Speaker 1: samples tested for them. UM. If that doesn't work, UM,

1267
01:12:42,320 --> 01:12:45,400
Speaker 1: then the other option would be to bring their animals

1268
01:12:45,520 --> 01:12:48,240
Speaker 1: the head or carcass to a regional office. After a

1269
01:12:48,439 --> 01:12:52,400
Speaker 1: regional office. Not don't bring the head, don't bring the

1270
01:12:52,479 --> 01:12:54,600
Speaker 1: just bring the lymphnodes. Come on, yeah, can we just

1271
01:12:54,880 --> 01:12:56,720
Speaker 1: we were talking about it them for you guys. The

1272
01:12:56,800 --> 01:13:01,400
Speaker 1: FVP regional officers do not like to accept the bloody heads. Okay,

1273
01:13:01,600 --> 01:13:04,920
Speaker 1: we're preparing saying it for you, Greg, you don't have

1274
01:13:05,040 --> 01:13:07,280
Speaker 1: us say it, thank you. They would they prefer that

1275
01:13:07,280 --> 01:13:09,880
Speaker 1: you just bring him a nice little bag from Phil's

1276
01:13:09,920 --> 01:13:13,320
Speaker 1: kitchen of lymph notes. Yeah. So yeah, I mean we're

1277
01:13:13,360 --> 01:13:16,320
Speaker 1: trying to be you know, accommodate, and we are preparing

1278
01:13:16,360 --> 01:13:19,240
Speaker 1: to do that. So we're hiring technicians to staff those

1279
01:13:19,240 --> 01:13:21,679
Speaker 1: regional offices so that when hunters show up they can

1280
01:13:22,680 --> 01:13:25,240
Speaker 1: have those staples collected. But it is easy. There's a

1281
01:13:25,320 --> 01:13:28,360
Speaker 1: video on our website. Um, there's a form to download

1282
01:13:28,400 --> 01:13:30,720
Speaker 1: and fill that out and ship it in, so it's

1283
01:13:30,800 --> 01:13:33,599
Speaker 1: it's not hard. But not everybody has access to all

1284
01:13:33,640 --> 01:13:37,519
Speaker 1: those parts. So if they do need additional assistance, then

1285
01:13:37,640 --> 01:13:39,760
Speaker 1: they can they can get it. Yeah, ask questions. You

1286
01:13:39,960 --> 01:13:42,519
Speaker 1: go to the regional office and just ask what you

1287
01:13:42,560 --> 01:13:43,920
Speaker 1: can do to help or what you need to do.

1288
01:13:44,120 --> 01:13:47,040
Speaker 1: Sure the folks they will will direct them. We'll be ready,

1289
01:13:47,560 --> 01:13:51,519
Speaker 1: folks in the right in the right direction. Yeah, absolutely. Yeah,

1290
01:13:51,520 --> 01:13:54,599
Speaker 1: So the and I think you know, the the thing

1291
01:13:54,840 --> 01:13:56,800
Speaker 1: you know that we're all talking about, you know, it's

1292
01:13:56,840 --> 01:14:00,280
Speaker 1: from a management standpoint and a testing standpoint is really

1293
01:14:00,280 --> 01:14:04,400
Speaker 1: important to emphasize like this is gonna be something that

1294
01:14:04,800 --> 01:14:07,880
Speaker 1: we're gonna whatever we do with with c w D.

1295
01:14:08,760 --> 01:14:12,280
Speaker 1: Our plan is to you utilize hunters, the people that

1296
01:14:12,280 --> 01:14:15,439
Speaker 1: are in the field of harvesting animals to help with management.

1297
01:14:15,439 --> 01:14:19,320
Speaker 1: So if we if we change like deer management strategies

1298
01:14:19,360 --> 01:14:22,320
Speaker 1: in a c w D area, you know, we're that's

1299
01:14:22,320 --> 01:14:25,800
Speaker 1: gonna be you know, that's that will be how we

1300
01:14:25,960 --> 01:14:29,720
Speaker 1: do season structure, So it'll be how hunters harvest animals.

1301
01:14:29,760 --> 01:14:33,719
Speaker 1: This is this is something that these are these resources

1302
01:14:33,720 --> 01:14:36,960
Speaker 1: are in the public trust, and we are trust managers,

1303
01:14:37,040 --> 01:14:39,439
Speaker 1: you know, doing our best to be able to to

1304
01:14:39,560 --> 01:14:42,439
Speaker 1: identify the problem, come up with solutions, and then use

1305
01:14:42,720 --> 01:14:45,479
Speaker 1: the public to help us manage it. Yeah. I think

1306
01:14:45,520 --> 01:14:48,040
Speaker 1: that's it's just key and it's something that has it

1307
01:14:48,160 --> 01:14:50,519
Speaker 1: hits home in a state like Montana that has so

1308
01:14:50,520 --> 01:14:53,679
Speaker 1: many different species of wildlife to deal with, so many

1309
01:14:53,680 --> 01:14:56,120
Speaker 1: different types of habitat, to deal with so many different

1310
01:14:56,720 --> 01:14:59,599
Speaker 1: uh as. We we've talked about our top twelve here. Uh,

1311
01:14:59,640 --> 01:15:03,040
Speaker 1: so many different you know, political pushes and pools and

1312
01:15:03,240 --> 01:15:07,240
Speaker 1: so many just you know, different diseases that impact the

1313
01:15:07,240 --> 01:15:09,400
Speaker 1: way we do things and impact the way that we

1314
01:15:09,479 --> 01:15:13,400
Speaker 1: hunt fish, whatever it might be. So the original conversations

1315
01:15:13,400 --> 01:15:16,280
Speaker 1: just gotta be fired up about that. But I do, um,

1316
01:15:16,320 --> 01:15:18,679
Speaker 1: I just encourage you, Like I said here at the mediator,

1317
01:15:18,720 --> 01:15:21,000
Speaker 1: we want you guys to understand one, how to get

1318
01:15:21,000 --> 01:15:24,280
Speaker 1: the limp nose out of there, which which is very easy,

1319
01:15:24,320 --> 01:15:27,479
Speaker 1: but too what to do with them, which we've covered here,

1320
01:15:28,080 --> 01:15:32,120
Speaker 1: but how important it is is important? Um, Like I said,

1321
01:15:32,200 --> 01:15:33,960
Speaker 1: is this if you see a pile of trash, it's

1322
01:15:34,000 --> 01:15:36,439
Speaker 1: just it's the same type of care and maintenance to

1323
01:15:36,800 --> 01:15:41,960
Speaker 1: our wildlife resource. Yeah you know, and um, so things

1324
01:15:42,000 --> 01:15:45,559
Speaker 1: are CTWD is going to change the way we do things,

1325
01:15:45,600 --> 01:15:48,080
Speaker 1: not just as a department, is it as it pertains

1326
01:15:48,120 --> 01:15:52,599
Speaker 1: to management, but also as hunters. Um and so you know,

1327
01:15:52,960 --> 01:15:55,040
Speaker 1: I just you know, and I want to tell people

1328
01:15:55,120 --> 01:15:57,880
Speaker 1: is if you're concerned, if you haven't, if you have,

1329
01:15:58,000 --> 01:16:00,160
Speaker 1: you know, you have a pregnant wife at home and

1330
01:16:00,280 --> 01:16:03,400
Speaker 1: she's like, why don't we get this tested? Then just

1331
01:16:03,439 --> 01:16:06,080
Speaker 1: take the lymph nodes and get them tested. It's it's

1332
01:16:06,240 --> 01:16:09,520
Speaker 1: really simple and and you know, and there's lots of tools,

1333
01:16:09,840 --> 01:16:13,080
Speaker 1: and you know, are lots of sort of things to consider,

1334
01:16:13,240 --> 01:16:15,479
Speaker 1: you know, beyond that. So you've got an animal that's

1335
01:16:15,760 --> 01:16:18,200
Speaker 1: been you know, you're you want to get tested, but

1336
01:16:18,240 --> 01:16:20,719
Speaker 1: you have the carcass while the tests is getting done,

1337
01:16:21,240 --> 01:16:23,000
Speaker 1: you know. And I'll tell you what I'm gonna do

1338
01:16:23,120 --> 01:16:25,920
Speaker 1: this year is is if I'm fortunate enough to get

1339
01:16:25,920 --> 01:16:28,960
Speaker 1: a deer or or an elk, I'm gonna get the

1340
01:16:29,080 --> 01:16:32,240
Speaker 1: lymph notes tested, butcher the animal like I normally would,

1341
01:16:32,479 --> 01:16:34,439
Speaker 1: and just you know, by the time I'm done and

1342
01:16:34,760 --> 01:16:37,599
Speaker 1: get everything wrapped up the sample in a couple of weeks,

1343
01:16:37,600 --> 01:16:40,040
Speaker 1: we'll be back and everything will be clear. There will

1344
01:16:40,040 --> 01:16:42,600
Speaker 1: be no question. That was our our Brody Henderson was

1345
01:16:42,680 --> 01:16:43,960
Speaker 1: that he was telling me that the other day. So

1346
01:16:44,120 --> 01:16:47,519
Speaker 1: it's perfect. It's Anso's perfect timing. By the time by

1347
01:16:47,560 --> 01:16:50,080
Speaker 1: the time I get a deer fully butchered and fully

1348
01:16:50,080 --> 01:16:52,360
Speaker 1: frozen and ready to kind of like get into the

1349
01:16:52,400 --> 01:16:55,360
Speaker 1: old meal rotation is by the time I've got that

1350
01:16:55,360 --> 01:16:58,240
Speaker 1: that notification that is CTWD free or or not whatever

1351
01:16:58,360 --> 01:17:00,639
Speaker 1: whatever it might be. So it's not you know, it's

1352
01:17:00,640 --> 01:17:02,760
Speaker 1: not big of a hurdle. Certainly, it's a hurdle, is

1353
01:17:02,800 --> 01:17:04,920
Speaker 1: something that you have to keep in your mind and

1354
01:17:05,040 --> 01:17:08,120
Speaker 1: keep in the process of field the table and all

1355
01:17:08,120 --> 01:17:11,640
Speaker 1: those types of things. Um, but it's not it's just

1356
01:17:11,680 --> 01:17:14,280
Speaker 1: not that much. And generally the odds of you getting

1357
01:17:14,280 --> 01:17:18,559
Speaker 1: a positive deer extremely low. So like, yeah, like you said,

1358
01:17:18,600 --> 01:17:19,960
Speaker 1: and you'd probably be pretty safe to go ahead and

1359
01:17:19,960 --> 01:17:22,600
Speaker 1: but your animal hope, you know, by the time the

1360
01:17:22,640 --> 01:17:24,920
Speaker 1: test result comes back, that all that hard work. Yeah,

1361
01:17:24,960 --> 01:17:27,759
Speaker 1: And of course we're just talking about Montana people here

1362
01:17:27,800 --> 01:17:30,640
Speaker 1: listening in Canada, listening all these other places. You know,

1363
01:17:30,880 --> 01:17:33,120
Speaker 1: it's easy to go to your dn OUR website or

1364
01:17:33,120 --> 01:17:34,960
Speaker 1: your f WP website or whatever it might be and

1365
01:17:35,000 --> 01:17:37,840
Speaker 1: just take a look at what their CWD program is. Yeah,

1366
01:17:37,920 --> 01:17:41,400
Speaker 1: but you know, anywhere, not just in Montana, anywhere. And

1367
01:17:41,400 --> 01:17:43,479
Speaker 1: that's this sort of gets back to that, I mean

1368
01:17:43,560 --> 01:17:46,600
Speaker 1: kind of the just our three stuff with hunting and

1369
01:17:46,680 --> 01:17:50,360
Speaker 1: everything else is anywhere. If you're if you're worried, just

1370
01:17:51,120 --> 01:17:53,639
Speaker 1: take the limph notes and then some I mean you'll

1371
01:17:53,680 --> 01:17:57,080
Speaker 1: be you'll there'll be some way to get them tested. Yes, Yeah,

1372
01:17:57,120 --> 01:17:59,519
Speaker 1: there's always like said, any regional office, any place you

1373
01:17:59,560 --> 01:18:01,920
Speaker 1: can go and ask and say Hey, there's a concern here.

1374
01:18:02,200 --> 01:18:04,960
Speaker 1: How do I deal with it? I imagine someone will

1375
01:18:05,000 --> 01:18:07,760
Speaker 1: be there and be more than helpful based on the

1376
01:18:08,120 --> 01:18:09,800
Speaker 1: based on the serious nature of what this could do

1377
01:18:09,840 --> 01:18:13,599
Speaker 1: in the future. I mean, all the heretics and all

1378
01:18:13,680 --> 01:18:17,200
Speaker 1: like the folks saying it's gonna transfer, it's gonna transmit

1379
01:18:17,240 --> 01:18:20,280
Speaker 1: to humans next year, we promise, all that stuff, all

1380
01:18:20,360 --> 01:18:23,560
Speaker 1: the zombie headlines and stuff, all that aside. It's that

1381
01:18:23,680 --> 01:18:26,120
Speaker 1: that aside. This still is a very serious issue that

1382
01:18:26,479 --> 01:18:29,000
Speaker 1: uh that we Whether you're montane or not, you just

1383
01:18:29,000 --> 01:18:32,559
Speaker 1: need to understand it, right. For sure. We covered that

1384
01:18:32,600 --> 01:18:35,519
Speaker 1: off pretty good, I think. So. Yeah, we got eleven

1385
01:18:35,520 --> 01:18:42,040
Speaker 1: more to go. Okay, we've been going minutes. Oh yeah,

1386
01:18:42,040 --> 01:18:52,280
Speaker 1: man on another another six hours, Jennifer Jennifer is looking

1387
01:18:52,280 --> 01:18:55,200
Speaker 1: at me like a really I am getting paid, but

1388
01:18:55,360 --> 01:18:59,280
Speaker 1: until five I'm supposed to go elk, Yeah, we got

1389
01:19:00,200 --> 01:19:03,439
Speaker 1: what do you want to hear about next film? What disease? Well,

1390
01:19:03,439 --> 01:19:05,559
Speaker 1: it's what's on the list. Yeah, what do we got?

