WEBVTT - Ep. 899: Jim Heffelfinger, The Deer Preacher

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<v Speaker 1>This is the me Eater podcast coming at you shirtless, severely,

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<v Speaker 1>bug bitten, and in my case, underwear listening, you can't

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<v Speaker 1>predict anything presented by First Light, creating proven versatile hunting

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<v Speaker 1>apparel from Marino bass layers to technical outerwear. For every hunt,

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<v Speaker 1>First Light Go farther, stay longer. This is gonna embarrass you, Jim,

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<v Speaker 1>But you know how I'm gonna introduce him. Can a

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<v Speaker 1>man I'm gonna say, Joined today by the smartest man

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<v Speaker 1>in the woods, by the smartest man in the woods,

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<v Speaker 1>Jim Hefflefinger. You're lying right off the bat, You're like, Okay,

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<v Speaker 1>how about this, Joined today by the most well informed

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<v Speaker 1>man in the woods. Okay, Jim heffle Finger, thank you

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<v Speaker 1>for coming in. It's great to be here. Yeah. If

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<v Speaker 1>listeners of the show know that rarely does an episode

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<v Speaker 1>go by when someone doesn't say Hefflefinger was telling me,

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<v Speaker 1>or Hefflefinger wrote in to explain, or Hefflefinger is mad

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<v Speaker 1>about blank because he, like I said, he's the he's

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<v Speaker 1>the smartest, most well informed man in the woods. And

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<v Speaker 1>when we're talking about stuff, he likes to tell us

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<v Speaker 1>where we where we hit and where we miss and

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<v Speaker 1>Jim comes on. You've been on I don't know how

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<v Speaker 1>many times, this maybe your third fourth time podcast, yea.

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<v Speaker 1>And what we do is we work up a bunch

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<v Speaker 1>of things that we're gonna talk about, and we agree

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<v Speaker 1>that and we agree on what we're gonna cover, and

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<v Speaker 1>we're gonna cover a bunch of those today. We're gonna

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<v Speaker 1>talk about We're gonna talk about Jim's thoughts and current

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<v Speaker 1>research on a thing that we've brought up in the

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<v Speaker 1>past is like, if you eat wild gamey, is the

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<v Speaker 1>lead gonna get you? Is the lead gonna kill you?

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<v Speaker 1>We're gonna talk about this thing that pops up now

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<v Speaker 1>and then if that the argument that by having more

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<v Speaker 1>predators on the landscape we would see a decline in

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<v Speaker 1>chronic wasting disease, We're gonna talk about that. We're gonna

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<v Speaker 1>talk about a thing you might see pop up in

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<v Speaker 1>the news now and then trophic cascades, particularly in the

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<v Speaker 1>context of when wolves came back to Yellowstone National Park.

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<v Speaker 1>People came up with all these sort of fantastical ideas

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<v Speaker 1>about the trophic cascades that occurred in the park thanks

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<v Speaker 1>to wolves. We're gonna talk about have Aleena getting their due.

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<v Speaker 1>We're gonna talk about some ungulate stuff, but the first

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<v Speaker 1>thing we're going to talk about is the Rompola buck. Now,

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<v Speaker 1>first I want to clarify a thing I and I

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<v Speaker 1>grew up near where I grew up, south of mitch

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<v Speaker 1>But but my father had my father had met him,

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<v Speaker 1>had known him, had handled some of the deer he

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<v Speaker 1>had killed in the past. He used to measure bucks

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<v Speaker 1>for like commemoraive bucks to Michigan. And somehow I had

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<v Speaker 1>in my head I for years have said Rampaula. But

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<v Speaker 1>that's a that's a lure rapella. Yeah, it's cast and

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<v Speaker 1>cast Paula's Rompola. We're working on a project. Jordan Sillers,

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<v Speaker 1>who you might know from Blood Trails, is working on

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<v Speaker 1>a podcast about We're doing a series along along Away,

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<v Speaker 1>this series that I've been talking about for a million

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<v Speaker 1>years on the Rompola buck. And for those of you

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<v Speaker 1>that just tune in for the first time, I'll try

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<v Speaker 1>to keep it brief. But officially, officially, the biggest buck

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<v Speaker 1>ever killed by the hands of man was killed by

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<v Speaker 1>in Canada by a guy named Milo Hansson. But shortly

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<v Speaker 1>after that buck was killed a buck that would have

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<v Speaker 1>beat Milo Hansson's buck to become the all time world

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<v Speaker 1>reck typical whitetail was air road by a guy named

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<v Speaker 1>Mitch Rompola and then withdrawn from consideration. So we're doing

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<v Speaker 1>a mystery series on is the buck real or not?

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<v Speaker 1>Which side are you on? Right? And so I've been

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<v Speaker 1>we've been wanting to interview We've been wanting to interview

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<v Speaker 1>half a finger about this buck because you have you

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<v Speaker 1>spent a lot of time on antlers and antler growth

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<v Speaker 1>and deer and everything. And one of the questions I

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<v Speaker 1>want to ask you about, and this will be included

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<v Speaker 1>in the series, but just to kick it around is

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<v Speaker 1>one of the things that people point out is that

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<v Speaker 1>where this buck got killed in northern Lower Peninsula, Michigan

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<v Speaker 1>is a place that does not make big bucks. They

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<v Speaker 1>don't have they don't make Boone and crocodile like God

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<v Speaker 1>does not make Boone and Crockett bucks in the Grand

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<v Speaker 1>Traverse Bay area of Michigan. What do you make of

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<v Speaker 1>something like that?

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<v Speaker 2>I've heard that, and I'm not an expert on the

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<v Speaker 2>whole Mitch from Paula Buck, I remember when it came

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<v Speaker 2>out around the Midwest. I grew up in Wisconsin, so

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<v Speaker 2>right next door, and and remember all the chatter about that,

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<v Speaker 2>and never paid much attention to it. Came back to

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<v Speaker 2>it more recently and helped Jordan out with the with

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<v Speaker 2>that series. And just from a basic standpoint of can

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<v Speaker 2>a monster buck like that come out of nowhere? And

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<v Speaker 2>and I I think it can. You know, it's a

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<v Speaker 2>matter of it's a matter of likelihood always when you're

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<v Speaker 2>when you're thinking about that sort of thing. But I've

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<v Speaker 2>seen cases in Sonora in the desert southwest where you

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<v Speaker 2>get you get a drop condition where all of the

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<v Speaker 2>antlers are a little stunted that year from nutritional restrictions,

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<v Speaker 2>and then out of nowhere there's this giant desert mule

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<v Speaker 2>here and you just wonder, how did he do that.

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<v Speaker 2>Antlers are secondary sex characteristics. They only get the extra

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<v Speaker 2>nutrition after the body gets what it needs, and then

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<v Speaker 2>it can throw off some extra nutrition to antler growth,

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<v Speaker 2>and so when they're nutritionally stressed, they don't throw that out.

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<v Speaker 2>And sometimes you'll get a buck that who knows why,

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<v Speaker 2>I found some good nutrition or has some kind of

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<v Speaker 2>genetics that is able to better deal with kind of

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<v Speaker 2>the environment, and you can get a monster out of

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<v Speaker 2>nowhere that that's not a reason to discount it when

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<v Speaker 2>you're talking about this case.

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<v Speaker 1>Another thing we're looking into in this series, and it's

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<v Speaker 1>an observation that another whitetail freak had made. And I

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<v Speaker 1>can't remember the number, but this whitetail enthusiast was saying

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<v Speaker 1>that one problem with the round pole of buck, it's

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<v Speaker 1>too perfect. And I can't remember the number, but let's

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<v Speaker 1>just say I don't remember. Let's just say at one

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<v Speaker 1>hundred and ninety inches, I say one hundred ninety inch tail.

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<v Speaker 1>He's like, once a deer gets that big, go find

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<v Speaker 1>me an example of a perfectly symmetrical buck that's that

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<v Speaker 1>big that doesn't have kickers.

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<v Speaker 2>They're there, I mean, examples are there. I looked at

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<v Speaker 2>the because it was Michigan. I looked at the Michigan

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<v Speaker 2>state records, and the number two and the number seven

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<v Speaker 2>buck in the Michigan state records is actually this was

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<v Speaker 2>not Michigan state records. It was a Bunoncracker records, but

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<v Speaker 2>only from Michigan. Boonecracker records from Michigan. Number two in Michigan,

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<v Speaker 2>number seven in Michigan are in the one eighty one

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<v Speaker 2>ninety Boone Crockett range, and one has one inch and

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<v Speaker 2>five ace deductions and the other one has two inch

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<v Speaker 2>and change deductions. So you can get these bucks in

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<v Speaker 2>that range that are almost perfectly symmetrical. So again it's

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<v Speaker 2>not a reason to discount the buck just because it'symmetrical. Yeah,

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<v Speaker 2>So what's your gut on the whole thing? I for

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<v Speaker 2>a while thought he probably just wants his privacy. He doesn't,

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<v Speaker 2>he doesn't, sure, he doesn't want the fame, but having

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<v Speaker 2>the world record shot with an arrow, that's a tough

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<v Speaker 2>thing to overcome. That He would tell everybody about it,

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<v Speaker 2>show people in the back of his truck, talk to

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<v Speaker 2>some media, and then within a day or two shut

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<v Speaker 2>up for three decades. There's something something strange. And one

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<v Speaker 2>thing I don't know if you want any spoiler alerts,

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<v Speaker 2>but one thing I talked to Jordan about was the

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<v Speaker 2>way the bases the pedicles. They come out an unusually

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<v Speaker 2>wide angle. Sure, so you can have wide bucks where

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<v Speaker 2>the antlers come straight out, you see them in South

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<v Speaker 2>Texas all the time, but those pedicles really seem to

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<v Speaker 2>come out like on the side of the head.

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<v Speaker 1>Kind of odd to me.

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<v Speaker 2>And one of them actually in the photo, and there's

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<v Speaker 2>not many photos. One of them actually looks a little

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<v Speaker 2>like a little different orientation than the other one. And

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<v Speaker 2>I wondered aloud to Jordan whether in past years something

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<v Speaker 2>could have happened to that skull and cracked it a

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<v Speaker 2>little and healed it and made those pedicles orient a

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<v Speaker 2>little more. Now, if he had done something with the

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<v Speaker 2>skull and cracked it, those antler times wouldn't be straight up.

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<v Speaker 2>They would be out because he bent it out.

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<v Speaker 1>But they're not.

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<v Speaker 2>They're straight up in that buck. But if that something

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<v Speaker 2>happened to that skull in the past that widened those

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<v Speaker 2>pedicles out, cracked it and rehealed, which there's cases of that,

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<v Speaker 2>and then subsequent antlers, the times would grow straight up

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<v Speaker 2>no matter what the orientation.

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<v Speaker 1>Repull up and put on his screen up here shot

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<v Speaker 1>of the round polar buck.

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<v Speaker 2>So I've just wondered, And this is all speculation because

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<v Speaker 2>we don't know. There isn't any evidence that it's a

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<v Speaker 2>legitimate buck, and there's no evidence that it's not a

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<v Speaker 2>legitimate book.

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<v Speaker 1>So we're all speculating. It's just all speculation.

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<v Speaker 2>So as long as we're speculating, those pedacles, if that

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<v Speaker 2>skull was damaged somehow and the pedicles were wider, and

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<v Speaker 2>then subsequent antler development made those times go straight up.

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<v Speaker 2>It would account for that. I mean, it's a theory,

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<v Speaker 2>but it would account for kind of the unusually wide

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<v Speaker 2>pedicles coming out of the skull. And I find it

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<v Speaker 2>strange that he talked to the media for a day.

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<v Speaker 2>He showed people the buck. It was apparently solid antlers.

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<v Speaker 2>Other people saw it in the battle.

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<v Speaker 1>There's guys, there's yeah, there's a lot. There's there's a

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<v Speaker 1>lot to the solidness of the end. Are you able

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<v Speaker 1>to do that or no? Go on?

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<v Speaker 2>So so then I wonder why was he talking to

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<v Speaker 2>the media and talking to everyone and then got home

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<v Speaker 2>and skinned the buck.

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<v Speaker 1>And shut up for three days. It is.

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<v Speaker 2>Now when I look at that the deer's left pedicle,

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<v Speaker 2>uh right, when you're looking at it, but the deer's

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<v Speaker 2>left side, it looks like that that base is coming

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<v Speaker 2>out a little lower to me. It could be the

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<v Speaker 2>angle of the camera, could be anything, but it comes

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<v Speaker 2>out kind of in the back of the eye, like

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<v Speaker 2>the eyes lined up with it, where on the other

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<v Speaker 2>side the eyes below the pedacle.

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<v Speaker 1>I was looking at that that.

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<v Speaker 2>Asymmetry in that and wondering if something didn't happen to

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<v Speaker 2>the skull. There's even kind of a divot in the

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<v Speaker 2>middle of that skull. Wonder if something didn't happen and

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<v Speaker 2>then it regrew normal antlers, but would account for that

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<v Speaker 2>wide with It's funny that he showed everybody, he talked

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<v Speaker 2>to the local media and then got home and skinned

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<v Speaker 2>it and shut up for three decades.

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<v Speaker 1>Why was that? And then when they went back to

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<v Speaker 1>the I mean you're familiar with all the like wild theories, yep. Yeah,

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<v Speaker 1>one of the wild theories being and I've sat on

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<v Speaker 1>both sides of this thing, and I and I don't

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<v Speaker 1>want to do too much like we're we're really we're

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<v Speaker 1>doing a lot on this, okay. But one of the

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<v Speaker 1>wild theories is people have looked at the ears, the

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<v Speaker 1>difference between the way the ears lay, the difference between

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<v Speaker 1>the positioning of the eyes. You can see it all here.

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<v Speaker 1>We got it pulled up coloration issues, right, And a theory,

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<v Speaker 1>a theory is that he skinned that head back and

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<v Speaker 1>put that rack on. He had made that rack and

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<v Speaker 1>he installed that rack on that buck. Yeah.

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<v Speaker 2>I don't well, I don't think he could have fabricated

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<v Speaker 2>he didn't. There's no evidence he has any experience in

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<v Speaker 2>doing any that sort of thing, and he's shot a

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<v Speaker 2>lot of big bucks. It wasn't unusual that he would

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<v Speaker 2>shoot a big buck. So I'm leaning more towards that

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<v Speaker 2>it possibly being a legal harvest, but maybe not eligible,

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<v Speaker 2>and he knew that, and so he would rather just

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<v Speaker 2>be quiet and have it be a missisis now eligible

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<v Speaker 2>because the skullplate was cracked, Possibly that's the theory. But

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<v Speaker 2>he came home and then you know, he was somewhat

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<v Speaker 2>of a taxidermist, and when they came to measure the buck,

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<v Speaker 2>he had it almost fully mounted on a shoulder mount,

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<v Speaker 2>he had the cape on it, he had the if

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<v Speaker 2>you look at the pictures of them actually measuring it

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<v Speaker 2>that day, the skull plates covered by fur, and he

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<v Speaker 2>left Apparently he left the back open. There's no photo

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<v Speaker 2>of the back that I've seen. He left the back

0:12:47.480 --> 0:12:50.200
<v Speaker 2>open so that they could inspect the skull plate. But

0:12:50.240 --> 0:12:52.720
<v Speaker 2>from the photo that I look at, the whole skullplates covered,

0:12:52.760 --> 0:12:55.280
<v Speaker 2>they could only I would guess, see the back of

0:12:55.280 --> 0:12:57.280
<v Speaker 2>the skull plate. So how would they be able to

0:12:57.320 --> 0:13:01.679
<v Speaker 2>evaluate if something was funny with that middle suture where

0:13:01.679 --> 0:13:02.600
<v Speaker 2>the bones come together.

0:13:03.800 --> 0:13:05.880
<v Speaker 1>That would be covered. From what I see in the photos,

0:13:05.880 --> 0:13:12.040
<v Speaker 1>it would be covered. Yeah, well, stay tuned, folks, this

0:13:12.240 --> 0:13:15.520
<v Speaker 1>it's gonna be good. Man. I'm excited about it. Theories

0:13:15.600 --> 0:13:18.200
<v Speaker 1>is all I'm doing. No, that's great, it's great. Keep

0:13:18.280 --> 0:13:21.360
<v Speaker 1>keep coming. And then again, we've done, We've done people

0:13:21.520 --> 0:13:24.719
<v Speaker 1>like we've called out looking for people that have any

0:13:24.800 --> 0:13:27.600
<v Speaker 1>kind of information, and of course that that offer always stands.

0:13:27.800 --> 0:13:29.439
<v Speaker 1>Let's jump to the next thing. No, man, is that

0:13:29.679 --> 0:13:33.280
<v Speaker 1>our hunter's all going to die from lead poisoning. I don't.

0:13:33.320 --> 0:13:35.400
<v Speaker 2>I don't think they have been lead poisoning. I mean,

0:13:35.440 --> 0:13:38.079
<v Speaker 2>you don't ever hear in the medical profession about one

0:13:38.080 --> 0:13:40.600
<v Speaker 2>of the dangers of lead exposure is eating game meat

0:13:40.640 --> 0:13:44.880
<v Speaker 2>shot with lead ammunition. The medical profession doesn't seem to

0:13:45.040 --> 0:13:47.800
<v Speaker 2>know about this, apparently because all of the bird, all

0:13:47.840 --> 0:13:52.760
<v Speaker 2>of the bird enthusiasts, are all concerned about hunter's health

0:13:52.800 --> 0:13:55.640
<v Speaker 2>and what they're feeding their children. Yeah, let me let

0:13:55.640 --> 0:14:00.520
<v Speaker 2>me set this up a little bit. You probably remember

0:14:00.520 --> 0:14:01.960
<v Speaker 2>when this has happened. It was some years ago.

0:14:03.320 --> 0:14:06.400
<v Speaker 1>Scattered around on the internet, all these photos where they

0:14:06.400 --> 0:14:10.480
<v Speaker 1>were doing like X rays of deer carcasses that have

0:14:10.600 --> 0:14:15.560
<v Speaker 1>been shot by rifles. Okay, and you look at these

0:14:15.600 --> 0:14:18.280
<v Speaker 1>carcasses and you see that that that those bullet fragments

0:14:18.360 --> 0:14:21.440
<v Speaker 1>really scatter and travel around. They do, and so you'd see,

0:14:22.240 --> 0:14:23.800
<v Speaker 1>you know, let's say it's an X ray of a

0:14:23.840 --> 0:14:28.040
<v Speaker 1>deer's rib cage scapula, and you can see the area

0:14:28.520 --> 0:14:30.840
<v Speaker 1>where the bullet hit. But then you see all these

0:14:30.880 --> 0:14:34.800
<v Speaker 1>little bright spots and they're metallic fragments that were I

0:14:34.800 --> 0:14:36.680
<v Speaker 1>guess they could get in the vascular system and move

0:14:36.680 --> 0:14:38.600
<v Speaker 1>a little bit. They kind of explode outward and move

0:14:38.640 --> 0:14:42.080
<v Speaker 1>a little bit. And it and and that, among other things,

0:14:42.120 --> 0:14:47.520
<v Speaker 1>really got people talking about the impacts of lead consumption because,

0:14:48.040 --> 0:14:50.840
<v Speaker 1>as you know, there's all this stuff about child development

0:14:50.960 --> 0:14:53.800
<v Speaker 1>and like you hear about like whatever, kids eating lead paint,

0:14:55.240 --> 0:15:01.280
<v Speaker 1>lead pipes, leeching water into lead, and is very staunch

0:15:01.360 --> 0:15:03.600
<v Speaker 1>position on you know, all the lead warnings. You can't

0:15:03.600 --> 0:15:06.560
<v Speaker 1>buy anything that doesn't come with some lead warning. For California,

0:15:06.920 --> 0:15:08.680
<v Speaker 1>you buy a lead headed jig, and it's got a

0:15:08.720 --> 0:15:10.680
<v Speaker 1>warning about how the lead headed jig is gonna kill you.

0:15:10.880 --> 0:15:14.120
<v Speaker 1>So there's definitely like an alarm, a sense of alarm

0:15:14.160 --> 0:15:18.320
<v Speaker 1>about consumption of lead. But it carried over into this

0:15:18.440 --> 0:15:21.920
<v Speaker 1>idea that that there's all this lead contamination out there

0:15:21.960 --> 0:15:24.680
<v Speaker 1>and gamey and you even now will see instances where

0:15:25.160 --> 0:15:28.600
<v Speaker 1>a state might say we're no longer accepting venison donations

0:15:28.640 --> 0:15:33.400
<v Speaker 1>because of the risk of lead. It's well documented that, well,

0:15:33.440 --> 0:15:38.200
<v Speaker 1>maybe you'll counter this, but it's well documented that raptors,

0:15:40.200 --> 0:15:44.200
<v Speaker 1>the most commonly excited example being California condors can get

0:15:44.280 --> 0:15:48.120
<v Speaker 1>lead poisoning from eating game meat killed by lead bullets.

0:15:48.280 --> 0:15:51.920
<v Speaker 1>That seems to be scientifically accepted. Yep, And so it

0:15:52.480 --> 0:15:57.120
<v Speaker 1>jumped to, well, it must be bad for us too, right, yeah, yeah.

0:15:57.240 --> 0:15:58.760
<v Speaker 1>Let let's let me let me ask you like a

0:15:58.800 --> 0:16:05.600
<v Speaker 1>series of questions. Okay, what's your take on your personal

0:16:05.640 --> 0:16:11.880
<v Speaker 1>take the scientific understanding of like raptors? Okay, do raptors?

0:16:12.280 --> 0:16:15.160
<v Speaker 1>Is it accepted in your mind? Is it accepted that

0:16:15.320 --> 0:16:20.440
<v Speaker 1>raptors die from lead exposure from eating hunter killed deer carcasses. Yep?

0:16:20.600 --> 0:16:25.200
<v Speaker 2>At the individual level, lead can be really, really toxic

0:16:25.360 --> 0:16:27.800
<v Speaker 2>to raptors. They have a different and birds in general,

0:16:27.800 --> 0:16:31.080
<v Speaker 2>they have a different digestive system, and so raptors are

0:16:31.160 --> 0:16:33.760
<v Speaker 2>very susceptible. They can get even a small fragment of

0:16:33.880 --> 0:16:36.720
<v Speaker 2>lead when they're feeding on an animal that was a

0:16:36.720 --> 0:16:39.400
<v Speaker 2>carcass left in the field, or an animal that was wounded,

0:16:39.440 --> 0:16:42.160
<v Speaker 2>a coil that was hit with a lead shot and

0:16:42.200 --> 0:16:44.960
<v Speaker 2>then it wasn't retrieved. If they get a little bit

0:16:44.960 --> 0:16:48.000
<v Speaker 2>of lead in them, it can make them sick and

0:16:48.080 --> 0:16:50.840
<v Speaker 2>it certainly can kill them. So at an individual level,

0:16:50.840 --> 0:16:53.920
<v Speaker 2>it's very dangerous. The problem is when you scale this

0:16:54.040 --> 0:16:56.720
<v Speaker 2>up and say, is this really a conservation issue that

0:16:56.760 --> 0:17:00.000
<v Speaker 2>should force hunters to switch to a non lead ammunition,

0:17:00.080 --> 0:17:03.440
<v Speaker 2>And you look at the data that we have available,

0:17:03.480 --> 0:17:07.720
<v Speaker 2>there is a population level effect of accidental secondary lead

0:17:07.840 --> 0:17:14.160
<v Speaker 2>ingestion by raptors from ammunition. But what I encourage people

0:17:14.160 --> 0:17:16.560
<v Speaker 2>to look at is not just the fact that there's

0:17:16.560 --> 0:17:20.159
<v Speaker 2>a population level effect, but what is the magnitude of

0:17:20.200 --> 0:17:22.920
<v Speaker 2>that effect? Is it a serious issue from the population level?

0:17:23.160 --> 0:17:24.879
<v Speaker 2>And when you look at research that's been done, there

0:17:24.920 --> 0:17:28.199
<v Speaker 2>were seven Northeastern states, they looked at eagles ingestion, They

0:17:28.200 --> 0:17:32.320
<v Speaker 2>did some modeling, and they determined that the having using

0:17:32.400 --> 0:17:37.000
<v Speaker 2>lead ammunition on the landscape dampened the bald egal population

0:17:37.119 --> 0:17:39.919
<v Speaker 2>growth rate by four to six percent. So bald eagles

0:17:39.960 --> 0:17:42.360
<v Speaker 2>all over the country are just rocketing up. They're doing

0:17:42.440 --> 0:17:47.240
<v Speaker 2>really well. Record numbers, trajectories going up their models showed

0:17:47.240 --> 0:17:50.400
<v Speaker 2>that that trajectory upward would be dampened four to six

0:17:50.440 --> 0:17:54.560
<v Speaker 2>percent if we use lead ammunition in those seven Northeastern states.

0:17:54.720 --> 0:17:57.679
<v Speaker 2>So I encourage people to think, is that a serious

0:17:57.920 --> 0:18:01.800
<v Speaker 2>conservation concern that everybody in those Northeastern states should switch

0:18:01.840 --> 0:18:04.720
<v Speaker 2>the kind of ammo they use so that ball eagles

0:18:04.760 --> 0:18:07.960
<v Speaker 2>can increase four to six percent faster than they already are.

0:18:08.359 --> 0:18:11.160
<v Speaker 2>Golden eagles, it was less than one percent. In fact,

0:18:11.200 --> 0:18:15.040
<v Speaker 2>another research in another completely different project in the West

0:18:15.160 --> 0:18:19.040
<v Speaker 2>looked and found that golden eagle population growth rate was

0:18:19.080 --> 0:18:21.640
<v Speaker 2>dampened by zero point eight percent, so less than one

0:18:21.680 --> 0:18:25.679
<v Speaker 2>percent effect on golden egle population growth rate. And so

0:18:25.760 --> 0:18:28.280
<v Speaker 2>when you look in Europe, they did studies on twenty

0:18:28.280 --> 0:18:31.399
<v Speaker 2>two different raptor species. If you average the effect on

0:18:31.480 --> 0:18:34.720
<v Speaker 2>twenty two different raptor species in Europe, which had just

0:18:34.760 --> 0:18:38.639
<v Speaker 2>announced a ban in Europe on lead ammunition, was right.

