1 00:00:01,840 --> 00:00:04,760 Speaker 1: Welcome to the Wired to Hunt podcast, your guide to 2 00:00:04,800 --> 00:00:08,400 Speaker 1: the White Tail Woods, presented by first Light, creating proven 3 00:00:08,560 --> 00:00:12,440 Speaker 1: versatile hunting apparel for the stand saddler Blind, First Light, 4 00:00:12,680 --> 00:00:17,239 Speaker 1: Go Farther, stay Longer, and now your host, Mark Kenyon. 5 00:00:17,600 --> 00:00:20,880 Speaker 1: Welcome to the Wire to Hunt Podcast. I'm your host, 6 00:00:20,960 --> 00:00:23,240 Speaker 1: Mark Kenyon, and this week on the show, I'm joined 7 00:00:23,239 --> 00:00:27,160 Speaker 1: by wildlife biologist and author Douglas Chadwick to explore the 8 00:00:27,160 --> 00:00:29,960 Speaker 1: current state of wildlife across the world today in a 9 00:00:30,000 --> 00:00:32,840 Speaker 1: new way of thinking that might just save those preachers 10 00:00:33,000 --> 00:00:44,240 Speaker 1: and us. All right, welcome back to the Wire to 11 00:00:44,320 --> 00:00:47,600 Speaker 1: Hunt podcast, brought to you by First Light. It's me 12 00:00:47,880 --> 00:00:52,080 Speaker 1: Mark Kenyon. I am back in the saddle. Here. The 13 00:00:52,760 --> 00:00:56,800 Speaker 1: Taylor Swift concerts, the Yoyo competitions, the rock collecting, exploits 14 00:00:57,080 --> 00:01:00,600 Speaker 1: with Spencer, whatever it is, those crazy things that's been 15 00:01:00,920 --> 00:01:05,120 Speaker 1: filling your head with, They're all done. I'm out here, 16 00:01:05,560 --> 00:01:08,240 Speaker 1: back in the saddle, back here on the podcast. Hope 17 00:01:08,240 --> 00:01:13,040 Speaker 1: you enjoyed Tony's guest hosting over the last month, exploring 18 00:01:13,080 --> 00:01:16,240 Speaker 1: all sorts of different offseason projects that I think will 19 00:01:16,280 --> 00:01:20,120 Speaker 1: help all of us as we lead into this next season. 20 00:01:21,120 --> 00:01:22,959 Speaker 1: But here I am, and we are kicking off a 21 00:01:23,000 --> 00:01:25,240 Speaker 1: new series. This is a series we've done for the 22 00:01:25,240 --> 00:01:27,520 Speaker 1: past couple of years. It's one of my favorites that 23 00:01:27,600 --> 00:01:32,240 Speaker 1: we do every year, and that's Conservation Month. We are 24 00:01:32,280 --> 00:01:35,880 Speaker 1: going to take a step back from you know, deep 25 00:01:35,959 --> 00:01:41,360 Speaker 1: hunting conversations and tactical hunting conversations and instead have some 26 00:01:42,040 --> 00:01:47,240 Speaker 1: have some conversation around the thing, the resource, the creatures 27 00:01:47,280 --> 00:01:51,160 Speaker 1: that allow us to enjoy this hunting lifestyle. There wouldn't 28 00:01:51,160 --> 00:01:53,480 Speaker 1: be any deer chase, there wouldn't be any wild places 29 00:01:53,480 --> 00:01:56,560 Speaker 1: to chase them on, there wouldn't be any beautiful Mountain 30 00:01:56,680 --> 00:02:01,280 Speaker 1: Vista's Crystal career streams of these things that we enjoy 31 00:02:01,400 --> 00:02:04,760 Speaker 1: so much as hunters and anglers if there weren't people 32 00:02:05,240 --> 00:02:10,440 Speaker 1: thinking about and working for the conservation of wild animals 33 00:02:10,680 --> 00:02:13,400 Speaker 1: and places. And that's what this month is all about, 34 00:02:13,919 --> 00:02:17,960 Speaker 1: is stepping into that world and exploring, you know, what 35 00:02:18,040 --> 00:02:19,720 Speaker 1: kind of impact we might be able to have there, 36 00:02:20,400 --> 00:02:23,760 Speaker 1: what's going on in the wilder world. What should we 37 00:02:23,800 --> 00:02:27,400 Speaker 1: be excited about, what should we be concerned about, and 38 00:02:27,480 --> 00:02:32,160 Speaker 1: what's our role to play? And you know, I gotta 39 00:02:32,200 --> 00:02:36,600 Speaker 1: tell you, just on a personal note, that this kind 40 00:02:36,639 --> 00:02:40,640 Speaker 1: of stuff can be fun. This kind of work, these 41 00:02:40,720 --> 00:02:43,960 Speaker 1: kinds of conversations. It does not have to be dreary, 42 00:02:44,000 --> 00:02:46,840 Speaker 1: it does not have to be a drag. This kind 43 00:02:46,880 --> 00:02:49,639 Speaker 1: of stuff is fun. And I have a personal, real 44 00:02:49,720 --> 00:02:54,240 Speaker 1: world example of this just from last week, because as 45 00:02:54,560 --> 00:02:56,880 Speaker 1: some of you might know, give my little updates here. 46 00:02:56,960 --> 00:02:59,840 Speaker 1: The Working for Wildlife tour kicked off at the end 47 00:02:59,880 --> 00:03:04,760 Speaker 1: of March. We had our first event outside of Boston, Massachusetts, 48 00:03:05,360 --> 00:03:08,600 Speaker 1: and me in dozens and dozens and dozens of many 49 00:03:08,639 --> 00:03:12,280 Speaker 1: of you and others came out to a wildlife management 50 00:03:12,280 --> 00:03:16,400 Speaker 1: area like I mentioned in Massachusetts. We got together on 51 00:03:16,440 --> 00:03:20,280 Speaker 1: a Sunday and we picked up a whole load of trash, 52 00:03:20,360 --> 00:03:24,280 Speaker 1: like literally entire dump truck load. More than one thousand 53 00:03:24,400 --> 00:03:28,280 Speaker 1: pounds of trash were picked up by folks out there 54 00:03:28,320 --> 00:03:31,000 Speaker 1: that day. We put up I think six different wood 55 00:03:31,080 --> 00:03:34,960 Speaker 1: duck boxes. We pulled out of there, all sorts of 56 00:03:34,960 --> 00:03:39,960 Speaker 1: shotgun shells, tires, beer cans, you name it. I mean, 57 00:03:40,040 --> 00:03:42,360 Speaker 1: there's a whole lot of crap that was out there, 58 00:03:43,400 --> 00:03:47,120 Speaker 1: you know, fouling up this beautiful piece of public land 59 00:03:47,640 --> 00:03:51,360 Speaker 1: that is no longer there. It was good work. It 60 00:03:52,560 --> 00:03:55,360 Speaker 1: was just rewarding to do something like that and to 61 00:03:55,440 --> 00:03:59,160 Speaker 1: immediately see and in some small way things get a 62 00:03:59,160 --> 00:04:02,200 Speaker 1: little bit better by way of our of our handiwork 63 00:04:02,280 --> 00:04:05,560 Speaker 1: and our time. But what stood out the most, maybe, 64 00:04:05,640 --> 00:04:07,400 Speaker 1: and I guess I should have known this coming in, 65 00:04:07,480 --> 00:04:10,960 Speaker 1: but when I was really reminded of coming out of it, 66 00:04:11,000 --> 00:04:13,000 Speaker 1: was just how much fun it is to do that 67 00:04:13,080 --> 00:04:14,960 Speaker 1: kind of stuff, To get out there with other people 68 00:04:15,040 --> 00:04:18,599 Speaker 1: that care about wildlife, that like to hunt or like 69 00:04:18,720 --> 00:04:21,719 Speaker 1: to fish, and who also like to keep these things around, 70 00:04:21,760 --> 00:04:24,200 Speaker 1: who also want to give back. Just being around other 71 00:04:24,240 --> 00:04:26,520 Speaker 1: people that cared about those same things and all kind 72 00:04:26,520 --> 00:04:30,760 Speaker 1: of joining in to do something good and worthwhile was 73 00:04:31,120 --> 00:04:37,560 Speaker 1: really fun and re energizing and uplifting. So I came 74 00:04:37,600 --> 00:04:40,240 Speaker 1: out of that just you know, more charged up than 75 00:04:40,279 --> 00:04:42,320 Speaker 1: ever to just do more of those kinds of things, 76 00:04:42,360 --> 00:04:46,839 Speaker 1: to you know, to step away from the words of things, 77 00:04:46,839 --> 00:04:48,800 Speaker 1: you know, worrying about what you read on the news, 78 00:04:49,040 --> 00:04:51,719 Speaker 1: or you know, even being on a podcast like this 79 00:04:51,839 --> 00:04:54,400 Speaker 1: talking about ideas of what to do, and actually getting 80 00:04:54,400 --> 00:04:58,520 Speaker 1: into the world of action, actually doing something that is good, 81 00:05:00,160 --> 00:05:04,240 Speaker 1: that felt great, and that that's got me more excited 82 00:05:04,279 --> 00:05:07,880 Speaker 1: than ever to do this series this month exploring different 83 00:05:07,880 --> 00:05:10,720 Speaker 1: ways we can all take action to make sure that 84 00:05:11,520 --> 00:05:14,760 Speaker 1: you know, our kids and grandkids do still have public 85 00:05:14,839 --> 00:05:20,839 Speaker 1: land to explore, do have wild, quiet, clean places to 86 00:05:20,960 --> 00:05:25,359 Speaker 1: explore that do have great hunting opportunities or wildlife viewing 87 00:05:25,360 --> 00:05:28,679 Speaker 1: opportunities or phishing opportunities, that there's still some wild creatures 88 00:05:28,760 --> 00:05:32,880 Speaker 1: run around out there that we all enjoy and making 89 00:05:32,880 --> 00:05:34,640 Speaker 1: sure if things are better for the future. That's the 90 00:05:34,720 --> 00:05:37,080 Speaker 1: kind of stuff that I'm excited about talking about this week. 91 00:05:37,080 --> 00:05:38,599 Speaker 1: And we're gonna kind of go all over the place 92 00:05:38,760 --> 00:05:41,400 Speaker 1: with this series. We're gonna have, you know, some episodes 93 00:05:41,440 --> 00:05:44,119 Speaker 1: that are very high level looking at the worldwide state 94 00:05:44,360 --> 00:05:47,479 Speaker 1: of nature, what's going on, that's that's gonna be today. 95 00:05:47,520 --> 00:05:50,359 Speaker 1: Really we're gonna look at different ideas about how to 96 00:05:50,400 --> 00:05:53,039 Speaker 1: think about ourselves and relationship to nature. But we're also 97 00:05:53,080 --> 00:05:56,680 Speaker 1: going to zoom really tightly into things like you know, 98 00:05:56,680 --> 00:05:59,200 Speaker 1: we're gonna have some episodes of very specifically focused on 99 00:05:59,240 --> 00:06:01,960 Speaker 1: white tail deer and others that are focused on all 100 00:06:01,960 --> 00:06:04,400 Speaker 1: sorts of things. We're gonna have some episodes that go, 101 00:06:04,760 --> 00:06:07,040 Speaker 1: you know, right into the nitty you're witty, for example, 102 00:06:07,160 --> 00:06:11,360 Speaker 1: of one specific piece of conservation legislation that will have 103 00:06:11,440 --> 00:06:15,400 Speaker 1: huge impacts on whitetailed deer and private land conservation and 104 00:06:15,520 --> 00:06:19,440 Speaker 1: hunter access and habitat protection, all kinds of stuff like that. 105 00:06:19,480 --> 00:06:23,240 Speaker 1: We've got a conversation next week on that topic. We're 106 00:06:23,279 --> 00:06:26,600 Speaker 1: going to reach out to a couple of folks and 107 00:06:26,680 --> 00:06:30,120 Speaker 1: get into all sorts of different ideas for you know 108 00:06:30,200 --> 00:06:32,800 Speaker 1: how we and as hunters and anglers, can be more 109 00:06:32,800 --> 00:06:36,039 Speaker 1: effective advocates for these things that we care about. So 110 00:06:36,320 --> 00:06:39,280 Speaker 1: we're gonna be all over the place, and today, as 111 00:06:39,320 --> 00:06:42,080 Speaker 1: I mentioned, we're starting out at this high level thirty 112 00:06:42,120 --> 00:06:46,239 Speaker 1: thousand foot overview of nature and wildlife and where things 113 00:06:46,279 --> 00:06:48,760 Speaker 1: stand today, and not just when it comes to deer 114 00:06:48,839 --> 00:06:51,320 Speaker 1: or wild game here in America, but across the world. 115 00:06:52,160 --> 00:06:54,880 Speaker 1: And our guests today is going to help us explore 116 00:06:54,920 --> 00:07:00,680 Speaker 1: that and also consider, you know how, how we might 117 00:07:00,760 --> 00:07:06,000 Speaker 1: be thinking about our relationship or obligation to these wild things. 118 00:07:06,880 --> 00:07:08,560 Speaker 1: So our guest today, as I mentioned at the top, 119 00:07:08,680 --> 00:07:12,560 Speaker 1: is Douglas Chadwick. He is a wildlife biologist. He's a 120 00:07:12,680 --> 00:07:17,360 Speaker 1: widely published writer, frequently seen in the pages of magazines 121 00:07:17,400 --> 00:07:21,560 Speaker 1: like the National Geographic and the author of I believe 122 00:07:21,640 --> 00:07:27,280 Speaker 1: more than fourteen books, including The Wolverine Way, Tracking Gobie Grizzlies, 123 00:07:27,720 --> 00:07:31,880 Speaker 1: and most recently four Fifths a Grizzly, a new perspective 124 00:07:31,880 --> 00:07:36,200 Speaker 1: on nature that just might save us all. And Doug 125 00:07:36,320 --> 00:07:39,560 Speaker 1: has he has lived an incredible life. It seems he 126 00:07:39,600 --> 00:07:42,640 Speaker 1: has seen some amazing things. He's traveled the wild world, 127 00:07:43,280 --> 00:07:48,800 Speaker 1: gotten up close and personal with grizzlies, whales, mountain goats, 128 00:07:48,800 --> 00:07:53,920 Speaker 1: and just so many other fascinating wild creatures. And over 129 00:07:53,960 --> 00:07:57,760 Speaker 1: the course of those years and expeditions, Doug has seen 130 00:07:57,760 --> 00:08:02,640 Speaker 1: a diminishing world. He has had this firsthand experience seeing 131 00:08:02,760 --> 00:08:07,160 Speaker 1: wild places wink out and wild creatures pushed to the brink. 132 00:08:07,760 --> 00:08:10,920 Speaker 1: And all of this has seemed to have led Doug 133 00:08:10,960 --> 00:08:15,360 Speaker 1: to a realization that maybe it's time we rethink our 134 00:08:15,440 --> 00:08:18,360 Speaker 1: place alongside these animals, or at least rethink how we 135 00:08:18,480 --> 00:08:23,480 Speaker 1: think about her place with these animals. Doug, it seems 136 00:08:24,040 --> 00:08:26,640 Speaker 1: began to think that we might have more in common 137 00:08:26,680 --> 00:08:29,440 Speaker 1: with these animals than we once thought. And if that's true, 138 00:08:30,440 --> 00:08:32,640 Speaker 1: if we do have more in common with these animals, 139 00:08:32,640 --> 00:08:35,080 Speaker 1: what does that mean for how we live with or 140 00:08:35,160 --> 00:08:38,960 Speaker 1: conserve wild places and animals. These are the thoughts and 141 00:08:39,040 --> 00:08:42,240 Speaker 1: ideas that eventually led to this recent book by Doug, 142 00:08:42,440 --> 00:08:46,520 Speaker 1: Four Fifths of Grizzly, which, within its pages explores the 143 00:08:46,640 --> 00:08:51,480 Speaker 1: real and widespread threats currently facing wildlife all across the 144 00:08:51,480 --> 00:08:54,080 Speaker 1: world today, what we might be able to do to 145 00:08:54,200 --> 00:08:57,800 Speaker 1: address it, in some great examples of successes that we 146 00:08:57,840 --> 00:09:03,080 Speaker 1: are seeing today in that pursuit. That is that's what 147 00:09:03,160 --> 00:09:06,160 Speaker 1: made this book so interesting to me, and that is 148 00:09:06,200 --> 00:09:08,280 Speaker 1: why I was so excited that Doug was willing to 149 00:09:08,320 --> 00:09:12,240 Speaker 1: come on here and talk to us about a new 150 00:09:12,320 --> 00:09:16,800 Speaker 1: way of seeing ourselves as a part of nature, not 151 00:09:16,960 --> 00:09:21,640 Speaker 1: apart from nature, but a part of nature. This fundamental 152 00:09:21,760 --> 00:09:25,200 Speaker 1: shift in how we think about ourselves that I think 153 00:09:25,200 --> 00:09:28,320 Speaker 1: can help us become better hunters. I think it can 154 00:09:28,360 --> 00:09:32,160 Speaker 1: help us become happier humans, and I definitely think it 155 00:09:32,200 --> 00:09:36,320 Speaker 1: can help us become more effective stewards of these wild things. 156 00:09:36,320 --> 00:09:39,120 Speaker 1: And so if we can, if we can process some 157 00:09:39,200 --> 00:09:43,640 Speaker 1: of this and think about this and maybe reconsider where 158 00:09:43,720 --> 00:09:46,640 Speaker 1: we stand in relation to the deer that we hunt, 159 00:09:47,480 --> 00:09:52,440 Speaker 1: the turkeys we chase, the fish we catch, the bears 160 00:09:52,520 --> 00:09:54,959 Speaker 1: we watch when we drive through Yellowstone, whatever it might be, 161 00:09:55,120 --> 00:09:59,520 Speaker 1: maybe all of that can help us take these next 162 00:09:59,520 --> 00:10:01,800 Speaker 1: couple of month s worts of conversations and put it 163 00:10:01,840 --> 00:10:05,360 Speaker 1: into action, leading to better things for us in our 164 00:10:05,400 --> 00:10:09,320 Speaker 1: outdoor pursuits leading to better opportunities for our kids and 165 00:10:09,720 --> 00:10:13,480 Speaker 1: so so much more so. That is the game plan today. 166 00:10:14,320 --> 00:10:17,920 Speaker 1: Thanks for being here, Thanks for tuning in. Let's get 167 00:10:17,920 --> 00:10:23,120 Speaker 1: to my chat now with Douglas Chadwick. All right now 168 00:10:23,160 --> 00:10:26,000 Speaker 1: with me on the line. I'm really excited to have 169 00:10:26,240 --> 00:10:31,200 Speaker 1: mister Douglas Chadwick. Doug, thank you so much for being here. Oh, 170 00:10:31,360 --> 00:10:35,120 Speaker 1: I'm happy to be here, of course. And you're in Bozeman, 171 00:10:35,160 --> 00:10:38,959 Speaker 1: aren't you. So the company Meetator is based in Bozeman, 172 00:10:39,040 --> 00:10:43,600 Speaker 1: but I actually split my time between Michigan and Idaho, 173 00:10:45,000 --> 00:10:48,120 Speaker 1: so I'm kind of all over the place. Well, I 174 00:10:48,200 --> 00:10:50,280 Speaker 1: was gonna I was gonna try to console you because 175 00:10:50,280 --> 00:10:52,800 Speaker 1: I think they got almost two feet in so snow 176 00:10:52,800 --> 00:10:58,320 Speaker 1: em Bozeman yesterday. Yes, because spring of going rapidly backwards 177 00:10:58,360 --> 00:11:00,880 Speaker 1: in some parts of the Rockies look good today on 178 00:11:00,920 --> 00:11:03,200 Speaker 1: the west side. Yeah, A lot of my friends and 179 00:11:03,280 --> 00:11:07,360 Speaker 1: Bozeman have been sharing pictures of that dreaded two foot 180 00:11:07,400 --> 00:11:10,440 Speaker 1: snowfall when they're hoping to see some kind of green 181 00:11:10,480 --> 00:11:13,400 Speaker 1: growth again. I think at my place in Idaho there's 182 00:11:13,440 --> 00:11:16,560 Speaker 1: something like four feet still. So I'm gonna be digging 183 00:11:16,600 --> 00:11:18,240 Speaker 1: my way into the driveway here in a few weeks 184 00:11:18,240 --> 00:11:23,640 Speaker 1: when I get out there. But I'm sure you've had 185 00:11:23,640 --> 00:11:25,000 Speaker 1: a lot of that snowfall up in your neck of 186 00:11:25,000 --> 00:11:28,320 Speaker 1: the Wits two. Huh, we have. It's been good. I 187 00:11:28,440 --> 00:11:31,240 Speaker 1: do a lot of cross country stand and just animal 188 00:11:31,280 --> 00:11:36,320 Speaker 1: tracking getting out and of course all of us in 189 00:11:36,440 --> 00:11:40,760 Speaker 1: Montana well and a lot of the country. You know, 190 00:11:40,840 --> 00:11:44,679 Speaker 1: we're praying for more and moist here and save us 191 00:11:44,720 --> 00:11:49,320 Speaker 1: from once again having a wildfire season start a month early. 