1391
01:19:05,560 --> 01:19:07,960
Speaker 1: We'll let Phil pick? Well, so let's see Emily help

1392
01:19:08,000 --> 01:19:10,320
Speaker 1: me that we've got him or magic disease, which is

1393
01:19:10,360 --> 01:19:14,439
Speaker 1: blue tongue. H We've got bovine TB bovine TB. We've

1394
01:19:14,479 --> 01:19:22,080
Speaker 1: got tularemia, plague, white syndrome, I'm got more. This is

1395
01:19:22,120 --> 01:19:25,280
Speaker 1: like this. People are just going to be like what,

1396
01:19:25,520 --> 01:19:28,759
Speaker 1: Oh my god, we don't even have all of these diseases.

1397
01:19:28,800 --> 01:19:30,600
Speaker 1: But I'm kind of fine. I don't know if this

1398
01:19:30,640 --> 01:19:32,680
Speaker 1: pertains to hunters as much, but I'm interested in in

1399
01:19:32,760 --> 01:19:35,800
Speaker 1: white nose syndrome. That was just at luc and Clark

1400
01:19:35,840 --> 01:19:40,959
Speaker 1: Caverns recently, so let's let's go there. So white nose syndrome.

1401
01:19:41,040 --> 01:19:43,639
Speaker 1: We don't know that we have that here in Montana yet,

1402
01:19:43,640 --> 01:19:46,720
Speaker 1: but it's a priority disease because of its potential to

1403
01:19:46,760 --> 01:19:51,720
Speaker 1: have significant impacts on wildlife populations. UM and Emily has

1404
01:19:51,800 --> 01:19:55,360
Speaker 1: been working on a really recently working on a surveillance

1405
01:19:55,479 --> 01:19:59,759
Speaker 1: plan for that. UM and it's it's an emanation wide effort.

1406
01:20:00,000 --> 01:20:02,080
Speaker 1: I was sat in on a on a conference call

1407
01:20:02,120 --> 01:20:03,960
Speaker 1: the other day and got an update from some other

1408
01:20:04,000 --> 01:20:07,759
Speaker 1: states on what they're doing. But some of these diseases

1409
01:20:07,800 --> 01:20:13,120
Speaker 1: are more like, are grosser than others, So like, well, well,

1410
01:20:13,240 --> 01:20:15,120
Speaker 1: I want to we have to cover high dada disease

1411
01:20:15,160 --> 01:20:20,640
Speaker 1: because Dr Vlarious guys scared the entire world for the

1412
01:20:20,720 --> 01:20:24,000
Speaker 1: last podcast about this two podcasts ago in fact um.

1413
01:20:24,280 --> 01:20:27,160
Speaker 1: I've got a lot of emails about disease. Yeah, I'm

1414
01:20:27,160 --> 01:20:29,719
Speaker 1: sure that one always gets a lot of attention. Yeah,

1415
01:20:29,800 --> 01:20:33,200
Speaker 1: so white nosease can be nowhere near? Is that one?

1416
01:20:33,479 --> 01:20:38,080
Speaker 1: If you're in the back, if you and if you

1417
01:20:38,080 --> 01:20:40,479
Speaker 1: don't like insects, it's not a good if you're bad

1418
01:20:40,479 --> 01:20:44,160
Speaker 1: and you're listening to podcast dang. Yeah, okay, give us

1419
01:20:44,160 --> 01:20:49,960
Speaker 1: white notes. It's a fungal infection caused by the fungus

1420
01:20:50,240 --> 01:20:54,559
Speaker 1: um pseudo gym no ascas destructtions phil What was that right,

1421
01:20:54,680 --> 01:21:00,280
Speaker 1: let's hear it at the abbreviation the accurate. It's pete

1422
01:21:01,600 --> 01:21:08,360
Speaker 1: pseudo semnias destructive close Jim ask on one syllable off

1423
01:21:08,479 --> 01:21:12,360
Speaker 1: of nineteen syllables in that word. Yeah, so it's a

1424
01:21:12,479 --> 01:21:17,640
Speaker 1: it's a fungal infection um that will eventually cause the

1425
01:21:17,720 --> 01:21:20,639
Speaker 1: death of of of many bat species. Not all bat

1426
01:21:20,680 --> 01:21:23,160
Speaker 1: species die from it, but it's a sort of a disease.

1427
01:21:23,240 --> 01:21:25,639
Speaker 1: But when the animal, when the bat gets first infected,

1428
01:21:25,720 --> 01:21:27,640
Speaker 1: it can take a period of time for them to

1429
01:21:27,680 --> 01:21:30,120
Speaker 1: build up enough of the fungus to cause problems. But

1430
01:21:30,840 --> 01:21:35,040
Speaker 1: it particularly affects hybridating bats, so an infected bat will

1431
01:21:35,840 --> 01:21:39,120
Speaker 1: rouse more frequently in the winter UM probably because they're

1432
01:21:39,160 --> 01:21:42,960
Speaker 1: thirsty UM, and because they're having to wake up, they're

1433
01:21:43,000 --> 01:21:45,840
Speaker 1: having to burn fat reserves, and so instead of the

1434
01:21:45,960 --> 01:21:49,000
Speaker 1: fungus actually killing the bat, it's ultimately starvation. The bat

1435
01:21:49,040 --> 01:21:51,320
Speaker 1: has to continually roused utill they sitting up starving to death.

1436
01:21:51,360 --> 01:21:54,000
Speaker 1: Before the start of the summer. And in the East

1437
01:21:54,160 --> 01:21:58,120
Speaker 1: they've lost like ninety five plus percent of their bat

1438
01:21:58,280 --> 01:22:02,200
Speaker 1: certain bat populations UM and it's you know, accelerated the

1439
01:22:02,240 --> 01:22:05,920
Speaker 1: listing and the concern over listing certain species, and it's

1440
01:22:05,960 --> 01:22:10,120
Speaker 1: now been moving westward. We have detections of the fungus

1441
01:22:10,479 --> 01:22:15,640
Speaker 1: in Wyoming, South Dakota, North Dakota, Texas. There just was

1442
01:22:15,680 --> 01:22:19,920
Speaker 1: a detection in California, and it's been in um Washington,

1443
01:22:20,160 --> 01:22:22,160
Speaker 1: So it's sort of closing in now on all sides.

1444
01:22:22,439 --> 01:22:24,400
Speaker 1: We haven't found in Montana. We're part of a national

1445
01:22:24,439 --> 01:22:28,760
Speaker 1: surveillance program to be looking. Montana's bats are a little

1446
01:22:28,760 --> 01:22:30,800
Speaker 1: different than those out east, and that most of our

1447
01:22:30,840 --> 01:22:33,760
Speaker 1: bats we can't account for in hybernaculate in caves. Most

1448
01:22:33,800 --> 01:22:36,920
Speaker 1: of them are are using other forms of roost sites

1449
01:22:37,000 --> 01:22:40,960
Speaker 1: like rock talus slopes or you know, in the summer

1450
01:22:41,040 --> 01:22:43,280
Speaker 1: trees but yeah, we can't account for all the bats,

1451
01:22:43,320 --> 01:22:45,600
Speaker 1: so we've got um and so it's really hard to

1452
01:22:45,640 --> 01:22:48,680
Speaker 1: monitor the vast majority of our population. So we're sort

1453
01:22:48,680 --> 01:22:51,240
Speaker 1: of restricted currently to to working in some of the

1454
01:22:51,320 --> 01:22:56,120
Speaker 1: larger known caves. And we've started some spring missnetting where

1455
01:22:56,120 --> 01:22:57,960
Speaker 1: we go out at night and set up these big

1456
01:22:58,560 --> 01:23:01,720
Speaker 1: nets and and catchas and then swab them and send

1457
01:23:01,760 --> 01:23:04,840
Speaker 1: those in for testing. So we're looking for it hard.

1458
01:23:05,040 --> 01:23:07,640
Speaker 1: Have you've been catching bats? Are you like? Are you

1459
01:23:07,760 --> 01:23:10,879
Speaker 1: netting them? Are you using like a netgun not a netgun?

1460
01:23:11,880 --> 01:23:17,680
Speaker 1: Was picturing like because I used to catch turkeys back

1461
01:23:17,720 --> 01:23:20,320
Speaker 1: in the day, so I was picturing that you were

1462
01:23:20,360 --> 01:23:22,720
Speaker 1: just like other animals and net guns, But no, I'm not.

1463
01:23:22,880 --> 01:23:24,920
Speaker 1: Make sure make sure you've got a full mount on

1464
01:23:25,000 --> 01:23:28,200
Speaker 1: that netgun when the bat flies by. If you've ever

1465
01:23:28,280 --> 01:23:31,040
Speaker 1: seen a bird missnet, it's very similar. So it's just, yeah,

1466
01:23:31,040 --> 01:23:33,320
Speaker 1: the same thing, really fine netting, and you set them

1467
01:23:33,400 --> 01:23:36,479
Speaker 1: up on these big poles and you'll usually put them

1468
01:23:36,600 --> 01:23:39,400
Speaker 1: right over water or near water. Um, and then just

1469
01:23:39,520 --> 01:23:41,599
Speaker 1: as bats emerge at night, they're coming in and they

1470
01:23:42,000 --> 01:23:43,960
Speaker 1: don't have time to recognize it's there, and they get

1471
01:23:44,000 --> 01:23:46,200
Speaker 1: tangled and so then you've got to pull them out

1472
01:23:46,320 --> 01:23:50,960
Speaker 1: and we take a bunch of measurements, um collect guano samples,

1473
01:23:51,120 --> 01:24:00,800
Speaker 1: and yeah, have you you've seen that two? I think

1474
01:24:00,840 --> 01:24:02,759
Speaker 1: it is. I think I know it's seen. You're referring

1475
01:24:02,800 --> 01:24:07,000
Speaker 1: to you didn't know about mango earlier, so checking checking

1476
01:24:07,040 --> 01:24:10,200
Speaker 1: the sea. But yeah, it has the potential to really

1477
01:24:10,280 --> 01:24:12,800
Speaker 1: impact our bats. And as Jennifer said, if you don't

1478
01:24:12,800 --> 01:24:16,920
Speaker 1: like insects, it's a concern because bats consume. That's there's

1479
01:24:16,960 --> 01:24:19,280
Speaker 1: a there's a lot of ecosystem services that bats provoked,

1480
01:24:19,439 --> 01:24:21,360
Speaker 1: much like pollinators and things like that. We start to

1481
01:24:21,439 --> 01:24:25,360
Speaker 1: lose them that you're gonna seems well, and the and

1482
01:24:25,479 --> 01:24:27,800
Speaker 1: the other thing with this and and what Phil is

1483
01:24:27,840 --> 01:24:31,400
Speaker 1: talking about at the Caverns Lewis and Clark Caverns State Park,

1484
01:24:31,520 --> 01:24:35,800
Speaker 1: you know, are guides there give people a spiel about

1485
01:24:35,840 --> 01:24:38,920
Speaker 1: white no syndrome. And and if you're wearing clothes that

1486
01:24:39,040 --> 01:24:42,920
Speaker 1: you wore into another cave, you're not going into caverns

1487
01:24:43,200 --> 01:24:46,000
Speaker 1: um And that's a that's an important sort of piece

1488
01:24:46,120 --> 01:24:49,040
Speaker 1: that that we can tell hunters and people who might

1489
01:24:49,080 --> 01:24:50,960
Speaker 1: be out and you're out in the woods, you stumble

1490
01:24:50,960 --> 01:24:54,920
Speaker 1: onto a cave or something. I mean that's how the

1491
01:24:55,000 --> 01:24:58,880
Speaker 1: fungus can get transmitted is is cave hopping. And so we,

1492
01:25:00,160 --> 01:25:02,880
Speaker 1: unbeknownst to me until I started to learn about this,

1493
01:25:03,040 --> 01:25:07,080
Speaker 1: we have quite a caving community in Montana of people

1494
01:25:07,120 --> 01:25:09,880
Speaker 1: that that are really active in recreating in caves, and

1495
01:25:09,920 --> 01:25:13,200
Speaker 1: they're taking this really seriously and they're part of of

1496
01:25:13,560 --> 01:25:16,400
Speaker 1: not just our surveillance, but also you know, kind of

1497
01:25:17,160 --> 01:25:22,240
Speaker 1: a defense against um against transmission of this fungus. So

1498
01:25:22,720 --> 01:25:28,200
Speaker 1: it's it's an interesting, interesting disease. What's it's close to Halloween.

