1 00:00:01,920 --> 00:00:05,840 Speaker 1: Welcome to Backwoods University, a place where we focus on wildlife, 2 00:00:05,960 --> 00:00:08,920 Speaker 1: wild places and the people who dedicate their lives to 3 00:00:08,960 --> 00:00:12,120 Speaker 1: conserving both. Big shout out to Onyx Hunt for their 4 00:00:12,119 --> 00:00:16,000 Speaker 1: support of this podcast. I'm your host, Lake Pickle. On 5 00:00:16,000 --> 00:00:18,400 Speaker 1: this episode, we're going to approach one of the most 6 00:00:18,400 --> 00:00:23,520 Speaker 1: controversial subjects in American wildlife today, head on grizzly bears. 7 00:00:23,920 --> 00:00:27,720 Speaker 1: Are they endangered or not? And more importantly, how should 8 00:00:27,720 --> 00:00:30,880 Speaker 1: they fit into the modern landscape? Do we need them here? 9 00:00:31,360 --> 00:00:34,080 Speaker 1: Point in blank? Do grizzly bears deserve to be a 10 00:00:34,120 --> 00:00:47,919 Speaker 1: part of our ecosystem? Let's dive in. Last week we 11 00:00:47,960 --> 00:00:50,680 Speaker 1: heard a conversation with one of the most fascinating humans 12 00:00:50,720 --> 00:00:53,920 Speaker 1: I have ever met, Tom Parker's stories and insight Bear 13 00:00:54,040 --> 00:00:56,360 Speaker 1: Charge and All were not only fun to listen to, 14 00:00:56,680 --> 00:00:59,400 Speaker 1: but they also cue us up perfectly for a bigger 15 00:00:59,400 --> 00:01:03,080 Speaker 1: conversation for grizzlies as a whole. We know that grizzly 16 00:01:03,080 --> 00:01:06,200 Speaker 1: bears as a species were listed as endangered in nineteen 17 00:01:06,280 --> 00:01:08,600 Speaker 1: seventy five. We know that, at least in the Bob 18 00:01:08,640 --> 00:01:11,959 Speaker 1: Marshall Wilderness and Mission Mountain area, that both grizzly bears 19 00:01:12,000 --> 00:01:15,639 Speaker 1: and black bears faced an ecological shift by the loss 20 00:01:15,640 --> 00:01:19,120 Speaker 1: of high elevation white bark pine habitat. And we know 21 00:01:19,240 --> 00:01:23,040 Speaker 1: definitively that these days, when grizzly bears come up as 22 00:01:23,080 --> 00:01:27,520 Speaker 1: a topic in conversation, new publications, or virtually anywhere else, 23 00:01:27,840 --> 00:01:30,960 Speaker 1: it most often comes up with a lot of differing 24 00:01:31,200 --> 00:01:36,120 Speaker 1: and often strong and impassioned opinions, opinions such as grizzly 25 00:01:36,200 --> 00:01:39,680 Speaker 1: should be delisted from the endangered species list, grizzly should 26 00:01:39,720 --> 00:01:43,120 Speaker 1: remain on the endangered species list, grizzly should be managed 27 00:01:43,120 --> 00:01:46,560 Speaker 1: as a game animal with a hunting season, or under 28 00:01:46,600 --> 00:01:49,240 Speaker 1: no form or fashion should a grizzly bear ever be hunted. 29 00:01:49,680 --> 00:01:52,920 Speaker 1: Like I said, there are a lot of thoughts out there, 30 00:01:53,280 --> 00:01:55,480 Speaker 1: and to do this subject justice and to be able 31 00:01:55,520 --> 00:01:58,040 Speaker 1: to cover it thoroughly, we have quite the spread of 32 00:01:58,040 --> 00:02:00,520 Speaker 1: guests to hear from. But first I want to start 33 00:02:00,560 --> 00:02:03,280 Speaker 1: this whole thing off by giving you two grizzly encounter 34 00:02:03,360 --> 00:02:06,520 Speaker 1: stories from the same person. I think the contrast between 35 00:02:06,560 --> 00:02:09,640 Speaker 1: these two stories gives us a glimpse of how complex 36 00:02:09,800 --> 00:02:12,560 Speaker 1: this subject can be. And let me be clear here, 37 00:02:12,960 --> 00:02:15,280 Speaker 1: my goal is not to sway you one way or 38 00:02:15,320 --> 00:02:17,760 Speaker 1: the other or tell you how to think y'all don't 39 00:02:17,760 --> 00:02:20,400 Speaker 1: need my help with that. I'm here to present the facts. 40 00:02:20,760 --> 00:02:24,639 Speaker 1: Y'all make your decisions from there. Here's grizzly encounter number one. 41 00:02:25,040 --> 00:02:28,040 Speaker 2: I can remember the very first time I saw grizzly bear. 42 00:02:29,040 --> 00:02:33,960 Speaker 2: It was just that quintessential early September elk hunting. I 43 00:02:34,040 --> 00:02:36,640 Speaker 2: was with my dad. I couldn't hunt yet. I was 44 00:02:36,680 --> 00:02:38,880 Speaker 2: just falling along elk or Bugo, and it was foggy. 45 00:02:39,320 --> 00:02:42,640 Speaker 2: We're in thick logical timber on this north facing bench, 46 00:02:42,680 --> 00:02:44,240 Speaker 2: and we knew there was going to be bulls in there, 47 00:02:44,480 --> 00:02:45,960 Speaker 2: and we can hear him bugle when we come over 48 00:02:46,000 --> 00:02:48,560 Speaker 2: this little rise, and right on this big log was 49 00:02:48,600 --> 00:02:51,040 Speaker 2: the grizzly bear is tearing it up, beating hands right. 50 00:02:51,560 --> 00:02:54,600 Speaker 2: And I just remember the way my dad reacted was 51 00:02:54,600 --> 00:02:57,679 Speaker 2: a way that I'd never seen him react. And as 52 00:02:57,720 --> 00:03:00,440 Speaker 2: a father, now I understand completely. And now it's one 53 00:03:00,440 --> 00:03:02,200 Speaker 2: thing to walk around with encounter of a goodly bear 54 00:03:02,200 --> 00:03:04,639 Speaker 2: when you're with your little kid, you know there's a 55 00:03:04,639 --> 00:03:05,720 Speaker 2: little more at stake there. 56 00:03:06,240 --> 00:03:07,160 Speaker 3: And he just went. 57 00:03:07,160 --> 00:03:10,000 Speaker 2: Silent and held really still, and so I just did 58 00:03:10,040 --> 00:03:12,320 Speaker 2: the same, just mimicked because when we sat there and 59 00:03:12,320 --> 00:03:14,160 Speaker 2: just watched this bear who had no idea. 60 00:03:14,200 --> 00:03:16,120 Speaker 3: Were there probably. 61 00:03:15,639 --> 00:03:17,359 Speaker 2: For half an hour as it just went down and 62 00:03:17,440 --> 00:03:20,000 Speaker 2: ripping these logs up and eat nance. And I just 63 00:03:20,000 --> 00:03:22,800 Speaker 2: remember how beautiful it was and how it was so strong, 64 00:03:23,360 --> 00:03:26,160 Speaker 2: you know, just way was moving these logs and ripping 65 00:03:26,200 --> 00:03:28,480 Speaker 2: them apart, and there was just something about it, and 66 00:03:28,480 --> 00:03:30,679 Speaker 2: it just I remember that made a huge. 67 00:03:30,440 --> 00:03:33,400 Speaker 3: Imprint on me. It's this idea like even when you see. 68 00:03:33,200 --> 00:03:36,120 Speaker 2: Like a mountain lion or something like, wow, this thing's 69 00:03:36,200 --> 00:03:40,080 Speaker 2: out here with me, right, because he don't see him 70 00:03:40,360 --> 00:03:43,320 Speaker 2: officially back then, he didn't see him very often. Uh, 71 00:03:43,360 --> 00:03:46,480 Speaker 2: And it was just this you were just a at awe, right, 72 00:03:46,520 --> 00:03:48,600 Speaker 2: and at some level, I think barb the instinct you're 73 00:03:48,680 --> 00:03:51,440 Speaker 2: just like, don't squeak, don't run, you know. 74 00:03:51,600 --> 00:03:54,560 Speaker 3: So it's still yeah, and it was just this awe thing. 75 00:03:54,600 --> 00:03:56,480 Speaker 2: And it's just after you have a moment like that 76 00:03:57,040 --> 00:03:59,560 Speaker 2: and then you walk away with it, it's like those 77 00:03:59,560 --> 00:04:01,240 Speaker 2: great hunt it right, and you walk away, you tell 78 00:04:01,240 --> 00:04:04,040 Speaker 2: the story like forty thousand times and you just every's 79 00:04:04,080 --> 00:04:06,480 Speaker 2: so jacked up and like happy and high five and 80 00:04:06,480 --> 00:04:08,680 Speaker 2: and that story doesn't end for like four days. Yeah, 81 00:04:08,880 --> 00:04:10,360 Speaker 2: And that's how it was with my dad. So it 82 00:04:10,400 --> 00:04:12,360 Speaker 2: was it just imprinted in me so much, and it 83 00:04:12,440 --> 00:04:16,640 Speaker 2: was just like that animal created that that moment, and 84 00:04:16,720 --> 00:04:18,080 Speaker 2: so then I was just as a kid, I was 85 00:04:18,120 --> 00:04:19,120 Speaker 2: like I wanted. 86 00:04:18,880 --> 00:04:19,360 Speaker 3: More of that. 87 00:04:20,400 --> 00:04:22,599 Speaker 1: And here is grizzly encounter number two. 88 00:04:23,120 --> 00:04:25,280 Speaker 2: And then there's one time. And again I think it's 89 00:04:25,279 --> 00:04:27,440 Speaker 2: important to tell the story because it's the truth of 90 00:04:27,480 --> 00:04:30,839 Speaker 2: a bear's capability. I had a bear look at me 91 00:04:30,880 --> 00:04:33,000 Speaker 2: in a way that I'd never been looked at before. 92 00:04:33,120 --> 00:04:35,800 Speaker 3: And this was in Yellowstone, actually, yeah, it was this 93 00:04:35,839 --> 00:04:36,400 Speaker 3: time of year. 94 00:04:36,480 --> 00:04:39,200 Speaker 2: So we were going out to the very beginning of 95 00:04:39,320 --> 00:04:41,920 Speaker 2: elk calving season. So elk start calvin. It's right now, 96 00:04:42,000 --> 00:04:45,680 Speaker 2: May what fifteenth, So they start calviing like the next. 97 00:04:45,680 --> 00:04:46,200 Speaker 3: Week or two. 98 00:04:46,400 --> 00:04:50,960 Speaker 2: Sure, and the bears love e elk calves. 99 00:04:51,120 --> 00:04:51,880 Speaker 3: I mean, that's just it. 100 00:04:51,920 --> 00:04:55,479 Speaker 2: And some of them are very good at it. You know, 101 00:04:55,560 --> 00:04:57,520 Speaker 2: some bear some grizzlies on the el caves at all. 102 00:04:57,880 --> 00:05:00,039 Speaker 2: But if you're an elk calf eater and you know 103 00:05:00,120 --> 00:05:02,920 Speaker 2: that food sources out there, they'll go look for them. 104 00:05:02,920 --> 00:05:05,720 Speaker 2: So we were going to an area where I knew 105 00:05:05,720 --> 00:05:08,000 Speaker 2: that there was gonna bears looking for all calves and 106 00:05:08,040 --> 00:05:10,520 Speaker 2: we're gonna film it. So we go out there and 107 00:05:10,560 --> 00:05:13,280 Speaker 2: it was just this big open stage brush and there 108 00:05:13,360 --> 00:05:16,240 Speaker 2: was a bunch of cows out feeding elk, and so 109 00:05:16,279 --> 00:05:19,039 Speaker 2: he knew there was calves stashed in the sagebrush. And 110 00:05:19,080 --> 00:05:21,480 Speaker 2: so what you look for is when a bear's in 111 00:05:21,520 --> 00:05:24,200 Speaker 2: a hunting mode and their behavior, their body language has changed. 112 00:05:23,960 --> 00:05:24,520 Speaker 3: A little bit more. 113 00:05:24,560 --> 00:05:26,599 Speaker 2: You know, bears kind of usually kind of wander and 114 00:05:26,640 --> 00:05:31,040 Speaker 2: they're kind of slow, but when they're looking for something 115 00:05:31,080 --> 00:05:33,760 Speaker 2: to eat, that's like in predator mode, they kind of 116 00:05:33,760 --> 00:05:35,600 Speaker 2: have a little bit more of a heightened step of 117 00:05:35,960 --> 00:05:38,760 Speaker 2: quickness to them, and they start to do this thing 118 00:05:38,839 --> 00:05:40,720 Speaker 2: like a bird dog when you take a bird dog out. 119 00:05:40,720 --> 00:05:42,599 Speaker 2: They just started to zig zagon, just trying to flush. 120 00:05:42,640 --> 00:05:43,159 Speaker 3: That's what they're doing. 