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Speaker 1: My name is Clay Nukeleman.

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Speaker 2: This is a production of the Bear Grease podcast called

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Speaker 2: the Bear Grease Render, where we render down, dive deeper,

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Speaker 2: and look behind the scenes of the actual bear Grease podcast,

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Speaker 2: presented by f h F Gear, American Maid, purpose built

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Speaker 2: hunting and fishing gear that's designed to be as rugged

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Speaker 2: as the place as we explore. Bear pick up that dog,

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Speaker 2: just let bear have it. I don't think she's gonna

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Speaker 2: let me have it.

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Speaker 1: Jesus, tell us about your dog.

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Speaker 2: This is o sage and calling her sage. She's a

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Speaker 2: tree and feist. I got her yesterday. So this little

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Speaker 2: dog is probably like ten pounds nine weeks old.

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Speaker 1: It's a small dog yep.

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Speaker 2: Max max weight might be a twenty eight to thirty dog.

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Speaker 2: But he said that she's gonna between twenty and thirty

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Speaker 2: pounds pow like test and tim. So, uh, what are

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Speaker 2: you plan to do with this? This fis bear squirrel hunt?

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Speaker 2: Squirrel hunt?

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Speaker 1: Yep. How are you gonna train them? Well, I'm gonna

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Speaker 1: let her run loose for the test.

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Speaker 3: Yeah, just run.

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Speaker 1: Don't think for a minute that I don't know what

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Speaker 1: you should be doing.

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Speaker 2: Go ahead, Well, I'm gonna let her run loose for

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Speaker 2: the first six months, just out in the yard or

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Speaker 2: their squirrels, and then I'll just start taking her out

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Speaker 2: in the woods with Test and Tim and kind of

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Speaker 2: trying to hone in her instinct to specifically squirrels, because

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Speaker 2: I mean, I think, you know, she'll naturally want to

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Speaker 2: go after stuff. Man, Anthony, We've had incredible We've been

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Speaker 2: incredibly surprised with these feists. Yeah, these two that we

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Speaker 2: have out here, the first two that we've had, and Tim,

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Speaker 2: one of the ones out there, is like probably the

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Speaker 2: smartest dog I've I've owned in terms of just human

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Speaker 2: relatability and intelligence. So they're they're fun little dogs.

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Speaker 3: Are they Are they those that just have to be

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Speaker 3: doing something all the time, they have to beaged all

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Speaker 3: the time.

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Speaker 1: Oh, they're they're Yeah, they're high energy. Yeah.

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Speaker 4: Tim is middle aged right now.

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Speaker 1: He's he's coming on five years old.

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Speaker 5: Yeah, and he's, uh, you know, he's getting a little

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Speaker 5: bit grumpy, a little bit older. I mean, you can

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Speaker 5: tell he's kind of irritated with life a lot, and

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Speaker 5: this addition has not been He's not impressed. You know,

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Speaker 5: he's not me but he's definitely and he just kind

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Speaker 5: of like stares at it when it comes near it.

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Speaker 4: He kind of like, what is this about?

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Speaker 1: Is this gonna last?

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Speaker 4: Yeah?

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Speaker 1: Well it's a good name, O sage. I like it.

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Speaker 2: I like it, especially with the new bow building stuff

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Speaker 2: you've been doing. Yep, it's a natural name.

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Speaker 1: That's good.

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Speaker 2: Well, welcome to the Bear Grease Render. We have a

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Speaker 2: I'm very excited today. We've got Josh Spielmaker with us,

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Speaker 2: Josh's wife, Christy with us.

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Speaker 1: Christy.

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Speaker 2: Christie's like the commentator you bring in for like real,

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Speaker 2: like when you need the heat, you know, when you

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Speaker 2: need the interrogation.

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Speaker 4: I got it.

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Speaker 2: Christie's there, Bear, John Newcomb's here, can see you, bear, doctor?

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Speaker 2: Mister Newcomb's here. Guest of honor, Anthony Ballard, Who is

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Speaker 2: the bear? What's your official title down in Mississippi?

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Speaker 3: Black Bear Program Leader, black Bear.

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Speaker 2: Program Leader for the Mississippi Department of Wildlife.

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Speaker 3: And Fisheries' that's a mouthful. Yeah. They couldn't think of

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Speaker 3: anything else to add to it. I guess they stop there. Yeah.

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Speaker 2: Well, man, it's so Anthony and I have a day

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Speaker 2: of history together. I was down in Mississippi back in

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Speaker 2: early March and went on a bear den study with

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Speaker 2: him of Mississippi yep. So we're going to talk a

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Speaker 2: ton about Mississippi Bears later, Okay, but first.

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Speaker 1: I just got back from the live tour.

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Speaker 6: He just flew in and boy or his arm's tired.

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Speaker 2: Yeah yeah, yeah from all the all the music playing man.

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Speaker 2: So Josh and Christy y'all came to the Anaheim show

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Speaker 2: we did which.

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Speaker 7: Not to not to I know you didn't like it, right.

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Speaker 2: Well, of all the shows, yeah, that was the the

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Speaker 2: smallest crowd. It was the smallest crowd in the and

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Speaker 2: the venue was kind of like to me, it was

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Speaker 2: like a cafeteria.

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Speaker 1: I felt like I was playing it like a cafeteria.

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Speaker 7: Like cabbatorium. Yeah, elementary and the cafeteria.

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Speaker 2: It was like people had those little separated plates and there,

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Speaker 2: and they were like janitors walking around.

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Speaker 1: Sha. No, it was.

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Speaker 2: It was a great venue. It was like a nice venue,

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Speaker 2: but it was modern. Probably seven of ten venues that

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Speaker 2: we went to were these like old theaters. The last

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Speaker 2: one we played in Tacoma two Nights Ago, was a

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Speaker 2: theater that had been built in nineteen fifteen. Oh wow,

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Speaker 2: just ornate. It just it looked like I don't even

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Speaker 2: know how to describe it. But you know the architectural

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Speaker 2: style of that time for these theaters, and they were built.

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Speaker 2: The theater held twelve hundred people, but it was like

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Speaker 2: super compact. Balcony was like right on the stage, and

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Speaker 2: they had these little uh boxes, little boxes, you.

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Speaker 1: Know, right here. And I roasted some of those guys.

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Speaker 1: I'll tell you about that. But most of most of

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Speaker 1: the theaters were like that.

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Speaker 2: The one that you got, So Josh Christy came to Anaheim, California. Yeah,

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Speaker 2: Josh played. Josh played the mandolin with Phil and I

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Speaker 2: I did.

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Speaker 6: It was great?

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Speaker 1: Yeah, And so did y'all have a good dild response.

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Speaker 7: Oh man, I had so much fun. I just I

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Speaker 7: don't you know, we get to go to like the

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Speaker 7: o goodness, what is it when we have it here?

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Speaker 7: The Black Bonanza Bonanza. It's just fun to get to

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Speaker 7: spend a day with like minded people, you know.

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Speaker 1: Big bear hunters like you.

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Speaker 7: Yeah, like the big bear hunters like me.

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Speaker 6: No.

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Speaker 7: I mean, I just love it. And I think I

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Speaker 7: was entertained from start to finish. Music was great, lots

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Speaker 7: of fun, and then just the stories and the way

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Speaker 7: the whole team talked and told stories. I just thought

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Speaker 7: it was. It went by really fast.

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Speaker 6: I love the people too, because you know you're you're

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Speaker 6: in Anaheim, California, which is basically la I hope I'm

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Speaker 6: not offending anybody from Anaheim, but it's basically.

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Speaker 3: La Creator and it's you.

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Speaker 6: Don't expect that there's going to be people who are

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Speaker 6: the demographic of what meat Eater is reaching out to.

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Speaker 6: But I mean seeing some of the folks that were there,

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Speaker 6: I mean guys that you would not expect to be

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Speaker 6: into deer hunting. I mean, it was. It was awesome, man,

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Speaker 6: it was. It was really really really cool the response

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Speaker 6: that people had, people doing their their best al hoots.

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Speaker 1: Yeah, it was.

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Speaker 6: It was no offense, but it was pretty rough.

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Speaker 1: It was pretty rough, Anthony. You would be you'd be

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Speaker 1: proud of your state.

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Speaker 2: Should I should be a representative, I should be on

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Speaker 2: the marketing team for Mississippi state whatever. Because everywhere I went,

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Speaker 2: we had we had an out hooting contest. We gave

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Speaker 2: away a genuine coonskin had at each one. It got

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Speaker 2: stronger the more the more I did it, Like I

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Speaker 2: told it the story more, but I said, I would

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Speaker 2: hoot for the people and I would say, Okay, these

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Speaker 2: are the things I'm looking for in a hoot cadence,

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Speaker 2: natural tone, volume, and trill at the end. And I said,

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Speaker 2: I'm going to hoot for you just to kind of

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Speaker 2: give you something to go off of. And I said,

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Speaker 2: if this contest were going on in Mississippi, and I

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Speaker 2: was in a room of you know, eight hundred people,

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Speaker 2: and I said, stand up if you want to out hoot,

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Speaker 2: you know, and.

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Speaker 1: Obviously you would only stand up if you thought you

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Speaker 1: had a chance.

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Speaker 2: Ants I told him, like I wouldn't stand up in Mississippi.

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Speaker 3: It's it is.

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Speaker 1: Yeah, are you a bart out hooter?

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Speaker 3: Yeah? I got asked to uh when I when we

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Speaker 3: did the d in check Actually, oh yeah, I came

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Speaker 3: with you.

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Speaker 6: Yeah, yeah, we heard And how was it, Clay?

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Speaker 1: It was? It was pretty good. He's no Lake Pickle,

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Speaker 1: but uh.

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Speaker 3: Look, I'll tell you this. Mine is just good enough

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Speaker 3: not to get ruthlessly ridiculed by the people that I

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Speaker 3: work and hunt with.

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Speaker 1: Yeah.

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Speaker 3: Yeah, it's barely over the threshold. There are some very

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Speaker 3: convincing how hooters in Mississippi.

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Speaker 2: Wo.

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Speaker 1: Yeah, So the ol hooton was a lot of fun.

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Speaker 2: Oh, let me tell you about my best so as

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Speaker 2: as the as the live tour went on. I didn't

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Speaker 2: realize it, but I have a great skill at roasting

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Speaker 2: people for their out hooting.

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Speaker 4: So as a live tour went on, he got increasingly Yeah.

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Speaker 2: Yeah, I got increasingly emboldened by the team mainly and

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Speaker 2: uh no. There was the fire night and Tacoma. There

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Speaker 2: was a So there's these people that are in the balconies.

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Speaker 2: I hope this guy's listening, because it really wasn't personal

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Speaker 2: I was gonna do. If he'd have been the best

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Speaker 2: out hooter in the room, I would have done this

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Speaker 2: to him. But early on in the in the deal,

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Speaker 2: I asked the people from the stage, like, hey.

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Speaker 1: How'd y'all get those fancy seats up there?

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Speaker 2: And one of the guys did his fingers like this,

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Speaker 2: his index finger and his h his pointer finger and his.

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Speaker 1: Thumb like money, like he paid for these seats. And

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Speaker 1: I was like, oh, I see what's going on.

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Speaker 2: When we did the al hoot and one of those guys,

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Speaker 2: not that guy, but a guy buy him stood up

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Speaker 2: to alhoot and I.

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Speaker 1: Was like, oh, okay, go ahead.

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Speaker 2: Called on him and he out hoots, and like I said,

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Speaker 2: I said, bro, you may have enough money to buy

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Speaker 2: a really good seat, but you ain't got enough money

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Speaker 2: to buy a chance of coming down here.

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Speaker 1: That is terrible, or you know, said something like that.

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Speaker 2: It wasn't quite that hard and all everybody just like erupted,

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Speaker 2: you know, but I totally roasted him. Sorry, buddy, if

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Speaker 2: you're out there, I didn't really mean it. You just

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Speaker 2: happened to be the guy.

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Speaker 7: So sitting out there is with a complex of clave

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Speaker 7: just being like, oh that's cute, go ahead and sit down.

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Speaker 7: Everyone else keep saying.

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Speaker 2: It yeah, yeah, yeah, yeah. Well I as the first

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Speaker 2: night that I actually like roasted some people. I came

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Speaker 2: back to the team and I was like, man, I

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Speaker 2: kind of felt bad. I hope those people aren't their

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Speaker 2: feelings aren't hurt, like being publicly humiliated, and they were

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Speaker 2: like keep doing it. So in the VIP line beforehand,

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Speaker 2: when I would meet really nice people that I liked,

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Speaker 2: I would be like, hey, are you gonna al hoot?

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Speaker 2: And a couple of them would be like yeah. I

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Speaker 2: was thinking about it. I was like, I'm probably gonna

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Speaker 2: be real mean to you. Just just be ready.

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Speaker 1: I just just just.

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Speaker 3: But honestly though, I mean like if you're gonna if

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Speaker 3: you're gonna stand up you'll put yourself out there. I mean,

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Speaker 3: you gotta be ready for it, yourself up a little bit.

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Speaker 1: People people got the vibe and it wasn't me. It

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Speaker 1: was a lot of fun. It was.

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Speaker 5: It was a ton of fun, especially for Clay, not

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Speaker 5: as much for the other average It was very funny.

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Speaker 7: Anyone on stage was having a great.

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Speaker 4: Yeah.

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Speaker 2: By the end of the tour, Ryan Callahan just jumped

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Speaker 2: up like it was like right beside me being like

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Speaker 2: he would be like, sit down.

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Speaker 1: It was great. It was great.

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Speaker 2: But probably the most the most the best thing that

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Speaker 2: happened on the entire live tour was I was approached

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Speaker 2: by a professional ferrier oh on tour in Tacoma, Washington,

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Speaker 2: and he he comes up to me and he says, Clay,

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Speaker 2: I'm a professional fairer, been af fair for twenty five years.

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Speaker 2: And he said, I've it's it's come to my attention

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Speaker 2: that how much public ridicule that you get. I thought

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Speaker 2: you need help by ferriers when you show your mule

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Speaker 2: trim and stuff online. And he said, now, Clay, I'm

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Speaker 2: really critical of fairiers and I have some input for you.

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Speaker 2: And I was like, here we go. Place turned to

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Speaker 2: get roasted Clay's turned to get roasted and he said,

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Speaker 2: now I'm not just saying this because I'm standing here

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Speaker 2: looking at you, I mean convincing little pream that he

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Speaker 2: was about to give it to me straight and he said,

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Speaker 2: mark this down, all of you people out there. He said,

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Speaker 2: your your your methods are unconventional, but you actually do

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Speaker 2: a really good job of triming meal feet.

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Speaker 4: Oh okay, okay.

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Speaker 2: And so the unconventional methods was a little bit of

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Speaker 2: a like, you know, you're not doing it exactly right,

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Speaker 2: but the end product.

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Speaker 6: So if you were to weigh your skill between being

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Speaker 6: a ferrier or operating a dozer, that's what I say,

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Speaker 6: where would you feel like the strength would lie equal.

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Speaker 5: Unconventional method I was going to say, job, Clay, he's

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Speaker 5: been home less than twenty four hours. I've heard that twice. Now,

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Speaker 5: well I've already heard this twice. Like the bulldozer, it was,

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Speaker 5: he doesn't know what kind of monster he's unleashed.

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Speaker 1: The guy.

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Speaker 2: Uh he he said, Clay, I have a gift for you,

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Speaker 2: and they wouldn't let him bring it in the theater.

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Speaker 1: These theaters they're like frisking.

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Speaker 2: People, like wanding them, you know, making sure they don't

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Speaker 2: have guns and stuff, and people brought guns.

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Speaker 1: To the shows.

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Speaker 6: Yeah, and when you come in the back, so.

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Speaker 2: He was like, uh, it's like, I got some stuff

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Speaker 2: I want to give you. And I was like, meet

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Speaker 2: me at the bus after and so we met out

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Speaker 2: and he gave me, uh, two hoof knives, a very

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Speaker 2: nice set of refurbished professional nippers. Okay, he was pretty

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Speaker 2: disappointed with my nippers. Okay, so he gave me some

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Speaker 2: nippers and then he gave me a brand new rasp. So,

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Speaker 2: oh yeah, I've forbade Baron Nucombe from ever touching that rasp.

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Speaker 6: Bear.

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Speaker 2: I don't know what it is about, bear, but if

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Speaker 2: there's a rasp around, the boy is just like, stay

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Speaker 2: away from my rasp.

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Speaker 1: Okay.

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Speaker 2: I just bought a new one for making bos, so

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Speaker 2: you can stay away from.

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Speaker 1: That one too. So anyway, that was probably the best

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Speaker 1: thing that happened on the live tour.

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Speaker 4: It was you got some affirmation aside.

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Speaker 2: From launching my career as a traveling musician. I mean,

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Speaker 2: after like a week, I felt like Merle Haggard. I

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Speaker 2: mean I woke up and I thought about the music.

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Speaker 2: Just the passion overtook me. Wow, I just woke up.

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Speaker 2: I was Merle Haggard on that tour. So anyway, I'm

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Speaker 2: waiting for the calls to come in.

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Speaker 7: You know, show opener play Newcombe.

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Speaker 6: I thought the music was great. I mean not just

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Speaker 6: because I was playing with you when I was there, well,

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Speaker 6: but I thought the music was great.

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Speaker 2: We played, We ended up playing a with with the

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Speaker 2: some real professional musicians. Oddly. Uh yeah, so it's the

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Speaker 2: band Typhoon. So Steve likes the band Typhoon, which I'd

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Speaker 2: never heard of him.

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Speaker 1: Uh, they're from Portland. Oh. I got lots of stories, and.

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Speaker 2: Steve messaged them like the day of the show, and

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Speaker 2: it was like, hey, do y'all want to come play

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Speaker 2: music with Clay and Phil and Marco?

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Speaker 1: And they were able.

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Speaker 6: To Marco start playing with you.

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Speaker 1: Yeah, Marco started playing the drum.

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Speaker 2: And so anyway, this professional, these professional musicians came and

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Speaker 2: they practiced one time, we played through the song two

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Speaker 2: times and then they got on stage with us and.

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Speaker 1: The word on the street.

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Speaker 2: Uh, she didn't say it to my face, but yeah,

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Speaker 2: I don't blame her. I don't blame her all. I

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Speaker 2: kind of so. The the the fiddle player wonderful, very sweet, lady,

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Speaker 2: incredible musician. She was supposed to I was supposed to

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Speaker 2: kind of like lead and there's some like chord changes,

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Speaker 2: kind of like freestyle, and she's gonna fiddle, and I

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Speaker 2: messed her up. I messed her up. So her part

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Speaker 2: like uh. She told Shannon, if you're listening to this,

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Speaker 2: don't be embarrassed.