192 00:11:50,520 --> 00:11:54,160 Speaker 1: You know, the bigger picture of things here is there's 193 00:11:54,200 --> 00:11:57,000 Speaker 1: a lot of transition going on. I'm looking at the 194 00:11:57,040 --> 00:12:01,160 Speaker 1: Continental Divide from my home in white Fish, and I've 195 00:12:01,240 --> 00:12:07,080 Speaker 1: hiked out all my life, and I'm watching glaciers literally 196 00:12:07,080 --> 00:12:09,760 Speaker 1: shrink in front of my eyes and trees marching up 197 00:12:09,760 --> 00:12:12,880 Speaker 1: the slopes into the tundra. And you know, it's it's 198 00:12:13,800 --> 00:12:17,560 Speaker 1: a real phenomenon, that UM effects. I used to study 199 00:12:17,640 --> 00:12:20,280 Speaker 1: mountain goats and in the park as well as in 200 00:12:20,360 --> 00:12:24,360 Speaker 1: the San rang Von, Canada, and and uh, you know, 201 00:12:24,400 --> 00:12:26,960 Speaker 1: the use high altitude critters have got a whole new 202 00:12:27,960 --> 00:12:35,000 Speaker 1: um center rules to survive by. So um anyway, lots 203 00:12:35,040 --> 00:12:38,880 Speaker 1: of snow is good. Let the glaciers grow bigger. Yes, yeah, 204 00:12:38,960 --> 00:12:42,080 Speaker 1: we need we need the snow, the moisture, the coal. 205 00:12:42,120 --> 00:12:43,800 Speaker 1: That's going to be good for some critters out there, 206 00:12:43,800 --> 00:12:46,160 Speaker 1: will be good for the fish and the rivers. Uh, 207 00:12:46,240 --> 00:12:49,079 Speaker 1: it'll be good for exactly like you said, hopefully not 208 00:12:49,200 --> 00:12:52,120 Speaker 1: as bad of a wildfire season. So yeah, I think 209 00:12:52,400 --> 00:12:55,600 Speaker 1: I'm sure all my buddies in Bozeman, uh can handle 210 00:12:55,600 --> 00:12:58,760 Speaker 1: a little extra snow in their hopes for spring because 211 00:12:58,760 --> 00:13:02,839 Speaker 1: of the greater good. Um yep, So you mentioned the 212 00:13:03,480 --> 00:13:06,079 Speaker 1: work you used to do with mountain goats, and um, 213 00:13:06,160 --> 00:13:09,360 Speaker 1: you know, I've I've become relatively steeped in your history 214 00:13:09,480 --> 00:13:12,520 Speaker 1: preparing for this and reading your works over the years. Uh, 215 00:13:12,679 --> 00:13:16,440 Speaker 1: You've you've lived, and I guess I'm speaking for you, 216 00:13:16,520 --> 00:13:17,960 Speaker 1: so correct me if you think I'm wrong here. But 217 00:13:18,000 --> 00:13:21,560 Speaker 1: it seems like you've lived a fascinating life. That you've 218 00:13:21,559 --> 00:13:24,880 Speaker 1: been able to go to some wild places, you've got 219 00:13:24,920 --> 00:13:28,960 Speaker 1: to study such charismatic animals, You've you've been able to 220 00:13:29,000 --> 00:13:33,240 Speaker 1: travel the world and just see and experience unbelievable things. Um. 221 00:13:34,160 --> 00:13:37,880 Speaker 1: And and I'm sure it's it's obvious to me about 222 00:13:37,920 --> 00:13:39,800 Speaker 1: you know, why you would want to do these things 223 00:13:39,800 --> 00:13:42,720 Speaker 1: and why you why this I'm sure self fulfilling for you. 224 00:13:42,760 --> 00:13:46,240 Speaker 1: But what my question is, to a degree, is is 225 00:13:46,280 --> 00:13:49,360 Speaker 1: when did those things? When did those travels in your 226 00:13:49,400 --> 00:13:52,120 Speaker 1: work as a biologist and a writer, When did all 227 00:13:52,200 --> 00:13:57,920 Speaker 1: that shift for you from just adventure seeking or curiosity satiating. 228 00:13:58,480 --> 00:14:04,160 Speaker 1: When did it shift from that to advocacy? When did 229 00:14:04,200 --> 00:14:07,359 Speaker 1: you shift from me a consumer of these wild experiences 230 00:14:07,360 --> 00:14:11,400 Speaker 1: to then wanting to protect them or advocate for them. 231 00:14:11,440 --> 00:14:13,160 Speaker 1: When did that happen for you? How did that happen 232 00:14:13,200 --> 00:14:18,600 Speaker 1: for you? Well, boy, us along and complex question. I'll 233 00:14:18,600 --> 00:14:22,680 Speaker 1: try to keep it short. It actually started pretty early, mark, 234 00:14:22,800 --> 00:14:28,680 Speaker 1: because I did my graduate work and wildlife biology studying 235 00:14:28,720 --> 00:14:31,480 Speaker 1: mountain goats, and I studied them in an area that 236 00:14:31,600 --> 00:14:37,160 Speaker 1: was back in the day. I'm getting kind of antique, 237 00:14:37,280 --> 00:14:41,040 Speaker 1: And this was back in the seventies when mountain goats 238 00:14:41,040 --> 00:14:44,320 Speaker 1: were being hunted unlimited. They didn't know anything about them 239 00:14:44,360 --> 00:14:47,880 Speaker 1: and didn't recognize them as a whole different kind of 240 00:14:47,960 --> 00:14:51,840 Speaker 1: critter than say, deer and elk, their closest relative in 241 00:14:51,920 --> 00:14:57,880 Speaker 1: North America, as the Muscos and other relatives are all 242 00:14:57,880 --> 00:15:02,680 Speaker 1: found on the east coast of Asia, and they have 243 00:15:02,720 --> 00:15:07,640 Speaker 1: a whole different social system and slow reproduction and all 244 00:15:07,720 --> 00:15:12,400 Speaker 1: kinds of things. So Anyway, I was up studying mountain goats, 245 00:15:12,400 --> 00:15:15,160 Speaker 1: and I was watching new roads going to the back country, 246 00:15:15,840 --> 00:15:22,240 Speaker 1: and grizzly bears were essentially being on being hundred unlimited 247 00:15:22,320 --> 00:15:26,520 Speaker 1: in those days too, and there were very few regulations 248 00:15:26,520 --> 00:15:29,680 Speaker 1: on logging and road building. So I kind of got 249 00:15:29,760 --> 00:15:34,480 Speaker 1: activated early on because I was watching goats disappear and 250 00:15:34,720 --> 00:15:37,920 Speaker 1: that was happening throughout the large choke of the goat range, 251 00:15:38,080 --> 00:15:43,200 Speaker 1: and I was also watching grizzly bears disappear. They were 252 00:15:43,320 --> 00:15:46,560 Speaker 1: listed as threatened while I was still on the job 253 00:15:46,640 --> 00:15:52,840 Speaker 1: of being a goat boy, and so I struck me, well, wait, 254 00:15:53,000 --> 00:15:58,600 Speaker 1: use their public resources. And they're both committially inspiring in 255 00:15:58,680 --> 00:16:01,680 Speaker 1: their own way. I mean, we all know about grizzlies 256 00:16:01,840 --> 00:16:07,160 Speaker 1: and the emotions they evoke, but mountain goats kind of 257 00:16:07,200 --> 00:16:11,160 Speaker 1: sentinels of the high country and live in one of 258 00:16:11,160 --> 00:16:16,600 Speaker 1: the highest steepest niches ever invented for a warm blooded mammal. 259 00:16:16,680 --> 00:16:20,760 Speaker 1: And anyway, I just thought, this is silly to be 260 00:16:21,920 --> 00:16:25,240 Speaker 1: having the youth vanish at this rate. What can I do? 261 00:16:25,320 --> 00:16:29,640 Speaker 1: And so I did start writing for you know, popular 262 00:16:29,760 --> 00:16:34,400 Speaker 1: magazines looking to do how to affect public policy. I 263 00:16:34,440 --> 00:16:36,600 Speaker 1: don't clam to be any good at that. I just 264 00:16:36,680 --> 00:16:42,720 Speaker 1: got activated, So that took place early. And then I 265 00:16:42,760 --> 00:16:47,040 Speaker 1: did get lucky and latch onto a kind of a 266 00:16:47,040 --> 00:16:51,040 Speaker 1: career with National Geographic as an independent writer. But I 267 00:16:51,080 --> 00:16:54,680 Speaker 1: worked for him for many, many stories and books, and 268 00:16:55,360 --> 00:16:57,640 Speaker 1: that's got me sent out around the world. And it 269 00:16:58,240 --> 00:17:04,840 Speaker 1: turned out that everywhere I went us started looking better 270 00:17:04,880 --> 00:17:09,879 Speaker 1: and better. And I'm watching animals disappear around the globe, 271 00:17:09,880 --> 00:17:13,640 Speaker 1: and I'm talking about up to and including the giants 272 00:17:13,760 --> 00:17:18,080 Speaker 1: I work with, elephants, I work with great whales, and 273 00:17:18,280 --> 00:17:22,359 Speaker 1: or I should say I volunteered as a researcher when 274 00:17:22,440 --> 00:17:23,879 Speaker 1: I could, but a lot of time I was just 275 00:17:23,960 --> 00:17:27,960 Speaker 1: tagging along after the experts in the area where I 276 00:17:28,000 --> 00:17:30,919 Speaker 1: was trying to figure out what would work and what 277 00:17:30,960 --> 00:17:36,360 Speaker 1: wouldn't for conservation. So a lot of good, I'd say, 278 00:17:36,440 --> 00:17:40,639 Speaker 1: blind luck plus passion to be in wild places among 279 00:17:41,400 --> 00:17:48,800 Speaker 1: inspiring wildlife. Yeah, going to all those places dug in 280 00:17:49,280 --> 00:17:53,840 Speaker 1: and being with so many people working towards either researching 281 00:17:53,880 --> 00:17:57,720 Speaker 1: these wild animals or you know, actually working to protect 282 00:17:57,760 --> 00:17:59,800 Speaker 1: them in one way or another. You've seen all these 283 00:18:00,000 --> 00:18:03,240 Speaker 1: things firsthand, You've been with people working on these problems 284 00:18:03,240 --> 00:18:07,639 Speaker 1: and issues. Do you feel having that set of experiences 285 00:18:07,680 --> 00:18:09,760 Speaker 1: and being exposed to all of that all over the world, 286 00:18:10,000 --> 00:18:13,280 Speaker 1: both here at home and elsewhere. Has that made you 287 00:18:13,440 --> 00:18:19,320 Speaker 1: more worried about the situation at hand and disheartened? Or 288 00:18:20,040 --> 00:18:22,600 Speaker 1: or has that given you hope and confidence because you 289 00:18:22,640 --> 00:18:25,720 Speaker 1: see the good things being done? Where have you landed 290 00:18:26,000 --> 00:18:28,879 Speaker 1: after being exposed to the reality on the ground in 291 00:18:28,920 --> 00:18:34,840 Speaker 1: so many places? Okay? Can I tell one quick story? Yeah, yeah, 292 00:18:34,840 --> 00:18:41,120 Speaker 1: please do. I was working with people who were studying 293 00:18:41,240 --> 00:18:49,040 Speaker 1: the vocabulary, basically the songs, the vocal messages of humpback whales, 294 00:18:49,600 --> 00:18:54,480 Speaker 1: and we were allowed to swim with them by special 295 00:18:54,520 --> 00:18:58,560 Speaker 1: permission because there are protected species. But you know how 296 00:18:58,600 --> 00:19:02,639 Speaker 1: we all go out to have wildlife adventures, and the bigger, 297 00:19:02,720 --> 00:19:07,919 Speaker 1: the better the critter. And I remember a whale that 298 00:19:08,040 --> 00:19:11,320 Speaker 1: came over to me and I was, you know, really 299 00:19:12,280 --> 00:19:16,800 Speaker 1: steaming along, you know, full speed, headed straight for me. 300 00:19:17,080 --> 00:19:20,240 Speaker 1: This is a humpback and it and then it put 301 00:19:20,240 --> 00:19:23,639 Speaker 1: out these big fins it has called pectoral fins and 302 00:19:23,880 --> 00:19:27,320 Speaker 1: just acts as instant breaks and stopped about two feet 303 00:19:27,359 --> 00:19:32,280 Speaker 1: from my nose, and you know, I felt like, now, 304 00:19:32,320 --> 00:19:35,840 Speaker 1: this critter has a brain about three times my size, 305 00:19:36,720 --> 00:19:39,919 Speaker 1: and it lives as long or longer than team minutes, 306 00:19:40,080 --> 00:19:44,359 Speaker 1: and it sings the longest song in the world, and 307 00:19:45,520 --> 00:19:47,359 Speaker 1: it came over to see me. I felt like a 308 00:19:47,400 --> 00:19:50,560 Speaker 1: little bug that someone bent down to look at, you know, 309 00:19:50,680 --> 00:19:54,040 Speaker 1: And you can just imagine the presence of a thirty 310 00:19:54,080 --> 00:19:57,760 Speaker 1: five foot forty foot long animal being nose and nose 311 00:19:57,800 --> 00:20:01,960 Speaker 1: with an underwater and I mean, back up onto the boat. 312 00:20:03,280 --> 00:20:10,720 Speaker 1: My first thought was, damn, what now? What? How can 313 00:20:10,760 --> 00:20:14,080 Speaker 1: I ever get any better than this? You know, I'm 314 00:20:14,160 --> 00:20:20,400 Speaker 1: far venturing, but I guess I'm trying to lead into say, 315 00:20:20,480 --> 00:20:23,880 Speaker 1: working with elephants. I was. My first introduction to them 316 00:20:23,960 --> 00:20:31,840 Speaker 1: was during the late nineteen seventies early eighties, and they 317 00:20:31,840 --> 00:20:36,520 Speaker 1: were all being slaughtered void, just at a mass level 318 00:20:38,000 --> 00:20:40,400 Speaker 1: for their ivory, which at the time was worth more 319 00:20:40,440 --> 00:20:43,119 Speaker 1: than the third tusks had been made of solid silver. 320 00:20:44,160 --> 00:20:47,240 Speaker 1: So you can't stop a market like that in countries 321 00:20:47,280 --> 00:20:50,960 Speaker 1: with very little law enforcement and corrupt governments. And I'm 322 00:20:51,000 --> 00:20:55,720 Speaker 1: just walking from dead elephant to dead elephants. So I 323 00:20:55,800 --> 00:21:01,240 Speaker 1: guess I'm working my way towards saying that the activism 324 00:21:01,680 --> 00:21:07,440 Speaker 1: part the passion to God, Chadwick gets smarter, do something, 325 00:21:07,520 --> 00:21:14,440 Speaker 1: figure out something to help here, and if you're talking 326 00:21:14,440 --> 00:21:17,480 Speaker 1: about authors, you're talking about whole landscapes it takes to 327 00:21:17,560 --> 00:21:20,720 Speaker 1: support them, and also the welfare of the people that 328 00:21:20,840 --> 00:21:24,680 Speaker 1: live there, and the economics of tourism and all kinds 329 00:21:24,720 --> 00:21:29,560 Speaker 1: of things that some countries rely on. So if I'm 330 00:21:29,560 --> 00:21:34,840 Speaker 1: looking at let's say tropical for us, and I'm watching them, 331 00:21:34,840 --> 00:21:38,160 Speaker 1: I've been in the Amazon on the Congo and watch 332 00:21:38,240 --> 00:21:42,400 Speaker 1: the forest, you know, being transformed into palm oil plantations 333 00:21:42,400 --> 00:21:44,960 Speaker 1: and that sort of thing. I don't go there looking 334 00:21:45,000 --> 00:21:49,199 Speaker 1: for problems. I don't go there all fired up and 335 00:21:49,359 --> 00:21:52,520 Speaker 1: I'm going to go out and be an environmental activist 336 00:21:52,600 --> 00:21:55,159 Speaker 1: frame of mind. I just go to learn about the 337 00:21:55,200 --> 00:22:02,359 Speaker 1: animals and what I see keeps do keep me what 338 00:22:03,280 --> 00:22:09,199 Speaker 1: motivated to to figure this out? What groups? Okay, so 339 00:22:09,320 --> 00:22:12,439 Speaker 1: that's the bad part. I mean, there are eight billion 340 00:22:12,480 --> 00:22:14,520 Speaker 1: people in the world. It's not real apparent when you 341 00:22:14,640 --> 00:22:19,440 Speaker 1: live in the mountains of Montana, but that's almost three 342 00:22:19,480 --> 00:22:24,280 Speaker 1: times as many as we're around on this planet. When 343 00:22:24,920 --> 00:22:31,359 Speaker 1: I was learning how to do biology and conservation and cool. Right, 344 00:22:31,400 --> 00:22:33,520 Speaker 1: it's a whole new ball game, and I don't think 345 00:22:33,560 --> 00:22:35,520 Speaker 1: most people are at the speed on it unless they 346 00:22:35,560 --> 00:22:39,400 Speaker 1: travel a lot. In parts of Asia, and Africa where 347 00:22:39,920 --> 00:22:43,560 Speaker 1: the animals are simply running out of room, especially big animals. 348 00:22:44,560 --> 00:22:48,800 Speaker 1: And I guess I could put it this way. If 349 00:22:48,840 --> 00:22:53,160 Speaker 1: you take the living weight of all the land dwelling 350 00:22:53,240 --> 00:23:00,800 Speaker 1: mammals on the planet, about oh twenty two three percent 351 00:23:00,880 --> 00:23:08,320 Speaker 1: of that is humans all but a little slice of 352 00:23:08,359 --> 00:23:16,360 Speaker 1: the remaining percentage is our livestock. It's like seventy six 353 00:23:16,440 --> 00:23:20,920 Speaker 1: percent and or seventy three percent, I don't know, somewhere 354 00:23:20,960 --> 00:23:25,159 Speaker 1: in there. And there's a little little slice of the 355 00:23:25,200 --> 00:23:29,320 Speaker 1: pie left that is four percent. And that's all the 356 00:23:29,359 --> 00:23:37,520 Speaker 1: wild animals that remain on Earth today. Okay, all the while, 357 00:23:38,359 --> 00:23:42,840 Speaker 1: I'm sorry, well I'm talking about mammals, but what you know, 358 00:23:44,000 --> 00:23:46,840 Speaker 1: I gotta get my terms right. But that's all. That's it. 359 00:23:48,440 --> 00:23:54,600 Speaker 1: And so you know, people try to compromise, and the 360 00:23:54,720 --> 00:23:59,360 Speaker 1: compromise is lung has been made in my experience. And 361 00:24:00,400 --> 00:24:04,760 Speaker 1: so even as I get more motivated to try to 362 00:24:04,800 --> 00:24:08,080 Speaker 1: do something, and you know, I have been yeah, near 363 00:24:08,160 --> 00:24:14,280 Speaker 1: to despair, outright despair in some places, just people everywhere 364 00:24:14,359 --> 00:24:17,159 Speaker 1: doing everything and the animals losing and losing and losing. 