121 00:05:43,200 --> 00:05:46,400 Speaker 2: They're just trying to flush the calves. Because they can't 122 00:05:46,400 --> 00:05:48,360 Speaker 2: smell them, they just try to bump them and then 123 00:05:48,400 --> 00:05:50,560 Speaker 2: if they get up or they'd make noise or move, they. 124 00:05:50,480 --> 00:05:51,360 Speaker 3: Just nail them. 125 00:05:51,760 --> 00:05:54,000 Speaker 2: So we're sitting there watching this bear coming in. I'm like, yes, 126 00:05:54,080 --> 00:05:56,400 Speaker 2: it's perfect, I know there's calves. Here's a bear coming in, 127 00:05:56,920 --> 00:05:59,440 Speaker 2: and all of a sudden it just stops and looks 128 00:05:59,480 --> 00:06:03,039 Speaker 2: towards us and starts walking on a straight line, but 129 00:06:03,080 --> 00:06:04,040 Speaker 2: with that same kind. 130 00:06:03,920 --> 00:06:05,599 Speaker 3: Of heightened behavior. 131 00:06:06,360 --> 00:06:08,680 Speaker 2: And I'll never forget because I always paying attention to 132 00:06:08,680 --> 00:06:10,520 Speaker 2: the wind. The wind is blowing in my face, like 133 00:06:11,200 --> 00:06:14,159 Speaker 2: fifteen twenty miles an hour, so I'm like, this bear 134 00:06:14,200 --> 00:06:17,400 Speaker 2: can't smell us, so we're just gonna hold still. Well 135 00:06:17,440 --> 00:06:19,320 Speaker 2: this it keeps coming and coming. I just think it's 136 00:06:19,360 --> 00:06:21,640 Speaker 2: behavior is weird. It's kind of looking like it's looking 137 00:06:21,680 --> 00:06:25,000 Speaker 2: at us right. So I stand up and I'm like, okay, 138 00:06:25,000 --> 00:06:26,080 Speaker 2: I don't like the way this bears look. 139 00:06:26,080 --> 00:06:28,400 Speaker 3: I'm gonna just let it know. I'm a person. 140 00:06:28,760 --> 00:06:30,560 Speaker 2: Sometimes I just don't know what you are if your 141 00:06:30,560 --> 00:06:32,000 Speaker 2: holding still right. So I just go up and I 142 00:06:32,120 --> 00:06:33,880 Speaker 2: just like wave my arm, like come over here, bear, 143 00:06:34,480 --> 00:06:36,159 Speaker 2: And as soon as I do that, it just starts 144 00:06:36,400 --> 00:06:38,960 Speaker 2: jogging like faster, and I'm like. 145 00:06:38,920 --> 00:06:40,440 Speaker 3: Oh, this ain't good. So then I want to thing 146 00:06:40,480 --> 00:06:40,880 Speaker 3: I happen to me. 147 00:06:40,960 --> 00:06:42,919 Speaker 2: The bear spray and I have a thirty mile an 148 00:06:42,920 --> 00:06:44,320 Speaker 2: hour wind in my face or twenty mile an hour 149 00:06:44,360 --> 00:06:45,039 Speaker 2: wind in my face. 150 00:06:45,520 --> 00:06:46,880 Speaker 3: Now that this is not good. 151 00:06:47,120 --> 00:06:48,960 Speaker 2: So I just I remember getting up on me, didn't 152 00:06:48,960 --> 00:06:49,160 Speaker 2: hear me? 153 00:06:49,200 --> 00:06:50,640 Speaker 3: And I go bear, I'm ready here, bear, And. 154 00:06:50,600 --> 00:06:53,000 Speaker 2: I'm waving my arms and kind of doing jumping jacks, 155 00:06:53,560 --> 00:06:57,720 Speaker 2: and he just starts scoring and ears are forward like 156 00:06:57,880 --> 00:07:02,560 Speaker 2: locked in like a cat chasing the mount, and it's 157 00:07:02,560 --> 00:07:04,080 Speaker 2: closing the gap. And I remember I was just with 158 00:07:04,120 --> 00:07:06,400 Speaker 2: one camera guy, and I just remember thinking, I'm gonna 159 00:07:06,839 --> 00:07:09,200 Speaker 2: reach down grab my backpack. 160 00:07:09,279 --> 00:07:10,960 Speaker 3: I'm gonna throw the backpack at this. 161 00:07:10,960 --> 00:07:14,680 Speaker 2: Bear, and then if it hesitates from that backpacks in 162 00:07:14,680 --> 00:07:16,480 Speaker 2: front of it, I'm gonna try to like get off 163 00:07:16,520 --> 00:07:17,960 Speaker 2: to the side of it and like do some like 164 00:07:18,120 --> 00:07:21,520 Speaker 2: army roll and bear sprays. So when I picked up 165 00:07:21,520 --> 00:07:24,280 Speaker 2: my backpack over my head, it was probably ten yards 166 00:07:25,120 --> 00:07:26,760 Speaker 2: and it just as soon as I go like this, 167 00:07:26,840 --> 00:07:30,000 Speaker 2: it just locks, it breaks up, just screeches. So I 168 00:07:30,000 --> 00:07:33,080 Speaker 2: see this change of behavior, right, and I just hold 169 00:07:33,080 --> 00:07:35,559 Speaker 2: that backpack over my head and I just hold still, 170 00:07:36,200 --> 00:07:37,160 Speaker 2: and it sits there. 171 00:07:37,000 --> 00:07:37,640 Speaker 4: And just. 172 00:07:40,080 --> 00:07:43,320 Speaker 2: Just growls and just this big deep guttural move moaning, 173 00:07:43,800 --> 00:07:46,000 Speaker 2: and it does these like little flinch like kind of 174 00:07:46,040 --> 00:07:47,720 Speaker 2: like flinches towards us to try to get. 175 00:07:47,600 --> 00:07:51,520 Speaker 3: Us to move. And I just didn't say anything. 176 00:07:51,920 --> 00:07:54,080 Speaker 2: I just literally held the backpack like this over my head, 177 00:07:54,120 --> 00:07:56,119 Speaker 2: and just as it started to kind of half circle 178 00:07:56,160 --> 00:07:59,640 Speaker 2: walk around, just kind of mirrored it like a like 179 00:07:59,160 --> 00:08:03,880 Speaker 2: a like a great dish, right, And I don't know 180 00:08:03,920 --> 00:08:07,360 Speaker 2: what happened, man, it did this pride for twenty seconds, 181 00:08:07,400 --> 00:08:09,080 Speaker 2: thirty seconds, but it felt like forever. 182 00:08:09,480 --> 00:08:11,120 Speaker 3: And then it got to the side of us in 183 00:08:11,160 --> 00:08:11,520 Speaker 3: the wind. 184 00:08:11,520 --> 00:08:12,760 Speaker 2: I think it probably got a little bit of a 185 00:08:12,920 --> 00:08:15,840 Speaker 2: whiff of us, growled and moaned a us a bunch more, 186 00:08:16,240 --> 00:08:20,680 Speaker 2: and then it just walked away really slow. And when 187 00:08:20,680 --> 00:08:24,800 Speaker 2: I looked at this bear up close, emaciated hip bones 188 00:08:24,840 --> 00:08:25,480 Speaker 2: are sticking out. 189 00:08:26,200 --> 00:08:27,080 Speaker 3: I looked in its mouth. 190 00:08:27,200 --> 00:08:29,280 Speaker 2: It was gap mouth, and it was all salivating, and 191 00:08:29,320 --> 00:08:32,000 Speaker 2: it was all foamy around its mouth. Its teeth were flat. 192 00:08:32,120 --> 00:08:36,240 Speaker 2: This is a big, old male, old desperate and I 193 00:08:36,320 --> 00:08:38,440 Speaker 2: know just the way that bear looked at us that 194 00:08:38,600 --> 00:08:42,480 Speaker 2: it considered us as food in that moment. I think 195 00:08:42,480 --> 00:08:44,640 Speaker 2: it's such a I mean, it's lightning striking twice kind 196 00:08:44,640 --> 00:08:50,719 Speaker 2: of odds, but desperation, man, any animal us even right, yeah, 197 00:08:51,720 --> 00:08:53,679 Speaker 2: probably would never have crossed that line. But it was 198 00:08:53,720 --> 00:08:55,360 Speaker 2: at that point in its life where it probably was 199 00:08:55,400 --> 00:08:57,400 Speaker 2: in the den all winter star went out there was 200 00:08:57,400 --> 00:08:59,800 Speaker 2: trying to catch all calves, couldn't catch any. And then 201 00:08:59,800 --> 00:09:01,839 Speaker 2: they just two two hundred pound dudes standing over there, 202 00:09:01,840 --> 00:09:05,080 Speaker 2: and thought, hmmm, they look like I got to eat right, 203 00:09:05,160 --> 00:09:08,679 Speaker 2: so I'll die, and it just it decided. But then 204 00:09:08,880 --> 00:09:11,440 Speaker 2: I don't know, maybe I became six foot five with 205 00:09:11,520 --> 00:09:14,360 Speaker 2: this weird hat on my head and didn't run, didn't 206 00:09:14,400 --> 00:09:16,480 Speaker 2: make any did anything wrong, and just sold my ground 207 00:09:17,240 --> 00:09:19,160 Speaker 2: And that was just enough to make it decide not 208 00:09:19,160 --> 00:09:21,840 Speaker 2: to cross the line that day. But I didn't sleep 209 00:09:21,880 --> 00:09:24,880 Speaker 2: for like three nights after that. It shook me so hard. 210 00:09:25,440 --> 00:09:28,559 Speaker 2: I mean again, at that point, even thousands of encounters, 211 00:09:29,040 --> 00:09:31,319 Speaker 2: but never one like that. And it's just one of 212 00:09:31,320 --> 00:09:33,800 Speaker 2: those things where you're like, this is the reality is 213 00:09:33,920 --> 00:09:36,280 Speaker 2: these bears are capable of doing this, no doubt, right, 214 00:09:36,400 --> 00:09:38,480 Speaker 2: And if you let your guard down and you act 215 00:09:38,559 --> 00:09:41,640 Speaker 2: like they're big, fuzzy, teddy bears, that's how you're gonna 216 00:09:41,640 --> 00:09:45,240 Speaker 2: get hurt. It's going out there understanding what they're capable of, 217 00:09:45,320 --> 00:09:48,400 Speaker 2: understanding what they really are, and and then being ready 218 00:09:48,400 --> 00:09:48,720 Speaker 2: for it. 219 00:09:48,760 --> 00:09:48,920 Speaker 4: You know. 220 00:09:49,280 --> 00:09:51,600 Speaker 3: Yeah, It's just that's what you gotta do. 221 00:09:53,600 --> 00:09:56,920 Speaker 1: Two encounters with grizzlies with the same person, but two 222 00:09:57,080 --> 00:10:00,560 Speaker 1: very different experiences. The person you hurt tall talking there 223 00:10:00,760 --> 00:10:04,559 Speaker 1: was a man named Casey Anderson. Casey's a lifelong outdoorsman, 224 00:10:04,760 --> 00:10:07,560 Speaker 1: a naturalist, a hunter, and a person who has spent 225 00:10:07,679 --> 00:10:11,760 Speaker 1: his career explaining nature to the world, which included some 226 00:10:11,800 --> 00:10:15,600 Speaker 1: appearances on Oprah and Conan. By the way, some wild stuff. 227 00:10:16,080 --> 00:10:19,680 Speaker 1: We'll also be hearing from some representatives from Montana Department 228 00:10:19,760 --> 00:10:21,600 Speaker 1: of Fish, Wildlife and Parks. 229 00:10:21,880 --> 00:10:26,040 Speaker 5: Danielle Euler, I'm the Wildlife Stewardship Outreach specialist at Montana Fish, 230 00:10:26,080 --> 00:10:28,840 Speaker 5: Wildlife and Parks. I work throughout the entire state. 231 00:10:29,040 --> 00:10:32,360 Speaker 6: Kyle Roscoe, I'm with Montana Fishwife and Parks Bear Management. 232 00:10:32,520 --> 00:10:34,640 Speaker 6: I'm a technician with those guys out of Region three 233 00:10:34,679 --> 00:10:38,160 Speaker 6: here in Bozeman. Jeremiah Smith, I'm the grizzly bear specialist 234 00:10:38,240 --> 00:10:41,280 Speaker 6: FIR Region three in Southwest Montana, and I work for 235 00:10:41,360 --> 00:10:43,000 Speaker 6: Montana Fish, Wildlife and Parks. 236 00:10:43,200 --> 00:10:46,319 Speaker 1: Between all the different perspectives that we have represented here, 237 00:10:46,720 --> 00:10:51,240 Speaker 1: covering everything from experiences of a modern out doorsman, wildlife conflict, 238 00:10:51,320 --> 00:10:55,320 Speaker 1: and wildlife biology. I firmly believe that during this podcast 239 00:10:55,600 --> 00:10:57,960 Speaker 1: will be like a hungry bear flipping rocks over and 240 00:10:58,000 --> 00:11:01,600 Speaker 1: search for food and leave no stone unturned. Let's dive 241 00:11:01,640 --> 00:11:04,840 Speaker 1: in first by getting a basic grasp on grizzly bear 242 00:11:04,920 --> 00:11:09,479 Speaker 1: biology and ecology. This is important having a better understanding 243 00:11:09,520 --> 00:11:12,079 Speaker 1: of the animal in question will allow us to form 244 00:11:12,240 --> 00:11:14,120 Speaker 1: much more informed opinions. 