1 00:00:08,920 --> 00:00:13,320 Speaker 1: This is the me Eater podcast coming at you shirtless, severely, 2 00:00:13,480 --> 00:00:17,600 Speaker 1: bug bitten, and in my case, underwear. Listening to podcast, 3 00:00:18,239 --> 00:00:22,079 Speaker 1: you can't predict anything brought to you by first Light. 4 00:00:22,200 --> 00:00:25,560 Speaker 1: When I'm hunting, I need gear that won't quit. First 5 00:00:25,680 --> 00:00:29,080 Speaker 1: Light builds, no compromise, gear that keeps me in the 6 00:00:29,120 --> 00:00:33,400 Speaker 1: field longer, no shortcuts, just gear that works. Check it 7 00:00:33,520 --> 00:00:37,000 Speaker 1: out at first light dot com. That's f I R 8 00:00:37,320 --> 00:00:44,080 Speaker 1: S T L I T E dot com. Hot Damn. 9 00:00:44,120 --> 00:00:48,400 Speaker 1: We're joining today by the one of the greatest guests, 10 00:00:48,520 --> 00:00:51,640 Speaker 1: oh man. I mean, for like in terms of just 11 00:00:51,680 --> 00:00:56,560 Speaker 1: consistent performances over the years, dude, one of the greatest 12 00:00:56,880 --> 00:01:00,240 Speaker 1: guests of all time. Greatest guests, I mean like I'm 13 00:01:00,280 --> 00:01:04,640 Speaker 1: not talking about just of Guess do you feel like 14 00:01:04,640 --> 00:01:05,800 Speaker 1: I'm buttering them up a little much? 15 00:01:06,200 --> 00:01:07,119 Speaker 2: You're going big. 16 00:01:07,280 --> 00:01:09,280 Speaker 1: I didn't expect it, dude, I don't know. 17 00:01:09,840 --> 00:01:13,440 Speaker 2: Normally he tries to knock you down. First builds you back. 18 00:01:15,680 --> 00:01:19,880 Speaker 1: If you took all the greatest guests, oh man, and 19 00:01:19,920 --> 00:01:26,080 Speaker 1: then had a showdown among those guests, yeah, Carl would 20 00:01:26,120 --> 00:01:30,039 Speaker 1: emerge top. Maybe not the top, but like he would. 21 00:01:30,240 --> 00:01:32,960 Speaker 2: He might be too nice to make it to the top. 22 00:01:33,000 --> 00:01:36,560 Speaker 1: He'd be up there, Carl malc wild like wildlife biologists, 23 00:01:40,200 --> 00:01:43,080 Speaker 1: long history at the every time you've ever been on, 24 00:01:43,160 --> 00:01:45,640 Speaker 1: I think you've been on. No, every time you've ever 25 00:01:45,640 --> 00:01:46,880 Speaker 1: been on, you've been on as a guy from the 26 00:01:46,880 --> 00:01:49,360 Speaker 1: four Service. That is true. That is true. 27 00:01:49,600 --> 00:01:52,000 Speaker 3: Yep, you and I started doing podcasts not long after 28 00:01:52,040 --> 00:01:56,320 Speaker 3: I joined Federal Service, which was back in late twenty eleven. 29 00:01:57,160 --> 00:01:59,680 Speaker 1: Okay, but Carl's got a very deep history and all 30 00:01:59,760 --> 00:02:03,920 Speaker 1: things outdoors. Grew up big time hunter, big time angler, 31 00:02:04,520 --> 00:02:10,480 Speaker 1: got into things like weird stuff man like, got into 32 00:02:11,560 --> 00:02:21,360 Speaker 1: doing deer work on uh, deer work on air airport runways. 33 00:02:21,800 --> 00:02:23,560 Speaker 3: Yeah, wildlife damage management. 34 00:02:23,600 --> 00:02:27,440 Speaker 1: Wildlife damage management, got so into muskrat trapp And I 35 00:02:27,440 --> 00:02:30,440 Speaker 1: don't know if you know this, brody. Nope, Phil probably 36 00:02:30,440 --> 00:02:33,600 Speaker 1: knows about this. Got so in the muskrat trap and 37 00:02:33,639 --> 00:02:36,800 Speaker 1: that he used to put in a bid to lock 38 00:02:36,960 --> 00:02:40,560 Speaker 1: down a chunk Oh, don't tell me. I can't think 39 00:02:40,560 --> 00:02:44,600 Speaker 1: of a chunk of marsh oricon. 40 00:02:44,320 --> 00:02:45,959 Speaker 2: Marsh's famous one. 41 00:02:46,200 --> 00:02:49,400 Speaker 1: Yeah in the world like some of the best muskrats 42 00:02:49,400 --> 00:02:53,240 Speaker 1: on the planet. He used to put in a bid 43 00:02:53,280 --> 00:02:56,240 Speaker 1: to get his own private chunk of the marsh, the 44 00:02:56,280 --> 00:03:00,600 Speaker 1: Horcon Marsh. During the during the mini boom, the mini 45 00:03:00,680 --> 00:03:03,240 Speaker 1: boom of like twenty eleven to twenty fourteen. 46 00:03:02,919 --> 00:03:05,840 Speaker 2: Did you have like trapping rivals, like trapping wars. 47 00:03:05,960 --> 00:03:08,320 Speaker 1: Yeah, that's its own section. Yeah, with my. 48 00:03:08,919 --> 00:03:12,080 Speaker 2: People like people like didn't come in. 49 00:03:12,000 --> 00:03:15,400 Speaker 3: And no, no, I mean the federal the federal agents 50 00:03:15,400 --> 00:03:16,200 Speaker 3: out there. 51 00:03:16,320 --> 00:03:18,959 Speaker 1: Stay close that microphils. Oh, you already got yours on. 52 00:03:19,040 --> 00:03:22,680 Speaker 3: The federal agents there do not mess around and these 53 00:03:22,680 --> 00:03:24,880 Speaker 3: boundaries are very clearly defined. That was with my dear 54 00:03:24,919 --> 00:03:26,240 Speaker 3: buddy Jacob Zeiski. 55 00:03:26,520 --> 00:03:28,480 Speaker 1: Will we get how many muskrats are you guys catching? 56 00:03:28,720 --> 00:03:30,880 Speaker 1: Hundreds hundreds? 57 00:03:30,960 --> 00:03:34,200 Speaker 3: Yeah, and uh during the mini boom, Yeah, because they 58 00:03:34,200 --> 00:03:36,080 Speaker 3: would do a sting out there, the federal agents would 59 00:03:36,080 --> 00:03:37,800 Speaker 3: do a sting out there. There's a highway that cuts 60 00:03:37,840 --> 00:03:42,360 Speaker 3: east west across Horicon Marsh, and there's so many muskrat 61 00:03:42,360 --> 00:03:45,840 Speaker 3: trappers going across this bridge. Federal agents would put a 62 00:03:45,920 --> 00:03:48,720 Speaker 3: road killed muskrat out there and see who had stopped 63 00:03:48,720 --> 00:03:51,000 Speaker 3: to pick it up, because that was one of one 64 00:03:51,040 --> 00:03:53,840 Speaker 3: of the ways that they could pinpoint folks who are 65 00:03:53,880 --> 00:03:56,000 Speaker 3: not following the rules because it was technically illegal to 66 00:03:56,040 --> 00:03:57,400 Speaker 3: gather up a road killed muskrat. 