365 00:24:17,240 --> 00:24:20,320 Speaker 1: But the other motivation is to go out and find 366 00:24:20,400 --> 00:24:26,000 Speaker 1: projects and programs that are working and I'm especially intrigued 367 00:24:26,040 --> 00:24:29,840 Speaker 1: by ones that. Again, I'm a biologist. I love working 368 00:24:29,880 --> 00:24:32,360 Speaker 1: with animals. I didn't plan to work with people. But 369 00:24:33,359 --> 00:24:38,520 Speaker 1: now it's really key to go out and find communities 370 00:24:38,560 --> 00:24:43,520 Speaker 1: that are working together to keep the health of the 371 00:24:43,640 --> 00:24:48,879 Speaker 1: land and the wildlife communities that they all share, and 372 00:24:49,040 --> 00:24:52,439 Speaker 1: that means protecting their water and the quality of their 373 00:24:52,520 --> 00:24:58,760 Speaker 1: land and for grazing or whatever it is, what's working, 374 00:24:59,400 --> 00:25:01,200 Speaker 1: that's what peop I want to know. It's I mean, 375 00:25:01,680 --> 00:25:06,399 Speaker 1: environmentalists and pretty good at alarming people and coming up 376 00:25:06,440 --> 00:25:07,960 Speaker 1: with some pretty hard you know, you go to a 377 00:25:08,040 --> 00:25:11,320 Speaker 1: party and pig and hold people and say, here's another 378 00:25:11,480 --> 00:25:15,720 Speaker 1: terrible thing you might not know about. Sound fun, here's 379 00:25:15,760 --> 00:25:19,760 Speaker 1: another awful statistic. But I want to be able to say, look, 380 00:25:19,880 --> 00:25:23,880 Speaker 1: here's a program where the people are doing better. They're 381 00:25:23,920 --> 00:25:29,840 Speaker 1: getting you know, more stable environment for their other activities. 382 00:25:29,880 --> 00:25:33,000 Speaker 1: They're getting water that's healthier for their children to drink, 383 00:25:33,760 --> 00:25:36,439 Speaker 1: Disease is going down. They've got more money from some 384 00:25:36,480 --> 00:25:43,879 Speaker 1: tourism for health of children and women and the community 385 00:25:43,960 --> 00:25:48,800 Speaker 1: as a whole. And they're doing this for their own reasons, 386 00:25:48,840 --> 00:25:51,440 Speaker 1: not because people are coming from the outside from some 387 00:25:51,560 --> 00:25:55,400 Speaker 1: rich country and saying here's we're here to help, right. 388 00:25:56,160 --> 00:26:03,280 Speaker 1: So I'm actually on the foundation. It's an international foundation 389 00:26:03,359 --> 00:26:07,080 Speaker 1: that supports community based conservation all around the world. From 390 00:26:08,080 --> 00:26:13,600 Speaker 1: I was just reviewing plans in Laos in Argentina, you 391 00:26:13,680 --> 00:26:17,760 Speaker 1: get the idea and these are these are programs that 392 00:26:17,840 --> 00:26:23,200 Speaker 1: are working. And so you combine more scientific information about animals, 393 00:26:24,560 --> 00:26:28,600 Speaker 1: and boy has that changed in those that period I 394 00:26:28,680 --> 00:26:32,320 Speaker 1: mentioned since I was in school. We know cons more 395 00:26:32,359 --> 00:26:37,440 Speaker 1: about their behavior, their genetics, and their physiological needs. And 396 00:26:38,480 --> 00:26:41,280 Speaker 1: we also know a whole lot more about the need 397 00:26:41,359 --> 00:26:45,320 Speaker 1: to work with the people that live on the land 398 00:26:45,760 --> 00:26:50,200 Speaker 1: and not and get away from that old idea more 399 00:26:50,240 --> 00:26:53,640 Speaker 1: than a century old now of we protect animals by 400 00:26:53,840 --> 00:26:59,680 Speaker 1: declaring an exclusive reserve and sensing everybody out and or 401 00:27:00,160 --> 00:27:04,119 Speaker 1: limiting an access and and then one of the people 402 00:27:04,119 --> 00:27:07,639 Speaker 1: who have relied on that part of Asia and that 403 00:27:07,720 --> 00:27:09,840 Speaker 1: part of Africa, or that part of the US for 404 00:27:09,960 --> 00:27:13,720 Speaker 1: that matter, where are they supposed to do? So communities 405 00:27:13,760 --> 00:27:19,400 Speaker 1: working together, that's that's a big part of the agenda 406 00:27:19,520 --> 00:27:23,159 Speaker 1: for me now is to explain that to people's working 407 00:27:23,200 --> 00:27:26,160 Speaker 1: on a larger and more connected scale. And we're used 408 00:27:26,200 --> 00:27:30,840 Speaker 1: to working on with the old model of conservation. But 409 00:27:32,040 --> 00:27:35,520 Speaker 1: I think a good point to several projects that do 410 00:27:35,680 --> 00:27:37,879 Speaker 1: work like that, and I did put some in a 411 00:27:37,960 --> 00:27:42,800 Speaker 1: reacent book. Um, I'll leave it at that. That's a 412 00:27:42,840 --> 00:27:46,119 Speaker 1: pretty long answer already. Know you touched on some you 413 00:27:46,200 --> 00:27:49,679 Speaker 1: touched on some great things there. And you know, I 414 00:27:49,720 --> 00:27:54,480 Speaker 1: think one of the one of the things that you 415 00:27:54,520 --> 00:27:57,320 Speaker 1: do really well in that book you just mentioned is 416 00:27:57,440 --> 00:28:01,960 Speaker 1: you help reframe how we look at these others, these 417 00:28:01,960 --> 00:28:06,800 Speaker 1: other species, these other parts of the um natural world. 418 00:28:07,280 --> 00:28:10,760 Speaker 1: And and you titled the book around this idea. You 419 00:28:11,119 --> 00:28:13,800 Speaker 1: lad the book with this idea, and I think it's 420 00:28:15,119 --> 00:28:18,800 Speaker 1: I get why you see it as being foundational to 421 00:28:18,960 --> 00:28:24,399 Speaker 1: helping us think about how we, you know, live alongside 422 00:28:24,400 --> 00:28:26,280 Speaker 1: of these other animals. And this this idea of being 423 00:28:26,320 --> 00:28:31,840 Speaker 1: that that the old narrative of us being apart from nature, 424 00:28:32,200 --> 00:28:36,240 Speaker 1: or that nature and us are two separate things. You 425 00:28:36,680 --> 00:28:39,640 Speaker 1: seem to want to turn that on its head and say, no, 426 00:28:40,120 --> 00:28:43,640 Speaker 1: not so much. We're all in this together. We are 427 00:28:43,680 --> 00:28:46,880 Speaker 1: actually four fifths so grizzly. Um, can you can you 428 00:28:47,520 --> 00:28:50,440 Speaker 1: can you give us a quick cliff notes into what 429 00:28:50,520 --> 00:28:54,280 Speaker 1: you mean by that and why you think that kind 430 00:28:54,280 --> 00:28:57,960 Speaker 1: of reshifting our perspective on a relationship with a natural 431 00:28:57,960 --> 00:29:04,000 Speaker 1: world matters so much. Sure, well, you know I was 432 00:29:04,120 --> 00:29:10,040 Speaker 1: raved pretty normal childhood, I guess, And I think we 433 00:29:10,200 --> 00:29:17,280 Speaker 1: all kind of come away into our older years or 434 00:29:17,520 --> 00:29:21,280 Speaker 1: the years we start questioning things. We don't really question 435 00:29:21,920 --> 00:29:25,840 Speaker 1: the idea that we are kind of a supreme species 436 00:29:26,040 --> 00:29:31,800 Speaker 1: and we're either independent of nature or somehow liberated from it, 437 00:29:33,480 --> 00:29:39,959 Speaker 1: separate from it in quality. We have the biggest brain 438 00:29:40,280 --> 00:29:46,200 Speaker 1: for body weight, and you know a lot of rationales 439 00:29:46,320 --> 00:29:50,240 Speaker 1: for doing what we've always done with resources, which has 440 00:29:50,320 --> 00:29:53,440 Speaker 1: claim as much as we want, wherever we want, for 441 00:29:53,480 --> 00:29:57,760 Speaker 1: as long as we want, and then paid off pretty well. Right, 442 00:29:57,920 --> 00:29:59,840 Speaker 1: Like I said, there are eight billion of us now, 443 00:30:00,120 --> 00:30:03,600 Speaker 1: the only other species that have a growth curve like 444 00:30:03,640 --> 00:30:10,240 Speaker 1: the human population or bacteria. But again, now we're in 445 00:30:10,240 --> 00:30:15,040 Speaker 1: a situation very well no other mammal has been in 446 00:30:16,120 --> 00:30:21,680 Speaker 1: and you know we're changing those the atmosphere, those you know, 447 00:30:21,760 --> 00:30:28,760 Speaker 1: the water, the land structure, the patterns of habitat, at everything, 448 00:30:30,000 --> 00:30:35,480 Speaker 1: and so yeah, I think a new view of conservations 449 00:30:35,520 --> 00:30:39,240 Speaker 1: in order, and that's going to start with I don't 450 00:30:39,280 --> 00:30:40,960 Speaker 1: think we'll put it this way. I don't think we're 451 00:30:40,960 --> 00:30:43,360 Speaker 1: going to save nature as long as we don't see 452 00:30:43,400 --> 00:30:48,680 Speaker 1: clearly our relationship with nature, and the reason we're at 453 00:30:48,840 --> 00:30:51,520 Speaker 1: least four fifths of grizzly is that we there are 454 00:30:51,560 --> 00:30:55,320 Speaker 1: about six thousand and four hundred species of mammals on 455 00:30:55,480 --> 00:31:00,520 Speaker 1: planet us, and you know, never mind, there are four 456 00:31:00,600 --> 00:31:06,400 Speaker 1: hundred thousand species of beetles identified and they're probably a 457 00:31:06,440 --> 00:31:11,120 Speaker 1: million out there, but we focus on the big charismatic critters. 458 00:31:11,120 --> 00:31:16,520 Speaker 1: That's natural. And we share eighty to ninety percent of 459 00:31:16,520 --> 00:31:20,440 Speaker 1: our genes with every mammal out there, and it goes 460 00:31:20,520 --> 00:31:24,400 Speaker 1: up to ninety eight percent with the great with chimpanzee's 461 00:31:24,480 --> 00:31:29,200 Speaker 1: and behind nineties with other great eggs. So you know, 462 00:31:29,240 --> 00:31:34,200 Speaker 1: we are built from the same genes and they, and 463 00:31:34,720 --> 00:31:37,440 Speaker 1: what we're discovering is a lot about how much we 464 00:31:37,480 --> 00:31:43,480 Speaker 1: share in terms of behavior, of emotions, of other qualities 465 00:31:44,360 --> 00:31:47,720 Speaker 1: built by those genes. And one of the most common 466 00:31:48,320 --> 00:31:51,719 Speaker 1: phrases I see as I look through research papers on 467 00:31:51,880 --> 00:31:58,240 Speaker 1: animal behavior is the comment a trait formerly thought to 468 00:31:58,640 --> 00:32:03,440 Speaker 1: be exclusive to human? Why was it formerly thought to 469 00:32:03,600 --> 00:32:07,200 Speaker 1: be exclusive to humans? Because it sort of suited our 470 00:32:08,120 --> 00:32:13,800 Speaker 1: the story we tell ourselves. And the other thing about 471 00:32:14,760 --> 00:32:19,600 Speaker 1: being part of nature is that and this, you know, 472 00:32:19,640 --> 00:32:24,320 Speaker 1: this gets into the geeky part. But you know, we 473 00:32:24,440 --> 00:32:28,160 Speaker 1: have up three thirty trillion human cells in our bodies, 474 00:32:28,880 --> 00:32:34,720 Speaker 1: and we have more single celled creatures living within and 475 00:32:34,920 --> 00:32:38,960 Speaker 1: hon us than that, and they are doing our digesting 476 00:32:39,120 --> 00:32:42,160 Speaker 1: for us, just like they would in the room and 477 00:32:42,240 --> 00:32:45,960 Speaker 1: of a white tailed deer can't live without it. They 478 00:32:46,040 --> 00:32:49,880 Speaker 1: produced satty acids and vitamins we can't make ourselves. They 479 00:32:49,960 --> 00:32:58,240 Speaker 1: keep us going, and they're fighting off other possible infections, 480 00:32:58,320 --> 00:33:04,959 Speaker 1: other single celled triggers and their effect. They're producing hormones 481 00:33:05,000 --> 00:33:08,840 Speaker 1: that are very much like dopamine and serotonin and other 482 00:33:08,920 --> 00:33:12,960 Speaker 1: things that influence our mood and our thoughts and our actions. 483 00:33:13,000 --> 00:33:18,520 Speaker 1: So we're actually a compound creature, you know, we're like 484 00:33:19,200 --> 00:33:22,280 Speaker 1: resemble a liking, which is, you know, an algae plus 485 00:33:22,360 --> 00:33:24,720 Speaker 1: a couple of different kinds of fungus plus a bunch 486 00:33:24,760 --> 00:33:29,760 Speaker 1: of bacteria. We call it a plant. And I would 487 00:33:29,840 --> 00:33:33,800 Speaker 1: challenge anyone listening to go find an animal larger than 488 00:33:33,880 --> 00:33:38,640 Speaker 1: bacteria or a similar group called their KaiA that is 489 00:33:38,760 --> 00:33:44,800 Speaker 1: actually an independent creature. There doesn't seem to be any 490 00:33:44,800 --> 00:33:53,080 Speaker 1: such thing. So we're combinations, partnerships, collaborations where we joint ventures. 491 00:33:53,720 --> 00:33:56,960 Speaker 1: That's what we are. And you know, you can't be 492 00:33:57,040 --> 00:33:59,600 Speaker 1: apart from nature, And no matter how badly you want 493 00:33:59,600 --> 00:34:03,400 Speaker 1: it to be so, um, that doesn't oblige you to 494 00:34:03,440 --> 00:34:06,400 Speaker 1: go out and start dragging subarus and holding up signs 495 00:34:06,400 --> 00:34:11,040 Speaker 1: of protests. That means, here, we're not who we think 496 00:34:11,120 --> 00:34:13,839 Speaker 1: we are. Our nature doesn't work why we like to 497 00:34:13,880 --> 00:34:18,920 Speaker 1: think it works. And and genetically we've got ken all 498 00:34:18,960 --> 00:34:22,880 Speaker 1: over the world. Um, And the last thing I'll add is, 499 00:34:22,920 --> 00:34:28,640 Speaker 1: I'm look, we're also fifty to sixty percent genetically identical 500 00:34:28,760 --> 00:34:33,000 Speaker 1: to fish, and we share thirty to forty percent even 501 00:34:33,000 --> 00:34:40,160 Speaker 1: with some insects and uh with a wine grape. Um, 502 00:34:40,840 --> 00:34:43,319 Speaker 1: maybe maybe a little more in that some nights, you 503 00:34:43,360 --> 00:34:49,840 Speaker 1: know the company, right, yeah, um, so yeah, I wonder 504 00:34:50,000 --> 00:34:53,200 Speaker 1: that's why I wrote four fifths of Grizzly was too. 505 00:34:53,920 --> 00:34:59,759 Speaker 1: I've been working with single species that represented whole ecosystems. 506 00:35:00,080 --> 00:35:05,239 Speaker 1: Grizzly bears. You're taking care of their needs for home, 507 00:35:05,360 --> 00:35:09,279 Speaker 1: range and habitat and quality of food. You're probably encompassing 508 00:35:09,320 --> 00:35:12,799 Speaker 1: everything from trout to trumpeter slans to lengths of wolverines 509 00:35:13,280 --> 00:35:19,279 Speaker 1: and help and deer, but um, you know whales. I 510 00:35:19,360 --> 00:35:23,480 Speaker 1: worked on grizzly bears in the Gobi Desert anyway, just 511 00:35:23,600 --> 00:35:25,759 Speaker 1: anyway I could come come at it, But it was 512 00:35:25,800 --> 00:35:30,320 Speaker 1: always single species. But if you're protecting them, you're protecting 513 00:35:32,120 --> 00:35:35,200 Speaker 1: a lot of biological diversity. You're protecting a lot of 514 00:35:35,360 --> 00:35:41,880 Speaker 1: nature of an ecosystem. And then I thought, well, I 515 00:35:41,880 --> 00:35:44,319 Speaker 1: haven't written a book like that. I'm still focused on 516 00:35:44,360 --> 00:35:48,759 Speaker 1: the individual species or special places that need more attention. 517 00:35:49,680 --> 00:35:51,480 Speaker 1: You know, as a writer, you're sort of an arm 518 00:35:51,560 --> 00:35:55,680 Speaker 1: waiver or a cheerleader for things people haven't been paying 519 00:35:55,719 --> 00:35:59,320 Speaker 1: attention to, and you're trying to trying to get their attention. 