1499
01:25:28,240 --> 01:25:29,680
Speaker 1: These are going to be very I know we have

1500
01:25:29,840 --> 01:25:39,639
Speaker 1: bad week every like right before Yeah, like shark week. Yeah,

1501
01:25:39,760 --> 01:25:43,000
Speaker 1: bad week though a week oh that I'm glad to

1502
01:25:43,040 --> 01:25:47,840
Speaker 1: hear that. Actually, just like bats, they're misunderstood. But yeah,

1503
01:25:47,920 --> 01:25:51,360
Speaker 1: we do lots of kids programs and I'll reach in

1504
01:25:51,439 --> 01:25:54,400
Speaker 1: schools and um, yeah, it's exciting and I think, you know,

1505
01:25:54,439 --> 01:25:55,880
Speaker 1: the big question is what do we do when we

1506
01:25:55,920 --> 01:25:57,439
Speaker 1: find it? Why I go through all the trouble looking,

1507
01:25:57,640 --> 01:26:02,599
Speaker 1: I'm I think that's a question. It's like and it's

1508
01:26:02,640 --> 01:26:05,639
Speaker 1: like all diseases, all wildlife diseases. It's they're hard to manage.

1509
01:26:05,680 --> 01:26:08,320
Speaker 1: They present unique challenges when you've got a free living

1510
01:26:08,400 --> 01:26:12,640
Speaker 1: mobile population UM. But you know, I think knowing that

1511
01:26:12,800 --> 01:26:15,840
Speaker 1: it's arrived and documenting those impacts are really important for

1512
01:26:15,920 --> 01:26:18,160
Speaker 1: understanding how much more we have to do to conserve

1513
01:26:18,240 --> 01:26:21,280
Speaker 1: bats in other ways, So mitigating the other sources of mortality,

1514
01:26:21,880 --> 01:26:25,639
Speaker 1: and those things, you know, include maybe poor forest management,

1515
01:26:25,680 --> 01:26:30,559
Speaker 1: trying to improve management of forests to preserve bat habitat, UM,

1516
01:26:30,760 --> 01:26:33,720
Speaker 1: mitigating wind farm mortality because that is a significant source

1517
01:26:33,760 --> 01:26:36,920
Speaker 1: of mortality. So right now, I mean, there are a

1518
01:26:36,960 --> 01:26:40,360
Speaker 1: lot of experimental approaches to trying to you know, spray

1519
01:26:40,439 --> 01:26:43,760
Speaker 1: bats with probiotics and and there might be some some

1520
01:26:43,960 --> 01:26:46,200
Speaker 1: viable options down the line. But again, because we don't

1521
01:26:46,360 --> 01:26:48,960
Speaker 1: have a way of accessing our bats like in giant

1522
01:26:49,040 --> 01:26:51,880
Speaker 1: caves where hundreds of thousands of bats are all roosting. Um,

1523
01:26:52,240 --> 01:26:55,080
Speaker 1: those seem like they're going to be more challenging to

1524
01:26:55,120 --> 01:26:57,880
Speaker 1: implement on our Lucky enough, it's closing in on us.

1525
01:26:57,920 --> 01:27:01,120
Speaker 1: But we're safe for now. Yeah, I bet you it's here.

1526
01:27:01,280 --> 01:27:06,679
Speaker 1: We can take that. What are we gonna be, Phil

1527
01:27:06,800 --> 01:27:11,080
Speaker 1: be our data collector on this one? Now? I mean

1528
01:27:11,160 --> 01:27:13,560
Speaker 1: we could be so close. I mean, it's been the

1529
01:27:13,640 --> 01:27:16,280
Speaker 1: Dakotas and Wyoming. It's here. It was just haven't found

1530
01:27:16,320 --> 01:27:19,519
Speaker 1: it yet, and I want to make one just small

1531
01:27:19,640 --> 01:27:24,679
Speaker 1: observation is that our our ballots that are out collecting

1532
01:27:24,760 --> 01:27:29,639
Speaker 1: bats and scientists are out collecting bats, they're inoculated against rabies,

1533
01:27:29,680 --> 01:27:33,280
Speaker 1: and so we don't want people if you see a bat. Yeah,

1534
01:27:33,320 --> 01:27:35,479
Speaker 1: this is different than the lymph note situation. Don't be

1535
01:27:35,600 --> 01:27:39,400
Speaker 1: out with netting baths. We don't. Don't go do your

1536
01:27:39,439 --> 01:27:44,880
Speaker 1: own recon on this. Just this is when the communications

1537
01:27:44,920 --> 01:27:52,120
Speaker 1: director kicks in, like, yeah, right, as much as I

1538
01:27:52,200 --> 01:27:53,719
Speaker 1: want to see a bunch of people in a field

1539
01:27:53,760 --> 01:27:57,160
Speaker 1: with nets at night, how funny that would be, don't

1540
01:27:57,200 --> 01:27:59,160
Speaker 1: do it well. And this is the time of year

1541
01:27:59,720 --> 01:28:02,200
Speaker 1: where people see we get lots of reports of bats

1542
01:28:02,240 --> 01:28:04,880
Speaker 1: because bats are I'm not sure what they're doing this

1543
01:28:05,000 --> 01:28:07,200
Speaker 1: time of year, but they're more visible and so they'll

1544
01:28:07,360 --> 01:28:10,639
Speaker 1: like you'll see them on a on a shady side

1545
01:28:10,720 --> 01:28:13,320
Speaker 1: of a brick building. They'll just be like kind of

1546
01:28:13,439 --> 01:28:14,920
Speaker 1: all of a sudden, you'll see it's a little tiny

1547
01:28:15,000 --> 01:28:18,840
Speaker 1: brown mass where they're just roosting in in spots are

1548
01:28:18,880 --> 01:28:21,880
Speaker 1: more visible. So if you if somebody sees a bat

1549
01:28:22,040 --> 01:28:24,400
Speaker 1: laying on the ground, and even if you think it's

1550
01:28:24,479 --> 01:28:27,800
Speaker 1: noses white because it's why you no syndrome. Just don't

1551
01:28:28,000 --> 01:28:31,599
Speaker 1: call us, don't don't touch it, don't touch it. All right, Well,

1552
01:28:32,280 --> 01:28:35,599
Speaker 1: I want to hear about the plague. About the plague

1553
01:28:35,840 --> 01:28:41,720
Speaker 1: so UM. Plague is a bacterial infection UM and we

1554
01:28:42,080 --> 01:28:46,200
Speaker 1: don't see document cases of this in our lab per se.

1555
01:28:46,280 --> 01:28:48,840
Speaker 1: I'm trying to think if we ever have. But it

1556
01:28:48,920 --> 01:28:55,400
Speaker 1: does cause significant UM die offs for you know, prairie dogs, UM,

1557
01:28:55,600 --> 01:28:57,880
Speaker 1: ground squirrels and and those kinds of things. And that's

1558
01:28:57,880 --> 01:29:02,080
Speaker 1: important because of the blackfooted fair being an issue UM.

1559
01:29:02,479 --> 01:29:06,519
Speaker 1: So that's something that UM and and there's also some

1560
01:29:06,640 --> 01:29:09,400
Speaker 1: potential for human transmission of that disease as well, so

1561
01:29:09,560 --> 01:29:13,960
Speaker 1: that's why it's a priority disease UM. And you know,

1562
01:29:14,080 --> 01:29:15,880
Speaker 1: we haven't done a lot of work on plague, but

1563
01:29:16,640 --> 01:29:20,200
Speaker 1: our lab has not, but UM partners a bunch so

1564
01:29:20,320 --> 01:29:24,439
Speaker 1: it I think it was actually introduced to southwestern US

1565
01:29:24,880 --> 01:29:28,120
Speaker 1: UM through ships maybe a long time ago. UM, and

1566
01:29:28,160 --> 01:29:30,720
Speaker 1: it's spread and it's caused huge impacts and wiping out

1567
01:29:30,840 --> 01:29:35,160
Speaker 1: prairie dog populations. It can just decimate entire colony UM.

1568
01:29:35,960 --> 01:29:38,920
Speaker 1: And there are colonies even in UM in Montana that

1569
01:29:39,000 --> 01:29:41,360
Speaker 1: blink on and off because of plague or blink off

1570
01:29:41,479 --> 01:29:45,519
Speaker 1: rather and right, the concern is is ferrets, and so

1571
01:29:45,640 --> 01:29:47,960
Speaker 1: a bunch of our partners with US Fish and Wildlife

1572
01:29:48,000 --> 01:29:51,200
Speaker 1: Service UM, some of the academic institutions have been doing

1573
01:29:51,240 --> 01:29:54,800
Speaker 1: work trying to UM figure out how to manage this,

1574
01:29:55,040 --> 01:29:57,640
Speaker 1: and a lot of it revolves around managing the fleas UM.

1575
01:29:57,680 --> 01:29:59,280
Speaker 1: If you can keep the fleet population down, you can

1576
01:29:59,320 --> 01:30:03,439
Speaker 1: try and a minute minimized transmission UM and hopefully prevent

1577
01:30:03,560 --> 01:30:08,639
Speaker 1: the collapse of the prairie dog colonies. For UM ferret conservation.

1578
01:30:09,120 --> 01:30:11,280
Speaker 1: Believe it or not, we do get people who bring

1579
01:30:11,439 --> 01:30:18,960
Speaker 1: us ground squirrels. Absolutely do bring us things like that

1580
01:30:19,080 --> 01:30:22,280
Speaker 1: that they find, and believe it or not, once in

1581
01:30:22,320 --> 01:30:24,360
Speaker 1: a while I'll get a call and someone will say,

1582
01:30:24,760 --> 01:30:26,960
Speaker 1: you know, we usually have a lot of ground squirrels

1583
01:30:27,000 --> 01:30:29,040
Speaker 1: and this year we don't have any, and they're concerned

1584
01:30:29,040 --> 01:30:32,120
Speaker 1: about it. UM. So that happens, and a lot of

1585
01:30:32,160 --> 01:30:36,160
Speaker 1: those probably are those big outbreaks could be plag related

1586
01:30:36,520 --> 01:30:40,120
Speaker 1: UM and and there are other diseases that rodents carry

1587
01:30:40,160 --> 01:30:42,519
Speaker 1: that are of concern too, So we want to make

1588
01:30:42,560 --> 01:30:44,200
Speaker 1: sure we know about those because so we can advise

1589
01:30:44,240 --> 01:30:47,120
Speaker 1: people not to be handling them. But there are people

1590
01:30:47,120 --> 01:30:49,559
Speaker 1: who kind of watch that and let us know when

1591
01:30:49,600 --> 01:30:51,599
Speaker 1: they see something. Yes, so again, if you come across

1592
01:30:51,680 --> 01:30:55,719
Speaker 1: like a big pile of dead rodents, rabbit, don't touch

1593
01:30:56,240 --> 01:31:02,400
Speaker 1: just give us a call. You have that, Phil, If

1594
01:31:02,400 --> 01:31:04,240
Speaker 1: you're just walking down the street and you're like a

1595
01:31:04,360 --> 01:31:08,160
Speaker 1: big pilot ground squirrels, don't don't touch it. I don't

1596
01:31:08,160 --> 01:31:11,479
Speaker 1: have to rearrange my weekend plans. Make sure make sure Mango,

1597
01:31:11,640 --> 01:31:15,840
Speaker 1: make sure you talk to Mango about this, because actually

1598
01:31:15,920 --> 01:31:18,639
Speaker 1: a good point. Don't let your dog. Same thing with bats.

1599
01:31:18,680 --> 01:31:21,160
Speaker 1: Mag is gonna want over that bat. You keep Mango

1600
01:31:21,320 --> 01:31:26,759
Speaker 1: out of those situations. Okay, thanks, poor, dear dear Mango,

1601
01:31:27,600 --> 01:31:31,439
Speaker 1: sweet my sweet sweet boys a boy girl girl again,

1602
01:31:31,479 --> 01:31:36,000
Speaker 1: you've never met her. I love you, Mango, and I've

1603
01:31:36,040 --> 01:31:39,680
Speaker 1: never met you. We saw moose out here and I

1604
01:31:39,840 --> 01:31:43,360
Speaker 1: was sure that was Mango. You thought, no, mangoes a

1605
01:31:43,439 --> 01:31:46,559
Speaker 1: little shorter legs, right, kind of like, oh, yeah, she's

1606
01:31:46,560 --> 01:31:50,320
Speaker 1: a lot smaller than smaller. Yeah. We got some pictures

1607
01:31:50,360 --> 01:31:52,360
Speaker 1: of Mango, but Phil has been very sketchy. But I'm

1608
01:31:52,400 --> 01:31:54,519
Speaker 1: trying to get some pictures for social media, and he's

1609
01:31:54,600 --> 01:31:58,120
Speaker 1: very sketchy about giving me pictures of Mango. It's hard

1610
01:31:58,120 --> 01:31:59,960
Speaker 1: to it's hard to she's she's just a little ball entered.