245 00:11:14,840 --> 00:11:17,160 Speaker 5: First kind of cool thing to think about grizzly bears 246 00:11:17,280 --> 00:11:19,560 Speaker 5: is like the landscape that shaped them, just like with 247 00:11:19,679 --> 00:11:23,480 Speaker 5: black bears. You know, grizzly bears are animals of open landscapes, 248 00:11:23,880 --> 00:11:28,720 Speaker 5: not exclusively so, but you know, prairies, tundra, meadows, places 249 00:11:28,720 --> 00:11:31,239 Speaker 5: where they can dig for food in a grass dominated 250 00:11:31,320 --> 00:11:36,120 Speaker 5: landscape with cover. Their utilizing all their habitat. So that's 251 00:11:36,160 --> 00:11:38,400 Speaker 5: a defining feature. And we think that part of why 252 00:11:38,440 --> 00:11:41,120 Speaker 5: they are reactive to encounters, why they act a little 253 00:11:41,120 --> 00:11:44,080 Speaker 5: bit different than black bears, is that being an animal 254 00:11:44,120 --> 00:11:46,840 Speaker 5: of open lands, when they're you know, encountering a threat, 255 00:11:47,200 --> 00:11:51,120 Speaker 5: their instinct is to stand their ground and protect themselves 256 00:11:51,240 --> 00:11:53,920 Speaker 5: or act aggressively. So I think that's the why grizzlies 257 00:11:53,960 --> 00:11:56,080 Speaker 5: have the reputation that they do. So it's a little 258 00:11:56,080 --> 00:12:01,160 Speaker 5: bit of their evolutionary history, right. And then as far 259 00:12:01,280 --> 00:12:04,559 Speaker 5: as they're yearly cycles, so they're coming out of hibernation 260 00:12:04,720 --> 00:12:08,200 Speaker 5: in March, April and May, they're awake all the way 261 00:12:08,240 --> 00:12:11,160 Speaker 5: into the fall. The beginning of the season is kind 262 00:12:11,160 --> 00:12:13,880 Speaker 5: of a slow progression of bears coming out of their den. 263 00:12:14,520 --> 00:12:16,920 Speaker 5: Then they're looking for food anywhere it's available, high up 264 00:12:16,960 --> 00:12:19,400 Speaker 5: in the mountains or down low. The biggest limiting factor 265 00:12:19,440 --> 00:12:21,959 Speaker 5: there being snow, so once our snowpack is melted off, 266 00:12:22,000 --> 00:12:23,840 Speaker 5: they could be high or they could be down low. 267 00:12:24,720 --> 00:12:27,920 Speaker 5: And then breeding season is Midsummer. Then later into the 268 00:12:27,960 --> 00:12:31,520 Speaker 5: fall they go into hyperphasia, so that's like late August 269 00:12:31,520 --> 00:12:33,760 Speaker 5: to the time they hibernate and they're eating as much 270 00:12:33,800 --> 00:12:36,560 Speaker 5: as they can to get ready for winter, and that's 271 00:12:36,559 --> 00:12:39,800 Speaker 5: when we see a spike in human bear conflicts because 272 00:12:40,000 --> 00:12:42,760 Speaker 5: bears that are getting ready for winter eating as much 273 00:12:42,760 --> 00:12:45,040 Speaker 5: as they can, they're not as aware of their surroundings, 274 00:12:45,120 --> 00:12:48,640 Speaker 5: so it's just pretty easy to surprise them. One study 275 00:12:48,720 --> 00:12:51,520 Speaker 5: showed that they consumed up to twenty thousand calories a 276 00:12:51,600 --> 00:12:54,560 Speaker 5: day at the peak of hyperphasia. So that's not the 277 00:12:54,679 --> 00:12:57,120 Speaker 5: entire time, but you can imagine a wild animal looking 278 00:12:57,120 --> 00:13:00,600 Speaker 5: for that amount of food. How easy that would be 279 00:13:00,600 --> 00:13:02,840 Speaker 5: because I like forging, hunting all that, and I like 280 00:13:03,080 --> 00:13:04,840 Speaker 5: knowing my plants, and I try to think about going 281 00:13:04,880 --> 00:13:07,840 Speaker 5: in the woods and like getting that much for calories 282 00:13:07,880 --> 00:13:10,600 Speaker 5: in a day, and it would be it might take 283 00:13:10,640 --> 00:13:12,360 Speaker 5: me a lot longer than a day to find that 284 00:13:12,440 --> 00:13:15,080 Speaker 5: much food, so it's easy to surprise them that way. 285 00:13:15,760 --> 00:13:19,000 Speaker 5: And then all of us here bowhunters in this group, 286 00:13:19,040 --> 00:13:20,719 Speaker 5: so I have no shade on bow hunting. But bow 287 00:13:20,760 --> 00:13:23,959 Speaker 5: hunting is risky in bear country because you're quiet, you're 288 00:13:24,000 --> 00:13:27,040 Speaker 5: sneaking around the time of year when they're easy to surprise, 289 00:13:27,160 --> 00:13:29,200 Speaker 5: and you put your in kind of the same areas 290 00:13:29,200 --> 00:13:31,880 Speaker 5: as the grizzly bears are, and then they're going into 291 00:13:31,920 --> 00:13:34,959 Speaker 5: the den end of November, beginning of December, so that's 292 00:13:35,000 --> 00:13:37,920 Speaker 5: a little bit of a rundown on their yearly cycles. 293 00:13:38,200 --> 00:13:42,520 Speaker 1: Gris habitat selection and yearly cycles essential info for forming 294 00:13:42,559 --> 00:13:46,000 Speaker 1: opinions and making decisions on a species. Now let's learn 295 00:13:46,040 --> 00:13:48,319 Speaker 1: about their size and what they eat. 296 00:13:48,720 --> 00:13:50,680 Speaker 6: I'm glad you brought this up because it's a myth. 297 00:13:51,679 --> 00:13:52,240 Speaker 2: That's a good point. 298 00:13:52,280 --> 00:13:53,960 Speaker 4: Ye, it's the reason great topic. 299 00:13:54,080 --> 00:13:56,840 Speaker 1: Yeah, because you'll hear like, oh, that bears stood fifteen 300 00:13:56,880 --> 00:13:57,480 Speaker 1: foot tall. 301 00:13:58,400 --> 00:13:59,960 Speaker 4: That's eight hundred pounder for sure. 302 00:14:00,080 --> 00:14:00,600 Speaker 1: Yeah. 303 00:14:00,679 --> 00:14:03,120 Speaker 6: Yeah, no, everyone thinks we have these eight hundred thousand 304 00:14:03,160 --> 00:14:05,800 Speaker 6: pound bears. Jeremiah and I we handled two adult male 305 00:14:05,840 --> 00:14:08,240 Speaker 6: grizzlies this week. One was four hundred the other was 306 00:14:08,240 --> 00:14:10,960 Speaker 6: four to sixty. And that's a great average size. Granted 307 00:14:10,960 --> 00:14:13,160 Speaker 6: they're coming out of the den, but a lot of 308 00:14:13,160 --> 00:14:15,440 Speaker 6: our bears haven't lost a ton of weight, you know, 309 00:14:15,559 --> 00:14:17,680 Speaker 6: right when they come out of that den. So four 310 00:14:17,720 --> 00:14:20,120 Speaker 6: or five hundred, it's not an uncommon size for an 311 00:14:20,160 --> 00:14:23,160 Speaker 6: adult male. Grizz and his prime females are that two 312 00:14:23,240 --> 00:14:25,840 Speaker 6: to three hundred, I mean two fifty. That's a good 313 00:14:25,920 --> 00:14:27,080 Speaker 6: average sized female. 314 00:14:27,160 --> 00:14:29,640 Speaker 4: And there's a fall weight, and there's there's a spring weight, right, 315 00:14:29,800 --> 00:14:31,960 Speaker 4: so they're going to gain calories as they go through. 316 00:14:32,160 --> 00:14:34,880 Speaker 6: So yeah, I think the record of out of all 317 00:14:34,920 --> 00:14:36,880 Speaker 6: you know, over a thousand bears we've caught down here 318 00:14:36,880 --> 00:14:40,120 Speaker 6: in the gritty Yellowstone ecosystems, just over seven hundred pounds. 319 00:14:40,200 --> 00:14:43,000 Speaker 1: Really, I'll tell you what, which you'll hear at home, right. 320 00:14:43,040 --> 00:14:44,320 Speaker 1: I won't say here it all the time, but I 321 00:14:44,360 --> 00:14:46,920 Speaker 1: have heard it. I mean, like it does make sense. Right, 322 00:14:46,960 --> 00:14:49,600 Speaker 1: the further you get away from grizzlies, the higher of 323 00:14:49,600 --> 00:14:52,640 Speaker 1: the misunderstanding to get. But they're like they got a 324 00:14:52,680 --> 00:14:55,160 Speaker 1: thousand pound bears out there. I don't think they do. 325 00:14:55,280 --> 00:14:59,640 Speaker 4: Alaska, Yeah, not down here, but Alaska, we don't have 326 00:14:59,680 --> 00:15:00,800 Speaker 4: the cow down here. 327 00:15:00,840 --> 00:15:02,960 Speaker 6: I mean, it's a tough place to make a living. 328 00:15:03,000 --> 00:15:05,080 Speaker 6: For these bears. They eat over two hundred and sixty 329 00:15:05,080 --> 00:15:07,360 Speaker 6: different things down here to make a living. 330 00:15:07,480 --> 00:15:09,200 Speaker 4: You know, really, from the day they get up to 331 00:15:09,240 --> 00:15:12,040 Speaker 4: the day they go to bed, there's on average about 332 00:15:12,080 --> 00:15:15,920 Speaker 4: two hundred and sixty different species between plants, animals, you 333 00:15:16,040 --> 00:15:18,160 Speaker 4: name it, that they kind of move through. They're an 334 00:15:18,280 --> 00:15:21,560 Speaker 4: opportunistic omnivore and that's why they're still walking the planet. 335 00:15:22,200 --> 00:15:25,600 Speaker 1: Okay, we've heard bear encounter and charge stories from Casey. 336 00:15:25,800 --> 00:15:30,160 Speaker 1: We've heard grizzly ecology and biology from Danielle, Kyle and Jeremiah, 337 00:15:30,400 --> 00:15:33,040 Speaker 1: which leads me to believe that we're ready to dive 338 00:15:33,120 --> 00:15:37,120 Speaker 1: into more thought provoking questions such as how should we 339 00:15:37,200 --> 00:15:40,160 Speaker 1: manage grizzly bears today and how should we shape our 340 00:15:40,200 --> 00:15:41,720 Speaker 1: human attitude towards them. 341 00:15:42,080 --> 00:15:44,840 Speaker 2: I grew up in Montana, so since I could walk, 342 00:15:44,880 --> 00:15:47,960 Speaker 2: I've been in grizzly bear country. I mean almost every 343 00:15:48,040 --> 00:15:51,040 Speaker 2: day for thirty thirty five years, I've been out in 344 00:15:51,080 --> 00:15:54,640 Speaker 2: grizzly country, or some facet of that. I've spent I 345 00:15:54,680 --> 00:15:58,400 Speaker 2: mean an imaginable amount of time. I've had thousands, no exaggeration, 346 00:15:58,560 --> 00:16:01,200 Speaker 2: grizzly bear encounters. I've spent a good part of my 347 00:16:01,280 --> 00:16:03,760 Speaker 2: life sneaking up and trying to film grizzly bears doing 348 00:16:03,760 --> 00:16:06,560 Speaker 2: the opposite of what people should be doing. So I 349 00:16:06,960 --> 00:16:09,360 Speaker 2: fast tracked to trying to understand them. And then on 350 00:16:09,400 --> 00:16:11,960 Speaker 2: top of that, when I was twenty five, I. 351 00:16:11,960 --> 00:16:13,760 Speaker 3: Decided I was going to raise a grizzly bear. Yeah, 352 00:16:13,800 --> 00:16:14,280 Speaker 3: I saw that. 353 00:16:15,440 --> 00:16:18,920 Speaker 2: So, you know, I've had this like crazy kind of 354 00:16:18,960 --> 00:16:23,080 Speaker 2: grizzly saturated kind of life, you know. So I've seen 355 00:16:23,120 --> 00:16:25,200 Speaker 2: all sides, you know, and I like to put it 356 00:16:25,240 --> 00:16:28,360 Speaker 2: in perspective. I mean, I've raised the grizzly bear. I've 357 00:16:28,360 --> 00:16:31,040 Speaker 2: wrestled with the grizzly bear. I've been charged by grizzly 358 00:16:31,040 --> 00:16:33,000 Speaker 2: bears in the wild, and I've carried a man's body 359 00:16:33,000 --> 00:16:34,000 Speaker 2: off the mountain. 