520 00:35:59,480 --> 00:36:02,319 Speaker 1: But I thought, no, we need to rethink a lot 521 00:36:02,360 --> 00:36:06,080 Speaker 1: of things again with the idea of that what your 522 00:36:06,160 --> 00:36:10,759 Speaker 1: saving nature mean? And first we have to, I think, 523 00:36:10,800 --> 00:36:16,760 Speaker 1: have a long and useful discussion about what is nature 524 00:36:16,800 --> 00:36:19,040 Speaker 1: and what's the nature in us and where do we 525 00:36:19,160 --> 00:36:37,840 Speaker 1: stand in relationship to it. I heard you mentioned on 526 00:36:38,000 --> 00:36:41,040 Speaker 1: another show at some point you said that people might say, oh, 527 00:36:41,080 --> 00:36:43,719 Speaker 1: you know, I'm not that into nature, but nature's into you. 528 00:36:44,719 --> 00:36:48,000 Speaker 1: I thought that was pretty that's pretty funny. I know 529 00:36:49,719 --> 00:36:54,680 Speaker 1: a lot of those in your audience we're all mediators, 530 00:36:54,840 --> 00:36:59,000 Speaker 1: and you know, I've never turned down a fresh medicine 531 00:36:59,040 --> 00:37:05,280 Speaker 1: of my life but while we're still kind of touching 532 00:37:05,360 --> 00:37:10,000 Speaker 1: on global situation, there's and I don't throw off statistics 533 00:37:10,040 --> 00:37:13,879 Speaker 1: again to be an alarmist or for rhetoric or slay 534 00:37:13,920 --> 00:37:17,560 Speaker 1: soone's opinion. It's just the facts based on a tremendous 535 00:37:17,640 --> 00:37:22,439 Speaker 1: number of studies. And that's that about sixty percent of 536 00:37:22,480 --> 00:37:27,560 Speaker 1: all the herbivores or the hooft mammals mostly greater than 537 00:37:27,560 --> 00:37:34,840 Speaker 1: two hundred pounds are imperiled species these days, and about 538 00:37:34,880 --> 00:37:41,200 Speaker 1: sixty per of all carnivores that's all non human meat eaters, right, 539 00:37:42,560 --> 00:37:46,080 Speaker 1: greater than about thirty three pounds are also on the 540 00:37:46,200 --> 00:37:52,480 Speaker 1: rare threatened or endangered species lists. So it is it's 541 00:37:52,480 --> 00:37:56,200 Speaker 1: a different world out there than the bubble I live 542 00:37:56,239 --> 00:38:00,200 Speaker 1: in in Montana, where we've still got a pretty hack 543 00:38:00,280 --> 00:38:05,959 Speaker 1: wildlife communities in pretty good shape. Yeah, So that that 544 00:38:05,960 --> 00:38:09,160 Speaker 1: that ties in really well to a story I wanted 545 00:38:09,160 --> 00:38:15,560 Speaker 1: to tell you, Doug. I posted a photo on my 546 00:38:15,600 --> 00:38:20,120 Speaker 1: Instagram page a couple weeks ago of an excert of 547 00:38:20,160 --> 00:38:24,200 Speaker 1: your book. On page forty six. There's a like a 548 00:38:24,320 --> 00:38:27,600 Speaker 1: like an enlarged piece of text where you were talking 549 00:38:27,640 --> 00:38:31,240 Speaker 1: about kind of this very issue of the biodiversity crisis 550 00:38:31,239 --> 00:38:32,960 Speaker 1: in the in the quote here that I took a 551 00:38:32,960 --> 00:38:36,080 Speaker 1: photo of and that I shared was this as the 552 00:38:36,200 --> 00:38:38,920 Speaker 1: number of people was roughly doubling in the forty two 553 00:38:39,000 --> 00:38:43,280 Speaker 1: years between nineteen seventy in twenty twelve, the total population 554 00:38:43,400 --> 00:38:47,160 Speaker 1: count of the planet's wild animals fell by more than 555 00:38:47,320 --> 00:38:51,880 Speaker 1: half yea. So I posted that picture and I didn't 556 00:38:51,880 --> 00:38:54,359 Speaker 1: really add any context. I just said, for your consideration, 557 00:38:54,520 --> 00:38:57,600 Speaker 1: was my caption and put it out there, and it 558 00:38:58,000 --> 00:39:01,960 Speaker 1: generated all sorts of questions. There was outrage at like disbelief, 559 00:39:02,000 --> 00:39:04,239 Speaker 1: like there's no way this could be possible, there's no 560 00:39:04,239 --> 00:39:07,040 Speaker 1: way anyone could have that kind of data, or that 561 00:39:07,160 --> 00:39:10,680 Speaker 1: there's no way anyone could actually measure this. There were 562 00:39:11,040 --> 00:39:16,279 Speaker 1: some people just very despairing of that. There were some 563 00:39:16,360 --> 00:39:19,319 Speaker 1: folks who had genuine questions about how do we how 564 00:39:19,320 --> 00:39:20,719 Speaker 1: do we know this, how do we come to these 565 00:39:20,800 --> 00:39:23,919 Speaker 1: kinds of conclusions, what can we do about it? There 566 00:39:23,920 --> 00:39:27,520 Speaker 1: were some folks who said, you know, there are folks 567 00:39:27,560 --> 00:39:29,279 Speaker 1: who start to point fingers. It's because of this, it's 568 00:39:29,320 --> 00:39:31,959 Speaker 1: because of this, because of this. It generated a really 569 00:39:31,960 --> 00:39:35,440 Speaker 1: interesting beginning of a conversation that sent me then down 570 00:39:35,520 --> 00:39:40,600 Speaker 1: a wormhole to try to answer or at least provide 571 00:39:40,600 --> 00:39:43,360 Speaker 1: a little more context. So I ended up recording and 572 00:39:43,520 --> 00:39:47,439 Speaker 1: sharing a fifteen minute video explaining I dove deep into 573 00:39:47,480 --> 00:39:49,640 Speaker 1: where that number came from. I did research on trying 574 00:39:49,680 --> 00:39:52,799 Speaker 1: to understand the Living Planet Report from the World Wildlife Fund, 575 00:39:52,800 --> 00:39:55,480 Speaker 1: and I read up on how the Living Planet Index 576 00:39:55,760 --> 00:39:59,959 Speaker 1: is compiled and shared all that and discuss some different 577 00:40:00,120 --> 00:40:03,759 Speaker 1: things around what we're seeing as far as the larger wildlife, 578 00:40:04,239 --> 00:40:07,759 Speaker 1: these larger wildlife trends. So it was a great kind 579 00:40:07,800 --> 00:40:13,239 Speaker 1: of exercise for me to have to think about think 580 00:40:13,239 --> 00:40:20,840 Speaker 1: about what these statistics, like these kind of negative, depressing 581 00:40:21,000 --> 00:40:25,080 Speaker 1: I guess metrics in the world right now, what those 582 00:40:25,120 --> 00:40:27,520 Speaker 1: things mean, How we can do something with that data. 583 00:40:27,560 --> 00:40:29,319 Speaker 1: Because it's one thing to just say it, like you said, 584 00:40:29,360 --> 00:40:33,399 Speaker 1: like you can say this depressing, sad number that does 585 00:40:33,560 --> 00:40:36,399 Speaker 1: point to a fact and point to reality, But how 586 00:40:36,440 --> 00:40:38,239 Speaker 1: do we understand what that actually looks like? How do 587 00:40:38,280 --> 00:40:39,680 Speaker 1: we get to these numbers and what do we do 588 00:40:39,719 --> 00:40:41,920 Speaker 1: about it? So this is a long winded way, Doug, 589 00:40:41,960 --> 00:40:47,520 Speaker 1: of asking you to tell me this that quote that 590 00:40:47,560 --> 00:40:51,879 Speaker 1: I just shared with you, this idea of this biodiversity crisis, 591 00:40:51,600 --> 00:40:54,760 Speaker 1: this idea that folks are saying that we are moving 592 00:40:54,760 --> 00:40:58,960 Speaker 1: towards a sixth mass extinction event. As someone who's been 593 00:40:58,960 --> 00:41:01,960 Speaker 1: out there on the ground talking to the folks researching 594 00:41:01,960 --> 00:41:04,319 Speaker 1: these things, studying these things, and you've seen some of 595 00:41:04,320 --> 00:41:08,440 Speaker 1: a much of it of yourself. Does this ring true 596 00:41:09,120 --> 00:41:19,600 Speaker 1: or is it hyperbolic and it's alarmist? It's true? Um. Again, 597 00:41:20,840 --> 00:41:26,920 Speaker 1: if I'm if I'm in Missouri, or I'm in California, 598 00:41:27,160 --> 00:41:31,880 Speaker 1: if I'm in Montana, especially if I'm in Montana, I'm Alaska, 599 00:41:32,000 --> 00:41:35,560 Speaker 1: and I'd read that statistic and I go, what what 600 00:41:35,560 --> 00:41:37,680 Speaker 1: What in the world are they talk about? This is 601 00:41:37,760 --> 00:41:44,439 Speaker 1: more rhetoric, you know, propaganda from the Greenies. Um. But 602 00:41:45,040 --> 00:41:47,960 Speaker 1: when I'm in Asia and walking through a jungle and 603 00:41:48,000 --> 00:41:53,360 Speaker 1: there's a snare, you know, every hundred feet and the 604 00:41:53,520 --> 00:41:59,120 Speaker 1: jungle is lush and intact, but it's empty of big critters, um. 605 00:41:59,280 --> 00:42:04,640 Speaker 1: If all too clear. And when I'm in situations where 606 00:42:04,920 --> 00:42:07,880 Speaker 1: I'm carrying a gun in Africa because of the threat 607 00:42:07,960 --> 00:42:15,280 Speaker 1: of poachers, because I'm with park rangers and we're coming 608 00:42:15,400 --> 00:42:18,600 Speaker 1: upon you know, freshly killed carcasses all over the place, 609 00:42:19,360 --> 00:42:27,160 Speaker 1: It's it's very real. And I I I did read 610 00:42:27,200 --> 00:42:30,160 Speaker 1: the same report you did carefully, and I would say 611 00:42:30,200 --> 00:42:36,799 Speaker 1: it was a Worldwhilife Fund planetary evaluation. I think the 612 00:42:36,880 --> 00:42:41,000 Speaker 1: Solological Society of London and they it isn't like they 613 00:42:41,080 --> 00:42:44,799 Speaker 1: just went out and did their own surveys in a 614 00:42:44,840 --> 00:42:49,680 Speaker 1: few places. They wrote to everybody around the world and 615 00:42:49,800 --> 00:42:55,160 Speaker 1: got all the census stata they could and it's always imperfect, 616 00:42:55,200 --> 00:43:02,440 Speaker 1: but thousands of studies and put it together and actually 617 00:43:03,640 --> 00:43:06,480 Speaker 1: it came out a couple of years ago. I recently 618 00:43:06,560 --> 00:43:12,560 Speaker 1: saw the figure raised from almost fifty percent to you know, 619 00:43:12,680 --> 00:43:18,840 Speaker 1: sixty percent plus, and some have The hard part is, 620 00:43:19,760 --> 00:43:23,520 Speaker 1: you know who's who's out there counting salm every salamander 621 00:43:23,600 --> 00:43:27,399 Speaker 1: or wizard and that sort of thing. But you can 622 00:43:27,440 --> 00:43:33,200 Speaker 1: certainly take large sample areas and get those figures. And again, 623 00:43:33,239 --> 00:43:35,400 Speaker 1: depending on where you are, it makes sense to you 624 00:43:35,520 --> 00:43:40,279 Speaker 1: or it just sounds catastrophic. But worldwide, that's the situation. 625 00:43:40,360 --> 00:43:44,480 Speaker 1: The human footprint now lies across eighty three percent of 626 00:43:44,520 --> 00:43:49,359 Speaker 1: the land surface of the Earth. Those kind of how 627 00:43:49,520 --> 00:43:55,920 Speaker 1: long agen throwing out gloomy gloomy stats here. The prediction 628 00:43:56,120 --> 00:44:02,120 Speaker 1: is that the plastic in the seas, including all the 629 00:44:02,200 --> 00:44:06,560 Speaker 1: decayed plastic that becomes microplastics, gets into every living thing. 630 00:44:07,200 --> 00:44:10,200 Speaker 1: It will outweigh all the fish in the world's oceans 631 00:44:10,239 --> 00:44:15,400 Speaker 1: by two thousand and fifty. So it's really hard for 632 00:44:15,640 --> 00:44:20,640 Speaker 1: a single person living, you know, with in a you know, 633 00:44:20,680 --> 00:44:25,920 Speaker 1: a familiar home with comfortable routines and enjoys getting the outdoors. 634 00:44:26,000 --> 00:44:29,920 Speaker 1: And Um looks around and says, I don't see anything 635 00:44:30,000 --> 00:44:33,359 Speaker 1: much differ from day to day. But where are you 636 00:44:34,400 --> 00:44:38,320 Speaker 1: if you I'm not sure we're even built you see, 637 00:44:38,640 --> 00:44:45,400 Speaker 1: you know that far or on that scale, But whenever 638 00:44:45,520 --> 00:44:50,320 Speaker 1: you put it together globally, with eight billion plus people 639 00:44:50,320 --> 00:44:53,360 Speaker 1: on the planet in need of resources and with a 640 00:44:53,400 --> 00:44:56,800 Speaker 1: whole lot more technology to get those resources and change 641 00:44:57,960 --> 00:45:03,640 Speaker 1: environments to do it, I'm sorry. It's it's what's happening. 642 00:45:03,719 --> 00:45:07,160 Speaker 1: And that's why there was a recent meeting to take 643 00:45:07,239 --> 00:45:10,480 Speaker 1: on to try to get all nations to make a 644 00:45:10,520 --> 00:45:14,439 Speaker 1: commitment for reserving a certain percentage of biodiversity that they 645 00:45:14,880 --> 00:45:18,919 Speaker 1: have on their lands and in their waters, much as 646 00:45:19,080 --> 00:45:23,520 Speaker 1: was done with you know, the international meeting to take 647 00:45:23,600 --> 00:45:28,960 Speaker 1: on the climate crisis. So I know a lot of people, 648 00:45:31,200 --> 00:45:35,160 Speaker 1: you know, there's a feeling like you're almost inclined to 649 00:45:35,280 --> 00:45:39,359 Speaker 1: reject all this because it's just too much. You're used 650 00:45:39,360 --> 00:45:45,080 Speaker 1: to people overstating crises and you know, they'll be warnings 651 00:45:45,120 --> 00:45:48,279 Speaker 1: about some particular chemical and we're all going to die 652 00:45:49,120 --> 00:45:51,919 Speaker 1: and get deformed. And then you know, two months later 653 00:45:52,160 --> 00:45:56,360 Speaker 1: they say, oh no, we we we did some more experiments. 654 00:45:56,440 --> 00:45:59,320 Speaker 1: Turns out it's not a big deal. So it's easy 655 00:45:59,360 --> 00:46:03,360 Speaker 1: to put these things in that category. But the loss 656 00:46:03,520 --> 00:46:07,759 Speaker 1: of our fellow creakers is enormous, as unprecedented has been 657 00:46:07,760 --> 00:46:11,440 Speaker 1: seen since asteroid whack into the planet at the end 658 00:46:11,440 --> 00:46:15,279 Speaker 1: of the Age of dinosaurs. But it's slow mow enough 659 00:46:15,360 --> 00:46:18,919 Speaker 1: by our standards that we don't go running out into 660 00:46:18,960 --> 00:46:24,799 Speaker 1: the streets. And I wish it weren't true. Yeah, Yet 661 00:46:24,960 --> 00:46:28,319 Speaker 1: it is hard to face that. It's hard to accept that, 662 00:46:28,719 --> 00:46:35,040 Speaker 1: both because it seems it seems beyond possible, and it's 663 00:46:35,200 --> 00:46:38,240 Speaker 1: as you said, in many cases, it's it's hard to 664 00:46:38,400 --> 00:46:41,080 Speaker 1: see the actual shift happening right in front of your eyes, 665 00:46:41,960 --> 00:46:44,960 Speaker 1: especially if we're somewhere like in America, where we are 666 00:46:45,040 --> 00:46:48,720 Speaker 1: relatively at least compared to many other places in the world, 667 00:46:49,800 --> 00:46:53,360 Speaker 1: we still have, you know, relatively wild places. We still 668 00:46:53,400 --> 00:46:56,960 Speaker 1: have full suite of wildlife in some parts of the country. 669 00:46:57,000 --> 00:47:01,400 Speaker 1: We still have you know, well regulated wildlife management principles 670 00:47:01,480 --> 00:47:05,040 Speaker 1: in play too. To give us the resources and the 671 00:47:05,080 --> 00:47:07,040 Speaker 1: opportunities we have to see wild critters out there. But 672 00:47:07,160 --> 00:47:09,560 Speaker 1: that's not the case in a lot of places. But 673 00:47:09,640 --> 00:47:11,960 Speaker 1: I think, I think even in each of our own 674 00:47:12,000 --> 00:47:16,439 Speaker 1: individual lives, on a really micro scale, we can see 675 00:47:16,480 --> 00:47:18,400 Speaker 1: examples of this. I mean I can. I was just 676 00:47:18,440 --> 00:47:20,680 Speaker 1: telling my son. I've got a five year old son 677 00:47:21,520 --> 00:47:23,440 Speaker 1: who is at this phase in his life where he 678 00:47:23,560 --> 00:47:27,640 Speaker 1: is fascinated by any of dad's stories. He just wants 679 00:47:27,640 --> 00:47:31,720 Speaker 1: to hear stories about when I was on some hiking trip, 680 00:47:31,840 --> 00:47:34,120 Speaker 1: or the day I caught my biggest walleye, or that 681 00:47:34,200 --> 00:47:36,640 Speaker 1: time that Grandpa pretended to be a black bear and 682 00:47:36,719 --> 00:47:39,680 Speaker 1: scared my dad, or the time I caught my first snap, 683 00:47:39,760 --> 00:47:42,480 Speaker 1: like all those things. He just whenever we're driving, he's like, hey, 684 00:47:42,480 --> 00:47:44,000 Speaker 1: will you tell me a story. We tell me this 685 00:47:44,040 --> 00:47:47,399 Speaker 1: story of that thing, that thing. And the other day 686 00:47:47,400 --> 00:47:50,400 Speaker 1: he was asking me to tell him stories about catching 687 00:47:50,400 --> 00:47:53,200 Speaker 1: snapping turtles when I was a kid, and so I 688 00:47:53,239 --> 00:47:55,560 Speaker 1: told him about you know, every day during summer break, 689 00:47:55,560 --> 00:47:57,239 Speaker 1: I'd go out behind the house and there was this 690 00:47:57,320 --> 00:47:59,840 Speaker 1: swamp and this pine this pond right next door, and 691 00:48:00,200 --> 00:48:01,759 Speaker 1: every day in the summer, me and my next door 692 00:48:01,800 --> 00:48:03,919 Speaker 1: neighbor would go there, and we'd catch frogs all day, 693 00:48:04,200 --> 00:48:06,360 Speaker 1: and we would catch snapping turtles when they would actually 694 00:48:06,800 --> 00:48:09,799 Speaker 1: overnight be crawling across the road to get to another pond. 695 00:48:09,840 --> 00:48:11,879 Speaker 1: And we'd wake up in the morning and get out 696 00:48:11,880 --> 00:48:13,840 Speaker 1: and see these turtles crossing the road and we'd go 697 00:48:13,880 --> 00:48:16,120 Speaker 1: pick them up and take them back or take them across. 698 00:48:16,239 --> 00:48:18,560 Speaker 1: And that was how we would catch these huge snapping turtles. 699 00:48:18,560 --> 00:48:21,560 Speaker 1: They would always be crossing. And he said, Dad, let's 700 00:48:21,600 --> 00:48:23,560 Speaker 1: go there. Can you please take me to go see 701 00:48:23,600 --> 00:48:25,880 Speaker 1: this swamp and this pond and the snapping turtles. Can 702 00:48:25,880 --> 00:48:28,760 Speaker 1: we catch those snapping turtles? And I had to say, Buddy, 703 00:48:29,239 --> 00:48:34,520 Speaker 1: it's gone, that pond, that wood lot, it's it's houses now. 704 00:48:35,160 --> 00:48:38,439 Speaker 1: And I don't I don't think there's anyone listening today 705 00:48:38,640 --> 00:48:41,080 Speaker 1: who can't point to some example like that in their 706 00:48:41,120 --> 00:48:44,359 Speaker 1: life of some favorite fishing hole or a favorite wood lot, 707 00:48:44,520 --> 00:48:46,560 Speaker 1: or a field where they used to chase butterflies or 708 00:48:47,520 --> 00:48:52,040 Speaker 1: hunt for rabbits, or hike or bird watch or something. Well. 709 00:48:52,360 --> 00:48:58,040 Speaker 1: I live in mike Fish, growing rapidly if Ski town 710 00:48:58,239 --> 00:49:01,279 Speaker 1: and close to Glacier Park and a lot of tourism, 711 00:49:02,000 --> 00:49:04,759 Speaker 1: and during COVID, it seemed like everybody east of the 712 00:49:04,800 --> 00:49:09,680 Speaker 1: Mississippi decided to move here as well as California. But yeah, 713 00:49:09,719 --> 00:49:13,480 Speaker 1: I could tell you about and you know, my kids 714 00:49:13,560 --> 00:49:18,000 Speaker 1: know about canoeing the river that runs through town and 715 00:49:18,120 --> 00:49:22,600 Speaker 1: watching moose and and you know, we still have deer 716 00:49:22,640 --> 00:49:28,400 Speaker 1: in our yard, but a lot of yards i've also 717 00:49:28,440 --> 00:49:32,840 Speaker 1: seen him and around me are now hopes and the 718 00:49:32,920 --> 00:49:37,040 Speaker 1: moose are gone, and the wild turkeys are obvious frequents. 719 00:49:37,080 --> 00:49:39,479 Speaker 1: And you know, there's just a lot of people coming 720 00:49:39,520 --> 00:49:43,759 Speaker 1: in and they don't have you know, they don't have 721 00:49:43,880 --> 00:49:46,800 Speaker 1: bad intentions. They simply want to live in a nice place. 