67 00:03:57,600 --> 00:04:00,560 Speaker 2: That seems kind of that seems kind cheap. 68 00:04:02,000 --> 00:04:03,800 Speaker 1: I knew, I knew, I knew what your sentiments would 69 00:04:03,800 --> 00:04:07,400 Speaker 1: be on that. But but the parks that situation. 70 00:04:07,520 --> 00:04:13,000 Speaker 3: Yeah, point point is they strictly enforced those boundaries. 71 00:04:13,600 --> 00:04:16,560 Speaker 1: Uh. I got a return to that in a minute. 72 00:04:16,560 --> 00:04:19,479 Speaker 1: Here to tell you something interesting. The reason Carl's what 73 00:04:19,520 --> 00:04:22,440 Speaker 1: we're here to talk about is rough grouse and also 74 00:04:22,880 --> 00:04:25,920 Speaker 1: and also American woodcut because Carl is now the VP 75 00:04:26,040 --> 00:04:28,679 Speaker 1: of Conservation at the Rough Grouse Society and the American 76 00:04:28,680 --> 00:04:30,839 Speaker 1: Woodcock Society. And what we're here to find out about 77 00:04:30,880 --> 00:04:35,719 Speaker 1: is this, are rough grouse screwed? If so, how screwed? 78 00:04:38,839 --> 00:04:44,440 Speaker 1: And what? Like? Why, what's it going to take? What 79 00:04:44,520 --> 00:04:47,560 Speaker 1: is the what is the future of the bird in America? 80 00:04:50,560 --> 00:04:52,480 Speaker 1: Before we're going to get into all that. Before we do, 81 00:04:52,560 --> 00:04:55,480 Speaker 1: I'll tell you a funny story. My friend Stu, who's 82 00:04:55,480 --> 00:04:57,200 Speaker 1: a trapper and saw the Illinois. He's been on the 83 00:04:57,200 --> 00:05:01,280 Speaker 1: show Stu Miller's Stu Miller Coon Creek Outdoor. He makes 84 00:05:01,279 --> 00:05:03,440 Speaker 1: some of the best if you want to see good 85 00:05:04,320 --> 00:05:08,799 Speaker 1: fur handling information online, I don't think anybody has better 86 00:05:08,839 --> 00:05:12,560 Speaker 1: for handling information than Stu Miller from Coon Creek Outdoors. 87 00:05:13,279 --> 00:05:15,159 Speaker 1: Like if you were like how do you skin and 88 00:05:15,200 --> 00:05:19,159 Speaker 1: flash and stretch and otter raccoon, kyote whatever. Stew Is 89 00:05:20,400 --> 00:05:25,040 Speaker 1: has a phenomenal series on YouTube. Anyhow, he was trapping 90 00:05:25,040 --> 00:05:27,000 Speaker 1: in Kansas. You know, skunks are real high right now? 91 00:05:28,520 --> 00:05:33,080 Speaker 1: All he wants to tail? Interesting, Okay, Stu said when 92 00:05:33,080 --> 00:05:36,400 Speaker 1: he was in Kansas, he was seeing dead skunks on 93 00:05:36,480 --> 00:05:38,880 Speaker 1: the side of the road. Road kills skunks on the 94 00:05:38,880 --> 00:05:42,640 Speaker 1: side of the road minus their tail. Now, everybody's used 95 00:05:42,680 --> 00:05:44,600 Speaker 1: to seeing deer on the side of the road somehow 96 00:05:44,680 --> 00:05:48,800 Speaker 1: minus their head, but skunk's minus their tail on the side. 97 00:05:48,800 --> 00:05:50,280 Speaker 2: I just saw a nice skunk on the side of 98 00:05:50,279 --> 00:05:51,120 Speaker 2: the road yesterday. 99 00:05:51,200 --> 00:05:54,000 Speaker 1: Because it could be thirty bucks laying they want the 100 00:05:54,040 --> 00:05:56,800 Speaker 1: tailor bill and if you cut the tail and you 101 00:05:56,880 --> 00:05:58,679 Speaker 1: learn what you're doing, you can cut it without getting 102 00:05:58,680 --> 00:06:02,479 Speaker 1: into the sacks. How many guys hop out and cut 103 00:06:02,480 --> 00:06:05,719 Speaker 1: a little too close to the base, yeah, and have 104 00:06:05,920 --> 00:06:08,360 Speaker 1: just a mess that they are not was it worth 105 00:06:08,360 --> 00:06:15,080 Speaker 1: the thirty bucks? Ready to deal with a right grade? Like? Like, 106 00:06:15,160 --> 00:06:18,919 Speaker 1: how are just before we get in all the details 107 00:06:18,960 --> 00:06:24,680 Speaker 1: like the in your organization? What is up with rough 108 00:06:24,720 --> 00:06:28,440 Speaker 1: grouse right now? I mean, why are we seeing like 109 00:06:28,440 --> 00:06:31,840 Speaker 1: like there's states that had rough grouse seasons that don't 110 00:06:31,839 --> 00:06:34,719 Speaker 1: have rough grouse seasons, like restrictions are down. Yeah, it 111 00:06:34,839 --> 00:06:36,680 Speaker 1: just doesn't you know, it just doesn't feel like we're 112 00:06:36,680 --> 00:06:40,279 Speaker 1: in the good old days of rough grouse hunting. That 113 00:06:40,360 --> 00:06:41,640 Speaker 1: is true much of the country. 114 00:06:41,960 --> 00:06:43,920 Speaker 3: That is true, and I think, you know, as we 115 00:06:43,960 --> 00:06:46,800 Speaker 3: get into the topic at hand, I want to just 116 00:06:46,880 --> 00:06:48,320 Speaker 3: kind of like zoom back, and we're going to be 117 00:06:48,320 --> 00:06:51,760 Speaker 3: talking about rough grouse in American woodcock over the course 118 00:06:51,800 --> 00:06:53,520 Speaker 3: of this conversation, but I really want to frame it 119 00:06:53,560 --> 00:06:55,880 Speaker 3: in terms of what's going on with forests and forest 120 00:06:55,920 --> 00:06:59,880 Speaker 3: habitat and kind of the history of these forested ecosystems 121 00:07:00,120 --> 00:07:05,640 Speaker 3: focus primarily east of the Mississippi River, which is sort 122 00:07:05,640 --> 00:07:10,480 Speaker 3: of the core of what we think about being habitat 123 00:07:10,480 --> 00:07:13,240 Speaker 3: for rough grouse and American woodcock and the upland bird 124 00:07:13,280 --> 00:07:17,000 Speaker 3: hunting tradition that goes with it. Recognizing there's certainly plenty 125 00:07:17,040 --> 00:07:19,560 Speaker 3: of forest grouse west of the Mississippi as well, we 126 00:07:19,560 --> 00:07:21,840 Speaker 3: can talk about that too, But I think the history 127 00:07:21,840 --> 00:07:25,320 Speaker 3: of these forests and what the status of rough grouse 128 00:07:25,360 --> 00:07:29,880 Speaker 3: in American woodcock today tell us about the status of 129 00:07:29,920 --> 00:07:34,000 Speaker 3: these forests is the most important part of this conversation 130 00:07:34,080 --> 00:07:39,440 Speaker 3: because I think, you know, I'm somebody who loves these birds. 