360 00:16:33,680 --> 00:16:35,000 Speaker 3: That's been killed by a grizzly bear. 361 00:16:35,360 --> 00:16:39,200 Speaker 2: I've seen the whole spectrum. They're all a product of 362 00:16:39,240 --> 00:16:41,120 Speaker 2: their environment and how they've been raised, and how they 363 00:16:41,160 --> 00:16:45,040 Speaker 2: experienced the earth, and their time on Earth and their experiences, 364 00:16:45,800 --> 00:16:48,320 Speaker 2: and I mean, I know, you know, and it's a 365 00:16:48,320 --> 00:16:51,520 Speaker 2: big issue right now. When you're making management decisions based 366 00:16:51,560 --> 00:16:57,440 Speaker 2: on fear or emotion, they're not making good decisions. And 367 00:16:57,720 --> 00:17:00,000 Speaker 2: I worry about that with with grizzly bears a little bit, 368 00:17:00,520 --> 00:17:02,000 Speaker 2: and I think that you see, you can see the 369 00:17:02,040 --> 00:17:03,440 Speaker 2: result of that. I mean a lot of times it's 370 00:17:03,480 --> 00:17:06,520 Speaker 2: like and people are like, why do we need them around? 371 00:17:06,680 --> 00:17:08,520 Speaker 3: You know, that's what you get that all the time. 372 00:17:08,640 --> 00:17:10,679 Speaker 3: It's like, why are we even worried about them? 373 00:17:10,680 --> 00:17:12,320 Speaker 1: Why are we trying to keep them here? 374 00:17:12,640 --> 00:17:13,040 Speaker 3: Yeah? 375 00:17:13,080 --> 00:17:16,760 Speaker 1: And so my question was having the understanding and kind 376 00:17:16,760 --> 00:17:18,320 Speaker 1: of like the value system that I have from so 377 00:17:18,400 --> 00:17:22,440 Speaker 1: much time hunting. I want grizzlies around, But how do 378 00:17:22,480 --> 00:17:24,760 Speaker 1: you explain to somebody like, this is why we need 379 00:17:24,840 --> 00:17:27,080 Speaker 1: them here? How do you get that across? 380 00:17:26,920 --> 00:17:28,080 Speaker 3: It's a tough one. 381 00:17:28,280 --> 00:17:30,280 Speaker 2: I mean, it's a question I asked myself all the time. 382 00:17:30,600 --> 00:17:31,640 Speaker 3: I mean, do we need them here? 383 00:17:32,840 --> 00:17:33,320 Speaker 2: You tell me? 384 00:17:33,520 --> 00:17:33,760 Speaker 1: Yeah? 385 00:17:33,840 --> 00:17:36,760 Speaker 2: I mean I think that if we decide that we're 386 00:17:36,760 --> 00:17:39,199 Speaker 2: going to weed out everything that makes us uncomfortable in 387 00:17:39,200 --> 00:17:43,040 Speaker 2: the wild in the wilderness, we're going to kill exactly 388 00:17:43,040 --> 00:17:45,520 Speaker 2: what the wilderness is. And there's something to be said 389 00:17:45,560 --> 00:17:47,520 Speaker 2: about a grizzly bear being out there. When you walk 390 00:17:47,560 --> 00:17:50,480 Speaker 2: around here in Montana, in grizzlebear country, you feel it, right, 391 00:17:51,000 --> 00:17:54,200 Speaker 2: It's a feeling you don't feel probably in Mississippi it's 392 00:17:54,240 --> 00:17:56,120 Speaker 2: a feeling you don't feel a lot of other places, 393 00:17:56,359 --> 00:18:00,520 Speaker 2: and there's something about that. There's a value in that 394 00:18:00,520 --> 00:18:04,879 Speaker 2: that's you can't replace it. And you know, you know, 395 00:18:04,920 --> 00:18:07,000 Speaker 2: there's all the you know, you hear all the rhetoric 396 00:18:07,040 --> 00:18:08,920 Speaker 2: and things that people say about you know, they're a 397 00:18:10,119 --> 00:18:13,760 Speaker 2: keystone species. There a specie that indicates a healthy ecosystem. 398 00:18:13,800 --> 00:18:14,800 Speaker 3: That's true, I think. 399 00:18:14,680 --> 00:18:16,960 Speaker 2: At some level. But again it's like what does that mean? 400 00:18:17,400 --> 00:18:19,439 Speaker 1: Yeah, it's a big it's a big broad term that 401 00:18:19,480 --> 00:18:20,600 Speaker 1: sounds nice, What does it mean? 402 00:18:20,640 --> 00:18:21,240 Speaker 3: What does it mean? 403 00:18:21,280 --> 00:18:22,879 Speaker 2: And I do think that you know, if a grizzly 404 00:18:22,920 --> 00:18:25,440 Speaker 2: bears living there, it does indicate that you're in a 405 00:18:25,480 --> 00:18:29,520 Speaker 2: place that is healthy. And I think ultimately, no matter 406 00:18:29,600 --> 00:18:33,720 Speaker 2: why you want that resource to remain intact, to have 407 00:18:33,760 --> 00:18:36,399 Speaker 2: that indication is a wonderful thing because a healthy ecosystem 408 00:18:36,440 --> 00:18:38,600 Speaker 2: is something that everybody, no matter how you use it, 409 00:18:38,320 --> 00:18:41,919 Speaker 2: is important. And if that requires it you have to 410 00:18:41,920 --> 00:18:44,280 Speaker 2: carry bear spray or a handgun, learn how to. 411 00:18:44,320 --> 00:18:45,240 Speaker 3: Use both your tools. 412 00:18:45,840 --> 00:18:48,600 Speaker 2: That requires doing different things with your food sources. If 413 00:18:48,640 --> 00:18:51,200 Speaker 2: that requires us having that outdoor knowledge to keep these 414 00:18:51,200 --> 00:18:55,560 Speaker 2: places alive, I think it's a it's something worth having 415 00:18:55,880 --> 00:18:58,520 Speaker 2: and we're doing Casey gave us a lot. 416 00:18:58,320 --> 00:19:00,880 Speaker 1: To think about there, And if you're and you did 417 00:19:00,880 --> 00:19:03,280 Speaker 1: hear him correctly when he said that he decided to 418 00:19:03,400 --> 00:19:06,440 Speaker 1: raise a grizzly bear when he was twenty five years old. 419 00:19:06,880 --> 00:19:09,080 Speaker 1: This action is one of the many things that landed 420 00:19:09,119 --> 00:19:11,879 Speaker 1: him on shows like Oprah. Like I mentioned earlier, this 421 00:19:12,000 --> 00:19:14,960 Speaker 1: guy has lived an interesting life to say the least. 422 00:19:15,600 --> 00:19:17,560 Speaker 1: But here's the main thing that I think we should 423 00:19:17,560 --> 00:19:20,120 Speaker 1: focus on from that last piece, and just say, y'all 424 00:19:20,160 --> 00:19:22,320 Speaker 1: can't say I didn't give you a fair warning. I'm 425 00:19:22,359 --> 00:19:25,280 Speaker 1: going to ask some hard and thought provoking questions. Here 426 00:19:25,640 --> 00:19:30,200 Speaker 1: you're ready, Here we go. Do we need grizzly bears? 427 00:19:30,880 --> 00:19:34,280 Speaker 1: I mean, really think about it. Do we need grizzly bears? 428 00:19:34,640 --> 00:19:36,960 Speaker 1: And allow me to challenge us further in saying, when 429 00:19:37,000 --> 00:19:39,720 Speaker 1: you think about your answer, don't think about it in 430 00:19:39,800 --> 00:19:43,240 Speaker 1: terms of addressing an audience of folks that already understand 431 00:19:43,320 --> 00:19:46,400 Speaker 1: hunting for the life of an outdoorsman, think about having 432 00:19:46,400 --> 00:19:49,280 Speaker 1: to answer that to a much broader audience because in 433 00:19:49,720 --> 00:19:52,600 Speaker 1: disclaimer this part, here's my opinion, but I feel like 434 00:19:52,680 --> 00:19:55,480 Speaker 1: we almost have to think that way, especially when you're 435 00:19:55,520 --> 00:19:59,320 Speaker 1: discussing an animal that finds its way into mainstream conversations 436 00:19:59,520 --> 00:20:03,440 Speaker 1: as much as grizzlies do. Why do we need grizzlies? 437 00:20:03,880 --> 00:20:07,040 Speaker 1: Why should grizzly bears be listed or delisted on an 438 00:20:07,080 --> 00:20:11,040 Speaker 1: endangered species list? Should grizzly bears be hunted or should 439 00:20:11,080 --> 00:20:13,560 Speaker 1: they not be hunted? There are folks out there that 440 00:20:13,680 --> 00:20:16,760 Speaker 1: never want to see grizzlies removed from the endangered species list. 441 00:20:17,000 --> 00:20:19,720 Speaker 1: There's folks out there that think grizzlies should be removed 442 00:20:19,840 --> 00:20:22,159 Speaker 1: and should be managed like a game animal with the 443 00:20:22,240 --> 00:20:24,800 Speaker 1: regular hunting season. There's folks that think we should be 444 00:20:24,800 --> 00:20:27,240 Speaker 1: able to shoot any bear that we see on site, 445 00:20:27,359 --> 00:20:30,680 Speaker 1: regardless of the situation. And there's folks that think grizzlies 446 00:20:30,680 --> 00:20:32,679 Speaker 1: are warm and fuzzy and would never harm you, so 447 00:20:32,720 --> 00:20:35,760 Speaker 1: we should never harm them. Like I said, there's a 448 00:20:35,800 --> 00:20:39,960 Speaker 1: wide spectrum of opinions out there. So do you have 449 00:20:40,000 --> 00:20:49,000 Speaker 1: an answer? Think about it. Let's focus in on the facts, 450 00:20:49,320 --> 00:20:52,159 Speaker 1: because in my experience, when honing in on topics of 451 00:20:52,240 --> 00:20:55,760 Speaker 1: high opinion, relying on facts is most important. 452 00:20:56,000 --> 00:20:58,280 Speaker 4: The way our programs are designed is to try to 453 00:20:58,320 --> 00:21:01,359 Speaker 4: dispel a lot of the miss about grizzly bears and 454 00:21:01,920 --> 00:21:04,520 Speaker 4: concentrate on the facts. About grizzly bears. What we know 455 00:21:04,680 --> 00:21:09,199 Speaker 4: through science, biology, experience, our eyes, what we see, what 456 00:21:09,240 --> 00:21:11,159 Speaker 4: we do, how we deal with them, where we see them, 457 00:21:11,359 --> 00:21:13,679 Speaker 4: and how they interact on the landscape, whether it's on 458 00:21:13,720 --> 00:21:17,040 Speaker 4: public land, private land, in the wilderness or you know, 459 00:21:17,160 --> 00:21:20,000 Speaker 4: mixed up amongst you know, houses and stuff like Big 460 00:21:20,040 --> 00:21:23,040 Speaker 4: scy or even the outskirts of Bozeman. Right, So there's 461 00:21:23,080 --> 00:21:24,880 Speaker 4: a lot of angles there. But I think most people, 462 00:21:25,000 --> 00:21:28,040 Speaker 4: even if there is some misunderstanding of grizzly bears, if 463 00:21:28,080 --> 00:21:30,320 Speaker 4: they're interested, they'll go out and they'll try to learn that. 464 00:21:30,640 --> 00:21:32,920 Speaker 4: And I think this the best folks can do. Things 465 00:21:32,920 --> 00:21:35,760 Speaker 4: are changing, they're adapting to their landscape, just like we're 466 00:21:35,760 --> 00:21:39,480 Speaker 4: adapting to ours, and so just getting that information out 467 00:21:39,520 --> 00:21:41,600 Speaker 4: to folks, and we're an open book. I mean, you know, 468 00:21:41,680 --> 00:21:44,120 Speaker 4: folks call us and ask us all sorts of questions, 469 00:21:44,160 --> 00:21:48,240 Speaker 4: not just from a reactionary standpoint and due to conflicts, 470 00:21:48,280 --> 00:21:51,280 Speaker 4: but also proactive things that we can do moving forward. 471 00:21:51,359 --> 00:21:54,080 Speaker 4: And so you know, they're a wild animal. At the 472 00:21:54,119 --> 00:21:56,600 Speaker 4: end of the day, they're dangerous and unpredictable. There's no 473 00:21:56,720 --> 00:21:59,439 Speaker 4: denying that. And a grizzly bear and a black bear 474 00:21:59,560 --> 00:22:03,760 Speaker 4: can rear change anything anytime if it chose to do so. Fortunately, 475 00:22:03,800 --> 00:22:05,720 Speaker 4: most of the time we don't see that. But there 476 00:22:05,760 --> 00:22:08,480 Speaker 4: are encounters that happen. There are bad events that happen, 477 00:22:09,160 --> 00:22:11,959 Speaker 4: and those things are what I think make the news, 478 00:22:12,400 --> 00:22:15,159 Speaker 4: that's what you hear about all the time. And so 479 00:22:15,800 --> 00:22:19,040 Speaker 4: our job is to sort those instances out, but also 480 00:22:19,640 --> 00:22:23,640 Speaker 4: keep on analyzing why did this happen. On average, we 481 00:22:23,720 --> 00:22:26,440 Speaker 4: handle around one hundred to one hundred and fifty conflicts 482 00:22:26,440 --> 00:22:30,760 Speaker 4: a year. That's nowhere even close to probably what's actually happening. Right, 483 00:22:30,840 --> 00:22:32,959 Speaker 4: it's only if you call us and talk to us 484 00:22:33,000 --> 00:22:36,440 Speaker 4: that we can catalog these conflicts and try to figure 485 00:22:36,440 --> 00:22:38,840 Speaker 4: them out and work on them. So again, Kyle and 486 00:22:38,880 --> 00:22:42,520 Speaker 4: MAI's job essentially is conflict specialists when it comes to 487 00:22:42,560 --> 00:22:45,239 Speaker 4: grizzly bears and black bears, mainly grizzly bears, and so 488 00:22:46,240 --> 00:22:50,000 Speaker 4: in Montana, in the Yellowstone ecosystem, we have a high 489 00:22:50,080 --> 00:22:54,080 Speaker 4: density of grizzly bears that's recovered. It's a great growing population. 