0:18:38.960 --> 0:18:41.360
<v Speaker 2>Just yesterday I saw that home like an EU ban.

0:18:41.960 --> 0:18:44.120
<v Speaker 2>I don't think it's I don't know, that's what I asked.

0:18:44.119 --> 0:18:46.359
<v Speaker 2>I actually asked, is this EU or what? And I

0:18:46.359 --> 0:18:48.800
<v Speaker 2>don't know. I didn't get the answer. But in twenty

0:18:48.800 --> 0:18:52.320
<v Speaker 2>two different raptor species in Europe, the average effect on

0:18:52.400 --> 0:18:56.240
<v Speaker 2>the population was that it increased using lead ammunition on

0:18:56.280 --> 0:19:00.520
<v Speaker 2>the landscape for big game hunting, increased mortality rates by

0:19:00.520 --> 0:19:04.639
<v Speaker 2>a half a percent using lead. So if you banned

0:19:04.640 --> 0:19:07.600
<v Speaker 2>all lead in Europe, the mortality rates would be a

0:19:07.640 --> 0:19:10.479
<v Speaker 2>half a percent lower for twenty two raptor species. So

0:19:10.560 --> 0:19:16.280
<v Speaker 2>to me, I'm wondering, where is this giant conservation concern

0:19:16.560 --> 0:19:19.320
<v Speaker 2>that everybody would need to change ammo. So it's a

0:19:19.359 --> 0:19:22.000
<v Speaker 2>long answer to the individual question, but I think it's important.

0:19:22.880 --> 0:19:26.600
<v Speaker 2>It is lethal to individuals. It's the number one thing

0:19:27.200 --> 0:19:30.840
<v Speaker 2>that's inhibiting condor recovery condor and endangered species, so every

0:19:30.880 --> 0:19:34.479
<v Speaker 2>mortality counts, and they're very susceptual lead poisoning, so it's

0:19:34.520 --> 0:19:39.480
<v Speaker 2>a serious issue within condor range. Arizona has a voluntary

0:19:39.520 --> 0:19:42.840
<v Speaker 2>program where hunters can voluntarily switch to non lead ammunition

0:19:43.400 --> 0:19:45.719
<v Speaker 2>or take their gut piles out of the field completely

0:19:45.800 --> 0:19:48.800
<v Speaker 2>so they're not leaving anything for the condors, and that

0:19:49.040 --> 0:19:51.560
<v Speaker 2>has been adopted by eighty eight to ninety one percent

0:19:51.600 --> 0:19:54.240
<v Speaker 2>of the hunters in Arizona, so it's very successful voluntary

0:19:54.280 --> 0:19:57.159
<v Speaker 2>program compared to other states like California that just have

0:19:57.480 --> 0:19:59.520
<v Speaker 2>a top down Dracconian ban on.

0:20:00.359 --> 0:20:05.320
<v Speaker 1>Yeah, so but I hear that. Is that explain to

0:20:05.320 --> 0:20:10.679
<v Speaker 1>me the idea that like lead going through a condor's

0:20:10.760 --> 0:20:13.240
<v Speaker 1>digestive tract is different than lead going through a human

0:20:13.280 --> 0:20:14.800
<v Speaker 1>beings digestive tract? Yes?

0:20:15.080 --> 0:20:17.360
<v Speaker 2>Is it something to do with the pH they it's

0:20:17.560 --> 0:20:21.320
<v Speaker 2>it's pH with the acidic digestive tract. And it's also

0:20:21.440 --> 0:20:24.240
<v Speaker 2>the they don't have just a stomach like like we do.

0:20:24.560 --> 0:20:27.919
<v Speaker 2>They have other organs that the lead pellets and the

0:20:27.960 --> 0:20:30.280
<v Speaker 2>meat that they eat sit in there a long time

0:20:30.359 --> 0:20:33.439
<v Speaker 2>to dissolve in that that acidic environment, and it's the

0:20:33.560 --> 0:20:37.200
<v Speaker 2>length of time that that metallic lead sits in there.

0:20:37.400 --> 0:20:38.960
<v Speaker 2>So I hope we talk about different kinds of lead.

0:20:39.000 --> 0:20:39.840
<v Speaker 2>That's an important part.

0:20:40.000 --> 0:20:44.359
<v Speaker 1>Okay, So what is are you aware of cases? And

0:20:44.400 --> 0:20:45.840
<v Speaker 1>I feel like I've read these, but I can't remember

0:20:45.840 --> 0:20:48.680
<v Speaker 1>what happened. Where they'd go in and look at people

0:20:48.760 --> 0:20:52.600
<v Speaker 1>that have been consuming game meet their whole life, and

0:20:52.680 --> 0:20:55.119
<v Speaker 1>then go try to see like, well how much this person,

0:20:55.400 --> 0:20:57.119
<v Speaker 1>how much lead is in this person's system.

0:20:57.320 --> 0:20:59.840
<v Speaker 2>Yes, there's been several studies like that, and it started

0:20:59.840 --> 0:21:04.520
<v Speaker 2>in North Dakota in two thousand and seven. A dermatologist

0:21:04.720 --> 0:21:06.359
<v Speaker 2>who happened to be on the board of directors of

0:21:06.359 --> 0:21:11.120
<v Speaker 2>a major, major raptor organization. He went into a food

0:21:11.160 --> 0:21:14.080
<v Speaker 2>bank in North Dakota, grabbed ninety three packages x ray

0:21:14.160 --> 0:21:17.000
<v Speaker 2>them and about half of those had lead fragments in there.

0:21:17.040 --> 0:21:20.000
<v Speaker 2>So he sounded the alarm. And people have questioned the

0:21:20.080 --> 0:21:23.679
<v Speaker 2>motives being on the board of directors for a raptor organization,

0:21:24.320 --> 0:21:26.840
<v Speaker 2>but he sounded the alarm. And so the Department of

0:21:26.840 --> 0:21:29.240
<v Speaker 2>Health in North Dakota tested blood samples for North Dakota

0:21:29.600 --> 0:21:32.000
<v Speaker 2>people all over the state. Had seven hundred and thirty

0:21:32.000 --> 0:21:34.679
<v Speaker 2>six samples, I think, and they found that those that

0:21:34.760 --> 0:21:38.280
<v Speaker 2>said they hunted had twice the lead level as those

0:21:38.320 --> 0:21:42.000
<v Speaker 2>that didn't, and that spread like wildfire. Everybody picked that

0:21:42.119 --> 0:21:44.359
<v Speaker 2>up and that hunters are poisoning themselves. They have twice

0:21:44.400 --> 0:21:48.040
<v Speaker 2>the lead level. What wasn't reported was that level of

0:21:48.119 --> 0:21:51.480
<v Speaker 2>hunters twice the lead level was about the national average

0:21:51.520 --> 0:21:53.560
<v Speaker 2>of lead for everybody at that time. It was one

0:21:53.560 --> 0:21:56.720
<v Speaker 2>point twenty seven micrograms were DESCO leader and the national

0:21:56.720 --> 0:21:59.560
<v Speaker 2>average was one point twenty five at the time, and

0:21:59.600 --> 0:22:01.919
<v Speaker 2>so it was twice a level of non hunters, but

0:22:01.960 --> 0:22:04.959
<v Speaker 2>it was still below any level that any medical science

0:22:04.960 --> 0:22:08.840
<v Speaker 2>has shown lead problems in humans, and in fact, the

0:22:08.920 --> 0:22:11.960
<v Speaker 2>reality was that those that didn't hunt, because it's probably

0:22:12.000 --> 0:22:15.160
<v Speaker 2>sparsely populated North Dakota, the ones that didn't hunt had

0:22:15.240 --> 0:22:18.680
<v Speaker 2>below average lead levels because the hunters had about the

0:22:18.760 --> 0:22:20.439
<v Speaker 2>national average lead levels.

0:22:20.720 --> 0:22:21.760
<v Speaker 1>There's been that study.

0:22:21.920 --> 0:22:24.040
<v Speaker 2>I think one of the most important studies on human

0:22:24.080 --> 0:22:28.000
<v Speaker 2>effects of eating game meat with lead comes from a

0:22:28.080 --> 0:22:31.000
<v Speaker 2>First Nations up in Ontario where they looked at people

0:22:31.040 --> 0:22:34.520
<v Speaker 2>during the waterfall season. These communities were eating a lot

0:22:34.600 --> 0:22:37.760
<v Speaker 2>of ducks killed with lead shot, so they tested lead

0:22:37.840 --> 0:22:40.600
<v Speaker 2>levels before the waterfall season, they tested them after the

0:22:40.600 --> 0:22:41.399
<v Speaker 2>waterfall season.

0:22:41.720 --> 0:22:42.240
<v Speaker 1>They found that.

0:22:43.760 --> 0:22:48.359
<v Speaker 2>People that people that hunted ducks had a higher blood

0:22:48.440 --> 0:22:50.960
<v Speaker 2>lead level at the end of the duck season because

0:22:50.960 --> 0:22:53.040
<v Speaker 2>they were eating a lot of ducks and so they

0:22:53.040 --> 0:22:56.320
<v Speaker 2>were getting lead pretty frequently in their diet. But what

0:22:56.400 --> 0:22:58.720
<v Speaker 2>they found out in that study was that those that

0:22:58.760 --> 0:23:01.800
<v Speaker 2>were sitting at the supper table eating the same meals

0:23:02.200 --> 0:23:04.920
<v Speaker 2>but didn't go out on the hunt had normal They

0:23:04.920 --> 0:23:07.280
<v Speaker 2>did not have an increase in blood lead levels. So

0:23:07.320 --> 0:23:10.360
<v Speaker 2>it was something about actually being on the hunt that

0:23:10.480 --> 0:23:12.960
<v Speaker 2>seemed to increase the lead levels, not eating the meals

0:23:13.000 --> 0:23:15.560
<v Speaker 2>because these other people are eating the same meals at

0:23:15.600 --> 0:23:16.280
<v Speaker 2>the same table.

0:23:16.480 --> 0:23:17.280
<v Speaker 1>What does that mean?

0:23:17.720 --> 0:23:23.560
<v Speaker 2>That the primers in shot shells and in pistol rounds

0:23:23.560 --> 0:23:26.000
<v Speaker 2>and rifle rounds the primers And here's where we're getting

0:23:26.000 --> 0:23:28.720
<v Speaker 2>in different kinds of lead. The primers have a different

0:23:28.840 --> 0:23:32.800
<v Speaker 2>kind of lead that's highly absorbable. It's organic lead compound

0:23:33.240 --> 0:23:37.600
<v Speaker 2>in the primers of cartridges. And that lead compound can

0:23:37.680 --> 0:23:39.840
<v Speaker 2>be absorbed through the skin. It can be absorbed through

0:23:39.880 --> 0:23:43.480
<v Speaker 2>your lung tissue by breathing. By breathing it that these

0:23:43.640 --> 0:23:47.399
<v Speaker 2>organic lead compounds that are used in strengthening plastics, clutch

0:23:48.119 --> 0:23:53.760
<v Speaker 2>shoes and break shoes and all kinds of different product

0:23:53.840 --> 0:23:56.960
<v Speaker 2>waterproofing products. They use these organic lead compounds because it

0:23:57.000 --> 0:24:01.440
<v Speaker 2>improves the product in some way. But that organic lead

0:24:01.480 --> 0:24:05.639
<v Speaker 2>compound is different than the metallic the inorganic metallic lead,

0:24:06.160 --> 0:24:09.240
<v Speaker 2>and so those compounds can be absorbed through the skin.

0:24:09.480 --> 0:24:11.440
<v Speaker 2>If you get me your digestive track, you eat something

0:24:11.480 --> 0:24:14.200
<v Speaker 2>with it on there that goes right into your bloodstream.

0:24:14.400 --> 0:24:17.040
<v Speaker 2>Metallic lead like what might be in a quail, a

0:24:17.119 --> 0:24:20.280
<v Speaker 2>number eight pellet, or a little fragment of bullet that

0:24:20.359 --> 0:24:22.920
<v Speaker 2>ends up in your burger. That's metallic lead that goes

0:24:22.960 --> 0:24:26.040
<v Speaker 2>through the human digestive system twenty four to forty eight

0:24:26.040 --> 0:24:29.400
<v Speaker 2>hours and passes through so quickly it doesn't have time

0:24:29.440 --> 0:24:32.600
<v Speaker 2>to dissolve. It's not sitting in there and dissolving, and

0:24:32.680 --> 0:24:36.800
<v Speaker 2>so that metallic lead Occasionally hunters don't get lead in

0:24:36.800 --> 0:24:39.800
<v Speaker 2>their system. Very often, but very occasionally. Lead coming through

0:24:39.840 --> 0:24:42.959
<v Speaker 2>the system and then leaving the system is not going

0:24:43.000 --> 0:24:47.520
<v Speaker 2>to elevate blood lead levels like an organic compound lead compound,

0:24:47.920 --> 0:24:51.480
<v Speaker 2>and so handling shotgun shells, breathing the gun smoke that

0:24:51.480 --> 0:24:55.560
<v Speaker 2>has some aerosolized primer residue, picking up your shot shells,

0:24:55.600 --> 0:24:58.639
<v Speaker 2>I shoot pistols competitively, and I'm concerned about when I

0:24:58.640 --> 0:25:01.680
<v Speaker 2>pick up all my pistol brass reload it. I'm careful

0:25:01.720 --> 0:25:03.640
<v Speaker 2>not to touch my face because I know that that

0:25:03.680 --> 0:25:07.080
<v Speaker 2>has prim lead primer residue. But I'll hold lead bullets

0:25:07.119 --> 0:25:09.639
<v Speaker 2>reloading all day long. That metallic lead's not going to

0:25:09.680 --> 0:25:13.040
<v Speaker 2>come through my skin, but that primer residue with organic

0:25:13.160 --> 0:25:15.560
<v Speaker 2>lead compounds can. So when you have these people talk

0:25:15.600 --> 0:25:19.480
<v Speaker 2>about lead is obviously a toxin. They're talking about these

0:25:19.600 --> 0:25:22.760
<v Speaker 2>organic lead compounds that were in leaded paint, organic lead

0:25:22.800 --> 0:25:25.840
<v Speaker 2>compounds that were in leaded gasoline. All of that stuff

0:25:25.840 --> 0:25:28.840
<v Speaker 2>that causes these human health issues was a different form

0:25:28.880 --> 0:25:32.920
<v Speaker 2>of lead. You don't have doctors talking about eating game

0:25:32.920 --> 0:25:36.000
<v Speaker 2>meat shot with lead ammunition as being a problem, because

0:25:36.040 --> 0:25:38.280
<v Speaker 2>if you look on the websites for like the CDC,

0:25:39.119 --> 0:25:43.560
<v Speaker 2>the FDA, the EPA, the American Academy of Pediatricians, you

0:25:43.600 --> 0:25:45.880
<v Speaker 2>look on their websites, they have page after page of

0:25:46.800 --> 0:25:48.960
<v Speaker 2>things that you should be careful of so you don't

0:25:49.160 --> 0:25:52.240
<v Speaker 2>increase your lead exposure, what kind of ways you can

0:25:52.280 --> 0:25:55.680
<v Speaker 2>increase your lead exposure. None of those websites say anything

0:25:55.960 --> 0:25:58.320
<v Speaker 2>about eating game meat shot with lad ammunition. It's just

0:25:58.359 --> 0:26:01.000
<v Speaker 2>not an issue in the medical profession. With one exception,

0:26:01.080 --> 0:26:03.280
<v Speaker 2>the CDC has added one sentence a couple of years

0:26:03.320 --> 0:26:06.080
<v Speaker 2>ago that said, if you're breastfeeding, you may want to

0:26:06.160 --> 0:26:11.159
<v Speaker 2>limit your eating of game meat shot with ammunition. So

0:26:11.720 --> 0:26:13.800
<v Speaker 2>why is it that the entire medical profession is not

0:26:13.840 --> 0:26:17.240
<v Speaker 2>warning people about this. But there's a lot of bird

0:26:17.240 --> 0:26:20.280
<v Speaker 2>groups that are warning people about it because it's the ulterior.

0:26:20.400 --> 0:26:24.360
<v Speaker 2>It's their ulterior motive just to try to save bird mortalities.

0:26:24.600 --> 0:26:27.520
<v Speaker 2>But I think we should talk about bird mortalities and

0:26:27.960 --> 0:26:31.080
<v Speaker 2>not try to use this red herring to as a

0:26:31.119 --> 0:26:33.880
<v Speaker 2>hammer to try to get laws changed, and I've seen

0:26:34.520 --> 0:26:37.640
<v Speaker 2>in Maryland, New Jersey the full court press to band

0:26:37.720 --> 0:26:40.800
<v Speaker 2>let ammunitions statewide in some of these states. Is this

0:26:40.920 --> 0:26:43.280
<v Speaker 2>human health aspect which is not really an issue.

0:26:43.359 --> 0:26:45.480
<v Speaker 1>Yeah, they're thinking about one thing and talk about a

0:26:45.520 --> 0:26:47.440
<v Speaker 1>different thing. Yeah, yeah, exactly.

0:26:47.480 --> 0:26:50.840
<v Speaker 2>They know that human health and children and lead poisoning

0:26:50.920 --> 0:26:53.639
<v Speaker 2>will resonate with people, and they're getting laws passed with

0:26:53.720 --> 0:26:54.760
<v Speaker 2>misinformation like that.

0:26:55.200 --> 0:27:00.480
<v Speaker 1>Yeah. Man, it wouldn't be hard to find it. Just

0:27:00.480 --> 0:27:02.560
<v Speaker 1>shoot all the time, but never eat gained me. It'd

0:27:02.560 --> 0:27:06.400
<v Speaker 1>be interesting to look at their lead. Yeah. Well, use

0:27:06.440 --> 0:27:07.159
<v Speaker 1>me for an example.

0:27:07.240 --> 0:27:09.520
<v Speaker 2>If you look at a bar chart of different studies

0:27:09.520 --> 0:27:11.359
<v Speaker 2>have been done with people that eat a lot of

0:27:11.359 --> 0:27:15.000
<v Speaker 2>game meat with lead, and the more they like. There

0:27:15.040 --> 0:27:19.920
<v Speaker 2>was an Inuit community that ate sea ducks shot with lead.

0:27:19.960 --> 0:27:22.000
<v Speaker 2>It was a different study than the other one, and

0:27:22.720 --> 0:27:24.960
<v Speaker 2>they asked people how often they eat sea ducks, so

0:27:24.960 --> 0:27:27.320
<v Speaker 2>how often they might be exposed to lead shot. And

0:27:27.640 --> 0:27:30.080
<v Speaker 2>it wasn't until you got to the people who ate

0:27:30.160 --> 0:27:33.439
<v Speaker 2>sea ducks daily or almost daily, that their lead levels

0:27:33.440 --> 0:27:35.760
<v Speaker 2>were up to a point where over a doctor ten

0:27:35.800 --> 0:27:38.600
<v Speaker 2>micrograms per desolator, where a doctor normally says where you're

0:27:38.600 --> 0:27:40.720
<v Speaker 2>getting this lead exposure from if you had to eat

0:27:40.800 --> 0:27:42.119
<v Speaker 2>sea ducks almost daily.

0:27:42.160 --> 0:27:42.399
<v Speaker 1>For that.

0:27:43.320 --> 0:27:46.360
<v Speaker 2>My lead levels are higher than that from my pistol shooting,

0:27:46.680 --> 0:27:48.879
<v Speaker 2>from breathing that smoke that has some of the primer

0:27:49.440 --> 0:27:53.600
<v Speaker 2>aerosolized in it, from handling shells. Mine was at eighteen

0:27:53.840 --> 0:27:56.679
<v Speaker 2>at one point and it's been at twelve micrograms per

0:27:56.720 --> 0:27:59.600
<v Speaker 2>desolat CDC used to use ten for the safe level.

0:27:59.600 --> 0:28:00.640
<v Speaker 1>They don't do that anymore.

0:28:00.960 --> 0:28:03.400
<v Speaker 2>But mine was at eighteen twelve, and then I started

0:28:03.760 --> 0:28:06.600
<v Speaker 2>religiously washing my hands after a pistol match and washing

0:28:06.600 --> 0:28:09.240
<v Speaker 2>my hands really good after I reloaded and handle all that,

0:28:09.280 --> 0:28:11.200
<v Speaker 2>and it came right down to five and six.

0:28:11.280 --> 0:28:11.960
<v Speaker 1>Oh you didn't.

0:28:11.960 --> 0:28:14.520
<v Speaker 2>So that's where my lead exposure was obviously coming from.

0:28:14.800 --> 0:28:17.600
<v Speaker 2>And throughout all that high blood levels when I was

0:28:17.640 --> 0:28:20.760
<v Speaker 2>at eighteen, our family has been using nothing but copper

0:28:20.800 --> 0:28:23.720
<v Speaker 2>bullets since two thousand and nine, so I had these

0:28:23.800 --> 0:28:26.320
<v Speaker 2>high blood lead levels. I've been using nothing but copper

0:28:26.359 --> 0:28:30.919
<v Speaker 2>ammo at that time for fifteen years, So it's not

0:28:31.520 --> 0:28:33.800
<v Speaker 2>the lead fragments, and we eat game meat all the time,

0:28:33.880 --> 0:28:36.920
<v Speaker 2>but it's shot with copper bullets. And then I'm over

0:28:36.920 --> 0:28:39.560
<v Speaker 2>here reloading, getting my lead exposure. So when they survey

0:28:39.720 --> 0:28:44.000
<v Speaker 2>hunters versus non hunters, those hunters are they're making fishing sinkers,

0:28:44.000 --> 0:28:46.680
<v Speaker 2>they're reloading, they're shooting, they're doing a lot of other

0:28:46.720 --> 0:28:49.840
<v Speaker 2>things that are exposing them to the real dangerous sources

0:28:49.880 --> 0:28:53.959
<v Speaker 2>of lead, and the game meat eating is probably not

0:28:54.000 --> 0:28:57.320
<v Speaker 2>registering that at all. There's some very rare exceptions if

0:28:57.400 --> 0:29:00.040
<v Speaker 2>you eat if you eat game meat every day and

0:29:00.120 --> 0:29:03.600
<v Speaker 2>you shoot lead and you're you've got Burgers is more

0:29:03.600 --> 0:29:06.960
<v Speaker 2>of an issue. Burgers can have twenty around twenty twenty

0:29:07.080 --> 0:29:10.320
<v Speaker 2>five percent of the packages might have one lead fragment

0:29:10.360 --> 0:29:14.920
<v Speaker 2>in it according to some studies, and hole cuts like

0:29:15.040 --> 0:29:17.720
<v Speaker 2>steaks and roasts it's only two or three percent have

0:29:17.920 --> 0:29:21.440
<v Speaker 2>even one lead fragment. So burger is more of an

0:29:21.480 --> 0:29:24.440
<v Speaker 2>issue if you're eating burger like daily, if you think

0:29:24.480 --> 0:29:28.760
<v Speaker 2>you might be getting lead fragments more days than not.

0:29:29.600 --> 0:29:32.000
<v Speaker 2>And there was one guy in New Zealand that was

0:29:32.040 --> 0:29:33.880
<v Speaker 2>eating meat shot with lead every day and he had

0:29:33.880 --> 0:29:36.920
<v Speaker 2>super high lead levels. So there's there's extreme cases of

0:29:36.960 --> 0:29:41.959
<v Speaker 2>individuals like that that you see. Another strange case is

0:29:42.720 --> 0:29:45.200
<v Speaker 2>everybody has an appendix unless they've had it taken out,

0:29:45.480 --> 0:29:47.719
<v Speaker 2>and that's like a blind sack and the adjustive system.

0:29:47.960 --> 0:29:50.200
<v Speaker 2>And if you're a quail hunter and you're eating a

0:29:50.320 --> 0:29:53.120
<v Speaker 2>lot of birds duve and quail number eight shot. There's

0:29:53.120 --> 0:29:56.320
<v Speaker 2>been cases where a couple number eight pellets have dropped

0:29:56.320 --> 0:29:58.880
<v Speaker 2>into that blind appendix and then been trapped in there.

0:29:59.240 --> 0:30:02.040
<v Speaker 2>It may stay in there for years, and then if

0:30:02.040 --> 0:30:04.120
<v Speaker 2>it's in there for years, then it's going to start

0:30:04.960 --> 0:30:08.000
<v Speaker 2>absorbing some of that metallic lead just because of the

0:30:08.080 --> 0:30:11.640
<v Speaker 2>length of exposure. Gunshot victims have been shown too, especially

0:30:11.640 --> 0:30:13.920
<v Speaker 2>for some reason if it's near a joint, maybe it's

0:30:13.920 --> 0:30:16.840
<v Speaker 2>an emphatic system or something. A gunshot victim where they

0:30:16.880 --> 0:30:19.760
<v Speaker 2>leave a lead bulletin can have dangerously high blood levels

0:30:20.520 --> 0:30:24.360
<v Speaker 2>in a future years. So if it's metallic lead, passing

0:30:24.360 --> 0:30:26.320
<v Speaker 2>through your system in a day or two is not

0:30:26.440 --> 0:30:29.160
<v Speaker 2>an issue. If it's a metallic lead that stays in

0:30:29.200 --> 0:30:30.680
<v Speaker 2>your system a long time, it can be.