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Speaker 1: This is great. I loved what you said.

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Speaker 2: She told Steve that my literally the same day as

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Speaker 2: the Farrier, she said, plays a little hard to follow.

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Speaker 1: Unconventional.

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Speaker 2: Literally, because I told that to Steve or now about

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Speaker 2: my mule trimming, and he said she said the same

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Speaker 2: thing about yours.

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Speaker 3: To be a T shirt like unconventional.

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Speaker 1: Exactly.

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Speaker 4: Yeah, I can I can echo that.

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Speaker 5: Having played with Clay a lot, I can echo he unconventional.

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Speaker 1: You know what, me and Merle may have been a

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Speaker 1: little unconvention Yeah, you and Merle? Yeah, okay, enough about

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Speaker 1: the live tour. You have a new website.

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Speaker 4: I have a new website. Yes.

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Speaker 1: It was just stumbling around on the internet yesterday and you.

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Speaker 4: Just came across it.

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Speaker 1: Yeah.

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Speaker 3: What are the chances?

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Speaker 4: Yeah, what are the chances?

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Speaker 1: So what is what is your about?

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Speaker 5: Well, so, for for a long time, We've had this

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Speaker 5: Instagram that was just sort of an overflow of like

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Speaker 5: the hobbies that I have, gardening, cooking, things like that.

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Speaker 5: And but that's not a lot of people know me

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Speaker 5: from that Instagram page, and there's.

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Speaker 4: Like a whole lot of misty that's not included in there.

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Speaker 5: In fact, I would say that that Instagram page got

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Speaker 5: really popular during my while I was writing my dissertation

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Speaker 5: because it was a welcome wait, procrastinate, yeah, from writing

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Speaker 5: the dissertation. So it was probably really hoppin' uh during

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Speaker 5: that time. But you know, over the last couple of months,

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Speaker 5: I graduated about a year ago now and finished school,

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Speaker 5: and I've had a little more time to do some

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Speaker 5: of the things.

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Speaker 6: That I love and being your PhD. Not high school.

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Speaker 4: Yeah, no, I did not graduate high school a year ago.

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Speaker 1: I did graduate high school.

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Speaker 4: I did graduate high school. But I graduated college with

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Speaker 4: a PhD a year ago.

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Speaker 5: And and so since that time, I've been able to

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Speaker 5: do like writing for pleasure or reading for pleasure instead

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Speaker 5: of just you know, on assignment, and that has.

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Speaker 2: When you're when you coon hunt and not in a

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Speaker 2: competition hunt, they call it pleasure hunting.

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Speaker 4: Okay, Yeah, So I'm pleasure writing. Yeah, yeah, got it

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Speaker 4: and so h So anyway, so I get asked.

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Speaker 5: Questions all the time I've been writing, having a lot

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Speaker 5: of fune in that, and decided to put together some

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Speaker 5: of like all of these things that this is misty, unfiltered.

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Speaker 1: Oh wow, social social commentary.

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Speaker 5: So the so there's three parts of it. There's perspectives

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Speaker 5: that's more like social commentary. Those are like deep dives.

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Speaker 5: It's not something you read on a weeknight. It's something

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Speaker 5: you like on the weekend when you've got some time.

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Speaker 5: They're ten to fifteen minute reads. Yeah, they're deep dives

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Speaker 5: into research on different topics that I think impact families,

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Speaker 5: which is the main thing that I've spent my life doing.

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Speaker 2: What are the what are the three things that are

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Speaker 2: on the website? So that's the first home career. Yeah.

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Speaker 4: Yeah.

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Speaker 1: And then just say it's skeeared more towards women.

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Speaker 4: I think that women.

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Speaker 5: Well, I mean I wouldn't not necessarily, I wouldn't say that. Yeah,

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Speaker 5: I wouldn't say that. I think if you're into it's

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Speaker 5: geared towards I would say it's s geared more towards

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Speaker 5: people raising a family. It's definitely geared towards people who

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Speaker 5: are like in the thick of raising kids.

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Speaker 2: In some of the topics that you would have on

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Speaker 2: here that you have right now, you have an article

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Speaker 2: on why boys are underperforming in school, which is like

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Speaker 2: really interesting.

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Speaker 1: Yeah, I mean, like at a.

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Speaker 2: Lot of research based stuff about school system about education

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Speaker 2: systems in the way.

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Speaker 1: Yeah, very interesting.

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Speaker 5: Yeah, we noticed a while back at at the school

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Speaker 5: I'm the superintendent of we have like bears about to

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Speaker 5: graduate and his class I think your class is is

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Speaker 5: it seventy percent mail? The class before you is seventy

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Speaker 5: five percent Chef's class was ninety percent mail. So we

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Speaker 5: were trying to figure out why are all these boys

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Speaker 5: coming to our school, like why is and and part

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Speaker 5: of the reason was because some of the different things

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Speaker 5: that we were doing at the school, you know, boys

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Speaker 5: were able to be a little bit more successful, and

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Speaker 5: overall they're not doing great. And so that's really a

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Speaker 5: reflection of just kind of the trial and era of

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Speaker 5: the last twelve years trying to figure out how to

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Speaker 5: get these guys through the school system. But we've got

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Speaker 5: a bunch of girls right behind them.

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Speaker 2: Now, So in you've got an article here about meat.

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Speaker 5: Yeah, so it's it's not just about like social issues,

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Speaker 5: but it's a meat's kind of a controversial topic right now.

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Speaker 5: A lot of people are talking about, you know that

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Speaker 5: it's killing the planet and it's not good for you,

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Speaker 5: and that's not true.

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Speaker 1: Got some book reviews on here.

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Speaker 4: Get some book reviews.

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Speaker 1: Yeah.

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Speaker 4: So there's three types of articles. There's the perspectives, which

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Speaker 4: are the deep dives.

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Speaker 5: There's short form stuff for just families trying to get

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Speaker 5: through the week. If you look, there's a section called

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Speaker 5: Home and Garden. It may eventually be split up into

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Speaker 5: two sections, but it's assuming that most families don't have

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Speaker 5: time to every day read a long article, but also

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Speaker 5: might want some helpful, constructive trip tips for doing things

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Speaker 5: like we've done it, like with eating kind of healthy

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Speaker 5: and wholesome.

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Speaker 4: It kind of takes a.

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Speaker 1: Little bit of time.

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Speaker 4: Yeah, the bit you can read.

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Speaker 5: About that in the article or listen on Clay's podcast

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Speaker 5: about the Big Five. But if you're trying to do that,

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Speaker 5: it's hard, and it's especially hard if you have a

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Speaker 5: job and you don't like devote your life to milling

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Speaker 5: your own wheat, because you know, some people do, but

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Speaker 5: not every We didn't, and so it's just kind of

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Speaker 5: like practical tips, and that's usually like punchy lists. That's

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Speaker 5: mainly what you'll find in that section.

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Speaker 1: Is there a section on there for me?

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00:21:54,840 --> 00:21:56,600
Speaker 4: Would you like to co author some stuff?

443
00:21:56,640 --> 00:21:56,880
Speaker 1: Clay?

444
00:21:57,240 --> 00:21:59,080
Speaker 4: Okay, give me some examples.

445
00:21:58,800 --> 00:22:02,520
Speaker 5: Of things dooser section, but Ferrier, Yeah, I feel like

446
00:22:02,600 --> 00:22:03,360
Speaker 5: that's relevant to.

447
00:22:03,320 --> 00:22:04,600
Speaker 4: Most people raising the family.

448
00:22:04,880 --> 00:22:09,400
Speaker 2: Yeah, well, so that's the the new Conform dot.

449
00:22:09,200 --> 00:22:10,840
Speaker 4: Com, the new Conform dot Com.

450
00:22:10,880 --> 00:22:12,560
Speaker 1: That's that's good. I like it.

451
00:22:12,760 --> 00:22:13,000
Speaker 2: Yeah.

452
00:22:13,400 --> 00:22:17,440
Speaker 1: Uh, bear, you finished up your auction bow. Yep.

453
00:22:17,880 --> 00:22:21,080
Speaker 2: I've got a few little details left, but I'm right

454
00:22:21,119 --> 00:22:23,080
Speaker 2: now shooting it and.

455
00:22:22,920 --> 00:22:24,040
Speaker 6: Uh breaking it in.

456
00:22:24,160 --> 00:22:26,760
Speaker 1: Yeah, tell me, because what's what's it made of?

457
00:22:26,880 --> 00:22:26,960
Speaker 2: Like?

458
00:22:27,040 --> 00:22:30,200
Speaker 1: Tell me? Made of horn beam, which is like a

459
00:22:31,000 --> 00:22:31,360
Speaker 1: it's not.

460
00:22:31,320 --> 00:22:34,679
Speaker 2: A very They have that down in Mississippi.

461
00:22:34,680 --> 00:22:36,080
Speaker 3: They pretty common.

462
00:22:36,359 --> 00:22:39,160
Speaker 2: Yeah, I've never even heard of it until I got

463
00:22:39,160 --> 00:22:43,000
Speaker 2: this stave, but hop horn beam and it's got water

464
00:22:43,040 --> 00:22:47,840
Speaker 2: buffalo horn tip overlays where the string wraps around the.

465
00:22:48,520 --> 00:22:52,760
Speaker 6: Those native Darkansas.

466
00:22:51,240 --> 00:22:52,640
Speaker 1: Traveled to Australia. Yep.

467
00:22:53,520 --> 00:22:59,640
Speaker 2: Nice, it's got coon hide, arrow rest on it, beaver silencers,

468
00:23:00,080 --> 00:23:00,960
Speaker 2: wide oak candle.

469
00:23:01,760 --> 00:23:04,720
Speaker 1: Uh. It's forty five pounds at twenty eight inches. Good

470
00:23:04,760 --> 00:23:05,200
Speaker 1: looking bow.

471
00:23:05,600 --> 00:23:08,359
Speaker 2: So we're gonna ship that out real soon to the

472
00:23:08,440 --> 00:23:12,239
Speaker 2: to the auction winner. It wasn't finished like he started it,

473
00:23:12,280 --> 00:23:15,040
Speaker 2: like right when we when we put it up for auction.

474
00:23:15,200 --> 00:23:17,000
Speaker 1: Yep, so guy's going to get that bow.

475
00:23:17,560 --> 00:23:20,320
Speaker 3: One of the common woods that was used back by

476
00:23:20,359 --> 00:23:22,400
Speaker 3: the Native Americans was osage orange.

477
00:23:22,440 --> 00:23:27,040
Speaker 2: So yeah, yeah, next time you can named after very nice.

478
00:23:27,200 --> 00:23:30,760
Speaker 1: Yeah we now do. Y'all have osage downe in South Mississippi.

479
00:23:31,040 --> 00:23:31,640
Speaker 3: Most of the state.

480
00:23:31,720 --> 00:23:34,399
Speaker 2: Yeah, really, okay, yeah, we have it here too, but

481
00:23:34,480 --> 00:23:37,080
Speaker 2: it's kind of on the It feels like it's on

482
00:23:37,119 --> 00:23:39,960
Speaker 2: the edge of its range because there's directions you can

483
00:23:39,960 --> 00:23:41,120
Speaker 2: go from here where there's.

484
00:23:40,920 --> 00:23:43,000
Speaker 1: Not a lot of it. But yeah, yeah, we have

485
00:23:43,080 --> 00:23:44,320
Speaker 1: some osa George.

486
00:23:44,400 --> 00:23:47,159
Speaker 4: Ye Bear John is also about to graduate high school.

487
00:23:47,280 --> 00:23:51,399
Speaker 5: He's a week away from graduating and he has spent

488
00:23:51,480 --> 00:23:55,120
Speaker 5: the last quarter of his school experience a little bit

489
00:23:55,440 --> 00:23:58,640
Speaker 5: has been a little non traditional. Bear saved up when

490
00:23:58,720 --> 00:24:00,639
Speaker 5: you at the beginning of the year, they published the

491
00:24:00,720 --> 00:24:03,240
Speaker 5: parent handbooks and the student handbooks and they say, you know,

492
00:24:03,280 --> 00:24:05,800
Speaker 5: if you miss more than this amount, you will be

493
00:24:05,880 --> 00:24:08,840
Speaker 5: reported through it. What Bear did is he said, okay,

494
00:24:08,840 --> 00:24:11,160
Speaker 5: so that's the amount I can miss for Turkey season

495
00:24:15,000 --> 00:24:20,080
Speaker 5: spread and he comes out of the woods for like,

496
00:24:20,320 --> 00:24:22,000
Speaker 5: you know, this is the time of year where there's

497
00:24:22,040 --> 00:24:25,639
Speaker 5: a lot of senior banquets or presentations or things like that.

498
00:24:25,920 --> 00:24:29,439
Speaker 5: So he has spent the last month, uh, basically living

499
00:24:29,720 --> 00:24:32,720
Speaker 5: in the woods, coming out for class. You know, he's

500
00:24:32,800 --> 00:24:36,120
Speaker 5: he's got a lighter schedule and he's taking some community

501
00:24:36,119 --> 00:24:38,399
Speaker 5: college classes as well. So he'll come out and do

502
00:24:38,480 --> 00:24:41,080
Speaker 5: his online classes for a little bit and then retreat

503
00:24:41,119 --> 00:24:43,280
Speaker 5: back into the woods, come out for a presentation.

504
00:24:43,480 --> 00:24:55,760
Speaker 7: And do you recommend.

505
00:24:52,280 --> 00:24:53,680
Speaker 6: Let's come back to cicadas here?

506
00:24:53,760 --> 00:24:55,880
Speaker 1: Well, I know they can talk about it. Yeah, it's

507
00:24:55,880 --> 00:24:58,600
Speaker 1: all the raves cicadas, but you could.

508
00:24:58,440 --> 00:25:00,919
Speaker 6: Call that dog people are cooking with cicadas. Have you

509
00:25:00,960 --> 00:25:01,159
Speaker 6: heard that?

510
00:25:01,280 --> 00:25:01,520
Speaker 2: I had?

511
00:25:01,560 --> 00:25:03,800
Speaker 5: I read an article yesterday in New York Times. Yes,

512
00:25:03,840 --> 00:25:05,199
Speaker 5: definitely not something I'm interested in.

513
00:25:05,240 --> 00:25:08,000
Speaker 6: They say it's they say it's related to a shrimp.

514
00:25:08,440 --> 00:25:10,960
Speaker 6: They say, John.

515
00:25:10,760 --> 00:25:14,000
Speaker 1: The Baptist had it figured out the whole he knew

516
00:25:14,040 --> 00:25:15,240
Speaker 1: what was Huh.

517
00:25:15,359 --> 00:25:18,760
Speaker 5: I've had a cricket bar before, like a like an

518
00:25:18,880 --> 00:25:23,080
Speaker 5: energy bar made out of crickets.

519
00:25:21,520 --> 00:25:24,679
Speaker 6: Like a like all these crickets sitting around drinking.

520
00:25:24,880 --> 00:25:28,600
Speaker 5: Yeah, no, oh, I know it wasn't great, but anyway,

521
00:25:28,720 --> 00:25:31,400
Speaker 5: so bears had a he said, a pretty adventures. Brought

522
00:25:31,440 --> 00:25:32,560
Speaker 5: home a turkey.

523
00:25:32,840 --> 00:25:39,080
Speaker 2: Yep, big turkey, Yep, big one, Anthony, How long have

524
00:25:39,160 --> 00:25:44,320
Speaker 2: you been the Bear program coordinator down leader, leader.

525
00:25:44,280 --> 00:25:49,160
Speaker 3: Leader Tomato tomatow. So I've joined the agency in twenty

526
00:25:49,280 --> 00:25:52,600
Speaker 3: fifteen and then went over to the bear stuff back

527
00:25:52,600 --> 00:25:55,359
Speaker 3: in the early parts of twenty twenty three. And so

528
00:25:55,400 --> 00:25:56,240
Speaker 3: it's been just over a year.

529
00:25:56,240 --> 00:25:57,520
Speaker 1: And did you go to school in Mississippi?

530
00:25:57,600 --> 00:25:59,400
Speaker 3: I did, Yeah, MISSOSISI State University.

531
00:25:59,440 --> 00:26:00,760
Speaker 1: I knew you went Mississippi State.

532
00:26:00,920 --> 00:26:02,680
Speaker 3: And then I've.

533
00:26:02,000 --> 00:26:04,600
Speaker 2: Learned a little bit about being in Mississippi, about the

534
00:26:04,720 --> 00:26:08,440
Speaker 2: nuance difference between Mississippi State and uh.

535
00:26:10,480 --> 00:26:13,560
Speaker 1: Mississippi. What's the school up north?

536
00:26:13,840 --> 00:26:16,760
Speaker 3: So it's probably one of the most bitter rivalries in

537
00:26:16,800 --> 00:26:21,119
Speaker 3: the Southeastern United States. Yeah, top five in the country probably. Yeah,

538
00:26:21,359 --> 00:26:25,480
Speaker 3: so it's it's it's uh, well, we had a football

539
00:26:25,480 --> 00:26:27,119
Speaker 3: coach that actually wouldn't he just called it the school

540
00:26:27,200 --> 00:26:27,560
Speaker 3: up North.

541
00:26:28,000 --> 00:26:35,280
Speaker 2: But yeah, it's Mississippi, no miss That's what I was

542
00:26:35,400 --> 00:26:36,119
Speaker 2: very clear cut.

543
00:26:36,240 --> 00:26:37,800
Speaker 1: Yeah, that's what I was reaching for.

544
00:26:37,840 --> 00:26:42,600
Speaker 3: You're either one or the other, yeah, yeahs.

545
00:26:41,720 --> 00:26:46,160
Speaker 2: I yeah, I won't name any names, but uh, somebody

546
00:26:46,280 --> 00:26:50,560
Speaker 2: gave me Lake. That gave me a lot of insight

547
00:26:51,200 --> 00:26:52,919
Speaker 2: and how you could pick out of a room who

548
00:26:53,000 --> 00:26:55,040
Speaker 2: went to Mississippi State and who went to Old Miss.

549
00:26:55,040 --> 00:26:58,600
Speaker 3: Oh yeah, well, I mean in the wildlife department, you know,

550
00:26:58,600 --> 00:27:01,440
Speaker 3: in that profession. You know, Missippi State has one of

551
00:27:01,520 --> 00:27:05,200
Speaker 3: the most respected wilde programs. It's bag engineering and then

552
00:27:05,359 --> 00:27:07,560
Speaker 3: there's wildlife kind of mixed in with that. And so

553
00:27:07,960 --> 00:27:10,000
Speaker 3: you know, if you're going to be basically the kind

554
00:27:10,040 --> 00:27:12,080
Speaker 3: of the stereotype is if you're going to be you know,

555
00:27:12,119 --> 00:27:15,280
Speaker 3: a doctor or lawyer, you know, golf player, that kind

556
00:27:15,280 --> 00:27:17,639
Speaker 3: of thing, good Old Miss. And then if you're going

557
00:27:17,680 --> 00:27:21,720
Speaker 3: to be you know, one of those that's a farmer, engineer, hunter,

558
00:27:21,760 --> 00:27:24,399
Speaker 3: agriculture that that kind of crowd, that's more of a

559
00:27:24,400 --> 00:27:25,399
Speaker 3: Missippi State thing.