131 00:07:39,440 --> 00:07:41,800 Speaker 3: There's plenty of people out there who do, but there's 132 00:07:41,840 --> 00:07:45,360 Speaker 3: a lot more people that really appreciate forested ecosystems. And 133 00:07:45,480 --> 00:07:47,800 Speaker 3: being able to understand the dynamics of those places and 134 00:07:47,880 --> 00:07:51,200 Speaker 3: understand what we can and should be doing differently to 135 00:07:51,240 --> 00:07:52,960 Speaker 3: make sure that we leave these places better than we 136 00:07:53,040 --> 00:07:55,440 Speaker 3: found them is a much bigger and deeper and more 137 00:07:55,480 --> 00:07:59,000 Speaker 3: significant conversation than just what's the letter grade of current 138 00:07:59,040 --> 00:08:02,280 Speaker 3: status for rough grouse American woodcock? And those two things 139 00:08:02,280 --> 00:08:04,600 Speaker 3: are inextricably linked, So I really want to anchor into 140 00:08:05,200 --> 00:08:07,200 Speaker 3: kind of the history and status of forests. But to 141 00:08:07,200 --> 00:08:08,320 Speaker 3: answer your question. 142 00:08:08,200 --> 00:08:12,559 Speaker 1: Well, I want to say that opening bit, were you saying, 143 00:08:12,680 --> 00:08:17,720 Speaker 1: we can't talk about rough grouse without talking about forest 144 00:08:17,760 --> 00:08:21,000 Speaker 1: and forest health. Yeah. Now, if I had sat down 145 00:08:21,040 --> 00:08:22,640 Speaker 1: on my chair and the first thing out of your 146 00:08:22,640 --> 00:08:25,880 Speaker 1: mouth was we can't talk about rough grouse without talking 147 00:08:25,880 --> 00:08:31,360 Speaker 1: about mosquitoes and West Noile virus, or we can't talk 148 00:08:31,400 --> 00:08:35,079 Speaker 1: about rough grouse without talking about avian influenza, like, I 149 00:08:35,080 --> 00:08:36,199 Speaker 1: wouldn't have been surprised. 150 00:08:36,760 --> 00:08:38,640 Speaker 3: Well, those things, we can talk about all those things, 151 00:08:38,679 --> 00:08:39,840 Speaker 3: And I thought you cheat. 152 00:08:39,640 --> 00:08:41,800 Speaker 1: It up like it's we're talking about we're talking about 153 00:08:41,800 --> 00:08:43,120 Speaker 1: We're talking about forests for sure. 154 00:08:43,120 --> 00:08:44,800 Speaker 3: And I love the fact that you're bringing up you're 155 00:08:44,800 --> 00:08:47,719 Speaker 3: bringing up west now virus, You're bringing up avian influenza. 156 00:08:47,800 --> 00:08:49,640 Speaker 3: West now virus, by the way, a way bigger deal 157 00:08:49,720 --> 00:08:54,320 Speaker 3: for rough grouse. And I want to talk a little 158 00:08:54,320 --> 00:08:57,880 Speaker 3: bit about the sort of moderating or mediating effect that 159 00:08:57,920 --> 00:09:01,320 Speaker 3: good habitat can have on helping a species like rough 160 00:09:01,320 --> 00:09:09,600 Speaker 3: grouse while facing a stressor like an expanding disease, which 161 00:09:09,640 --> 00:09:14,000 Speaker 3: west nolvirus is. And there's some really interesting interconnections between 162 00:09:14,800 --> 00:09:19,280 Speaker 3: habitat rough grouse abundance and distribution, and climate as well. 163 00:09:19,360 --> 00:09:19,959 Speaker 1: It's one of the. 164 00:09:19,920 --> 00:09:26,040 Speaker 3: Really great examples of how shifting climate can influence a 165 00:09:26,120 --> 00:09:30,440 Speaker 3: disease vector that has very clear ramifications for the status 166 00:09:30,880 --> 00:09:33,440 Speaker 3: of a species that many people care a lot about. 167 00:09:34,240 --> 00:09:39,520 Speaker 3: But at the bottom line, the story of how these 168 00:09:39,520 --> 00:09:42,600 Speaker 3: forests have changed, and I think even just the misconceptions 169 00:09:42,600 --> 00:09:44,080 Speaker 3: of what these forests are. 170 00:09:45,480 --> 00:09:46,160 Speaker 1: Is something that. 171 00:09:48,360 --> 00:09:50,400 Speaker 3: I think we can turn some light bulbs on for folks. 172 00:09:50,520 --> 00:09:52,800 Speaker 2: Can I tee you up like a lot with this 173 00:09:52,840 --> 00:09:56,000 Speaker 2: whole thing about like going back in time, Like, yeah, 174 00:09:56,040 --> 00:09:59,400 Speaker 2: why was it because like rough grouse, Like I feel 175 00:09:59,400 --> 00:10:03,000 Speaker 2: like the pin of their like popularity and like king 176 00:10:03,040 --> 00:10:05,720 Speaker 2: of the forest or you know, their nickname and all that. 177 00:10:05,800 --> 00:10:09,800 Speaker 2: Like that's like in the past, that reputation that they had. 178 00:10:09,840 --> 00:10:12,640 Speaker 2: I don't think it's like a thing with hunters like 179 00:10:12,720 --> 00:10:15,600 Speaker 2: it used to be. Like why was it like when 180 00:10:15,640 --> 00:10:19,079 Speaker 2: my dad was like he was a big rough grouse hunter, 181 00:10:19,200 --> 00:10:21,559 Speaker 2: Like and why was it so good in the seventies 182 00:10:22,600 --> 00:10:24,920 Speaker 2: when he was out there in Pennsylvania and there was 183 00:10:25,000 --> 00:10:26,360 Speaker 2: just grouse everywhere? 184 00:10:26,400 --> 00:10:31,079 Speaker 1: Yeah, like ammo Ads shot Ads were like the featured kidder. 185 00:10:31,559 --> 00:10:35,080 Speaker 1: It was like you go back far, no cottontail rabbits 186 00:10:35,080 --> 00:10:38,040 Speaker 1: and stuff. But there's a point where like ammo Ads 187 00:10:38,200 --> 00:10:40,360 Speaker 1: was like grouse the king of the game bird, which 188 00:10:40,480 --> 00:10:43,120 Speaker 1: which I was raised to call pats Yeah partridge. 