722 00:49:47,320 --> 00:49:50,120 Speaker 1: They actually love the outdoors. That's one reason they come. 723 00:49:51,040 --> 00:49:54,279 Speaker 1: But you know, they don't always come with a commitment 724 00:49:54,360 --> 00:50:00,160 Speaker 1: to try to find some way to make room for 725 00:50:00,239 --> 00:50:03,000 Speaker 1: these other creatures as well as for ourselves. It can 726 00:50:03,040 --> 00:50:05,200 Speaker 1: be done. I mean, there are plans and there are 727 00:50:05,320 --> 00:50:11,400 Speaker 1: models for for limiting the pace of habitat change. I 728 00:50:11,560 --> 00:50:17,319 Speaker 1: know you guys focus often on white tails, right, And um, 729 00:50:17,960 --> 00:50:22,000 Speaker 1: you're lucky because you're working with a speciesis doing very 730 00:50:22,040 --> 00:50:28,400 Speaker 1: well yea, and rapidly reproduces, and most of all, it 731 00:50:28,400 --> 00:50:32,960 Speaker 1: seems well adapted to disturbed habitats. So originally that help 732 00:50:33,000 --> 00:50:39,480 Speaker 1: fires and floods and and you know other other changes 733 00:50:39,600 --> 00:50:44,480 Speaker 1: from natural forces, but they do equally well or suburban areas. 734 00:50:44,719 --> 00:50:48,280 Speaker 1: I'm just telling your your audience things they know very well, 735 00:50:48,320 --> 00:50:52,439 Speaker 1: and so that's always heartening. I mean, I when I'm 736 00:50:52,440 --> 00:50:56,520 Speaker 1: out picking apples in my in my field, um, I've 737 00:50:56,600 --> 00:50:59,400 Speaker 1: usually got white tailed deer standing below the tree whining 738 00:50:59,520 --> 00:51:01,640 Speaker 1: for me. I was on kind of butterfingers and I 739 00:51:01,760 --> 00:51:05,880 Speaker 1: drop a few, and you know, I'll be up on 740 00:51:05,880 --> 00:51:07,960 Speaker 1: a ladder and I'll feel a ladder shake and say, 741 00:51:08,000 --> 00:51:15,000 Speaker 1: oh it's a deer, so um waiting. So you know, 742 00:51:15,280 --> 00:51:19,360 Speaker 1: it does give you a different view. But if you 743 00:51:19,480 --> 00:51:22,920 Speaker 1: are looking at other creatures and you're looking at you know, 744 00:51:22,920 --> 00:51:27,920 Speaker 1: there's been a catastrophic loss of insects in the order 745 00:51:27,960 --> 00:51:32,479 Speaker 1: of you know, two thirds to three quarters. And all 746 00:51:32,480 --> 00:51:35,520 Speaker 1: you have to do is occasionally checked the number of 747 00:51:35,520 --> 00:51:37,759 Speaker 1: bugs on your windshield this summer. It's not like I 748 00:51:37,920 --> 00:51:40,640 Speaker 1: used to be less place as well. You know, there 749 00:51:40,640 --> 00:51:45,200 Speaker 1: goes pollination, there go to wildflowers that m all. You know, 750 00:51:45,239 --> 00:51:49,560 Speaker 1: so much of our wildlife community eeks and who knows 751 00:51:49,640 --> 00:51:54,520 Speaker 1: what else. But it just it's well worth paying attention 752 00:51:54,640 --> 00:52:00,680 Speaker 1: to all the little things that run the world. If 753 00:52:00,719 --> 00:52:04,360 Speaker 1: you're taught to an insect person or a worm person, 754 00:52:04,600 --> 00:52:08,239 Speaker 1: or got to help you a microbe person. I mean 755 00:52:08,280 --> 00:52:12,920 Speaker 1: they say, look mammals or a side show in terms 756 00:52:12,960 --> 00:52:16,560 Speaker 1: of weight, in terms of numbers, and to begin with there, 757 00:52:16,719 --> 00:52:22,080 Speaker 1: they're they're kind of I don't know, um, a little 758 00:52:22,080 --> 00:52:27,120 Speaker 1: feeling somewhere in the food web, but um, they don't 759 00:52:27,320 --> 00:52:30,360 Speaker 1: the energy and the nutrients and the things that cycle 760 00:52:30,440 --> 00:52:33,919 Speaker 1: through an ecosystem to keep it healthy and to help 761 00:52:34,120 --> 00:52:37,360 Speaker 1: all the animals large and small survive over time and 762 00:52:37,480 --> 00:52:41,239 Speaker 1: the change of time brings um, most of them are 763 00:52:41,280 --> 00:52:47,600 Speaker 1: invisible or require some serious looking. Yeah, it's it's interesting 764 00:52:47,760 --> 00:52:50,600 Speaker 1: kind of speaking of some of those things. And pollinators 765 00:52:50,640 --> 00:52:53,680 Speaker 1: are another great example of this. There's you know, there's 766 00:52:54,000 --> 00:53:00,640 Speaker 1: there's one set of UM, I guess rationale for trying 767 00:53:00,640 --> 00:53:04,719 Speaker 1: to protect wildlife in biodiversity is like just like the 768 00:53:04,800 --> 00:53:07,440 Speaker 1: moral imperative of it or just the fact that we 769 00:53:08,160 --> 00:53:11,680 Speaker 1: as individuals find these animals fascinating and we want to 770 00:53:11,680 --> 00:53:14,359 Speaker 1: see them around or we feel some connection with them. 771 00:53:14,560 --> 00:53:16,440 Speaker 1: So there's that side of things. But then there's also 772 00:53:16,480 --> 00:53:20,359 Speaker 1: like the practical side of things, the practical argument of 773 00:53:20,440 --> 00:53:23,239 Speaker 1: the fact that you know, as you mentioned, with pollinators. 774 00:53:23,239 --> 00:53:27,240 Speaker 1: They provide ecosystem services is this term for what they 775 00:53:27,719 --> 00:53:33,840 Speaker 1: natural wildlife and wild places provide services. They do things, 776 00:53:34,080 --> 00:53:40,400 Speaker 1: they support, things that are foundational to human business, economy's life. 777 00:53:41,719 --> 00:53:45,120 Speaker 1: You said something in your book that I really liked you. 778 00:53:45,120 --> 00:53:49,400 Speaker 1: You proposed a new golden rule. You said, do unto 779 00:53:49,440 --> 00:53:53,360 Speaker 1: ecosystems as you would have them do unto you. And 780 00:53:54,360 --> 00:54:00,360 Speaker 1: right after saying that, you kind of I guess the 781 00:54:00,360 --> 00:54:02,719 Speaker 1: way I would you framed it. I guess I'm trying 782 00:54:02,719 --> 00:54:04,239 Speaker 1: to say, as you framed that, not as like a 783 00:54:04,360 --> 00:54:09,560 Speaker 1: high minded moral rule, but more as a practical survival strategy. 784 00:54:10,000 --> 00:54:12,480 Speaker 1: So do onto ecosystems as you would have them do 785 00:54:12,640 --> 00:54:15,600 Speaker 1: unto you. And that is a golden rule because it 786 00:54:15,800 --> 00:54:19,560 Speaker 1: is a necessary survival strategy. Can you can you expand 787 00:54:19,600 --> 00:54:22,799 Speaker 1: on that that you know what that means and what 788 00:54:22,840 --> 00:54:26,319 Speaker 1: you think about that. I'll start I'll start with the 789 00:54:26,400 --> 00:54:30,120 Speaker 1: full golden rule was do into ecosystems as you would 790 00:54:30,160 --> 00:54:37,400 Speaker 1: have them do unto you. Nurture, sustain, help, allow to flourish. 791 00:54:37,520 --> 00:54:42,160 Speaker 1: So our health is long term, is indistinguishable from the 792 00:54:42,200 --> 00:54:45,880 Speaker 1: health of the land, air, and water we we all 793 00:54:45,920 --> 00:54:51,799 Speaker 1: depend on. Right, And and you mentioned the some of 794 00:54:51,840 --> 00:54:55,960 Speaker 1: the the more obscure species, the ones we don't pay 795 00:54:56,000 --> 00:55:00,040 Speaker 1: a lot of attention to, but they're absolutely vital. And 796 00:55:01,239 --> 00:55:04,319 Speaker 1: I don't I don't you know, it sounds like you're 797 00:55:04,440 --> 00:55:07,200 Speaker 1: it's asking a lot of people. Um, you go out 798 00:55:07,239 --> 00:55:09,960 Speaker 1: and get to know all these varied life forms there are. 799 00:55:10,840 --> 00:55:13,600 Speaker 1: There are so many as too many and unless you 800 00:55:14,120 --> 00:55:18,359 Speaker 1: like a geek out on some of the things I do. Um, 801 00:55:18,480 --> 00:55:20,520 Speaker 1: I mean I say, I've worked with elephants of Wales, 802 00:55:20,680 --> 00:55:26,480 Speaker 1: also with ants and beetles and even talk toure geographic 803 00:55:26,560 --> 00:55:31,440 Speaker 1: in doing stories on them. And because they in Australia, 804 00:55:31,480 --> 00:55:34,080 Speaker 1: I've been in places where the ants control the whole forest, 805 00:55:34,160 --> 00:55:39,960 Speaker 1: cannopy and and any cree, kangaroos or koalas or whatever 806 00:55:40,000 --> 00:55:42,200 Speaker 1: else wants to live there has to deal with it 807 00:55:42,400 --> 00:55:46,960 Speaker 1: part of their their environment. But UM, I guess the 808 00:55:47,080 --> 00:55:51,640 Speaker 1: question we're I feel like we're coming to mark is 809 00:55:52,040 --> 00:55:59,240 Speaker 1: is you know when well, let's just go back in time. 810 00:55:59,320 --> 00:56:02,520 Speaker 1: And I know hunters are proud of the fact that 811 00:56:03,040 --> 00:56:07,640 Speaker 1: you know or see themselves as the original conservationists. And 812 00:56:10,000 --> 00:56:12,880 Speaker 1: granted it came about in an era when the national 813 00:56:12,880 --> 00:56:15,160 Speaker 1: philosophy seemed to be if it moves, shoot it and 814 00:56:15,200 --> 00:56:18,400 Speaker 1: if it doesn't, cut it down. But they were the 815 00:56:18,400 --> 00:56:24,880 Speaker 1: original conservationists and and continue to be so for a while, 816 00:56:25,080 --> 00:56:30,399 Speaker 1: and all credit goes to them and and some other 817 00:56:30,440 --> 00:56:34,680 Speaker 1: four sighted people that maybe looked at some of the 818 00:56:34,800 --> 00:56:40,640 Speaker 1: non hunter species, but it was huge. My question, I 819 00:56:40,680 --> 00:56:44,200 Speaker 1: think to you and some of the folks listening, is 820 00:56:45,160 --> 00:56:50,040 Speaker 1: who are the leading conservationists today or where do hunters 821 00:56:51,200 --> 00:56:56,560 Speaker 1: stand reside on that list? Are they still are they 822 00:56:56,600 --> 00:57:00,880 Speaker 1: still leading? Are they still, you know, by really important 823 00:57:00,920 --> 00:57:07,280 Speaker 1: to the conservation work that remains to be done, and 824 00:57:09,160 --> 00:57:12,880 Speaker 1: what do we do with that? Yeah? Yeah, And I 825 00:57:12,920 --> 00:57:17,840 Speaker 1: think the answer is from my perspective that there are 826 00:57:17,880 --> 00:57:21,000 Speaker 1: a lot of hunters and anglers who do care deeply 827 00:57:21,040 --> 00:57:23,240 Speaker 1: about these things and who are leading, but there's so 828 00:57:23,360 --> 00:57:26,240 Speaker 1: much more that needs to be done. There's there's so 829 00:57:26,320 --> 00:57:29,960 Speaker 1: much more, and I think that there's there's so much 830 00:57:30,120 --> 00:57:37,000 Speaker 1: more potential good we could do if the hunters and 831 00:57:37,040 --> 00:57:39,600 Speaker 1: anglers working on these kinds of things are not working 832 00:57:39,600 --> 00:57:42,600 Speaker 1: on these kinds of things in isolation, but are working 833 00:57:42,600 --> 00:57:45,600 Speaker 1: with them hand in hand with the non hunters and 834 00:57:45,640 --> 00:57:47,840 Speaker 1: anglers who care about these things and are leading and 835 00:57:47,920 --> 00:57:53,080 Speaker 1: doing great work for conservation. So I one of my 836 00:57:54,200 --> 00:57:57,280 Speaker 1: big hopes and dreams to the futures seeing these two 837 00:57:57,320 --> 00:58:01,520 Speaker 1: communities working more and more together, because it's a big 838 00:58:01,640 --> 00:58:04,480 Speaker 1: number of folks. It's a it's a serious constituency of 839 00:58:04,520 --> 00:58:07,920 Speaker 1: people and of voters. If you combine those two groups 840 00:58:07,920 --> 00:58:11,400 Speaker 1: of people, if you combine animal lovers and outdoor recreators, 841 00:58:11,480 --> 00:58:14,600 Speaker 1: skiers and hikers and bikers and all those folks with 842 00:58:14,920 --> 00:58:17,160 Speaker 1: all of the tens of millions of hunters and anglers, 843 00:58:17,160 --> 00:58:19,800 Speaker 1: all these people that love nature, all these people who 844 00:58:19,800 --> 00:58:24,480 Speaker 1: appreciate wildlife and fish and open space. And yeah, we 845 00:58:24,560 --> 00:58:26,360 Speaker 1: might engage with it in different ways. We might live 846 00:58:26,360 --> 00:58:28,000 Speaker 1: in the city, or we might live in the mountains 847 00:58:28,240 --> 00:58:31,480 Speaker 1: or in a farm. But I feel like there's so 848 00:58:31,560 --> 00:58:34,560 Speaker 1: much we could do if we could get better at 849 00:58:34,600 --> 00:58:39,400 Speaker 1: looking past those differences and instead kind of compound our 850 00:58:39,400 --> 00:58:43,080 Speaker 1: powers together to tackle stuff like what we're talking about today. 851 00:58:43,960 --> 00:58:46,600 Speaker 1: Couldn't agree more. And I know here in Montana the 852 00:58:46,800 --> 00:58:54,680 Speaker 1: hundreds and anglers are tremendous folks for taking better care 853 00:58:54,720 --> 00:59:01,400 Speaker 1: of the environment, for public land protection and access and 854 00:59:01,880 --> 00:59:05,960 Speaker 1: proper access, and and uh, I think it would be 855 00:59:06,000 --> 00:59:09,400 Speaker 1: wonderful if it could, you know, follow up on that, 856 00:59:09,480 --> 00:59:13,000 Speaker 1: because I I think we've spend way too much time, 857 00:59:14,200 --> 00:59:18,640 Speaker 1: you know, discussing, um, how people feel about hunting or 858 00:59:19,680 --> 00:59:23,439 Speaker 1: one way or the other. And look, we can't make 859 00:59:23,480 --> 00:59:29,040 Speaker 1: everybody an ethical hunter overnight. We can't make every conservation 860 00:59:29,120 --> 00:59:35,520 Speaker 1: to stop acting like holier than now uh or or 861 00:59:35,560 --> 00:59:39,640 Speaker 1: you know, being annoying. And I think, I think it 862 00:59:39,680 --> 00:59:44,320 Speaker 1: would be tremendous to bring you know, the different forces 863 00:59:44,320 --> 00:59:48,920 Speaker 1: who care about the different groups that care about the 864 00:59:48,960 --> 00:59:51,600 Speaker 1: future of of well life on the planet, but of 865 00:59:51,760 --> 00:59:54,440 Speaker 1: the wild word the world they go into, and that 866 00:59:54,560 --> 00:59:58,600 Speaker 1: they know a lot about. Yeah, And I have great 867 00:59:58,640 --> 01:00:01,959 Speaker 1: respect for a one of my friends who are both 868 01:00:02,000 --> 01:00:05,640 Speaker 1: avid hunters and very keeen naturalists, and I think one 869 01:00:05,720 --> 01:00:09,400 Speaker 1: comes together. You got to know what you're doing out there, um, 870 01:00:09,440 --> 01:00:13,280 Speaker 1: but not you know, not in all situations, all types 871 01:00:13,320 --> 01:00:15,800 Speaker 1: of hunts. But really the guys out roaming the woods 872 01:00:15,840 --> 01:00:19,760 Speaker 1: tend to do it and and and it means a 873 01:00:19,800 --> 01:00:25,520 Speaker 1: lot when they speak up for protecting the the whole 874 01:00:25,560 --> 01:00:29,800 Speaker 1: community of wildlife. And you know, I when look, when 875 01:00:29,840 --> 01:00:35,840 Speaker 1: I see a deer, um a couple of things. I 876 01:00:35,880 --> 01:00:38,880 Speaker 1: think every creature out there is the right answer to 877 01:00:38,920 --> 01:00:42,400 Speaker 1: the question of how best to live in a certain way. 878 01:00:43,080 --> 01:00:46,880 Speaker 1: A certain place, um or wouldn't be here, I wouldn't 879 01:00:46,920 --> 01:00:54,000 Speaker 1: have survived over the millennia. But um, I don't know. 880 01:00:55,000 --> 01:00:58,440 Speaker 1: This is This is a tough one, but I feel 881 01:00:58,440 --> 01:01:05,120 Speaker 1: like we need to somehow look at the deer and 882 01:01:05,280 --> 01:01:10,280 Speaker 1: see what shaped it, you know, the vegetation it eats, 883 01:01:10,440 --> 01:01:15,240 Speaker 1: the animals that competes with for that vegetation, the predators. 884 01:01:15,800 --> 01:01:19,080 Speaker 1: Why does the deer as have the senses it does. 885 01:01:19,200 --> 01:01:22,640 Speaker 1: Why does it have the fleetness, the ability to you know, 886 01:01:22,720 --> 01:01:26,280 Speaker 1: jump over an eight foot fence of this practical stand still. 887 01:01:26,840 --> 01:01:32,080 Speaker 1: You know that was the work of you know, predators 888 01:01:32,080 --> 01:01:36,120 Speaker 1: over thousands of years. And I do know some hunters 889 01:01:36,120 --> 01:01:39,080 Speaker 1: who you know, pretty down on predators because they see 890 01:01:39,120 --> 01:01:46,040 Speaker 1: them as as competing for me. But that respect the 891 01:01:46,240 --> 01:01:49,160 Speaker 1: greater community that made the deer, that may the elk 892 01:01:49,600 --> 01:01:54,480 Speaker 1: as social and communicative as they are m as you know, 893 01:01:55,120 --> 01:01:58,080 Speaker 1: living in groups. Many eyes are better than one, you know, 894 01:01:58,160 --> 01:02:02,880 Speaker 1: one pair. And what made the moose so strong and 895 01:02:03,040 --> 01:02:07,480 Speaker 1: able to punch through deep snow and fend off you know, 896 01:02:07,520 --> 01:02:12,280 Speaker 1: the midsized carnivores. It was just all all these different 897 01:02:12,520 --> 01:02:16,000 Speaker 1: natural forces and you don't get one without the others. 898 01:02:16,040 --> 01:02:18,480 Speaker 1: The way I look at it, and if you just 899 01:02:18,560 --> 01:02:24,160 Speaker 1: focus on one single species, nature doesn't really work that way. 900 01:02:24,720 --> 01:02:28,360 Speaker 1: It's a process that takes place over time that makes 901 01:02:28,400 --> 01:02:33,120 Speaker 1: each animal what it is, and that naturally leads you 902 01:02:33,240 --> 01:02:37,160 Speaker 1: from whatever animal your favorites are. Could be wild jerkys, 903 01:02:37,240 --> 01:02:41,160 Speaker 1: could be deer, could be gosh, I don't know. Help 904 01:02:41,600 --> 01:02:45,880 Speaker 1: here in Montana, certainly, but who else is living there 905 01:02:45,960 --> 01:02:48,080 Speaker 1: with them? And what are they doing that are we 906 01:02:48,200 --> 01:02:51,560 Speaker 1: taking care of them? And obviously works they were all 907 01:02:51,640 --> 01:02:59,120 Speaker 1: here when we invaded this continent, and wildlife management sometimes 908 01:02:59,160 --> 01:03:01,919 Speaker 1: makes it sound like boys, sure good that we got 909 01:03:01,960 --> 01:03:07,320 Speaker 1: here just in time to save all these animals. Well, now, 910 01:03:07,400 --> 01:03:09,800 Speaker 1: what they were doing just great, and they were diverse 911 01:03:10,360 --> 01:03:14,160 Speaker 1: or abundant, and nature was at its healthiest and most 912 01:03:14,160 --> 01:03:20,080 Speaker 1: fertile um. So you know how how much of that 913 01:03:20,280 --> 01:03:22,680 Speaker 1: has been lost is something we can all debate over, 914 01:03:22,800 --> 01:03:26,240 Speaker 1: but it's it's been a lot. And when you asked 915 01:03:26,240 --> 01:03:32,800 Speaker 1: me earlier about the startling decline in numbers worldwide of 916 01:03:35,280 --> 01:03:39,720 Speaker 1: vertebrates or animals with backbones forty percent on up to 917 01:03:39,880 --> 01:03:44,880 Speaker 1: some say sixty percent now and say we don't see 918 01:03:44,880 --> 01:03:47,360 Speaker 1: it in the US, But that's got to remember that's 919 01:03:47,440 --> 01:03:53,200 Speaker 1: partly because we don't see bison in the millions anymore. 