560
00:27:25,359 --> 00:27:26,280
Speaker 1: Go to Missippi State.

561
00:27:26,840 --> 00:27:28,800
Speaker 2: I want to know that on the Bear Grease podcast

562
00:27:28,880 --> 00:27:34,240
Speaker 2: that we are equal opportunity, equal opportunity miss Mississippi College.

563
00:27:34,520 --> 00:27:38,000
Speaker 2: You know, nothing against Old Miss. But uh, but you

564
00:27:38,040 --> 00:27:38,960
Speaker 2: went to Mississippi State.

565
00:27:39,000 --> 00:27:42,640
Speaker 1: I did. So you you got a degree in wildie biology.

566
00:27:42,200 --> 00:27:44,680
Speaker 3: Then yeah, wildife in fisher science and then went to

567
00:27:45,000 --> 00:27:48,000
Speaker 3: University of Louisiana at Monroe from a master's.

568
00:27:47,720 --> 00:27:51,360
Speaker 1: Okay, what you study in your masters so cicadas?

569
00:27:52,280 --> 00:27:55,879
Speaker 3: No, I actually study wild hogs. We were doing a

570
00:27:55,920 --> 00:27:59,240
Speaker 3: research project in southeastern Louisiana, like kind of southwest of

571
00:27:59,280 --> 00:28:02,560
Speaker 3: Homer in uh Terrebone Parish, and so we did some

572
00:28:02,600 --> 00:28:05,240
Speaker 3: aerial transects down there and looked at some remote sensing stuff.

573
00:28:05,640 --> 00:28:08,480
Speaker 3: And so when I first got hired on, that was

574
00:28:08,520 --> 00:28:10,320
Speaker 3: the position that I went into, was as the nuisance

575
00:28:10,320 --> 00:28:13,160
Speaker 3: species biologist. Okay, so I did wild hog work there

576
00:28:13,200 --> 00:28:16,480
Speaker 3: for you know, essentially my whole career except for these

577
00:28:16,560 --> 00:28:20,880
Speaker 3: this last year. And then our our bear guy retired

578
00:28:21,320 --> 00:28:24,320
Speaker 3: in November of twenty two, and then I was able

579
00:28:24,359 --> 00:28:26,480
Speaker 3: to come back over or come over to the bear

580
00:28:26,520 --> 00:28:27,320
Speaker 3: program after that.

581
00:28:27,520 --> 00:28:30,160
Speaker 2: Let me go back to your masters on hogs. How

582
00:28:30,240 --> 00:28:33,760
Speaker 2: what would the abstract on an academic paper that you'd

583
00:28:33,800 --> 00:28:36,120
Speaker 2: have written about hogs say about your research?

584
00:28:36,200 --> 00:28:37,400
Speaker 1: Like what did you learn?

585
00:28:37,560 --> 00:28:42,200
Speaker 3: So essentially, what the main reason for the project was

586
00:28:42,200 --> 00:28:44,880
Speaker 3: was to look at number one, was it feasible to

587
00:28:45,000 --> 00:28:47,320
Speaker 3: run aerial transsects? And then what's that?

588
00:28:47,480 --> 00:28:47,720
Speaker 1: Don't know?

589
00:28:48,560 --> 00:28:51,000
Speaker 3: Okay, So basically what got in helicopter and flew straight

590
00:28:51,040 --> 00:28:53,360
Speaker 3: lines in a grid pattern across the you know, the

591
00:28:53,640 --> 00:28:58,120
Speaker 3: study area, and we had on board avionics that would

592
00:28:58,120 --> 00:29:02,040
Speaker 3: actually trace out the hog damage into a polygon. And

593
00:29:02,080 --> 00:29:04,840
Speaker 3: then of course with that polygon, then you could calculate

594
00:29:04,880 --> 00:29:07,520
Speaker 3: the area and then extrapolate what the hog damage might

595
00:29:07,560 --> 00:29:08,960
Speaker 3: be over that entire Stuy.

596
00:29:09,000 --> 00:29:11,840
Speaker 6: Wow, Oh, so you just taking.

597
00:29:11,040 --> 00:29:14,320
Speaker 2: A sampling of hog damage and then extrapolating it out

598
00:29:14,360 --> 00:29:17,320
Speaker 2: to try to understand how much damage hogs you're doing, Yeah,

599
00:29:17,440 --> 00:29:20,400
Speaker 2: kind of based on like habitat that was similar.

600
00:29:21,080 --> 00:29:22,520
Speaker 3: Yeah, and then we would also we kind of took

601
00:29:22,560 --> 00:29:25,840
Speaker 3: that step further and also looked at remote sensing. So

602
00:29:25,840 --> 00:29:28,880
Speaker 3: there's a lot of remote sensing software out there. You

603
00:29:28,920 --> 00:29:33,080
Speaker 3: can get satellite imagery and then you're essentially training that

604
00:29:33,200 --> 00:29:37,240
Speaker 3: program to pick out what you deem as in this case,

605
00:29:37,400 --> 00:29:39,800
Speaker 3: hog damage, It could be any feature, and then it

606
00:29:39,840 --> 00:29:43,760
Speaker 3: takes those values and based on what you've taught it,

607
00:29:43,760 --> 00:29:46,800
Speaker 3: it will spit out an estimate, an estimation of how

608
00:29:46,840 --> 00:29:48,760
Speaker 3: much hog damage is in that area, and then you

609
00:29:48,760 --> 00:29:52,960
Speaker 3: compare the two and so kind of synopsis of it

610
00:29:53,080 --> 00:29:55,840
Speaker 3: was the remote sensing part of it. There was too

611
00:29:55,920 --> 00:29:58,680
Speaker 3: much You couldn't account for the texture in the ground,

612
00:29:58,760 --> 00:30:00,760
Speaker 3: so you could account for the color and the shading

613
00:30:00,800 --> 00:30:03,040
Speaker 3: and that kind of stuff, but it would often get it,

614
00:30:03,320 --> 00:30:06,640
Speaker 3: you know, confused with things like mudflats. So you know,

615
00:30:06,720 --> 00:30:10,080
Speaker 3: from satellite imagery, what's the difference between a mud flat

616
00:30:10,480 --> 00:30:14,440
Speaker 3: and disturbed soil from hawks? There's not much other than

617
00:30:14,440 --> 00:30:18,240
Speaker 3: the texturing, and so you know, clouds, shadows from clouds

618
00:30:18,280 --> 00:30:20,360
Speaker 3: and that kind of thing would interfere. So it was

619
00:30:20,480 --> 00:30:22,520
Speaker 3: it was kind of an imperfect thing. And you know,

620
00:30:22,840 --> 00:30:26,280
Speaker 3: there possibility didn't work. It didn't work great. So the

621
00:30:26,640 --> 00:30:29,720
Speaker 3: remote sensing would always overestimate the amount of damage there

622
00:30:29,880 --> 00:30:32,560
Speaker 3: simply because it would it would factor in all that

623
00:30:32,600 --> 00:30:35,160
Speaker 3: other stuff and add it to you know, and and

624
00:30:35,200 --> 00:30:36,680
Speaker 3: kind of artificially inflate that number.

625
00:30:36,880 --> 00:30:39,240
Speaker 7: But the other transsection what'd you call it?

626
00:30:39,640 --> 00:30:43,760
Speaker 3: Trans Yeah, the transects, that was better. It was better, yeah,

627
00:30:43,800 --> 00:30:46,400
Speaker 3: because you know, essentially, if you if you run your

628
00:30:46,440 --> 00:30:49,200
Speaker 3: transects correctly, you're going to get a pretty good sample

629
00:30:49,520 --> 00:30:52,080
Speaker 3: of you know, a pretty good representation of what that

630
00:30:52,120 --> 00:30:54,440
Speaker 3: study area looks like. And then you can take that

631
00:30:54,520 --> 00:30:56,680
Speaker 3: and you know, of course nothing's perfect, but she's can't

632
00:30:56,720 --> 00:30:57,600
Speaker 3: get a pretty good idea.

633
00:30:58,000 --> 00:31:00,920
Speaker 7: Well, this really makes me think of when we shift

634
00:31:00,960 --> 00:31:04,080
Speaker 7: to bears, the studies Steve Ronella talks about on the

635
00:31:04,120 --> 00:31:08,320
Speaker 7: live tour of how you can correlate bigfoot sightings and

636
00:31:08,400 --> 00:31:11,120
Speaker 7: black bear populations and it'd be interested in how that

637
00:31:11,160 --> 00:31:12,440
Speaker 7: works in Mississippi, Jo.

638
00:31:14,000 --> 00:31:14,600
Speaker 3: Talking about that.

639
00:31:15,840 --> 00:31:22,880
Speaker 2: Yeah, Yeah, apparently there's some real research about correlating what

640
00:31:23,000 --> 00:31:26,360
Speaker 2: people in a region think about bigfoot and extrapolating that

641
00:31:26,400 --> 00:31:29,240
Speaker 2: out into their black bear populations. And there's some pretty

642
00:31:29,240 --> 00:31:32,680
Speaker 2: strong correlations. And basically it has to do with habitat,

643
00:31:32,760 --> 00:31:34,960
Speaker 2: like wherever you can't see very.

644
00:31:34,840 --> 00:31:37,360
Speaker 6: Far bear wants to be, a sasquatch wants to be.

645
00:31:38,080 --> 00:31:43,400
Speaker 2: Yeah, pretty interesting study. And so you've been the bear

646
00:31:43,520 --> 00:31:47,760
Speaker 2: lead for just like less than two years. Yep, right on,

647
00:31:48,440 --> 00:31:52,280
Speaker 2: So describe do you think most people would be surprised

648
00:31:52,360 --> 00:31:54,440
Speaker 2: to learn that there are bears in Mississippi?

649
00:31:54,600 --> 00:31:56,520
Speaker 3: Most people are, well, I say most a lot of

650
00:31:56,520 --> 00:31:57,920
Speaker 3: people are still surprised to.

651
00:31:57,880 --> 00:31:59,280
Speaker 1: Learn that, like in Mississippi.

652
00:31:59,320 --> 00:32:02,240
Speaker 3: In Mississippi, Yeah, And that was one thing that really

653
00:32:02,280 --> 00:32:04,680
Speaker 3: struck me whenever I first kind of took the program over.

654
00:32:04,800 --> 00:32:07,680
Speaker 3: And you know, people don't realize we've been doing bear

655
00:32:07,680 --> 00:32:11,040
Speaker 3: research in Mississippi for twenty years now. The bear program

656
00:32:11,120 --> 00:32:13,000
Speaker 3: kind of went from the Museum where it was that

657
00:32:13,000 --> 00:32:15,440
Speaker 3: deals with a lot of the kind of endangered species

658
00:32:15,480 --> 00:32:17,480
Speaker 3: and you know, reptiles and amphibians, that kind of thing.

659
00:32:18,000 --> 00:32:20,800
Speaker 3: And then when it went over to Wildlife in two

660
00:32:20,840 --> 00:32:23,880
Speaker 3: thousand and two and it was under the Wildlife and

661
00:32:23,920 --> 00:32:27,480
Speaker 3: Fisheries umbrella. You know, we continue that research on and

662
00:32:27,840 --> 00:32:31,400
Speaker 3: we've been doing you know, research collering and genetic analysis

663
00:32:31,400 --> 00:32:33,840
Speaker 3: and all that for twenty years in the state. And

664
00:32:34,680 --> 00:32:37,600
Speaker 3: I would say a pretty good majority, but pretty good

665
00:32:37,640 --> 00:32:40,080
Speaker 3: percentage of the population don't know that we have black

666
00:32:40,120 --> 00:32:41,000
Speaker 3: bears in the state at all.

667
00:32:41,520 --> 00:32:47,480
Speaker 2: Right, So the big story of Mississippi bears, which a

668
00:32:47,480 --> 00:32:50,040
Speaker 2: lot of people that would have listened to our whole

669
00:32:50,080 --> 00:32:53,640
Speaker 2: Collier series we did about two septembers ago. You know,

670
00:32:54,320 --> 00:32:57,840
Speaker 2: in the in the late eighteen hundreds, much of the

671
00:32:57,840 --> 00:33:01,280
Speaker 2: Mississippi Delta would have been a wilderness in a way

672
00:33:01,360 --> 00:33:05,280
Speaker 2: until the railroads came in. Big swamps and naturally very

673
00:33:05,360 --> 00:33:09,120
Speaker 2: productive bear habitat. I mean, some of the as productive

674
00:33:09,120 --> 00:33:12,320
Speaker 2: as anywhere in the country really would have been the

675
00:33:13,800 --> 00:33:15,320
Speaker 2: southeastern part of the United States.

676
00:33:15,560 --> 00:33:16,960
Speaker 3: So I mean, if you're going to take the President

677
00:33:17,000 --> 00:33:19,720
Speaker 3: of the United States hunting somewhere, that'll be a pretty

678
00:33:19,760 --> 00:33:22,600
Speaker 3: good spot. Yeah, that kind of speaks to the quality

679
00:33:22,640 --> 00:33:25,920
Speaker 3: of hunting probably more than anything else. Yeah, that was

680
00:33:25,920 --> 00:33:27,800
Speaker 3: the spot that was selected right there in Mississippi.

681
00:33:27,960 --> 00:33:32,160
Speaker 2: Yeah, and so so bear grease folks would remember the

682
00:33:32,200 --> 00:33:37,560
Speaker 2: whole Caller story and where I went with Anthony to

683
00:33:38,200 --> 00:33:40,760
Speaker 2: on a dense study back in March was I don't know.

684
00:33:41,040 --> 00:33:43,680
Speaker 2: I can't remember the exact location, but it was within

685
00:33:44,200 --> 00:33:48,080
Speaker 2: twenty thirty miles of where Holton Theodore Roosevelt with a

686
00:33:48,160 --> 00:33:50,720
Speaker 2: hunted bear in nineteen oh two.

687
00:33:50,880 --> 00:33:51,840
Speaker 1: I think I know too.

688
00:33:51,880 --> 00:33:54,400
Speaker 3: Yeah, just up the road probably, Yeah, you're right, probably

689
00:33:54,680 --> 00:33:56,160
Speaker 3: fifteen miles or so.

690
00:33:57,080 --> 00:34:01,440
Speaker 2: And then after he left, after Belt left, the bear

691
00:34:01,560 --> 00:34:07,720
Speaker 2: story turns turns pretty pretty pretty bleak because bears were

692
00:34:08,760 --> 00:34:12,560
Speaker 2: basically extirpated from the state. Do you do you have

693
00:34:12,600 --> 00:34:16,520
Speaker 2: a sense of were there ever zero bears in Mississippi?

694
00:34:16,680 --> 00:34:20,640
Speaker 3: They were never completely extirpated. No, okay, And so that's

695
00:34:20,719 --> 00:34:23,200
Speaker 3: one kind of misnomer that's out there. People think that

696
00:34:23,280 --> 00:34:25,880
Speaker 3: they were they were none, and then they were restocked,

697
00:34:25,920 --> 00:34:28,799
Speaker 3: and now there's bears, and now it did get down

698
00:34:28,920 --> 00:34:31,160
Speaker 3: very low. I think the I think the lowest estimation

699
00:34:31,280 --> 00:34:34,200
Speaker 3: was somewhere around a dozen like it was extremely low. Wow,

700
00:34:34,280 --> 00:34:36,880
Speaker 3: but it was never zero. Where were those bears at

701
00:34:37,440 --> 00:34:39,080
Speaker 3: right there along the river on the river.

702
00:34:39,200 --> 00:34:42,520
Speaker 2: Yeah, so yeah, so the the Mississippi River corridor, and

703
00:34:42,920 --> 00:34:47,000
Speaker 2: we've you know, done a lot of stuff on it.

704
00:34:47,000 --> 00:34:47,560
Speaker 1: It's like a.

705
00:34:47,480 --> 00:34:51,480
Speaker 2: Pretty wild corridor right along the river because you can't

706
00:34:51,480 --> 00:34:53,880
Speaker 2: build on the river because of flooding. So they have

707
00:34:54,200 --> 00:34:57,480
Speaker 2: now you know, since the turn turn of the century,

708
00:34:57,760 --> 00:35:01,480
Speaker 2: there's been levees, but inside the levees you basically can't build.

709
00:35:01,520 --> 00:35:04,560
Speaker 2: So it's maintained quite a bit of its wildness though

710
00:35:04,680 --> 00:35:06,960
Speaker 2: though it's I mean, it's not like there's not people

711
00:35:07,000 --> 00:35:09,720
Speaker 2: in there. There are, but that's where the bears held strong,

712
00:35:09,880 --> 00:35:11,640
Speaker 2: was like right on the Mississippi River.

713
00:35:11,719 --> 00:35:13,879
Speaker 3: Yeah, the Batcher Land, Bacher Land.

714
00:35:14,520 --> 00:35:18,320
Speaker 2: That's so that's the the genetic studies of bears in Mississippi.

715
00:35:19,200 --> 00:35:21,680
Speaker 2: Are you able to like, what have they learned about

716
00:35:21,719 --> 00:35:25,120
Speaker 2: the genetics? Because are the bears? Well I could put

717
00:35:25,160 --> 00:35:27,520
Speaker 2: words on the table, but I want to hear you

718
00:35:27,800 --> 00:35:29,160
Speaker 2: where where did they come from?

719
00:35:29,280 --> 00:35:32,040
Speaker 3: So, like I said, we had that small remnant population.

720
00:35:32,239 --> 00:35:34,840
Speaker 3: And when you have any small population like that with

721
00:35:34,920 --> 00:35:38,200
Speaker 3: few individuals you all have you also have very few

722
00:35:38,640 --> 00:35:43,040
Speaker 3: or very a small amount of genetic diversity, and that

723
00:35:43,040 --> 00:35:45,880
Speaker 3: can be a problem in you know, reproduction, you can

724
00:35:45,920 --> 00:35:48,319
Speaker 3: have inbreeding, you can have all kinds of you know,

725
00:35:48,400 --> 00:35:53,640
Speaker 3: maladies and reproductive problems as a result. And so what

726
00:35:53,840 --> 00:35:57,960
Speaker 3: Arkansas and Louisiana did back in those times to supplement

727
00:35:58,000 --> 00:36:01,600
Speaker 3: the Louisiana black bear population was to bring in American

728
00:36:01,600 --> 00:36:06,080
Speaker 3: black bears from Minnesota, And so when that restocking effort

729
00:36:06,080 --> 00:36:08,840
Speaker 3: occurred there, it was not only to bolster the numbers,

730
00:36:08,960 --> 00:36:11,279
Speaker 3: but it was also to increase genetic diversity. You know,

731
00:36:11,320 --> 00:36:14,280
Speaker 3: they did the same thing with whitetail deer in the state.