189 00:10:43,160 --> 00:10:45,280 Speaker 3: Yeah, there's a good debate. We grew up just I 190 00:10:45,320 --> 00:10:47,120 Speaker 3: was a little bit north in the northern lord. 191 00:10:47,400 --> 00:10:52,319 Speaker 1: Within that, like what is within that you got you 192 00:10:52,360 --> 00:10:53,920 Speaker 1: probably got a way to hit this, but like what 193 00:10:54,040 --> 00:10:56,320 Speaker 1: is the sort of timeline? And then also where are 194 00:10:56,360 --> 00:10:59,680 Speaker 1: we talking about? That might be the best thing, just 195 00:11:00,120 --> 00:11:03,440 Speaker 1: real quick, Yeah, where are we talking about? Yeah? 196 00:11:03,480 --> 00:11:09,520 Speaker 3: So I think focusing the conversation on the midwestern United States, 197 00:11:09,679 --> 00:11:14,600 Speaker 3: down into Ohio, Indiana, across into the mid Atlantic and 198 00:11:14,679 --> 00:11:17,800 Speaker 3: up into the Northeast main continues to have tremendous grouse hunting, 199 00:11:18,400 --> 00:11:20,520 Speaker 3: and down into the Appalachian Mountains as well. You know, 200 00:11:20,520 --> 00:11:24,080 Speaker 3: a lot of people associate rough grouse rightly so with 201 00:11:24,200 --> 00:11:26,800 Speaker 3: the presence of aspen. Aspen's one of those species for 202 00:11:27,720 --> 00:11:31,840 Speaker 3: grouse that provides tremendous cover and also availability of food. 203 00:11:32,679 --> 00:11:36,880 Speaker 3: But if you start looking at more southern grouse habitat essentially, 204 00:11:36,960 --> 00:11:40,079 Speaker 3: if you have good structure, if you have high stem densities, 205 00:11:40,080 --> 00:11:42,720 Speaker 3: and if you have the sun hitting the forest floor 206 00:11:43,320 --> 00:11:48,760 Speaker 3: and promoting robust availability of various massed species, you can 207 00:11:48,800 --> 00:11:51,320 Speaker 3: have grouse all the way down into northern Georgia. But 208 00:11:51,440 --> 00:11:54,920 Speaker 3: the general storyline, Brody, We could talk about Pennsylvania a 209 00:11:54,960 --> 00:11:57,880 Speaker 3: little bit as an example where just in the span 210 00:11:57,960 --> 00:12:02,320 Speaker 3: of the last handful of decades, any states, particularly at 211 00:12:02,320 --> 00:12:06,800 Speaker 3: the southern extent of their range, are seeing grouse decline rapidly, 212 00:12:08,520 --> 00:12:10,920 Speaker 3: and it's noteworthy. You know, a lot of folks understand 213 00:12:11,000 --> 00:12:14,880 Speaker 3: the dynamics around sage grouse decline. Like sage grouse get 214 00:12:14,920 --> 00:12:19,920 Speaker 3: a lot of attention rightly so. Sage grouse habitat sagebrush 215 00:12:19,960 --> 00:12:23,720 Speaker 3: ecosystems are tremendously imperiled for a variety of reasons. That 216 00:12:23,840 --> 00:12:27,800 Speaker 3: story is out there, and it's noteworthy to me that 217 00:12:27,880 --> 00:12:30,280 Speaker 3: you have this species. To your point, Brody, that like 218 00:12:30,679 --> 00:12:36,240 Speaker 3: in your dad's generation in Art, in our father's generations, 219 00:12:37,000 --> 00:12:38,559 Speaker 3: grouse were. 220 00:12:38,960 --> 00:12:39,640 Speaker 1: A big deal. 221 00:12:40,040 --> 00:12:45,840 Speaker 3: And I think the simplest and best answer to why 222 00:12:45,880 --> 00:12:48,800 Speaker 3: that's not the case is that fewer and fewer people 223 00:12:48,880 --> 00:12:53,280 Speaker 3: have access to robust populations. Now where I spend a 224 00:12:53,320 --> 00:12:55,920 Speaker 3: lot of my time grouse and woodcock hunting, which is 225 00:12:55,960 --> 00:13:00,640 Speaker 3: across the northern tier of Michigan, Wisconsin, and Minnesota. We 226 00:13:00,679 --> 00:13:03,680 Speaker 3: are still in the good old days. It's phenomenal and 227 00:13:03,720 --> 00:13:06,360 Speaker 3: I had great, rough. 228 00:13:06,240 --> 00:13:09,080 Speaker 1: Good old days relative even to the good old days. 229 00:13:08,960 --> 00:13:12,520 Speaker 3: Yeah, I mean, and there's a cyclical dynamic at play 230 00:13:12,800 --> 00:13:18,480 Speaker 3: with grouse woodcock, So just a sort of if we 231 00:13:18,559 --> 00:13:20,920 Speaker 3: step back and look at the big picture, the general 232 00:13:20,960 --> 00:13:23,600 Speaker 3: story is one of decline for both of these species, 233 00:13:24,080 --> 00:13:26,720 Speaker 3: having nothing to do with hunting pressure, having everything to 234 00:13:26,720 --> 00:13:29,480 Speaker 3: do with habitat and also some of these other variables, 235 00:13:29,520 --> 00:13:32,560 Speaker 3: Like we can talk about the disease issues, but habitat 236 00:13:32,640 --> 00:13:38,160 Speaker 3: is the bottom line, and at the southern extent of 237 00:13:38,200 --> 00:13:41,720 Speaker 3: their range where we start getting into some of the 238 00:13:42,240 --> 00:13:45,960 Speaker 3: more acute issues with disease dynamics, the influence of climate. 239 00:13:46,040 --> 00:13:49,679 Speaker 3: So Pennsylvania, for example, there's a really important elevational gradient 240 00:13:49,760 --> 00:13:52,839 Speaker 3: at play here where you know, you can think about 241 00:13:52,840 --> 00:14:00,880 Speaker 3: grouse contracting northward, so sort of retreating from a latitude perspective. 242 00:14:00,880 --> 00:14:04,000 Speaker 3: But then there's all this also, this elevational retreat that's 243 00:14:04,000 --> 00:14:08,040 Speaker 3: occurring where grouse are being pushed higher and higher is 244 00:14:08,080 --> 00:14:12,439 Speaker 3: one of the same, right right, exactly, because those climatic 245 00:14:12,520 --> 00:14:19,120 Speaker 3: variables are influencing the availability of habitat, and in the 246 00:14:19,160 --> 00:14:23,160 Speaker 3: case of West Nile virus, the presence of the mosquitos 247 00:14:23,160 --> 00:14:28,120 Speaker 3: that carry West Nile is influenced by longer, wetter summers, 248 00:14:28,880 --> 00:14:32,360 Speaker 3: so you have the disease sort of marching up slope 249 00:14:32,520 --> 00:14:34,000 Speaker 3: as climates continue. 