490 00:22:54,280 --> 00:22:56,639 Speaker 4: We've got a lot of folks that are here. That 491 00:22:56,760 --> 00:22:59,600 Speaker 4: population is increasing, and so the interaction between people and 492 00:22:59,680 --> 00:23:02,640 Speaker 4: bears is happening, and it'll probably happen a little more 493 00:23:02,640 --> 00:23:04,919 Speaker 4: often than it did twenty or thirty years ago. You know, 494 00:23:04,960 --> 00:23:08,680 Speaker 4: my predecessor, Kevin Frye, was a grizzly bear specialist here 495 00:23:08,720 --> 00:23:11,120 Speaker 4: for thirty years, and I worked with him for fifteen 496 00:23:11,119 --> 00:23:13,000 Speaker 4: of those years. And even in the fifteen years I 497 00:23:13,040 --> 00:23:17,240 Speaker 4: worked with him, I saw a significant change in southwest 498 00:23:17,240 --> 00:23:19,760 Speaker 4: Montana as far as not only the number of people 499 00:23:19,760 --> 00:23:22,560 Speaker 4: that live here and build here and move here, but 500 00:23:22,640 --> 00:23:25,280 Speaker 4: the number of bears that are here and their density 501 00:23:25,320 --> 00:23:28,679 Speaker 4: in one particular spot, and the expansion and increased distribution 502 00:23:28,800 --> 00:23:32,080 Speaker 4: of those bears. Right, it's a natural thing. And so 503 00:23:32,960 --> 00:23:38,000 Speaker 4: our jobs are not only reactively responding to conflicts between 504 00:23:38,040 --> 00:23:42,159 Speaker 4: people and bears, but also proactively getting out ahead of 505 00:23:42,200 --> 00:23:45,720 Speaker 4: that and trying to prevent conflicts from happening in the 506 00:23:45,720 --> 00:23:49,920 Speaker 4: first place. And and Danielle's role in that is massive 507 00:23:49,960 --> 00:23:52,600 Speaker 4: because back in the day, you know, me and Kevin, 508 00:23:52,680 --> 00:23:55,160 Speaker 4: I kind of did everything, and when before I worked 509 00:23:55,160 --> 00:23:56,720 Speaker 4: for him, he did it all by himself for the 510 00:23:56,720 --> 00:24:00,720 Speaker 4: most part, And as that bear popular grew and the 511 00:24:00,800 --> 00:24:04,200 Speaker 4: human population grew, he didn't have time or we didn't 512 00:24:04,200 --> 00:24:06,440 Speaker 4: have time to go run over and do all these 513 00:24:06,520 --> 00:24:08,760 Speaker 4: things we really wanted to do. As far as preventative 514 00:24:08,840 --> 00:24:12,520 Speaker 4: measures for bears because we're reacting to conflicts. And so 515 00:24:13,200 --> 00:24:17,040 Speaker 4: fast forward to now, and we've got this great education 516 00:24:17,200 --> 00:24:20,560 Speaker 4: program that's huge. We've got me and Kyle being able 517 00:24:20,600 --> 00:24:23,600 Speaker 4: to work with our warden staff and our biologists staff 518 00:24:23,640 --> 00:24:26,560 Speaker 4: to handle both black bears and grizzly bear conflicts and 519 00:24:26,600 --> 00:24:29,320 Speaker 4: turn it into kind of one large program that can 520 00:24:29,400 --> 00:24:34,240 Speaker 4: adapt not only locally, but regionally on the fly and 521 00:24:34,280 --> 00:24:37,159 Speaker 4: then in between regions. You know, Southwest Montana is an 522 00:24:37,160 --> 00:24:40,440 Speaker 4: interesting spot for grizzly bears because we back up against 523 00:24:40,520 --> 00:24:45,240 Speaker 4: Yellowstone National Park Idaho, Wyoming. We all work together because 524 00:24:45,280 --> 00:24:48,520 Speaker 4: bears don't know borders or boundaries, and so we all 525 00:24:48,560 --> 00:24:49,200 Speaker 4: know each other. 526 00:24:49,440 --> 00:24:50,639 Speaker 3: We talk all the time. 527 00:24:50,760 --> 00:24:52,959 Speaker 4: We've worked with each other over the years, and so 528 00:24:53,440 --> 00:24:57,399 Speaker 4: it's a very interactive group of people that are dealing 529 00:24:57,440 --> 00:25:00,240 Speaker 4: with and handling conflicts and trying to proactively prove vent 530 00:25:00,320 --> 00:25:04,480 Speaker 4: them long term with a growing population of bears and people. 531 00:25:05,240 --> 00:25:08,040 Speaker 1: Allow me to further contextualize some of what Jeremiah just 532 00:25:08,080 --> 00:25:12,560 Speaker 1: shared with us. In nineteen seventy five, the year that 533 00:25:12,560 --> 00:25:15,639 Speaker 1: grizzly bears were listed as endangered, the state of Montana 534 00:25:15,720 --> 00:25:19,240 Speaker 1: had a recorded human population of seven hundred and forty 535 00:25:19,280 --> 00:25:23,240 Speaker 1: eight thousand, two hundred and eight. Idaho had eight hundred 536 00:25:23,240 --> 00:25:26,480 Speaker 1: and thirty one thousand, nine hundred and eighty two, Wyoming 537 00:25:26,800 --> 00:25:29,560 Speaker 1: three hundred and eighty one thousand, six hundred and ninety five. 538 00:25:30,200 --> 00:25:33,240 Speaker 1: Fast forward to twenty twenty four, the recorded population of 539 00:25:33,240 --> 00:25:36,880 Speaker 1: Montana is now over one point one million, Idaho right 540 00:25:36,920 --> 00:25:39,879 Speaker 1: at two million, and Wyoming right over half a million. 541 00:25:40,320 --> 00:25:44,520 Speaker 1: That's a significant population increase of humans, which in turn 542 00:25:45,000 --> 00:25:49,320 Speaker 1: means more humans on the landscape, more housing, more humans 543 00:25:49,359 --> 00:25:53,320 Speaker 1: spreading into areas where they previously were not. Pair that 544 00:25:53,400 --> 00:25:56,320 Speaker 1: with the recovering and growing bear population, and you were 545 00:25:56,359 --> 00:25:59,800 Speaker 1: met with the unavoidable reality that humans and bears are 546 00:25:59,840 --> 00:26:02,720 Speaker 1: simply going to cross paths more often. 547 00:26:05,480 --> 00:26:08,480 Speaker 6: No, there's definitely a lot of people that have figured out, like, 548 00:26:08,520 --> 00:26:10,679 Speaker 6: if we're going to be here, they're here, we're going 549 00:26:10,760 --> 00:26:13,399 Speaker 6: to have to tolerate each other. And a lot of 550 00:26:13,400 --> 00:26:16,000 Speaker 6: folks are great, you know, they understand that the bears 551 00:26:16,119 --> 00:26:18,600 Speaker 6: just trying to make a living, same as them, and 552 00:26:18,600 --> 00:26:20,560 Speaker 6: if you don't work side by side and kind of 553 00:26:20,600 --> 00:26:23,280 Speaker 6: have that tolerance for one another, it's not going to 554 00:26:23,359 --> 00:26:24,320 Speaker 6: work in the long run. 555 00:26:24,760 --> 00:26:26,439 Speaker 5: Oh, I was just going to say, there was a 556 00:26:26,520 --> 00:26:30,200 Speaker 5: human dimension study, a social science study on people's attitudes 557 00:26:30,200 --> 00:26:32,960 Speaker 5: about grizzly bearries in Montana. I don't know four years 558 00:26:32,960 --> 00:26:36,080 Speaker 5: ago or so, and what the common thread was is 559 00:26:36,119 --> 00:26:39,360 Speaker 5: like most people, it was like over ninety six percent 560 00:26:39,440 --> 00:26:42,480 Speaker 5: I think valued grizzly bears as a part of Montana's 561 00:26:42,520 --> 00:26:46,240 Speaker 5: natural heritage. Where you started to see differences is like 562 00:26:46,720 --> 00:26:49,840 Speaker 5: what people's tolerance were for how where they lived and 563 00:26:49,840 --> 00:26:52,679 Speaker 5: how close they lived to their homes. So some folks 564 00:26:52,800 --> 00:26:55,600 Speaker 5: have a really high tolerance. They're fine with grizzly bears 565 00:26:55,640 --> 00:26:58,840 Speaker 5: fairly close, but pretty much nobody wants them in their backyard. 566 00:26:59,400 --> 00:27:01,399 Speaker 5: You know, whether you love grizzly bears are you're pretty 567 00:27:01,440 --> 00:27:03,679 Speaker 5: skeptical and you're not. You don't want them anywhere near you. 568 00:27:04,080 --> 00:27:06,520 Speaker 5: Nobody's really interested in having them really really close to 569 00:27:06,560 --> 00:27:11,080 Speaker 5: their home. But overall, Montanas appreciate that that grizzly bears 570 00:27:11,119 --> 00:27:11,520 Speaker 5: live here. 571 00:27:12,160 --> 00:27:14,840 Speaker 1: I'll be completely honest with y'all. In the studies and 572 00:27:14,920 --> 00:27:17,679 Speaker 1: research I've done so far for this podcast, I have 573 00:27:17,800 --> 00:27:20,840 Speaker 1: yet to find an animal or even a topic that 574 00:27:20,920 --> 00:27:24,920 Speaker 1: brings about more nuance than a grizzly bear. Danielle said 575 00:27:24,920 --> 00:27:27,520 Speaker 1: it best by referencing the study that showed over ninety 576 00:27:27,520 --> 00:27:31,640 Speaker 1: six percent of people in Montana valuing grizzlies as part 577 00:27:31,760 --> 00:27:34,480 Speaker 1: of the Montana heritage. But where you start to see 578 00:27:34,560 --> 00:27:37,920 Speaker 1: variances is when you get into people's tolerances for them. 579 00:27:38,200 --> 00:27:41,440 Speaker 1: So in Layman's terms, people are thinking, so, where are 580 00:27:41,480 --> 00:27:44,320 Speaker 1: these bears exactly? And how close are they to my house? 581 00:27:44,760 --> 00:27:48,040 Speaker 1: So to speak? And as I stated earlier, the human 582 00:27:48,119 --> 00:27:51,800 Speaker 1: population in these grizzly areas only seems to be going up. 583 00:27:52,080 --> 00:27:54,960 Speaker 1: So at some point it's inevitable that we as humans 584 00:27:55,000 --> 00:27:56,919 Speaker 1: are going to have to make some decisions. 585 00:27:57,440 --> 00:27:59,840 Speaker 2: And it's a funny time, especially over in this neck 586 00:28:00,040 --> 00:28:03,639 Speaker 2: the woods here in Yellowstone Country in Montana, Idaho Wyoming, 587 00:28:03,760 --> 00:28:05,520 Speaker 2: where we're on the cusp of what are we going 588 00:28:05,560 --> 00:28:08,600 Speaker 2: to do next with grizzly bears? Right, And a lot 589 00:28:08,640 --> 00:28:10,280 Speaker 2: of people would expect that I would be like anti 590 00:28:10,359 --> 00:28:11,600 Speaker 2: hunting grizzly bears, but I'm not. 591 00:28:11,680 --> 00:28:12,359 Speaker 3: I mean, I'm a hunter. 