732
00:36:14,800 --> 00:36:19,400
Speaker 3: I think there was Mexico, Wisconsin, several other states that

733
00:36:19,440 --> 00:36:23,640
Speaker 3: they are in locations that they brought animals in to

734
00:36:23,719 --> 00:36:26,000
Speaker 3: make sure that they weren't bringing in that make sure

735
00:36:26,040 --> 00:36:29,040
Speaker 3: they were bringing the most diverse genetics in to supplement

736
00:36:29,040 --> 00:36:31,160
Speaker 3: that population as they could to try to avoid those problems.

737
00:36:31,239 --> 00:36:35,160
Speaker 7: Did climate have an impact on bringing the bears from

738
00:36:35,239 --> 00:36:36,320
Speaker 7: where'd you say? Minnesota?

739
00:36:36,840 --> 00:36:39,480
Speaker 3: Yeah? I don't know. So there are some there were

740
00:36:39,480 --> 00:36:42,840
Speaker 3: some places where the introductions went really well and the

741
00:36:42,840 --> 00:36:45,480
Speaker 3: bears seemed to thrive, and you can still see, you know,

742
00:36:45,560 --> 00:36:49,359
Speaker 3: those those genetic influences and there are some that it was.

743
00:36:49,480 --> 00:36:51,560
Speaker 3: It was pretty much a failure. Really, Yeah.

744
00:36:51,680 --> 00:36:54,319
Speaker 1: Yeah, did Mississippi ever bring in any bears? Though?

745
00:36:54,440 --> 00:36:57,640
Speaker 3: Mississippi tried one time and then night it was either

746
00:36:57,680 --> 00:37:01,799
Speaker 3: thirty four or thirty five, and it was what the

747
00:37:01,840 --> 00:37:03,319
Speaker 3: notes that I have is said it was marked as

748
00:37:03,320 --> 00:37:06,200
Speaker 3: a failure. Apparently there was a pretty few five or

749
00:37:06,280 --> 00:37:09,759
Speaker 3: less that were actually wait, they get them. I would

750
00:37:09,760 --> 00:37:11,480
Speaker 3: assume it was somewhere up north, but I don't know

751
00:37:11,480 --> 00:37:12,000
Speaker 3: that for sure.

752
00:37:12,120 --> 00:37:15,719
Speaker 2: Yeah, so in the thirties, so the Arkansas story was

753
00:37:15,719 --> 00:37:18,759
Speaker 2: in the you know, between like fifty four and the

754
00:37:18,800 --> 00:37:21,680
Speaker 2: early sixties, they brought in these two hundred and fifty

755
00:37:21,680 --> 00:37:26,440
Speaker 2: four bears. So you're saying that reintroduction is what is

756
00:37:26,480 --> 00:37:29,560
Speaker 2: now is influenced Mississippi.

757
00:37:29,840 --> 00:37:32,200
Speaker 1: Yeah, so those bears are crossing the river.

758
00:37:32,160 --> 00:37:34,960
Speaker 3: Right, So essentially, like the big population sources that you

759
00:37:35,040 --> 00:37:38,640
Speaker 3: have that Iron State has seen an influx of the

760
00:37:38,640 --> 00:37:41,960
Speaker 3: White River Refuge around were right there in kind of

761
00:37:41,960 --> 00:37:45,439
Speaker 3: southeast Arkansas. Yeah, you've got Tensaw National Wilife Refuge, which

762
00:37:45,520 --> 00:37:48,560
Speaker 3: is a super dense population there and those surrounding areas,

763
00:37:49,080 --> 00:37:53,560
Speaker 3: and then parts of southwest Mississippi just across the state line,

764
00:37:53,640 --> 00:37:57,520
Speaker 3: like Tunica Hills WM that that area a chapel I basin,

765
00:37:57,640 --> 00:38:00,560
Speaker 3: and then you also have a small population and mobile

766
00:38:00,600 --> 00:38:03,680
Speaker 3: and the Mobile basin in Alabama, and so a lot

767
00:38:03,719 --> 00:38:07,480
Speaker 3: of our southeastern or southeast Mississippi bears have kind of

768
00:38:07,480 --> 00:38:08,080
Speaker 3: influxd from it.

769
00:38:08,160 --> 00:38:11,840
Speaker 2: So there's bears coming from the east coming into Mississippi.

770
00:38:11,520 --> 00:38:14,080
Speaker 3: Not to the extent from from the west because that

771
00:38:14,160 --> 00:38:17,160
Speaker 3: population is not growing nearly as fast and it's it's

772
00:38:17,200 --> 00:38:19,440
Speaker 3: not as big of a population source, but there is

773
00:38:19,480 --> 00:38:20,160
Speaker 3: some influx there.

774
00:38:20,239 --> 00:38:25,560
Speaker 2: Yeah, did they ever reintroduce bears into Louisiana or is

775
00:38:25,600 --> 00:38:30,000
Speaker 2: that all from migration of this core? So what's cool

776
00:38:30,040 --> 00:38:35,879
Speaker 2: to me is that the the well when you look

777
00:38:35,880 --> 00:38:41,280
Speaker 2: at habitat, the public lands and stuff here in Arkansas

778
00:38:41,320 --> 00:38:45,120
Speaker 2: have been this like harbor for our bears. Essentially they

779
00:38:45,680 --> 00:38:49,040
Speaker 2: turn them loose in this stronghold. Is now you know,

780
00:38:49,080 --> 00:38:51,600
Speaker 2: bears going into southern Missouri, which now has a bear

781
00:38:51,680 --> 00:38:55,239
Speaker 2: season in southern Missouri, They're coming into eastern Oklahoma which

782
00:38:55,280 --> 00:38:58,960
Speaker 2: now has a bear season. Are Is that where Louisiana

783
00:38:59,200 --> 00:39:03,320
Speaker 2: got their bears? Is from migration of our bears south

784
00:39:04,120 --> 00:39:05,000
Speaker 2: or did they bring them in?

785
00:39:05,040 --> 00:39:06,960
Speaker 3: I think they did also bring them in but I

786
00:39:06,960 --> 00:39:10,400
Speaker 3: don't think Louisiana got down to the same level that

787
00:39:10,440 --> 00:39:12,920
Speaker 3: we did as far as like their lowest point of

788
00:39:12,960 --> 00:39:14,160
Speaker 3: their population.

789
00:39:13,760 --> 00:39:15,200
Speaker 1: So they always had some bears.

790
00:39:15,280 --> 00:39:17,520
Speaker 3: Yeah, so I think they were able to bolster that,

791
00:39:17,560 --> 00:39:19,239
Speaker 3: but they didn't get nearly to the point that we

792
00:39:19,280 --> 00:39:21,239
Speaker 3: did to have to supplement.

793
00:39:21,440 --> 00:39:24,480
Speaker 6: And Mississippi doesn't have a bear season.

794
00:39:24,760 --> 00:39:26,959
Speaker 3: No, now, they're still a state protected species.

795
00:39:26,680 --> 00:39:29,040
Speaker 6: Right, And how long has it been since they've had a.

796
00:39:29,000 --> 00:39:34,440
Speaker 3: Season, So I know the agency, the Missisippi Wildye Fisheries

797
00:39:34,480 --> 00:39:37,200
Speaker 3: and Parks. Then the Mississippi Game and Fish Commission was

798
00:39:37,280 --> 00:39:40,879
Speaker 3: actually formed in nineteen thirty two, and so I would

799
00:39:40,920 --> 00:39:42,080
Speaker 3: imagine it was sometime.

800
00:39:42,640 --> 00:39:46,600
Speaker 6: So it's been gosh, nearly one hundred years.

801
00:39:47,239 --> 00:39:59,920
Speaker 2: Yeah, this season, so how many I asked you this before?

802
00:40:00,320 --> 00:40:03,480
Speaker 2: But how many bears do you think are in Mississippi.

803
00:40:04,000 --> 00:40:04,919
Speaker 1: At any given time?

804
00:40:05,080 --> 00:40:06,000
Speaker 3: I knew it was gonna happen.

805
00:40:06,120 --> 00:40:07,960
Speaker 1: Yeah, I just hate questions like that.

806
00:40:08,719 --> 00:40:13,560
Speaker 2: Means, if I could tie Myron Means hands behind his back.

807
00:40:13,360 --> 00:40:15,880
Speaker 6: On a chair, rank and serial number and that's it.

808
00:40:15,800 --> 00:40:18,360
Speaker 1: And like hook him in the chest, how many bears

809
00:40:18,360 --> 00:40:21,200
Speaker 1: are in Arkansas? He'd be like, well, I don't know.

810
00:40:21,719 --> 00:40:23,960
Speaker 1: Quit messed around with me. How many bears are in

811
00:40:24,400 --> 00:40:25,400
Speaker 1: just say a number.

812
00:40:26,000 --> 00:40:31,280
Speaker 3: Yeah. The problem with Mississippi is we have an estimation

813
00:40:31,440 --> 00:40:34,480
Speaker 3: that is about fifteen years old. That's the most current

814
00:40:34,480 --> 00:40:38,320
Speaker 3: population estimate that we have. And so after.

815
00:40:38,120 --> 00:40:40,000
Speaker 1: He says all this, I'll tell you how many bears

816
00:40:40,000 --> 00:40:41,720
Speaker 1: are go ahead.

817
00:40:44,760 --> 00:40:47,920
Speaker 3: Nobody wants to know more than me, And I cannot tell.

818
00:40:47,800 --> 00:40:50,040
Speaker 1: You how to keep the info coming. I'll let you know,

819
00:40:50,239 --> 00:40:51,040
Speaker 1: I cannot.

820
00:40:50,800 --> 00:40:55,440
Speaker 3: Tell you how how how much I'm looking forward to

821
00:40:55,520 --> 00:40:58,360
Speaker 3: actually having an estimate, because when you talk to people,

822
00:40:58,520 --> 00:41:00,799
Speaker 3: regardless of how verse they are in the subject, that's

823
00:41:00,840 --> 00:41:02,360
Speaker 3: what they want to know. How many bears do we have?

824
00:41:04,760 --> 00:41:08,480
Speaker 3: But so that that's our our old estimation, and the

825
00:41:08,520 --> 00:41:11,799
Speaker 3: new estimation that we're going to have, I'm hoping is

826
00:41:11,840 --> 00:41:13,319
Speaker 3: going to be in the next year, year and a half.

827
00:41:13,960 --> 00:41:15,799
Speaker 3: H We've got a really lot we're collecting a lot

828
00:41:15,800 --> 00:41:17,799
Speaker 3: of genetics, and we've got a lot of collars out

829
00:41:17,880 --> 00:41:20,880
Speaker 3: right now, we're trapping a lot of bears and and

830
00:41:20,920 --> 00:41:23,440
Speaker 3: that's a multi state project too, And so we'll have

831
00:41:23,480 --> 00:41:26,920
Speaker 3: a pretty good idea of like a good, solid, reliable

832
00:41:27,000 --> 00:41:30,000
Speaker 3: number and then you know, another question that people have

833
00:41:30,239 --> 00:41:33,160
Speaker 3: and maybe jumping the gun a little bit, but you know, we'll.

834
00:41:36,000 --> 00:41:36,239
Speaker 2: Move on.

835
00:41:37,640 --> 00:41:39,880
Speaker 3: I can ask you snatch me right back here.

836
00:41:40,600 --> 00:41:43,359
Speaker 2: Remember what you were going to say about the next

837
00:41:43,440 --> 00:41:46,920
Speaker 2: thing you want to talk about? How so the population

838
00:41:47,040 --> 00:41:50,360
Speaker 2: study that's going on right now to describe how that works.

839
00:41:50,880 --> 00:41:53,960
Speaker 3: So there's been different sections of the state that have

840
00:41:54,000 --> 00:41:58,279
Speaker 3: been chosen to do bear hair snares. So essentially what

841
00:41:58,320 --> 00:41:59,719
Speaker 3: that is is you've got a couple of strands of

842
00:41:59,760 --> 00:42:03,160
Speaker 3: bar are usually around trees and you know, and in

843
00:42:03,200 --> 00:42:05,799
Speaker 3: the study area bait in the middle, some kind of

844
00:42:05,960 --> 00:42:08,160
Speaker 3: you know, scent attracting or some type of you know,

845
00:42:08,239 --> 00:42:11,560
Speaker 3: doughnuts are us pretty commonly, And the idea is to

846
00:42:11,560 --> 00:42:14,920
Speaker 3: get the bear to navigate that barbed wire into the

847
00:42:14,920 --> 00:42:18,080
Speaker 3: baited area and snag a small piece of hair as

848
00:42:18,120 --> 00:42:20,560
Speaker 3: he or she does it, so that we can then

849
00:42:20,640 --> 00:42:23,400
Speaker 3: get that genetic information. And then once you do that

850
00:42:23,440 --> 00:42:25,839
Speaker 3: on a landscape wide level, you start to get an

851
00:42:25,880 --> 00:42:28,120
Speaker 3: idea of what the density might be. You start to

852
00:42:28,120 --> 00:42:30,280
Speaker 3: get an idea of, you know, what type of genetic

853
00:42:30,360 --> 00:42:33,640
Speaker 3: influences that that bear has had, so you know where

854
00:42:33,680 --> 00:42:35,440
Speaker 3: what areas that that bear might have come from as

855
00:42:35,480 --> 00:42:37,919
Speaker 3: far as a source population, and you can really start

856
00:42:37,960 --> 00:42:40,520
Speaker 3: to put the puzzle pieces together of you know what

857
00:42:40,560 --> 00:42:41,719
Speaker 3: that population looks like.

858
00:42:41,880 --> 00:42:48,080
Speaker 2: So from from hair collected and and and understanding of

859
00:42:48,160 --> 00:42:51,640
Speaker 2: where all this stuff came from, you can like triangulate

860
00:42:52,520 --> 00:42:56,919
Speaker 2: and come to get a number of like Okay, we've

861
00:42:56,920 --> 00:43:02,200
Speaker 2: got this much habitat, we had this many hairs, this

862
00:43:02,239 --> 00:43:04,840
Speaker 2: is what the genetics state say, and you can like

863
00:43:05,640 --> 00:43:08,600
Speaker 2: using some of these data points come up with an estimate.

864
00:43:08,800 --> 00:43:11,279
Speaker 3: Yeah, some of the wizardry when you get really into

865
00:43:11,360 --> 00:43:14,800
Speaker 3: the weeds like that. We rely on Missippi State University.

866
00:43:15,280 --> 00:43:16,239
Speaker 3: That's been kind of a.

867
00:43:16,400 --> 00:43:18,399
Speaker 2: Let them know if they if they need any help

868
00:43:18,440 --> 00:43:19,480
Speaker 2: with that, I'd be glad that.

869
00:43:19,560 --> 00:43:23,560
Speaker 3: Yeah, I'll call them. But uh, anyway, MSU, we've we've

870
00:43:23,960 --> 00:43:27,680
Speaker 3: worked with them for years and years on studying every

871
00:43:27,719 --> 00:43:31,520
Speaker 3: critter there is in Mississippi, and you know, when when

872
00:43:31,560 --> 00:43:35,160
Speaker 3: it comes to actually building the models and analyzing the data,

873
00:43:35,680 --> 00:43:38,520
Speaker 3: uh and really to a largest collecting the data as well,

874
00:43:38,800 --> 00:43:41,080
Speaker 3: We've always had a really good relationship with them, and

875
00:43:41,120 --> 00:43:44,040
Speaker 3: so like when it comes to the like the nuts

876
00:43:44,080 --> 00:43:47,240
Speaker 3: and bolts of it, that's that's their department. So yeah,

877
00:43:47,320 --> 00:43:49,000
Speaker 3: I can't get too far into the weeds because I'll

878
00:43:49,000 --> 00:43:50,000
Speaker 3: start talking over my head.

879
00:43:51,520 --> 00:43:54,239
Speaker 7: Play's unconventional, but it works, right.

880
00:43:54,320 --> 00:43:54,840
Speaker 1: Yeah.

881
00:43:54,960 --> 00:43:57,399
Speaker 2: Now, the old, the fifteen year old, just to give

882
00:43:57,440 --> 00:44:01,400
Speaker 2: a just a baseline numbers, the fifteen year old estimate

883
00:44:01,480 --> 00:44:02,720
Speaker 2: is like a couple hundred bears.

884
00:44:02,719 --> 00:44:04,520
Speaker 3: One hundred and fifty to three hundred is the old

885
00:44:04,600 --> 00:44:06,200
Speaker 3: hundred and fifty to three hundred bears?

886
00:44:06,280 --> 00:44:06,440
Speaker 1: Yeah?

887
00:44:06,520 --> 00:44:09,800
Speaker 7: Yeah, you think the estimate in Arkansas.

888
00:44:10,920 --> 00:44:12,720
Speaker 1: That they six and seven thousand?

889
00:44:12,920 --> 00:44:15,920
Speaker 4: Oh wow wow yeah, Okay, that's a huge So do

890
00:44:15,960 --> 00:44:18,200
Speaker 4: you think that the estimate is higher or lower?

891
00:44:18,520 --> 00:44:19,440
Speaker 3: I think it's way higher.

892
00:44:19,480 --> 00:44:21,960
Speaker 4: Now, yeah, do you think it's close to Arkansas?

893
00:44:22,280 --> 00:44:23,719
Speaker 3: No, I don't think it's close to Arkansas.

894
00:44:24,400 --> 00:44:28,000
Speaker 2: It's all based on habitat, just like like the amount

895
00:44:28,080 --> 00:44:31,279
Speaker 2: of suitable bear habitat. So there's places that are just

896
00:44:31,320 --> 00:44:34,560
Speaker 2: going to have like the carrying capacity is just going to.

897
00:44:34,600 --> 00:44:37,120
Speaker 5: Be less and is ours. Do we have so much

898
00:44:37,160 --> 00:44:40,879
Speaker 5: more habitat because of the mountains? Well, because I don't

899
00:44:40,880 --> 00:44:44,680
Speaker 5: think Mississippi would be any less hilly rural than we

900
00:44:44,680 --> 00:44:45,040
Speaker 5: would be.