250 00:14:34,240 --> 00:14:39,760 Speaker 2: You mentioned aspens for grouse, Like can you give people 251 00:14:39,840 --> 00:14:43,640 Speaker 2: like what is like the ideal chunk of rough grouse habitat? 252 00:14:43,680 --> 00:14:46,840 Speaker 2: What's it look like? Because you hear like early success, Yeah, 253 00:14:46,880 --> 00:14:50,160 Speaker 2: a lot like things like that, Like if people aren't 254 00:14:50,800 --> 00:14:53,920 Speaker 2: seeing them or around them as much anymore, Like what 255 00:14:54,000 --> 00:14:56,800 Speaker 2: does a good chunk of grouse habitat look like Yeah. 256 00:14:56,840 --> 00:14:59,480 Speaker 3: If I have one word to answer that question, the 257 00:14:59,480 --> 00:15:05,880 Speaker 3: answers young, young forest habitat super important. Yes, Early successional 258 00:15:05,920 --> 00:15:07,800 Speaker 3: habitat is very important in a lot of the work 259 00:15:07,800 --> 00:15:09,800 Speaker 3: that we do at the rough Grouse Society. In American 260 00:15:09,800 --> 00:15:12,760 Speaker 3: Woodcock Society is focused on trying to get more early 261 00:15:12,800 --> 00:15:16,960 Speaker 3: successional habitat on the ground. The reason for that is 262 00:15:16,960 --> 00:15:19,840 Speaker 3: not because early successional habitat is the only thing that matters. 263 00:15:19,840 --> 00:15:22,160 Speaker 3: The reason for that is that we are limited in 264 00:15:22,240 --> 00:15:25,760 Speaker 3: early successional habitat. We're an organization that's very interested in 265 00:15:26,480 --> 00:15:30,480 Speaker 3: overall forest health, and in terms of these eastern forests, 266 00:15:31,040 --> 00:15:33,640 Speaker 3: the bottom line there is diversity of habitat. We want 267 00:15:33,920 --> 00:15:38,400 Speaker 3: young forest, we want middle aged forest, we want old forest, 268 00:15:38,480 --> 00:15:42,320 Speaker 3: and we want these things in a juxtaposition where in 269 00:15:42,440 --> 00:15:46,160 Speaker 3: individual grouse, because these birds have a very strong site fidelity, 270 00:15:46,200 --> 00:15:49,040 Speaker 3: they do not travel to great distances, but having the 271 00:15:49,240 --> 00:15:51,840 Speaker 3: access to these different age classes over the course of 272 00:15:51,840 --> 00:15:54,760 Speaker 3: their life cycle for foraging, for raising their broods, for 273 00:15:54,920 --> 00:16:01,760 Speaker 3: escaping predators. It's that availability of diverse habitat within a 274 00:16:01,800 --> 00:16:04,840 Speaker 3: small area and being able to maintain that over time 275 00:16:04,960 --> 00:16:07,920 Speaker 3: is a huge part of the challenge. Right, So if 276 00:16:07,960 --> 00:16:11,000 Speaker 3: we go back, if we go back and think about 277 00:16:11,680 --> 00:16:16,040 Speaker 3: what these forests were like centuries ago, this idea of 278 00:16:16,080 --> 00:16:21,080 Speaker 3: diversity is critically important, and I think one of the 279 00:16:21,880 --> 00:16:24,400 Speaker 3: I'll give you two misconceptions when it comes to forests. 280 00:16:25,800 --> 00:16:28,040 Speaker 3: Number one, I think a lot of people when they 281 00:16:28,040 --> 00:16:31,400 Speaker 3: step into the forests, like where we grew up, Steve, 282 00:16:31,440 --> 00:16:35,240 Speaker 3: or where you grew up Brody, Michigan, Pennsylvania, you walk 283 00:16:35,240 --> 00:16:42,040 Speaker 3: into the woods and it's this peaceful, serene, beautiful place, 284 00:16:43,080 --> 00:16:48,840 Speaker 3: and it's easy to fall into the trap of failing 285 00:16:48,880 --> 00:16:53,080 Speaker 3: to recognize the complexity, for one, the interconnections among different 286 00:16:53,120 --> 00:16:57,680 Speaker 3: species in that system, and then also the fact that 287 00:16:57,760 --> 00:17:02,000 Speaker 3: there is a constant battle playing out among all of 288 00:17:02,040 --> 00:17:04,960 Speaker 3: these species at a time scale that makes it hard 289 00:17:04,960 --> 00:17:13,040 Speaker 3: for us to perceive. So everybody in the forest, woody vegetation, grasses, forbs, shrubs, 290 00:17:13,560 --> 00:17:17,040 Speaker 3: all the plants from the understory to the canopy are 291 00:17:17,600 --> 00:17:20,440 Speaker 3: duking it out in real time for access to nutrients, 292 00:17:20,520 --> 00:17:27,600 Speaker 3: access to sunlight. And historically in these forests there were 293 00:17:27,640 --> 00:17:30,920 Speaker 3: a lot of drivers of disturbance that are gone now. 294 00:17:31,040 --> 00:17:32,320 Speaker 3: And this is one of the things that I think 295 00:17:32,400 --> 00:17:39,760 Speaker 3: is both most interesting and also saddest to contemplate when 296 00:17:39,800 --> 00:17:41,840 Speaker 3: you think about the forests of the eastern United States, 297 00:17:41,840 --> 00:17:45,200 Speaker 3: and again I'm thinking like east of the Mississippi River. 298 00:17:45,440 --> 00:17:50,560 Speaker 3: And when the first European settlers arrived on the East coast, 299 00:17:51,200 --> 00:17:58,679 Speaker 3: they did not arrive to some massive, homogeneous, pristine, untouched forest. 300 00:17:59,400 --> 00:18:02,320 Speaker 3: What they arrived two was a very complex system that 301 00:18:02,480 --> 00:18:08,479 Speaker 3: had a tremendous diversity of drivers influencing the structure of 302 00:18:08,520 --> 00:18:13,840 Speaker 3: that forest, and it included wildlife that we all I 303 00:18:13,840 --> 00:18:16,000 Speaker 3: think we can think about these species in their own right, 304 00:18:16,040 --> 00:18:19,000 Speaker 3: but we don't often think about them as drivers of ecosystems. 