592 00:28:12,440 --> 00:28:16,920 Speaker 2: I understand the importance of managing animals, and no matter 593 00:28:16,920 --> 00:28:18,960 Speaker 2: what they are on a landscape, we need to it's 594 00:28:18,960 --> 00:28:20,480 Speaker 2: the only way that they're going to be around for 595 00:28:20,480 --> 00:28:24,200 Speaker 2: a long term. But I also hear from a lot 596 00:28:24,200 --> 00:28:27,200 Speaker 2: of hunters that the reason why they shouldn't we should 597 00:28:27,200 --> 00:28:29,359 Speaker 2: be hunting grizzly bears is because I see them all 598 00:28:29,359 --> 00:28:32,280 Speaker 2: the time when I'm out hunting. They're everywhere. They're losing 599 00:28:32,320 --> 00:28:35,320 Speaker 2: their fear of people. Is that a reason to hunt them? 600 00:28:37,119 --> 00:28:38,760 Speaker 2: We did that with all the other animals. Is that 601 00:28:38,800 --> 00:28:40,560 Speaker 2: the reason to hunt them, or or should we hunt 602 00:28:40,600 --> 00:28:43,720 Speaker 2: them because their population is getting too high and for 603 00:28:43,800 --> 00:28:46,360 Speaker 2: this ecosystem and a bunch of biologists has actually come 604 00:28:46,400 --> 00:28:49,120 Speaker 2: up with the data to say that's the case. Maybe 605 00:28:49,160 --> 00:28:51,040 Speaker 2: that's that's the reason we should hunt them, not because 606 00:28:51,040 --> 00:28:51,880 Speaker 2: we're afraid of them. 607 00:28:52,160 --> 00:28:54,400 Speaker 3: And it's okay if you can be afraid. 608 00:28:54,160 --> 00:28:56,120 Speaker 2: Of something to understand, then I think that that's the 609 00:28:56,160 --> 00:28:59,479 Speaker 2: part we have to understand them. And the thing is, man, 610 00:28:59,520 --> 00:29:01,240 Speaker 2: I'll tell you it's a lot of people aren listen 611 00:29:01,280 --> 00:29:02,840 Speaker 2: to this and think that this guy's crazy why we're 612 00:29:02,840 --> 00:29:05,719 Speaker 2: listening to him. But I'm here to tell you you know, 613 00:29:05,800 --> 00:29:08,600 Speaker 2: I'm not against hunting grizzly bears, not at all. Again, 614 00:29:08,680 --> 00:29:11,480 Speaker 2: And I think that's really important, and I think it's 615 00:29:11,560 --> 00:29:14,000 Speaker 2: really important for us to understand animals that were out 616 00:29:14,000 --> 00:29:16,200 Speaker 2: there in the woods with no matter what they are right. 617 00:29:16,840 --> 00:29:19,400 Speaker 2: And I think in that understanding we can make better 618 00:29:19,440 --> 00:29:23,640 Speaker 2: management decisions. Yeah, and I think that's just the bottom line, man. 619 00:29:23,680 --> 00:29:25,760 Speaker 2: We can't manage animals based on fear. We have to 620 00:29:25,800 --> 00:29:28,440 Speaker 2: base our animal management practices on facts. 621 00:29:29,200 --> 00:29:32,040 Speaker 1: Interesting take and insight from a man like Casey Anderson. 622 00:29:32,480 --> 00:29:36,040 Speaker 1: I appreciate both the thoroughness of his answer as well 623 00:29:36,080 --> 00:29:39,520 Speaker 1: as his willingness to share with us outright his thoughts 624 00:29:39,680 --> 00:29:42,600 Speaker 1: on such a controversial topic. And I want to hear 625 00:29:42,640 --> 00:29:44,920 Speaker 1: more from him on this, but first I want to 626 00:29:44,920 --> 00:29:47,720 Speaker 1: be sure to let the biologists from MFWP way in 627 00:29:47,840 --> 00:29:49,200 Speaker 1: on this subject as well. 628 00:29:49,960 --> 00:29:52,200 Speaker 4: At the end of the day, for the most part, 629 00:29:52,240 --> 00:29:55,280 Speaker 4: grizzly bears required large chunks of dirt without people in it. 630 00:29:56,240 --> 00:29:56,480 Speaker 3: Right. 631 00:29:56,560 --> 00:30:00,040 Speaker 4: So the original idea when they listed grizzly bears you 632 00:30:00,120 --> 00:30:03,480 Speaker 4: hear about all these recovery zones is that they sought 633 00:30:03,560 --> 00:30:07,120 Speaker 4: these areas like Yellowstone National Park and a surrounding area 634 00:30:07,160 --> 00:30:10,280 Speaker 4: they called a recovery zone, that we would recover bears 635 00:30:10,320 --> 00:30:13,480 Speaker 4: in these areas because there's large, contentious pieces of public 636 00:30:13,560 --> 00:30:17,400 Speaker 4: land that don't have people in it. Right. People visit, 637 00:30:17,440 --> 00:30:21,080 Speaker 4: people move through, but they actually have fairly untapped, untouched 638 00:30:21,280 --> 00:30:24,520 Speaker 4: forest or wilderness or different type of land use classifications 639 00:30:24,560 --> 00:30:27,360 Speaker 4: you want to have. And I don't think what anybody 640 00:30:27,360 --> 00:30:29,880 Speaker 4: thought backed in was that those bears would start to 641 00:30:29,920 --> 00:30:32,400 Speaker 4: expand so far out like they assumed. 642 00:30:32,440 --> 00:30:33,200 Speaker 3: I think that the. 643 00:30:33,320 --> 00:30:36,880 Speaker 4: Idea of the recovery when it met the original recovery criteria, 644 00:30:37,480 --> 00:30:39,800 Speaker 4: that the bear would be delisted and they'd be managed 645 00:30:39,880 --> 00:30:43,160 Speaker 4: just like every other game species in Montana. And that 646 00:30:43,520 --> 00:30:46,800 Speaker 4: time frame has been pushed along over time. And so 647 00:30:46,960 --> 00:30:49,120 Speaker 4: that's a lot of arguments you hear in the news 648 00:30:49,160 --> 00:30:51,800 Speaker 4: and everything else about grizzly bears is delist them, don't 649 00:30:51,800 --> 00:30:55,440 Speaker 4: delist them. All that well, we stay underneath of that 650 00:30:55,520 --> 00:30:59,440 Speaker 4: because we our role in grizzly bear management doesn't matter 651 00:30:59,520 --> 00:31:01,080 Speaker 4: whether they're on or off the list. 652 00:31:02,120 --> 00:31:03,680 Speaker 1: Right, your job doesn't change. 653 00:31:03,760 --> 00:31:05,880 Speaker 3: We're still dealing with conflicts no matter what. 654 00:31:06,080 --> 00:31:09,640 Speaker 4: Now. As an agency and as bear specialist, I truly believe, Yeah, 655 00:31:09,920 --> 00:31:12,960 Speaker 4: I think grizzly bear should be delisted. Absolutely. The numbers 656 00:31:13,000 --> 00:31:15,880 Speaker 4: are there, they're recovered, they've done a great job. We've 657 00:31:15,880 --> 00:31:19,720 Speaker 4: got good secure habitat, we've got great rules and regulations, 658 00:31:20,280 --> 00:31:23,600 Speaker 4: regulatory mechanisms they are put in place, and yes, those 659 00:31:23,640 --> 00:31:25,800 Speaker 4: things could be changed here and there, for sure, there's 660 00:31:25,840 --> 00:31:28,560 Speaker 4: no arguing that. But to keep something on a list 661 00:31:28,640 --> 00:31:31,360 Speaker 4: for that long, I mean, it's a goofy fact. And 662 00:31:31,400 --> 00:31:33,240 Speaker 4: these guys probably get sick of me saying it, But 663 00:31:34,240 --> 00:31:36,640 Speaker 4: I was born in nineteen seventy five. These things have 664 00:31:36,680 --> 00:31:38,400 Speaker 4: been on the list as long as I've been alive. 665 00:31:39,280 --> 00:31:42,160 Speaker 4: Fifty years is a long time to keep something on 666 00:31:42,200 --> 00:31:44,000 Speaker 4: a list, you know. I mean the idea that in 667 00:31:44,040 --> 00:31:48,120 Speaker 4: the Endangered Species Act is to recover and move on 668 00:31:48,160 --> 00:31:50,280 Speaker 4: to something else, and I think that's what a lot 669 00:31:50,280 --> 00:31:52,560 Speaker 4: of people get frustrated with. I'm sure, I think they 670 00:31:52,600 --> 00:31:55,560 Speaker 4: really do. And you know, these areas where like you 671 00:31:55,640 --> 00:31:58,200 Speaker 4: and Kyle were talking about, Danielle, it's like you can 672 00:31:58,240 --> 00:32:00,920 Speaker 4: go into an area and have a mix of people 673 00:32:00,920 --> 00:32:04,520 Speaker 4: in Montana and their opinions and their ideas on grizzly bears. 674 00:32:04,520 --> 00:32:05,680 Speaker 2: And that's great because I. 675 00:32:05,680 --> 00:32:08,160 Speaker 4: Think that's the way it should be, because everybody's got 676 00:32:08,200 --> 00:32:12,080 Speaker 4: their own experience with them, They've got their own effect 677 00:32:12,120 --> 00:32:14,360 Speaker 4: that the bears have on them. You know, if you're 678 00:32:14,400 --> 00:32:16,360 Speaker 4: a cattle rancher and you've got a bear coming down 679 00:32:16,360 --> 00:32:19,000 Speaker 4: and eating you know, four or five calves every other day, 680 00:32:19,280 --> 00:32:21,360 Speaker 4: that's not good. I wouldn't be happy. 681 00:32:21,160 --> 00:32:22,320 Speaker 3: About that either, you know. 682 00:32:22,360 --> 00:32:25,320 Speaker 4: And so our jobs and wildlife services in those particular 683 00:32:25,360 --> 00:32:27,840 Speaker 4: instances is to get in there and try to remedy 684 00:32:27,920 --> 00:32:29,920 Speaker 4: that situation because there's a lot of bears out there 685 00:32:29,920 --> 00:32:33,520 Speaker 4: that aren't causing conflict. Sure, because we manage the population, 686 00:32:33,640 --> 00:32:36,240 Speaker 4: we don't manage the individual and that makes a big 687 00:32:36,280 --> 00:32:40,280 Speaker 4: difference because that's how wildlife management should be. Singling out 688 00:32:40,280 --> 00:32:44,120 Speaker 4: individual animals I think can cause a lot of problems 689 00:32:44,200 --> 00:32:47,200 Speaker 4: when it comes to the public's view of how wildlife 690 00:32:47,240 --> 00:32:47,760 Speaker 4: is managed. 691 00:32:48,080 --> 00:32:50,520 Speaker 1: Do you think there's any like possibility wise if they've 692 00:32:50,760 --> 00:32:53,440 Speaker 1: becoming delisted? I know that's an opinion question. 693 00:32:53,520 --> 00:32:55,800 Speaker 3: No, it's a podcast, but my fingers are crossed now. 694 00:32:56,200 --> 00:33:01,120 Speaker 4: I mean, it's it's politics and litigation, and so again 695 00:33:01,200 --> 00:33:03,320 Speaker 4: we that's above our level. We kind of stay out 696 00:33:03,320 --> 00:33:06,360 Speaker 4: of that. Sure, as far as recovery criteria goes for 697 00:33:06,440 --> 00:33:10,600 Speaker 4: the original recovery zones in Montana, they have they have 698 00:33:11,120 --> 00:33:11,920 Speaker 4: accomplished that. 699 00:33:12,320 --> 00:33:14,960 Speaker 6: In fact, Yellowstone Day. 700 00:33:14,640 --> 00:33:18,240 Speaker 4: For Yellowstone Cabinet Yack, the Yellowstone ecosystem has literally been 701 00:33:18,280 --> 00:33:22,560 Speaker 4: recovered since technically, as far as recovery criteria goes ninety 702 00:33:22,640 --> 00:33:23,719 Speaker 4: nine to two thousand and two. 703 00:33:23,960 --> 00:33:25,880 Speaker 3: Right in there, checked all the box, checked all the. 704 00:33:25,880 --> 00:33:26,800 Speaker 4: Boxes, n CD. 705 00:33:27,320 --> 00:33:28,480 Speaker 3: I don't think as. 706 00:33:28,360 --> 00:33:32,440 Speaker 4: Far off, but yeah, yeah, and the Cria yaks has 707 00:33:32,480 --> 00:33:35,840 Speaker 4: not quite gotten there yet. But these two ecosystems make 708 00:33:35,960 --> 00:33:40,840 Speaker 4: up Idaho, Montana and Wyoming and most of Montana. The 709 00:33:40,880 --> 00:33:43,160 Speaker 4: cabinet yak is a pretty small component up there, but 710 00:33:43,480 --> 00:33:46,360 Speaker 4: just as important. But when you've got a massive recovery 711 00:33:46,400 --> 00:33:50,360 Speaker 4: population sitting next door, you know you're gonna have distribution 712 00:33:50,480 --> 00:33:51,440 Speaker 4: that's going in and out. 713 00:33:51,560 --> 00:33:55,200 Speaker 1: Sure. Like I said at the beginning of this episode, 714 00:33:55,400 --> 00:33:57,720 Speaker 1: my role here is not to tell you how to think. 