901
00:44:45,080 --> 00:44:48,719
Speaker 2: I mean it's not about rural, it's it's about I

902
00:44:48,800 --> 00:44:51,040
Speaker 2: mean bears typically, well, like where he A lot of

903
00:44:51,280 --> 00:44:53,640
Speaker 2: where these bears are is like ag land, Like there's

904
00:44:54,120 --> 00:44:58,360
Speaker 2: huge chunks of the map that are monoculture just ag

905
00:44:59,040 --> 00:45:02,360
Speaker 2: which is basically not good bear habitat. I mean, they

906
00:45:02,440 --> 00:45:05,479
Speaker 2: might munch on the fringes of some soybean fields or something,

907
00:45:05,480 --> 00:45:08,080
Speaker 2: but it is not gonna hold bears. So when you

908
00:45:08,160 --> 00:45:11,680
Speaker 2: looked at aerial maps and you see these corridors along

909
00:45:11,760 --> 00:45:15,960
Speaker 2: rivers and these big blocks that are am I am

910
00:45:15,960 --> 00:45:19,040
Speaker 2: I right? Yeah, these big blocks of timber basically is

911
00:45:19,040 --> 00:45:20,480
Speaker 2: what the bear needs.

912
00:45:20,560 --> 00:45:22,400
Speaker 3: Yeah, that's what you're looking for. And a lot of

913
00:45:22,440 --> 00:45:24,960
Speaker 3: those blocks of timber in the Delta and along the

914
00:45:24,960 --> 00:45:28,040
Speaker 3: Mississippi River have That's why they've been such a stronghold,

915
00:45:28,480 --> 00:45:30,560
Speaker 3: is because they've got everything that a bear wants, and

916
00:45:30,600 --> 00:45:34,120
Speaker 3: they're you know, as similar as what that ideal habitat

917
00:45:34,160 --> 00:45:37,200
Speaker 3: was one hundred years ago. Yeah, you still got a

918
00:45:37,200 --> 00:45:38,960
Speaker 3: lot of old growth timber, You still got a lot

919
00:45:38,960 --> 00:45:41,399
Speaker 3: of trees for dinning and all that.

920
00:45:41,480 --> 00:45:43,640
Speaker 6: Well, Yeah, that that Bend study you guys did, the

921
00:45:44,480 --> 00:45:48,560
Speaker 6: soal was in a tree. Yeah, up in a hollow tree.

922
00:45:48,800 --> 00:45:51,840
Speaker 2: Bye, before I want to talk specifically about that, before

923
00:45:51,840 --> 00:45:56,080
Speaker 2: we do, though, talking about bear numbers. Man. So, we

924
00:45:56,080 --> 00:45:59,719
Speaker 2: were in California just this last week. California just came

925
00:45:59,760 --> 00:46:03,880
Speaker 2: up with new study, and they think that they're between

926
00:46:04,160 --> 00:46:08,200
Speaker 2: sixty five and seventy five thousand bears in California.

927
00:46:08,400 --> 00:46:12,120
Speaker 7: Oh my, what I mean are intacted in California.

928
00:46:13,160 --> 00:46:17,840
Speaker 2: You can hunt bears, but they've basically gutted the management

929
00:46:17,880 --> 00:46:21,359
Speaker 2: mechanisms in California. You know, seven eight years ago they

930
00:46:21,400 --> 00:46:24,080
Speaker 2: banned hunting with hounds. They used to have a spring season,

931
00:46:24,160 --> 00:46:27,520
Speaker 2: they banned that. You know, the political climate out there

932
00:46:27,520 --> 00:46:31,000
Speaker 2: obviously is not pro wildlife management through hunting.

933
00:46:31,440 --> 00:46:33,640
Speaker 7: But is that a concern?

934
00:46:34,160 --> 00:46:34,480
Speaker 4: Oh?

935
00:46:34,600 --> 00:46:38,440
Speaker 2: Massive, Okay, it's it's it's it's it's eroding the foundations

936
00:46:38,480 --> 00:46:40,440
Speaker 2: of the North American model wildlife conservation.

937
00:46:40,800 --> 00:46:41,719
Speaker 1: I mean for.

938
00:46:44,120 --> 00:46:46,640
Speaker 2: People to basically be like, hey, we don't we don't

939
00:46:46,640 --> 00:46:49,520
Speaker 2: want to manage them in that way, and so anyway,

940
00:46:49,520 --> 00:46:51,560
Speaker 2: but just to put it in perspective, you know, it

941
00:46:51,640 --> 00:46:54,200
Speaker 2: feels like a lot of bears, you know, like like

942
00:46:54,600 --> 00:46:57,640
Speaker 2: I mean to say, there's you know, maybe five or

943
00:46:57,680 --> 00:47:01,120
Speaker 2: six hundred bears in Mississippi. Sounds incredible, awesome, They're they're

944
00:47:01,160 --> 00:47:04,920
Speaker 2: coming back. This is a massive success. And then it goes, whoa,

945
00:47:04,920 --> 00:47:08,640
Speaker 2: there's six sixty five hundred bears in Arkansas. Holy smokes,

946
00:47:08,640 --> 00:47:11,560
Speaker 2: that's incredible. And then California.

947
00:47:11,640 --> 00:47:13,960
Speaker 6: So is that the would you is that the most

948
00:47:14,120 --> 00:47:15,120
Speaker 6: bare dense.

949
00:47:15,320 --> 00:47:16,800
Speaker 1: I think they would.

950
00:47:16,920 --> 00:47:19,959
Speaker 2: I mean, I'm pretty sure that California has more black

951
00:47:19,960 --> 00:47:21,280
Speaker 2: bears than the state in the country.

952
00:47:21,400 --> 00:47:21,680
Speaker 1: Wow.

953
00:47:21,719 --> 00:47:25,279
Speaker 2: Now the state of Maine they believe has between like

954
00:47:26,719 --> 00:47:28,120
Speaker 2: last it's been a couple of years.

955
00:47:28,160 --> 00:47:31,080
Speaker 1: But I wanted to thirty and forty.

956
00:47:30,840 --> 00:47:34,719
Speaker 2: Thousand bears in Maine, you know, like Montana has like

957
00:47:34,760 --> 00:47:38,440
Speaker 2: twenty five thousand bears. Washington State's gonna have around thirty

958
00:47:38,520 --> 00:47:42,680
Speaker 2: thousand bears. The Canadian provinces, all the Canadian provinces have

959
00:47:42,840 --> 00:47:45,800
Speaker 2: just like incredible bear numbers.

960
00:47:45,800 --> 00:47:47,879
Speaker 1: So there's roughly.

961
00:47:50,239 --> 00:47:52,840
Speaker 2: Some people I've heard it set a million, but actually

962
00:47:52,880 --> 00:47:56,200
Speaker 2: in the research they say there's between seven hundred and

963
00:47:56,320 --> 00:48:01,279
Speaker 2: fifty thousand and nine hundred and seventeen thousand bears in

964
00:48:01,360 --> 00:48:06,120
Speaker 2: North America North America. But I mean, you know, knowing

965
00:48:06,160 --> 00:48:09,759
Speaker 2: what I know, I think they're a little low. You know.

966
00:48:11,000 --> 00:48:13,160
Speaker 1: I want to just I want to become the guy

967
00:48:13,239 --> 00:48:14,920
Speaker 1: that just makes up numbers.

968
00:48:15,000 --> 00:48:15,640
Speaker 7: Yeah, that's great.

969
00:48:15,840 --> 00:48:16,520
Speaker 4: I think you're there.

970
00:48:16,680 --> 00:48:18,719
Speaker 2: I think when you when you start adding up all

971
00:48:18,760 --> 00:48:20,719
Speaker 2: the little pieces, you see how you get close to

972
00:48:20,760 --> 00:48:25,000
Speaker 2: a million bears? You know, in the state Uh, Alaska.

973
00:48:25,320 --> 00:48:28,000
Speaker 2: You know what, Alaska may have more black bears than California.

974
00:48:28,120 --> 00:48:30,000
Speaker 2: I think they say there may be one hundred thousand

975
00:48:30,040 --> 00:48:31,080
Speaker 2: black bears in Alaska.

976
00:48:31,160 --> 00:48:33,360
Speaker 3: That makes sense, and it's it's just sheer volume.

977
00:48:33,840 --> 00:48:36,280
Speaker 7: So the numbers you're talking about are all black bears,

978
00:48:36,320 --> 00:48:38,160
Speaker 7: black bears, just black bears, Okay.

979
00:48:38,239 --> 00:48:40,360
Speaker 4: Yeah, because you can't you can't hunt brown bears.

980
00:48:40,400 --> 00:48:42,200
Speaker 6: California is the bears in Alaska.

981
00:48:42,239 --> 00:48:47,960
Speaker 2: You can well, California, California, the state animals California is

982
00:48:47,960 --> 00:48:48,680
Speaker 2: a grizzly bear.

983
00:48:49,440 --> 00:48:51,000
Speaker 1: But then there's no grizzly bears.

984
00:48:50,760 --> 00:48:58,120
Speaker 2: There tracks yeah, the extra yeah, yeah, sad story, no man,

985
00:48:58,520 --> 00:49:02,319
Speaker 2: the whole the uh. I may be working on a

986
00:49:02,320 --> 00:49:05,160
Speaker 2: little project about this, but uh, you know, the story

987
00:49:05,200 --> 00:49:08,920
Speaker 2: of black bear in North America is fascinating. It is

988
00:49:09,280 --> 00:49:12,319
Speaker 2: and a massive success. And I think a story like

989
00:49:12,400 --> 00:49:15,560
Speaker 2: Mississippi's is a is a pinnacle. It's like a crown

990
00:49:15,640 --> 00:49:18,600
Speaker 2: jewel of the story. Yeah, because I mean, even though

991
00:49:18,680 --> 00:49:24,239
Speaker 2: though it's a small population, it's a it's it's significant, you.

992
00:49:24,200 --> 00:49:27,160
Speaker 3: Know, very much. So Yeah, And I mean, you know,

993
00:49:27,239 --> 00:49:29,680
Speaker 3: I'm I'm truly humble to be in the position that

994
00:49:29,719 --> 00:49:33,560
Speaker 3: I'm in now because it's pretty likely that, you know,

995
00:49:33,640 --> 00:49:35,680
Speaker 3: during my career, if I if I work all the

996
00:49:35,680 --> 00:49:39,000
Speaker 3: way to retirement, that I'll oversee the implementation of the

997
00:49:39,040 --> 00:49:43,560
Speaker 3: first bear hunting season in Mississippi since the days of

998
00:49:43,600 --> 00:49:46,759
Speaker 3: Dady Roosevelt. You know, like it's just if that's not

999
00:49:46,920 --> 00:49:49,359
Speaker 3: the conservation dream, I don't know what it is. Yeah,

1000
00:49:49,440 --> 00:49:51,360
Speaker 3: And there's there's a lot of people that don't like

1001
00:49:51,400 --> 00:49:53,160
Speaker 3: the idea of bear hunting. It's one of those that's

1002
00:49:53,239 --> 00:49:56,920
Speaker 3: kind of you've got people that don't like hunting, and

1003
00:49:56,920 --> 00:49:58,759
Speaker 3: then you've got people that don't like bear hunting. And

1004
00:49:58,800 --> 00:50:01,640
Speaker 3: that's not always the same people I've come to find out,

1005
00:50:01,680 --> 00:50:04,920
Speaker 3: But you know, I tell people it's it's the same

1006
00:50:05,480 --> 00:50:08,399
Speaker 3: you're talking about the North American wildlife model, the white

1007
00:50:08,440 --> 00:50:11,640
Speaker 3: tailed deer, the Eastern wild turkey, the American alligator more

1008
00:50:11,640 --> 00:50:14,960
Speaker 3: recently in Mississippi, all of those and and then you

1009
00:50:15,000 --> 00:50:16,719
Speaker 3: know what we hope to be the black bear too.

1010
00:50:16,840 --> 00:50:22,080
Speaker 3: All of those have followed that same trajectory through conservation dollars,

1011
00:50:22,120 --> 00:50:26,720
Speaker 3: through regulations, through the the money that the American hunter

1012
00:50:26,800 --> 00:50:30,719
Speaker 3: has put into the system to bring a species from

1013
00:50:30,719 --> 00:50:33,960
Speaker 3: the brink of extinction up until something that's so ubiquitous

1014
00:50:34,000 --> 00:50:35,640
Speaker 3: that we don't even consider it anymore. Like when you

1015
00:50:35,640 --> 00:50:38,400
Speaker 3: even think about a white tail deer as being a

1016
00:50:38,400 --> 00:50:41,000
Speaker 3: conservation success story, and it is. It's a huge one,

1017
00:50:41,040 --> 00:50:41,640
Speaker 3: every one of them.

1018
00:50:41,680 --> 00:50:48,640
Speaker 2: Yeah, that's that's awesome. Yeah, it's interesting to think about it.

1019
00:50:48,800 --> 00:50:53,239
Speaker 2: It's such a hard sell to to think about, like

1020
00:50:53,800 --> 00:50:59,160
Speaker 2: what what you're doing and bringing this bear back, and

1021
00:50:59,200 --> 00:51:03,000
Speaker 2: how a hunt season would actually be a sign that

1022
00:51:03,160 --> 00:51:07,200
Speaker 2: it was a massive success exactly, you know, And and

1023
00:51:07,280 --> 00:51:10,319
Speaker 2: how do you think people will respond in Mississippi? I mean,

1024
00:51:10,360 --> 00:51:13,399
Speaker 2: you know, who knows how many years down the road,

1025
00:51:13,600 --> 00:51:16,440
Speaker 2: it's a it's a pretty long ways out, I would guess.

1026
00:51:16,560 --> 00:51:19,600
Speaker 2: But but you know, if there was a limited season there,

1027
00:51:20,000 --> 00:51:21,799
Speaker 2: kind of like they're doing in Louisiana, where you know,

1028
00:51:21,880 --> 00:51:25,720
Speaker 2: there's like this year, this, this fall, this again massive

1029
00:51:25,719 --> 00:51:29,239
Speaker 2: conservation success this year, first year in Louisiana that they're

1030
00:51:29,239 --> 00:51:31,040
Speaker 2: going to have a very limited season, they're going to

1031
00:51:31,160 --> 00:51:38,080
Speaker 2: kill like ten bears. And it's what we saw. We

1032
00:51:38,120 --> 00:51:40,960
Speaker 2: talked a little bit about this, but what we what

1033
00:51:41,040 --> 00:51:47,160
Speaker 2: I observed anecdotally in Arkansas, having gone through Arkansas's transition

1034
00:51:47,840 --> 00:51:52,200
Speaker 2: to having a bear season, that really gave people a

1035
00:51:52,280 --> 00:51:55,000
Speaker 2: chance in two thousand and one, we allowed baiting on

1036
00:51:55,080 --> 00:51:59,680
Speaker 2: private land for archery hunting, and essentially that was kind

1037
00:51:59,680 --> 00:52:04,799
Speaker 2: of the start of Arkansas's bear hunting really be inaccessible

1038
00:52:04,840 --> 00:52:08,040
Speaker 2: to people, though our season started in nineteen eighty. Officially,

1039
00:52:08,680 --> 00:52:11,799
Speaker 2: for twenty years, it was pretty hard to kill a bear,

1040
00:52:12,040 --> 00:52:15,440
Speaker 2: and few people did and fewer people did it on purpose.

1041
00:52:16,040 --> 00:52:20,319
Speaker 2: But what I saw when people started hunting them is

1042
00:52:20,360 --> 00:52:24,200
Speaker 2: that it took some time, but all of a sudden

1043
00:52:24,200 --> 00:52:28,600
Speaker 2: they started having real value because the people had a

1044
00:52:28,719 --> 00:52:34,200
Speaker 2: say and had an incentive to want bears to thrive.

1045
00:52:34,400 --> 00:52:36,480
Speaker 2: But at first people didn't really know how to handle it,

1046
00:52:36,600 --> 00:52:39,000
Speaker 2: Like people didn't know that bear meat was good, like

1047
00:52:39,160 --> 00:52:44,879
Speaker 2: cultural memory is pretty finicky, Like basically, for eighty years,

1048
00:52:44,920 --> 00:52:48,440
Speaker 2: we essentially didn't have very many bears in this state,

1049
00:52:49,080 --> 00:52:54,040
Speaker 2: and my dad, my grandfather, and my great grandfather had

1050
00:52:54,120 --> 00:52:57,560
Speaker 2: no bear hunting in their cultural memory, and so when

1051
00:52:57,600 --> 00:52:59,640
Speaker 2: we showed up and all of a sudden started killing bears,

1052
00:52:59,640 --> 00:53:00,400
Speaker 2: it was like.

1053
00:53:01,200 --> 00:53:03,360
Speaker 1: What do you do with this? Why is this valuable?

1054
00:53:03,400 --> 00:53:06,040
Speaker 1: This is a you know, this is not something we're

1055
00:53:06,160 --> 00:53:06,480
Speaker 1: used to.

1056
00:53:07,200 --> 00:53:10,680
Speaker 2: And then it takes like a generation like bear has

1057
00:53:10,719 --> 00:53:14,400
Speaker 2: grown up knowing nothing but that bears are like the

1058
00:53:14,520 --> 00:53:17,040
Speaker 2: crown jewel of this place, you know, And it's just

1059
00:53:17,120 --> 00:53:20,440
Speaker 2: it's really interesting because, you know, like going to Mississippi

1060
00:53:20,480 --> 00:53:22,680
Speaker 2: and seeing the deep, rich history that you guys have

1061
00:53:22,800 --> 00:53:25,959
Speaker 2: in bear hunting and then the idea that there would

1062
00:53:25,960 --> 00:53:28,920
Speaker 2: be this like one hundred year absence of that and

1063
00:53:28,960 --> 00:53:29,920
Speaker 2: then reintroducing it.

1064
00:53:29,960 --> 00:53:31,839
Speaker 1: What do you think is gonna what's it going to be? Like?

1065
00:53:32,160 --> 00:53:34,920
Speaker 3: Well, so the good thing about Mississippi is there's a

1066
00:53:34,960 --> 00:53:38,680
Speaker 3: really strong hunting culture and there always has been. And like,

1067
00:53:38,719 --> 00:53:41,120
Speaker 3: as far as the social and kind of political climate,

1068
00:53:41,600 --> 00:53:44,279
Speaker 3: I don't think we would have the same problems that

1069
00:53:44,520 --> 00:53:47,239
Speaker 3: a California, for instance, or a Florida would have. Yeah,

1070
00:53:47,280 --> 00:53:49,959
Speaker 3: and trying to implement a season, and so from from

1071
00:53:49,960 --> 00:53:52,160
Speaker 3: that perspective, you know, I feel pretty good about it.