920 01:03:54,360 --> 01:03:57,240 Speaker 1: You know, we don't see grizzlies in the tens of thousands. 921 01:03:57,280 --> 01:04:01,280 Speaker 1: We don't see mountain care to move back. And they 922 01:04:01,320 --> 01:04:04,240 Speaker 1: were in the forests of Wyoming right and old grow 923 01:04:04,400 --> 01:04:12,160 Speaker 1: forests of Idaho farther south and anyway. So it's hard, 924 01:04:12,640 --> 01:04:15,760 Speaker 1: you know, to come up with these comparisons. What was 925 01:04:15,800 --> 01:04:19,240 Speaker 1: the natural state, what's here now? How much it's declined. 926 01:04:19,280 --> 01:04:22,040 Speaker 1: But I think rather than get lost in that, I 927 01:04:22,040 --> 01:04:24,320 Speaker 1: would just say, here's what we've got. We've done a 928 01:04:24,360 --> 01:04:28,560 Speaker 1: decent job with the tools we had of conserving it. 929 01:04:29,320 --> 01:04:33,120 Speaker 1: We can do much more, much better. I mean, I've 930 01:04:33,120 --> 01:04:36,920 Speaker 1: been out. I was volunteering on a wolverine study just 931 01:04:36,960 --> 01:04:39,960 Speaker 1: because I realized it's an animal i'd seen but didn't 932 01:04:40,000 --> 01:04:43,240 Speaker 1: really know anything about. And then I realized nobody knows 933 01:04:43,280 --> 01:04:46,680 Speaker 1: much about them, and they were getting overlooked and they 934 01:04:46,680 --> 01:04:49,760 Speaker 1: were declining. We've probably got three hundred and fifty or 935 01:04:49,840 --> 01:04:54,680 Speaker 1: fewer in the lower forty eight states, And you know, 936 01:04:54,760 --> 01:04:59,120 Speaker 1: I just there's a lot of animals and situations like 937 01:04:59,280 --> 01:05:05,920 Speaker 1: that candidates for listing for protection. If enough people are 938 01:05:05,920 --> 01:05:12,680 Speaker 1: working together on management of plans and ways to improve 939 01:05:12,760 --> 01:05:15,840 Speaker 1: things for those critters. They don't have to get listed, 940 01:05:18,240 --> 01:05:21,000 Speaker 1: or if listed, they'd be off the list pretty during quicker. 941 01:05:21,000 --> 01:05:23,919 Speaker 1: If we've made a few right moves, and I that's 942 01:05:23,960 --> 01:05:27,200 Speaker 1: all worth looking at, it's all worth considering. And if 943 01:05:27,280 --> 01:05:33,600 Speaker 1: all every animal deserters, I think the same amount of value. 944 01:05:34,600 --> 01:05:38,000 Speaker 1: And I'm not going to say that deer hunters are 945 01:05:38,080 --> 01:05:42,640 Speaker 1: going to turn into you know, avid wolverine fans um. 946 01:05:43,360 --> 01:05:48,520 Speaker 1: But wolverines are. Wow, what a critter. I followed them 947 01:05:48,600 --> 01:05:50,880 Speaker 1: up to the tops of mountains that are ten you know, 948 01:05:50,960 --> 01:05:56,280 Speaker 1: there's ten thousand foot plus and right around here, and 949 01:05:56,280 --> 01:05:59,560 Speaker 1: they're climbing ice and snow that no human can climber, 950 01:05:59,600 --> 01:06:02,480 Speaker 1: could get it up. They go forty four hours a day. 951 01:06:02,520 --> 01:06:06,960 Speaker 1: I mean the custom it's likely they fueled by nuclear 952 01:06:07,120 --> 01:06:10,640 Speaker 1: energy or something. And they can stand grizzly bears over 953 01:06:10,640 --> 01:06:28,919 Speaker 1: a carcass. I mean, wow, that's the attitude. Yeah. So, 954 01:06:29,960 --> 01:06:33,840 Speaker 1: you know, it's funny. One thing we haven't really touched on, 955 01:06:34,040 --> 01:06:38,400 Speaker 1: which probably a lot of folks are asking, is what's 956 01:06:38,640 --> 01:06:41,480 Speaker 1: causing all this other than the other than the overarching 957 01:06:41,560 --> 01:06:45,680 Speaker 1: umbrella of humans. Uh, you know, there might be people saying, 958 01:06:46,520 --> 01:06:49,520 Speaker 1: all right, I hear what you're saying, we are losing 959 01:06:49,560 --> 01:06:52,440 Speaker 1: a lot of wildlife across the world. There's lots of 960 01:06:52,480 --> 01:06:55,160 Speaker 1: threatened species, there's lots of trends going in the wrong direction. 961 01:06:55,560 --> 01:07:00,360 Speaker 1: But what's specifically is making this happen. And as I understand, Doug, 962 01:07:00,360 --> 01:07:04,360 Speaker 1: in my own reading and research and projects related to this, 963 01:07:04,440 --> 01:07:08,760 Speaker 1: I've seen most of the causes lumped into five buckets, 964 01:07:08,800 --> 01:07:12,320 Speaker 1: that being you know, the various forms of habitat destruction, 965 01:07:13,400 --> 01:07:18,160 Speaker 1: the impacts of climate change, pollution in its many different forms, 966 01:07:18,880 --> 01:07:24,360 Speaker 1: invasive species, and then you know overkill or overharvest or 967 01:07:24,400 --> 01:07:28,160 Speaker 1: poaching of fish and wildlife in different situations. I've seen 968 01:07:28,200 --> 01:07:32,720 Speaker 1: those as the five main culprits of this overarching biodiversity 969 01:07:33,080 --> 01:07:36,720 Speaker 1: crisis across the world. Would you say, does that sound 970 01:07:36,800 --> 01:07:39,720 Speaker 1: right to you, Doug? And secondly, is there any one 971 01:07:39,760 --> 01:07:44,080 Speaker 1: of those or several of those that, from your work 972 01:07:44,120 --> 01:07:53,280 Speaker 1: and experience, seems to stand out above the rest? Unfortunately, no, 973 01:07:53,680 --> 01:07:57,560 Speaker 1: but but there are some we can fix more easily. 974 01:07:58,560 --> 01:08:07,320 Speaker 1: And the pollution is that's just heedlessness and it's causing 975 01:08:07,360 --> 01:08:12,040 Speaker 1: as many look, more people die from air pollution every 976 01:08:12,120 --> 01:08:17,160 Speaker 1: year than from eggs, malaria, and I forget what else. 977 01:08:17,520 --> 01:08:25,360 Speaker 1: Certainly COVID combined. It's huge. And if you go to Beijing, 978 01:08:25,680 --> 01:08:30,760 Speaker 1: or you spend time in Delhi or someplace, you you're 979 01:08:30,800 --> 01:08:35,479 Speaker 1: gonna get sick if you breathe that airline enough. And 980 01:08:36,080 --> 01:08:41,960 Speaker 1: millions of people are being affected, and that's just economics. 981 01:08:42,320 --> 01:08:47,520 Speaker 1: And that change has to come from the people being affected. 982 01:08:47,600 --> 01:08:51,519 Speaker 1: And I don't know, man, I rapidly get out of 983 01:08:51,560 --> 01:08:54,640 Speaker 1: my element because I'm say, I'm just I'm just an 984 01:08:54,680 --> 01:09:00,000 Speaker 1: ot go boy, a wildlife biologist, and all of a sudden, 985 01:09:00,160 --> 01:09:05,200 Speaker 1: the the changes that need to occur are social and 986 01:09:05,360 --> 01:09:13,920 Speaker 1: economic and involved. You know, the resources were taking from 987 01:09:14,080 --> 01:09:20,960 Speaker 1: the land, and whether it's it's harvesting animals or illegally 988 01:09:21,560 --> 01:09:26,880 Speaker 1: or in most of the world, illegally or simply because 989 01:09:26,880 --> 01:09:32,519 Speaker 1: there's no law enforcement. Um, that's one thing, But Jeeves 990 01:09:33,600 --> 01:09:41,519 Speaker 1: taking on the economics of resource extraction is that that's 991 01:09:41,560 --> 01:09:48,519 Speaker 1: above my pay grade. UM. I got to be people, 992 01:09:49,320 --> 01:09:52,360 Speaker 1: and unfortunately they're not those in power. But the people 993 01:09:52,360 --> 01:09:56,920 Speaker 1: are being affected often, but they have somehow to get 994 01:09:57,000 --> 01:10:02,520 Speaker 1: support from other other places, but start making those changes themselves, 995 01:10:02,560 --> 01:10:06,200 Speaker 1: just as each of us. You know, sometimes you feel 996 01:10:06,240 --> 01:10:10,799 Speaker 1: silly recycling your pop cans, are doing those little things 997 01:10:10,840 --> 01:10:14,240 Speaker 1: turning off the lights and all that. But of course 998 01:10:14,240 --> 01:10:17,240 Speaker 1: if millions we're doing it, it it would make a huge difference. 999 01:10:17,880 --> 01:10:19,760 Speaker 1: I do it just because it makes me feel a 1000 01:10:19,760 --> 01:10:26,799 Speaker 1: little better at trouble. But I think the next stage 1001 01:10:26,920 --> 01:10:29,840 Speaker 1: is people taking part of meetings and writing letters all 1002 01:10:29,880 --> 01:10:33,360 Speaker 1: their usual things. But we talk about it, but not 1003 01:10:33,400 --> 01:10:38,280 Speaker 1: that many people do it. And again, if legislators are 1004 01:10:38,280 --> 01:10:43,360 Speaker 1: starting to hear from hunters about a proposed development of 1005 01:10:43,479 --> 01:10:47,160 Speaker 1: some kind, and it doesn't have to be oh, we're 1006 01:10:47,160 --> 01:10:49,080 Speaker 1: going to go lie down in front of the bulldozer. 1007 01:10:49,200 --> 01:10:51,920 Speaker 1: It's just we looked over your plan and you could 1008 01:10:51,960 --> 01:10:55,879 Speaker 1: do a better job of making sure contamination is limited, 1009 01:10:57,080 --> 01:11:03,080 Speaker 1: or you know something, the facility somewhere else besides the 1010 01:11:03,160 --> 01:11:06,240 Speaker 1: side of that mountain, more elk reader, or put that 1011 01:11:06,560 --> 01:11:11,640 Speaker 1: new subdivision somewhere else people can learn. You know, we 1012 01:11:11,760 --> 01:11:14,200 Speaker 1: can make a big change down at city hall. We 1013 01:11:14,280 --> 01:11:17,680 Speaker 1: can make a big change by going to the county commissioners, 1014 01:11:18,479 --> 01:11:23,480 Speaker 1: and make a change by going to the states legislature 1015 01:11:23,560 --> 01:11:26,439 Speaker 1: and hollred about things. I'm just saying I'm not here 1016 01:11:26,439 --> 01:11:30,280 Speaker 1: to fight, really, I'm here to make a change that 1017 01:11:30,360 --> 01:11:33,840 Speaker 1: we can all live with. Let's start with that and 1018 01:11:34,360 --> 01:11:37,600 Speaker 1: the being a generation after us I can continue doing that. 1019 01:11:38,760 --> 01:11:43,040 Speaker 1: Does that make sense? Yeah, oh yeah, it does. So 1020 01:11:43,520 --> 01:11:47,360 Speaker 1: I've got a question about maybe one specific example of 1021 01:11:47,520 --> 01:11:50,880 Speaker 1: something like this that hunters have started engaging in and 1022 01:11:51,040 --> 01:11:55,479 Speaker 1: maybe could do more. And then I think ties into 1023 01:11:55,600 --> 01:12:01,120 Speaker 1: a couple of these larger challenges to wilde being in 1024 01:12:01,160 --> 01:12:05,360 Speaker 1: the form of habitat fragmentation and destruction and the impacts 1025 01:12:05,360 --> 01:12:08,680 Speaker 1: of climate. Let's say, um, there's something I'd love you 1026 01:12:08,720 --> 01:12:11,360 Speaker 1: to talk a little bit about, which is the the 1027 01:12:11,360 --> 01:12:16,360 Speaker 1: island effect and the importance of migration corridors. And this 1028 01:12:16,880 --> 01:12:21,560 Speaker 1: migration corridor push is picking up steam within the conservation 1029 01:12:21,600 --> 01:12:23,439 Speaker 1: community for for many, many years, but now in the 1030 01:12:23,520 --> 01:12:26,120 Speaker 1: hunting community. There's been a lot of interesting studies over 1031 01:12:26,120 --> 01:12:30,439 Speaker 1: the last five ten years about pronghorn migrations, mule deer 1032 01:12:30,439 --> 01:12:34,280 Speaker 1: migrations that are kind of opening the eyes for people 1033 01:12:34,520 --> 01:12:38,120 Speaker 1: and realizing how far these critters go. And so that's 1034 01:12:38,240 --> 01:12:41,960 Speaker 1: that's I think opening a lot of hunter's eyes to 1035 01:12:42,640 --> 01:12:47,080 Speaker 1: the necessity for connective tissue between different wild places because 1036 01:12:47,080 --> 01:12:49,439 Speaker 1: they're now seeing a species they pay attention to a 1037 01:12:49,439 --> 01:12:55,439 Speaker 1: lot needs these connections and corridors. But there's a there's 1038 01:12:55,479 --> 01:12:59,800 Speaker 1: a much wider impact to these wider to having these 1039 01:13:00,240 --> 01:13:03,640 Speaker 1: quarters of vailable because we're seeing, you know, whether it 1040 01:13:03,680 --> 01:13:08,480 Speaker 1: be grizzly bears or pronghorn or any number of different species, 1041 01:13:09,280 --> 01:13:12,479 Speaker 1: they need to be able to move, not only because 1042 01:13:12,520 --> 01:13:16,479 Speaker 1: of natural migrations, but also because the temperatures and the 1043 01:13:16,600 --> 01:13:21,320 Speaker 1: climate zones they need to survive are shifting and they're 1044 01:13:21,320 --> 01:13:24,600 Speaker 1: going to have to shift north or up to be 1045 01:13:24,640 --> 01:13:26,960 Speaker 1: able to continue to have that kind of thing. And 1046 01:13:27,840 --> 01:13:31,040 Speaker 1: this is becoming increasingly challenged because of this island effect. 1047 01:13:31,120 --> 01:13:34,439 Speaker 1: Can you can you tell folks about the island effect, 1048 01:13:34,520 --> 01:13:37,320 Speaker 1: how that impacts wildlife and how we might be able 1049 01:13:37,320 --> 01:13:42,000 Speaker 1: to start dealing with that and creating better corridors and 1050 01:13:42,040 --> 01:13:48,880 Speaker 1: connections to solve for that. Sure, um, and thank for 1051 01:13:48,960 --> 01:13:54,400 Speaker 1: bringing that up, because that's that is key, and because 1052 01:13:54,439 --> 01:14:00,559 Speaker 1: we're on the solutions and satans right now. And the 1053 01:14:00,680 --> 01:14:03,679 Speaker 1: old bottle of conservation was kind of like the King's 1054 01:14:03,760 --> 01:14:10,719 Speaker 1: Hunting Reserve or you know earlier, where you've set aside 1055 01:14:10,760 --> 01:14:16,720 Speaker 1: a hunk of land that scenic, has recreational values, has 1056 01:14:16,760 --> 01:14:22,200 Speaker 1: wildlife values, and you limit access or put offense around 1057 01:14:22,200 --> 01:14:24,960 Speaker 1: it as they do in some of the African reserves 1058 01:14:25,040 --> 01:14:31,639 Speaker 1: and say, hey, we save nature well the eighties percent. 1059 01:14:31,880 --> 01:14:34,960 Speaker 1: Almost of the extinctions that have taken place since the 1060 01:14:35,040 --> 01:14:40,839 Speaker 1: year fifteen hundred have been on oceanic islands, and it's because, 1061 01:14:41,160 --> 01:14:46,679 Speaker 1: of course they're isolated. They're subject to whatever comes through 1062 01:14:46,960 --> 01:14:56,400 Speaker 1: disease or invasive species, hurricanes, you know, changing climate in 1063 01:14:57,120 --> 01:15:02,200 Speaker 1: that particular part. But they can't go anywhere, and they 1064 01:15:02,200 --> 01:15:08,240 Speaker 1: can't get replaced from neighboring populations. And the whole time, 1065 01:15:08,320 --> 01:15:10,600 Speaker 1: if they're not a very large population, they're going to 1066 01:15:10,640 --> 01:15:14,800 Speaker 1: be inbreeding. And the way genetics works is nine times 1067 01:15:14,800 --> 01:15:23,840 Speaker 1: out of ten that specigoes extinct. And that's essentially a 1068 01:15:23,920 --> 01:15:27,000 Speaker 1: model that applies to the way we've done this on 1069 01:15:27,200 --> 01:15:32,360 Speaker 1: land on different continents. We make isolated reserves here and 1070 01:15:32,400 --> 01:15:38,320 Speaker 1: there whereas possible where there was still wild land and 1071 01:15:39,439 --> 01:15:44,400 Speaker 1: still a rich wildlife community and declared a reserve. And 1072 01:15:44,560 --> 01:15:48,400 Speaker 1: now the big push worldwide because of all those factors 1073 01:15:48,439 --> 01:15:53,400 Speaker 1: I mentioned and more studies over the past half century. 1074 01:15:53,920 --> 01:15:58,040 Speaker 1: All point in this direction is that you have to 1075 01:15:58,240 --> 01:16:02,880 Speaker 1: build in that flexibility for animals to adapt and met 1076 01:16:02,960 --> 01:16:06,120 Speaker 1: you brought up a changing climate here in the continent, 1077 01:16:07,479 --> 01:16:10,320 Speaker 1: they have to move up, maybe north or south, maybe 1078 01:16:10,360 --> 01:16:15,360 Speaker 1: to a moister set of conditions. But they've got to 1079 01:16:15,400 --> 01:16:19,440 Speaker 1: be able to move and flow and swap jeans and 1080 01:16:19,680 --> 01:16:24,240 Speaker 1: meet new girlfriends and party in different places. If I 1081 01:16:24,320 --> 01:16:27,360 Speaker 1: put a I go out with a bare biologist who 1082 01:16:27,560 --> 01:16:31,120 Speaker 1: flap a radio color on yet another grizzly. It might 1083 01:16:31,160 --> 01:16:35,080 Speaker 1: be a glacier park, but the next week it's in Canada. 