715 00:33:58,080 --> 00:33:59,840 Speaker 1: I'm here to present you with facts and what I 716 00:34:00,120 --> 00:34:02,920 Speaker 1: learn doing this research in these interviews, and the facts 717 00:34:02,960 --> 00:34:06,320 Speaker 1: are that biologists and grizzly bear specialists believe that there's 718 00:34:06,480 --> 00:34:10,080 Speaker 1: enough data and evidence to support removing bears from the 719 00:34:10,200 --> 00:34:13,919 Speaker 1: endangered species list. I believe this to be a very 720 00:34:14,120 --> 00:34:18,279 Speaker 1: important factor. I also think it's important to highlight Jeremiah's 721 00:34:18,360 --> 00:34:22,920 Speaker 1: comment about the difference between managing populations rather than managing 722 00:34:23,040 --> 00:34:27,440 Speaker 1: individual animals. Virtually all of the successes that North America 723 00:34:27,480 --> 00:34:30,279 Speaker 1: has had in terms of wildlife management has come from 724 00:34:30,280 --> 00:34:35,480 Speaker 1: an angle of population management, not individual animal management. This 725 00:34:35,560 --> 00:34:38,680 Speaker 1: is an important factor that cannot be ignored, regardless of 726 00:34:38,680 --> 00:34:40,640 Speaker 1: what species we're talking about. 727 00:34:41,239 --> 00:34:45,080 Speaker 2: You use the word resource, right, Yeah, that all means 728 00:34:45,080 --> 00:34:46,799 Speaker 2: something different to other people. You know, to other people 729 00:34:47,320 --> 00:34:49,000 Speaker 2: like Okay, now you're looking at them like a commodity 730 00:34:49,360 --> 00:34:51,040 Speaker 2: and they're just an animal on the landscape, and you're 731 00:34:51,080 --> 00:34:54,080 Speaker 2: like no, no, egawn, you know, that's a broad word there. 732 00:34:54,239 --> 00:34:56,480 Speaker 2: In some level, there's a value there and it's like 733 00:34:56,480 --> 00:34:58,680 Speaker 2: a commodity. But sometimes you just got to look at 734 00:34:58,719 --> 00:35:01,720 Speaker 2: it some way and get mad about this the idea 735 00:35:01,760 --> 00:35:03,719 Speaker 2: that you've used that word, and it's one of those 736 00:35:03,719 --> 00:35:06,680 Speaker 2: things that's kind of ridiculous to me because I think ultimately, 737 00:35:07,360 --> 00:35:10,359 Speaker 2: if that resource is there, if the bears come back 738 00:35:10,360 --> 00:35:13,080 Speaker 2: in Montana and we have the ability to hunt them, 739 00:35:13,480 --> 00:35:14,200 Speaker 2: then they're healthy. 740 00:35:14,400 --> 00:35:16,360 Speaker 1: Yeah, so it's a good indicator. 741 00:35:16,520 --> 00:35:20,120 Speaker 2: Yeah, yeah, and that resource no matter what the value 742 00:35:20,160 --> 00:35:22,480 Speaker 2: of that resource is, where that means you're gonna go 743 00:35:22,520 --> 00:35:25,880 Speaker 2: with your son and opening day and kill one, or 744 00:35:25,920 --> 00:35:27,920 Speaker 2: if that means you're gonna go walk out there while 745 00:35:27,920 --> 00:35:31,279 Speaker 2: you're sniffing wildflowers and see one, it's a value. It's 746 00:35:31,280 --> 00:35:33,960 Speaker 2: a value that we all collectively want on the landscape. 747 00:35:33,960 --> 00:35:36,160 Speaker 2: And if we can figure out away from to make 748 00:35:36,200 --> 00:35:39,960 Speaker 2: that happen through management, that's what conservation is all about, right, 749 00:35:40,040 --> 00:35:41,200 Speaker 2: and everybody can be happy. 750 00:35:41,800 --> 00:35:44,080 Speaker 1: Here's some more facts for you autumb Ale over in 751 00:35:44,120 --> 00:35:47,640 Speaker 1: regards to wildlife in North America, animals that are hunted 752 00:35:47,680 --> 00:35:51,480 Speaker 1: sustainably with regulated and managed hunting seasons are some of 753 00:35:51,520 --> 00:35:55,640 Speaker 1: the healthiest wildlife populations throughout the entire country. And there's 754 00:35:55,680 --> 00:35:57,839 Speaker 1: a lot of reasons for that, some of which being 755 00:35:57,880 --> 00:36:02,880 Speaker 1: habitat protection, restoration, and also the cultural value that we 756 00:36:02,920 --> 00:36:06,799 Speaker 1: as humans assigned to them. That's a fact. I want 757 00:36:06,800 --> 00:36:09,760 Speaker 1: to ask Jeremiah Smith about his opinion on the future 758 00:36:09,760 --> 00:36:12,640 Speaker 1: of grizzly bears and what a potential hunting season could 759 00:36:12,640 --> 00:36:15,279 Speaker 1: look like if grizzlies were ever delisted. 760 00:36:15,800 --> 00:36:19,040 Speaker 4: In regards to grizzly bears, I hope we're a delisted population. 761 00:36:19,680 --> 00:36:23,600 Speaker 4: I hope we have the state management, which we already do, 762 00:36:23,760 --> 00:36:26,200 Speaker 4: to be honest with you, management of grizzly bears since 763 00:36:26,239 --> 00:36:28,640 Speaker 4: the day they've been listed. The states are doing the 764 00:36:28,719 --> 00:36:33,200 Speaker 4: day to day management and are federal partners. You know Yellowstone, 765 00:36:33,360 --> 00:36:36,520 Speaker 4: Grand Teeton, they're managing bears in there as well. The 766 00:36:36,560 --> 00:36:40,040 Speaker 4: Fish and Wildlife services role is really where we check 767 00:36:40,040 --> 00:36:42,400 Speaker 4: in because it is a delist or a listed population. 768 00:36:42,480 --> 00:36:45,279 Speaker 4: In order for us to do a management action, so 769 00:36:45,320 --> 00:36:47,960 Speaker 4: to speak, we need to get permission to do that. 770 00:36:48,280 --> 00:36:50,640 Speaker 4: And they've always been pretty dang good about working with 771 00:36:50,719 --> 00:36:52,600 Speaker 4: us on that because we're on the ground dealing with it. 772 00:36:52,640 --> 00:36:56,480 Speaker 4: But moving forward that there's still a I think a 773 00:36:56,560 --> 00:37:01,239 Speaker 4: viable population of grizzlies on the landscape that low conflicts 774 00:37:01,239 --> 00:37:04,360 Speaker 4: with people. You know, everybody's kind of getting along. I 775 00:37:04,360 --> 00:37:08,799 Speaker 4: think what we've accomplished inside the recovery zones with successful recoveries, 776 00:37:09,400 --> 00:37:11,600 Speaker 4: but I think that's something to hang a hat on. 777 00:37:11,880 --> 00:37:14,520 Speaker 4: I think they've done a great job. Those bears are 778 00:37:14,560 --> 00:37:17,960 Speaker 4: going to continue to reproduce and be available out there 779 00:37:18,000 --> 00:37:20,120 Speaker 4: for the folks that want to go and check them out, 780 00:37:20,120 --> 00:37:22,480 Speaker 4: and you know, maintain a little bit of a buffer 781 00:37:22,520 --> 00:37:25,680 Speaker 4: between people and bears. And that means that conflict number 782 00:37:25,760 --> 00:37:28,000 Speaker 4: drops and everybody's okay with that. 783 00:37:28,560 --> 00:37:32,799 Speaker 1: What about you know, the idea of grizzlies being delisted? 784 00:37:33,800 --> 00:37:36,040 Speaker 1: What about that changes? Like why you're like, man, that 785 00:37:36,080 --> 00:37:38,759 Speaker 1: would be great, fingers crossed that happens. What changes like, 786 00:37:38,800 --> 00:37:41,959 Speaker 1: what can y'all do with a delisted grizzly that y'all 787 00:37:41,960 --> 00:37:42,560 Speaker 1: can't do now. 788 00:37:43,560 --> 00:37:45,120 Speaker 5: I want to hear from you guys too, But it 789 00:37:45,160 --> 00:37:48,080 Speaker 5: won't change, like, we will continue to do our jobs, 790 00:37:48,680 --> 00:37:51,279 Speaker 5: but it's important that we uphold our end of the 791 00:37:51,360 --> 00:37:54,640 Speaker 5: deal with how the Endangered Species Act works. So I 792 00:37:54,680 --> 00:37:57,360 Speaker 5: think that's why it's important, and I think it's important 793 00:37:57,400 --> 00:38:00,520 Speaker 5: for all the other species that are on the list 794 00:38:01,360 --> 00:38:03,520 Speaker 5: for that to continue to function properly. 795 00:38:04,000 --> 00:38:04,360 Speaker 3: Gotcha. 796 00:38:04,520 --> 00:38:05,960 Speaker 6: Yeah, And I think it'd go a long way to 797 00:38:06,000 --> 00:38:08,840 Speaker 6: help build that tolerance back too. Some folks are just 798 00:38:09,400 --> 00:38:11,800 Speaker 6: you know, that have been dealing with a recovered population 799 00:38:12,000 --> 00:38:16,520 Speaker 6: for twenty years. Yeah, they're losing faith in the system. Jeremiah, 800 00:38:16,560 --> 00:38:18,319 Speaker 6: real quick, can you kind of speak to maybe what 801 00:38:18,440 --> 00:38:21,440 Speaker 6: a possible hunting season across the three states would look like, 802 00:38:21,480 --> 00:38:24,040 Speaker 6: because I know a ton of folks think that it's 803 00:38:24,080 --> 00:38:27,000 Speaker 6: just going to be open season potentially like black bears, 804 00:38:27,000 --> 00:38:28,759 Speaker 6: and within a year or two could hunt them back 805 00:38:28,760 --> 00:38:31,640 Speaker 6: down to you know, two hundred bears right. Well, I 806 00:38:31,680 --> 00:38:34,000 Speaker 6: mean I can't speak to you exactly how that'll look. 807 00:38:34,120 --> 00:38:37,440 Speaker 6: So a good example is the Montana is one of 808 00:38:37,480 --> 00:38:39,160 Speaker 6: the few states was asked to come up with hunting 809 00:38:39,200 --> 00:38:42,759 Speaker 6: regulations for grizzly bears. Okay, Okay, So we put together 810 00:38:42,800 --> 00:38:45,440 Speaker 6: a hunting regulation for grizzly bears, which really isn't much 811 00:38:45,440 --> 00:38:49,280 Speaker 6: different than our black bear hunting rags other than obviously 812 00:38:49,320 --> 00:38:51,840 Speaker 6: we don't have the numbers, and the population is shared 813 00:38:51,880 --> 00:38:56,000 Speaker 6: between Montana, Idaho, and Wyoming plus two National parks and 814 00:38:56,040 --> 00:38:59,280 Speaker 6: the Wind River Indian Reservation, right, and so the Montana 815 00:38:59,320 --> 00:39:03,359 Speaker 6: portion for hunting was literally designed inside the recovery zone 816 00:39:03,360 --> 00:39:06,160 Speaker 6: and what they call the demographic monitoring area. So imagine 817 00:39:06,200 --> 00:39:09,520 Speaker 6: there's Yellowstone, there's a cocentric circle outside of that, and 818 00:39:09,520 --> 00:39:11,880 Speaker 6: then there's another one outside of that. Inside of that 819 00:39:12,000 --> 00:39:14,400 Speaker 6: is where we count grizzly bears. Inside of that is 820 00:39:14,400 --> 00:39:17,960 Speaker 6: where mortalities count, births count, all of the count. So 821 00:39:18,040 --> 00:39:20,400 Speaker 6: everything you hear about the population of grizzly bears and 822 00:39:20,440 --> 00:39:23,439 Speaker 6: the Yellowstone ecosystem is inside of that ring. 823 00:39:23,600 --> 00:39:23,920 Speaker 3: Gotcha. 824 00:39:24,000 --> 00:39:26,560 Speaker 4: It's not the rest of Montana, the rest of Wyoming, 825 00:39:26,640 --> 00:39:29,520 Speaker 4: or the rest of Idaho. It's literally there. So a 826 00:39:29,600 --> 00:39:32,400 Speaker 4: thousand bears may not seem like a lot of bears. 