1611
01:32:00,000 --> 01:32:01,960
Speaker 1: It's hard to lock her down. Well, can you can

1612
01:32:02,000 --> 01:32:05,280
Speaker 1: you envision like a meat eater free Mango T shirt?

1613
01:32:06,400 --> 01:32:10,320
Speaker 1: Oh yeah, free Mango. Get Mango out into the world. Okay,

1614
01:32:10,760 --> 01:32:14,880
Speaker 1: make it happen. She came from a shelter in living

1615
01:32:16,600 --> 01:32:19,599
Speaker 1: and she was astray on the Fort pack reservation. Yeah,

1616
01:32:20,040 --> 01:32:23,080
Speaker 1: and it was very sad. Last time you guys probably

1617
01:32:23,080 --> 01:32:24,960
Speaker 1: didn't list the packets, but we we played in the

1618
01:32:25,080 --> 01:32:28,160
Speaker 1: arms of the angel If I started my blockline and

1619
01:32:28,280 --> 01:32:31,759
Speaker 1: Phil told the story about Mango. It was very emotional.

1620
01:32:32,240 --> 01:32:36,920
Speaker 1: I actually legitimately shed a tear because it was thinking

1621
01:32:36,920 --> 01:32:39,680
Speaker 1: about the bonds that Mango and Phil have. I will

1622
01:32:39,760 --> 01:32:43,559
Speaker 1: keep her away from the rabbits dead rabbit bas yes,

1623
01:32:43,880 --> 01:32:51,479
Speaker 1: and the bats and the deer, anything that's dead. I

1624
01:32:51,560 --> 01:32:53,360
Speaker 1: have a lot of. I've got two house cats though

1625
01:32:53,400 --> 01:32:58,400
Speaker 1: that hunt mice every night. Is there anything that could happen? Okay?

1626
01:32:59,640 --> 01:33:01,320
Speaker 1: Do you when you just look at every animal, you're like,

1627
01:33:01,400 --> 01:33:06,840
Speaker 1: what does it have? Pretty much plasmosis? Yes? Yeah. When

1628
01:33:06,880 --> 01:33:09,200
Speaker 1: my wife was pregnant, I kept her away from the

1629
01:33:09,240 --> 01:33:12,040
Speaker 1: litter box and every one one day I was skimping

1630
01:33:12,080 --> 01:33:13,920
Speaker 1: on my duties and I came home. When I caught

1631
01:33:13,960 --> 01:33:17,519
Speaker 1: her cleaning in, I got really upset, Like I got

1632
01:33:17,560 --> 01:33:20,479
Speaker 1: really paranoid about the toxoplasmas. Yeah, you guys got to

1633
01:33:20,479 --> 01:33:24,200
Speaker 1: be looking at like see an alcohol crosses a kind

1634
01:33:24,320 --> 01:33:28,920
Speaker 1: of like abal ecosystem. Just walking around spread stuff from

1635
01:33:29,439 --> 01:33:32,280
Speaker 1: the whole mango thing gets me thinking about hi data disease.

1636
01:33:32,439 --> 01:33:35,920
Speaker 1: Oh yeah, this one is you know, love me some

1637
01:33:36,040 --> 01:33:38,800
Speaker 1: Val guys send me a wonderful human and rolls his

1638
01:33:39,000 --> 01:33:46,240
Speaker 1: rs in a way that can you roll your rs? Bill, ladies,

1639
01:33:48,920 --> 01:33:56,160
Speaker 1: like a like a spasm, some sort of spasm. Phil

1640
01:33:56,200 --> 01:34:04,000
Speaker 1: could do it. He's married, ladies, Um, Phil, Poor Phil. Um.

1641
01:34:04,400 --> 01:34:07,200
Speaker 1: But Val came in and we were talking about wolves,

1642
01:34:07,200 --> 01:34:08,840
Speaker 1: and he went into high data disease. And I had

1643
01:34:09,040 --> 01:34:11,240
Speaker 1: had not even heard the term until he brought it up,

1644
01:34:11,960 --> 01:34:14,640
Speaker 1: which I imagine based on well, I imagine that to

1645
01:34:14,720 --> 01:34:16,040
Speaker 1: be the case for most people, and based on the

1646
01:34:16,120 --> 01:34:19,160
Speaker 1: feedback that we got from listeners, that is the case.

1647
01:34:19,360 --> 01:34:22,240
Speaker 1: Most people did not understand that a lot of people

1648
01:34:22,680 --> 01:34:24,479
Speaker 1: were positing that he was bringing that up as some

1649
01:34:24,600 --> 01:34:27,519
Speaker 1: scare tactick it around wolves to make people think negatively

1650
01:34:27,560 --> 01:34:30,680
Speaker 1: about about wolves in their neck of the woods. That

1651
01:34:30,720 --> 01:34:34,360
Speaker 1: our ecosystem UM. So it's it's important. I think it's

1652
01:34:34,360 --> 01:34:36,320
Speaker 1: on everyone's mind that listened to that podcast. A lot

1653
01:34:36,360 --> 01:34:38,200
Speaker 1: of people did. So we should go through it and

1654
01:34:38,280 --> 01:34:41,479
Speaker 1: explain it and and either we can either back up

1655
01:34:41,560 --> 01:34:43,120
Speaker 1: vow or not. Either way it doesn't matter to me.

1656
01:34:43,280 --> 01:34:46,880
Speaker 1: But let's we should cover off on high data disease. Yeah,

1657
01:34:47,040 --> 01:34:51,880
Speaker 1: So high data disease is UM. It's it's caused by

1658
01:34:52,160 --> 01:34:56,479
Speaker 1: a parasite and the parasite is kind of cocketscranulosis. It's

1659
01:34:56,520 --> 01:35:01,040
Speaker 1: a type of tape worm UM. This this tapeworm is

1660
01:35:01,080 --> 01:35:03,880
Speaker 1: a two host cycle, so with high dadded disease in

1661
01:35:04,280 --> 01:35:07,040
Speaker 1: an elk per se, that's the one we see see

1662
01:35:07,120 --> 01:35:12,360
Speaker 1: it in mostly um. This parasite UM is an adult

1663
01:35:12,439 --> 01:35:14,920
Speaker 1: actually in the intestine of the of the canine. So

1664
01:35:15,560 --> 01:35:19,080
Speaker 1: in a wolf and elk system, the wolf would carry

1665
01:35:19,080 --> 01:35:21,920
Speaker 1: the adult tapeworms, which actually are really really tiny, little

1666
01:35:22,000 --> 01:35:25,719
Speaker 1: millimeters long, tiny little tapeworms, but they're in the intestine

1667
01:35:25,760 --> 01:35:29,120
Speaker 1: and they lay thousands of eggs UM and those eggs

1668
01:35:29,120 --> 01:35:31,879
Speaker 1: are shedding the feces this is very common of a tapeworm,

1669
01:35:31,960 --> 01:35:34,439
Speaker 1: any tapeworm LFE cycle. But those eggs are shedding the

1670
01:35:34,479 --> 01:35:39,360
Speaker 1: feces um, and of course when that wolf deficates contamination

1671
01:35:39,400 --> 01:35:42,360
Speaker 1: of the environment, they also are you know, sticky, so

1672
01:35:42,479 --> 01:35:44,560
Speaker 1: they can stick to the wolves fur and things like that.

1673
01:35:47,280 --> 01:35:50,040
Speaker 1: You guys deal a lot of tapeworm type situations, Yeah,

1674
01:35:50,080 --> 01:35:53,920
Speaker 1: I do. I can't. I can't just like poop, a

1675
01:35:53,960 --> 01:35:59,759
Speaker 1: lot of poop well fair bit and these other diseases

1676
01:35:59,800 --> 01:36:01,800
Speaker 1: on and I was fine, I can get past that.

1677
01:36:01,920 --> 01:36:05,320
Speaker 1: But a tape worm, well, parasites in general pretty pretty

1678
01:36:05,640 --> 01:36:11,479
Speaker 1: amazing and disgusting. So so elk comes along right grazing

1679
01:36:11,600 --> 01:36:14,080
Speaker 1: and just a bunch of these eggs, and that's how

1680
01:36:14,120 --> 01:36:18,439
Speaker 1: the elk gets infected. What we see um and a

1681
01:36:18,520 --> 01:36:21,160
Speaker 1: lot of it's because hunters see it and call us um.

1682
01:36:21,200 --> 01:36:23,040
Speaker 1: When they're fiel dressed in their elk, they see these

1683
01:36:23,760 --> 01:36:26,599
Speaker 1: large cysts. Usually it's in the lung m They can

1684
01:36:26,680 --> 01:36:29,120
Speaker 1: be in other organs, but primarily we see see it

1685
01:36:29,200 --> 01:36:31,960
Speaker 1: reported in the lung and they're kind of big, their

1686
01:36:32,000 --> 01:36:35,240
Speaker 1: golf ball size oftentimes, and firm and round, and so

1687
01:36:35,880 --> 01:36:38,000
Speaker 1: they're white. They're kind of white, and they can be

1688
01:36:38,080 --> 01:36:40,400
Speaker 1: embedded within the lung tissues. So sometimes you can't even

1689
01:36:40,439 --> 01:36:41,960
Speaker 1: see them, but you can feel them if you start

1690
01:36:42,000 --> 01:36:45,120
Speaker 1: feeling the lungs UM. So hunters do start seeing those

1691
01:36:45,360 --> 01:36:47,760
Speaker 1: um and call and ask what they are. If they

1692
01:36:47,920 --> 01:36:50,160
Speaker 1: cut into them, they'd see, you know, a lot of

1693
01:36:50,400 --> 01:36:52,719
Speaker 1: clear fluid and little grains it looks like little grains

1694
01:36:52,760 --> 01:36:55,760
Speaker 1: of sand in there. But so anyway, the cycle continues.

1695
01:36:55,960 --> 01:36:58,320
Speaker 1: If that if a wolf then or or that animal

1696
01:36:58,400 --> 01:37:01,680
Speaker 1: died in the field and all came along and scavenged

1697
01:37:01,720 --> 01:37:03,679
Speaker 1: and ate those cysts in the lungs, then the wolf

1698
01:37:03,720 --> 01:37:06,280
Speaker 1: gets reinfected and starts the cycle over and over again.

1699
01:37:07,080 --> 01:37:08,880
Speaker 1: So that's how that's how it plays out in the

1700
01:37:09,000 --> 01:37:12,880
Speaker 1: elk wolf system. UM. And that's what we primarily are

1701
01:37:12,920 --> 01:37:15,960
Speaker 1: seeing in our in our day to day, especially during

1702
01:37:16,040 --> 01:37:19,120
Speaker 1: hunting season. And Dr Geist took it a little bit

1703
01:37:19,200 --> 01:37:23,160
Speaker 1: further further, scaring lots of folks to say that, uh,

1704
01:37:23,680 --> 01:37:28,320
Speaker 1: this might happen with a domestic dog might come across

1705
01:37:28,360 --> 01:37:31,960
Speaker 1: the wolf feces or the elk more likely. Yeah, So

1706
01:37:32,280 --> 01:37:34,680
Speaker 1: we do try to make sure people are aware when

1707
01:37:34,760 --> 01:37:36,800
Speaker 1: they call us and and say they've seen this in

1708
01:37:36,880 --> 01:37:40,559
Speaker 1: their elk lung or um. You know, we do tell

1709
01:37:40,680 --> 01:37:43,240
Speaker 1: them don't feed these raw scraps to your dog, because

1710
01:37:43,400 --> 01:37:45,840
Speaker 1: the dog is you know, related to the wolf, the

1711
01:37:45,880 --> 01:37:48,479
Speaker 1: dog could ingest those and the dog could get infected

1712
01:37:48,600 --> 01:37:51,200
Speaker 1: just like the wolf can and then shed eggs in

1713
01:37:51,200 --> 01:37:55,000
Speaker 1: their feces. Uh, I believe if if correct me, If

1714
01:37:55,000 --> 01:37:57,040
Speaker 1: I'm wrong, Phil, do you remember that? I think Dr

1715
01:37:57,080 --> 01:37:59,680
Speaker 1: Guys said that, then your dogs in your house and

1716
01:37:59,760 --> 01:38:06,240
Speaker 1: your babies calling around and there's so yeah. So human exposure,

1717
01:38:06,240 --> 01:38:08,320
Speaker 1: if it's going to happen, right, is going to happen

1718
01:38:08,520 --> 01:38:11,479
Speaker 1: by either handling a wolf that's shedding eggs in the feces,

1719
01:38:11,600 --> 01:38:14,680
Speaker 1: or handling feces or a dog that's shedding eggs in

1720
01:38:14,720 --> 01:38:17,320
Speaker 1: their feces. So historically, if you look back at the

1721
01:38:17,360 --> 01:38:22,080
Speaker 1: old literature, this this disease um was not uncommon in

1722
01:38:22,280 --> 01:38:26,160
Speaker 1: sheep hurting operations back in the day because the sheep

1723
01:38:26,200 --> 01:38:28,640
Speaker 1: would get this parasite and they would allow dogs to

1724
01:38:28,680 --> 01:38:31,160
Speaker 1: consume that the dogs will get infected and then occasionally

1725
01:38:31,200 --> 01:38:34,759
Speaker 1: a person would get infected. So it has that potential

1726
01:38:34,840 --> 01:38:38,920
Speaker 1: being an issue if someone's dog is effective from feeding

1727
01:38:38,960 --> 01:38:41,600
Speaker 1: on these that those eggs could be shed. There's some

1728
01:38:42,200 --> 01:38:46,519
Speaker 1: there's some evidence that those are slightly they're slight differences

1729
01:38:46,560 --> 01:38:48,800
Speaker 1: in the ability of a human to be infected with

1730
01:38:49,000 --> 01:38:51,720
Speaker 1: this particular one that's in the wolf elk cycle. Maybe

1731
01:38:51,760 --> 01:38:53,800
Speaker 1: only could shed some more light on that versus the

1732
01:38:53,880 --> 01:38:57,240
Speaker 1: one that the sheep and dog cycle. Um. But anyway,

1733
01:38:57,360 --> 01:38:59,960
Speaker 1: that's that's why we don't want people feeding those ross

1734
01:39:00,000 --> 01:39:02,360
Speaker 1: scraps to their dogs, because there are other tapeworms that

1735
01:39:02,439 --> 01:39:07,400
Speaker 1: invent meat and we don't want dogs getting those either. Gosh, yeah,

1736
01:39:08,120 --> 01:39:11,080
Speaker 1: I mean there's so there's different strains and and they have, um,

1737
01:39:12,240 --> 01:39:14,080
Speaker 1: you know, they seem to vary a little bit in

1738
01:39:14,160 --> 01:39:17,320
Speaker 1: how severe they are for humans. Um, you don't want

1739
01:39:17,320 --> 01:39:20,479
Speaker 1: to get the infection. Um. I think it's pretty nasty infection.