0:30:31.360 --> 0:30:34.040
<v Speaker 1>Man. When we were kids, we had the stuff to

0:30:34.080 --> 0:30:38.360
<v Speaker 1>pour our own split shot, you know, and we go

0:30:38.400 --> 0:30:42.960
<v Speaker 1>down to the gun range, sift the berms out, get

0:30:43.000 --> 0:30:47.960
<v Speaker 1>the shot out, melt it, separate the garbage from the lead,

0:30:48.200 --> 0:30:51.800
<v Speaker 1>pour the lead into the molds, making sinkers, no respirators

0:30:51.840 --> 0:30:53.640
<v Speaker 1>or nothing. Just doing right in the garage and then

0:30:53.680 --> 0:30:55.680
<v Speaker 1>you spend all day with those sinkers packed in your

0:30:55.720 --> 0:31:00.800
<v Speaker 1>lip like a jaw. Always kind of wanted to get

0:31:00.840 --> 0:31:02.720
<v Speaker 1>my LED tests, but I've never gotten to test again.

0:31:03.320 --> 0:31:05.520
<v Speaker 2>Yeah, I always encourage competitive shooters, a lot of them

0:31:05.520 --> 0:31:07.600
<v Speaker 2>aren't aware of it, to get it tested because if

0:31:07.640 --> 0:31:10.800
<v Speaker 2>you're not being careful, like I started to washing my hands,

0:31:11.320 --> 0:31:15.160
<v Speaker 2>it can be an issue. But the whole issue of

0:31:15.520 --> 0:31:19.200
<v Speaker 2>eating game meat. When you look at packages like commercially produced,

0:31:20.240 --> 0:31:24.560
<v Speaker 2>commercially ground venison, burger has a higher level people that

0:31:24.560 --> 0:31:27.840
<v Speaker 2>grind it themselves. They keep all those bloody scraps out

0:31:27.840 --> 0:31:30.360
<v Speaker 2>of their burger pile. You know, they're more careful about

0:31:30.360 --> 0:31:33.320
<v Speaker 2>what you're hurting in the burger pile personally until the

0:31:33.680 --> 0:31:36.440
<v Speaker 2>number of fragments and personally ground venison is a lot lower.

0:31:37.160 --> 0:31:38.960
<v Speaker 2>If you do the math and how many meals of

0:31:39.080 --> 0:31:42.720
<v Speaker 2>venison a family has, a family of four has, and

0:31:42.840 --> 0:31:46.640
<v Speaker 2>what percentage those packages might have one fragment that only

0:31:46.680 --> 0:31:49.080
<v Speaker 2>one person at the table gets. You do the math

0:31:49.160 --> 0:31:52.320
<v Speaker 2>on it, It's like someone might get a fragment once

0:31:52.360 --> 0:31:54.720
<v Speaker 2>a month. I did the math for Arizona using some

0:31:54.800 --> 0:31:58.160
<v Speaker 2>data that we had and maybe once a month, you

0:31:58.200 --> 0:32:00.760
<v Speaker 2>get an occasional fragment that passes through your system. If

0:32:00.760 --> 0:32:03.720
<v Speaker 2>you look at the reality and the science that's there,

0:32:03.760 --> 0:32:06.320
<v Speaker 2>it's not an issue. But politicians are not looking at

0:32:06.320 --> 0:32:08.600
<v Speaker 2>any of that. They're not interested in that. Someone tells

0:32:08.600 --> 0:32:10.880
<v Speaker 2>them that hunters are poisoning their kids, and they feel

0:32:10.920 --> 0:32:13.360
<v Speaker 2>like they got to do something. Yeah, get into trouble

0:32:13.400 --> 0:32:14.800
<v Speaker 2>with laws that don't make sense.

0:32:15.000 --> 0:32:22.560
<v Speaker 1>Yeah, okay, CWD and predators. Yeah, this is another example

0:32:22.800 --> 0:32:25.360
<v Speaker 1>of people. In my mind, this is another example of

0:32:25.400 --> 0:32:30.760
<v Speaker 1>people thinking one thing and talking about another. Okay, so

0:32:30.880 --> 0:32:36.040
<v Speaker 1>you will have I'm going to color this. I'm going

0:32:36.080 --> 0:32:38.760
<v Speaker 1>to color this heavily with personal opinion. Okay, and you

0:32:38.760 --> 0:32:47.040
<v Speaker 1>can walk it back if you choose predator advocates, of

0:32:47.080 --> 0:32:50.720
<v Speaker 1>which I sort of count myself as one. But like like,

0:32:51.280 --> 0:32:55.000
<v Speaker 1>I like living on a predator environment. I like having

0:32:55.040 --> 0:32:58.800
<v Speaker 1>the animals, all the native wildlife present. I get excited

0:32:58.840 --> 0:33:01.520
<v Speaker 1>when I see mountain lions, get excited when I see wolves.

0:33:02.120 --> 0:33:04.520
<v Speaker 1>I get a kick out of seeing kyotes and bobcats.

0:33:04.560 --> 0:33:07.040
<v Speaker 1>I'm not like an anti predator guy, but I also

0:33:07.200 --> 0:33:12.880
<v Speaker 1>am a predator management advocate and I try it. We

0:33:12.960 --> 0:33:16.959
<v Speaker 1>hunt predators, we use for products Okay, so I have

0:33:17.000 --> 0:33:21.560
<v Speaker 1>a nuanced relationship with predators. But I notice that people

0:33:21.560 --> 0:33:24.959
<v Speaker 1>that have a view that know that are absolutists that like,

0:33:25.040 --> 0:33:27.840
<v Speaker 1>predators should not be managed, predators should not be killed,

0:33:27.880 --> 0:33:31.720
<v Speaker 1>predator shouldn't be hunted. They probably never think for a

0:33:31.840 --> 0:33:35.120
<v Speaker 1>minute about CWD, oftentimes because most of them are not

0:33:35.280 --> 0:33:38.959
<v Speaker 1>educated on wildlife issues. They don't follow wildlife issues. They're like,

0:33:39.040 --> 0:33:43.000
<v Speaker 1>they're like predator saviors first and foremost, and they divorce

0:33:43.080 --> 0:33:47.320
<v Speaker 1>their love for predators from any conversation about wildlife management,

0:33:47.800 --> 0:33:53.400
<v Speaker 1>about issues of biodiversity. They are pro predator and that's it.

0:33:53.400 --> 0:33:58.160
<v Speaker 1>It seems like that group, that group of people is

0:33:58.320 --> 0:34:02.520
<v Speaker 1>all of a sudden now interested in chronic wasting disease.

0:34:02.720 --> 0:34:06.880
<v Speaker 1>Why because they're now saying, oh, you know how I

0:34:06.920 --> 0:34:09.799
<v Speaker 1>always felt that no one should hurt a predator, Well,

0:34:09.880 --> 0:34:13.040
<v Speaker 1>check this out. This is why if there was more

0:34:13.200 --> 0:34:16.880
<v Speaker 1>predators on the landscape, they'd take care of chronic wasting disease,

0:34:17.120 --> 0:34:19.680
<v Speaker 1>and we wouldn't have any chronic wasting disease because everybody

0:34:19.719 --> 0:34:22.359
<v Speaker 1>who's seen never cry wolf knows that they always pick

0:34:22.440 --> 0:34:26.279
<v Speaker 1>the sick animal and eat it. Therefore, we shouldn't have

0:34:26.440 --> 0:34:29.800
<v Speaker 1>any predator management any predator control because I all of

0:34:29.840 --> 0:34:34.120
<v Speaker 1>a sudden care a ton about CWD, and I would

0:34:34.160 --> 0:34:38.160
<v Speaker 1>like these predators to eliminate CWD, right right.

0:34:40.600 --> 0:34:44.520
<v Speaker 2>So that's so that's exactly what happened. People are laser

0:34:44.560 --> 0:34:49.400
<v Speaker 2>focused on their favorite toothy animal, and they're always hungry

0:34:49.440 --> 0:34:54.200
<v Speaker 2>for and always promoting any notion of little information that

0:34:54.280 --> 0:34:59.240
<v Speaker 2>might indicate that these things are are renovating whole ecosystems,

0:34:59.400 --> 0:35:03.080
<v Speaker 2>they're changed the course of rivers, they're managing CWD for us,

0:35:03.280 --> 0:35:06.680
<v Speaker 2>they're curbing climate change, and they're just generally saving the planet.

0:35:06.920 --> 0:35:08.880
<v Speaker 2>I mean, if they if they can latch onto a

0:35:08.920 --> 0:35:13.000
<v Speaker 2>piece of information that supports that kind of idea.

0:35:13.400 --> 0:35:14.160
<v Speaker 1>They run with it.

0:35:14.200 --> 0:35:16.839
<v Speaker 2>And there's and there's a ton of reporters in big

0:35:16.880 --> 0:35:20.439
<v Speaker 2>cities that have no exposure to wildlife that that don't

0:35:20.480 --> 0:35:25.160
<v Speaker 2>really understand hunting culture, don't really understand wildlife management at all,

0:35:25.480 --> 0:35:28.200
<v Speaker 2>and they're and they're very eager to grab those kinds

0:35:28.239 --> 0:35:31.280
<v Speaker 2>of stories and say, yeah, predators are great. The predators

0:35:31.320 --> 0:35:33.719
<v Speaker 2>are just going to manage the the ecosystem and the.

0:35:33.920 --> 0:35:37.000
<v Speaker 1>It's the urban journalist's wet dream, dude, Yeah, to see

0:35:37.080 --> 0:35:40.000
<v Speaker 1>they pop up, you know, And that's what happens like

0:35:40.200 --> 0:35:41.320
<v Speaker 1>spreads like wildfire.

0:35:41.560 --> 0:35:44.319
<v Speaker 2>Well, what what happened was a number of years ago,

0:35:44.400 --> 0:35:48.040
<v Speaker 2>quite a few years ago, people doing research found out

0:35:48.120 --> 0:35:53.000
<v Speaker 2>that mountain lions were killing a disproportionate number of CWD

0:35:53.160 --> 0:35:57.560
<v Speaker 2>positive meal deer, more so disproportionate from healthy meal.

0:35:57.800 --> 0:36:00.480
<v Speaker 1>Sure, And so that, which I have zero problem believing,

0:36:01.400 --> 0:36:04.280
<v Speaker 1>exactly makes sense, especially in the later stages of CWD.

0:36:04.760 --> 0:36:07.040
<v Speaker 1>Animals just are unaware. Even in the.

0:36:07.040 --> 0:36:10.239
<v Speaker 2>Earlier stages, there's probably cues that prayers pick up on

0:36:10.280 --> 0:36:11.360
<v Speaker 2>that we don't even notice.

0:36:11.560 --> 0:36:12.640
<v Speaker 1>But animals a little.

0:36:12.520 --> 0:36:15.400
<v Speaker 2>Less strifty, a little less able to get away, like

0:36:15.480 --> 0:36:18.440
<v Speaker 2>a mountain lion's hiding in the bushes and charges a

0:36:18.440 --> 0:36:21.880
<v Speaker 2>group of meal there. If you've got the CWD animal

0:36:21.920 --> 0:36:24.319
<v Speaker 2>might be a little slower in detecting that flash of

0:36:24.320 --> 0:36:26.040
<v Speaker 2>fur coming out of the brush. And so there's a

0:36:26.040 --> 0:36:28.319
<v Speaker 2>lot of reasons why they can be disproportioned. If he's

0:36:28.360 --> 0:36:31.440
<v Speaker 2>ten percent less observant, Yeah, and it's going to come out.

0:36:31.440 --> 0:36:36.320
<v Speaker 2>And so people found that these urban writers and carnivore

0:36:36.400 --> 0:36:40.040
<v Speaker 2>cheerleaders grabbed onto this and just they ran with it.

0:36:40.080 --> 0:36:41.960
<v Speaker 2>And so you heard this everywhere, and that was just

0:36:42.000 --> 0:36:44.640
<v Speaker 2>the first little bit of information and then later on.

0:36:44.719 --> 0:36:48.080
<v Speaker 1>But that within that and I don't have the time

0:36:48.120 --> 0:36:51.319
<v Speaker 1>to do this, but someone that studies the media, it

0:36:51.320 --> 0:36:55.520
<v Speaker 1>would have been interesting to go look and say, how

0:36:55.680 --> 0:37:01.440
<v Speaker 1>interested has this person been in CWD? Yeah, or a

0:37:01.560 --> 0:37:04.839
<v Speaker 1>number Are they historically interested in CWD or are they

0:37:05.040 --> 0:37:06.480
<v Speaker 1>just interested today?

0:37:06.800 --> 0:37:10.960
<v Speaker 2>Because they just saw this, and so that bit of

0:37:11.000 --> 0:37:14.440
<v Speaker 2>information like started spreading like wildfire, and everybody started thinking

0:37:14.440 --> 0:37:17.560
<v Speaker 2>about hey, and they're just making bold statements about not

0:37:17.600 --> 0:37:19.719
<v Speaker 2>only like mountain lions are going to control CWD and

0:37:19.760 --> 0:37:22.160
<v Speaker 2>meal there, but carnivores are going to control.

0:37:21.880 --> 0:37:24.560
<v Speaker 1>CWD in all the whole deer family.

0:37:24.960 --> 0:37:28.600
<v Speaker 2>And so that chugged along and then people started people

0:37:28.640 --> 0:37:30.600
<v Speaker 2>started doing some research on that to look into it

0:37:30.640 --> 0:37:32.359
<v Speaker 2>a little further because that was a number of years ago,

0:37:32.920 --> 0:37:35.600
<v Speaker 2>and there was some modeling that was done. And if

0:37:35.600 --> 0:37:37.759
<v Speaker 2>you build a population model and you say, okay, we're

0:37:37.800 --> 0:37:40.520
<v Speaker 2>going to keep everything consistent except we're going to have

0:37:40.600 --> 0:37:45.080
<v Speaker 2>mountain lions kill CWD positive meal there at a higher rate, Well,

0:37:45.320 --> 0:37:47.880
<v Speaker 2>guess what happens. They're going to control CWD. It's just

0:37:47.920 --> 0:37:51.000
<v Speaker 2>a mathematical certainty if you just build a simple model.

0:37:51.239 --> 0:37:54.120
<v Speaker 2>There's some people that build a built a real complex

0:37:54.160 --> 0:37:57.319
<v Speaker 2>model and took a lot of things into consideration. They

0:37:57.800 --> 0:38:00.520
<v Speaker 2>ran a whole bunch of different modeling scenarios. Some of

0:38:00.560 --> 0:38:07.760
<v Speaker 2>the scenarios they varied where the predators killed CWD positive

0:38:07.800 --> 0:38:09.400
<v Speaker 2>animals at a higher rate or at a one to

0:38:09.400 --> 0:38:11.920
<v Speaker 2>one rate with healthy animals. Other things they varied in

0:38:11.960 --> 0:38:15.160
<v Speaker 2>the model is like, as CWD progressed in an individual

0:38:15.280 --> 0:38:18.960
<v Speaker 2>deer or else, does as soon as it gets infected

0:38:18.960 --> 0:38:21.799
<v Speaker 2>with CWD, do predators start praying right away at the

0:38:21.800 --> 0:38:25.360
<v Speaker 2>beginning of the phase of infection or does it ramp

0:38:25.440 --> 0:38:29.160
<v Speaker 2>up and they pray a lot more higher predation when

0:38:29.200 --> 0:38:31.160
<v Speaker 2>the animal gets sicker and sicker. And they could model

0:38:31.200 --> 0:38:33.680
<v Speaker 2>that into the model, and they did that. They varied that,

0:38:34.040 --> 0:38:38.120
<v Speaker 2>and they varied the overall level of predation on the animals,

0:38:38.160 --> 0:38:40.160
<v Speaker 2>and they ran these They ran thousands and thousands of

0:38:40.160 --> 0:38:43.640
<v Speaker 2>these scenarios. And it wasn't to see if carnivores we

0:38:44.239 --> 0:38:47.280
<v Speaker 2>were controlling CWD, but it was to look at under

0:38:47.280 --> 0:38:50.880
<v Speaker 2>what conditions would they possibly control CWD.

0:38:51.480 --> 0:38:54.759
<v Speaker 1>And the paper of the research, I just want to

0:38:54.760 --> 0:38:57.040
<v Speaker 1>explain a thing real quick that That's why I make

0:38:57.080 --> 0:39:00.160
<v Speaker 1>sure people are getting when you're talking about this is

0:39:00.160 --> 0:39:05.919
<v Speaker 1>is imagine that Okay, imagine you have a white tailed

0:39:05.920 --> 0:39:08.520
<v Speaker 1>deer and he's it's a terrible winner and he's starving

0:39:08.560 --> 0:39:13.600
<v Speaker 1>to death and he's depleted, but he gets killed by coyote,

0:39:14.480 --> 0:39:18.239
<v Speaker 1>but he's probably doomed anyway. What do you call that? Right?

0:39:18.520 --> 0:39:21.600
<v Speaker 1>Is that? Is that winter or kill? Or is that predation? Yeah?

0:39:21.719 --> 0:39:23.920
<v Speaker 1>Do you follow me? So I get the point you're

0:39:23.960 --> 0:39:30.160
<v Speaker 1>making is is as they get like as an infected

0:39:30.200 --> 0:39:33.480
<v Speaker 1>animal gets near death, does it wind up being that

0:39:33.600 --> 0:39:40.680
<v Speaker 1>almost like that almost the predation event would almost be

0:39:40.760 --> 0:39:44.879
<v Speaker 1>a symptom, right, like a symptom of the disease being

0:39:45.040 --> 0:39:45.800
<v Speaker 1>being predated.

0:39:46.000 --> 0:39:49.000
<v Speaker 2>Yep, there's there's They call it approximate and alternate causes

0:39:49.040 --> 0:39:51.520
<v Speaker 2>of mortality. Some of the more recent research is actually

0:39:51.600 --> 0:39:56.600
<v Speaker 2>assigning probabilities to the different causes of mortality like that was,

0:39:56.760 --> 0:40:00.920
<v Speaker 2>and and through modeling that was like seventy five mountain

0:40:00.960 --> 0:40:03.759
<v Speaker 2>lion predation twenty five percent CWD. They're actually starting to

0:40:03.760 --> 0:40:06.520
<v Speaker 2>do things like that. But that's true when you get

0:40:06.520 --> 0:40:08.840
<v Speaker 2>to the later stages. The animal is probably going to

0:40:08.880 --> 0:40:11.439
<v Speaker 2>die in the next six months from CWD anyway, because

0:40:11.440 --> 0:40:14.319
<v Speaker 2>the only last two years once they get infected, and

0:40:14.360 --> 0:40:17.240
<v Speaker 2>so an animal takes it out that's somewhat compensatory between

0:40:17.239 --> 0:40:21.600
<v Speaker 2>those two mortality sources. But they did a model that

0:40:21.880 --> 0:40:25.080
<v Speaker 2>varied all these different things. Some of the model outputs

0:40:25.160 --> 0:40:28.840
<v Speaker 2>and the research paper will say predators can control CWD.

0:40:29.000 --> 0:40:31.759
<v Speaker 2>That would be the result, But then you read the

0:40:31.800 --> 0:40:36.719
<v Speaker 2>paper itself, and those scenarios where predators did control CWD

0:40:36.840 --> 0:40:39.160
<v Speaker 2>and kept it at a low level, the deer and

0:40:39.160 --> 0:40:42.160
<v Speaker 2>elk populations were cut in half, and so that may

0:40:42.239 --> 0:40:45.480
<v Speaker 2>not be an ideal situation for people that like robust

0:40:45.760 --> 0:40:47.799
<v Speaker 2>deer and elk populations. You know, maybe that's not a

0:40:47.800 --> 0:40:52.200
<v Speaker 2>great thing to have that situation. They had other modeling

0:40:52.239 --> 0:40:56.600
<v Speaker 2>scenarios where predators actually eradicated or almost eradicated the CWD

0:40:56.719 --> 0:41:00.400
<v Speaker 2>in that population. But the deer and elk population they

0:41:00.440 --> 0:41:04.120
<v Speaker 2>were gone in thirty years. They were gone, like nowhere

0:41:04.120 --> 0:41:06.520
<v Speaker 2>dear in elk. So they controlled c to D because

0:41:06.520 --> 0:41:08.279
<v Speaker 2>there's no deer and elk left in the model run.

0:41:08.680 --> 0:41:10.600
<v Speaker 2>This is and when you run a model, when you

0:41:10.640 --> 0:41:14.200
<v Speaker 2>run a model right right then, So the models are valuable.

0:41:14.239 --> 0:41:16.880
<v Speaker 2>You know, they say all models are wrong, some are valuable,

0:41:17.160 --> 0:41:19.680
<v Speaker 2>And they say that because models are valuable because you

0:41:19.680 --> 0:41:23.200
<v Speaker 2>can look at different relationships of different scenarios, and the

0:41:23.600 --> 0:41:28.759
<v Speaker 2>first result they got from that modeling was that predators

0:41:28.840 --> 0:41:34.480
<v Speaker 2>could control CWD into population, but under certain conditions. But

0:41:34.520 --> 0:41:37.279
<v Speaker 2>those conditions weren't operating in Yellowstone National Park.

0:41:37.480 --> 0:41:38.120
<v Speaker 1>And what that.

0:41:38.120 --> 0:41:40.960
<v Speaker 2>Was was predators in the model that showed that if

0:41:41.000 --> 0:41:46.160
<v Speaker 2>predators preyed on prime age animals primarily and primarily on

0:41:46.280 --> 0:41:51.040
<v Speaker 2>infected prime animals, they could control CWD, But predators aren't

0:41:51.080 --> 0:41:54.200
<v Speaker 2>in Yellowstone. Wolves and mountain lions are preying on young

0:41:54.480 --> 0:41:56.600
<v Speaker 2>and they're praying on old individuals. They're praying on the

0:41:56.640 --> 0:42:00.360
<v Speaker 2>wrong classes of animals to actually control c to WD.

0:42:00.719 --> 0:42:03.040
<v Speaker 2>So they in their in their report, in their in

0:42:03.120 --> 0:42:07.560
<v Speaker 2>their paper, they will say predators could control CWD. But

0:42:08.520 --> 0:42:10.919
<v Speaker 2>people will quote that. People will cite that and say,

0:42:10.960 --> 0:42:13.680
<v Speaker 2>see they can. But you read the paper and they say,

0:42:13.719 --> 0:42:16.360
<v Speaker 2>but they're killing the wrong classes of animals to do it.

0:42:16.880 --> 0:42:19.400
<v Speaker 2>And so you have to nuance that, you have to

0:42:19.440 --> 0:42:21.000
<v Speaker 2>all take into account.

0:42:21.239 --> 0:42:21.919
<v Speaker 1>But people don't.

0:42:21.920 --> 0:42:24.640
<v Speaker 2>They'll grab what nugget they want and they'll cite it,

0:42:25.000 --> 0:42:26.680
<v Speaker 2>and you have to go to that paper, which most

0:42:26.680 --> 0:42:29.600
<v Speaker 2>people don't do, and and read in the entire paper,

0:42:29.960 --> 0:42:32.600
<v Speaker 2>like they can eradicate CWD. But that means there's no

0:42:32.680 --> 0:42:35.120
<v Speaker 2>deer and elk left, So is that valuable?

0:42:36.200 --> 0:42:46.880
<v Speaker 1>Yeah? Do you feel whatever the models reveal? I mean,

0:42:46.920 --> 0:42:49.200
<v Speaker 1>do you feel that it's helped. Like would you argue like,

0:42:49.280 --> 0:42:51.680
<v Speaker 1>let's say you were a man, you were a state

0:42:51.880 --> 0:42:54.880
<v Speaker 1>agency manager and you were tasked with or you like

0:42:54.920 --> 0:42:57.920
<v Speaker 1>the CWD ZR for an animal for a for a

0:42:57.960 --> 0:43:01.319
<v Speaker 1>state agency. You're the CWD guy, and like a lever

0:43:01.480 --> 0:43:05.200
<v Speaker 1>you can pull is how many kyotes around the landscape

0:43:06.000 --> 0:43:07.880
<v Speaker 1>and you're looking at all the things you have available

0:43:07.880 --> 0:43:10.800
<v Speaker 1>to you, would you go and be like, one of

0:43:10.840 --> 0:43:12.960
<v Speaker 1>the things I'm going to do is I'm going to

0:43:13.040 --> 0:43:16.000
<v Speaker 1>turn up that I'm going to turn up the coyote dial.

0:43:16.800 --> 0:43:19.439
<v Speaker 1>I'm going to turn up the lion dial as part

0:43:19.480 --> 0:43:21.239
<v Speaker 1>of my management strategy. Yeah.

0:43:21.440 --> 0:43:25.360
<v Speaker 2>No, because there isn't any evidence that shows that making

0:43:25.400 --> 0:43:29.320
<v Speaker 2>those pulling those levers will improve CWD. I'm interested in

0:43:29.880 --> 0:43:36.160
<v Speaker 2>population level effects, not whether mountain lions kill disproportionately kill

0:43:36.280 --> 0:43:37.160
<v Speaker 2>positive animals.

0:43:37.239 --> 0:43:38.360
<v Speaker 1>I'm looking at big picture.

0:43:39.080 --> 0:43:41.760
<v Speaker 2>Having carnivores on the landscape, does that make a difference

0:43:41.920 --> 0:43:46.799
<v Speaker 2>from having maybe also robust, healthy population in the carnivores,

0:43:47.480 --> 0:43:51.680
<v Speaker 2>but sustainably hunted a small percentage of the population or

0:43:51.719 --> 0:43:55.200
<v Speaker 2>compared to having no carnivores. There isn't any evidence yet

0:43:55.280 --> 0:43:59.600
<v Speaker 2>that chose at a population level that changing the management

0:43:59.719 --> 0:44:04.080
<v Speaker 2>or being the harvest of coyotes and wolves and mountain

0:44:04.160 --> 0:44:06.920
<v Speaker 2>lions is going to change the CWD trajectory.

0:44:08.120 --> 0:44:11.040
<v Speaker 1>Where do you sit on CWD these days? It's such

0:44:11.040 --> 0:44:14.520
<v Speaker 1>a constantly evolving thing. My own opinions, my own fears,

0:44:14.680 --> 0:44:19.799
<v Speaker 1>morph and mature, and you know, all the time, where

0:44:19.840 --> 0:44:21.799
<v Speaker 1>are you at, like just in a very general way,

0:44:21.840 --> 0:44:24.879
<v Speaker 1>where you at? I don't know. I'm not solidly on

0:44:24.880 --> 0:44:25.799
<v Speaker 1>one side or the other.