305 00:18:19,680 --> 00:18:25,240 Speaker 3: So species like elk, species like bison, species like beavers, 306 00:18:26,000 --> 00:18:29,560 Speaker 3: species like passenger pigeons, and also the people who are 307 00:18:29,560 --> 00:18:34,800 Speaker 3: already here burning these landscapes to benefit those species I 308 00:18:34,880 --> 00:18:40,960 Speaker 3: just mentioned, particularly elk and bison, but maintaining the landscape 309 00:18:41,040 --> 00:18:44,080 Speaker 3: in a way that made their lives possible. So you 310 00:18:44,119 --> 00:18:49,280 Speaker 3: have all of these interesting connections between those inhabitants of 311 00:18:49,560 --> 00:18:52,800 Speaker 3: the North American continent that have been tremendously disrupted. So 312 00:18:53,080 --> 00:18:57,600 Speaker 3: elk largely gone from the east, although amazing work being done. 313 00:18:57,880 --> 00:19:00,000 Speaker 3: Of course, we're all familiar with Rocky Mountain, Elk Foundation 314 00:19:00,119 --> 00:19:03,400 Speaker 3: and the work that they're doing with state agency partners 315 00:19:03,400 --> 00:19:05,960 Speaker 3: to bring elk back. That's phenomenal. RF is a great 316 00:19:05,960 --> 00:19:09,040 Speaker 3: partner of ours, by the way, a lot of partnership 317 00:19:09,080 --> 00:19:11,720 Speaker 3: opportunities there. We're talking about el ca habitat and grouse 318 00:19:11,720 --> 00:19:18,119 Speaker 3: habitat in the same breath, Bison gone, passenger pigeons gone 319 00:19:18,200 --> 00:19:22,719 Speaker 3: gone right, and beaver's like nothing like they were at 320 00:19:22,760 --> 00:19:28,320 Speaker 3: European contact with this continent, and then indigenous fire largely gone. 321 00:19:28,400 --> 00:19:33,360 Speaker 3: So these five drivers that created all of this heterogeneity, 322 00:19:33,560 --> 00:19:38,159 Speaker 3: all of this diversity in structure, and the one that 323 00:19:38,200 --> 00:19:41,119 Speaker 3: I really wanted, like we can if any of those geeks, 324 00:19:41,240 --> 00:19:42,480 Speaker 3: either of you guys out and you want to dig 325 00:19:42,520 --> 00:19:44,800 Speaker 3: deeper into any of them, we can dig deeper. But 326 00:19:44,840 --> 00:19:47,000 Speaker 3: I want to talk about passenger pigeons just for a minute, 327 00:19:47,040 --> 00:19:50,160 Speaker 3: because I think a lot of folks, you know, we all, 328 00:19:50,640 --> 00:19:54,240 Speaker 3: if you're a nerd around conservation and wildlife in America, 329 00:19:55,080 --> 00:19:58,000 Speaker 3: we all know the stories of like the sky blackening 330 00:19:58,040 --> 00:20:01,119 Speaker 3: and the rivers of birds, and John James Audubon and 331 00:20:01,160 --> 00:20:03,919 Speaker 3: others trying to come up with estimates of the billions 332 00:20:03,960 --> 00:20:07,600 Speaker 3: of passenger pigeons, like one in four land birds in 333 00:20:07,600 --> 00:20:10,199 Speaker 3: North America being a passenger pigeon, right, just like you 334 00:20:10,240 --> 00:20:12,920 Speaker 3: can't wrap your head around it. Those are all stories 335 00:20:12,960 --> 00:20:16,879 Speaker 3: that are really familiar to us. But I want to 336 00:20:16,960 --> 00:20:23,920 Speaker 3: flag one of the most sort of haunting books that 337 00:20:24,000 --> 00:20:26,640 Speaker 3: folks probably haven't heard of, written by a guy named 338 00:20:26,640 --> 00:20:30,480 Speaker 3: Peter Matheson, called Wildlife in America. And in that book, 339 00:20:30,520 --> 00:20:35,600 Speaker 3: Matheson does a phenomenal job of capturing the stories in 340 00:20:35,800 --> 00:20:42,639 Speaker 3: just the most haunting and poetic language around the loss 341 00:20:42,680 --> 00:20:44,920 Speaker 3: of wildlife on this continent over the span of the 342 00:20:45,000 --> 00:20:48,800 Speaker 3: last handful of centuries. And one of the things that's 343 00:20:49,240 --> 00:20:52,120 Speaker 3: most memorable about that book for me is the way 344 00:20:52,119 --> 00:20:54,160 Speaker 3: that he talks about the passenger pigeons and them as 345 00:20:54,200 --> 00:20:56,760 Speaker 3: a driver of disturbance. And this is the important part. 346 00:20:57,880 --> 00:21:00,639 Speaker 3: And there are stories like up around Potoski Mischig of 347 00:21:00,680 --> 00:21:03,000 Speaker 3: these that's what the last big shoot was well, and 348 00:21:03,359 --> 00:21:10,160 Speaker 3: these nesting events that would span for tens of miles 349 00:21:10,200 --> 00:21:15,760 Speaker 3: in length and multiple miles in width where the forest 350 00:21:16,000 --> 00:21:21,679 Speaker 3: was absolutely inundated and in some cases decimated by the 351 00:21:21,680 --> 00:21:25,000 Speaker 3: presence of nesting passenger pigeons, so they would come through. 