1740
01:39:21,200 --> 01:39:25,880
Speaker 1: In some cases it can be treatable, but yeah, you know,

1741
01:39:25,920 --> 01:39:27,920
Speaker 1: I think again the take home is you see scat,

1742
01:39:28,120 --> 01:39:32,519
Speaker 1: don't we'll scat, don't touch it, and wash your hands,

1743
01:39:34,320 --> 01:39:37,240
Speaker 1: wear gloves or wash your hands after, and don't feed

1744
01:39:37,280 --> 01:39:40,360
Speaker 1: your dogs. Don't feed your dogs scraps. All those things

1745
01:39:40,400 --> 01:39:43,599
Speaker 1: are good because yeah, again, the way Dr I described

1746
01:39:43,640 --> 01:39:48,040
Speaker 1: it was very, um, very dramatic. And when you ingest that,

1747
01:39:48,160 --> 01:39:49,920
Speaker 1: like if if a human were to get high out

1748
01:39:49,920 --> 01:39:52,280
Speaker 1: of the disease, you can have those cysts and those

1749
01:39:52,520 --> 01:39:56,240
Speaker 1: those parasites inside you for some time, maybe dormant. Exactly,

1750
01:39:56,400 --> 01:39:58,479
Speaker 1: It could be a while before they were detected and

1751
01:39:58,640 --> 01:40:00,960
Speaker 1: then um, and they can be an any organ um

1752
01:40:01,600 --> 01:40:03,880
Speaker 1: anything from long to delivered to brain to bone. So

1753
01:40:05,200 --> 01:40:08,680
Speaker 1: but yeah, as Jennifer sent, I mean, it's traditionally been

1754
01:40:08,720 --> 01:40:11,639
Speaker 1: associated with people who have dogs, sled dogs or hurting dogs,

1755
01:40:12,320 --> 01:40:16,800
Speaker 1: and um, yeah, I think you know, another another sort

1756
01:40:16,840 --> 01:40:18,800
Speaker 1: of anecdotal line of evidence is there's lots of wolf

1757
01:40:18,880 --> 01:40:22,000
Speaker 1: biologists that have handled wolves for many years, and uh,

1758
01:40:22,160 --> 01:40:25,200
Speaker 1: there was sort of an informal informal um survey. A

1759
01:40:25,280 --> 01:40:28,720
Speaker 1: bunch of them got tested to look if they've got

1760
01:40:28,760 --> 01:40:31,680
Speaker 1: antibodies for kind of cacuscranulosis, and none of them came

1761
01:40:31,720 --> 01:40:33,560
Speaker 1: back positive. And you think those we might be the

1762
01:40:33,640 --> 01:40:36,439
Speaker 1: highest risk segment of the population. We're always they are

1763
01:40:36,439 --> 01:40:39,840
Speaker 1: actively handling feces and handling wolves, and so I think

1764
01:40:39,920 --> 01:40:43,880
Speaker 1: just common sense it goes a long way. Yeah, it's

1765
01:40:44,640 --> 01:40:47,880
Speaker 1: fairly it's not common for human transmission of this, right,

1766
01:40:47,960 --> 01:40:50,680
Speaker 1: I mean, you know, it's like it's not once a

1767
01:40:50,800 --> 01:40:54,640
Speaker 1: year's it's just not common, right, So you don't want

1768
01:40:54,680 --> 01:40:58,320
Speaker 1: it to be you, But again, you know you'd be pragmatic.

1769
01:40:58,840 --> 01:41:00,599
Speaker 1: Pragmatism goes along the way in a lot of these

1770
01:41:00,640 --> 01:41:05,800
Speaker 1: situations about Tom Hopefull, You'll leave this podcast scared. You're

1771
01:41:05,800 --> 01:41:13,240
Speaker 1: gonna you're not gonna know what to do when you're outside, dogs, babies, bats, plague, plague.

1772
01:41:13,680 --> 01:41:15,519
Speaker 1: You see a ground squirrel, you'renna run the other way

1773
01:41:15,560 --> 01:41:20,320
Speaker 1: like it's a grizzly bear. That's nothing you can do. Uh,

1774
01:41:20,560 --> 01:41:24,240
Speaker 1: you don't run away from grizzly bears. We all have

1775
01:41:24,360 --> 01:41:26,599
Speaker 1: a whole I gotta tell you guys that story about

1776
01:41:26,640 --> 01:41:32,519
Speaker 1: the about that guy the other day. Oh boy, um,

1777
01:41:33,360 --> 01:41:36,040
Speaker 1: I think we should cover off on there's a couple

1778
01:41:36,040 --> 01:41:37,400
Speaker 1: of things that are interesting me. But there's just two

1779
01:41:37,439 --> 01:41:40,519
Speaker 1: things we mentioned, which is brucellosis and then themmony and

1780
01:41:40,640 --> 01:41:44,120
Speaker 1: sheep um. Both of those I think is important to

1781
01:41:44,160 --> 01:41:46,840
Speaker 1: know what they are, of course, but there's some uh,

1782
01:41:47,160 --> 01:41:49,760
Speaker 1: there's some issues with managing them that we've talked about before.

1783
01:41:50,080 --> 01:41:51,680
Speaker 1: I think we should just cover off on that. Is

1784
01:41:51,720 --> 01:41:55,559
Speaker 1: it just an example of how managing a wildlife disease

1785
01:41:55,680 --> 01:41:57,400
Speaker 1: is not as simple as it might seem. You know,

1786
01:41:57,720 --> 01:42:01,240
Speaker 1: there are different mitigating factors, and are different interests involved,

1787
01:42:01,400 --> 01:42:03,960
Speaker 1: and and how these things get made. It so um

1788
01:42:04,360 --> 01:42:05,840
Speaker 1: and I think if I'm am I right in saying

1789
01:42:05,880 --> 01:42:10,160
Speaker 1: that you know, the situation is fairly similar with pneumonia

1790
01:42:10,240 --> 01:42:13,479
Speaker 1: cheap and brucellosis kind of a similar concept. I don't

1791
01:42:13,479 --> 01:42:15,760
Speaker 1: want to connect those in a way that doesn't make

1792
01:42:15,760 --> 01:42:17,960
Speaker 1: sense for you guys. Yeah, I know, Yeah, I think

1793
01:42:18,040 --> 01:42:22,040
Speaker 1: it's it's similar in that the um for sure, and

1794
01:42:22,160 --> 01:42:27,960
Speaker 1: that the groups, the interest groups involved our livestock and wildlife.

1795
01:42:28,280 --> 01:42:33,160
Speaker 1: So that's really the similarity um or one of the

1796
01:42:33,520 --> 01:42:37,280
Speaker 1: key similarities. Yeah, if you if you will. Stakeholder groups

1797
01:42:37,320 --> 01:42:40,960
Speaker 1: are kind of you know, livestock owners and wildlife bologists,

1798
01:42:40,960 --> 01:42:43,320
Speaker 1: wildlife scientists and those things have to come together in

1799
01:42:43,400 --> 01:42:47,760
Speaker 1: a way. Yeah, and hunters hunters of course. So brucellosis,

1800
01:42:47,880 --> 01:42:49,280
Speaker 1: let's start with that one. We've covered that on this

1801
01:42:49,360 --> 01:42:51,040
Speaker 1: podcast a few times, but it be good to just

1802
01:42:51,400 --> 01:42:55,880
Speaker 1: run through it quickly. Um, let's see where to start

1803
01:42:55,960 --> 01:43:00,920
Speaker 1: with rucellosis. So, brucellosis, we're talking about resell aboard ust

1804
01:43:01,040 --> 01:43:04,720
Speaker 1: here um, and it's a disease that we we know

1805
01:43:04,880 --> 01:43:10,160
Speaker 1: cattle are our primary host um, but now we know

1806
01:43:10,280 --> 01:43:13,920
Speaker 1: that it's endemic in some areas in wild elk um

1807
01:43:14,840 --> 01:43:18,320
Speaker 1: and bison. Yeah. Sorry, I forget about the bison because

1808
01:43:18,360 --> 01:43:22,559
Speaker 1: they're park but yeah, so we know it's there. UM.

1809
01:43:23,520 --> 01:43:28,000
Speaker 1: You know, we've had livestock cases show up historically in

1810
01:43:28,120 --> 01:43:31,200
Speaker 1: Montana where we've had spillover back from these elk to

1811
01:43:31,840 --> 01:43:35,600
Speaker 1: to cattle UM, and that's a big problem. UM. So

1812
01:43:36,160 --> 01:43:39,280
Speaker 1: lots of effort going into trying to prevent that from happening.

1813
01:43:39,360 --> 01:43:42,800
Speaker 1: And the folks that Department Livestock have a program just

1814
01:43:43,240 --> 01:43:45,400
Speaker 1: for that purpose to try to prevent that from happening.

1815
01:43:45,920 --> 01:43:48,519
Speaker 1: And we work very closely with the Department Livestock on

1816
01:43:48,600 --> 01:43:51,680
Speaker 1: this issue. We meet with them every year to plan

1817
01:43:51,760 --> 01:43:54,479
Speaker 1: our surveillance. UM. They help us kind of go through

1818
01:43:54,520 --> 01:43:57,479
Speaker 1: what their priorities are for looking at where this disease

1819
01:43:57,640 --> 01:44:01,840
Speaker 1: is and UM. So that's that's a constant communication, a

1820
01:44:01,920 --> 01:44:04,280
Speaker 1: really regular communication with them and the folks, and they're

1821
01:44:04,320 --> 01:44:07,439
Speaker 1: diagnostic lab. So our kind of our role at the

1822
01:44:07,560 --> 01:44:11,559
Speaker 1: lab here is UM to figure out the surveillance piece.

1823
01:44:11,640 --> 01:44:13,160
Speaker 1: So where do we want to look this year? So

1824
01:44:13,479 --> 01:44:15,960
Speaker 1: this winter, every winter for a long time now, we've

1825
01:44:16,040 --> 01:44:19,880
Speaker 1: been catching elk and and testing them for brucellosis and

1826
01:44:19,960 --> 01:44:23,880
Speaker 1: then UM providing that information and that helps, you know,

1827
01:44:23,960 --> 01:44:26,400
Speaker 1: it helps the Department Livestock and in the ranchers to

1828
01:44:26,520 --> 01:44:29,599
Speaker 1: kind of estimate their risk UM and kind of follow

1829
01:44:29,640 --> 01:44:33,320
Speaker 1: these herd plans that they've gotten place. So, um, that's

1830
01:44:33,360 --> 01:44:38,280
Speaker 1: our role. Um. And yeah, it's a big collaboration. Yeah. Yeah,

1831
01:44:38,439 --> 01:44:40,240
Speaker 1: it's an important one for this state and many others

1832
01:44:40,479 --> 01:44:43,320
Speaker 1: where there's you know a lot of most of these

1833
01:44:43,360 --> 01:44:47,120
Speaker 1: are private lands, but it's also publicly and grazing site

1834
01:44:47,160 --> 01:44:50,280
Speaker 1: where this this is happening. So it's a it's something

1835
01:44:50,320 --> 01:44:52,120
Speaker 1: I we hear of a lot when you talk about

1836
01:44:52,280 --> 01:44:55,720
Speaker 1: you know, like we said, wildlife and livestock and what

1837
01:44:56,000 --> 01:44:58,519
Speaker 1: this all means and where they interact. Yeah, and we

1838
01:44:58,600 --> 01:45:01,400
Speaker 1: care about brucellosis because it both because it's a zoo

1839
01:45:01,400 --> 01:45:04,280
Speaker 1: not a confection, so it can cause disease and humans. Um.