0:44:25.880 --> 0:44:28.479
<v Speaker 2>What I think about is is and we've talked about

0:44:28.480 --> 0:44:31.200
<v Speaker 2>it before. I think forty fifty years of people in

0:44:31.239 --> 0:44:34.959
<v Speaker 2>the Rocky Mountain States eating CWD positive venison. And they've

0:44:35.000 --> 0:44:36.759
<v Speaker 2>done a lot of studies to see if there's an

0:44:36.760 --> 0:44:40.400
<v Speaker 2>increase in cruise yakov disease or any other variant that

0:44:40.520 --> 0:44:44.880
<v Speaker 2>might be related to that. In nothing, they've done intensive research, nothing,

0:44:45.000 --> 0:44:48.680
<v Speaker 2>no evidence that it's crossed over into humans at all.

0:44:49.320 --> 0:44:52.400
<v Speaker 2>But when I talk to my wildlife my disease expert friends,

0:44:52.880 --> 0:44:56.440
<v Speaker 2>they say, you know, mad cow disease created a variant

0:44:56.440 --> 0:44:59.880
<v Speaker 2>that went into humans in England, and so yes, we

0:45:00.000 --> 0:45:02.880
<v Speaker 2>we have this decades and decades of proof that it

0:45:02.880 --> 0:45:06.360
<v Speaker 2>doesn't cross into humans, but it would only take once,

0:45:06.719 --> 0:45:10.160
<v Speaker 2>and so that's why they CDC and most of the

0:45:10.200 --> 0:45:14.120
<v Speaker 2>disease experts will recommend not eating animals you know are

0:45:14.120 --> 0:45:18.400
<v Speaker 2>a CWD positive. And so I'm I'm I'm not on

0:45:18.400 --> 0:45:20.600
<v Speaker 2>one side or the other. It gives me great comfort

0:45:20.640 --> 0:45:23.880
<v Speaker 2>to know that we've tested this and it's not crossing

0:45:23.960 --> 0:45:26.560
<v Speaker 2>aman barrier. Yeah, a lot of testing.

0:45:26.920 --> 0:45:29.799
<v Speaker 1>I know. I've always known. I ate a boatload of

0:45:29.840 --> 0:45:34.040
<v Speaker 1>it without knowing it, and now I ate it not

0:45:34.200 --> 0:45:38.000
<v Speaker 1>knowing it. But I found out after the fact. So

0:45:38.120 --> 0:45:41.319
<v Speaker 1>now I've two hundred percent No I've eaten infected me. Yeah,

0:45:41.640 --> 0:45:43.560
<v Speaker 1>but I didn't lose the sleep. And in fact, a

0:45:43.560 --> 0:45:45.000
<v Speaker 1>buddy of mine was there too. I think I told

0:45:45.560 --> 0:45:47.600
<v Speaker 1>I don't know if I told you this. I'm at

0:45:47.600 --> 0:45:49.600
<v Speaker 1>my buddy's house. I'm with a buddy of mine. I

0:45:49.640 --> 0:45:52.759
<v Speaker 1>take a buddy mind to another buddy's house. This is

0:45:53.040 --> 0:45:56.120
<v Speaker 1>this is a doctor lawyer couple, and I got a

0:45:56.120 --> 0:45:59.600
<v Speaker 1>buddy of mine. We go there and he, the lawyer

0:45:59.640 --> 0:46:02.759
<v Speaker 1>of the upple says to his doctor wife, not to me,

0:46:02.920 --> 0:46:06.680
<v Speaker 1>but to his doctor wife says, heads up, I haven't

0:46:06.719 --> 0:46:10.000
<v Speaker 1>gotten the results back on this deer, Like he discloses

0:46:10.040 --> 0:46:14.840
<v Speaker 1>to her, she doesn't do anything, she just eats. So

0:46:14.880 --> 0:46:18.759
<v Speaker 1>we're all eating it, eat a pile of it. While

0:46:18.840 --> 0:46:21.320
<v Speaker 1>later he calls me, He's like, man, I got I

0:46:21.440 --> 0:46:23.480
<v Speaker 1>just called you to tell you I got the results

0:46:23.520 --> 0:46:27.920
<v Speaker 1>back and it was you know, it's infected. And so

0:46:28.239 --> 0:46:30.040
<v Speaker 1>I was like, I'm gonna call my buddy now and

0:46:30.080 --> 0:46:33.080
<v Speaker 1>tell my buddy. But I kind of forgot, not kind

0:46:33.080 --> 0:46:36.239
<v Speaker 1>of I forgot forgot. One day. Months go by and

0:46:36.280 --> 0:46:40.840
<v Speaker 1>this dude calls me and no text me, and I

0:46:40.880 --> 0:46:43.280
<v Speaker 1>don't know why it's even on his mind, but he says,

0:46:43.360 --> 0:46:48.319
<v Speaker 1>have you knowingly eaten CWD positive meat? And I said,

0:46:48.360 --> 0:46:50.359
<v Speaker 1>I forgot to tell you. We both have, not only

0:46:50.480 --> 0:46:54.680
<v Speaker 1>that I have, not only have I And I expected

0:46:54.680 --> 0:46:57.959
<v Speaker 1>my phone to ring, no call. So I was like, Okay,

0:46:57.960 --> 0:46:59.920
<v Speaker 1>he's not alarmed. He's not alarmed.

0:47:00.960 --> 0:47:03.319
<v Speaker 2>Yeah, I think I think it has I mean as

0:47:03.360 --> 0:47:05.520
<v Speaker 2>an individual choice, obviously, but it might have a lot

0:47:05.560 --> 0:47:08.000
<v Speaker 2>to do with how much venison you have in a freezer.

0:47:08.040 --> 0:47:10.279
<v Speaker 2>And I go to Texas and if kill three or

0:47:10.320 --> 0:47:12.759
<v Speaker 2>four deer just as a shopping trip to fill the

0:47:12.760 --> 0:47:14.600
<v Speaker 2>freezer full of venison. It's a little harder to get

0:47:14.600 --> 0:47:18.560
<v Speaker 2>a deer in Arizona, and there has been some CDBD

0:47:18.680 --> 0:47:21.960
<v Speaker 2>positive cases near where we harvests and we haven't been

0:47:21.960 --> 0:47:25.160
<v Speaker 2>getting them tested. Maybe that tells you something. I haven't

0:47:25.160 --> 0:47:28.520
<v Speaker 2>getting them tested at all. Now it's different too.

0:47:28.600 --> 0:47:28.919
<v Speaker 1>I think.

0:47:28.960 --> 0:47:31.080
<v Speaker 2>One thing that worries me is when you look at kurru,

0:47:31.400 --> 0:47:34.560
<v Speaker 2>which is another form of this kind of disease TSC

0:47:34.640 --> 0:47:39.520
<v Speaker 2>disease like scrapie and sheep CWD and deer crusei, yakubs

0:47:39.520 --> 0:47:42.400
<v Speaker 2>and humans. There's another human form called Kuu that was

0:47:42.440 --> 0:47:43.880
<v Speaker 2>found in some tribes.

0:47:43.640 --> 0:47:44.960
<v Speaker 1>In Pampa, New Guinea.

0:47:44.960 --> 0:47:47.640
<v Speaker 2>They're eating the brains of their elders as a cultural thing,

0:47:48.040 --> 0:47:50.719
<v Speaker 2>and they were getting these infectious prions because they were

0:47:50.719 --> 0:47:55.560
<v Speaker 2>eating brains. They were infecting themselves with this cannibal cannibalism action.

0:47:55.680 --> 0:47:58.680
<v Speaker 2>And so some of the anthropologists then figure that out

0:47:58.680 --> 0:48:00.960
<v Speaker 2>and a disease expert they got to stop doing that,

0:48:01.719 --> 0:48:05.440
<v Speaker 2>and then kuru went away. But if you read the

0:48:05.440 --> 0:48:09.000
<v Speaker 2>scientific papers, there were kuru cases that were like thirty

0:48:09.040 --> 0:48:14.000
<v Speaker 2>and forty years after the person ate the curu that

0:48:14.560 --> 0:48:17.239
<v Speaker 2>worries me a little bit. So so it's your choice

0:48:17.239 --> 0:48:19.279
<v Speaker 2>whether you want to feed your kids. I mean, I'm

0:48:19.280 --> 0:48:21.239
<v Speaker 2>not too worried about it, but if I had kids

0:48:21.280 --> 0:48:23.800
<v Speaker 2>around the table, that's a that's a different, different equation.

0:48:23.840 --> 0:48:26.360
<v Speaker 1>It's too late for mine. Man. They're brought up on

0:48:26.440 --> 0:48:29.799
<v Speaker 1>deer meat. I mean, last night we ate quite a

0:48:29.800 --> 0:48:33.760
<v Speaker 1>pile of it. Okay, never mind the health human health,

0:48:34.520 --> 0:48:37.160
<v Speaker 1>population level, they were going to move on population level

0:48:37.200 --> 0:48:38.160
<v Speaker 1>impacts on deer.

0:48:38.440 --> 0:48:42.120
<v Speaker 2>Yeah, definitely, they wedocumented all over now they were not

0:48:42.320 --> 0:48:42.800
<v Speaker 2>in question.

0:48:42.960 --> 0:48:46.160
<v Speaker 1>Hasn't been in question for big buck impacts, you think. Yeah.

0:48:46.160 --> 0:48:48.160
<v Speaker 2>One thing that was interesting is one of the studies

0:48:48.200 --> 0:48:53.000
<v Speaker 2>in table Mesa, Colorado, which I should talk about more,

0:48:53.040 --> 0:48:55.160
<v Speaker 2>but one of the results they said in there they

0:48:55.239 --> 0:48:58.759
<v Speaker 2>had they had about forty three percent of the deer

0:48:58.800 --> 0:49:01.560
<v Speaker 2>head CWD, and they were studying them a couple times

0:49:01.600 --> 0:49:06.840
<v Speaker 2>through a couple of decades, and after probably twenty years

0:49:06.840 --> 0:49:10.640
<v Speaker 2>of fairly high prevalence rates like twenty five to forty percent,

0:49:11.239 --> 0:49:14.520
<v Speaker 2>they couldn't in all of the sixty four deer I

0:49:14.520 --> 0:49:17.200
<v Speaker 2>think they captured, they not one of them was over

0:49:17.239 --> 0:49:19.279
<v Speaker 2>five years old. They couldn't find a buck over five

0:49:19.360 --> 0:49:21.359
<v Speaker 2>years old. And I thought they didn't even talk about

0:49:21.360 --> 0:49:23.799
<v Speaker 2>that much. But that's a symptom of what happens when

0:49:23.840 --> 0:49:25.799
<v Speaker 2>an animal doesn't live more than two years after they've

0:49:25.800 --> 0:49:28.799
<v Speaker 2>been infected, and they're getting infected early, you're not going

0:49:28.880 --> 0:49:32.520
<v Speaker 2>to have an older age structure. Saskatchewan's got some game

0:49:32.520 --> 0:49:35.960
<v Speaker 2>management units that are seventy percent positive for seed. And

0:49:35.960 --> 0:49:38.520
<v Speaker 2>when you reach that level and you've got animal dying

0:49:38.560 --> 0:49:42.400
<v Speaker 2>after two years, you have to affect the population.

0:49:42.440 --> 0:49:45.000
<v Speaker 1>There's no way you couldn't. Yeah, got it, got it?

0:49:45.680 --> 0:49:50.920
<v Speaker 1>You know. It gave me a lot of hope if

0:49:50.920 --> 0:49:54.520
<v Speaker 1>that's the right word, This idea that, yeah, that you're

0:49:54.520 --> 0:49:57.640
<v Speaker 1>going to have that animals get infected, they're always going

0:49:57.680 --> 0:49:59.200
<v Speaker 1>to die within a couple of years. The precinct. You

0:49:59.200 --> 0:50:01.439
<v Speaker 1>won't have old bucks. You're not going to have six

0:50:01.480 --> 0:50:04.120
<v Speaker 1>year old bucks, seven year old bucks, but early. We

0:50:04.160 --> 0:50:06.839
<v Speaker 1>mentioned the Hansen buck, yeah, right, and four years old.

0:50:07.239 --> 0:50:08.600
<v Speaker 1>Yeah that was a sketchbomb.

0:50:08.600 --> 0:50:12.399
<v Speaker 2>But four years old, right, and this buck ever killed

0:50:12.440 --> 0:50:14.120
<v Speaker 2>was four Yeah, it's amazing.

0:50:14.920 --> 0:50:15.120
<v Speaker 1>Yeah.

0:50:15.160 --> 0:50:17.600
<v Speaker 2>Another thing about the another study that was done in Colorado,

0:50:17.680 --> 0:50:20.800
<v Speaker 2>the table Masa study area done by a number of

0:50:20.800 --> 0:50:22.440
<v Speaker 2>people in two thousand and five. They went in there

0:50:22.440 --> 0:50:26.120
<v Speaker 2>and they studied prevalence rates of CWD, what percent had CWD.

0:50:26.280 --> 0:50:30.040
<v Speaker 2>They looked at predation rates on the deer population, they

0:50:30.040 --> 0:50:32.600
<v Speaker 2>looked at causes of mortality, how the deer were dying,

0:50:33.000 --> 0:50:35.880
<v Speaker 2>and studied a couple of years, and they said, throughout

0:50:35.920 --> 0:50:39.120
<v Speaker 2>this period CWD was going up and up, and there

0:50:39.200 --> 0:50:42.719
<v Speaker 2>was a heavy predation on meal deer mountain lions on

0:50:42.800 --> 0:50:46.880
<v Speaker 2>meal deer. Not only heavy predation, but almost four CWD

0:50:47.040 --> 0:50:50.839
<v Speaker 2>positive deer were preyed upon for every one healthy deer

0:50:50.880 --> 0:50:54.320
<v Speaker 2>by mountain lions. So there's a differential predation on CWD

0:50:54.800 --> 0:50:58.880
<v Speaker 2>sick animals, a heavy predation overall, and throughout all CWD

0:50:59.040 --> 0:51:00.640
<v Speaker 2>levels kept going up and up and up, and so

0:51:00.680 --> 0:51:03.120
<v Speaker 2>they concluded in two thousand and eight when they published,

0:51:03.120 --> 0:51:07.120
<v Speaker 2>they concluded, even with a heavy predation by mountain lions,

0:51:07.440 --> 0:51:10.160
<v Speaker 2>there's still the mountain lions are not able to control CWD.

0:51:10.920 --> 0:51:13.840
<v Speaker 2>But then thirteen years later, some of those same people

0:51:13.920 --> 0:51:17.440
<v Speaker 2>came back into the same population, collected the same kind

0:51:17.480 --> 0:51:21.400
<v Speaker 2>of information, and they found that after thirteen more years,

0:51:21.920 --> 0:51:24.920
<v Speaker 2>now mountain lions were killing four and a half infected

0:51:24.960 --> 0:51:28.800
<v Speaker 2>deer for every one healthy deer. So still high predation,

0:51:29.360 --> 0:51:35.680
<v Speaker 2>differential predation on CWD positive animals, and the CWD the

0:51:36.920 --> 0:51:40.880
<v Speaker 2>percent that had CWD went from from twenty eight percent

0:51:41.360 --> 0:51:44.960
<v Speaker 2>to from thirty eight percent from to forty two So

0:51:45.040 --> 0:51:49.800
<v Speaker 2>CWD still increased with that heavy predation for thirteen more years.

0:51:50.040 --> 0:51:52.920
<v Speaker 2>But their conclusion in that paper was, we think, among

0:51:53.000 --> 0:51:58.200
<v Speaker 2>other things, predators might be assisting in controlling CWD. And

0:51:58.280 --> 0:52:02.000
<v Speaker 2>so people can cite that paper. But the reason they still.

0:52:01.760 --> 0:52:04.239
<v Speaker 1>Thought maybe it would have been even worse, That's exactly it.

0:52:04.520 --> 0:52:08.439
<v Speaker 1>So that was like with with with lions killing four

0:52:08.440 --> 0:52:11.800
<v Speaker 1>and a half sick deer to every healthy deer CWD,

0:52:13.320 --> 0:52:15.319
<v Speaker 1>but they hold out that, well, maybe it would be

0:52:15.360 --> 0:52:16.000
<v Speaker 1>even worse.

0:52:16.120 --> 0:52:18.759
<v Speaker 2>It would that was their speculation, even worse. So I think,

0:52:18.960 --> 0:52:23.560
<v Speaker 2>you know, an alternate and alternate conclusion would be even

0:52:23.600 --> 0:52:27.000
<v Speaker 2>in that condition, they still weren't able to manage c TOBD.

0:52:27.080 --> 0:52:29.240
<v Speaker 2>It still went up. Now, the people doing that research,

0:52:29.280 --> 0:52:30.839
<v Speaker 2>some of them are friends of mine. They're good, they're

0:52:30.880 --> 0:52:34.040
<v Speaker 2>solid researchers. That was just their conclusion, and you know,

0:52:34.200 --> 0:52:36.600
<v Speaker 2>we don't all agree sometimes when we look at the

0:52:36.640 --> 0:52:40.560
<v Speaker 2>same data, and I'm not willing to take that speculative

0:52:40.600 --> 0:52:43.479
<v Speaker 2>step and say, yeah, they were probably controlling CDBD because

0:52:43.480 --> 0:52:44.600
<v Speaker 2>it probably would have been higher.

0:52:44.960 --> 0:52:50.560
<v Speaker 1>It's too many, probably yeah, let's move on to another one, another,

0:52:50.920 --> 0:52:55.360
<v Speaker 1>another subject. If you follow wildnife, follow wildlife news, wildlife

0:52:55.360 --> 0:53:01.920
<v Speaker 1>politics and conservation news, you know that the Trophy cascade thing. Okay,

0:53:02.000 --> 0:53:07.239
<v Speaker 1>so wolves are returned to to release sites. You got

0:53:07.320 --> 0:53:12.239
<v Speaker 1>Yellowslow National Park, Frank Church ninety seven, ninety six, somewhere there,

0:53:13.640 --> 0:53:18.520
<v Speaker 1>And in a while later outcomes like that they have

0:53:18.920 --> 0:53:24.800
<v Speaker 1>transformed riparian ecosystems, and now like the rivers are returned,

0:53:24.920 --> 0:53:28.880
<v Speaker 1>the beavers are back, there's willows everywhere. You know, it

0:53:29.040 --> 0:53:32.040
<v Speaker 1>was a unbeknownst to us, it was a sick landscape

0:53:32.040 --> 0:53:35.160
<v Speaker 1>that is now healthy, all thanks to hand this handful

0:53:35.160 --> 0:53:39.440
<v Speaker 1>of wolves that are that are running around people doing ted.

0:53:39.520 --> 0:53:42.200
<v Speaker 1>It's the perfect right ted talk thing. It's very inspiring.

0:53:42.920 --> 0:53:47.120
<v Speaker 1>And then over time you see pieces of research coming

0:53:47.160 --> 0:53:50.480
<v Speaker 1>out that sort of have this, well, maybe it's not

0:53:50.840 --> 0:53:56.920
<v Speaker 1>that tidy, maybe that's not quite quite right. The last

0:53:56.960 --> 0:54:02.560
<v Speaker 1>one of these I read was the authors the trophic

0:54:02.640 --> 0:54:06.000
<v Speaker 1>cascade theory relied on some work done by some willows,

0:54:06.000 --> 0:54:09.320
<v Speaker 1>some people doing research on willows, and even the people

0:54:09.600 --> 0:54:12.600
<v Speaker 1>that did the research that is cited in the trophic

0:54:12.640 --> 0:54:15.719
<v Speaker 1>cascade thing part started saying, you kind of got our

0:54:15.840 --> 0:54:20.799
<v Speaker 1>numbers wrong. I'll correct that a little bit, please, that's

0:54:20.800 --> 0:54:21.680
<v Speaker 1>what you're here for. Yep.

0:54:21.880 --> 0:54:25.760
<v Speaker 2>So, first of all, trophic cascades, if people don't understand that, basically,

0:54:25.840 --> 0:54:28.480
<v Speaker 2>a trophic level is like the grass is one trophic level,

0:54:28.840 --> 0:54:31.759
<v Speaker 2>the grass eaters and the herbivores are another trophic level,

0:54:31.760 --> 0:54:33.799
<v Speaker 2>and then the protors are another trophic level. And the

0:54:33.840 --> 0:54:36.720
<v Speaker 2>idea is you can you can take the predators away,

0:54:36.800 --> 0:54:39.480
<v Speaker 2>or you can add predators. And if you add predators,

0:54:39.520 --> 0:54:42.040
<v Speaker 2>there's less grass eaters and so there's more grass. So

0:54:42.080 --> 0:54:45.759
<v Speaker 2>it causes this this cascading effect through these trophic levels.

0:54:45.840 --> 0:54:48.160
<v Speaker 2>That's what trophic cascade is. And so and so we

0:54:48.640 --> 0:54:51.359
<v Speaker 2>brought wolves back in Yellowstone and ninety five ninety six,

0:54:51.440 --> 0:54:53.520
<v Speaker 2>ninety seven wolves were released. I think at total of

0:54:53.640 --> 0:54:58.160
<v Speaker 2>forty one wolves were released, and then just a couple

0:54:58.440 --> 0:54:59.960
<v Speaker 2>just about so ninety seven.

0:55:00.440 --> 0:55:01.080
<v Speaker 1>In ninety eight.

0:55:01.120 --> 0:55:03.360
<v Speaker 2>Already there was a couple of researchers from the Pacific

0:55:03.400 --> 0:55:08.400
<v Speaker 2>Northwest that were in their measuring the tallest aspens in retrospect.

0:55:08.440 --> 0:55:10.759
<v Speaker 2>There's been a lot of scientific paper showing that their

0:55:10.800 --> 0:55:14.600
<v Speaker 2>methodology was biased. They weren't trying to be biased, but

0:55:14.840 --> 0:55:19.000
<v Speaker 2>it just was not randomly distributed sampling. It wasn't very

0:55:19.000 --> 0:55:23.120
<v Speaker 2>good sampling, but regardless, they measured the tallest aspen in

0:55:23.280 --> 0:55:26.080
<v Speaker 2>a bunch of these aspen stands. And this is just

0:55:26.160 --> 0:55:28.479
<v Speaker 2>they started in ninety eight. It was a year after

0:55:28.800 --> 0:55:32.000
<v Speaker 2>the third wave of release. The wolves came in and

0:55:32.040 --> 0:55:34.040
<v Speaker 2>they published in two thousand and one and they said

0:55:34.360 --> 0:55:37.799
<v Speaker 2>in that publication two thousand and one, aspens are recovering

0:55:37.920 --> 0:55:41.360
<v Speaker 2>in the Riparian areas and it's probably we're probably seeing

0:55:41.360 --> 0:55:45.120
<v Speaker 2>the beginning of wolves triggering a trophic cascade.

0:55:45.280 --> 0:55:46.799
<v Speaker 1>So they didn't have any data on that.

0:55:46.800 --> 0:55:48.920
<v Speaker 2>They just measured some palst aspens, which wasn't a very

0:55:48.920 --> 0:55:54.120
<v Speaker 2>good method of measuring aspens anyway, and they made this comment,

0:55:54.800 --> 0:55:57.640
<v Speaker 2>and once again the media picked it up and it

0:55:57.680 --> 0:55:58.960
<v Speaker 2>was a wonderful story.

0:55:59.320 --> 0:56:00.160
<v Speaker 1>Wolves were coming.

0:56:00.239 --> 0:56:03.920
<v Speaker 2>Back, brought walls back to the Yellowstone and now the stream

0:56:03.960 --> 0:56:07.960
<v Speaker 2>side vegetation. The aspens were recovering and doing great, and

0:56:08.320 --> 0:56:11.160
<v Speaker 2>that spread like wildfire for a number of years. And

0:56:11.200 --> 0:56:13.440
<v Speaker 2>then the first paper I saw with Matt Kaufman. Remember

0:56:13.480 --> 0:56:16.480
<v Speaker 2>you had Matt Coffman on the podcast with Monteeth. Matt

0:56:16.520 --> 0:56:20.000
<v Speaker 2>Coffin went and did some research in the two thousands.

0:56:20.000 --> 0:56:23.399
<v Speaker 2>He published in twenty ten with some people, and they said,

0:56:23.440 --> 0:56:28.560
<v Speaker 2>and they did a very good, scientifically robust measuring of

0:56:28.680 --> 0:56:33.000
<v Speaker 2>aspen throughout the park in a more robust way than

0:56:33.200 --> 0:56:34.040
<v Speaker 2>the original.

0:56:34.880 --> 0:56:36.920
<v Speaker 1>Can I wedge in here that just just make the connection.

0:56:37.040 --> 0:56:45.560
<v Speaker 1>The idea was that elk ungulates were over like we're overgrazing,

0:56:46.880 --> 0:56:50.360
<v Speaker 1>and so now that there's more predation on the landscape,

0:56:50.400 --> 0:56:54.040
<v Speaker 1>more animal predation on the landscape, it was giving it

0:56:54.120 --> 0:56:59.480
<v Speaker 1>was giving a break to the vegetation regime from elk grazing. Therefore,

0:56:59.520 --> 0:57:00.760
<v Speaker 1>the it's coming back.

0:57:00.640 --> 0:57:03.439
<v Speaker 2>And recalling, and I need to clarify something I should

0:57:03.480 --> 0:57:05.520
<v Speaker 2>have started with that there's two different kinds of trophic

0:57:05.560 --> 0:57:08.960
<v Speaker 2>cascades that people have talked about in Yellowstone. One is

0:57:09.080 --> 0:57:12.560
<v Speaker 2>the behavior one is the density mediated trophic cascade. And

0:57:12.600 --> 0:57:15.840
<v Speaker 2>that just means there's fewer elk, so there's more vegetation.