827 00:39:32,440 --> 00:39:36,000 Speaker 4: That's just inside of that ring. And that's an estimated population, 828 00:39:36,560 --> 00:39:39,279 Speaker 4: that's not we know exactly how many are in there 829 00:39:39,440 --> 00:39:42,399 Speaker 4: it's typically more than what we think. And so our 830 00:39:42,480 --> 00:39:46,640 Speaker 4: hunting program was basically designed as a draw tag, like 831 00:39:46,680 --> 00:39:49,920 Speaker 4: a limited and we have each one of these units, 832 00:39:50,000 --> 00:39:52,800 Speaker 4: we have mortality limits that we have to follow inside 833 00:39:52,800 --> 00:39:56,000 Speaker 4: of that ring, and so based on the population estimate, 834 00:39:56,040 --> 00:39:58,120 Speaker 4: based on the estimate, and so you know, let's say 835 00:39:58,120 --> 00:40:01,800 Speaker 4: the population estimate was eight hundred on twenty twenty four, 836 00:40:02,280 --> 00:40:04,960 Speaker 4: and from twenty twenty four to twenty twenty five, we 837 00:40:05,040 --> 00:40:09,240 Speaker 4: have a mortality limit set that X number of bears 838 00:40:09,280 --> 00:40:14,240 Speaker 4: can die before it triggers something. So if that mortality 839 00:40:14,320 --> 00:40:17,320 Speaker 4: limit isn't met, there's a number in between that mortality 840 00:40:17,320 --> 00:40:19,960 Speaker 4: limit and where we got to. Those are the numbers 841 00:40:19,960 --> 00:40:23,239 Speaker 4: of bears that would actually potentially have and hunters would 842 00:40:23,239 --> 00:40:26,040 Speaker 4: have a chance to potentially hunt, and that number would 843 00:40:26,080 --> 00:40:30,400 Speaker 4: be split up between Wyoming, Idaho and southwest Montana. So 844 00:40:30,440 --> 00:40:33,120 Speaker 4: the reality is is that if that hunt took place, 845 00:40:33,480 --> 00:40:36,719 Speaker 4: you're talking one bear, maybe two or three in Montana 846 00:40:36,800 --> 00:40:41,080 Speaker 4: southwest inside the recovery zone in the DMA. Now outside 847 00:40:41,080 --> 00:40:44,080 Speaker 4: of that might be a different story. That's where our 848 00:40:44,080 --> 00:40:47,160 Speaker 4: commissions come into play and start talking about or do 849 00:40:47,200 --> 00:40:49,640 Speaker 4: we have areas that we're starting to see a higher 850 00:40:49,680 --> 00:40:52,799 Speaker 4: density grizzly bears that maybe isn't going to work in 851 00:40:52,280 --> 00:40:56,400 Speaker 4: an agricultural or a ranch setting or a subdivision setting, 852 00:40:56,440 --> 00:40:58,960 Speaker 4: things like that, right. I mean, there's a lot of 853 00:40:58,960 --> 00:41:02,719 Speaker 4: aspects to gay Man. So is the hunting season itself, 854 00:41:02,880 --> 00:41:05,239 Speaker 4: at least for the Montana portion that we can speak to, 855 00:41:05,239 --> 00:41:07,160 Speaker 4: would have been a very it's a very limited hunt 856 00:41:07,200 --> 00:41:10,400 Speaker 4: starting out, and it's a quota system most likely in 857 00:41:10,440 --> 00:41:14,800 Speaker 4: the early stages. But you know, Montana's arm rule essentially 858 00:41:14,880 --> 00:41:18,440 Speaker 4: says we were not going to hunt grizzlies after the delisting, 859 00:41:18,480 --> 00:41:21,279 Speaker 4: and that might change our current one says we won't 860 00:41:21,360 --> 00:41:24,239 Speaker 4: hunt for five years until, which is kind of a 861 00:41:24,280 --> 00:41:26,759 Speaker 4: monitoring period to kind of see how things go right. 862 00:41:27,040 --> 00:41:29,400 Speaker 1: So you wouldn't delist it, get a hunting season go 863 00:41:29,440 --> 00:41:31,040 Speaker 1: all right, general grizz tag everyone. 864 00:41:32,440 --> 00:41:35,080 Speaker 4: That's one of those common misunderstandings, Right. So even if 865 00:41:35,080 --> 00:41:37,480 Speaker 4: we decided to do that, even if the you know, 866 00:41:37,600 --> 00:41:40,359 Speaker 4: the state of Montana said we're gonna hunt grizzlies back 867 00:41:41,560 --> 00:41:44,960 Speaker 4: because it was a listed population, there's triggers set in place. 868 00:41:45,239 --> 00:41:47,960 Speaker 4: So if Montana, Wyoming, and Idaho decided we're gonna go 869 00:41:48,000 --> 00:41:49,839 Speaker 4: out and we're gonna shoot every grizzly bear and bring 870 00:41:49,880 --> 00:41:52,520 Speaker 4: it back down. When that number gets down to a 871 00:41:52,600 --> 00:41:56,400 Speaker 4: specific spot, let's say it's eight hundred or five hundred, 872 00:41:57,040 --> 00:41:59,399 Speaker 4: the triggers kick in and you're right back on the list. 873 00:41:59,440 --> 00:42:02,480 Speaker 4: So there's no reason why anyone state would want to 874 00:42:02,640 --> 00:42:06,160 Speaker 4: hunt grizzly bears back to the extinction. It just doesn't 875 00:42:06,160 --> 00:42:09,000 Speaker 4: make any sense. There's checks and valid and there's lots 876 00:42:09,000 --> 00:42:11,600 Speaker 4: of people that would argue that, and that's that's their opinion, 877 00:42:11,640 --> 00:42:13,279 Speaker 4: and it's perfectly fine with them if they want to 878 00:42:13,360 --> 00:42:13,879 Speaker 4: argue that way. 879 00:42:14,000 --> 00:42:15,160 Speaker 3: I totally understand that. 880 00:42:15,239 --> 00:42:18,600 Speaker 4: But again a lot of misunderstanding and misinformation out there 881 00:42:18,640 --> 00:42:20,680 Speaker 4: about what a hunt actually looks like in a state 882 00:42:20,719 --> 00:42:24,120 Speaker 4: of Montana, or Wyoming or Idaho for that matter. But 883 00:42:24,239 --> 00:42:28,160 Speaker 4: I can only speak to Montana's portion of the Yellowstone ecosystem. 884 00:42:28,680 --> 00:42:31,480 Speaker 1: This is why I find so much value in hearing 885 00:42:31,520 --> 00:42:35,399 Speaker 1: from folks like Jeremiah Kyle and Danielle. These folks are 886 00:42:35,400 --> 00:42:40,200 Speaker 1: out there every day conducting scientific actions, research and observations 887 00:42:40,400 --> 00:42:43,360 Speaker 1: and can give us thorough answers about what an actual 888 00:42:43,400 --> 00:42:46,920 Speaker 1: grizzly hunting season could look like. If that day ever comes, 889 00:42:47,239 --> 00:42:48,960 Speaker 1: I want to give Casey a chance to weigh on 890 00:42:49,000 --> 00:42:50,440 Speaker 1: the future of grizzlies as well. 891 00:42:50,760 --> 00:42:53,000 Speaker 2: Try to find the people who are asking questions and 892 00:42:53,080 --> 00:42:55,640 Speaker 2: are always trying to learn. They kind of ride the 893 00:42:55,640 --> 00:42:57,640 Speaker 2: fence in the middle there, and that's where I said 894 00:42:57,640 --> 00:42:59,239 Speaker 2: to you, man, and that's the one thing sitting here. 895 00:42:59,280 --> 00:43:01,880 Speaker 2: I might have thirty plus years of experience with grizzly bears, 896 00:43:02,360 --> 00:43:06,040 Speaker 2: but I'm learning every day. And as I go out 897 00:43:06,040 --> 00:43:08,280 Speaker 2: there and learn, I just like to try to answer 898 00:43:08,280 --> 00:43:10,880 Speaker 2: those questions the best I can, and I'm wrong sometimes, 899 00:43:11,040 --> 00:43:12,759 Speaker 2: and that's that's just the truth of it. That's kind 900 00:43:12,760 --> 00:43:15,799 Speaker 2: of the wonderfulness about being around unpredictable animals in the 901 00:43:16,040 --> 00:43:18,640 Speaker 2: in the wild, where it's just kind of an unpredictable 902 00:43:18,640 --> 00:43:20,680 Speaker 2: place and it's always changing in the day and age. 903 00:43:21,080 --> 00:43:23,440 Speaker 2: I think the future of grizzly bears in North America 904 00:43:23,520 --> 00:43:25,440 Speaker 2: is going to be a positive thing. I think some 905 00:43:25,480 --> 00:43:27,799 Speaker 2: of those old fearful mindsets are kind of going away 906 00:43:27,840 --> 00:43:31,040 Speaker 2: a little bit. I think new the newer generations are. 907 00:43:31,880 --> 00:43:34,479 Speaker 2: They're they're believing in science, they're leaning into those things, 908 00:43:34,560 --> 00:43:36,880 Speaker 2: and I see what's going to probably happen and what 909 00:43:37,000 --> 00:43:39,759 Speaker 2: I kind of hope is going to happen. You know, ultimately, 910 00:43:39,840 --> 00:43:42,480 Speaker 2: if the Endangered Species Act was successful and the pairs 911 00:43:42,600 --> 00:43:45,000 Speaker 2: recover and they get to a point where they are 912 00:43:45,040 --> 00:43:49,320 Speaker 2: an animal that can be hunted, then they could become 913 00:43:49,640 --> 00:43:52,319 Speaker 2: the value of them changes a little bit. I think 914 00:43:52,360 --> 00:43:54,279 Speaker 2: at some levels, what we want is that population to 915 00:43:54,320 --> 00:43:55,080 Speaker 2: get so big. 916 00:43:54,920 --> 00:43:58,360 Speaker 7: That that we can do that that it's a healthy population, 917 00:43:58,440 --> 00:44:02,120 Speaker 7: that the resources, financial resources are going to continue to 918 00:44:02,160 --> 00:44:04,960 Speaker 7: help the bear expand into places that they can live, 919 00:44:05,360 --> 00:44:07,160 Speaker 7: and that the population the bears are going to just 920 00:44:07,160 --> 00:44:08,240 Speaker 7: get healthier and healthier. 921 00:44:08,840 --> 00:44:11,520 Speaker 2: That would be the perfect world where everybody wins. Right, 922 00:44:12,000 --> 00:44:13,480 Speaker 2: you go out there and you still have grizzly bears 923 00:44:13,480 --> 00:44:16,279 Speaker 2: on the landscape. That's the goal. And I think they 924 00:44:16,320 --> 00:44:19,200 Speaker 2: were going that diriction. You know, but you knows everything. 925 00:44:19,239 --> 00:44:21,399 Speaker 2: The pendulum swings so hard back and forth. 926 00:44:21,440 --> 00:44:22,480 Speaker 3: It's like a wrecking ball, man. 927 00:44:22,800 --> 00:44:24,520 Speaker 2: You know, you gain here and you lose here, and 928 00:44:24,520 --> 00:44:27,560 Speaker 2: you gain here and you lose here. But I think 929 00:44:27,600 --> 00:44:31,160 Speaker 2: that ultimately it seems like it's going that way, and 930 00:44:31,200 --> 00:44:32,160 Speaker 2: I hope that's where it goes. 931 00:44:38,120 --> 00:44:41,080 Speaker 1: So we have the desired outcomes from both Montana Fish 932 00:44:41,120 --> 00:44:44,600 Speaker 1: Wildlife and Parks as well as Casey Anderson. I wouldn't 933 00:44:44,600 --> 00:44:48,120 Speaker 1: say they're identical but they do share some strong similarities 934 00:44:48,480 --> 00:44:52,360 Speaker 1: lining up and delisting a regulated hunting season and wanting 935 00:44:52,400 --> 00:44:55,160 Speaker 1: a bright future for grizzlies by way of a healthy 936 00:44:55,200 --> 00:44:59,319 Speaker 1: population and minimal conflict with humans. So what do y'all 937 00:44:59,320 --> 00:45:02,000 Speaker 1: want for an out? What do you think or hope 938 00:45:02,040 --> 00:45:04,520 Speaker 1: the future of grizzly bears in the United States will be? 939 00:45:05,120 --> 00:45:07,040 Speaker 1: Have you come up with an answer for if we 940 00:45:07,160 --> 00:45:11,480 Speaker 1: need grizzly bears here? And why think about it? I 941 00:45:11,480 --> 00:45:14,360 Speaker 1: hope all of you enjoyed this episode of Backwoods University 942 00:45:14,480 --> 00:45:17,160 Speaker 1: as well as bear Grease in This Country Life. If 943 00:45:17,200 --> 00:45:19,640 Speaker 1: you liked this episode, share it with someone you know 944 00:45:19,719 --> 00:45:22,319 Speaker 1: that has strong opinions on grizzly bears, and be sure 945 00:45:22,320 --> 00:45:24,959 Speaker 1: to stick around because if this podcast was a bear, 946 00:45:25,200 --> 00:45:27,359 Speaker 1: we haven't even come out of the den yet. There's 947 00:45:27,400 --> 00:45:29,000 Speaker 1: a whole lot more on the way.