1840
01:45:04,320 --> 01:45:06,120
Speaker 1: And that's historically why we were so concerned about it

1841
01:45:06,200 --> 01:45:09,160
Speaker 1: and livestock. Um. Their opportunities for spill over to people

1842
01:45:09,240 --> 01:45:15,120
Speaker 1: that way um and uh. And then it also causes

1843
01:45:15,160 --> 01:45:20,160
Speaker 1: abortions and so you you lose offspring that way. UM.

1844
01:45:20,920 --> 01:45:23,400
Speaker 1: But yeah, there's a huge commitment from the Department to

1845
01:45:23,479 --> 01:45:25,000
Speaker 1: try and know exactly where it is and to work

1846
01:45:25,040 --> 01:45:27,720
Speaker 1: with Departmental live Stock on mitigation. You know, we've got

1847
01:45:28,160 --> 01:45:32,759
Speaker 1: the Department does have programs for UM offering resources defense

1848
01:45:32,840 --> 01:45:37,280
Speaker 1: haystacks or to hold dispersal hunts on private there's hazing

1849
01:45:37,400 --> 01:45:39,719
Speaker 1: done in some of these areas, and we have actually

1850
01:45:40,000 --> 01:45:42,479
Speaker 1: our research biologist is working on a project now to

1851
01:45:42,560 --> 01:45:45,400
Speaker 1: try to evaluate those management strategies and see if they're

1852
01:45:45,560 --> 01:45:48,200
Speaker 1: you know, what kind of impacts they're having. Yeah, yeah,

1853
01:45:48,479 --> 01:45:50,120
Speaker 1: what what are you dealing with? Greg? On your side

1854
01:45:50,160 --> 01:45:53,280
Speaker 1: when trying to communicate this, you know, from f w

1855
01:45:53,439 --> 01:45:57,600
Speaker 1: P two hunters to landowners to ranchers, how is it

1856
01:45:57,920 --> 01:46:00,920
Speaker 1: being communicated the best best way possible? Well, you know,

1857
01:46:01,120 --> 01:46:04,160
Speaker 1: this is it's got quite a long history and so um,

1858
01:46:04,439 --> 01:46:07,840
Speaker 1: a lot of what we're doing on the I mean,

1859
01:46:07,880 --> 01:46:10,880
Speaker 1: it's really it's it's not something that spills out in

1860
01:46:10,960 --> 01:46:13,880
Speaker 1: our communication with hunters a ton, but it but it

1861
01:46:14,000 --> 01:46:16,920
Speaker 1: does in our communication with the livestock industry and working

1862
01:46:17,000 --> 01:46:20,040
Speaker 1: with them, and so you know, and and Jennifer and

1863
01:46:20,120 --> 01:46:22,880
Speaker 1: Emily you can jump in. But one of the key

1864
01:46:22,960 --> 01:46:27,200
Speaker 1: concern is having that separation between livestock and elk uh

1865
01:46:27,439 --> 01:46:30,759
Speaker 1: during the calving, during the when the elk are dropping

1866
01:46:30,840 --> 01:46:35,080
Speaker 1: calves and so um, you know, sometimes there's we have

1867
01:46:35,400 --> 01:46:38,800
Speaker 1: you know, the there's like they said, hazing and things

1868
01:46:38,880 --> 01:46:42,040
Speaker 1: like that. Um that can can happen. We can work

1869
01:46:42,120 --> 01:46:46,000
Speaker 1: with producers to um you know, make sure that if

1870
01:46:46,600 --> 01:46:50,120
Speaker 1: you know they're there, their operation is is away from

1871
01:46:50,160 --> 01:46:54,519
Speaker 1: where maybe some elk calving is having is concentrated. And

1872
01:46:54,640 --> 01:46:57,080
Speaker 1: so some of the tests, some of the research we

1873
01:46:57,160 --> 01:47:01,479
Speaker 1: do is not just UM testing for the brucellosis, but

1874
01:47:01,640 --> 01:47:04,360
Speaker 1: also radio coloring now because we know, you know, have

1875
01:47:04,479 --> 01:47:07,200
Speaker 1: some idea where what elt movement is and that sort

1876
01:47:07,240 --> 01:47:09,960
Speaker 1: of thing, and so you know, broadly for us on

1877
01:47:10,080 --> 01:47:12,799
Speaker 1: that communication into things, it's it's really with the livestock

1878
01:47:12,840 --> 01:47:17,479
Speaker 1: industry and in back and forth on what we're doing,

1879
01:47:17,600 --> 01:47:20,400
Speaker 1: what we're seeing, what we're finding out, and you know,

1880
01:47:20,479 --> 01:47:23,680
Speaker 1: answering their questions and concerns that sort of thing. Do

1881
01:47:23,760 --> 01:47:26,080
Speaker 1: you guys have any programs where you're encouraging, you know,

1882
01:47:26,240 --> 01:47:30,080
Speaker 1: a landowner hunter permission relationship that can help this at all?

1883
01:47:30,400 --> 01:47:32,320
Speaker 1: You know that could you know, let a hunter on

1884
01:47:32,520 --> 01:47:36,479
Speaker 1: shoot an elk? You know that's something I've heard positive

1885
01:47:36,520 --> 01:47:39,680
Speaker 1: about brucellosis and I just don't know. Yeah, well, I

1886
01:47:40,640 --> 01:47:46,000
Speaker 1: think so we have areas where where um uh, we

1887
01:47:46,200 --> 01:47:49,160
Speaker 1: know that where we've been looking for and we know

1888
01:47:49,320 --> 01:47:53,599
Speaker 1: that brucellosis exists in the elk population and so when

1889
01:47:53,880 --> 01:47:57,240
Speaker 1: when elk like if it if it's on a haystack

1890
01:47:57,360 --> 01:48:00,320
Speaker 1: or an al foul fi field or some or where

1891
01:48:00,360 --> 01:48:04,320
Speaker 1: elks are coming into contact to in the same ground

1892
01:48:04,360 --> 01:48:07,439
Speaker 1: as the as a cattle operation, to where we can

1893
01:48:07,520 --> 01:48:10,720
Speaker 1: do game damage hunts and things like that. Um. So

1894
01:48:10,880 --> 01:48:13,040
Speaker 1: there are those sorts of programs that we work with

1895
01:48:13,760 --> 01:48:17,920
Speaker 1: UH landowners on and you know, there's there's a there's

1896
01:48:17,960 --> 01:48:20,240
Speaker 1: a lot to that. It's not just like, oh, I've

1897
01:48:20,439 --> 01:48:22,400
Speaker 1: I've got elk on my place, I need a game

1898
01:48:22,479 --> 01:48:25,920
Speaker 1: damage hunt. Um. You know, there's there's some there's some

1899
01:48:26,080 --> 01:48:30,320
Speaker 1: some um parameters around that, but um but yeah, that's

1900
01:48:30,400 --> 01:48:33,599
Speaker 1: one of them are sort of direct programs that we've got.

1901
01:48:34,160 --> 01:48:37,479
Speaker 1: And it's similar with with our issue with wild sheep,

1902
01:48:37,720 --> 01:48:40,439
Speaker 1: like they're coming into contact with domestic sheep and and

1903
01:48:40,560 --> 01:48:42,960
Speaker 1: disease that are being passed along. So can we I

1904
01:48:43,000 --> 01:48:44,720
Speaker 1: know we talked about pneumonia, but can we just cover

1905
01:48:44,760 --> 01:48:46,800
Speaker 1: that one real quick because I know, you know, when

1906
01:48:46,800 --> 01:48:48,559
Speaker 1: we work at the Wild Chief Foundation, that's a huge

1907
01:48:48,640 --> 01:48:51,000
Speaker 1: thing that they're talking about. They are always um asking

1908
01:48:51,160 --> 01:48:55,320
Speaker 1: us to to look at information documentation on on these

1909
01:48:55,360 --> 01:48:57,599
Speaker 1: types of things and how we can how hunters can

1910
01:48:57,680 --> 01:48:59,240
Speaker 1: help how we can help get the word out. So

1911
01:48:59,280 --> 01:49:02,280
Speaker 1: I know it's a big for those guys. Yeah. So,

1912
01:49:02,840 --> 01:49:05,280
Speaker 1: so we have a big horn, cheap and mountain goat

1913
01:49:05,320 --> 01:49:08,679
Speaker 1: herd health program that we've been working on for Boy,

1914
01:49:08,760 --> 01:49:11,120
Speaker 1: how how many years now? Is this four? Or five?

1915
01:49:11,960 --> 01:49:14,160
Speaker 1: Um so? How many big horns in Montan? You know

1916
01:49:14,400 --> 01:49:17,680
Speaker 1: in general? I'd have to look. I have to look

1917
01:49:17,720 --> 01:49:19,360
Speaker 1: it up. I don't know, do you know, either of you?

1918
01:49:20,200 --> 01:49:26,160
Speaker 1: I want to I'm not positive. I'm not positive. Fewer

1919
01:49:26,240 --> 01:49:30,760
Speaker 1: than there were when Lewis and Clark came crew, unfortunately.

1920
01:49:31,680 --> 01:49:35,160
Speaker 1: Um So, So we've got this program anyway, and and

1921
01:49:35,320 --> 01:49:38,400
Speaker 1: we've been catching big horn, cheap and mountain goats the

1922
01:49:38,479 --> 01:49:42,519
Speaker 1: past several winters to get baseline health information because there

1923
01:49:42,560 --> 01:49:45,000
Speaker 1: were herds that we just didn't really know much about,

1924
01:49:45,439 --> 01:49:47,680
Speaker 1: you know, what what path engines might be present or

1925
01:49:48,200 --> 01:49:51,880
Speaker 1: um So we've been doing that, um collecting some good

1926
01:49:51,920 --> 01:49:56,080
Speaker 1: information and uh, you know, we had a big outbreak

1927
01:49:56,439 --> 01:49:59,599
Speaker 1: over in you know, the kind of the the East

1928
01:49:59,640 --> 01:50:01,920
Speaker 1: Fork of the Bitter Rude area in two thousand ten.

1929
01:50:03,120 --> 01:50:06,439
Speaker 1: Um And you know, I've got a lot of information

1930
01:50:06,520 --> 01:50:09,960
Speaker 1: out of that. Um So we've learned I think over

1931
01:50:09,960 --> 01:50:13,360
Speaker 1: the past four years quite a bit about what UM

1932
01:50:13,600 --> 01:50:17,759
Speaker 1: what what our herds health status is UM five thousand

1933
01:50:17,920 --> 01:50:24,360
Speaker 1: sheep and have it distinct populations. That's a lot, a

1934
01:50:24,400 --> 01:50:27,760
Speaker 1: lot of populations. And yeah, it's it's it's difficult. We're

1935
01:50:27,800 --> 01:50:32,040
Speaker 1: finding that these little, these small herds that are um,

1936
01:50:32,200 --> 01:50:34,280
Speaker 1: you know, they've just got a few sheep. We really

1937
01:50:34,320 --> 01:50:36,400
Speaker 1: want to know what's going on in those herds, but

1938
01:50:36,479 --> 01:50:38,599
Speaker 1: those ones are the hardest ones to catch and get

1939
01:50:38,640 --> 01:50:42,240
Speaker 1: information from. Yeah, I like, can you describe how the

1940
01:50:43,080 --> 01:50:45,960
Speaker 1: you know, how this transmission is occurring from you know,

1941
01:50:46,160 --> 01:50:49,919
Speaker 1: domestic sheep. So it's it's not just domestics, but domestics

1942
01:50:49,960 --> 01:50:52,439
Speaker 1: were important part of the original story. So we think

1943
01:50:52,479 --> 01:50:55,599
Speaker 1: that microplasma of ammonia, which we think is the primary

1944
01:50:55,640 --> 01:50:58,479
Speaker 1: cause of agent for restoire disease, was brought over by

1945
01:50:58,840 --> 01:51:01,280
Speaker 1: domestic sheep and that quickly spilled over to our wild

1946
01:51:01,320 --> 01:51:05,400
Speaker 1: sheep populations and probably contributed to the widespread decline UM

1947
01:51:05,479 --> 01:51:08,920
Speaker 1: at the turn of the century and late eighteen hunters

1948
01:51:09,360 --> 01:51:14,320
Speaker 1: and uh they have since we've since, through huge efforts,

1949
01:51:14,400 --> 01:51:16,960
Speaker 1: recovered quite a few sheep across the west, but we've

1950
01:51:16,960 --> 01:51:19,920
Speaker 1: sort of hit this uh plateau. We can't seem to

1951
01:51:20,040 --> 01:51:22,120
Speaker 1: rise back up, and there are plenty of places where

1952
01:51:22,120 --> 01:51:23,720
Speaker 1: it would be great to have more sheep, but we've

1953
01:51:23,760 --> 01:51:26,840
Speaker 1: either got chronically infected bighorn sheepherds that just sort of

1954
01:51:27,400 --> 01:51:29,800
Speaker 1: they are sort of stagnant. They just won't grow. I mean,

1955
01:51:29,840 --> 01:51:32,599
Speaker 1: they do okay, but lamb recruitment is pretty low. Um

1956
01:51:32,720 --> 01:51:34,639
Speaker 1: year after year. Is that generally what it is? Lamb

1957
01:51:34,680 --> 01:51:36,560
Speaker 1: recruitment when they we're looking at the moment. Yeah, So

1958
01:51:36,600 --> 01:51:39,120
Speaker 1: initially when the disease comes, when the pathogen comes into

1959
01:51:39,160 --> 01:51:42,519
Speaker 1: the herd, the classic pattern is that you get a

1960
01:51:42,560 --> 01:51:44,439
Speaker 1: die off, and it can vary in size, but on

1961
01:51:44,560 --> 01:51:48,040
Speaker 1: average it's like six of the herd dies off, and

1962
01:51:48,120 --> 01:51:50,560
Speaker 1: then those that recover. You get a portion of the

1963
01:51:50,600 --> 01:51:54,439
Speaker 1: herd that recovers and presumably as immune to the bacteria UM.