0:57:15.920 --> 0:57:19.680
<v Speaker 2>That's just a real simple kind of relationship. And so

0:57:19.720 --> 0:57:22.760
<v Speaker 2>people will say, look, we brought wolves back, there's fewer elk.

0:57:22.760 --> 0:57:26.280
<v Speaker 2>We had nineteen thousand elk and Yellowstone two years before

0:57:26.280 --> 0:57:29.520
<v Speaker 2>the wolves came. They started declining before the wolves were released.

0:57:29.560 --> 0:57:32.200
<v Speaker 2>Actually for two years we had nineteen thousand and eight

0:57:32.360 --> 0:57:33.520
<v Speaker 2>elk two years before the.

0:57:33.440 --> 0:57:37.640
<v Speaker 1>Wolves back the days man and that dropped to a

0:57:37.640 --> 0:57:38.520
<v Speaker 1>low of four thousand.

0:57:38.640 --> 0:57:41.400
<v Speaker 2>So nineteen thousand and four thousand, you're definitely going to

0:57:41.480 --> 0:57:46.080
<v Speaker 2>have more vegetation growing in Yellowstone, so that's the density

0:57:46.160 --> 0:57:49.640
<v Speaker 2>mediated That just means there's fewer elk, so there's more vegetation.

0:57:49.760 --> 0:57:52.040
<v Speaker 2>But the problem is people wanted to give wolves all

0:57:52.080 --> 0:57:54.440
<v Speaker 2>the credit for that. But at the same time, we

0:57:54.480 --> 0:57:56.960
<v Speaker 2>had a little handful of wolves at that time, but

0:57:57.040 --> 0:58:00.960
<v Speaker 2>we have grizzly bear populations increased to the that their

0:58:00.960 --> 0:58:04.320
<v Speaker 2>predation on elk calves was three times what it was

0:58:05.360 --> 0:58:09.120
<v Speaker 2>prior to that earlier increased three times. Mountain lion population

0:58:09.320 --> 0:58:12.920
<v Speaker 2>doubled in Yellowstone. Fires burned thirty six percent of Yellowstone

0:58:13.040 --> 0:58:16.120
<v Speaker 2>in nineteen eighty eight. That had huge effect on the

0:58:16.160 --> 0:58:19.480
<v Speaker 2>ecology of that We had one of the worst droughts

0:58:19.560 --> 0:58:22.200
<v Speaker 2>during that time. Shortly after wolves were released. We had

0:58:22.520 --> 0:58:25.880
<v Speaker 2>one of the most severe winners at that time. And

0:58:25.960 --> 0:58:28.600
<v Speaker 2>then we were hunting cow elk off the park in

0:58:28.720 --> 0:58:32.120
<v Speaker 2>Montana to help try to manage the Yellowstone population, and

0:58:32.200 --> 0:58:36.200
<v Speaker 2>we kept cow elk tags too long and too high,

0:58:36.440 --> 0:58:40.360
<v Speaker 2>and so hunters contributed to the population declined. Because all

0:58:40.440 --> 0:58:43.000
<v Speaker 2>this stuff was happening at once, and the people managing

0:58:43.040 --> 0:58:47.160
<v Speaker 2>the elk tags didn't really at the time, didn't know

0:58:47.240 --> 0:58:49.680
<v Speaker 2>that all this stuff was going to affect the population.

0:58:49.760 --> 0:58:52.200
<v Speaker 1>So you're burst in the bubble of everyone that just

0:58:52.240 --> 0:58:53.440
<v Speaker 1>wants to blame wolves.

0:58:53.280 --> 0:58:55.720
<v Speaker 2>Right, and so you hear, I mean wolves are precipitating

0:58:55.760 --> 0:58:57.040
<v Speaker 2>this Trovi cascade.

0:58:57.080 --> 0:58:58.040
<v Speaker 1>So that's the first one.

0:58:58.080 --> 0:59:01.840
<v Speaker 2>I think we can dismiss that wolves did not cause

0:59:01.960 --> 0:59:05.200
<v Speaker 2>that decline of nineteen thousand to three thousand. All those

0:59:05.240 --> 0:59:08.680
<v Speaker 2>factors did, so we can't give wolves credit for trophic

0:59:08.720 --> 0:59:13.280
<v Speaker 2>cascades because of density reductions in elk. So then they

0:59:13.360 --> 0:59:18.800
<v Speaker 2>very quickly switched to the behaviorally mediated trophic cascade, which

0:59:18.840 --> 0:59:22.320
<v Speaker 2>means that elk liked to hang out along the streams,

0:59:22.600 --> 0:59:24.680
<v Speaker 2>and wolves were hunting along the streams and they were

0:59:24.680 --> 0:59:27.800
<v Speaker 2>scaring the elk out away from the streams, and so

0:59:27.920 --> 0:59:30.960
<v Speaker 2>that stream side vegetation could respond because the elk were

0:59:31.000 --> 0:59:33.200
<v Speaker 2>scaring them out of there. They call that the landscape

0:59:33.200 --> 0:59:36.760
<v Speaker 2>of fear. But that first study that kind of talked

0:59:36.800 --> 0:59:39.520
<v Speaker 2>about that, which was actually part of the two thousand

0:59:39.520 --> 0:59:42.840
<v Speaker 2>and one study. First study that talked about that didn't

0:59:42.880 --> 0:59:45.720
<v Speaker 2>mention the fact other researchers have later that you know,

0:59:45.760 --> 0:59:48.480
<v Speaker 2>if you're comparing aspen that grow along the stream and

0:59:48.600 --> 0:59:51.120
<v Speaker 2>aspen that grow in the dryer uplands, the aspen along

0:59:51.120 --> 0:59:52.600
<v Speaker 2>the stream, we're going to grow a lot more than

0:59:52.600 --> 0:59:53.120
<v Speaker 2>the uplands.

0:59:53.120 --> 0:59:53.920
<v Speaker 1>And that wasn't ever.

0:59:53.840 --> 0:59:57.200
<v Speaker 2>Mentioned in the original discussion of that, but other people

0:59:57.360 --> 0:59:59.360
<v Speaker 2>like Kaufman came by later.

0:59:59.160 --> 0:59:59.760
<v Speaker 1>In twenty ten.

1:00:00.200 --> 1:00:02.320
<v Speaker 2>Not only did he measure the aspen in a more

1:00:02.800 --> 1:00:07.560
<v Speaker 2>randomly and more scientifically robust way throughout the park, but

1:00:07.680 --> 1:00:10.680
<v Speaker 2>he took the last ten years of locations of where

1:00:10.680 --> 1:00:13.520
<v Speaker 2>a wolf killed in Elk and took all those spots

1:00:13.800 --> 1:00:17.400
<v Speaker 2>and he mapped the landscape of fear. He mapped for

1:00:17.480 --> 1:00:19.640
<v Speaker 2>the first time because people talking about the landscape of

1:00:19.680 --> 1:00:22.720
<v Speaker 2>fear were using other metrics that weren't very direct, but

1:00:22.920 --> 1:00:28.160
<v Speaker 2>Kaufman map kill locations and then related that too close

1:00:28.200 --> 1:00:30.840
<v Speaker 2>to stream, not close to stream other effects and actually

1:00:30.840 --> 1:00:33.440
<v Speaker 2>had a map of very risky places for wolves to

1:00:33.480 --> 1:00:36.320
<v Speaker 2>be and not risky waste places world for l to

1:00:36.440 --> 1:00:38.840
<v Speaker 2>be for Elk to be right because of wolf predation,

1:00:39.320 --> 1:00:42.720
<v Speaker 2>and and there was when they did the analysis of

1:00:43.120 --> 1:00:46.160
<v Speaker 2>high risk areas and low risk areas for Elk to

1:00:46.160 --> 1:00:49.160
<v Speaker 2>be preyed on by wolves. They found no difference in

1:00:49.240 --> 1:00:53.440
<v Speaker 2>aspen regeneration in riskier areas versus areas that weren't risky,

1:00:53.720 --> 1:00:55.720
<v Speaker 2>and so he published that paper in twenty ten. That

1:00:55.760 --> 1:00:57.840
<v Speaker 2>was the first one I saw that said, hold the boat.

1:00:58.320 --> 1:01:01.560
<v Speaker 2>You know aspen the title aspens are not recovering in

1:01:01.640 --> 1:01:04.040
<v Speaker 2>Yellowstone because they weren't. And at the time there was

1:01:04.080 --> 1:01:07.760
<v Speaker 2>a sixty percent reduction in the Yellowstone elk population and

1:01:07.840 --> 1:01:11.400
<v Speaker 2>still there was no evidence of aspens recovering. And so

1:01:11.520 --> 1:01:13.680
<v Speaker 2>that really that was the first one I saw, and

1:01:13.720 --> 1:01:14.200
<v Speaker 2>I think it.

1:01:14.120 --> 1:01:16.720
<v Speaker 1>Is, yeah, but that wasn't the trophic cast. The trophic

1:01:16.800 --> 1:01:18.880
<v Speaker 1>cascade Heyday came after that.

1:01:19.120 --> 1:01:22.760
<v Speaker 2>Yes, and the trophic Cascate Heyday were the where everybody

1:01:22.840 --> 1:01:24.920
<v Speaker 2>was talking about it. They were all talking about this

1:01:25.040 --> 1:01:30.560
<v Speaker 2>behaviorally mediated They're all talking about wolves are redistributing elk

1:01:31.400 --> 1:01:34.240
<v Speaker 2>away from some of these areas, and then those those

1:01:34.240 --> 1:01:38.160
<v Speaker 2>streamside vegetations recovering. And then another researcher, Thomas Hobbs, came

1:01:38.200 --> 1:01:40.560
<v Speaker 2>in and he focused on willows, not aspen, and he

1:01:40.680 --> 1:01:43.280
<v Speaker 2>measured willows and where they grew and where the wolves were.

1:01:43.680 --> 1:01:46.680
<v Speaker 2>In his conclusion was wolves aspen are recovering. But wolves

1:01:46.680 --> 1:01:50.160
<v Speaker 2>have nothing to do with the willow recovery. The interesting

1:01:50.160 --> 1:01:53.520
<v Speaker 2>thing is you hear there's a the YouTube video that's

1:01:53.560 --> 1:01:56.680
<v Speaker 2>got forty four million views now about how wolves are

1:01:56.680 --> 1:01:59.520
<v Speaker 2>restoring the Yellowstone ecosystem and changing the course of rivers,

1:01:59.760 --> 1:02:03.000
<v Speaker 2>changed the hydrology, and bringing the beavers back was one

1:02:03.000 --> 1:02:06.800
<v Speaker 2>of the things that was peak trophic. Yes, that, but

1:02:06.960 --> 1:02:09.960
<v Speaker 2>the biologists brought the beavers back, not the wolves. Biologists

1:02:10.080 --> 1:02:12.880
<v Speaker 2>released beavers in seven drainages in the Gallaxon National Force

1:02:12.960 --> 1:02:15.400
<v Speaker 2>right on the edge of Yellowstone, about one hundred and

1:02:15.400 --> 1:02:18.960
<v Speaker 2>thirty beavers, and those beavers then dammed up the tributaries.

1:02:19.040 --> 1:02:23.360
<v Speaker 2>Changes the hydrology made habitat for willows to now return.

1:02:23.640 --> 1:02:26.360
<v Speaker 2>So beavers probably should get more credit than wolves for

1:02:26.440 --> 1:02:30.480
<v Speaker 2>trophic cascades in Yellowstone because of their changes in hydrology.

1:02:30.480 --> 1:02:33.960
<v Speaker 2>But beavers don't have the big public relations campaign that

1:02:34.400 --> 1:02:34.880
<v Speaker 2>wolves do.

1:02:35.840 --> 1:02:38.240
<v Speaker 1>Another funny thing that I made the same point earlier,

1:02:41.760 --> 1:02:44.560
<v Speaker 1>This is about public perception. This is a common about

1:02:44.600 --> 1:02:49.080
<v Speaker 1>public perception about media, and not a comment about wildlife.

1:02:49.080 --> 1:02:53.800
<v Speaker 1>But the people that were so happy it's cynical to

1:02:53.840 --> 1:02:56.360
<v Speaker 1>point this out, but the people that were suddenly so

1:02:56.600 --> 1:03:02.320
<v Speaker 1>happy about willow regeneration. If you studied the media, I

1:03:02.320 --> 1:03:05.960
<v Speaker 1>would ask you, can you go find me situations in

1:03:06.040 --> 1:03:11.840
<v Speaker 1>the past where they were expressing their concern about willow

1:03:11.920 --> 1:03:14.840
<v Speaker 1>regeneration and can you show me where that they were

1:03:14.880 --> 1:03:15.560
<v Speaker 1>aware of.

1:03:15.480 --> 1:03:18.760
<v Speaker 2>This or beaver's you know, they weren't concerned about beaver

1:03:18.800 --> 1:03:19.880
<v Speaker 2>as not being on the landscape.

1:03:19.960 --> 1:03:25.080
<v Speaker 1>Yeah. So it's like it's it drives They're going through life.

1:03:25.160 --> 1:03:27.760
<v Speaker 1>They're not aware that there's an aspen issue. They're not

1:03:27.800 --> 1:03:30.040
<v Speaker 1>aware that there's a willow issue. They don't care that

1:03:30.080 --> 1:03:32.280
<v Speaker 1>there's an aspen issue. They don't care that there's a

1:03:32.320 --> 1:03:36.000
<v Speaker 1>willow issue. They've never heard the word riparian, but sudden

1:03:36.040 --> 1:03:39.280
<v Speaker 1>they hear that wolves have made it better. Therefore, I

1:03:39.400 --> 1:03:41.920
<v Speaker 1>now believe that it was a problem. But it was

1:03:42.560 --> 1:03:45.320
<v Speaker 1>the discovery day for them. Yep. Yeah.

1:03:45.360 --> 1:03:48.440
<v Speaker 2>And it's interesting that the first two people that published

1:03:48.480 --> 1:03:50.760
<v Speaker 2>that paper in two thousand and one, they've been on

1:03:50.800 --> 1:03:54.880
<v Speaker 2>a campaign to convince everyone that wolves have been the

1:03:55.000 --> 1:03:58.240
<v Speaker 2>drivers or the triggers of a major trophic cascade. Just

1:03:58.480 --> 1:04:01.680
<v Speaker 2>they've published a paper almost every year in the last

1:04:01.720 --> 1:04:06.720
<v Speaker 2>twenty five years talking about wolves initiating a trophic cascade.

1:04:06.720 --> 1:04:10.600
<v Speaker 2>And they're unrelenting even with all of this mounting body

1:04:10.600 --> 1:04:13.560
<v Speaker 2>of scientific evidence that shows that that's really not true,

1:04:13.600 --> 1:04:18.040
<v Speaker 2>that the story is not like that at all, And because.

1:04:17.760 --> 1:04:20.680
<v Speaker 1>It doesn't suffice, it somehow doesn't suffice just to be

1:04:20.800 --> 1:04:24.680
<v Speaker 1>like they're cool to have around, right, it's cool to

1:04:24.720 --> 1:04:26.640
<v Speaker 1>see them, they're cool to have around. They're like, I

1:04:26.680 --> 1:04:27.520
<v Speaker 1>need something more.

1:04:27.680 --> 1:04:30.280
<v Speaker 2>We have to just the of my landscape, and we

1:04:30.320 --> 1:04:32.720
<v Speaker 2>don't need to justify large prayers on the landscape.

1:04:32.760 --> 1:04:34.240
<v Speaker 1>They were part of the native fauna.

1:04:34.280 --> 1:04:38.680
<v Speaker 2>We recovered almost all of the native other animals, and

1:04:38.960 --> 1:04:41.280
<v Speaker 2>we've got a couple more, and they happen to be carnivores.

1:04:41.880 --> 1:04:45.800
<v Speaker 1>To finish up, Yeah, I think it's like the best

1:04:45.840 --> 1:04:47.400
<v Speaker 1>word I can think of it. I don't mean to

1:04:47.400 --> 1:04:49.720
<v Speaker 1>give it like a religious aspect, but the best word

1:04:49.760 --> 1:04:51.040
<v Speaker 1>I can think of it is I think of it

1:04:51.120 --> 1:04:53.520
<v Speaker 1>like it's a sin. I think it's immoral or whatever

1:04:53.920 --> 1:05:00.800
<v Speaker 1>to eliminate, to intentionally eliminate native wildlife. I think of

1:05:00.880 --> 1:05:04.440
<v Speaker 1>as like a sin against God and man. You know,

1:05:04.880 --> 1:05:07.480
<v Speaker 1>it's like I don't think it's right. Yeah, that's what

1:05:07.960 --> 1:05:12.520
<v Speaker 1>I think. It's. It's human. It's it's hubris, you know,

1:05:12.760 --> 1:05:14.920
<v Speaker 1>to be like, oh, there's this thing that's lived here,

1:05:14.920 --> 1:05:17.560
<v Speaker 1>it's always lived here. But I'm deciding that I that

1:05:17.640 --> 1:05:20.040
<v Speaker 1>it didn't needs to go away. I was like, we

1:05:20.120 --> 1:05:22.000
<v Speaker 1>can't be making that decision. Yeah.

1:05:22.080 --> 1:05:25.200
<v Speaker 2>David meach El David Meaches is the leading wolf guy

1:05:25.480 --> 1:05:28.560
<v Speaker 2>really in the world. He's been researching wolves for more

1:05:28.600 --> 1:05:32.040
<v Speaker 2>than six decades, researching wolves for more than six decades,

1:05:32.400 --> 1:05:35.520
<v Speaker 2>and he came and taught, uh gave a talk at

1:05:35.520 --> 1:05:36.440
<v Speaker 2>the University Arizona.

1:05:36.440 --> 1:05:38.080
<v Speaker 1>One time. I picked him up the airport.

1:05:38.360 --> 1:05:40.960
<v Speaker 2>We were at breakfast and he he said something to me,

1:05:41.000 --> 1:05:42.600
<v Speaker 2>and he said it later in his talk. He said

1:05:42.640 --> 1:05:45.280
<v Speaker 2>that the people that think returning this is the like

1:05:45.320 --> 1:05:48.000
<v Speaker 2>the largest wolf avocate, well maybe not a wolf fabricate,

1:05:48.200 --> 1:05:51.360
<v Speaker 2>largest wolf scientist in the world. He says people think

1:05:51.400 --> 1:05:55.959
<v Speaker 2>that returning wolves to Yellowstone created the situation, but brought

1:05:56.000 --> 1:05:58.680
<v Speaker 2>back the birds and the bees and the butterflies.

1:05:59.000 --> 1:06:01.240
<v Speaker 1>He said that's more really religion that it is science.

1:06:01.760 --> 1:06:03.880
<v Speaker 2>But he is quick to add that those people that

1:06:03.920 --> 1:06:06.200
<v Speaker 2>say that bringing wolves back is going to decimate all

1:06:06.240 --> 1:06:08.840
<v Speaker 2>of our big game herds in the state, he said,

1:06:08.840 --> 1:06:11.480
<v Speaker 2>that's more religion than it is science. The truth is

1:06:11.560 --> 1:06:13.920
<v Speaker 2>really in the middle. They're not going to be destructive

1:06:14.160 --> 1:06:17.160
<v Speaker 2>and they're not saints. And he wrote another paper that said,

1:06:18.040 --> 1:06:21.120
<v Speaker 2>and you've probably heard this before, but that wolves are

1:06:21.120 --> 1:06:24.200
<v Speaker 2>neither saints nor sinners except to people who make them.

1:06:24.240 --> 1:06:26.760
<v Speaker 2>So people want to make them out to be saints

1:06:26.760 --> 1:06:27.520
<v Speaker 2>and sinners and they're not.

1:06:28.440 --> 1:06:36.640
<v Speaker 1>Yeah, they within that they have an impact. Uh huh,

1:06:36.800 --> 1:06:37.560
<v Speaker 1>they have an impact.

1:06:37.600 --> 1:06:40.320
<v Speaker 2>They sure and certainly and locally they can have an impact,

1:06:40.320 --> 1:06:42.000
<v Speaker 2>and we can manage that. We should be able to

1:06:42.040 --> 1:06:46.400
<v Speaker 2>manage that impact. But the two that have been publishing

1:06:46.440 --> 1:06:49.800
<v Speaker 2>trophic cascade papers almost every year, I think they have

1:06:49.840 --> 1:06:54.760
<v Speaker 2>twenty five papers I've read since that two thousand and one.

1:06:54.920 --> 1:06:57.840
<v Speaker 2>They just published one last year and in the abstract

1:06:57.960 --> 1:07:03.520
<v Speaker 2>it says that wolves trigger the strongest trop trophic cascade

1:07:03.880 --> 1:07:06.720
<v Speaker 2>in the world. This is just last year. They're still

1:07:06.760 --> 1:07:09.360
<v Speaker 2>saying this. And that was followed by a rebuttal this

1:07:09.480 --> 1:07:12.800
<v Speaker 2>year by some Yellowstone researchers people are making their living

1:07:13.040 --> 1:07:16.320
<v Speaker 2>researching the Yellowstone ecosystem. And it was a rebuttal and

1:07:16.360 --> 1:07:23.240
<v Speaker 2>the title of the rebuttal was flawed analysis invalidates the

1:07:23.280 --> 1:07:26.240
<v Speaker 2>idea of a strong trophic cascade in Yellowstone. I mean,

1:07:26.320 --> 1:07:29.480
<v Speaker 2>if he a heavy hitting title, that's like, that's as

1:07:29.520 --> 1:07:32.400
<v Speaker 2>clear as you can possibly make it. And I think

1:07:32.480 --> 1:07:35.760
<v Speaker 2>you in an email once said, let's talk about this

1:07:35.960 --> 1:07:40.720
<v Speaker 2>latest um. There's some kind of news article that said

1:07:40.720 --> 1:07:44.960
<v Speaker 2>that the trophic cascade stuff doesn't have scientific support. But

1:07:45.080 --> 1:07:47.880
<v Speaker 2>this has been happening since Kaufman wrote that paper in

1:07:47.920 --> 1:07:50.720
<v Speaker 2>twenty ten. I mean, this is sixteen years people have

1:07:50.800 --> 1:07:53.920
<v Speaker 2>been saying things aren't happening, Like the media is telling

1:07:53.960 --> 1:07:57.720
<v Speaker 2>you it's happening, and they're using good, solid science, but

1:07:58.200 --> 1:08:01.080
<v Speaker 2>nobody wants to hear that story. I mean, the original

1:08:01.120 --> 1:08:03.560
<v Speaker 2>story is so beautiful. I know it's not true, and

1:08:03.560 --> 1:08:05.800
<v Speaker 2>it makes me feel warm and fuzzy, and so there's

1:08:05.840 --> 1:08:08.840
<v Speaker 2>just no getting rid of that. I constantly see on

1:08:08.880 --> 1:08:13.080
<v Speaker 2>social media how wolves have changed the ecosystem in Yellowstone,

1:08:13.360 --> 1:08:15.400
<v Speaker 2>and then once in a while someone publishes a paper

1:08:15.440 --> 1:08:17.519
<v Speaker 2>that says, you know, a lot of that's not true,

1:08:17.640 --> 1:08:21.240
<v Speaker 2>that the science just doesn't support that. And I've been

1:08:21.280 --> 1:08:24.360
<v Speaker 2>seeing that for fifteen years, but nobody people are still

1:08:24.400 --> 1:08:27.280
<v Speaker 2>telling the original story. No, there's no getting out in

1:08:27.280 --> 1:08:29.160
<v Speaker 2>front of that. It's too late. It's like a freight

1:08:29.200 --> 1:08:30.439
<v Speaker 2>train that left.

1:08:31.040 --> 1:08:35.479
<v Speaker 1>As a writer who like as a writer that deals

1:08:35.479 --> 1:08:38.799
<v Speaker 1>in history and wildlifeishues and other things I will sometimes

1:08:38.840 --> 1:08:42.479
<v Speaker 1>hear a thing. Oh, hear a thing, and I'll get

1:08:42.520 --> 1:08:45.840
<v Speaker 1>really excited because it's going to be great for the

1:08:45.840 --> 1:08:48.600
<v Speaker 1>thing I'm writing. Yeah yeah, okay, and I'm like, that

1:08:48.760 --> 1:08:52.000
<v Speaker 1>is great. But then when I look into it and

1:08:52.040 --> 1:08:56.000
<v Speaker 1>I learned that it's not true, I feel a disappointment.

1:08:56.040 --> 1:08:56.200
<v Speaker 1>I do.

1:08:56.320 --> 1:08:58.439
<v Speaker 2>Yeah, I've been there before too, Like this is really

1:08:58.439 --> 1:08:59.519
<v Speaker 2>going to support what I'm writing.

1:09:00.320 --> 1:09:03.880
<v Speaker 1>You're like, really, that's a lie or that's like you know,

1:09:03.960 --> 1:09:06.080
<v Speaker 1>this thing that everyone knows is now I know is

1:09:06.120 --> 1:09:10.600
<v Speaker 1>not true. And I'm disappointed, okay, because I wanted the

1:09:10.720 --> 1:09:13.960
<v Speaker 1>truth to be other than it was. I will say

1:09:14.000 --> 1:09:19.000
<v Speaker 1>to wildlife researchers, which I have many friends that do that,

1:09:19.000 --> 1:09:20.640
<v Speaker 1>that they're in that line of work, and they'll be

1:09:20.640 --> 1:09:22.760
<v Speaker 1>talking about something they're doing, and I'll say, what do

1:09:22.800 --> 1:09:25.759
<v Speaker 1>you hope happens? Yeah? Right, And they're like, I can't

1:09:25.800 --> 1:09:27.559
<v Speaker 1>do that. What do you mean what do I hope happens?