1084 01:16:35,320 --> 01:16:38,880 Speaker 1: It's an Alberta nsover in British Columbia. Then just down 1085 01:16:38,920 --> 01:16:45,240 Speaker 1: the National Forest in western Montana, etc. Do you guys 1086 01:16:45,360 --> 01:16:48,800 Speaker 1: do move a lot? I once followed a mountain lion 1087 01:16:48,960 --> 01:16:51,240 Speaker 1: from the Black Hills in South Dakota. I did it 1088 01:16:51,320 --> 01:16:57,040 Speaker 1: indirectly where people had collected scats and done DNA analysis, 1089 01:16:57,120 --> 01:17:02,200 Speaker 1: but from the Black Hills of South Dakota to the 1090 01:17:02,520 --> 01:17:06,840 Speaker 1: edge of a interstate highway in Connecticut, thirty miles from 1091 01:17:06,880 --> 01:17:09,720 Speaker 1: New York City. Wow, where I got hit by car. 1092 01:17:11,880 --> 01:17:17,880 Speaker 1: Animals can move, and then they're always probing, and that's 1093 01:17:17,960 --> 01:17:20,360 Speaker 1: part of the value. It's like white tailed deer, right. 1094 01:17:20,439 --> 01:17:23,240 Speaker 1: They they produce a lot of the young, and those 1095 01:17:23,320 --> 01:17:28,320 Speaker 1: young have to disperse to find habitat in the stages 1096 01:17:28,360 --> 01:17:31,320 Speaker 1: that they like, the early stages of forest succession with 1097 01:17:31,400 --> 01:17:35,640 Speaker 1: a lot of brush and you know, very grasslands and 1098 01:17:35,880 --> 01:17:38,200 Speaker 1: well a variety of plants that you don't get in 1099 01:17:38,240 --> 01:17:41,840 Speaker 1: a closed forest, as you know, so you know, they're 1100 01:17:41,880 --> 01:17:49,160 Speaker 1: dispersing all the time. So if they're contained, or they've 1101 01:17:49,200 --> 01:17:53,320 Speaker 1: got potentially a fence in the form of new housing, 1102 01:17:53,439 --> 01:17:57,840 Speaker 1: new agricultural lands or whatever that they're not allowed on, 1103 01:18:00,280 --> 01:18:03,720 Speaker 1: how do they do that? And so if you're in 1104 01:18:03,760 --> 01:18:09,719 Speaker 1: Africa and you're looking at the elephants in Manyara, they've 1105 01:18:09,760 --> 01:18:12,080 Speaker 1: got to get to Ruaha. They have to get from 1106 01:18:12,120 --> 01:18:15,080 Speaker 1: Ruaha to the Serengetti. They have to you know, there's 1107 01:18:15,120 --> 01:18:19,479 Speaker 1: a string of wonderful wildlife parks there, but they are 1108 01:18:19,560 --> 01:18:23,880 Speaker 1: all islands. And so what they're doing now is going 1109 01:18:24,040 --> 01:18:28,519 Speaker 1: in between those reserves, working with communities and who have 1110 01:18:28,800 --> 01:18:32,479 Speaker 1: problems with wildlife coming through. Sometimes the elephants are eating crops, 1111 01:18:32,720 --> 01:18:40,000 Speaker 1: or the lions are considered dangerous or taking livestock coming 1112 01:18:40,080 --> 01:18:43,599 Speaker 1: up with you know, a whole lot of creative plans 1113 01:18:43,720 --> 01:18:50,520 Speaker 1: that end up making that passageway between the existing reserves 1114 01:18:51,160 --> 01:18:53,800 Speaker 1: termeable to wildlife. You don't have to go and create 1115 01:18:53,840 --> 01:18:57,559 Speaker 1: another park. You don't have to make a superpark over 1116 01:18:57,600 --> 01:19:00,920 Speaker 1: the whole area. You have to make corridors or wild 1117 01:19:00,960 --> 01:19:03,639 Speaker 1: waves or habitat bridges or whatever you want to call 1118 01:19:03,720 --> 01:19:09,920 Speaker 1: them that allow animals to move and adapt and reproduce, 1119 01:19:10,080 --> 01:19:15,280 Speaker 1: and that is being undertaken in parts of Africa, in 1120 01:19:15,360 --> 01:19:23,920 Speaker 1: parts of Asia. Thailand have some reserves bordering Myanmar, the 1121 01:19:23,960 --> 01:19:29,960 Speaker 1: old Burma, I guess. And here in the US we've 1122 01:19:30,000 --> 01:19:34,599 Speaker 1: got some landscape level plans taking shape in a number 1123 01:19:34,600 --> 01:19:38,640 Speaker 1: of areas, but actually in reasonable shape in the what 1124 01:19:38,840 --> 01:19:43,800 Speaker 1: it's called the Yellowstone to Yukon Conservation Initiative, which is 1125 01:19:43,840 --> 01:19:49,559 Speaker 1: two thousand miles from south of Yellowstone up to well 1126 01:19:49,640 --> 01:19:54,680 Speaker 1: north into the Yukon, and that they say it is 1127 01:19:55,240 --> 01:20:01,280 Speaker 1: the size and scale of of land nature needs to 1128 01:20:02,240 --> 01:20:09,520 Speaker 1: and wildlife populations need to stain themselves over time. Oh 1129 01:20:09,600 --> 01:20:12,360 Speaker 1: and one thing I'll add, if can I ramble on 1130 01:20:12,600 --> 01:20:19,760 Speaker 1: and y okay Um. Part of this is because we've 1131 01:20:19,800 --> 01:20:23,200 Speaker 1: got a lot of America is graced with a whole 1132 01:20:23,200 --> 01:20:28,240 Speaker 1: lot of public land that alone distinguishes us from so 1133 01:20:28,280 --> 01:20:30,720 Speaker 1: many countries. And as part of the reason you and 1134 01:20:30,760 --> 01:20:34,559 Speaker 1: I have been pointing out that things are are looking 1135 01:20:34,600 --> 01:20:38,000 Speaker 1: pretty good here compared to much of the world. Um. 1136 01:20:39,360 --> 01:20:44,320 Speaker 1: But what we're finding now as things get busier, highways 1137 01:20:44,360 --> 01:20:49,600 Speaker 1: get busier, communities grow there's more logging and mining, and 1138 01:20:49,960 --> 01:20:53,599 Speaker 1: you know, road access into the former back country um 1139 01:20:54,320 --> 01:20:59,599 Speaker 1: our parks in the Rockies are turning into um let's 1140 01:20:59,600 --> 01:21:03,719 Speaker 1: call them near islands. But there's a lot of land 1141 01:21:03,760 --> 01:21:09,719 Speaker 1: in between public land that can be managed UM more 1142 01:21:09,840 --> 01:21:12,880 Speaker 1: in favor of wildlife, less in favor of of just 1143 01:21:13,720 --> 01:21:18,880 Speaker 1: cut and run extraction or big and run UM. And 1144 01:21:18,920 --> 01:21:22,839 Speaker 1: then there's a final key element, and that is private 1145 01:21:22,920 --> 01:21:28,800 Speaker 1: land UM in the areas between wildlife strongholds. If a 1146 01:21:28,840 --> 01:21:32,559 Speaker 1: bear was to get from Yellowstone Park to Glacier Park 1147 01:21:33,720 --> 01:21:38,200 Speaker 1: and the Yellowstone population is isolated, or the elk migrate, 1148 01:21:38,400 --> 01:21:40,519 Speaker 1: or the as you say, the pronghorns, you need to 1149 01:21:40,520 --> 01:21:47,160 Speaker 1: get down into wyoming UM from from the Red Debt, sorry, 1150 01:21:47,200 --> 01:21:51,759 Speaker 1: from from say Teton National Park into the Red Desert 1151 01:21:52,880 --> 01:21:56,840 Speaker 1: one hundred miles UM. You you're going through private lands 1152 01:21:56,880 --> 01:21:59,760 Speaker 1: and fences, so you can change the fencing rangements. You 1153 01:21:59,760 --> 01:22:04,080 Speaker 1: can put overpasses their underpasses where they have to cross 1154 01:22:04,120 --> 01:22:08,960 Speaker 1: a freeway and occasionally get slaughtered. They many died during 1155 01:22:09,000 --> 01:22:11,519 Speaker 1: storms and they come up against fences they can cross. 1156 01:22:12,160 --> 01:22:15,880 Speaker 1: And then there's still just the land itself. And if 1157 01:22:15,920 --> 01:22:20,320 Speaker 1: a landowner is operating in certain ways of no use 1158 01:22:20,360 --> 01:22:25,280 Speaker 1: to those animals. If the landowner is willing to keep 1159 01:22:25,600 --> 01:22:29,040 Speaker 1: some of the habitat intact and some of the cover 1160 01:22:30,479 --> 01:22:36,200 Speaker 1: that dear and help need, for example, in just again 1161 01:22:36,240 --> 01:22:40,880 Speaker 1: a corridor a right of way for the four legged critters, 1162 01:22:41,600 --> 01:22:43,800 Speaker 1: that makes all the difference in the world long term. 1163 01:22:43,960 --> 01:22:48,160 Speaker 1: And so the factor I'm trying to put it out 1164 01:22:48,360 --> 01:22:54,400 Speaker 1: is land trusts, by which groups go out and arrange 1165 01:22:54,520 --> 01:22:59,920 Speaker 1: conservation easness with private landowners. And these are willing landowners. 1166 01:23:00,000 --> 01:23:04,519 Speaker 1: Nobody's regulating anything, nobody's forcing anything. It's a win win 1167 01:23:04,640 --> 01:23:08,640 Speaker 1: deal where they get paid to maintain their land in 1168 01:23:08,680 --> 01:23:13,400 Speaker 1: a wildlife friendly manner. And maybe you've discussed this on 1169 01:23:13,960 --> 01:23:18,680 Speaker 1: previous podcasts and probably have. Um, this has proven to 1170 01:23:18,720 --> 01:23:22,080 Speaker 1: be a key in Montana's a leader in in this. 1171 01:23:22,320 --> 01:23:28,840 Speaker 1: Uh you know this, this what strategy for keeping wildlife 1172 01:23:28,880 --> 01:23:34,080 Speaker 1: able to move and adapt and being done with Joe 1173 01:23:34,120 --> 01:23:38,600 Speaker 1: Blow next door. You know, the neighbors, the people in 1174 01:23:38,680 --> 01:23:41,240 Speaker 1: the community who what I see that wildlife and have 1175 01:23:41,400 --> 01:23:45,800 Speaker 1: it in your lives and um, it adds up to 1176 01:23:45,920 --> 01:23:49,599 Speaker 1: a lot of acreage in the right places. And because 1177 01:23:49,600 --> 01:23:51,880 Speaker 1: they're you know all this has been pretty well mapped 1178 01:23:51,880 --> 01:23:55,760 Speaker 1: out over time by biologists and ecologists where you can 1179 01:23:55,800 --> 01:23:58,360 Speaker 1: look at a map of a region and say, okay, 1180 01:23:58,360 --> 01:24:00,559 Speaker 1: if I were an elk or a white kill deer 1181 01:24:00,720 --> 01:24:04,640 Speaker 1: or a links, where would I go? Where would I 1182 01:24:04,720 --> 01:24:09,400 Speaker 1: need to go? And if you're looking at public land management, 1183 01:24:10,760 --> 01:24:14,160 Speaker 1: some pressure from the public to maybe manage it more 1184 01:24:14,200 --> 01:24:17,000 Speaker 1: in favor of wildlife, and then you're looking at private 1185 01:24:17,080 --> 01:24:22,639 Speaker 1: landloders who willingly will take part in this movement pattern. 1186 01:24:23,640 --> 01:24:27,960 Speaker 1: Making a movement pattern available, we can make great strides 1187 01:24:28,000 --> 01:24:33,200 Speaker 1: and we can conserve big nature and that's what a 1188 01:24:33,200 --> 01:24:39,560 Speaker 1: full wildlife community needs. Yeah. So if IF IF advocating 1189 01:24:39,600 --> 01:24:44,720 Speaker 1: for these kinds of things, such as migration corridors, wildlife 1190 01:24:44,120 --> 01:24:49,439 Speaker 1: passages across highways, helping fund different easement programs, you know 1191 01:24:49,439 --> 01:24:51,559 Speaker 1: on the migration quarteror thing. We have had some good 1192 01:24:51,560 --> 01:24:53,920 Speaker 1: news on that recently. I think there was something like 1193 01:24:53,960 --> 01:24:57,960 Speaker 1: three hundred and fifty million dollars for migration corridor related 1194 01:24:57,960 --> 01:25:01,760 Speaker 1: work in the recent ira UM Flas Reduction Act. And 1195 01:25:01,800 --> 01:25:04,280 Speaker 1: there's a whole lot of dollars in the infrastructure bill 1196 01:25:04,320 --> 01:25:06,920 Speaker 1: from two years ago. So I think there's there's some 1197 01:25:06,960 --> 01:25:12,160 Speaker 1: steam building there. Yeah, So that's that's exciting. UM. But 1198 01:25:13,320 --> 01:25:17,720 Speaker 1: I guess Doug if if you were too, if you 1199 01:25:17,720 --> 01:25:19,680 Speaker 1: were to have one of my audience members sitting in 1200 01:25:19,680 --> 01:25:22,000 Speaker 1: front of you and the two of you were drinking 1201 01:25:22,000 --> 01:25:23,880 Speaker 1: a cup of coffee right now, and they've just heard 1202 01:25:23,920 --> 01:25:26,559 Speaker 1: everything you had to say. And I think anyone listening 1203 01:25:26,600 --> 01:25:29,240 Speaker 1: to this podcast is already someone who you know has 1204 01:25:29,280 --> 01:25:31,960 Speaker 1: some kind of connection with nature. They're a hunter and 1205 01:25:32,000 --> 01:25:35,200 Speaker 1: an angler. They appreciate these things. But maybe they haven't 1206 01:25:35,280 --> 01:25:37,280 Speaker 1: zoomed out quite as much as we have today and 1207 01:25:37,360 --> 01:25:40,200 Speaker 1: looked at the larger picture, or looked outside of their 1208 01:25:40,240 --> 01:25:44,720 Speaker 1: favorite species. And maybe they're hearing this and recognizing, Man, 1209 01:25:44,800 --> 01:25:47,080 Speaker 1: I do need to try to do something more than 1210 01:25:47,080 --> 01:25:50,519 Speaker 1: I'm already doing. And you were sitting there across from them, 1211 01:25:50,560 --> 01:25:54,200 Speaker 1: what would be two things that you would tell them 1212 01:25:54,240 --> 01:25:57,599 Speaker 1: now that that you would encourage them to to do. 1213 01:25:57,920 --> 01:26:01,559 Speaker 1: Two actions they could take that you think could make 1214 01:26:01,600 --> 01:26:10,759 Speaker 1: a difference in some kind of way. Uh Um, okay, 1215 01:26:12,120 --> 01:26:19,040 Speaker 1: I would first, depending on who I'm talking too, but um, 1216 01:26:19,040 --> 01:26:22,080 Speaker 1: settling down and say I don't know what I'm doing, um, 1217 01:26:22,360 --> 01:26:25,639 Speaker 1: and I'm making it up as I go along. And 1218 01:26:25,720 --> 01:26:27,680 Speaker 1: by the way, you don't have to take off your 1219 01:26:27,760 --> 01:26:32,240 Speaker 1: camo and start wearing hemp clothing. You know, um or anything. 1220 01:26:33,920 --> 01:26:36,640 Speaker 1: You know. Hundreds like to say, there's a there's this 1221 01:26:36,840 --> 01:26:40,880 Speaker 1: weird distinction in our culture where people say, I'm a conservationist, 1222 01:26:40,920 --> 01:26:46,120 Speaker 1: but I'm no environmentalist because they you know, environmentalism means 1223 01:26:46,120 --> 01:26:50,240 Speaker 1: marching on nuclear power plants or uh, you know, whatever 1224 01:26:50,920 --> 01:26:54,240 Speaker 1: is going on and or a big fight over a 1225 01:26:54,280 --> 01:26:57,320 Speaker 1: polluting plant or something. And and a lot of people 1226 01:26:57,439 --> 01:27:00,599 Speaker 1: just don't see themselves in that role. And I don't 1227 01:27:00,600 --> 01:27:04,559 Speaker 1: see it in my role. Um, So I would say 1228 01:27:05,760 --> 01:27:09,920 Speaker 1: the right now, maybe the most effective thing hunters can 1229 01:27:09,960 --> 01:27:13,479 Speaker 1: do is talk to each other and and come up 1230 01:27:13,520 --> 01:27:16,360 Speaker 1: with their own solution, rather than listen to this guy 1231 01:27:16,439 --> 01:27:21,120 Speaker 1: you're talking to right now and just say, well, look, 1232 01:27:21,160 --> 01:27:25,840 Speaker 1: I know, I know we love hunting together, and um, 1233 01:27:27,439 --> 01:27:29,679 Speaker 1: you know, we've spent a lot of time outdoors together. 1234 01:27:29,840 --> 01:27:32,080 Speaker 1: And by the way, I've noticed you're kind of a 1235 01:27:33,080 --> 01:27:36,400 Speaker 1: U you like to track the other carnivores out there, 1236 01:27:37,479 --> 01:27:41,519 Speaker 1: m or you like you like to spend time, I 1237 01:27:41,560 --> 01:27:44,559 Speaker 1: don't know, just just seeing what else is there. I mean, 1238 01:27:44,560 --> 01:27:48,000 Speaker 1: that's part of the joy of being out, you know, 1239 01:27:48,040 --> 01:27:52,720 Speaker 1: a day in the woods and and there is a 1240 01:27:52,800 --> 01:27:55,400 Speaker 1: problem going, you know, and and what can we do 1241 01:27:55,479 --> 01:27:57,880 Speaker 1: just to make life a little easier for the critters 1242 01:27:57,960 --> 01:28:01,920 Speaker 1: here and make sure are still around for the next generation. 1243 01:28:02,040 --> 01:28:06,639 Speaker 1: And um, gosh, I don't know what do you think. 