1964
01:51:54,680 --> 01:51:58,280
Speaker 1: But there's usually a couple of carriers, so a couple

1965
01:51:58,360 --> 01:52:01,040
Speaker 1: of the typhoid mary's that continued shed the bacteria at

1966
01:52:01,080 --> 01:52:05,200
Speaker 1: low levels and during lambing UM, if that infected dam

1967
01:52:05,479 --> 01:52:09,240
Speaker 1: has a has a UM lamb, she will transmit and

1968
01:52:09,280 --> 01:52:11,679
Speaker 1: then that lamb gets together with all of its little

1969
01:52:11,720 --> 01:52:14,000
Speaker 1: buddies in the nursery heard and suddenly you get a

1970
01:52:14,120 --> 01:52:15,960
Speaker 1: you know, a lamb outbreak. And you see high land

1971
01:52:16,000 --> 01:52:23,920
Speaker 1: mortality sounds like when school opens exactly same kind of idea.

1972
01:52:24,080 --> 01:52:26,120
Speaker 1: It's classic. I mean, after that initial die off, it's

1973
01:52:26,120 --> 01:52:30,240
Speaker 1: like a childhood infection sort of UM. And the unfortunate

1974
01:52:30,320 --> 01:52:33,479
Speaker 1: thing is that uh domestics do carry Domestics sheep do

1975
01:52:33,640 --> 01:52:36,840
Speaker 1: carry this at higher rates than wild sheep, so sort

1976
01:52:36,880 --> 01:52:39,599
Speaker 1: of a standing number of carriers in a domestic blox

1977
01:52:39,640 --> 01:52:41,960
Speaker 1: seems to be quite a bit higher than wild sheep,

1978
01:52:42,600 --> 01:52:46,720
Speaker 1: and they have a high diversity of this bacteria UM

1979
01:52:47,439 --> 01:52:50,240
Speaker 1: and so it seems like there's no cross immunity to

1980
01:52:50,320 --> 01:52:52,439
Speaker 1: different strains. So you can have a herd that's been

1981
01:52:52,520 --> 01:52:55,400
Speaker 1: infected WI simaply has a whole bunch of individuals that

1982
01:52:55,439 --> 01:52:59,040
Speaker 1: are UM the wild sheep that are immune to their

1983
01:52:59,280 --> 01:53:01,960
Speaker 1: local strain. But if they do come in contact with

1984
01:53:02,280 --> 01:53:04,600
Speaker 1: domestic sheep, they could get another spill over event that

1985
01:53:04,680 --> 01:53:08,800
Speaker 1: triggers another all h die off. UM. We think, you know,

1986
01:53:09,040 --> 01:53:12,919
Speaker 1: we we think there are still cases occasionally of domestic

1987
01:53:13,040 --> 01:53:15,799
Speaker 1: spillover UM T wild sheep, and that's always a concern

1988
01:53:15,920 --> 01:53:18,400
Speaker 1: that sort of guides our separation strategy. We want to

1989
01:53:18,439 --> 01:53:21,080
Speaker 1: keep wild and domestic sheep apart from one another, but

1990
01:53:21,400 --> 01:53:24,840
Speaker 1: we know that that bighorn sheep are perfectly capable of

1991
01:53:24,880 --> 01:53:27,559
Speaker 1: spreading it across populations. I mean, those rams can move

1992
01:53:27,640 --> 01:53:30,439
Speaker 1: long distances and if they are infected or a carrier,

1993
01:53:30,479 --> 01:53:33,519
Speaker 1: they can contribute onward transmission. And for me, and it's

1994
01:53:33,520 --> 01:53:35,080
Speaker 1: certainly bringing it up in that way, it wasn't my

1995
01:53:35,160 --> 01:53:39,559
Speaker 1: intention and kind of like, but I think that's prevailing, right,

1996
01:53:40,560 --> 01:53:42,880
Speaker 1: and it it is important to maintain that separation. And

1997
01:53:42,960 --> 01:53:44,519
Speaker 1: you know, we do ask the public if they do

1998
01:53:44,680 --> 01:53:47,760
Speaker 1: see a commingling event that they let the agency know

1999
01:53:47,880 --> 01:53:51,519
Speaker 1: because unfortunately, in those situations, we try and remove the

2000
01:53:51,760 --> 01:53:56,280
Speaker 1: wild sheep that's commingled to just reduce that risk. You'll see.

2001
01:53:56,320 --> 01:53:58,160
Speaker 1: And there's been a lot of content in hunting world

2002
01:53:58,200 --> 01:54:02,280
Speaker 1: about translocation and absolutely, I think partly because it's a

2003
01:54:02,400 --> 01:54:05,719
Speaker 1: very compelling thing to film, like just it's a compelling

2004
01:54:05,760 --> 01:54:07,479
Speaker 1: thing to do in film, but I think it's an

2005
01:54:07,479 --> 01:54:11,280
Speaker 1: important management tool as well, especially yeah, it's done properly,

2006
01:54:11,320 --> 01:54:13,120
Speaker 1: I guess. You know, that's part of the reason we

2007
01:54:13,360 --> 01:54:17,040
Speaker 1: started doing this health program because you know, we're hoping

2008
01:54:17,080 --> 01:54:19,559
Speaker 1: to get information on these herds before we mix them together.

2009
01:54:20,800 --> 01:54:24,439
Speaker 1: Um it, it's we're trying that challenging we're we've been

2010
01:54:24,479 --> 01:54:28,160
Speaker 1: really cautious. I think in in recent recent years, recently

2011
01:54:28,200 --> 01:54:30,240
Speaker 1: we've been cautious, but we you know, if we we've

2012
01:54:30,320 --> 01:54:33,200
Speaker 1: I've seen a map that showed historically where sheep have

2013
01:54:33,320 --> 01:54:36,080
Speaker 1: been moved across the state. And it's extensive. I mean

2014
01:54:36,120 --> 01:54:38,560
Speaker 1: it's like if you've put a line from where the sheep,

2015
01:54:39,160 --> 01:54:42,080
Speaker 1: the herd, the sheep sheeper translicated from one herd to another.

2016
01:54:42,320 --> 01:54:44,720
Speaker 1: It's like a pile of spaghetti on top of the state.

2017
01:54:44,800 --> 01:54:47,320
Speaker 1: I mean, they're just they've moved everywhere. And that's true

2018
01:54:47,320 --> 01:54:51,000
Speaker 1: across the West. Yeah. Well, I think I think all

2019
01:54:51,040 --> 01:54:52,520
Speaker 1: these things. One thing I was thinking when we're talking

2020
01:54:52,520 --> 01:54:56,280
Speaker 1: about CWD, I think all these things, it's important to say, um,

2021
01:54:56,920 --> 01:55:00,360
Speaker 1: you just hey, Greg, who funds all this stuff? Uh?

2022
01:55:00,480 --> 01:55:04,680
Speaker 1: Well thanks for asking. You know, Uh, as with a

2023
01:55:04,760 --> 01:55:07,960
Speaker 1: lot of almost all of our work hunters and anglers

2024
01:55:08,000 --> 01:55:12,200
Speaker 1: through licensed dollars excise taxes. Um, you know we do

2025
01:55:12,360 --> 01:55:14,680
Speaker 1: a lot of our research is funded through the Pittman

2026
01:55:14,760 --> 01:55:18,560
Speaker 1: Robertson grant and so yeah, I mean that's that that's

2027
01:55:18,640 --> 01:55:22,720
Speaker 1: as everybody listening knows, that's the excise tax. And uh,

2028
01:55:22,840 --> 01:55:25,720
Speaker 1: it's a really cool system that we have that the

2029
01:55:25,880 --> 01:55:29,600
Speaker 1: folks that care about wildlife, care about healthy herds, healthy populations,

2030
01:55:30,400 --> 01:55:34,120
Speaker 1: put their money where their heart is, and yeah, we're

2031
01:55:34,120 --> 01:55:36,320
Speaker 1: funding it. Yeah. I mean that's as I think about this,

2032
01:55:36,400 --> 01:55:38,920
Speaker 1: and I think about c w D. Even if you're

2033
01:55:39,480 --> 01:55:42,160
Speaker 1: if you're you're not a lymph node puller and you're like,

2034
01:55:42,720 --> 01:55:45,480
Speaker 1: I'll just take money to the butcher, you're still just

2035
01:55:45,560 --> 01:55:47,800
Speaker 1: by buying that hunting license, or buying that shotgun, or

2036
01:55:47,840 --> 01:55:50,440
Speaker 1: buying this that m O, or buying your fishing tackle

2037
01:55:50,480 --> 01:55:53,600
Speaker 1: with Thinkle Johnson, you're you're contributing to this. So there's

2038
01:55:53,840 --> 01:55:56,800
Speaker 1: we've set up not an infallible system but a damn

2039
01:55:57,120 --> 01:55:59,600
Speaker 1: a damn good one to address these things, as scary

2040
01:55:59,600 --> 01:56:02,400
Speaker 1: as some of them can. Me. Yeah, maybe, but you

2041
01:56:02,480 --> 01:56:04,920
Speaker 1: know it's it's the and i'd throw in this. You know,

2042
01:56:05,280 --> 01:56:07,400
Speaker 1: it comes up with white nose syndrome because there isn't

2043
01:56:07,440 --> 01:56:10,160
Speaker 1: a license for We don't sell hunting licenses for bats,

2044
01:56:10,240 --> 01:56:12,880
Speaker 1: and so I don't get any ideas out there people

2045
01:56:13,640 --> 01:56:17,200
Speaker 1: bats are Bats are one of our non game species

2046
01:56:17,280 --> 01:56:20,440
Speaker 1: as as we classify them in this STATEPI. They're they're

2047
01:56:20,520 --> 01:56:24,200
Speaker 1: critical to the ecosystem, they're critical to the economy, and

2048
01:56:24,360 --> 01:56:28,640
Speaker 1: so I mean, I think I speak for the majority hunters.

2049
01:56:28,720 --> 01:56:33,200
Speaker 1: It's say, uh, we're I'm interested in a healthy population. Yeah, yeah,

2050
01:56:33,240 --> 01:56:35,320
Speaker 1: we've got a program we're working on here now called

2051
01:56:35,360 --> 01:56:37,800
Speaker 1: back forty. We bought a farm in Michigan. We looked

2052
01:56:38,040 --> 01:56:42,080
Speaker 1: at bees, we looked at the songbirds. We're going to

2053
01:56:42,120 --> 01:56:46,040
Speaker 1: look at bats. Like just looking at you know, what's

2054
01:56:46,040 --> 01:56:49,000
Speaker 1: all here and what does it all mean. That's something

2055
01:56:49,120 --> 01:56:51,640
Speaker 1: that has really been been great for me to be

2056
01:56:51,720 --> 01:56:53,520
Speaker 1: a part of and been inspiring for me to see,

2057
01:56:53,600 --> 01:56:57,600
Speaker 1: Like it's empowering to to see all that and to know,

2058
01:56:58,240 --> 01:57:00,120
Speaker 1: you know, this type of native plant life does this

2059
01:57:00,200 --> 01:57:02,800
Speaker 1: for pollinators, this type of and even to understand the

2060
01:57:02,880 --> 01:57:05,560
Speaker 1: diseases that affect these animals is in some way empowering

2061
01:57:05,640 --> 01:57:09,400
Speaker 1: to someone who let's go outside and understand, hey, maybe

2062
01:57:09,440 --> 01:57:13,440
Speaker 1: don't stick your hand in that wolf poop. And I know,

2063
01:57:14,560 --> 01:57:17,200
Speaker 1: I know you'd like to do that, but let we

2064
01:57:17,280 --> 01:57:20,400
Speaker 1: just don't do that. Well, and that's the thing to

2065
01:57:20,560 --> 01:57:23,600
Speaker 1: to you know, I mean, it's important to know about

2066
01:57:23,840 --> 01:57:26,920
Speaker 1: our lab is is we are a wildlife health lab.