1:09:27.920 --> 1:09:31.479
<v Speaker 1>Except but I'm like, because you're a human being, there's

1:09:31.560 --> 1:09:33.559
<v Speaker 1>got to be like, let's just be honest, there's got

1:09:33.600 --> 1:09:38.799
<v Speaker 1>to be some thing. I'm not saying. You'd ben the truth, right,

1:09:39.040 --> 1:09:42.360
<v Speaker 1>you're a person of integrity, but in your head there's

1:09:42.360 --> 1:09:46.400
<v Speaker 1>got to be I hope that this something happens. That

1:09:46.479 --> 1:09:50.200
<v Speaker 1>would be like of note, right, because you're you're only human.

1:09:50.920 --> 1:09:53.479
<v Speaker 1>And so the question I would ask is, if you

1:09:53.520 --> 1:09:56.080
<v Speaker 1>look at the people that started from year one trophic

1:09:56.080 --> 1:09:59.519
<v Speaker 1>cascades trophic cascades, would they have had it in them?

1:10:00.120 --> 1:10:03.280
<v Speaker 1>Would they have had in them to publish a piece

1:10:03.320 --> 1:10:06.040
<v Speaker 1>that said turns out there isn't one.

1:10:06.240 --> 1:10:08.640
<v Speaker 2>A lot of scientists do that, and that's just a

1:10:08.680 --> 1:10:11.479
<v Speaker 2>matter of being a good scientist, because you're right, every

1:10:11.520 --> 1:10:15.760
<v Speaker 2>single scientist has bias, has things that they would love

1:10:15.840 --> 1:10:18.400
<v Speaker 2>if the results were this, because that would be that

1:10:18.439 --> 1:10:20.479
<v Speaker 2>would be great, especially if it's going to make big news.

1:10:20.520 --> 1:10:22.880
<v Speaker 2>I mean, that's how people get tenure and that's how

1:10:22.880 --> 1:10:25.519
<v Speaker 2>they get promotions in the university setting, is to make

1:10:25.560 --> 1:10:27.320
<v Speaker 2>a lot of big splashes in the news. And that's

1:10:27.360 --> 1:10:30.640
<v Speaker 2>what drives a lot of people in academia unfortunately. But

1:10:30.720 --> 1:10:33.920
<v Speaker 2>everybody has a bias, but a good scientist curbs that

1:10:34.400 --> 1:10:38.040
<v Speaker 2>and packs it away and just lets the results speak

1:10:38.040 --> 1:10:40.760
<v Speaker 2>for themselves. And in scientific papers a lot of times

1:10:40.840 --> 1:10:43.559
<v Speaker 2>you'll see here's our study area, here's our methods, here's

1:10:43.600 --> 1:10:46.840
<v Speaker 2>our results, and then we get to the last discussion section,

1:10:47.400 --> 1:10:50.720
<v Speaker 2>there's some leeway to discuss what you think the results mean.

1:10:50.920 --> 1:10:53.599
<v Speaker 2>So the results are the results, but the discussion section

1:10:53.680 --> 1:10:56.439
<v Speaker 2>there's a lot of leeway for researchers to weave their

1:10:56.439 --> 1:11:00.479
<v Speaker 2>personal biases in and interpret the results for you see it.

1:11:00.920 --> 1:11:02.479
<v Speaker 1>That's what you have to be careful of as thease.

1:11:02.720 --> 1:11:05.200
<v Speaker 2>And that's where people peel quotes out of the discussion

1:11:05.240 --> 1:11:08.800
<v Speaker 2>section that are just speculation and attribute it to that

1:11:08.840 --> 1:11:12.439
<v Speaker 2>previewed scientific paper. But it's not something they researched. It's

1:11:12.439 --> 1:11:15.160
<v Speaker 2>not something in the results, not something they found. It's

1:11:15.160 --> 1:11:19.080
<v Speaker 2>something they think, which is not really science. Let's jump

1:11:19.080 --> 1:11:20.320
<v Speaker 2>to have Helena's.

1:11:21.320 --> 1:11:26.880
<v Speaker 1>Uh this this is something that some people might be like,

1:11:26.880 --> 1:11:29.320
<v Speaker 1>why why does this matter? But it matters exactly. It

1:11:29.360 --> 1:11:32.840
<v Speaker 1>matters to me. Everyone knows like you have Boone and

1:11:32.880 --> 1:11:37.960
<v Speaker 1>Crockett record books. Okay, how how was it an oversight?

1:11:38.120 --> 1:11:41.280
<v Speaker 1>How was it you couldn't shoot like you couldn't get

1:11:41.280 --> 1:11:44.400
<v Speaker 1>a record book? Have Alina? Yeah, I found this out

1:11:44.439 --> 1:11:50.320
<v Speaker 1>the hard way many years ago. I got a big

1:11:50.360 --> 1:11:55.520
<v Speaker 1>Have Alena. Okay, I shot a big Have Alena, and

1:11:55.680 --> 1:11:58.559
<v Speaker 1>people were pointing out like, damn, that's a huge Havelna,

1:11:58.920 --> 1:12:01.200
<v Speaker 1>that's a huge Haveleena? And I gone look and I

1:12:01.240 --> 1:12:03.760
<v Speaker 1>had no idea. I had no idea. I'd never entered

1:12:03.760 --> 1:12:06.320
<v Speaker 1>anything before. But I go and look, I'm like, what

1:12:06.720 --> 1:12:09.439
<v Speaker 1>it's not in here? But then I found like Safari

1:12:09.439 --> 1:12:11.640
<v Speaker 1>Club had it, and it was like, and admit to

1:12:11.760 --> 1:12:14.479
<v Speaker 1>hit though whatever the minimums for Safari Club. But I

1:12:14.520 --> 1:12:18.799
<v Speaker 1>was like, how could this noble little, this noble little

1:12:18.840 --> 1:12:22.559
<v Speaker 1>desert creature not being the Boonukracker record books? Good question?

1:12:22.640 --> 1:12:25.760
<v Speaker 2>Arizona has had Arizona record Books since nineteen seventy one

1:12:25.840 --> 1:12:28.120
<v Speaker 2>has had Haveleena in there. But I thought the same

1:12:28.200 --> 1:12:30.840
<v Speaker 2>thing probably twenty years ago. And I'm good friends with

1:12:30.880 --> 1:12:34.240
<v Speaker 2>Buck Buckner, who is the vice president for North American

1:12:34.280 --> 1:12:37.880
<v Speaker 2>Records for Boona Crockett at the time, and I asked

1:12:37.960 --> 1:12:41.280
<v Speaker 2>him why is Havevelena not in there? And he just said, I,

1:12:41.520 --> 1:12:43.320
<v Speaker 2>you know, I don't know this. No one's kind of

1:12:43.320 --> 1:12:47.000
<v Speaker 2>made a run for it, no one's made a proposal

1:12:47.040 --> 1:12:49.280
<v Speaker 2>for it. And I started a file. And I had

1:12:49.320 --> 1:12:51.720
<v Speaker 2>a file Halina Boona Crockett early in my career, and

1:12:52.040 --> 1:12:53.880
<v Speaker 2>I'm going to do this is going to be my project.

1:12:53.960 --> 1:12:55.400
<v Speaker 2>I'm going to get I'm gonna get them in Boona

1:12:55.400 --> 1:12:58.120
<v Speaker 2>Crockett and then had a family and got busy, and

1:12:58.640 --> 1:13:01.280
<v Speaker 2>the file folder went farther and farther back into my file.

1:13:01.360 --> 1:13:03.360
<v Speaker 1>What was in that? Okay, what was it? What were

1:13:03.360 --> 1:13:04.439
<v Speaker 1>you putting in your folder?

1:13:04.920 --> 1:13:07.360
<v Speaker 2>Some of the Arizona like the Arizona records that We've

1:13:07.360 --> 1:13:09.800
<v Speaker 2>got a big data set of Arizona records like to

1:13:09.920 --> 1:13:13.120
<v Speaker 2>help inform what the minimum might be. And then and

1:13:13.160 --> 1:13:16.080
<v Speaker 2>then copies of what the Boone Crockett needs in order

1:13:16.120 --> 1:13:18.479
<v Speaker 2>to establish a new category, and those sorts of things.

1:13:18.479 --> 1:13:21.479
<v Speaker 2>So I'm just starting to have a file and think

1:13:21.520 --> 1:13:23.240
<v Speaker 2>about that, and then I and then I just it

1:13:23.280 --> 1:13:23.960
<v Speaker 2>just got away from me.

1:13:24.040 --> 1:13:24.960
<v Speaker 1>I never got back to it.

1:13:25.160 --> 1:13:28.519
<v Speaker 2>And then Nicole Tapman from New Mexico called me just

1:13:28.560 --> 1:13:30.120
<v Speaker 2>a couple of years ago, and she said, would you

1:13:30.160 --> 1:13:32.519
<v Speaker 2>write a letter of support from your agency?

1:13:32.520 --> 1:13:33.519
<v Speaker 1>That was one thing that was.

1:13:33.479 --> 1:13:36.200
<v Speaker 2>Required to get them a new category, because she said,

1:13:36.200 --> 1:13:37.839
<v Speaker 2>I'd like to see we can get Boon and Crockett

1:13:38.400 --> 1:13:40.679
<v Speaker 2>to accept have Alina and she's on the records committee

1:13:40.680 --> 1:13:43.280
<v Speaker 2>and I'm on the records committee now too, and.

1:13:43.200 --> 1:13:46.200
<v Speaker 1>I said write a letter. I said, I will clear

1:13:46.240 --> 1:13:48.200
<v Speaker 1>my calendar next week. Let's do this.

1:13:48.360 --> 1:13:51.320
<v Speaker 2>Let's and so we got two people from Texas, two

1:13:51.320 --> 1:13:55.400
<v Speaker 2>people from Mexico. Nicole's from New Mexico, and me from Arizona,

1:13:55.720 --> 1:13:58.760
<v Speaker 2>and we put together a proposal that talked about how

1:13:58.800 --> 1:14:02.040
<v Speaker 2>these populations are signed typically managed by these state agencies.

1:14:02.560 --> 1:14:05.280
<v Speaker 2>They have a long history of records in some states

1:14:06.000 --> 1:14:10.080
<v Speaker 2>how popular they were. We've got fifty eight thousand havelina

1:14:10.160 --> 1:14:14.040
<v Speaker 2>hunters every year in Arizona, New Mexico, and Texas harvesting

1:14:14.040 --> 1:14:17.799
<v Speaker 2>thirty three thousand havelina. This is a significant big game animal.

1:14:17.840 --> 1:14:20.840
<v Speaker 2>I mean, some people in Boonda Crockett initially said, is

1:14:20.840 --> 1:14:22.200
<v Speaker 2>that even a big game animal.

1:14:23.240 --> 1:14:25.240
<v Speaker 1>It's a big game animal. It's got hooves.

1:14:25.320 --> 1:14:28.280
<v Speaker 2>What other hooved big game animal do you mount with

1:14:28.320 --> 1:14:30.960
<v Speaker 2>this mouth open and this big, ferocious roar. I mean,

1:14:30.960 --> 1:14:34.280
<v Speaker 2>they're cool, they're cool animals, and they're really popular in

1:14:34.320 --> 1:14:37.000
<v Speaker 2>the Southwest. They're really popular for non residents to come down.

1:14:37.200 --> 1:14:39.720
<v Speaker 2>So we put together this really robust proposal.

1:14:39.800 --> 1:14:41.800
<v Speaker 1>You can call them in. I mean I could name so,

1:14:41.840 --> 1:14:43.479
<v Speaker 1>I can name reasons all day long.

1:14:44.439 --> 1:14:48.439
<v Speaker 2>They're they're cool, and they're they're not invasive like Farrell hogs.

1:14:48.439 --> 1:14:51.360
<v Speaker 2>They had two young a year, once a year, not

1:14:51.520 --> 1:14:54.120
<v Speaker 2>like Farrell hogs, or they have a litter of ten.

1:14:54.240 --> 1:14:56.320
<v Speaker 2>Twice a year they'll have a litter of eight and

1:14:56.479 --> 1:15:00.400
<v Speaker 2>only ten survive. That's a joke among the Faral hogs people.

1:15:01.400 --> 1:15:03.120
<v Speaker 2>So we went to the proposal. We went to a

1:15:03.160 --> 1:15:07.840
<v Speaker 2>records book committee meeting and we said, here's but you

1:15:07.880 --> 1:15:11.920
<v Speaker 2>know where were talking about biases earlier, I'm bias for Helena. Well, yeah,

1:15:11.920 --> 1:15:13.360
<v Speaker 2>but did you have because you've got a couple of

1:15:13.400 --> 1:15:16.000
<v Speaker 2>hogs that you thought, actually, no, that you didn't have

1:15:16.200 --> 1:15:20.240
<v Speaker 2>told thirty years of honey, have Alena and all the

1:15:20.240 --> 1:15:22.479
<v Speaker 2>skulls I've measured that I cleaned. I don't have any

1:15:22.560 --> 1:15:24.800
<v Speaker 2>that make the book, so I don't have that.

1:15:24.920 --> 1:15:26.680
<v Speaker 1>I got a booker. I need to go dig that

1:15:26.680 --> 1:15:28.000
<v Speaker 1>sucker out. Yeah you should.

1:15:28.280 --> 1:15:32.040
<v Speaker 2>And actually, this year, entering in the Buona Crocket is free.

1:15:32.160 --> 1:15:34.719
<v Speaker 2>There's been a benefactor that will cover all entry fees

1:15:34.760 --> 1:15:37.840
<v Speaker 2>for all species until the end of December. So if

1:15:37.880 --> 1:15:39.960
<v Speaker 2>you've got a headline around that you haven't got into

1:15:40.000 --> 1:15:42.679
<v Speaker 2>the books, this is the year to do it because

1:15:42.680 --> 1:15:45.479
<v Speaker 2>it's free for you. You're not injured, no, so you're

1:15:45.520 --> 1:15:47.280
<v Speaker 2>just doing this out of the goodness of love. Have

1:15:47.360 --> 1:15:51.360
<v Speaker 2>Alena and I think especially in Mexico. Our Mexican colleagues

1:15:52.400 --> 1:15:55.360
<v Speaker 2>are really have more at stake of giving the havelina

1:15:55.360 --> 1:15:57.800
<v Speaker 2>a little more respect as a big game animal. I

1:15:57.840 --> 1:16:01.040
<v Speaker 2>think that's a big thing. Sometimes they're not given that

1:16:01.160 --> 1:16:01.919
<v Speaker 2>kind of respect.

1:16:02.040 --> 1:16:04.280
<v Speaker 1>No, I even hear man like people I like, you know,

1:16:04.360 --> 1:16:06.880
<v Speaker 1>people people that I count as friends. Man, I'll hear

1:16:06.920 --> 1:16:09.960
<v Speaker 1>people really denigrate them and like, you know, talk about

1:16:10.000 --> 1:16:12.200
<v Speaker 1>all you know, whatever we shot a couple, left them

1:16:12.280 --> 1:16:14.679
<v Speaker 1>lane or something. I hate that kind of stuff. Yeah, yep.

1:16:15.160 --> 1:16:17.360
<v Speaker 2>So we went to the records committee and we said,

1:16:17.600 --> 1:16:19.599
<v Speaker 2>this was before we did that proposal, and we said,

1:16:20.040 --> 1:16:22.400
<v Speaker 2>we argued our case, why have Alena ought to be part?

1:16:22.400 --> 1:16:26.480
<v Speaker 2>And some people are like, then we got to add alligators,

1:16:26.479 --> 1:16:28.800
<v Speaker 2>and then we got to add but there's reasons why

1:16:28.840 --> 1:16:31.960
<v Speaker 2>some of these other species aren't ready to make the book.

1:16:32.360 --> 1:16:34.560
<v Speaker 1>And so we said, what's the logic there.

1:16:34.840 --> 1:16:36.840
<v Speaker 2>Like, there's some other animals that aren't in the book

1:16:36.920 --> 1:16:39.880
<v Speaker 2>that are still harvested. That was what they were thinking.

1:16:39.840 --> 1:16:42.000
<v Speaker 1>Like what about like you were setting up that you

1:16:42.040 --> 1:16:45.160
<v Speaker 1>were setting up a you were setting up a set

1:16:45.200 --> 1:16:48.080
<v Speaker 1>of parameters that other things would be there, would other

1:16:48.120 --> 1:16:49.280
<v Speaker 1>things would reach.

1:16:49.160 --> 1:16:51.559
<v Speaker 2>Nope, just have Alena just focus on have Alena, but

1:16:51.600 --> 1:16:53.640
<v Speaker 2>some people in Bunda Crockett said, well, if we do

1:16:53.720 --> 1:16:55.519
<v Speaker 2>have Alena, then we're going to get pressured to do

1:16:55.560 --> 1:16:57.120
<v Speaker 2>all these other animals.

1:16:57.160 --> 1:16:59.840
<v Speaker 1>It's going to cascade. But it's not. There's there's not

1:17:00.160 --> 1:17:03.440
<v Speaker 1>the other animals that for inclusion be a trophy cascade.

1:17:04.680 --> 1:17:06.280
<v Speaker 1>Did you get that joke? That is a good one.

1:17:06.320 --> 1:17:07.320
<v Speaker 1>That was a good one.

1:17:08.280 --> 1:17:11.240
<v Speaker 2>So we asked the Records Committee, we're not asking you

1:17:11.240 --> 1:17:13.879
<v Speaker 2>to decide now, but let us come back with a proposal.

1:17:13.960 --> 1:17:16.439
<v Speaker 2>We came back with a proposal. They were pretty impressed.

1:17:16.439 --> 1:17:21.519
<v Speaker 2>The proposal was pretty extensive and covered everything, and they

1:17:22.360 --> 1:17:25.960
<v Speaker 2>had some board meetings they talked about it. They agreed

1:17:26.000 --> 1:17:29.360
<v Speaker 2>to include it, but they didn't have the minimum entry yet.

1:17:29.439 --> 1:17:33.559
<v Speaker 2>But we have over We have hundreds of Havelina skulls

1:17:33.560 --> 1:17:35.400
<v Speaker 2>that have been measured in the state record books and

1:17:35.520 --> 1:17:38.200
<v Speaker 2>sci to use as a baseline for what should the

1:17:38.240 --> 1:17:41.679
<v Speaker 2>minimum be. And so we use those those records. Roy

1:17:41.680 --> 1:17:43.880
<v Speaker 2>Grace from Pope and Young Club did a whole bunch

1:17:43.920 --> 1:17:48.679
<v Speaker 2>of legwork on analyzing that those data, and then Boone

1:17:48.760 --> 1:17:52.240
<v Speaker 2>Crockett Club then made the decision what the minimum would be.

1:17:52.680 --> 1:17:54.760
<v Speaker 2>And the minimum for Boone Crockett for and then Pope

1:17:54.760 --> 1:17:57.320
<v Speaker 2>and Young followed suit right after that. Because there's a

1:17:57.360 --> 1:18:00.000
<v Speaker 2>close relationship between two clubs. So Pope and Young accept

1:18:00.040 --> 1:18:03.559
<v Speaker 2>up to them, which is great because they're perfect for archery.

1:18:03.960 --> 1:18:08.040
<v Speaker 2>And so Pop and Young then decided they approved them, decided.

1:18:07.640 --> 1:18:08.800
<v Speaker 1>On a minimum.

1:18:08.880 --> 1:18:14.479
<v Speaker 2>Pop and Young minimum is thirteen and fourteen sixteenth, and

1:18:14.520 --> 1:18:17.920
<v Speaker 2>then Bunda Crockett minimum is fourteen and five sixteen. And

1:18:17.920 --> 1:18:21.040
<v Speaker 2>it's length and width. It's it's simply just like bears

1:18:20.800 --> 1:18:24.240
<v Speaker 2>and lions. It's length and with no kind of toss,

1:18:24.280 --> 1:18:26.000
<v Speaker 2>no tell me or anything. No, they want to make

1:18:26.040 --> 1:18:28.759
<v Speaker 2>it simple on measures. Already know how to do that measurement.

1:18:28.800 --> 1:18:31.719
<v Speaker 2>They have the equipment. What's minimum again, minimum for buond

1:18:31.760 --> 1:18:33.360
<v Speaker 2>to Crocket. Yeah, you'll have to remember that and go

1:18:33.400 --> 1:18:34.880
<v Speaker 2>back and measure it measure tonight.

1:18:34.960 --> 1:18:35.640
<v Speaker 1>So Hune to.

1:18:35.640 --> 1:18:42.240
<v Speaker 2>Crocket is fourteen and five sixteenths Man fourteen five sixteen.

1:18:42.280 --> 1:18:44.120
<v Speaker 2>I wish my wife is more handy at that.

1:18:44.160 --> 1:18:46.960
<v Speaker 1>Kind of I mean, just what if I called it

1:18:47.040 --> 1:18:47.400
<v Speaker 1>right now and.

1:18:47.400 --> 1:18:50.000
<v Speaker 2>To go measure measure that. Yeah, but it's not going

1:18:50.080 --> 1:18:52.960
<v Speaker 2>to go over use what's called the boss square that

1:18:53.000 --> 1:18:55.880
<v Speaker 2>they use I think for muskox or or I think,

1:18:56.120 --> 1:18:58.519
<v Speaker 2>But it's a square. It's a steel square because the

1:18:58.520 --> 1:19:01.040
<v Speaker 2>back of the Havelina skull has a why. Yeah, so

1:19:01.080 --> 1:19:04.719
<v Speaker 2>you can't it's not measured in the bottom of that Why,

1:19:04.840 --> 1:19:07.600
<v Speaker 2>it's measured absolute total length. So you have to have

1:19:07.680 --> 1:19:10.800
<v Speaker 2>something square across the back and square across the front,

1:19:11.240 --> 1:19:13.519
<v Speaker 2>and then the width is just the zygomatic arches here.

1:19:14.680 --> 1:19:15.160
<v Speaker 1>All right.

1:19:15.880 --> 1:19:19.400
<v Speaker 2>Yeah, I'm pretty excited that that that now gets the

1:19:19.520 --> 1:19:21.600
<v Speaker 2>respect that that it's always deserved.

1:19:21.880 --> 1:19:26.000
<v Speaker 1>That's great. Uh. I was just gonna ask you about

1:19:26.000 --> 1:19:28.000
<v Speaker 1>status of black tailed deer and meal. Let me ask

1:19:28.000 --> 1:19:30.679
<v Speaker 1>you about status of have alnas. Yeah. You don't really

1:19:30.680 --> 1:19:33.960
<v Speaker 1>hear about this ever. Is it just like our Haveleena

1:19:34.000 --> 1:19:39.840
<v Speaker 1>is just sort of always there at the same you

1:19:39.880 --> 1:19:41.880
<v Speaker 1>never hear about that it's a great year, it's a

1:19:41.920 --> 1:19:43.439
<v Speaker 1>bad year, ups and downs.

1:19:43.520 --> 1:19:45.599
<v Speaker 2>Are they just sort of like just they are very

1:19:45.640 --> 1:19:48.280
<v Speaker 2>stable overall and and and part of it is they're

1:19:48.360 --> 1:19:51.559
<v Speaker 2>they're so adapted to their desert. They're eating a lot

1:19:51.600 --> 1:19:54.160
<v Speaker 2>of prickly pear, which not like forbes are coming and

1:19:54.160 --> 1:19:56.280
<v Speaker 2>going and wet here and dry. See, prickly pear is

1:19:56.280 --> 1:19:58.960
<v Speaker 2>always there. They eat a lot of root tubers. So

1:19:59.000 --> 1:20:01.040
<v Speaker 2>some of those plants are more abundant with the rainfall,

1:20:01.040 --> 1:20:03.840
<v Speaker 2>but they're still there. They're pretty drought resistant, little very

1:20:03.960 --> 1:20:07.720
<v Speaker 2>very drought resistant, just kind of chug along. They do

1:20:07.720 --> 1:20:09.920
<v Speaker 2>a pretty good job of chugging along and not having

1:20:09.920 --> 1:20:11.599
<v Speaker 2>these violent swings up and downs.

1:20:11.760 --> 1:20:16.200
<v Speaker 1>Yeah, got it. So with that, let's about black tail

1:20:16.280 --> 1:20:22.880
<v Speaker 1>deer and meal deer. Is there reason to be Let's

1:20:22.920 --> 1:20:25.680
<v Speaker 1>let's start with milder. Is there any reason to be

1:20:25.840 --> 1:20:28.400
<v Speaker 1>not pessimistic about the future of meal deer.

1:20:28.520 --> 1:20:31.040
<v Speaker 2>Yeah, absolutely, I'm I'm not pessimistic at all.

1:20:31.200 --> 1:20:34.360
<v Speaker 1>Really, Yeah, tell me more. I feel like it's like

1:20:34.439 --> 1:20:36.840
<v Speaker 1>always bad, but I hope you feel better by the

1:20:36.920 --> 1:20:37.479
<v Speaker 1>time you leave.

1:20:37.520 --> 1:20:39.880
<v Speaker 2>Then it is always bad news, and some of the

1:20:39.880 --> 1:20:43.760
<v Speaker 2>bad news comes from just a desire to advocate for

1:20:43.840 --> 1:20:46.519
<v Speaker 2>meal there, which I'm one hundred percent on board with.