1072
00:53:52,719 --> 00:53:55,920
Speaker 3: And there seems to be kind of two attitudes about

1073
00:53:56,360 --> 00:53:59,759
Speaker 3: black bears in Mississippi. If people have formed in a

1074
00:53:59,800 --> 00:54:01,640
Speaker 3: pain and it usually falls into one of the two

1075
00:54:02,280 --> 00:54:05,240
Speaker 3: one of two categories, it's either oh my gosh, bears

1076
00:54:05,239 --> 00:54:07,319
Speaker 3: are awesome, we want them everywhere, we want to see

1077
00:54:07,360 --> 00:54:10,719
Speaker 3: them thrive, we love bears as a just categorically we

1078
00:54:10,760 --> 00:54:14,960
Speaker 3: love bears, or it's we categorically hate bears. Because they

1079
00:54:14,960 --> 00:54:17,680
Speaker 3: tear up my feeders, they eat the seeds off my

1080
00:54:17,719 --> 00:54:20,120
Speaker 3: four wheelers, and they get into stuff and they tear

1081
00:54:20,120 --> 00:54:21,600
Speaker 3: everything up. And we don't like the when they're good,

1082
00:54:21,719 --> 00:54:24,840
Speaker 3: no good for anything. And you know what I'm trying

1083
00:54:24,880 --> 00:54:26,520
Speaker 3: to do, and I think we're in a kind of

1084
00:54:26,520 --> 00:54:30,080
Speaker 3: a unique spot to do it is there's a large

1085
00:54:30,400 --> 00:54:33,560
Speaker 3: majority of people out there in Mississippi that a may

1086
00:54:33,600 --> 00:54:35,160
Speaker 3: not even know we have black bears in the state,

1087
00:54:35,239 --> 00:54:38,520
Speaker 3: but b don't really have a solid opinion formed about

1088
00:54:38,920 --> 00:54:42,080
Speaker 3: what having black bears means, and like an attitude toward

1089
00:54:42,080 --> 00:54:45,200
Speaker 3: the end on what itself. And so I think, you know,

1090
00:54:45,719 --> 00:54:48,560
Speaker 3: a lot of other animals, people have their opinions about

1091
00:54:48,560 --> 00:54:50,319
Speaker 3: them and that's pretty much it. But in this I

1092
00:54:50,320 --> 00:54:52,920
Speaker 3: think we have kind of a unique opportunity where we

1093
00:54:53,040 --> 00:54:56,719
Speaker 3: can preemptively, you know, put out some education there and

1094
00:54:56,800 --> 00:54:59,680
Speaker 3: tell people, look, you know, they're they're not the cartoon

1095
00:54:59,760 --> 00:55:02,040
Speaker 3: character that you've seen on the Disney movies. And they're

1096
00:55:02,040 --> 00:55:05,520
Speaker 3: also not the you know, mindless things they're going to

1097
00:55:05,560 --> 00:55:08,920
Speaker 3: eat your kids and dogs. They're they're right there in between.

1098
00:55:09,440 --> 00:55:12,200
Speaker 3: Here's how you live with bears. Here's some educational things,

1099
00:55:12,239 --> 00:55:15,000
Speaker 3: and here's how we're going to transition into this because

1100
00:55:15,400 --> 00:55:20,160
Speaker 3: you know, people want we want people to understand kind

1101
00:55:20,160 --> 00:55:23,040
Speaker 3: of how to make those adjustments before it actually ends

1102
00:55:23,120 --> 00:55:26,320
Speaker 3: up right there and there, you know, on their back porch.

1103
00:55:26,480 --> 00:55:29,880
Speaker 2: So yeah, yeah, I think that's I like what you're

1104
00:55:30,400 --> 00:55:33,520
Speaker 2: saying is you're you're you're already kind of you're training

1105
00:55:33,680 --> 00:55:38,440
Speaker 2: the the people in a way to understand how to

1106
00:55:39,640 --> 00:55:40,239
Speaker 2: how to have them.

1107
00:55:40,320 --> 00:55:40,520
Speaker 1: Yeah.

1108
00:55:40,800 --> 00:55:44,240
Speaker 2: You know, when I first started bear hunting, there really

1109
00:55:44,440 --> 00:55:47,279
Speaker 2: was a vermin mentality.

1110
00:55:48,080 --> 00:55:50,240
Speaker 1: Before you give people access to an animal.

1111
00:55:50,239 --> 00:55:53,640
Speaker 2: It's a vermin mentality because it's like, what what good

1112
00:55:53,640 --> 00:55:54,480
Speaker 2: does a bear do me?

1113
00:55:54,960 --> 00:55:55,120
Speaker 1: Right?

1114
00:55:55,160 --> 00:55:57,560
Speaker 2: And I think that's a lot of the sentiment down

1115
00:55:57,600 --> 00:56:00,480
Speaker 2: there with some of the big landowners is these there's

1116
00:56:00,520 --> 00:56:03,160
Speaker 2: some areas that have a lot of bears in Mississippi

1117
00:56:03,600 --> 00:56:06,600
Speaker 2: where guys are seeing bears like almost every time they

1118
00:56:06,600 --> 00:56:07,320
Speaker 2: go deer hunting.

1119
00:56:07,560 --> 00:56:08,040
Speaker 1: Am I right?

1120
00:56:08,200 --> 00:56:08,359
Speaker 3: Yep?

1121
00:56:08,600 --> 00:56:11,160
Speaker 2: I mean not everywhere, but there are camps down there

1122
00:56:11,160 --> 00:56:13,640
Speaker 2: where it's just like, oh gosh, well of course I'm

1123
00:56:13,640 --> 00:56:19,240
Speaker 2: going to see a bear, and where there's no reason

1124
00:56:19,320 --> 00:56:23,360
Speaker 2: for that landowner to to no incentive for him to

1125
00:56:24,080 --> 00:56:26,120
Speaker 2: want that bear there, you know, where if you could

1126
00:56:26,840 --> 00:56:30,360
Speaker 2: every couple of years take one have some bear meetings,

1127
00:56:30,440 --> 00:56:32,840
Speaker 2: bear fat and a bear rug, and all of a sudden,

1128
00:56:32,840 --> 00:56:35,400
Speaker 2: there's this cultural value added to the animal.

1129
00:56:35,760 --> 00:56:39,080
Speaker 3: Yeah, you know, well, and going back to that vermin mentality,

1130
00:56:39,680 --> 00:56:42,640
Speaker 3: there's also a pretty strong contingency of people. I think

1131
00:56:42,760 --> 00:56:46,000
Speaker 3: that their understanding is if we could only get a

1132
00:56:46,040 --> 00:56:49,040
Speaker 3: bear season, then all these nuisance problems would go away,

1133
00:56:49,360 --> 00:56:51,239
Speaker 3: like all this would just be solved because we've got

1134
00:56:51,360 --> 00:56:54,160
Speaker 3: a season now. And you know, the fact of the

1135
00:56:54,160 --> 00:56:56,560
Speaker 3: matter is, that's not the reason that that season is

1136
00:56:56,600 --> 00:56:58,839
Speaker 3: going into place to begin with. The reason for that

1137
00:56:58,960 --> 00:57:01,880
Speaker 3: is to provide opportunity to the landowner, and it's to

1138
00:57:01,880 --> 00:57:06,000
Speaker 3: provide a mechanism for us to accomplish the goals of

1139
00:57:06,239 --> 00:57:10,080
Speaker 3: managing that species. And you know, is it possible, you know,

1140
00:57:10,160 --> 00:57:12,279
Speaker 3: is it possible that it's going to reduce conflict in

1141
00:57:12,280 --> 00:57:14,719
Speaker 3: certain areas. Sure, but that's not the reason that we're

1142
00:57:14,760 --> 00:57:16,600
Speaker 3: putting this all together. And so I think a lot

1143
00:57:16,640 --> 00:57:18,880
Speaker 3: of people kind of get that, you know, conflated in

1144
00:57:18,920 --> 00:57:21,080
Speaker 3: their minds as like, Okay, if we could only get

1145
00:57:21,080 --> 00:57:22,880
Speaker 3: to this point, then all these problems are going to

1146
00:57:22,920 --> 00:57:26,000
Speaker 3: go away. And like I said, that's why this education

1147
00:57:26,120 --> 00:57:29,240
Speaker 3: is so important, is because you know, this is as

1148
00:57:29,280 --> 00:57:30,920
Speaker 3: long as we're going to have bears, you're going to

1149
00:57:30,960 --> 00:57:32,680
Speaker 3: have to know about how to live with them.

1150
00:57:32,920 --> 00:57:37,040
Speaker 2: Yeah, so this week is is Bear Week.

1151
00:57:37,520 --> 00:57:42,120
Speaker 1: Yeah in Mississippi. Wow. So you're are are y'all, what

1152
00:57:42,120 --> 00:57:43,440
Speaker 1: what are you doing anything?

1153
00:57:43,560 --> 00:57:45,040
Speaker 2: Or is it just kind of like you're just talking

1154
00:57:45,080 --> 00:57:47,240
Speaker 2: about it on online social media?

1155
00:57:47,520 --> 00:57:50,120
Speaker 3: Yeah? So it was. It was kind of organic. It

1156
00:57:50,120 --> 00:57:53,000
Speaker 3: came about last year for the first time, and you know,

1157
00:57:53,080 --> 00:57:55,560
Speaker 3: we're we're told in our bureau, you know, if you've

1158
00:57:55,600 --> 00:57:58,400
Speaker 3: got stuff, pictures, videos, anything like that that you can

1159
00:57:58,440 --> 00:58:01,000
Speaker 3: send to our social media people. You know, they'll put

1160
00:58:01,000 --> 00:58:03,160
Speaker 3: that stuff out there. They're really good at just you know,

1161
00:58:03,280 --> 00:58:06,040
Speaker 3: creating things out of the content that we give them.

1162
00:58:06,680 --> 00:58:10,720
Speaker 3: And yesterday, excuse me, last year, right after Aden season

1163
00:58:10,800 --> 00:58:13,120
Speaker 3: was over, we had a lot of content and we

1164
00:58:13,160 --> 00:58:16,360
Speaker 3: had you know, pictures, videos, that kind of stuff, and

1165
00:58:16,720 --> 00:58:18,560
Speaker 3: the comment was made, hey, well we've got a whole

1166
00:58:18,560 --> 00:58:20,760
Speaker 3: We've got enough stuff here to do an entire week.

1167
00:58:21,360 --> 00:58:23,360
Speaker 3: It's like, well, why don't we just do an entire week?

1168
00:58:23,400 --> 00:58:26,320
Speaker 3: And so Bear Week was kind of formed, you know, organically,

1169
00:58:26,320 --> 00:58:28,440
Speaker 3: we threw everything together and put it out. It was

1170
00:58:28,480 --> 00:58:31,240
Speaker 3: a really big success. This year. We were able to

1171
00:58:31,320 --> 00:58:34,160
Speaker 3: kind of you know, steer that in a more organized

1172
00:58:34,160 --> 00:58:37,120
Speaker 3: direction and actually add some structure to it and and

1173
00:58:37,480 --> 00:58:39,439
Speaker 3: you know figure out kind of the direction we wanted

1174
00:58:39,520 --> 00:58:41,920
Speaker 3: to take. And essentially what it is is, you know,

1175
00:58:42,040 --> 00:58:44,800
Speaker 3: highlighting the research that we're doing in the state, some

1176
00:58:44,840 --> 00:58:48,400
Speaker 3: general knowledge about black bears, and really overall just to

1177
00:58:48,800 --> 00:58:51,960
Speaker 3: you know, to raise awareness of people. It's on Facebook

1178
00:58:51,960 --> 00:58:56,640
Speaker 3: and Instagram. It's on Mississippi Wildlife and Fisheries Facebook.

1179
00:58:56,640 --> 00:58:59,440
Speaker 1: Wag what's your main Facebook page that you created?

1180
00:59:00,120 --> 00:59:02,160
Speaker 3: So the Facebook page that I created that was on

1181
00:59:02,240 --> 00:59:04,560
Speaker 3: the end of bear Wheat last year, so that was April.

1182
00:59:04,640 --> 00:59:08,320
Speaker 3: The second I think was the what's called It's called

1183
00:59:08,320 --> 00:59:11,080
Speaker 3: the Mississippi Black Bears Mississippi Black Bear. Yeah, it's got

1184
00:59:11,080 --> 00:59:13,520
Speaker 3: a blue background and then a yellow picture of a

1185
00:59:13,560 --> 00:59:14,040
Speaker 3: bear crossing.

1186
00:59:14,040 --> 00:59:14,840
Speaker 1: So it's really neat.

1187
00:59:14,880 --> 00:59:17,240
Speaker 2: He posts all the time, like real time stuff when

1188
00:59:17,240 --> 00:59:20,880
Speaker 2: he's out catching bears and when people send him pictures

1189
00:59:20,880 --> 00:59:22,680
Speaker 2: of bears and different stuff.

1190
00:59:22,680 --> 00:59:23,760
Speaker 1: So he's done a good job of that.

1191
00:59:24,040 --> 00:59:27,080
Speaker 3: Yeah. So the official thing that we tell people to

1192
00:59:27,200 --> 00:59:31,040
Speaker 3: report sightings is MDDWFP dot com. Go to the Black

1193
00:59:31,040 --> 00:59:33,640
Speaker 3: Bear Program page and there's an option there to report

1194
00:59:33,640 --> 00:59:36,600
Speaker 3: a black bear sighting. It asked for a lot of information.

1195
00:59:37,120 --> 00:59:39,080
Speaker 3: Some people that are not as computer savvy or don't

1196
00:59:39,080 --> 00:59:40,440
Speaker 3: want to go through that, you know, to find it

1197
00:59:40,480 --> 00:59:42,840
Speaker 3: to be a hassle. The thought was, well, if there's

1198
00:59:42,840 --> 00:59:45,320
Speaker 3: a Facebook page, you know, everybody wants you to see

1199
00:59:45,320 --> 00:59:48,120
Speaker 3: their game camera pictures, and so the thought was that

1200
00:59:48,160 --> 00:59:49,840
Speaker 3: they could just pluck it off their phone, put it

1201
00:59:49,880 --> 00:59:52,520
Speaker 3: on a Facebook and that may be a sighting that

1202
00:59:52,560 --> 00:59:54,840
Speaker 3: we don't capture otherwise. And so it was to kind

1203
00:59:54,840 --> 00:59:57,360
Speaker 3: of capture, you know, the stuff that was falling through

1204
00:59:57,360 --> 01:00:00,439
Speaker 3: the cracks the people didn't want to actually report via

1205
01:00:00,440 --> 01:00:05,600
Speaker 3: the website. And as it progressed, it turned more into

1206
01:00:06,680 --> 01:00:09,880
Speaker 3: it did service that as a mechanism, still does, but

1207
01:00:10,280 --> 01:00:12,840
Speaker 3: I also found more and more utility with it because

1208
01:00:13,080 --> 01:00:15,840
Speaker 3: at the time we were moving into southwest Mississippi to

1209
01:00:15,880 --> 01:00:17,400
Speaker 3: try to do a lot of trapping and collar and

1210
01:00:17,440 --> 01:00:19,800
Speaker 3: we had ten plus collars to put out last year,

1211
01:00:20,480 --> 01:00:22,880
Speaker 3: and you know, in the Delta kind of that bread

1212
01:00:22,920 --> 01:00:25,600
Speaker 3: basket area, we had a lot of contacts, We had

1213
01:00:25,600 --> 01:00:27,680
Speaker 3: a lot of people that we've always worked with, and

1214
01:00:27,720 --> 01:00:29,720
Speaker 3: then once we moved outside of that, we were kind

1215
01:00:29,760 --> 01:00:32,760
Speaker 3: of starting from scratch again. And so that social media

1216
01:00:33,080 --> 01:00:36,240
Speaker 3: platform was able to fill the gaps and when people would,

1217
01:00:36,320 --> 01:00:39,080
Speaker 3: you know, put a sighting on there. Again, most of

1218
01:00:39,080 --> 01:00:41,040
Speaker 3: the time it's game camera pictures, so I can look

1219
01:00:41,080 --> 01:00:43,560
Speaker 3: at the time and date, I can contact that person

1220
01:00:43,840 --> 01:00:48,080
Speaker 3: via Messenger. And I gained access to probably ninety five

1221
01:00:48,160 --> 01:00:51,200
Speaker 3: percent of the properties that I was on over the

1222
01:00:51,240 --> 01:00:56,000
Speaker 3: past summer through the Facebook page. And so it's and

1223
01:00:56,040 --> 01:00:59,640
Speaker 3: then you know, as it's progressed, I've also put out

1224
01:00:59,640 --> 01:01:02,640
Speaker 3: some stuff about our research. Here's some bears that we're collaring,

1225
01:01:02,720 --> 01:01:05,080
Speaker 3: here's some stuff that we're doing. And then kind of

1226
01:01:05,080 --> 01:01:07,920
Speaker 3: a continuation of that, you know, with Bear Week, we're

1227
01:01:07,960 --> 01:01:09,720
Speaker 3: also sharing all that content on there as well.

1228
01:01:10,160 --> 01:01:21,840
Speaker 2: So I want to talk about bears in trees. That's

1229
01:01:21,880 --> 01:01:26,520
Speaker 2: a unique thing for the flood plone prone regions of

1230
01:01:26,560 --> 01:01:32,240
Speaker 2: the Southeast. Uh is that you guys bears. And the

1231
01:01:32,280 --> 01:01:34,480
Speaker 2: reason I'm saying this is is I put a video

1232
01:01:34,600 --> 01:01:36,760
Speaker 2: up on my Instagram.

1233
01:01:36,800 --> 01:01:38,640
Speaker 1: I think it got a million views, didn't it?

1234
01:01:38,760 --> 01:01:39,160
Speaker 3: I think so?

1235
01:01:39,320 --> 01:01:39,520
Speaker 2: Yeah.

1236
01:01:39,520 --> 01:01:42,080
Speaker 3: I think Brent's got like a million and a half,

1237
01:01:42,160 --> 01:01:44,880
Speaker 3: yours got a million, and there were there's been several

1238
01:01:44,960 --> 01:01:47,960
Speaker 3: others that were really Yeah.

1239
01:01:48,000 --> 01:01:56,320
Speaker 2: So basically Christy the Bears Bears person and misty the

1240
01:01:56,360 --> 01:02:00,920
Speaker 2: flood the flood prone regions. These bears are in these

1241
01:02:01,360 --> 01:02:04,360
Speaker 2: ancient cypress trees that have big cavities.

1242
01:02:04,680 --> 01:02:06,600
Speaker 1: So when I was with Anthony.

1243
01:02:06,400 --> 01:02:08,840
Speaker 7: How tall are these trees? Giving me some contexts?