2067
01:57:27,080 --> 01:57:29,440
Speaker 1: It is not a game animal lab. It is a

2068
01:57:29,480 --> 01:57:33,080
Speaker 1: wildlife health lab. And and so uh, you know, I

2069
01:57:33,480 --> 01:57:36,360
Speaker 1: know we're thinking about kind of kind of book ending

2070
01:57:36,440 --> 01:57:38,840
Speaker 1: this with a c w D conversation, but let's do

2071
01:57:38,960 --> 01:57:42,720
Speaker 1: it with al al herpies because another bring it back

2072
01:57:42,720 --> 01:57:46,520
Speaker 1: to al herpies. Greg, you' that's what that's what gets

2073
01:57:46,560 --> 01:57:52,840
Speaker 1: you to recurring guest status, non game issue that you

2074
01:57:52,920 --> 01:57:56,560
Speaker 1: know people are concerned about and and that we you know,

2075
01:57:56,720 --> 01:58:01,520
Speaker 1: until we look at all wildlife and whether it's owls

2076
01:58:01,680 --> 01:58:06,640
Speaker 1: or all owls matter, damn it always get in that trap. Um.

2077
01:58:07,680 --> 01:58:10,800
Speaker 1: But yeah, al herpies. Let's let's just say it's not prevalent,

2078
01:58:10,840 --> 01:58:13,440
Speaker 1: but we don't want to become prevalent, right And the

2079
01:58:13,600 --> 01:58:17,760
Speaker 1: thing too is, you know, you find an owl dead, Um,

2080
01:58:19,160 --> 01:58:20,840
Speaker 1: we don't know that it's al harpies. It could be

2081
01:58:20,880 --> 01:58:28,960
Speaker 1: our first highly pathogenic avian influenza which could affect or

2082
01:58:29,200 --> 01:58:32,200
Speaker 1: the bird flu But you know that there are a

2083
01:58:32,280 --> 01:58:34,920
Speaker 1: lot of possibilities there and some of those may not

2084
01:58:35,360 --> 01:58:38,160
Speaker 1: seem to affect everyone at first glance, but they may

2085
01:58:38,360 --> 01:58:40,840
Speaker 1: be more important than we realize unless we take a look.

2086
01:58:40,880 --> 01:58:44,160
Speaker 1: We don't know, So don't we should come up with something?

2087
01:58:44,200 --> 01:58:47,320
Speaker 1: You know, how they had like they'll have like sayings

2088
01:58:47,520 --> 01:58:51,920
Speaker 1: you know, don't drink and drives one of those don't

2089
01:58:51,960 --> 01:58:54,200
Speaker 1: touch the owls or something like that. We gotta come

2090
01:58:54,280 --> 01:58:56,760
Speaker 1: up with some like you're a communications we gotta come

2091
01:58:56,840 --> 01:59:00,120
Speaker 1: up with some like some sayings. Feel you guys hang

2092
01:59:00,200 --> 01:59:03,120
Speaker 1: on that like don't Well, I hopefully it's something better

2093
01:59:03,160 --> 01:59:06,440
Speaker 1: than don't touch the else. Well, that's just a starting

2094
01:59:06,480 --> 01:59:12,880
Speaker 1: point here. I think that maybe yeah, don't Yeah, I

2095
01:59:12,960 --> 01:59:15,640
Speaker 1: don't know. I'm stuck on dead don't touch its head.

2096
01:59:16,400 --> 01:59:20,480
Speaker 1: I'm stuck on co mingling event oh yeah, report co mingling,

2097
01:59:20,600 --> 01:59:25,240
Speaker 1: don't don't co mingle. Well, don't be a dingle and co.

2098
01:59:26,680 --> 01:59:29,840
Speaker 1: All right, man, that's gonna get my dad jokes. I'm like,

2099
01:59:29,920 --> 01:59:32,680
Speaker 1: I'm only I'm thirty three. I can't even making dad jokes. Phil.

2100
01:59:33,440 --> 01:59:35,160
Speaker 1: We'll just think how good you're gonna be when your

2101
01:59:35,200 --> 01:59:38,720
Speaker 1: forty three. That's true, I'm gonna be. So anyway, we'll

2102
01:59:38,760 --> 01:59:43,200
Speaker 1: work on our al herpes anti al herpes u pr

2103
01:59:43,280 --> 01:59:47,360
Speaker 1: lines we got. We gotta come up with one good one. Phil.

2104
01:59:47,760 --> 01:59:50,080
Speaker 1: You're always you always come through. Get the wheels turning.

2105
01:59:50,160 --> 01:59:52,200
Speaker 1: But it's taken longer than I was hoping. So that's

2106
01:59:52,280 --> 01:59:54,640
Speaker 1: lunchtime on a Friday. Man, you gotta get out of here.

2107
01:59:54,720 --> 01:59:57,880
Speaker 1: Well and four wheel drive. Yeah, well, don't touch the

2108
01:59:57,920 --> 02:00:00,480
Speaker 1: dead owls. That's the best we got for you. Thing, Emily,

2109
02:00:00,600 --> 02:00:02,120
Speaker 1: you feel like I feel like you might have something

2110
02:00:03,520 --> 02:00:06,560
Speaker 1: about owls. We need we need a pr line about

2111
02:00:06,600 --> 02:00:12,800
Speaker 1: not touching dead animals. Don't touch Yeah, just report animals,

2112
02:00:13,560 --> 02:00:17,240
Speaker 1: you know with c Now we're asking folks, especially now too,

2113
02:00:17,480 --> 02:00:20,840
Speaker 1: if they see something, say something, if it looks sick,

2114
02:00:21,960 --> 02:00:28,520
Speaker 1: don't be now, don't go there, don't be a mean person.

2115
02:00:31,920 --> 02:00:35,560
Speaker 1: All right, that's gotta be. Thank you guys for your service,

2116
02:00:36,640 --> 02:00:40,400
Speaker 1: thank you for looking into the feces and the carcasses,

2117
02:00:40,680 --> 02:00:45,560
Speaker 1: and somebody's got to do it. I'm gonna we're gonna

2118
02:00:45,600 --> 02:00:47,560
Speaker 1: send Phil over to to be with you, and the

2119
02:00:47,600 --> 02:00:50,000
Speaker 1: next time you get a call from a from a

2120
02:00:50,040 --> 02:00:52,200
Speaker 1: dead animal, he'll he's gonna put on the rubber gloves

2121
02:00:52,240 --> 02:00:54,280
Speaker 1: and get to it, right Phil, that's right, and then

2122
02:00:54,320 --> 02:00:58,400
Speaker 1: he'll report back to me what he finds. All right.

2123
02:00:59,640 --> 02:01:03,840
Speaker 1: This is about well, thanks for coming in, UM and

2124
02:01:04,080 --> 02:01:05,880
Speaker 1: everybody out there. We are going to book the end

2125
02:01:05,920 --> 02:01:08,320
Speaker 1: of c w D. If you're out there this season

2126
02:01:09,000 --> 02:01:10,840
Speaker 1: pulling your left noes and be sending those in for

2127
02:01:10,920 --> 02:01:13,800
Speaker 1: testing UM, even if you're not in an affected area,

2128
02:01:14,280 --> 02:01:17,120
Speaker 1: um in a monsitoring area. So go do it and

2129
02:01:17,720 --> 02:01:22,040
Speaker 1: do it every time. Yeah, give me like a we

2130
02:01:22,120 --> 02:01:27,880
Speaker 1: got a rallying cry for the close. This as something intellectual,

2131
02:01:28,000 --> 02:01:33,480
Speaker 1: Greg geez f WP dot mt dot com, slash c

2132
02:01:33,760 --> 02:01:36,520
Speaker 1: w D. There's a lot of information there. Even if

2133
02:01:36,560 --> 02:01:38,919
Speaker 1: you aren't from Montana, you'ld there's a lot of information

2134
02:01:39,040 --> 02:01:46,240
Speaker 1: to learn. Go there, all right, see you. I guess

2135
02:01:48,120 --> 02:01:51,560
Speaker 1: that's it. That's all another episode of the hunting Collective

2136
02:01:51,560 --> 02:01:54,800
Speaker 1: in the books. Thank you to Emily, to Jennifer, and

2137
02:01:54,880 --> 02:01:57,560
Speaker 1: to Greg for coming in. For what you do for

2138
02:01:57,680 --> 02:02:00,200
Speaker 1: wild life and for what you do for hunters. Um,

2139
02:02:00,320 --> 02:02:02,840
Speaker 1: it's a very interesting conversation, some of it very scary,

2140
02:02:03,000 --> 02:02:07,120
Speaker 1: very gross, but all of it very necessary. So please

2141
02:02:07,440 --> 02:02:11,280
Speaker 1: this fall, consider cutting the olympnos out of one of

2142
02:02:11,400 --> 02:02:14,560
Speaker 1: your deer species that you're killing and sending it in

2143
02:02:14,880 --> 02:02:16,720
Speaker 1: or bringing it to a check station. Now. I think

2144
02:02:16,760 --> 02:02:18,720
Speaker 1: that's it's something that we can all do, just a

2145
02:02:19,440 --> 02:02:22,680
Speaker 1: very easy thing to do that can make a difference

2146
02:02:23,160 --> 02:02:25,600
Speaker 1: in our own small way, which I think is important

2147
02:02:25,640 --> 02:02:30,880
Speaker 1: to remember all the time. UM, We've we're definitely into October.

2148
02:02:31,280 --> 02:02:34,520
Speaker 1: We've got a lot to talk about. But I think, UM,

2149
02:02:35,040 --> 02:02:37,080
Speaker 1: one of the coolest things that we've seen lately is

2150
02:02:37,160 --> 02:02:42,440
Speaker 1: the love from Mango the dog Phil. Yeah, it's been

2151
02:02:42,720 --> 02:02:45,720
Speaker 1: it's been great. Yeah. Yeah, we got some love from

2152
02:02:46,680 --> 02:02:49,880
Speaker 1: from our our guests today as well. Team Mango is Free,

2153
02:02:49,920 --> 02:02:55,520
Speaker 1: Mango Free, Free, Mango is forming. Uh Mango, we need

2154
02:02:55,600 --> 02:02:58,640
Speaker 1: to get Mango on into the podcast. Yeah, it's gonna go. Well,

2155
02:02:58,720 --> 02:03:01,040
Speaker 1: if if I were to sit here in the podcast

2156
02:03:01,160 --> 02:03:05,720
Speaker 1: room for recording, um, she would probably get get tangled

2157
02:03:05,800 --> 02:03:09,640
Speaker 1: up in the mess of cables at our underneath. So

2158
02:03:09,840 --> 02:03:14,840
Speaker 1: we'll we'll see how Freemano turns out. All right, Well,

2159
02:03:14,880 --> 02:03:16,960
Speaker 1: I'm gonna go lcom What are you gonna do this weekend?

2160
02:03:17,680 --> 02:03:20,200
Speaker 1: Oh man, I don't know. Might go to the farm,

2161
02:03:21,240 --> 02:03:23,560
Speaker 1: take some uh you have a farm or just a

2162
02:03:23,600 --> 02:03:25,560
Speaker 1: farm with someone else. It's a farm, you actually told

2163
02:03:25,600 --> 02:03:30,280
Speaker 1: me Rocky Creek here, Rocky Creek Farm. As soon as

2164
02:03:30,320 --> 02:03:31,960
Speaker 1: I went there, I'm like, that looks like you've got

2165
02:03:32,000 --> 02:03:33,960
Speaker 1: an apple press. You can pick your apples and press

2166
02:03:34,000 --> 02:03:36,160
Speaker 1: them in their giants. Took my kid there and I like,

2167
02:03:36,360 --> 02:03:39,280
Speaker 1: my wife made like apple strudel thing. It was, yeah,

2168
02:03:39,520 --> 02:03:41,200
Speaker 1: it's great. For as soon as I went there, I'm like, hey,

2169
02:03:41,880 --> 02:03:45,240
Speaker 1: you allow people to hunt here first thing right by

2170
02:03:45,280 --> 02:03:48,240
Speaker 1: the apple trees, that's where I'd like to go. I

2171
02:03:48,280 --> 02:03:50,480
Speaker 1: didn't get it, didn't get the permission. Sorry. Shout out

2172
02:03:50,480 --> 02:03:52,200
Speaker 1: to Rock Creek Farm. Please go there. And then when

2173
02:03:52,240 --> 02:03:54,640
Speaker 1: you go there, if you live in Bosman, go there

2174
02:03:54,680 --> 02:03:57,160
Speaker 1: and ask them if ben can hunt their property because

2175
02:03:58,160 --> 02:04:00,400
Speaker 1: it's a lot of big, good white tailed but so

2176
02:04:00,520 --> 02:04:02,480
Speaker 1: let's put a lot of pressure on them. That's good,

2177
02:04:02,720 --> 02:04:05,000
Speaker 1: that's a nice place. Well, I'm going out. I'm going

2178
02:04:05,000 --> 02:04:06,520
Speaker 1: to the mountains. I want you won'tly hear from me

2179
02:04:06,600 --> 02:04:09,000
Speaker 1: for a while, um, but you will help for me

2180
02:04:09,040 --> 02:04:11,400
Speaker 1: next week here on the hunting collective see that piece,

2181
02:04:12,080 --> 02:04:15,480
Speaker 1: you know, Because I can't go a week without doing

2182
02:04:15,840 --> 02:04:29,040
Speaker 1: run without absolute rug, drinking out right wrong, drinking in

2183
02:04:29,200 --> 02:04:45,960
Speaker 1: and don't sitting at the bostil. It starts to grow

2184
02:04:46,160 --> 02:04:50,480
Speaker 1: roots being the aging hold on out bar roush shoes down.