352 00:21:25,160 --> 00:21:27,280 Speaker 3: And these were birds that were heavily dependent on mast 353 00:21:27,680 --> 00:21:34,400 Speaker 3: species like oak species like beach species like American chestnut, 354 00:21:34,560 --> 00:21:37,040 Speaker 3: And there's a whole other story of loss right the 355 00:21:37,040 --> 00:21:39,880 Speaker 3: loss of chestnut to the blight starting in nineteen oh four. 356 00:21:41,200 --> 00:21:43,320 Speaker 3: But the passenger pigeons, they'd find a place where they 357 00:21:43,960 --> 00:21:46,399 Speaker 3: had the resources that they would need to nest. They 358 00:21:46,440 --> 00:21:51,199 Speaker 3: had the structural support with the tree canopy, they had 359 00:21:51,240 --> 00:21:56,200 Speaker 3: availability of masts, et cetera. And they would they would 360 00:21:56,320 --> 00:22:03,080 Speaker 3: arrive in such numbers that they would physically level portions 361 00:22:03,119 --> 00:22:05,440 Speaker 3: of the forest. Like if you were out there during 362 00:22:05,440 --> 00:22:09,000 Speaker 3: one of these nesting events, you would just hear from 363 00:22:09,119 --> 00:22:12,879 Speaker 3: miles in any direction the sound of branches breaking, of 364 00:22:12,920 --> 00:22:17,600 Speaker 3: trees falling, of guano raining down to the point where 365 00:22:17,600 --> 00:22:22,240 Speaker 3: the forest floor would have inches of accumulated droppings that 366 00:22:22,280 --> 00:22:24,560 Speaker 3: would be so high in nutrient content that that would 367 00:22:24,560 --> 00:22:27,800 Speaker 3: have its own set of effects on vegetation, like basically 368 00:22:27,960 --> 00:22:32,080 Speaker 3: killing the understory because it was so nutrient rich with 369 00:22:32,119 --> 00:22:37,800 Speaker 3: all this pigeon guano raining down, And the birds themselves 370 00:22:37,920 --> 00:22:41,240 Speaker 3: would reset succession in those places where they would nest. 371 00:22:41,920 --> 00:22:43,800 Speaker 3: The next year, they're not coming back to nest in 372 00:22:43,840 --> 00:22:47,800 Speaker 3: that same spot again, but years down the line, those 373 00:22:47,840 --> 00:22:52,080 Speaker 3: systems would recover and promote the availability of the very 374 00:22:52,359 --> 00:22:55,840 Speaker 3: habitat features that the passenger pigeons need to thrive. So 375 00:22:55,880 --> 00:22:58,360 Speaker 3: if you step back and think about the continental scale 376 00:22:59,119 --> 00:23:02,679 Speaker 3: of that species interacting with the land, it's not unlike 377 00:23:02,720 --> 00:23:05,760 Speaker 3: any a beaver or any other ecosystem engineer, where they're 378 00:23:05,880 --> 00:23:09,960 Speaker 3: influencing their own habitat in a way that benefits themselves 379 00:23:10,000 --> 00:23:14,760 Speaker 3: over time, over generations, right, but also influences the structure 380 00:23:15,760 --> 00:23:18,359 Speaker 3: to the advantage of all of these other plant and 381 00:23:18,400 --> 00:23:22,080 Speaker 3: animal species that occupy that habitat. And that's just one 382 00:23:22,160 --> 00:23:24,680 Speaker 3: of the five examples that I gave you. You know, 383 00:23:24,720 --> 00:23:27,159 Speaker 3: we can talk about bison and they're wallowing, or the 384 00:23:29,160 --> 00:23:32,800 Speaker 3: fact that they established these movement corridors that were the 385 00:23:32,800 --> 00:23:35,239 Speaker 3: precursors to a lot of our roads and highways, right 386 00:23:36,080 --> 00:23:40,160 Speaker 3: roads exactly the traces right the buffalo traces they would leave. 387 00:23:40,640 --> 00:23:46,120 Speaker 3: They would leave a path of disruption. And so this idea, 388 00:23:46,400 --> 00:23:48,520 Speaker 3: and this is one of the biggest challenges if you 389 00:23:48,520 --> 00:23:51,159 Speaker 3: think about current conditioning these systems now and trying to 390 00:23:51,160 --> 00:23:53,159 Speaker 3: get good habitat back on the ground for species like 391 00:23:53,240 --> 00:23:57,800 Speaker 3: rough grouse in American woodcock, there's this misconception of what 392 00:23:57,960 --> 00:24:02,760 Speaker 3: forests are which I touched on, like failing to see 393 00:24:02,800 --> 00:24:05,520 Speaker 3: the fact that all of these species are out there, 394 00:24:05,640 --> 00:24:09,440 Speaker 3: that the vegetation is battling for resources in real time, 395 00:24:11,160 --> 00:24:15,159 Speaker 3: and the reality that for thousands of years, for hundreds 396 00:24:15,200 --> 00:24:20,520 Speaker 3: of thousands of years prior to European settlement of this continent, 397 00:24:21,720 --> 00:24:27,240 Speaker 3: these forests were tremendously disrupted by a whole host of 398 00:24:27,320 --> 00:24:33,080 Speaker 3: drivers that have been eliminated from the system. So what 399 00:24:33,119 --> 00:24:38,240 Speaker 3: that means in terms of current context is if we're 400 00:24:38,240 --> 00:24:41,480 Speaker 3: taking a hands off approach to these systems, we are 401 00:24:41,560 --> 00:24:45,400 Speaker 3: starving them of the things that they need, the things 402 00:24:45,400 --> 00:24:49,080 Speaker 3: that the forest needs to provide the types of habitat 403 00:24:49,160 --> 00:24:52,160 Speaker 3: and diversity, not just for rough grouse in American woodcock, 404 00:24:52,200 --> 00:24:54,760 Speaker 3: as much as I love those two species, but for 405 00:24:54,840 --> 00:24:59,600 Speaker 3: a whole host of plant and animal species. And this 406 00:24:59,680 --> 00:25:04,879 Speaker 3: is why if we look at land bird conservation more broadly, 407 00:25:04,880 --> 00:25:07,040 Speaker 3: I've got to copy of the twenty twenty five US 408 00:25:07,280 --> 00:25:09,080 Speaker 3: State of the Birds Report here in front of me. 409 00:25:10,400 --> 00:25:16,200 Speaker 3: Any bird species that depends upon that diversity of habitat 410 00:25:16,359 --> 00:25:19,840 Speaker 3: in a forested context is struggling, like we are seeing 411 00:25:20,160 --> 00:25:22,879 Speaker 3: tremendous loss. Like think about Whipperwill's. They're a good example. 412 00:25:22,880 --> 00:25:25,600 Speaker 3: When you grew up you're hearing that whipper will whipper 413 00:25:25,640 --> 00:25:29,840 Speaker 3: will call yeah, And now if you hear when you're like, oh, 414 00:25:30,240 --> 00:25:32,560 Speaker 3: you know, that was like the sound of summer in 415 00:25:32,600 --> 00:25:36,200 Speaker 3: our childhoods. Right, they have dropped off a cliff, and 416 00:25:37,400 --> 00:25:39,439 Speaker 3: we could go through the list. Golden wing warblers are 417 00:25:39,440 --> 00:25:45,560 Speaker 3: one that's commonly brought up, so it's important to recognize, 418 00:25:45,600 --> 00:25:48,240 Speaker 3: and I think from the standpoint of our organization too, 419 00:25:48,880 --> 00:25:51,800 Speaker 3: there's an advantage of being able to sort of hitch 420 00:25:51,800 --> 00:25:54,639 Speaker 3: our wagon up to these two iconic upland game bird species. 