1244
01:02:09,280 --> 01:02:11,120
Speaker 3: Uh, the one that we did when Clay and Brent

1245
01:02:11,240 --> 01:02:12,680
Speaker 3: came out was about fifty feet.

1246
01:02:12,800 --> 01:02:13,640
Speaker 1: Wow, my gosh.

1247
01:02:14,440 --> 01:02:15,920
Speaker 7: And how big is a cavity?

1248
01:02:16,080 --> 01:02:18,440
Speaker 3: Like when you it depends, So as the tree grows,

1249
01:02:18,440 --> 01:02:20,520
Speaker 3: they'll have certain spots that kind of ride out, maybe

1250
01:02:20,520 --> 01:02:22,479
Speaker 3: a branch that broke off or whatever, and it leaves

1251
01:02:22,520 --> 01:02:24,680
Speaker 3: a you know, a void there, and so the tree

1252
01:02:24,720 --> 01:02:27,360
Speaker 3: is alive and well, but those cavities start to form,

1253
01:02:27,840 --> 01:02:30,480
Speaker 3: and you know, sometimes it's just kind of a shallow

1254
01:02:30,520 --> 01:02:33,440
Speaker 3: depression that's really not much to it. Sometimes that cavity

1255
01:02:33,480 --> 01:02:34,880
Speaker 3: will go all the way through the trunk of the

1256
01:02:34,880 --> 01:02:37,040
Speaker 3: tree and the bear will literally be on the ground

1257
01:02:37,160 --> 01:02:38,320
Speaker 3: inside the tree.

1258
01:02:38,320 --> 01:02:41,440
Speaker 1: But he's but he's accessing a hole way up high right.

1259
01:02:41,560 --> 01:02:43,360
Speaker 3: So yeah, on some of them, you'll have to climb

1260
01:02:43,560 --> 01:02:45,960
Speaker 3: forty feet to get to the cavity opening and then

1261
01:02:45,960 --> 01:02:47,640
Speaker 3: climb forty feet all the way back down to get

1262
01:02:47,640 --> 01:02:48,480
Speaker 3: to the bear inside.

1263
01:02:48,480 --> 01:02:51,600
Speaker 7: Wow, and you're doing that? Yeah, Well, you're going to

1264
01:02:51,720 --> 01:02:54,480
Speaker 7: get into the cavity of a tree with a bear.

1265
01:02:55,200 --> 01:02:57,840
Speaker 2: So the bear, the one that I went with him on,

1266
01:02:58,080 --> 01:03:01,360
Speaker 2: he so they have to rip hell. And they're using

1267
01:03:01,520 --> 01:03:04,640
Speaker 2: the techniques that like an arborist would use, like if

1268
01:03:04,640 --> 01:03:07,240
Speaker 2: they were going to cut down a tree that's you know,

1269
01:03:07,280 --> 01:03:10,800
Speaker 2: So they like throw their ropes up and then Anthony's

1270
01:03:10,840 --> 01:03:14,920
Speaker 2: got this little these little climber Yeah, I don't know,

1271
01:03:14,960 --> 01:03:19,680
Speaker 2: there's little mechanisms that ascenders, and so you know, he

1272
01:03:20,160 --> 01:03:24,320
Speaker 2: climbs fifty foot up this tree and the one I saw,

1273
01:03:24,560 --> 01:03:28,240
Speaker 2: the hole was about I don't know, twice as big

1274
01:03:28,280 --> 01:03:29,560
Speaker 2: as a fifty five gallon drum.

1275
01:03:30,760 --> 01:03:31,960
Speaker 1: Yeah, maybe not quite.

1276
01:03:32,880 --> 01:03:36,400
Speaker 2: Yeah, And and this tree just kind of like comes

1277
01:03:36,440 --> 01:03:39,160
Speaker 2: up and just has this like open hole at the time,

1278
01:03:39,240 --> 01:03:42,400
Speaker 2: like almost like a.

1279
01:03:41,960 --> 01:03:43,960
Speaker 6: Just I don't know, you can just cylinder.

1280
01:03:44,120 --> 01:03:45,720
Speaker 2: Yeah, you could have just stood in it and you'd

1281
01:03:45,800 --> 01:03:49,240
Speaker 2: got rain on your head. And that bear was just

1282
01:03:49,400 --> 01:03:52,840
Speaker 2: dinned up like right in that hole. And so Anthony

1283
01:03:52,960 --> 01:03:56,240
Speaker 2: was peeking over looking at this bear and tell us

1284
01:03:56,240 --> 01:03:56,959
Speaker 2: about that one.

1285
01:03:57,200 --> 01:03:59,440
Speaker 3: So the thing that made that cabin, like every cavity

1286
01:03:59,480 --> 01:04:02,880
Speaker 3: is different, and so sometimes you're you're whenever you first

1287
01:04:02,880 --> 01:04:05,520
Speaker 3: look over that cavity. You have no idea how far

1288
01:04:05,560 --> 01:04:08,200
Speaker 3: down that bear is. And so in this particular case,

1289
01:04:08,520 --> 01:04:11,000
Speaker 3: when you look over the ledge, that bear is right there,

1290
01:04:11,280 --> 01:04:14,760
Speaker 3: and you are like from me to Christy to the

1291
01:04:14,760 --> 01:04:16,959
Speaker 3: bear and so.

1292
01:04:17,280 --> 01:04:22,160
Speaker 4: And fifty feet in the air. Yeah, you're probably.

1293
01:04:24,080 --> 01:04:25,360
Speaker 1: You just cut yourself.

1294
01:04:27,520 --> 01:04:29,280
Speaker 3: Jerry Cloward to shoot up in here amongst us.

1295
01:04:29,320 --> 01:04:29,520
Speaker 1: Yeah.

1296
01:04:30,360 --> 01:04:33,360
Speaker 3: But and and the problem with that tree was the

1297
01:04:33,400 --> 01:04:35,680
Speaker 3: way it was shaped. I couldn't get like I like

1298
01:04:35,720 --> 01:04:37,880
Speaker 3: to get up above the cavity, because that way I

1299
01:04:37,880 --> 01:04:39,880
Speaker 3: can see the bear better, I can take a shot better.

1300
01:04:40,400 --> 01:04:43,120
Speaker 3: And the way that tree was shaped, I couldn't. And

1301
01:04:43,160 --> 01:04:47,080
Speaker 3: so I was basically right there even and so as

1302
01:04:47,080 --> 01:04:51,880
Speaker 3: I would peek over, we're basically face to face. And

1303
01:04:51,880 --> 01:04:53,160
Speaker 3: and that was one and then.

1304
01:04:53,040 --> 01:04:55,680
Speaker 7: Pretty docile right now, tell me.

1305
01:04:57,600 --> 01:05:00,840
Speaker 5: You that way when you're fifty shift die side.

1306
01:05:01,280 --> 01:05:06,080
Speaker 3: Yeah. Being subjective, this particular female, this is the second

1307
01:05:06,160 --> 01:05:08,600
Speaker 3: time that she's been in this same tree. She did

1308
01:05:08,760 --> 01:05:13,400
Speaker 3: the same exact three last year. And she is not dicile.

1309
01:05:14,280 --> 01:05:17,560
Speaker 3: She was very upset that we were there. So one

1310
01:05:17,600 --> 01:05:19,600
Speaker 3: of the first things that I do is I'll screw

1311
01:05:19,640 --> 01:05:23,560
Speaker 3: in the tree spikes to have a platform to stand on.

1312
01:05:23,800 --> 01:05:25,280
Speaker 3: So I can kind of move around and take a

1313
01:05:25,280 --> 01:05:27,080
Speaker 3: shot in the coming and.

1314
01:05:27,440 --> 01:05:29,640
Speaker 1: The shot means he's trying to put it right.

1315
01:05:29,840 --> 01:05:34,200
Speaker 3: Yeah, we dart to anesthetize. And then so first we

1316
01:05:34,240 --> 01:05:36,240
Speaker 3: have to figure out where the bear dens. Then we

1317
01:05:36,280 --> 01:05:38,400
Speaker 3: have to figure out how to get into the den.

1318
01:05:39,120 --> 01:05:41,320
Speaker 3: Then we have to figure out if the sal that

1319
01:05:41,400 --> 01:05:44,360
Speaker 3: is supposed to have cubs actually does have cubs. And

1320
01:05:44,400 --> 01:05:48,080
Speaker 3: so all that process happens over the span of a

1321
01:05:48,120 --> 01:05:52,160
Speaker 3: few weeks. But in this particular situation, like whenever I

1322
01:05:52,160 --> 01:05:55,560
Speaker 3: started screwing that first tree spike in, she started huffing

1323
01:05:55,600 --> 01:05:57,320
Speaker 3: and popping her jaws, and it's like she knew I

1324
01:05:57,360 --> 01:06:01,280
Speaker 3: was there, no doubt, and she hid so by the.

1325
01:06:01,280 --> 01:06:03,680
Speaker 6: First she's like, we've met before you.

1326
01:06:05,240 --> 01:06:09,120
Speaker 3: Again. So whenever I first peeked over the ledge right

1327
01:06:09,120 --> 01:06:12,919
Speaker 3: there where she was in view, she had already backed

1328
01:06:13,000 --> 01:06:15,200
Speaker 3: up and she was she was facing the back of

1329
01:06:15,200 --> 01:06:17,240
Speaker 3: the cavity or excuse me, to her back to the

1330
01:06:18,560 --> 01:06:22,400
Speaker 3: facing me. Ears laid back and as I would as

1331
01:06:22,400 --> 01:06:24,600
Speaker 3: I would peek over, she would swat at me and

1332
01:06:24,640 --> 01:06:26,600
Speaker 3: she would hit the side of the tree.

1333
01:06:26,800 --> 01:06:29,680
Speaker 2: We're on the ground watching this, and he's like hanging

1334
01:06:29,680 --> 01:06:32,960
Speaker 2: off this tree and he'll kind of like around and

1335
01:06:32,960 --> 01:06:35,360
Speaker 2: then he'd go jump back.

1336
01:06:36,920 --> 01:06:37,760
Speaker 3: She didn't have cubs.

1337
01:06:37,760 --> 01:06:41,800
Speaker 2: Now you'd hear the bear like you'd hear the bear

1338
01:06:41,880 --> 01:06:42,439
Speaker 2: hit the tree.

1339
01:06:42,520 --> 01:06:44,480
Speaker 1: And I mean, yeah, it was pretty intense. It was

1340
01:06:44,560 --> 01:06:47,320
Speaker 1: good I get that hour out of the tree.

1341
01:06:47,840 --> 01:06:50,560
Speaker 3: No, so assuming that she had had cubs and we

1342
01:06:50,840 --> 01:06:54,240
Speaker 3: and we had darted her and actually anesthetizer, Uh, the

1343
01:06:54,280 --> 01:06:57,479
Speaker 3: next step would have been to get my little work

1344
01:06:57,520 --> 01:06:59,880
Speaker 3: up kit up into the tree. So I'll screw it

1345
01:07:00,040 --> 01:07:02,880
Speaker 3: and some kind of pulley. The folks on the ground

1346
01:07:02,920 --> 01:07:05,000
Speaker 3: will pull that up. I start them on something medal

1347
01:07:05,040 --> 01:07:10,720
Speaker 3: oxygen in the tree. I'll monitor vitals inside the tree,

1348
01:07:11,080 --> 01:07:14,200
Speaker 3: and then we take the Like I said, as soon

1349
01:07:14,200 --> 01:07:16,800
Speaker 3: as she had a litric cubs, we've taken those. There's

1350
01:07:16,840 --> 01:07:18,800
Speaker 3: little bags that we put them in and lower them down,

1351
01:07:19,000 --> 01:07:21,920
Speaker 3: and the work up on the cubs. The measurements we

1352
01:07:22,000 --> 01:07:25,000
Speaker 3: put pit tags in, put others, you know, take other

1353
01:07:25,040 --> 01:07:28,760
Speaker 3: measurements weight and that sort of thing, general health, age

1354
01:07:28,800 --> 01:07:31,960
Speaker 3: and sex, count the cubs, that kind of thing. And

1355
01:07:32,280 --> 01:07:35,200
Speaker 3: after all that's done, all that data is collected, then

1356
01:07:35,480 --> 01:07:40,360
Speaker 3: they'll get hurt, get get the cubs back up the tree,

1357
01:07:40,480 --> 01:07:43,320
Speaker 3: and then we'll put them back in the thing, back

1358
01:07:43,360 --> 01:07:46,080
Speaker 3: in the den, and then we'll give them the reversal drug.

1359
01:07:47,360 --> 01:07:52,240
Speaker 2: So quickly tell me this story about the cub, the

1360
01:07:52,400 --> 01:07:53,120
Speaker 2: orphaned cub.

1361
01:07:54,440 --> 01:07:58,880
Speaker 3: So when you have some type of problems with abandonment,

1362
01:07:59,120 --> 01:08:02,160
Speaker 3: it's generally that first letter that the that the sal

1363
01:08:02,280 --> 01:08:04,880
Speaker 3: has uh. We knew that she was three years old

1364
01:08:05,120 --> 01:08:07,360
Speaker 3: because she was actually caught for the first time when

1365
01:08:07,400 --> 01:08:09,880
Speaker 3: she was a yearling, so we knew how old she was.

1366
01:08:10,400 --> 01:08:11,920
Speaker 3: I didn't know for sure whether she was gonna have

1367
01:08:11,960 --> 01:08:12,440
Speaker 3: cubs or not.

1368
01:08:13,080 --> 01:08:16,080
Speaker 2: But this is a second bear. So we we went

1369
01:08:16,120 --> 01:08:18,880
Speaker 2: to this first tree didn't have a cub, this mean bear.

1370
01:08:19,320 --> 01:08:22,320
Speaker 2: And then we went to this other there's this is

1371
01:08:22,360 --> 01:08:23,120
Speaker 2: a different sal.

1372
01:08:23,320 --> 01:08:27,519
Speaker 3: Yep, different sal. And we had the day before that

1373
01:08:27,840 --> 01:08:30,519
Speaker 3: we had actually done the din check itself, so we

1374
01:08:30,560 --> 01:08:35,400
Speaker 3: had gotten everything went super well. We had gotten the cub,

1375
01:08:35,840 --> 01:08:38,320
Speaker 3: did all of our stuff, put her back. Everything was good.

1376
01:08:38,800 --> 01:08:40,800
Speaker 3: We had gotten back to the camp about an hour

1377
01:08:40,880 --> 01:08:43,720
Speaker 3: later and we had set up a cell camera on

1378
01:08:43,760 --> 01:08:46,080
Speaker 3: the tree to look at when the sal comes down,

1379
01:08:46,120 --> 01:08:49,639
Speaker 3: like look at emergent states from from our dens. And

1380
01:08:49,880 --> 01:08:52,320
Speaker 3: we saw that the Sal had gotten out and left.

1381
01:08:53,200 --> 01:08:55,599
Speaker 3: And to make a long story short, she never did

1382
01:08:55,640 --> 01:08:58,720
Speaker 3: actually come back into the den uh into that dent

1383
01:08:58,800 --> 01:08:59,880
Speaker 3: tree she.

1384
01:09:00,080 --> 01:09:01,200
Speaker 1: Had she had one cub.

1385
01:09:01,280 --> 01:09:03,639
Speaker 3: She had a single cub, Yeah, and it was kind

1386
01:09:03,640 --> 01:09:05,840
Speaker 3: of one of those things where you know, you don't

1387
01:09:05,840 --> 01:09:08,800
Speaker 3: want to intervene too early, but you also don't want

1388
01:09:08,800 --> 01:09:11,160
Speaker 3: to let it wait too long and the cub gets

1389
01:09:11,160 --> 01:09:14,080
Speaker 3: dehydrated and there's a lot of other problems that could

1390
01:09:14,120 --> 01:09:17,080
Speaker 3: have arisen. And basically the position that we were in

1391
01:09:17,200 --> 01:09:20,280
Speaker 3: right after y'all left was we had a big storm

1392
01:09:20,320 --> 01:09:23,880
Speaker 3: coming in Friday morning, and you know how hard it

1393
01:09:23,960 --> 01:09:27,000
Speaker 3: was to get back there in quote unquote dry weather,

1394
01:09:27,560 --> 01:09:29,720
Speaker 3: and it was about to be impossible. So it was

1395
01:09:29,760 --> 01:09:33,040
Speaker 3: either take the cub then or had to wait let

1396
01:09:33,120 --> 01:09:34,320
Speaker 3: me potentially another week.

1397
01:09:35,000 --> 01:09:37,960
Speaker 2: As I began to understand it, so when you're doing

1398
01:09:38,000 --> 01:09:40,639
Speaker 2: these den studies, collared soles, and this is something that's

1399
01:09:40,840 --> 01:09:45,080
Speaker 2: very very understood across the country because almost every state

1400
01:09:45,120 --> 01:09:47,320
Speaker 2: that has bears is going to have some animals collared

1401
01:09:47,320 --> 01:09:50,600
Speaker 2: and do some type of den study. Some percentage of

1402
01:09:51,000 --> 01:09:54,320
Speaker 2: females don't respond well to people coming in and messing

1403
01:09:54,360 --> 01:09:56,400
Speaker 2: with them. It's usually the young ones.

1404
01:09:56,360 --> 01:09:58,200
Speaker 3: Well, and normally, you know, we have a lot of

1405
01:09:58,200 --> 01:10:00,799
Speaker 3: ground dens and they have a lot more chants obviously

1406
01:10:00,840 --> 01:10:03,120
Speaker 3: of you know, getting out of the den and escaping

1407
01:10:03,160 --> 01:10:07,080
Speaker 3: whenever people come to do the checks, and they'll come

1408
01:10:07,160 --> 01:10:08,880
Speaker 3: right back. I mean, there's you know.

1409
01:10:09,040 --> 01:10:10,759
Speaker 1: So most of the time it's a non issue.

1410
01:10:10,920 --> 01:10:11,160
Speaker 3: That's it.

1411
01:10:11,360 --> 01:10:14,839
Speaker 2: It's intruding on a soul, tranquilizing her, checking her cubs,

1412
01:10:14,880 --> 01:10:17,800
Speaker 2: and then she wakes up and smells humans and knows

1413
01:10:17,880 --> 01:10:22,400
Speaker 2: something back, you know, something happened that you know, high

1414
01:10:22,400 --> 01:10:23,840
Speaker 2: percentage of sALS don't care.