1244 01:28:06,680 --> 01:28:09,040 Speaker 1: I mean? I'm not I don't see myself as a 1245 01:28:09,120 --> 01:28:11,880 Speaker 1: letter writer, but I might be able to get down 1246 01:28:11,920 --> 01:28:16,920 Speaker 1: to that city hall meeting about the development going in 1247 01:28:15,800 --> 01:28:19,599 Speaker 1: UM in that area we like to hunt here or 1248 01:28:19,640 --> 01:28:22,840 Speaker 1: that maybe that area we like to hunt in UM 1249 01:28:23,840 --> 01:28:27,080 Speaker 1: and put it in our two cents worth and you know, 1250 01:28:27,200 --> 01:28:29,479 Speaker 1: learn a bit more about it and go in and say, well, 1251 01:28:29,520 --> 01:28:32,200 Speaker 1: here's what the deer need, here's what the you know, 1252 01:28:32,280 --> 01:28:37,320 Speaker 1: the whatever your favorite critter is and our plant um 1253 01:28:38,400 --> 01:28:41,839 Speaker 1: and start at that level rather than me throw out 1254 01:28:41,920 --> 01:28:46,200 Speaker 1: you know, you should join this group or that group. UM. 1255 01:28:46,680 --> 01:28:49,599 Speaker 1: I would recommend looking into land trusts. They always mean, 1256 01:28:50,400 --> 01:28:53,880 Speaker 1: you know, a few extra bucks and maybe some time 1257 01:28:54,000 --> 01:28:59,120 Speaker 1: from people. And I know, I'm sure some of your 1258 01:28:59,160 --> 01:29:03,120 Speaker 1: listeners are are already active volunteers and going out and 1259 01:29:03,160 --> 01:29:09,080 Speaker 1: restoring some landscapes, restoring, rehabbing trout streams or you know, 1260 01:29:09,280 --> 01:29:12,559 Speaker 1: their favorite fishing spot. I don't know how many would 1261 01:29:12,560 --> 01:29:17,360 Speaker 1: be looking at the the endangered muscles probably live in 1262 01:29:17,400 --> 01:29:19,759 Speaker 1: that water and filter it and help make it clear 1263 01:29:19,840 --> 01:29:23,040 Speaker 1: and keep pulling this down. But as he's worth getting 1264 01:29:23,040 --> 01:29:27,400 Speaker 1: to know more about UM. I'd start small, and I'd 1265 01:29:27,439 --> 01:29:31,519 Speaker 1: start with like minded people and try to figure out 1266 01:29:31,600 --> 01:29:35,920 Speaker 1: together what difference one person can make. And you know, 1267 01:29:35,920 --> 01:29:39,320 Speaker 1: it's a big global problem. We've got a head start 1268 01:29:39,400 --> 01:29:42,120 Speaker 1: on some of the solutions here in the US. How 1269 01:29:42,160 --> 01:29:47,240 Speaker 1: can we make them happen sooner and better? Yeah? I 1270 01:29:47,280 --> 01:29:51,960 Speaker 1: think that's pretty va I'm sorry if that, but but 1271 01:29:52,080 --> 01:29:56,599 Speaker 1: great advice, but great advice. I think that there's there's 1272 01:29:56,920 --> 01:29:59,920 Speaker 1: I think it was it was Teddy Roosevelt who said 1273 01:30:00,120 --> 01:30:03,800 Speaker 1: something like he appreciates the man that takes the first 1274 01:30:03,840 --> 01:30:07,679 Speaker 1: step more than he appreciates the man that strategizes about 1275 01:30:07,680 --> 01:30:10,479 Speaker 1: the two hundred steps to come. You know, there's something 1276 01:30:11,080 --> 01:30:13,280 Speaker 1: there's something to be said about just doing what you 1277 01:30:13,280 --> 01:30:16,000 Speaker 1: can right now, like taking doing that one little thing, 1278 01:30:16,240 --> 01:30:20,160 Speaker 1: starting small, but doing something. And it's so easy to 1279 01:30:20,240 --> 01:30:22,160 Speaker 1: want to just sit around and think, well, jeez, this 1280 01:30:22,240 --> 01:30:24,160 Speaker 1: is so much bigger than me. I don't know what 1281 01:30:24,200 --> 01:30:26,120 Speaker 1: to do, or I could you could do this, you 1282 01:30:26,120 --> 01:30:28,479 Speaker 1: could do this, you could do this, and then never 1283 01:30:28,520 --> 01:30:33,519 Speaker 1: actually take any action. I was just yesterday, you know, 1284 01:30:33,560 --> 01:30:35,519 Speaker 1: this morning I emailed you and told you I was 1285 01:30:35,600 --> 01:30:38,800 Speaker 1: running late because my flight got delayed. I was in 1286 01:30:38,920 --> 01:30:43,759 Speaker 1: Massachusetts yesterday at a volunteer habitat day on a wildlife 1287 01:30:43,800 --> 01:30:48,759 Speaker 1: management area just outside of Boston, and we had almost 1288 01:30:48,760 --> 01:30:52,800 Speaker 1: one hundred folks come out to clean up, pick up trash, 1289 01:30:52,920 --> 01:30:56,320 Speaker 1: pick up shotgun shells, take all sorts of stuff out 1290 01:30:56,320 --> 01:30:59,400 Speaker 1: of there, put up wood, duck boxes, put up bluebird boxes. 1291 01:31:00,479 --> 01:31:05,800 Speaker 1: It was it was nothing fancy. We weren't doing anything profound, profound, 1292 01:31:05,920 --> 01:31:10,360 Speaker 1: We weren't solving all the world's problems. But there was 1293 01:31:11,080 --> 01:31:15,680 Speaker 1: dozens and dozens of people out there together in a community, 1294 01:31:16,320 --> 01:31:20,160 Speaker 1: hunters and anglers, people who care about wildlife and wild places. 1295 01:31:20,680 --> 01:31:23,840 Speaker 1: And they were making a difference that day in a 1296 01:31:23,920 --> 01:31:28,000 Speaker 1: small way, but in a tangible way. And I felt 1297 01:31:28,000 --> 01:31:30,559 Speaker 1: this like energy when we were talking, you know, with 1298 01:31:30,800 --> 01:31:36,320 Speaker 1: in different small groups, people could feel the you know, 1299 01:31:36,360 --> 01:31:40,120 Speaker 1: the positive impact of in one small way today putting 1300 01:31:40,160 --> 01:31:43,280 Speaker 1: a dent in this thing. And I think that there's 1301 01:31:43,479 --> 01:31:45,320 Speaker 1: and I'm curious if you think there's truth this or 1302 01:31:45,360 --> 01:31:49,240 Speaker 1: not dug but I think there's there's power in momentum 1303 01:31:49,800 --> 01:31:53,120 Speaker 1: and if you can take that little step today and 1304 01:31:53,120 --> 01:31:57,599 Speaker 1: and I think it helps form an identity if you 1305 01:31:57,720 --> 01:32:00,360 Speaker 1: act in some ways. So so yesterday I picked up 1306 01:32:00,360 --> 01:32:02,439 Speaker 1: trash all day with a bunch of folks who care 1307 01:32:02,439 --> 01:32:06,240 Speaker 1: about wildlife, and that steeps into my pores. And now 1308 01:32:06,280 --> 01:32:08,960 Speaker 1: tomorrow I feel more and more like, you know, I'm 1309 01:32:09,040 --> 01:32:12,439 Speaker 1: someone who who works for wildlife, who cares about these things. 1310 01:32:12,439 --> 01:32:16,400 Speaker 1: And so when I get that email from some conservation 1311 01:32:16,479 --> 01:32:18,960 Speaker 1: organizations saying, hey, you know what, we need people to 1312 01:32:19,000 --> 01:32:22,880 Speaker 1: call their senators because there's this thing coming down the pipeline, well, 1313 01:32:22,960 --> 01:32:25,599 Speaker 1: now you know, hey, I just did this thing last weekend. 1314 01:32:25,720 --> 01:32:28,000 Speaker 1: I can do this thing now tomorrow, and then after 1315 01:32:28,040 --> 01:32:29,880 Speaker 1: that the next thing comes up, and all of a sudden, 1316 01:32:29,920 --> 01:32:34,640 Speaker 1: two months from now, I'm planning trees or whatever it is. 1317 01:32:34,760 --> 01:32:37,760 Speaker 1: I think these things can snowball, and there's momentum that 1318 01:32:37,880 --> 01:32:42,680 Speaker 1: builds with every tiny little step, and eventually all of 1319 01:32:42,680 --> 01:32:45,280 Speaker 1: that adds up. And I think if more and more 1320 01:32:45,320 --> 01:32:48,760 Speaker 1: people start taking these little push the snowball down the 1321 01:32:48,800 --> 01:32:50,720 Speaker 1: hill kind of actions, all of a sudden, we've got 1322 01:32:50,760 --> 01:32:56,160 Speaker 1: an avalanche and we can tackle this thing. Is that crazy? Yes? No, No, 1323 01:32:56,320 --> 01:32:59,400 Speaker 1: of course that's look you are. You're doing a lot 1324 01:32:59,479 --> 01:33:02,919 Speaker 1: yourself and at a lot of levels, and I certainly 1325 01:33:03,000 --> 01:33:06,519 Speaker 1: thank you for that and on behalf of a lot 1326 01:33:06,520 --> 01:33:12,400 Speaker 1: of overlook critters. But um, and you can tell I'm 1327 01:33:12,400 --> 01:33:17,760 Speaker 1: really reluctant to offer advice and um, and yet that's 1328 01:33:17,800 --> 01:33:19,760 Speaker 1: what people need. And I think you put it. You 1329 01:33:19,920 --> 01:33:24,360 Speaker 1: put it splendidly, and you know, I just feel really 1330 01:33:24,360 --> 01:33:26,240 Speaker 1: good about that sort of thing. And it was not 1331 01:33:26,320 --> 01:33:31,040 Speaker 1: because I feel righteous or or oh boy, am I 1332 01:33:31,200 --> 01:33:34,760 Speaker 1: a good citizen here. It's just planting trees is a 1333 01:33:34,880 --> 01:33:38,840 Speaker 1: joy in itself, and pulling out weeds is the same way. 1334 01:33:38,920 --> 01:33:42,240 Speaker 1: It's weird, but it works for some of us. And 1335 01:33:42,240 --> 01:33:45,960 Speaker 1: and if that leads to, you know, meeting other people 1336 01:33:46,280 --> 01:33:50,360 Speaker 1: and sharing ideas and seeing what you have in common 1337 01:33:50,400 --> 01:33:54,360 Speaker 1: and then taking some next steps, that's just about perfect. 1338 01:33:54,520 --> 01:33:58,040 Speaker 1: I mean I when you ask the recommendations, and you 1339 01:33:58,120 --> 01:34:00,880 Speaker 1: talked about Teddy Roosevelt, and I'd say, well, I did 1340 01:34:00,920 --> 01:34:04,880 Speaker 1: forget to recommend that somebody out there just needs to 1341 01:34:04,960 --> 01:34:09,640 Speaker 1: run for president and turn into the next Teddy Roosevelt. Yeah, 1342 01:34:10,080 --> 01:34:13,479 Speaker 1: one of your listeners, Come on, guys, Gallos, Yes, got 1343 01:34:13,560 --> 01:34:18,280 Speaker 1: to step up. We need we do need that. Well, Doug, 1344 01:34:18,920 --> 01:34:21,920 Speaker 1: this is uh, this has been just the conversation I've 1345 01:34:21,960 --> 01:34:24,960 Speaker 1: been needing and been wanting to have so so thank 1346 01:34:25,000 --> 01:34:28,760 Speaker 1: you for for chatting with me about all of this. Um, 1347 01:34:29,880 --> 01:34:34,479 Speaker 1: I would recommend anyone listening to pick up your book 1348 01:34:34,520 --> 01:34:37,479 Speaker 1: four Fifths at Grizzly. It's it's great. It takes everything 1349 01:34:37,479 --> 01:34:39,880 Speaker 1: we talked about here today and expands on it in 1350 01:34:39,880 --> 01:34:41,720 Speaker 1: a lot of different ways, and it's it's it's a 1351 01:34:41,720 --> 01:34:46,840 Speaker 1: beautiful book, amazing photos. You know. I couldn't recommend it enough. 1352 01:34:46,880 --> 01:34:48,400 Speaker 1: But what I would like you to do, if you 1353 01:34:48,400 --> 01:34:52,920 Speaker 1: don't mind, is is there any other one of your 1354 01:34:52,920 --> 01:34:56,160 Speaker 1: books if you had to recommend one other of your 1355 01:34:56,200 --> 01:34:59,360 Speaker 1: many many publications and things out there that you think 1356 01:35:00,000 --> 01:35:02,640 Speaker 1: our audience might be interested in, or that you're particularly 1357 01:35:02,640 --> 01:35:06,160 Speaker 1: proud of. That maybe is Collecting Dust in the Archives 1358 01:35:06,160 --> 01:35:08,280 Speaker 1: that you published long ago since you've been you've been 1359 01:35:08,320 --> 01:35:10,680 Speaker 1: at this a while. Is there any other piece of 1360 01:35:10,720 --> 01:35:12,559 Speaker 1: work that you'd like to send folks to check out 1361 01:35:12,560 --> 01:35:14,320 Speaker 1: other than this one that I will shout from the 1362 01:35:14,320 --> 01:35:23,920 Speaker 1: mountaintops for you. Well, yeah, yeah, I'm strictly unbiased here. No, 1363 01:35:24,120 --> 01:35:28,160 Speaker 1: I would recommend The Wolverine Way, which was published by 1364 01:35:28,439 --> 01:35:34,559 Speaker 1: Patagonia before Four Fifths, so Grizzly. And the reason I'm 1365 01:35:34,600 --> 01:35:39,080 Speaker 1: bringing that out is I just in the course of 1366 01:35:39,560 --> 01:35:42,639 Speaker 1: learning about wolverines and again starting almost in a scrack. 1367 01:35:42,760 --> 01:35:45,439 Speaker 1: Nobody knew much about them at all, and the work 1368 01:35:45,479 --> 01:35:49,680 Speaker 1: we did and I did just as a volunhappy volunteer 1369 01:35:50,960 --> 01:35:53,680 Speaker 1: stand for weeks at a time out and remote outposts 1370 01:35:53,720 --> 01:35:57,479 Speaker 1: and catching wolverines and get radios on. They move like 1371 01:35:57,600 --> 01:36:00,840 Speaker 1: nobody else stays, social systems all different. It was just 1372 01:36:00,880 --> 01:36:04,080 Speaker 1: a every day brought new discoveries and that is a 1373 01:36:04,200 --> 01:36:09,840 Speaker 1: reward unto itself, and and it also brings up the 1374 01:36:09,880 --> 01:36:13,519 Speaker 1: fact that, look, I love to hunt. I love to 1375 01:36:14,000 --> 01:36:17,679 Speaker 1: you know, stock animals, get close enough to watch them, 1376 01:36:18,479 --> 01:36:21,840 Speaker 1: and you know, I just I'm not so much into 1377 01:36:22,160 --> 01:36:26,320 Speaker 1: taking something home with me. Um. But man, when I'm 1378 01:36:26,360 --> 01:36:31,479 Speaker 1: doing that, all my senses are firing. I'm I'm the 1379 01:36:31,600 --> 01:36:35,200 Speaker 1: human of the day. But I'm also the human that arose, 1380 01:36:35,479 --> 01:36:40,400 Speaker 1: you know, from our ancestors, with all my nerves and 1381 01:36:40,600 --> 01:36:45,280 Speaker 1: hormones and senses going, and you know, like they're like 1382 01:36:45,360 --> 01:36:47,919 Speaker 1: they're built to be. And I know that's a good 1383 01:36:47,920 --> 01:36:51,800 Speaker 1: White guys like hunting and I like hunting too, just 1384 01:36:51,960 --> 01:36:54,719 Speaker 1: to you know, I come out in a different way. 1385 01:36:54,760 --> 01:36:57,720 Speaker 1: But I'm not going to say I totally get it, 1386 01:36:57,760 --> 01:37:01,639 Speaker 1: but I certainly get that, and I got it with 1387 01:37:02,320 --> 01:37:06,600 Speaker 1: tracking wolverines and already about them. And you know, on 1388 01:37:06,640 --> 01:37:10,360 Speaker 1: a typical day, I'd be following their tracks past big 1389 01:37:10,400 --> 01:37:14,559 Speaker 1: horned sheep and mountain goats and moose and crossing lion tracks, 1390 01:37:17,360 --> 01:37:21,800 Speaker 1: wolf tracks, kyoats that follow the wolverines to scavenge for carcasses. 1391 01:37:21,880 --> 01:37:26,800 Speaker 1: They leave snowshoe hairs at the kyo veered off on 1392 01:37:26,960 --> 01:37:29,040 Speaker 1: to go hunt. You know, it's just brought the whole 1393 01:37:29,800 --> 01:37:34,479 Speaker 1: community fully to life, and and I think it gets 1394 01:37:34,520 --> 01:37:37,320 Speaker 1: at the dedication of some of the researchers out there, 1395 01:37:38,080 --> 01:37:41,360 Speaker 1: but mostly at the joy of learning about new species 1396 01:37:41,600 --> 01:37:46,360 Speaker 1: and how they live. And it's a good adventure story too, 1397 01:37:46,439 --> 01:37:51,200 Speaker 1: a lot of mountaineering and pretty tough animal to work 1398 01:37:51,240 --> 01:37:55,439 Speaker 1: with and pretty pretty fierce, but not nothing like it 1399 01:37:55,520 --> 01:37:58,920 Speaker 1: for reputation for you know, being a danger to people 1400 01:37:58,920 --> 01:38:04,880 Speaker 1: in the woods. But but wow, um uh. Anyway, that 1401 01:38:04,920 --> 01:38:09,320 Speaker 1: would be the one um perfect because it's the closest 1402 01:38:10,040 --> 01:38:14,000 Speaker 1: closest I've written to a hunting book that does that 1403 01:38:14,120 --> 01:38:16,040 Speaker 1: does sound like a good read. That's that's when I 1404 01:38:16,040 --> 01:38:18,280 Speaker 1: haven't read yet, so it's it'll be on my list. 1405 01:38:18,600 --> 01:38:20,519 Speaker 1: The only thing I have against wolverines is that I 1406 01:38:20,560 --> 01:38:24,160 Speaker 1: went to Michigan State University and our arch rivals are 1407 01:38:24,200 --> 01:38:26,680 Speaker 1: the University of Michigan Wolverines. So I will try not 1408 01:38:26,720 --> 01:38:29,240 Speaker 1: to hold that against your book, and uh, and I'll 1409 01:38:29,240 --> 01:38:35,920 Speaker 1: give it a read. I appreciate that, and um, well, 1410 01:38:35,960 --> 01:38:41,400 Speaker 1: but the other thing I wanted This isn't um shooting 1411 01:38:41,439 --> 01:38:44,200 Speaker 1: my own horn here. I just it's just that that's 1412 01:38:44,240 --> 01:38:47,160 Speaker 1: why I do what I do. I didn't plan at first. 1413 01:38:47,200 --> 01:38:49,000 Speaker 1: I just wanted to go out and learn about wolverines 1414 01:38:49,040 --> 01:38:50,960 Speaker 1: or I like hanging out with the guys. They're all 1415 01:38:50,960 --> 01:38:55,920 Speaker 1: good woodsmen and you know, skiers and and uh, comfortable 1416 01:38:55,920 --> 01:39:00,280 Speaker 1: out in the remote areas. But part way through I realized, God, 1417 01:39:00,320 --> 01:39:02,840 Speaker 1: we don't. We just need to know so much more 1418 01:39:02,880 --> 01:39:07,200 Speaker 1: about them. We need to manage them differently. And and 1419 01:39:07,360 --> 01:39:12,120 Speaker 1: it's made a difference the age. The wildlife management agencies 1420 01:39:12,120 --> 01:39:14,599 Speaker 1: are paying much more attention now the wolverine than they 1421 01:39:14,600 --> 01:39:17,400 Speaker 1: did in the past, and the wolverines seem to be 1422 01:39:17,439 --> 01:39:20,960 Speaker 1: doing a bit better, and they're expanding their range over 1423 01:39:21,040 --> 01:39:24,679 Speaker 1: in Washington State down into Oregon all looks like. So 1424 01:39:25,560 --> 01:39:28,840 Speaker 1: that is really rewarding. That comes back to, you know, 1425 01:39:28,880 --> 01:39:31,960 Speaker 1: whether it's picking up trash or if you're a writer 1426 01:39:32,120 --> 01:39:36,400 Speaker 1: like me. You you point and wave and try to 1427 01:39:36,439 --> 01:39:40,080 Speaker 1: spur smarter people or more capable of people to take 1428 01:39:40,120 --> 01:39:45,759 Speaker 1: the next step. So anyway, thanks for asking that, and 1429 01:39:45,800 --> 01:39:48,479 Speaker 1: thanks for gosh, thanks for all the time. This has 1430 01:39:48,520 --> 01:39:51,800 Speaker 1: been great. I really enjoyed it me too, Doug. I hope, 1431 01:39:52,040 --> 01:39:55,120 Speaker 1: I hope we can chat again soon, and I know 1432 01:39:55,200 --> 01:39:57,920 Speaker 1: that our listeners will be looking forward to the next 1433 01:39:57,920 --> 01:40:00,880 Speaker 1: book from you whenever that comes down line too, so 1434 01:40:00,920 --> 01:40:03,400 Speaker 1: we'll be waiting on pins and needles. Get to work, Doug, 1435 01:40:05,240 --> 01:40:09,720 Speaker 1: thanks much, Thanks for another job. Okay, I'll get on it. 1436 01:40:10,040 --> 01:40:35,400 Speaker 1: Thanks again, and that is a rap. Thank you for 1437 01:40:35,439 --> 01:40:39,840 Speaker 1: tuning in. I can't recommend Doug's book enough. Pick up 1438 01:40:39,960 --> 01:40:43,760 Speaker 1: four Fifths a Grizzly. I highly highly recommend it, and 1439 01:40:44,080 --> 01:40:46,479 Speaker 1: it sounds like the Wolverine Way is is certainly worth 1440 01:40:46,479 --> 01:40:49,800 Speaker 1: our time too. And all that said, tune back in 1441 01:40:49,920 --> 01:40:52,960 Speaker 1: next week. We're diving in deep to a specific piece 1442 01:40:53,000 --> 01:40:56,400 Speaker 1: of conservation legislation that can make a big difference this 1443 01:40:56,479 --> 01:40:59,160 Speaker 1: year and next year and in the future, and we 1444 01:40:59,240 --> 01:41:02,800 Speaker 1: can help make that come to fruition. So until then, 1445 01:41:03,200 --> 01:41:06,080 Speaker 1: thanks for being here. Keep on doing good work out 1446 01:41:06,080 --> 01:41:08,800 Speaker 1: there for wild places and wildlife and until next time, 1447 01:41:09,320 --> 01:41:11,840 Speaker 1: stay wired to hunt.