1:20:46.560 --> 1:20:50.160
<v Speaker 2>There's a lot of stresses affecting meal deer in the West,

1:20:51.160 --> 1:20:54.280
<v Speaker 2>but meal deer. I chair a meal deer Working Group,

1:20:54.320 --> 1:20:56.200
<v Speaker 2>which is for the last twenty years I've been the

1:20:56.240 --> 1:20:59.439
<v Speaker 2>chairman of this group that's sponsored by the Western Association

1:20:59.479 --> 1:21:03.120
<v Speaker 2>of Fish while Agencies. It's twenty four Western wildlife agencies

1:21:03.240 --> 1:21:06.479
<v Speaker 2>in western North America provinces and states, and we have

1:21:06.600 --> 1:21:09.000
<v Speaker 2>one meal deer or black tail deer expert from each

1:21:09.000 --> 1:21:12.080
<v Speaker 2>of those twenty four jurisdictions, and that's the Mealder Working

1:21:12.120 --> 1:21:15.320
<v Speaker 2>Group Committee, So it's the West leading meal deer experts

1:21:15.320 --> 1:21:18.240
<v Speaker 2>And every year we put together for the eleventh year

1:21:18.360 --> 1:21:21.360
<v Speaker 2>now this year Status of milder and black tail deer

1:21:21.439 --> 1:21:25.479
<v Speaker 2>in North America. And you can't just write one paragraph

1:21:25.520 --> 1:21:27.360
<v Speaker 2>about how milder and black tail deer are doing, because

1:21:27.360 --> 1:21:30.040
<v Speaker 2>they're doing differently all over and for different reasons, and

1:21:30.080 --> 1:21:32.880
<v Speaker 2>so we take a page or two for each jurisdiction,

1:21:33.160 --> 1:21:35.879
<v Speaker 2>so you can read about Saskatchewan, you can read about Arizona,

1:21:35.960 --> 1:21:38.880
<v Speaker 2>you can read about Montana written by the meal deer

1:21:38.920 --> 1:21:42.040
<v Speaker 2>expert in that state, and then we do some summary

1:21:42.080 --> 1:21:47.800
<v Speaker 2>stuff at the beginning of that, and that gives you

1:21:47.920 --> 1:21:52.120
<v Speaker 2>a snapshot of how deer populations are doing. And more

1:21:52.160 --> 1:21:55.320
<v Speaker 2>than half of the milder populations are stable or increasing

1:21:55.680 --> 1:21:58.120
<v Speaker 2>right now. Some of the rocky Mountain states had a

1:21:58.160 --> 1:22:01.200
<v Speaker 2>bad winner of twenty twenty three and then they're recovering

1:22:01.200 --> 1:22:04.680
<v Speaker 2>from that. Southwestern states, New Mexico, Arizona are suffering from

1:22:04.760 --> 1:22:08.120
<v Speaker 2>multi year drought. But we had we had to decline

1:22:08.240 --> 1:22:11.720
<v Speaker 2>in the nineteen ninety. It had several declines in meal

1:22:11.800 --> 1:22:14.400
<v Speaker 2>deer through time, and the latest one was in nineteen

1:22:14.479 --> 1:22:17.000
<v Speaker 2>ninety and that's when the Meal Deer Working Group was established.

1:22:18.280 --> 1:22:22.920
<v Speaker 2>Decline Holistic West Wide Decline. Yeah, and that's happened a

1:22:22.960 --> 1:22:25.680
<v Speaker 2>couple times. And when you when you look at it

1:22:25.720 --> 1:22:28.760
<v Speaker 2>in retrospect, when it happened in the nineties, we were like,

1:22:28.840 --> 1:22:33.120
<v Speaker 2>what's happening in meal deer? Something is affecting meal there everywhere.

1:22:33.160 --> 1:22:34.640
<v Speaker 2>That's what it seemed like, because it seemed to be

1:22:34.720 --> 1:22:37.799
<v Speaker 2>declining everywhere. When you look back now at the history,

1:22:38.080 --> 1:22:41.640
<v Speaker 2>it's obvious that when you have really wet years in

1:22:41.720 --> 1:22:44.360
<v Speaker 2>the desert Southwest, that means a lot of rain, a

1:22:44.360 --> 1:22:47.360
<v Speaker 2>lot of forbes in the winter really nutritious, and deer

1:22:47.400 --> 1:22:50.320
<v Speaker 2>do really well. Reproduction rates go up. But that same

1:22:50.439 --> 1:22:53.960
<v Speaker 2>wet winter in the Rocky Mountains might be heavy snowpack

1:22:54.400 --> 1:22:56.720
<v Speaker 2>and a harsh winter in the Rocky Mountains. So the

1:22:56.720 --> 1:23:00.080
<v Speaker 2>same kind of wet year can make deer population in

1:23:00.120 --> 1:23:03.160
<v Speaker 2>the Rocky Mountain states decline and increase in the Southwest.

1:23:03.360 --> 1:23:08.120
<v Speaker 1>That's interesting that that same weather pattern can do something.

1:23:08.160 --> 1:23:10.280
<v Speaker 1>This is a good one place and bad out of place.

1:23:10.439 --> 1:23:13.080
<v Speaker 2>So you have these different things happening in different regions

1:23:13.080 --> 1:23:16.160
<v Speaker 2>of good their range all the time, and then periodically

1:23:16.200 --> 1:23:19.640
<v Speaker 2>every couple decades they synchronize. Just by chance, really, they

1:23:19.760 --> 1:23:22.360
<v Speaker 2>synchronize where you might have a harsh winter and you've

1:23:22.360 --> 1:23:25.800
<v Speaker 2>also have a drought in the southwest and deer population decline,

1:23:25.920 --> 1:23:28.160
<v Speaker 2>and so looking back, it looks like just once in

1:23:28.160 --> 1:23:31.920
<v Speaker 2>a while, all those regional differences synchronize, and everybody says,

1:23:31.960 --> 1:23:34.599
<v Speaker 2>oh my god, there's a deer decline in the West,

1:23:35.000 --> 1:23:38.680
<v Speaker 2>and that happened in the nineties, and then populations recovered

1:23:38.720 --> 1:23:43.559
<v Speaker 2>from that decline, and probably no state or province would

1:23:43.560 --> 1:23:45.599
<v Speaker 2>say not many of them would say they have all

1:23:45.640 --> 1:23:49.160
<v Speaker 2>the melder they want, they're all below population objective. But

1:23:49.240 --> 1:23:51.880
<v Speaker 2>there's no West wide melder decline like you see some

1:23:51.920 --> 1:23:55.360
<v Speaker 2>people talking about right now, like it's going down. Arizona

1:23:55.479 --> 1:23:59.360
<v Speaker 2>after the nineteen nineties declined because the drought had fifteen

1:23:59.439 --> 1:24:03.080
<v Speaker 2>years of deady growth, population growth up, and it's just

1:24:03.080 --> 1:24:05.599
<v Speaker 2>the last six years or so drop that has caused

1:24:05.600 --> 1:24:06.400
<v Speaker 2>that to hook down.

1:24:06.640 --> 1:24:12.479
<v Speaker 1>What made what made the mule deer glory days? Yeah,

1:24:12.840 --> 1:24:14.920
<v Speaker 1>good question. That was the weather you called it. That

1:24:15.120 --> 1:24:18.559
<v Speaker 1>was like the late sixties, late seventies whatever. Sometime a

1:24:18.640 --> 1:24:21.320
<v Speaker 1>long time ago. It was the dear glory days. Yeah,

1:24:21.520 --> 1:24:24.559
<v Speaker 1>was that that everything aligned and lifted instead of everything

1:24:24.560 --> 1:24:25.599
<v Speaker 1>aligned and declined.

1:24:25.640 --> 1:24:27.840
<v Speaker 2>There was a lot of other things going on at

1:24:27.840 --> 1:24:30.400
<v Speaker 2>the time. You know, our deer population, like everything else,

1:24:30.479 --> 1:24:34.120
<v Speaker 2>eighteen hundreds or early nineteen twenties declined just because over

1:24:34.160 --> 1:24:37.280
<v Speaker 2>exploitation and no management. Then from the twenties to sixties,

1:24:37.520 --> 1:24:41.759
<v Speaker 2>West wide deer population generally increased. And during that period

1:24:41.800 --> 1:24:45.000
<v Speaker 2>we had now restrictions on harvest, not killing does in

1:24:45.040 --> 1:24:48.360
<v Speaker 2>some places or limiting the killing a dose, limiting the harvest.

1:24:49.200 --> 1:24:52.920
<v Speaker 2>We had ten eighty predator poison and predator control everywhere.

1:24:53.320 --> 1:24:57.280
<v Speaker 2>Dropping poison baits everywhere reduced the predation pressure. We had

1:24:57.280 --> 1:25:01.240
<v Speaker 2>some wet years in there all and then there was

1:25:01.280 --> 1:25:04.480
<v Speaker 2>a lot of logging going on, so we're removing the overstory.

1:25:04.560 --> 1:25:07.400
<v Speaker 2>Shrubs are coming up, forbes are growing. It was great

1:25:07.439 --> 1:25:10.840
<v Speaker 2>for meal deer. So all of that stuff combined was

1:25:10.880 --> 1:25:13.760
<v Speaker 2>happening from the twenties and thirties and then into the

1:25:13.800 --> 1:25:17.400
<v Speaker 2>fifties and early sixties. So fifties and sixties was like

1:25:17.439 --> 1:25:19.160
<v Speaker 2>the heyday of meal deer. We had a lot of

1:25:19.200 --> 1:25:22.400
<v Speaker 2>meal there. But that was the result of conditions and

1:25:22.479 --> 1:25:25.719
<v Speaker 2>activities that we will never repeat. We can't go back

1:25:25.720 --> 1:25:27.799
<v Speaker 2>and do that. We're not going to do that wholesale logging.

1:25:27.800 --> 1:25:30.439
<v Speaker 2>We're not going to drop ten eighty baits one every

1:25:30.439 --> 1:25:32.320
<v Speaker 2>square mile across the West.

1:25:32.360 --> 1:25:33.439
<v Speaker 1>We're not going to do those things.

1:25:33.520 --> 1:25:37.040
<v Speaker 2>So looking at milder populations in the fifties and sixties

1:25:37.280 --> 1:25:40.240
<v Speaker 2>is not the benchmark to compare today's meal there that

1:25:40.360 --> 1:25:43.719
<v Speaker 2>was an unusual bubble because of all those things happening.

1:25:44.000 --> 1:25:46.120
<v Speaker 2>And then in the seventies we had a mealder decline

1:25:46.120 --> 1:25:49.280
<v Speaker 2>coming off of that bubble, and we even had there

1:25:49.320 --> 1:25:52.320
<v Speaker 2>was a symposium in Utah in nineteen seventy six that

1:25:52.439 --> 1:25:54.680
<v Speaker 2>was about mealder decline in the West, and it was

1:25:54.720 --> 1:25:57.920
<v Speaker 2>a whole symposium concerned about this decline in the seventies,

1:25:58.040 --> 1:26:01.120
<v Speaker 2>then we got rainfall generally in the eighties was a

1:26:01.160 --> 1:26:05.120
<v Speaker 2>pretty lush year, and deer populations throughout the West increased

1:26:05.400 --> 1:26:07.840
<v Speaker 2>in the eighties. And then if you remember late eighties

1:26:07.920 --> 1:26:11.240
<v Speaker 2>nineteen eighty eighties, when Yellowstone burned, there was barges running

1:26:11.240 --> 1:26:13.320
<v Speaker 2>around in the Mississippi River because it was so low.

1:26:13.520 --> 1:26:16.240
<v Speaker 2>We had a really really bad drought throughout a lot

1:26:16.280 --> 1:26:20.120
<v Speaker 2>of the West that precipitated this late eighties nineteen nineties

1:26:20.160 --> 1:26:24.479
<v Speaker 2>decline that initiated the Meal Deer Working Group at that time.

1:26:24.760 --> 1:26:27.519
<v Speaker 2>And so we've gone through these swings for different reasons,

1:26:27.920 --> 1:26:31.599
<v Speaker 2>and we've recovered a lot from that nineteen nineties decline,

1:26:31.920 --> 1:26:35.599
<v Speaker 2>and now more than half of the jurisdictions are stable,

1:26:35.760 --> 1:26:39.720
<v Speaker 2>are increasing, some of them are certainly declining, all of

1:26:39.760 --> 1:26:43.599
<v Speaker 2>them below objective, but all below objective, i'd say all

1:26:43.640 --> 1:26:45.800
<v Speaker 2>of them. I don't know if you'd find many meal

1:26:45.840 --> 1:26:48.280
<v Speaker 2>your biologists that say we don't want any more meal there.

1:26:48.280 --> 1:26:51.040
<v Speaker 2>We've got enough. You know, the habitat's full. You know,

1:26:51.080 --> 1:26:55.240
<v Speaker 2>we're still we're still need to build deer herds almost everywhere,

1:26:55.560 --> 1:26:59.000
<v Speaker 2>even though I think Colorado half of the units I

1:26:59.080 --> 1:27:04.400
<v Speaker 2>read from that biologists are at population objectives. So there's

1:27:04.439 --> 1:27:09.080
<v Speaker 2>places where they are, but we're not in dire straits.

1:27:09.120 --> 1:27:13.719
<v Speaker 2>There's no West wide mulder decline right now. We're chugging

1:27:13.720 --> 1:27:18.680
<v Speaker 2>along in weather conditions, whether it's drought or harsh winners

1:27:19.200 --> 1:27:23.679
<v Speaker 2>is causing these annual fluctuations against a backdrop of long

1:27:23.800 --> 1:27:26.599
<v Speaker 2>term habitat change. You know, the West looks a little

1:27:26.640 --> 1:27:29.200
<v Speaker 2>bit different now than it did in nineteen fifty as

1:27:29.200 --> 1:27:33.839
<v Speaker 2>far as urban development, urban sprawl, communities, roads, all that stuff.

1:27:34.000 --> 1:27:35.880
<v Speaker 2>We're not going back to the nineteen fifties, So we

1:27:35.920 --> 1:27:38.800
<v Speaker 2>should not be saying, well, deer populations are such and

1:27:38.880 --> 1:27:41.200
<v Speaker 2>such lower than the nineteen fifties.

1:27:41.640 --> 1:27:44.280
<v Speaker 1>It's not fair. It's not fair to do that.

1:27:44.320 --> 1:27:47.400
<v Speaker 2>But i'm i'm as long as we keep working on

1:27:48.120 --> 1:27:54.280
<v Speaker 2>preserving migration corridors, improving habitat on large scales, I think

1:27:54.320 --> 1:27:57.280
<v Speaker 2>the future meal there is bright. We're going to keep

1:27:57.360 --> 1:28:00.040
<v Speaker 2>chugging along with good mulder herds if we keep paying

1:28:00.080 --> 1:28:01.639
<v Speaker 2>attention and doing everything we can.

1:28:01.880 --> 1:28:04.880
<v Speaker 1>If if every area is below objective, what do you

1:28:04.920 --> 1:28:07.040
<v Speaker 1>think of a what do you think of someone says,

1:28:08.880 --> 1:28:12.519
<v Speaker 1>And before I say this, I'll recognize you're arguing for

1:28:12.600 --> 1:28:15.599
<v Speaker 1>like a nuanced approach where you have twenty four different

1:28:15.600 --> 1:28:18.320
<v Speaker 1>regions and every region has its own story and various factors.

1:28:18.840 --> 1:28:21.400
<v Speaker 1>But let's say I come to you and say, generally,

1:28:22.960 --> 1:28:26.400
<v Speaker 1>should it be that we're not killing female meal deer anymore?

1:28:26.520 --> 1:28:29.280
<v Speaker 2>We shouldn't be killing dough milder. And see that's on

1:28:29.320 --> 1:28:32.000
<v Speaker 2>a unit by unit basis. There's some areas like like

1:28:32.160 --> 1:28:35.480
<v Speaker 2>if half of the units in Colorado are at population objective.

1:28:36.040 --> 1:28:38.519
<v Speaker 2>Then that's the case where you need to maintain that

1:28:38.560 --> 1:28:42.080
<v Speaker 2>population at that in that population objective range. So I

1:28:42.080 --> 1:28:45.960
<v Speaker 2>would not I would not outlaw dough hunting throughout the West.

1:28:46.439 --> 1:28:50.240
<v Speaker 2>In Arizona when populations got really low, then then dough

1:28:50.320 --> 1:28:53.439
<v Speaker 2>hunts were removed and so and you see in units,

1:28:53.479 --> 1:28:56.960
<v Speaker 2>even within a single state, certain units will have doe

1:28:57.040 --> 1:28:59.479
<v Speaker 2>harvest and other units won't. And that's the biologist doing

1:28:59.520 --> 1:29:02.439
<v Speaker 2>what they do and managing those populations based on where

1:29:02.479 --> 1:29:04.920
<v Speaker 2>they are in relation to objectives.

1:29:04.360 --> 1:29:05.720
<v Speaker 1>And where they need to be.

1:29:05.960 --> 1:29:08.400
<v Speaker 2>God, So I wouldn't broadbrush and say we shouldn't be

1:29:08.479 --> 1:29:12.000
<v Speaker 2>killing females. It depends on the area. What about black

1:29:12.040 --> 1:29:15.240
<v Speaker 2>tail deer? Black tail deer are harder to survey. They're

1:29:15.240 --> 1:29:19.599
<v Speaker 2>doing they're doing pellet counts historically they do they're looking

1:29:19.640 --> 1:29:22.680
<v Speaker 2>for sticks yet right, and they use dogs. They'll use

1:29:22.680 --> 1:29:25.080
<v Speaker 2>sniffing dogs to find pellets and they'll record all that

1:29:25.360 --> 1:29:27.920
<v Speaker 2>they collect. In Alaska they've done a lot of pellet

1:29:27.920 --> 1:29:31.400
<v Speaker 2>collecting where they they do genetics and they look at

1:29:31.439 --> 1:29:34.400
<v Speaker 2>how many individual minimum number of individual deer they have

1:29:34.520 --> 1:29:38.679
<v Speaker 2>per square mile based on genetic fingerprints. So they're hard

1:29:38.680 --> 1:29:45.040
<v Speaker 2>to they're hard to monitor. They're very susceptible, especially Southeast Alaska,

1:29:45.320 --> 1:29:48.200
<v Speaker 2>very susceptible to heavy snow winters. You get those islands,

1:29:48.479 --> 1:29:50.920
<v Speaker 2>Prince of Whale, all those islands, you get a heavy,

1:29:50.960 --> 1:29:52.759
<v Speaker 2>heavy snow winter and you can lose fifty to sixty

1:29:52.760 --> 1:29:55.679
<v Speaker 2>percent of the black population. But then in the years

1:29:55.720 --> 1:29:59.679
<v Speaker 2>after that they come roaring back. Once the population is down,

1:30:00.040 --> 1:30:02.559
<v Speaker 2>there's a lot of food for the remaining animals. Those

1:30:02.560 --> 1:30:06.360
<v Speaker 2>populations bounce right back. So they dip and they grow

1:30:06.439 --> 1:30:10.240
<v Speaker 2>based on mostly on weather conditions. But then again I

1:30:10.240 --> 1:30:12.600
<v Speaker 2>said weather conditions in the forefront, and the background is

1:30:12.640 --> 1:30:15.000
<v Speaker 2>long term habitat changes. And one of the things in

1:30:15.439 --> 1:30:19.800
<v Speaker 2>Sitka Blacktail Range is the logging that was done in

1:30:19.840 --> 1:30:22.920
<v Speaker 2>the past that has now all grown up into second growth,

1:30:23.360 --> 1:30:28.519
<v Speaker 2>really thick, not very easily marketed for anything commercially. So

1:30:28.560 --> 1:30:32.360
<v Speaker 2>we've got it's called stem exclusion or stand exclusion, where

1:30:32.600 --> 1:30:34.800
<v Speaker 2>the sunlight's not reaching the ground to make forbes and

1:30:34.800 --> 1:30:37.639
<v Speaker 2>shrubs that the deer eat. It's just blocking out the light.

1:30:37.920 --> 1:30:40.400
<v Speaker 2>So you have all the secondary growth that needs to

1:30:40.439 --> 1:30:44.280
<v Speaker 2>be cut. But other than maybe cutting it and making

1:30:44.320 --> 1:30:48.879
<v Speaker 2>wood pellets is a possibility, someone needs to commercialize something

1:30:48.920 --> 1:30:51.040
<v Speaker 2>to get in there and open up some of that,

1:30:51.080 --> 1:30:54.360
<v Speaker 2>But it doesn't mean that the old growth forests in

1:30:54.400 --> 1:30:57.120
<v Speaker 2>southeast Alaska need to be logged. The old growth forest

1:30:57.439 --> 1:30:59.800
<v Speaker 2>is really important for the same reason those big old

1:30:59.840 --> 1:31:04.599
<v Speaker 2>trees they stop the snowfall, and in heavy snowfall events,

1:31:04.600 --> 1:31:07.880
<v Speaker 2>the deer that have to have that mature old growth

1:31:07.920 --> 1:31:09.640
<v Speaker 2>force to go in and move around and feed a

1:31:09.680 --> 1:31:12.200
<v Speaker 2>little bit until the snow melts enough that they can

1:31:12.240 --> 1:31:14.280
<v Speaker 2>go back out into clear cuts in some of the

1:31:14.280 --> 1:31:16.560
<v Speaker 2>places with more food. So the old growth forest is

1:31:16.600 --> 1:31:20.519
<v Speaker 2>really important. And then that stem exclusion is keeping that

1:31:20.600 --> 1:31:23.160
<v Speaker 2>habitat from having more food than it could have if

1:31:23.200 --> 1:31:25.679
<v Speaker 2>it was if it was managed better. So that stuff's

1:31:25.680 --> 1:31:29.800
<v Speaker 2>going on in the background of these annual blacktail fluctuations.

1:31:30.120 --> 1:31:38.160
<v Speaker 1>You know those clear cuts there, they're so good for

1:31:38.240 --> 1:31:41.840
<v Speaker 1>ten years or whatever in that country. They're so good

1:31:41.880 --> 1:31:45.240
<v Speaker 1>for deer for ten years, and then they're so terrible

1:31:45.280 --> 1:31:49.040
<v Speaker 1>for deer. Yeah when they grow for thirty or forty. Yeah,

1:31:49.280 --> 1:31:52.679
<v Speaker 1>for forty when there's a new one, you're like, that's

1:31:52.680 --> 1:31:55.080
<v Speaker 1>cool now, but man, then it's just gonna suck. Yeah.

1:31:55.160 --> 1:31:57.639
<v Speaker 2>And even if they leave, if they go in and

1:31:57.720 --> 1:32:00.920
<v Speaker 2>leave a lot of slash and horizon of logs, it

1:32:01.080 --> 1:32:03.080
<v Speaker 2>becomes an issue of deer not being able to move

1:32:03.120 --> 1:32:05.160
<v Speaker 2>around as well either in some of those clear cuts.

1:32:05.240 --> 1:32:09.519
<v Speaker 1>Yeah, it's is total obstacle. Course. Yeah. So Chairmanship of

1:32:09.560 --> 1:32:12.720
<v Speaker 1>the Western Association of Fish and Wildlife Agencies Meal Deer

1:32:12.720 --> 1:32:13.240
<v Speaker 1>Working Group.

1:32:13.439 --> 1:32:16.879
<v Speaker 2>Yeah, how long a you been doing that? Twenty eight years?

1:32:17.000 --> 1:32:19.160
<v Speaker 2>I was one of the original I'm the only remaining

1:32:19.200 --> 1:32:22.080
<v Speaker 2>original member that was approved by the Western directors in

1:32:22.160 --> 1:32:24.439
<v Speaker 2>nineteen ninety seven. Our first meeting was in ninety eight

1:32:24.479 --> 1:32:28.880
<v Speaker 2>and Jackson, Wyoming. About eight years later, the chairman retired

1:32:28.920 --> 1:32:31.519
<v Speaker 2>and passed the torch to me. So I've been chairman

1:32:31.600 --> 1:32:33.920
<v Speaker 2>for twenty years. And if you go on to see

1:32:33.920 --> 1:32:35.800
<v Speaker 2>what we've been up to for twenty years or twenty

1:32:35.840 --> 1:32:39.760
<v Speaker 2>eight years, We've got a a website Meal Deerworkinggroup dot com.

1:32:39.800 --> 1:32:42.400
<v Speaker 2>It's just all one word Meal Deer Working Group, and

1:32:42.720 --> 1:32:44.880
<v Speaker 2>you see a lot of publications on there. And what

1:32:44.920 --> 1:32:48.599
<v Speaker 2>we put together is like we established we'd established seven

1:32:48.680 --> 1:32:52.200
<v Speaker 2>ecoregions in North America that were related to meal deer

1:32:52.280 --> 1:32:56.000
<v Speaker 2>management and meal deir ecology, and we produce habitat guidelines

1:32:56.040 --> 1:32:58.240
<v Speaker 2>for each one of those seven ecoregions.

1:32:58.240 --> 1:32:59.559
<v Speaker 1>So a practitioner on the ground.

1:32:59.560 --> 1:33:02.519
<v Speaker 2>A BLM biologists in the Southwest deserts can pull out

1:33:02.520 --> 1:33:05.240
<v Speaker 2>the Southwest deserts to have that guidelines and read about

1:33:05.240 --> 1:33:07.760
<v Speaker 2>what deer need to thrive in the Southwest desert or

1:33:07.800 --> 1:33:08.840
<v Speaker 2>the coastal rainforest.

1:33:09.240 --> 1:33:09.760
<v Speaker 1>We've done that.

1:33:09.800 --> 1:33:14.519
<v Speaker 2>We produced other documents about disease concerns translocating wildlife. We

1:33:14.600 --> 1:33:18.679
<v Speaker 2>produce the North American Milder Conservation Plan, which which guided

1:33:18.920 --> 1:33:22.400
<v Speaker 2>conservation in a very general way throughout the West. And

1:33:22.479 --> 1:33:24.960
<v Speaker 2>with that plan, we wrote an MoU and we had

1:33:25.000 --> 1:33:27.479
<v Speaker 2>the Chief of the Force Service, the director of the BLM,

1:33:27.800 --> 1:33:31.280
<v Speaker 2>and about seven agency heads signed this MoU saying that

1:33:31.320 --> 1:33:35.320
<v Speaker 2>their documents, their forest management plans, their BLM resource management

1:33:35.320 --> 1:33:38.960
<v Speaker 2>plans would incorporate these things and be consistent with the

1:33:39.000 --> 1:33:42.920
<v Speaker 2>North American Milder Conservation Plan. So if anybody, any local biologists,

1:33:42.920 --> 1:33:45.360
<v Speaker 2>said we're not going to do that, we said, well,

1:33:45.360 --> 1:33:47.559
<v Speaker 2>your director says that you're going to do things that

1:33:47.600 --> 1:33:51.479
<v Speaker 2>are consistent with what milder need and blacktail deer need,

1:33:51.520 --> 1:33:55.799
<v Speaker 2>and we're revamping that now. But we've got a guidance

1:33:55.840 --> 1:33:59.840
<v Speaker 2>document on if you're monitoring milder populations, here's some of

1:33:59.840 --> 1:34:03.800
<v Speaker 2>them metrics you should monitor and here's some advantages and

1:34:03.840 --> 1:34:08.240
<v Speaker 2>disadvantages of monitoring them different ways, kind of for biologists.