1415
01:10:24,080 --> 01:10:25,640
Speaker 3: Well, I'll put it this way, this one did. In

1416
01:10:25,680 --> 01:10:28,440
Speaker 3: the twenty years that we've done BAAR research in Mississippi

1417
01:10:28,560 --> 01:10:31,320
Speaker 3: and all the dozens or hundreds of DIN checks that

1418
01:10:31,360 --> 01:10:34,400
Speaker 3: have been performed, I think there's been two other situations

1419
01:10:34,400 --> 01:10:37,839
Speaker 3: of abandonment that whole amount of time. So it is

1420
01:10:37,880 --> 01:10:41,439
Speaker 3: extremely rare for that, yeah happen. Yeah, right, And so

1421
01:10:42,160 --> 01:10:44,760
Speaker 3: once we were able to make the decision of like, hey,

1422
01:10:45,000 --> 01:10:46,720
Speaker 3: you know, we need to go ahead and get this

1423
01:10:46,720 --> 01:10:50,479
Speaker 3: this cub, the standard procedure that we have is if

1424
01:10:50,479 --> 01:10:53,200
Speaker 3: we have another SAL that has cubs, we put them

1425
01:10:53,200 --> 01:10:56,240
Speaker 3: with that, we add the orphan sal to that letter.

1426
01:10:57,720 --> 01:11:01,639
Speaker 3: And you know, almost vast, vast majority of the time

1427
01:11:02,439 --> 01:11:05,680
Speaker 3: there's there's no problem. She'll take them and and raise

1428
01:11:05,720 --> 01:11:08,240
Speaker 3: them as wrong. And so that's what you did, That's

1429
01:11:08,280 --> 01:11:10,680
Speaker 3: what we did. So that was on Friday, excuse me,

1430
01:11:10,720 --> 01:11:13,280
Speaker 3: that was on Thursday night that we went back and

1431
01:11:13,320 --> 01:11:19,080
Speaker 3: got the cub that gave it puppy formula. Actually okay,

1432
01:11:19,120 --> 01:11:19,400
Speaker 3: you know.

1433
01:11:19,360 --> 01:11:21,680
Speaker 1: To keep keep overnight.

1434
01:11:21,800 --> 01:11:24,519
Speaker 2: So what happened We just went and messed with this

1435
01:11:24,680 --> 01:11:27,920
Speaker 2: mean bear in the morning, and then by that afternoon,

1436
01:11:28,960 --> 01:11:32,920
Speaker 2: Anthony and his team had been watching on cell camera

1437
01:11:33,080 --> 01:11:35,920
Speaker 2: whether this sal had come back, and she hadn't, and

1438
01:11:36,040 --> 01:11:38,240
Speaker 2: so like all day it's like I heard him talking,

1439
01:11:38,760 --> 01:11:41,120
Speaker 2: you know, it'd be like, man, that's sound steal it

1440
01:11:41,240 --> 01:11:43,599
Speaker 2: and back from the den study of the day before,

1441
01:11:44,280 --> 01:11:45,519
Speaker 2: and it was like, man, what do we do?

1442
01:11:45,600 --> 01:11:46,160
Speaker 1: What do we do?

1443
01:11:46,280 --> 01:11:47,160
Speaker 3: And all day.

1444
01:11:47,240 --> 01:11:50,080
Speaker 2: Anthony was fretting over, you know, should we go, you know,

1445
01:11:50,280 --> 01:11:52,600
Speaker 2: is she gonna come? And then there's a timestamp on

1446
01:11:52,680 --> 01:11:56,240
Speaker 2: how long a couple survive without a nursing cub. You know,

1447
01:11:56,439 --> 01:11:59,519
Speaker 2: we'll survive without milk, they'll you know, dehydrate and what not.

1448
01:12:00,040 --> 01:12:03,439
Speaker 2: And so that afternoon, me and Brent we went back

1449
01:12:04,000 --> 01:12:07,960
Speaker 2: with them to see if the sow was there, and

1450
01:12:08,040 --> 01:12:11,840
Speaker 2: she wasn't, and but we heard the cub crying up

1451
01:12:11,880 --> 01:12:15,760
Speaker 2: in the tree just you know, and.

1452
01:12:14,800 --> 01:12:16,640
Speaker 3: Uh, and not only that, but you know with that

1453
01:12:16,640 --> 01:12:19,160
Speaker 3: big storm that came through that that cub would have

1454
01:12:19,160 --> 01:12:23,120
Speaker 3: gotten rained on inside where that den was and possibly

1455
01:12:23,160 --> 01:12:25,719
Speaker 3: could have gotten hypothermic as well. Yeah, that was another

1456
01:12:25,720 --> 01:12:27,240
Speaker 3: reason why we made the decision to go ahead and

1457
01:12:27,240 --> 01:12:27,559
Speaker 3: get her.

1458
01:12:27,720 --> 01:12:30,680
Speaker 2: And so you took her that night. Kepper kept his

1459
01:12:30,720 --> 01:12:35,280
Speaker 2: little male. Cub kept him.

1460
01:12:33,960 --> 01:12:35,400
Speaker 1: Was a female. I was saying it was a male.

1461
01:12:35,479 --> 01:12:40,800
Speaker 3: Okay, yeah, anyway, so keper overnight and then Saturday was

1462
01:12:40,920 --> 01:12:44,160
Speaker 3: when we went down to Wilkinson County, which is southwest Mississippi,

1463
01:12:44,160 --> 01:12:47,040
Speaker 3: Woodville area, and we had a sal down there that

1464
01:12:47,120 --> 01:12:49,600
Speaker 3: had three cubs. Come to find out. I knew she

1465
01:12:49,640 --> 01:12:53,559
Speaker 3: had either two or three, and so darted her. Everything

1466
01:12:53,600 --> 01:12:56,640
Speaker 3: went well with that, introduced the fourth cub, and I

1467
01:12:56,720 --> 01:12:59,360
Speaker 3: recently got a picture from the landowner with the sow

1468
01:12:59,400 --> 01:13:00,480
Speaker 3: and all four cub.

1469
01:13:01,920 --> 01:13:03,560
Speaker 4: That's super cool.

1470
01:13:03,960 --> 01:13:06,000
Speaker 7: Can you imagine that bear waking up where did you

1471
01:13:06,040 --> 01:13:06,559
Speaker 7: come from?

1472
01:13:08,120 --> 01:13:08,800
Speaker 1: Waking up and.

1473
01:13:10,040 --> 01:13:13,360
Speaker 2: Wait and walking into my house and being like having

1474
01:13:13,360 --> 01:13:19,120
Speaker 2: a new kid. Yeah, wait a minute, okay, whatever, I'll

1475
01:13:19,120 --> 01:13:19,600
Speaker 2: take care of you.

1476
01:13:19,640 --> 01:13:21,439
Speaker 3: She probably didn't go back to sleep after that just

1477
01:13:21,439 --> 01:13:25,440
Speaker 3: in case, right, right.

1478
01:13:25,320 --> 01:13:28,400
Speaker 2: Oh, that's so cool and and so did y'all lip

1479
01:13:28,400 --> 01:13:29,280
Speaker 2: tattoo that will go.

1480
01:13:29,960 --> 01:13:32,040
Speaker 3: No, we we kind of moved away from lip tattoos,

1481
01:13:32,720 --> 01:13:35,519
Speaker 3: but we do put in pit tags, which is it's

1482
01:13:35,520 --> 01:13:37,479
Speaker 3: about the size of a grain of rice. It's essentially

1483
01:13:37,560 --> 01:13:39,880
Speaker 3: like a micro chip that you put in dogs and cats,

1484
01:13:40,439 --> 01:13:43,879
Speaker 3: and we do that to every bear that last. Yeah,

1485
01:13:43,920 --> 01:13:47,080
Speaker 3: it's it's injected under the skin and it's it doesn't

1486
01:13:47,120 --> 01:13:53,800
Speaker 3: have a battery, it's just like a scannable barcode almost. Yeah,

1487
01:13:53,840 --> 01:13:55,280
Speaker 3: so as long as it's under the skin.

1488
01:13:55,160 --> 01:13:56,240
Speaker 1: I've got one.

1489
01:13:56,640 --> 01:13:59,840
Speaker 4: Yeah, yeah, we need one of.

1490
01:13:59,840 --> 01:14:03,960
Speaker 3: The fun fact but you know, anything any bear that

1491
01:14:04,000 --> 01:14:05,320
Speaker 3: we get back in hand, that's one of the first

1492
01:14:05,320 --> 01:14:06,680
Speaker 3: things that we'll do with scan them for that pit

1493
01:14:06,760 --> 01:14:09,200
Speaker 3: tag and that way, if we can get that number,

1494
01:14:09,640 --> 01:14:11,519
Speaker 3: then we have a catalog where we can look back

1495
01:14:11,560 --> 01:14:14,439
Speaker 3: and see how many times we've captured that bear. You know,

1496
01:14:14,560 --> 01:14:16,960
Speaker 3: possibly if it's as if it's as a cub, we

1497
01:14:17,040 --> 01:14:19,600
Speaker 3: have a known age and you know, we've got a

1498
01:14:20,200 --> 01:14:22,880
Speaker 3: good profile of the history of the bear.

1499
01:14:23,040 --> 01:14:26,479
Speaker 2: Be really interesting to follow that bear's life, Ye saved,

1500
01:14:26,560 --> 01:14:27,240
Speaker 2: essentially saved.

1501
01:14:27,280 --> 01:14:28,840
Speaker 1: It's like, what's the bear's name.

1502
01:14:30,840 --> 01:14:34,400
Speaker 3: See, I hesitate to name the bears, and that kind

1503
01:14:34,400 --> 01:14:37,160
Speaker 3: of goes back to I didn't.

1504
01:14:36,880 --> 01:14:39,800
Speaker 2: Know that while we were there, there was a lot

1505
01:14:39,840 --> 01:14:43,680
Speaker 2: of potential names being tossed around, but no, no, I.

1506
01:14:43,680 --> 01:14:46,519
Speaker 3: Got you know, the name that was put that was

1507
01:14:46,520 --> 01:14:47,679
Speaker 3: put out there was Opie.

1508
01:14:47,920 --> 01:14:51,800
Speaker 1: Oh how cute. Yeah yeah, I was like, we'll put

1509
01:14:51,840 --> 01:14:52,479
Speaker 1: it in quotes.

1510
01:14:54,120 --> 01:14:56,519
Speaker 4: I like that name me too. We had a coon

1511
01:14:56,560 --> 01:14:58,639
Speaker 4: dog nam Opie once, terrible dog.

1512
01:14:59,840 --> 01:15:00,000
Speaker 2: More.

1513
01:15:02,120 --> 01:15:05,720
Speaker 5: Every morning I woke up and bring new new treasures.

1514
01:15:05,800 --> 01:15:07,880
Speaker 5: Once there was a dead bird, once there was a

1515
01:15:08,000 --> 01:15:09,040
Speaker 5: rock once.

1516
01:15:12,360 --> 01:15:13,479
Speaker 1: Yeah.

1517
01:15:13,520 --> 01:15:15,600
Speaker 3: But but kind of going back to, you know, the

1518
01:15:15,680 --> 01:15:19,360
Speaker 3: hunting thing, what I've tried to do was kind of

1519
01:15:20,320 --> 01:15:24,040
Speaker 3: keep it very scientific as far as referring to those

1520
01:15:24,240 --> 01:15:29,439
Speaker 3: those bears, because you know, people wouldn't really mind if

1521
01:15:29,640 --> 01:15:32,840
Speaker 3: if F thirty four got harvested in a hunt, but

1522
01:15:33,200 --> 01:15:34,520
Speaker 3: if Opie got shot.

1523
01:15:34,439 --> 01:15:39,599
Speaker 2: Oh yeah, scratch up, Yeah, that's good.

1524
01:15:39,920 --> 01:15:42,240
Speaker 3: And so that's that's one thing that I've kind of

1525
01:15:42,240 --> 01:15:46,519
Speaker 3: tried to change because the naming bears has been really common,

1526
01:15:46,960 --> 01:15:50,880
Speaker 3: especially in a state where you know, you can there's

1527
01:15:50,880 --> 01:15:54,200
Speaker 3: not a whole lot that you're working with. Yeah, but

1528
01:15:55,200 --> 01:15:56,559
Speaker 3: that's one thing that I'm kind of trying to move

1529
01:15:56,560 --> 01:15:57,000
Speaker 3: away from that.

1530
01:15:57,360 --> 01:15:58,040
Speaker 4: That's a good idea.

1531
01:15:58,120 --> 01:16:00,960
Speaker 2: What are as we close down here? What are you

1532
01:16:01,160 --> 01:16:04,360
Speaker 2: trap bears a lot? You've been trapping a lot of bears.

1533
01:16:04,400 --> 01:16:06,519
Speaker 2: What's a big one? What's the biggest one you've trapped?

1534
01:16:06,600 --> 01:16:09,240
Speaker 3: The biggest one over this past year was three eighty four,

1535
01:16:09,439 --> 01:16:11,760
Speaker 3: three eighty four male called one three eighty four and

1536
01:16:11,760 --> 01:16:14,040
Speaker 3: it caught three eighty one. So that was they were

1537
01:16:14,080 --> 01:16:17,800
Speaker 3: both one in Wilkinson excuse me, one in Franklin County

1538
01:16:17,840 --> 01:16:19,240
Speaker 3: and one in Claverant County.

1539
01:16:19,240 --> 01:16:22,160
Speaker 1: Do you think there's some big five hundred pounders out there?

1540
01:16:22,600 --> 01:16:27,439
Speaker 3: Yeah, so little little foreshadowing in in bear. We we

1541
01:16:27,520 --> 01:16:32,240
Speaker 3: do have a on Thursday calling it thick Thursday, and

1542
01:16:32,439 --> 01:16:34,880
Speaker 3: we're going to have a fat bear like competition. I

1543
01:16:34,880 --> 01:16:40,000
Speaker 3: guess people can people can post their bears in Mississippi,

1544
01:16:40,600 --> 01:16:42,400
Speaker 3: you know, which one they think is the biggest, and

1545
01:16:42,400 --> 01:16:46,360
Speaker 3: then we'll select a winner at the end of the week. Yeah,

1546
01:16:46,400 --> 01:16:48,320
Speaker 3: there's I've gotten pictures of some of the delta that

1547
01:16:48,360 --> 01:16:51,639
Speaker 3: I have no doubt or in the upper four hundreds

1548
01:16:51,680 --> 01:16:52,120
Speaker 3: at least.

1549
01:16:52,320 --> 01:16:52,799
Speaker 1: Yeah.

1550
01:16:53,080 --> 01:16:55,240
Speaker 3: Yeah, our biggest on records for sixty eight that was

1551
01:16:55,240 --> 01:16:56,440
Speaker 3: in Wilkinson County.

1552
01:16:56,200 --> 01:17:01,880
Speaker 2: Really begins begins. Well, well that's really that's that's awesome, man.

1553
01:17:02,200 --> 01:17:04,880
Speaker 2: Anything else we hadn't talked about that you you want

1554
01:17:04,920 --> 01:17:07,040
Speaker 2: to talk about Mississippi bears.

1555
01:17:08,880 --> 01:17:10,120
Speaker 1: We cover a lot of it.

1556
01:17:10,240 --> 01:17:11,320
Speaker 3: Yeah, we covered a lot of it.

1557
01:17:12,040 --> 01:17:12,880
Speaker 1: Well, you're you're.

1558
01:17:12,800 --> 01:17:15,120
Speaker 2: Welcome to come back up here anytime, man, you could

1559
01:17:15,200 --> 01:17:16,679
Speaker 2: just join in on a render.

1560
01:17:17,400 --> 01:17:18,360
Speaker 3: So love too, man.

1561
01:17:18,880 --> 01:17:24,720
Speaker 2: Man, I love seeing passionate people inside of positions like

1562
01:17:24,760 --> 01:17:27,880
Speaker 2: you're in, that are that really love the resource, that

1563
01:17:27,920 --> 01:17:32,519
Speaker 2: are working hard and uh and and looking long term

1564
01:17:32,680 --> 01:17:34,799
Speaker 2: down the road. So man, you're in a great position

1565
01:17:35,640 --> 01:17:39,519
Speaker 2: and I think you're doing a great job. So that's awesome.

1566
01:17:39,560 --> 01:17:39,720
Speaker 1: Man.

1567
01:17:39,960 --> 01:17:42,880
Speaker 3: Well, I appreciate the imitation and the platform to kind

1568
01:17:42,880 --> 01:17:44,760
Speaker 3: of get our story out there and uh, you know,

1569
01:17:45,320 --> 01:17:48,840
Speaker 3: public awareness. You know, we've we have a tracking thing

1570
01:17:48,920 --> 01:17:51,880
Speaker 3: on our website where you know, it's grafted by year

1571
01:17:51,920 --> 01:17:54,479
Speaker 3: of how many bear reports we had. You know, over

1572
01:17:54,520 --> 01:17:58,040
Speaker 3: that year and twenty twenty three, there was a three

1573
01:17:58,080 --> 01:18:01,000
Speaker 3: hundred percent increase in the out of bear reports that

1574
01:18:01,000 --> 01:18:02,960
Speaker 3: we got in the state. Not because it was a

1575
01:18:03,000 --> 01:18:05,960
Speaker 3: three hundred percent increase in bears, but because there were

1576
01:18:06,040 --> 01:18:08,200
Speaker 3: that many more people that were more aware and knew

1577
01:18:08,200 --> 01:18:10,679
Speaker 3: it we with that information, so it's it's a huge

1578
01:18:10,720 --> 01:18:13,880
Speaker 3: like this right here is a huge step for you know,

1579
01:18:13,960 --> 01:18:17,719
Speaker 3: raising that awareness and kind of bringing some knowledge about

1580
01:18:17,720 --> 01:18:18,559
Speaker 3: our program.

1581
01:18:18,880 --> 01:18:23,200
Speaker 1: Yeah, incredible. Any other questions from the from the team.

1582
01:18:23,320 --> 01:18:26,080
Speaker 7: No, I loved it. Yeah, also thanks for the swag.

1583
01:18:26,360 --> 01:18:28,200
Speaker 4: Yeah, really about it?

1584
01:18:29,479 --> 01:18:29,959
Speaker 1: Excellent.

1585
01:18:30,240 --> 01:18:35,960
Speaker 2: Well, I'm excited about the next Bear grease that's coming up.

1586
01:18:36,040 --> 01:18:39,280
Speaker 1: It's gonna be good. Not going to foreshadow an ounce

1587
01:18:39,360 --> 01:18:40,000
Speaker 1: other than just.

1588
01:18:40,360 --> 01:18:41,400
Speaker 4: It's gonna be very good.

1589
01:18:41,920 --> 01:18:44,799
Speaker 1: M h wow, we're all in Anthony.

1590
01:18:44,880 --> 01:18:48,360
Speaker 2: Thanks for coming up here, and uh yeah we'll be

1591
01:18:48,360 --> 01:18:49,960
Speaker 2: hearing more about Miss Stippi Bears.

1592
01:18:50,240 --> 01:18:51,040
Speaker 3: Cool. Enjoyed it.