1:34:08.320 --> 1:34:12.839
<v Speaker 2>We did something on movements and migration barriers to a movement,

1:34:13.240 --> 1:34:16.400
<v Speaker 2>and that website has all of these documents as a

1:34:16.400 --> 1:34:18.559
<v Speaker 2>PDF and a lot of the meal there Working group

1:34:18.600 --> 1:34:21.800
<v Speaker 2>members then contributed to our latest mealder book, that big

1:34:21.840 --> 1:34:23.400
<v Speaker 2>one that you have, the black one that you have,

1:34:23.720 --> 1:34:26.920
<v Speaker 2>where there's eighty two chapters and each eighty two co authors,

1:34:27.720 --> 1:34:30.680
<v Speaker 2>twenty three chapters, and each chapter is written by the

1:34:30.800 --> 1:34:34.679
<v Speaker 2>national expert for that particular topic with a team of writers.

1:34:34.760 --> 1:34:37.640
<v Speaker 2>It's all the latest mealder and black tailed deer information.

1:34:37.960 --> 1:34:41.200
<v Speaker 2>And the meal Deer Working Group had us and a

1:34:41.240 --> 1:34:44.240
<v Speaker 2>lot of our friends that are working on meal deer

1:34:44.280 --> 1:34:45.080
<v Speaker 2>work on that book.

1:34:45.200 --> 1:34:46.519
<v Speaker 1>Yeah, if you want to be the guy in your

1:34:46.600 --> 1:34:48.880
<v Speaker 1>circle that knows the most about mule deer black tails,

1:34:48.920 --> 1:34:50.599
<v Speaker 1>you should get that book and memorize it.

1:34:50.600 --> 1:34:54.920
<v Speaker 2>It's got to beat everybody. It's comprehensive. Yeah, sure you.

1:34:55.000 --> 1:34:56.120
<v Speaker 2>So this is a funny one.

1:34:57.760 --> 1:35:03.320
<v Speaker 1>You recently went into to New Zealand to speak about

1:35:03.680 --> 1:35:08.439
<v Speaker 1>servid conservation. But they're I mean, I feel like they

1:35:08.439 --> 1:35:12.880
<v Speaker 1>spend more energy trying to get rid of wildlife. They absolutely.

1:35:12.920 --> 1:35:14.960
<v Speaker 1>Do they spend more energy trying to get rid of

1:35:15.000 --> 1:35:16.920
<v Speaker 1>wild not wildlife, but more than you trying to get

1:35:17.000 --> 1:35:21.080
<v Speaker 1>rid of hooved animals. Yeah, there's no No one talks

1:35:21.080 --> 1:35:24.679
<v Speaker 1>in New Zealand about conservation. I know, it's like gloves

1:35:24.680 --> 1:35:27.160
<v Speaker 1>off as it should be. Yeah, like the helicopter goun them,

1:35:27.200 --> 1:35:29.400
<v Speaker 1>you know what I mean, It's like they're not they're

1:35:29.439 --> 1:35:32.400
<v Speaker 1>not They're not trying to make robust populations for hunters

1:35:32.400 --> 1:35:34.599
<v Speaker 1>to be able to go out and do this meeting

1:35:34.800 --> 1:35:37.479
<v Speaker 1>was It happens every four years somewhere around the world.

1:35:37.479 --> 1:35:39.840
<v Speaker 2>So it's been in China, been in Peru. I'm in

1:35:39.880 --> 1:35:42.320
<v Speaker 2>the Czech Republic. I helped organize the one in twenty

1:35:42.320 --> 1:35:44.679
<v Speaker 2>eighteen in ss Park, Colorado. We had it in the US,

1:35:45.200 --> 1:35:47.679
<v Speaker 2>and this year I rotated. It was in Croatia four

1:35:47.760 --> 1:35:50.400
<v Speaker 2>years ago, in New Zealand this time. And I don't

1:35:50.439 --> 1:35:52.120
<v Speaker 2>get I got to go to the Colorado one because

1:35:52.160 --> 1:35:54.479
<v Speaker 2>I helped organize it and it was in a neighboring state.

1:35:56.000 --> 1:35:58.400
<v Speaker 2>My department's not going to send me to China and

1:35:58.439 --> 1:36:01.720
<v Speaker 2>to Peru, and so I didn't think I was gonna

1:36:01.720 --> 1:36:02.880
<v Speaker 2>be able to the New Zealand one.

1:36:03.240 --> 1:36:03.960
<v Speaker 1>And they asked me.

1:36:04.040 --> 1:36:07.200
<v Speaker 2>It's called the International Deer Biology Congress, and they asked

1:36:07.200 --> 1:36:09.720
<v Speaker 2>me to be a keynote speaker with the expenses paid.

1:36:09.760 --> 1:36:12.280
<v Speaker 2>So I was able to finally get to an international

1:36:12.360 --> 1:36:14.320
<v Speaker 2>version of that, and I went there and I talked

1:36:14.320 --> 1:36:18.040
<v Speaker 2>about how we manage deer and elk all service in

1:36:18.080 --> 1:36:23.320
<v Speaker 2>North America amid the mosaic of BLM land, forest land,

1:36:23.880 --> 1:36:27.400
<v Speaker 2>private land, National Park Service land, and you have biologists

1:36:27.439 --> 1:36:30.599
<v Speaker 2>for all those different agencies and around that, and then

1:36:30.640 --> 1:36:33.800
<v Speaker 2>you have funding, all these different funding sources for conservation,

1:36:34.200 --> 1:36:37.160
<v Speaker 2>and among this mess that we have in North America,

1:36:37.520 --> 1:36:40.839
<v Speaker 2>we somehow have this beautiful, well functioning system that works

1:36:41.560 --> 1:36:45.120
<v Speaker 2>really really well. So that was my keynote address in

1:36:45.720 --> 1:36:48.880
<v Speaker 2>New Zealand at that talk. But it was interesting because

1:36:48.920 --> 1:36:54.200
<v Speaker 2>that conference sponsored by the New Zealanders. That conference, the title,

1:36:54.280 --> 1:36:58.600
<v Speaker 2>the theme of that conference was your deer here, and

1:36:58.680 --> 1:37:01.479
<v Speaker 2>it was about New Zealand didn't have any deer. It

1:37:01.520 --> 1:37:03.920
<v Speaker 2>was all of our deer that were in New Zealand.

1:37:04.680 --> 1:37:08.720
<v Speaker 2>It just said our deer, your deer here. And And

1:37:08.800 --> 1:37:11.400
<v Speaker 2>so there was talks about trying to raty they're they're

1:37:11.400 --> 1:37:15.240
<v Speaker 2>poisoning brushtail possums, they're poisoning white tails in some areas

1:37:15.680 --> 1:37:18.479
<v Speaker 2>with poisons to control them.

1:37:18.640 --> 1:37:20.719
<v Speaker 1>Yeah, it's it's like when.

1:37:20.520 --> 1:37:22.000
<v Speaker 2>You go there, you don't need you don't need a

1:37:22.040 --> 1:37:27.920
<v Speaker 2>hunting license on public land they're poisoning, which it makes

1:37:27.920 --> 1:37:30.840
<v Speaker 2>me feel kind of strange, but they're talking about endangered

1:37:30.840 --> 1:37:34.520
<v Speaker 2>plants and trying to save what eco, what native ecosystem

1:37:34.560 --> 1:37:38.479
<v Speaker 2>they had. They had they had three there's reports between

1:37:38.520 --> 1:37:41.160
<v Speaker 2>one and three mammals that were native to New Zealand.

1:37:41.520 --> 1:37:42.320
<v Speaker 1>And there were bats.

1:37:42.800 --> 1:37:45.040
<v Speaker 2>Yeah, and there was one bat that was there and there

1:37:45.080 --> 1:37:47.080
<v Speaker 2>was another I think the other ones were fossils of

1:37:47.160 --> 1:37:50.799
<v Speaker 2>bat species. So they had no mammals, basically no predators

1:37:50.840 --> 1:37:53.439
<v Speaker 2>at all. And they had they had nine different species

1:37:53.479 --> 1:37:56.880
<v Speaker 2>of moa, these nine foot the largest one with nine

1:37:56.920 --> 1:38:00.920
<v Speaker 2>foot flightless birds running around the island. Anesians got there

1:38:01.520 --> 1:38:03.639
<v Speaker 2>I think eight hundred years ago and it only took

1:38:03.640 --> 1:38:05.479
<v Speaker 2>them about one hundred years ago, one hundred years to

1:38:05.800 --> 1:38:06.479
<v Speaker 2>wipe out.

1:38:06.320 --> 1:38:08.479
<v Speaker 1>All of the MOA's on the island.

1:38:08.479 --> 1:38:11.320
<v Speaker 2>And the only thing big You imagine you're on an

1:38:11.320 --> 1:38:14.040
<v Speaker 2>island and you've got nine foot chickens running around. I

1:38:14.080 --> 1:38:16.000
<v Speaker 2>mean they used them.

1:38:16.080 --> 1:38:18.800
<v Speaker 1>They they had been egg harvest too. Man, Yeah, oh

1:38:18.840 --> 1:38:20.559
<v Speaker 1>I bet yeah, because that's like to do.

1:38:20.760 --> 1:38:23.320
<v Speaker 2>So there was eight or nine different species of servants

1:38:23.320 --> 1:38:25.519
<v Speaker 2>that were brought to New Zealand from different places in

1:38:25.560 --> 1:38:28.720
<v Speaker 2>the world, and they still have most of them. I

1:38:28.800 --> 1:38:31.400
<v Speaker 2>was surprised to hear at the meeting they brought moose

1:38:32.680 --> 1:38:35.040
<v Speaker 2>one hundred years ago. Teddy Roosevelt was involved in some

1:38:35.080 --> 1:38:37.400
<v Speaker 2>of the trains locations they brought moose, and I was

1:38:37.400 --> 1:38:41.760
<v Speaker 2>surprised to hear some people talking about maybe there being

1:38:41.840 --> 1:38:42.759
<v Speaker 2>a couple of moose.

1:38:42.560 --> 1:38:44.360
<v Speaker 1>Still that I've heard that there's rumors of that.

1:38:44.400 --> 1:38:46.640
<v Speaker 2>It seems kind of like their Bigfoot, their version of

1:38:46.640 --> 1:38:47.840
<v Speaker 2>Bigfoot is what it seems like.

1:38:48.240 --> 1:38:52.200
<v Speaker 1>It's never any proof, but there's there's reports. Well, like

1:38:52.280 --> 1:38:54.160
<v Speaker 1>it's got to be. And I hunted there, you know,

1:38:55.680 --> 1:38:59.000
<v Speaker 1>in the sense I got from the guys in that

1:38:59.080 --> 1:39:02.240
<v Speaker 1>community is the same when I get when I'm hanging

1:39:02.240 --> 1:39:07.639
<v Speaker 1>out with Hawaiians. Is uh. They've built the whole culture

1:39:07.680 --> 1:39:10.320
<v Speaker 1>and lifestyle around big game hunt. Yeah, right, And so

1:39:10.560 --> 1:39:13.439
<v Speaker 1>a lot of the people it's it's funny because you

1:39:13.520 --> 1:39:16.360
<v Speaker 1>get this idea here that you know, you get this

1:39:16.479 --> 1:39:20.599
<v Speaker 1>idea here that that you know, like like whatever that

1:39:20.640 --> 1:39:22.600
<v Speaker 1>the tree huggers want to save the deer. You know

1:39:23.160 --> 1:39:25.400
<v Speaker 1>or something, but at hiss like the tree huggers want

1:39:25.640 --> 1:39:27.599
<v Speaker 1>the tree huggers want to be dead. Dude.

1:39:28.200 --> 1:39:30.120
<v Speaker 2>We have a We have a representative on the Milder

1:39:30.160 --> 1:39:33.759
<v Speaker 2>Working Group from Hawaii, and that's because in nineteen sixty

1:39:33.840 --> 1:39:37.120
<v Speaker 2>one they brought some Columbian blacktail from Oregon and put

1:39:37.160 --> 1:39:39.479
<v Speaker 2>them on Kawai in the Island of Kawai, and they're

1:39:39.520 --> 1:39:41.840
<v Speaker 2>still there and they're hunted and the locals that like

1:39:41.880 --> 1:39:45.000
<v Speaker 2>the deer hunt like them, so they're not eradicating them.

1:39:45.760 --> 1:39:49.080
<v Speaker 2>But like the We had a meeting in Hawaii once

1:39:49.560 --> 1:39:52.559
<v Speaker 2>and I asked the Hawaiian representative for the Mealier Working Group.

1:39:52.600 --> 1:39:54.040
<v Speaker 2>I said, do you finally get to go to a

1:39:54.040 --> 1:39:56.600
<v Speaker 2>meeting because we're here in Hawaii And he said, no,

1:39:56.720 --> 1:39:59.040
<v Speaker 2>I've gotten an endangered plant meeting I got to be at.

1:39:59.120 --> 1:40:03.240
<v Speaker 2>He said, Honestly, we're not looking to conserve and increase

1:40:03.280 --> 1:40:08.240
<v Speaker 2>our deer. He said, like, like, there's fifty different species

1:40:08.240 --> 1:40:09.840
<v Speaker 2>in their diet and almost all of them are in

1:40:09.920 --> 1:40:12.720
<v Speaker 2>dangered plant species. We don't want more. We don't want

1:40:12.800 --> 1:40:15.040
<v Speaker 2>more of them. It's an interesting different perspective.

1:40:15.120 --> 1:40:17.479
<v Speaker 1>One of the conversations that sticks to me most wasn't

1:40:17.520 --> 1:40:18.840
<v Speaker 1>new Zealand, but it was in Hawaii. But it was

1:40:18.880 --> 1:40:21.520
<v Speaker 1>around the same issue as I was talking to a

1:40:21.720 --> 1:40:27.760
<v Speaker 1>native Hawaiian, Okay, like an ancestral Hawaiian or like an

1:40:27.760 --> 1:40:29.680
<v Speaker 1>ethnic I don't know what you call it, like a Hawaiian,

1:40:29.720 --> 1:40:31.439
<v Speaker 1>not a guy who lives in Hawaii, but a but

1:40:31.479 --> 1:40:35.400
<v Speaker 1>a native Hawaiian. And you know, historically, the idea is

1:40:35.400 --> 1:40:38.040
<v Speaker 1>that when when the Polynesians, when the Polynesians arrived in

1:40:38.040 --> 1:40:41.160
<v Speaker 1>Hawaii sometime around eleven hundred years ago, they brought they

1:40:41.240 --> 1:40:46.000
<v Speaker 1>brought this menagerie of things with them and including pigs. Right,

1:40:46.040 --> 1:40:48.080
<v Speaker 1>the pigs have been there a long time. And he

1:40:48.200 --> 1:40:50.960
<v Speaker 1>was sharing with me and goes, how can I be native?

1:40:52.479 --> 1:40:56.839
<v Speaker 1>I am native, but the pigs that my people brought

1:40:57.000 --> 1:41:01.439
<v Speaker 1>in the same connection, they gotta go but I'm native. Wow.

1:41:01.680 --> 1:41:05.519
<v Speaker 1>And his take was he didn't want His take was

1:41:05.840 --> 1:41:12.120
<v Speaker 1>he didn't need outsiders, you know, he didn't need howleies

1:41:12.479 --> 1:41:15.960
<v Speaker 1>coming and telling him what animals belonged on the island.

1:41:16.479 --> 1:41:19.000
<v Speaker 2>That's such an important part of their culture. It's not

1:41:19.280 --> 1:41:21.240
<v Speaker 2>just like an animal, whether it needs to be there

1:41:21.320 --> 1:41:23.680
<v Speaker 2>or not. It's part of the culture. It's part of them.

1:41:24.000 --> 1:41:27.080
<v Speaker 1>Was it was just so offensive to him. Yeah, this

1:41:27.200 --> 1:41:30.080
<v Speaker 1>conversation that like, oh no, no, your native mad respect,

1:41:30.479 --> 1:41:33.639
<v Speaker 1>but your pigs. Yeah, gotta go get him out of here.

1:41:33.840 --> 1:41:37.760
<v Speaker 1>Ye did you hunt New Zealand last?

1:41:38.080 --> 1:41:40.439
<v Speaker 2>Yeah? I have Yeah, I have friend Pete Caldwell. I

1:41:40.520 --> 1:41:42.960
<v Speaker 2>met in a few years prior to that, and he

1:41:43.000 --> 1:41:45.240
<v Speaker 2>said he knew about the New Zealand Deer meeting. He said,

1:41:45.439 --> 1:41:47.120
<v Speaker 2>if you get to that meeting, he said, let's go

1:41:47.160 --> 1:41:49.880
<v Speaker 2>out and do something fun. And so the meeting was

1:41:49.920 --> 1:41:53.439
<v Speaker 2>over and my son Levi and I and Pete took

1:41:53.520 --> 1:41:58.040
<v Speaker 2>us out along with another guy, pa Ellen from Sweden,

1:41:58.360 --> 1:41:59.280
<v Speaker 2>big Swedish guy.

1:41:59.640 --> 1:42:00.360
<v Speaker 1>We went out and.

1:42:02.120 --> 1:42:06.759
<v Speaker 2>We did a little blitzkrieg about two days of hunting,

1:42:06.800 --> 1:42:08.599
<v Speaker 2>staying out there, staying in one of the old hunting

1:42:08.600 --> 1:42:12.879
<v Speaker 2>shacks that was more than one hundred years old probably,

1:42:13.280 --> 1:42:16.200
<v Speaker 2>and we shot red deer and we shot tar. We

1:42:16.240 --> 1:42:19.639
<v Speaker 2>shot brush tailed possum shot. I got a European hair,

1:42:19.720 --> 1:42:22.640
<v Speaker 2>European rabbit, which excites jack rabbit gym. Be able to

1:42:22.680 --> 1:42:27.639
<v Speaker 2>get some European European hairs. Almost got a feral house cat,

1:42:27.720 --> 1:42:30.680
<v Speaker 2>but I couldn't couldn't get my sights fast enough. They

1:42:31.439 --> 1:42:34.240
<v Speaker 2>Bete was with me and he's like He's like, get

1:42:34.320 --> 1:42:36.040
<v Speaker 2>get in a position, Get in a position, and I'm like,

1:42:36.080 --> 1:42:36.920
<v Speaker 2>what what what is it?

1:42:37.000 --> 1:42:39.160
<v Speaker 1>What's over there? It's a cat? Hurry up.

1:42:39.200 --> 1:42:42.800
<v Speaker 2>He was like really excited about getting the cane. It's

1:42:42.840 --> 1:42:46.800
<v Speaker 2>slunk away away right, that would have been interesting. Gripp

1:42:46.800 --> 1:42:50.280
<v Speaker 2>and grin o SunShot of Wallaby. Wallaby's are hated. I

1:42:50.280 --> 1:42:52.559
<v Speaker 2>mean the yeah, they're cute. My wife says, you're not

1:42:52.560 --> 1:42:56.439
<v Speaker 2>shooting wallaby and I didn't, but LEVI didn't have but

1:42:56.439 --> 1:42:59.400
<v Speaker 2>they're on the extermination list. Oh yeah, big time, big

1:42:59.439 --> 1:43:01.400
<v Speaker 2>time there. The brows line when we were up in

1:43:01.439 --> 1:43:04.280
<v Speaker 2>those mountains, the brows line was just tremendous, like everything

1:43:04.360 --> 1:43:07.960
<v Speaker 2>gone from from three and a half feet down, just

1:43:08.200 --> 1:43:11.680
<v Speaker 2>like dirt, everything eating with tars up there and the

1:43:11.720 --> 1:43:14.960
<v Speaker 2>wallaby's feat didn't even want us shooting at a wallaby

1:43:15.280 --> 1:43:17.960
<v Speaker 2>because he was afraid we'd miss. He wanted to make

1:43:18.000 --> 1:43:20.160
<v Speaker 2>sure that that thing hit the ground.

1:43:21.080 --> 1:43:22.000
<v Speaker 1>It was in a new.

1:43:21.880 --> 1:43:24.439
<v Speaker 2>Area, that it was a really nice area and they're

1:43:24.520 --> 1:43:27.519
<v Speaker 2>starting to pioneer into that area and so like every

1:43:27.560 --> 1:43:28.559
<v Speaker 2>pioneer needs to go.

1:43:28.680 --> 1:43:30.120
<v Speaker 1>He was adamant a lot of hutting.

1:43:30.200 --> 1:43:30.280
<v Speaker 2>Me.

1:43:30.640 --> 1:43:34.760
<v Speaker 1>Yeah, what I had fun there man hunting there, But

1:43:34.880 --> 1:43:37.080
<v Speaker 1>the reason I couldn't get into it for like I

1:43:37.080 --> 1:43:39.880
<v Speaker 1>couldn't get into like to consider going back or anything.

1:43:40.080 --> 1:43:44.840
<v Speaker 1>Is that the non native aspect of it. Yeah, that

1:43:44.920 --> 1:43:50.880
<v Speaker 1>it's not it's not like a heritage thing. Yeah, it's

1:43:50.920 --> 1:43:53.519
<v Speaker 1>like a giant. They came in on a boat. There's

1:43:53.560 --> 1:43:56.280
<v Speaker 1>not like a human hunting heritage there. It was just

1:43:56.760 --> 1:44:02.240
<v Speaker 1>it was it was hunting without hunting without cultural history,

1:44:02.680 --> 1:44:07.719
<v Speaker 1>hunting without wildlife history, and it just like I had fun,

1:44:07.800 --> 1:44:10.559
<v Speaker 1>but there was just something gone. And another thing that

1:44:10.600 --> 1:44:15.679
<v Speaker 1>really struck me is the no predators on the landscape. Yeah, right,

1:44:16.040 --> 1:44:17.960
<v Speaker 1>there was something about it. And I don't want to

1:44:18.000 --> 1:44:20.920
<v Speaker 1>hack like like you know, I mean, this isn't meant

1:44:20.920 --> 1:44:24.240
<v Speaker 1>to disparage dudes in New Zealand's just an observation from

1:44:24.280 --> 1:44:26.760
<v Speaker 1>a guy fire away. That doesn't matter. But I just

1:44:27.320 --> 1:44:30.280
<v Speaker 1>there's certain things that were missing that I didn't know

1:44:30.479 --> 1:44:31.400
<v Speaker 1>meant so much to me.

1:44:31.520 --> 1:44:34.320
<v Speaker 2>Yeah, And sheep raising is such a huge part of

1:44:34.400 --> 1:44:37.760
<v Speaker 2>New Zealand culture. Sheep raising, so you can imagine how

1:44:37.760 --> 1:44:41.200
<v Speaker 2>interested they are bringing a compliment of predators over to control.

1:44:41.400 --> 1:44:43.719
<v Speaker 1>There's not gonna happen. Whenever I'm in Hawaii, I always

1:44:43.760 --> 1:44:46.200
<v Speaker 1>think like some parts of Hawaii, the dry side like Kona.

1:44:46.280 --> 1:44:48.080
<v Speaker 1>You know, I was like, dude, if you turn a

1:44:48.160 --> 1:44:50.599
<v Speaker 1>rattlesnake out here, he'd love it. Not that I would

1:44:50.640 --> 1:44:52.720
<v Speaker 1>do that, but you know, you think about like there's

1:44:52.760 --> 1:44:56.680
<v Speaker 1>certain predators who just love New Zealand. Ye, but it's

1:44:56.720 --> 1:44:59.920
<v Speaker 1>not gonna happen. Well, Jim Heffelfinger, thanks for joining, man.

1:45:00.680 --> 1:45:03.559
<v Speaker 1>I enjoyed it. I always enjoy coming back. Appreciate all

1:45:03.600 --> 1:45:08.080
<v Speaker 1>your work on behalf of American wildlife and also just

1:45:08.120 --> 1:45:11.560
<v Speaker 1>the effort you take as a as a as a scientist,

1:45:11.600 --> 1:45:13.640
<v Speaker 1>the effort you take to come and talk to just

1:45:13.800 --> 1:45:19.080
<v Speaker 1>Joe blow outdoor people, Joe Blow hunters and anglers and

1:45:19.560 --> 1:45:23.760
<v Speaker 1>try to help them ask the right questions understand what

1:45:23.840 --> 1:45:27.200
<v Speaker 1>they're reading. I think that's see you through the noise

1:45:27.280 --> 1:45:31.439
<v Speaker 1>and follow wildlife and be like a concerned be a

1:45:31.479 --> 1:45:34.000
<v Speaker 1>concerned resource user. Yeah.

1:45:34.120 --> 1:45:37.320
<v Speaker 2>I've written a lot of magazine articles and I enjoy

1:45:37.400 --> 1:45:39.759
<v Speaker 2>and I think I've honed the skill of taking complex

1:45:39.760 --> 1:45:42.720
<v Speaker 2>scientific stuff and just explaining it so that anybody can

1:45:42.840 --> 1:45:43.439
<v Speaker 2>understand it.

1:45:44.200 --> 1:45:45.479
<v Speaker 1>And I think that's valuable.

1:45:45.520 --> 1:45:51.000
<v Speaker 2>So I'm driven by the desire to provide reliable, unbiased

1:45:51.040 --> 1:45:53.479
<v Speaker 2>information and let people just learn from that.

1:45:53.840 --> 1:46:14.759
<v Speaker 1>Yep, well till next time. Thank you, yeah, thanks