421 00:25:55,240 --> 00:25:57,119 Speaker 3: But I also want to make sure that people understand 422 00:25:58,320 --> 00:26:01,120 Speaker 3: the why of our work is about much more than 423 00:26:02,119 --> 00:26:05,840 Speaker 3: thinking about having lots of grouse and woodcock to hunt. 424 00:26:05,840 --> 00:26:10,600 Speaker 3: What we're trying to do is find ways to redeem 425 00:26:10,760 --> 00:26:14,280 Speaker 3: our responsibilities to the places that we love and help 426 00:26:14,440 --> 00:26:17,720 Speaker 3: leave these forested ecosystems in a state that's going to 427 00:26:17,720 --> 00:26:21,960 Speaker 3: be better for wildlife and for people into the future. 428 00:26:22,240 --> 00:26:26,880 Speaker 3: So that's a that's I think a good entry point 429 00:26:26,880 --> 00:26:29,600 Speaker 3: into this conversation about current condition for those couple of. 430 00:26:29,520 --> 00:26:36,000 Speaker 2: Species you you mentioned disturbance being important, and like, if 431 00:26:36,040 --> 00:26:39,080 Speaker 2: you talk to a couple of my buddies in Pennsylvania 432 00:26:39,119 --> 00:26:44,000 Speaker 2: that are still like die hard grouse hunters despite yeah, 433 00:26:44,040 --> 00:26:47,320 Speaker 2: the fact that they might only flush a few birds 434 00:26:47,359 --> 00:26:50,879 Speaker 2: in an entire season. Yeah, Like it's always like they 435 00:26:50,880 --> 00:26:53,480 Speaker 2: don't log enough, they don't log enough, they don't log enough. 436 00:26:53,520 --> 00:26:54,679 Speaker 1: Like is that like? 437 00:26:55,680 --> 00:26:58,600 Speaker 2: And I know like West Nile and Avian flu like 438 00:26:58,760 --> 00:27:02,919 Speaker 2: play a role, but like, is that perspective from just 439 00:27:03,040 --> 00:27:05,840 Speaker 2: like a grouse hunter? Is there a lot of. 440 00:27:05,800 --> 00:27:07,120 Speaker 1: Truth to that? There is? 441 00:27:07,200 --> 00:27:11,320 Speaker 3: And I think the language is really important too, And 442 00:27:11,359 --> 00:27:13,920 Speaker 3: I'm just thinking about the way that we frame up 443 00:27:14,640 --> 00:27:21,600 Speaker 3: this work. And you know, logging, logging can be a 444 00:27:21,680 --> 00:27:25,480 Speaker 3: terrible thing, and it can be a tremendous thing. And 445 00:27:26,280 --> 00:27:30,600 Speaker 3: part of the problem is when it comes to social 446 00:27:30,680 --> 00:27:34,680 Speaker 3: license and public discourse around what doing right by these 447 00:27:34,680 --> 00:27:40,440 Speaker 3: forest means. There's not enough time or effort put into 448 00:27:40,520 --> 00:27:43,919 Speaker 3: having like a really thoughtful, nuanced conversation about what it 449 00:27:43,960 --> 00:27:46,200 Speaker 3: is we're talking about. So logging, Like, let's talk about 450 00:27:46,240 --> 00:27:47,960 Speaker 3: logging part of the challenge. 451 00:27:47,960 --> 00:27:51,080 Speaker 1: And like I'll just to clarify, we're talking about logging. 452 00:27:51,400 --> 00:27:58,400 Speaker 1: You're talking about there's these historic forest disturbers, YEP passenger pigeons, 453 00:27:58,920 --> 00:28:04,920 Speaker 1: fire by health beaver. Yeah, beaver's large animals that are 454 00:28:04,960 --> 00:28:09,760 Speaker 1: like out disturbing forests, grazing, bowling stuff over, knocking stuff down, 455 00:28:09,880 --> 00:28:14,560 Speaker 1: clearing stuff out, and over time we've developed a system 456 00:28:14,600 --> 00:28:17,920 Speaker 1: where we have one a lot of those places become 457 00:28:17,960 --> 00:28:22,359 Speaker 1: paved over or grassed over, or golf coursed over, or 458 00:28:22,400 --> 00:28:26,480 Speaker 1: parking lotted over or subdivisioned over, and so they're out. Yep, 459 00:28:26,600 --> 00:28:33,320 Speaker 1: that's all just out. What remains is wood lots. At times, 460 00:28:33,480 --> 00:28:39,280 Speaker 1: wood lots that aren't having habitat disturbance on them. They grow, grow, grow, 461 00:28:39,320 --> 00:28:43,880 Speaker 1: grow grow yep. Right, yep. So when we talk about 462 00:28:43,880 --> 00:28:48,280 Speaker 1: just for people, just for listeners, don't stand when we 463 00:28:48,320 --> 00:28:50,160 Speaker 1: talk about logging, I mean, Carl get into it, but 464 00:28:50,200 --> 00:28:57,200 Speaker 1: we're what we're talking about is like a modern disturbance driver. Yep. Right. 465 00:28:57,280 --> 00:29:00,560 Speaker 1: So when Brody's saying, if a rough grouse sky, if 466 00:29:00,600 --> 00:29:03,080 Speaker 1: a rough grouse hunter, or a guy in Lower you know, 467 00:29:03,120 --> 00:29:05,880 Speaker 1: the northern Lower Peninsula, Michigan where I grew up, when 468 00:29:05,920 --> 00:29:09,640 Speaker 1: we bitch about that there's no logging, yep. What we're 469 00:29:09,640 --> 00:29:11,920 Speaker 1: saying is there's it's not that we you know, it's 470 00:29:11,960 --> 00:29:15,320 Speaker 1: not like you know, I used to cut fire with ice, 471 00:29:15,400 --> 00:29:17,560 Speaker 1: be a tree surgeon. I understand the siren song or 472 00:29:17,600 --> 00:29:21,520 Speaker 1: the chainsaw. Right, nothing brings the old man out of you. Yeah, 473 00:29:21,520 --> 00:29:23,040 Speaker 1: anohing brings an old man out of his house, right, 474 00:29:23,040 --> 00:29:26,440 Speaker 1: hearing the chainsaw down the road. So, but when people talk, 475 00:29:26,480 --> 00:29:31,600 Speaker 1: they're not they're not lamenting the act of logging, right, 476 00:29:32,200 --> 00:29:36,000 Speaker 1: they're not necessarily meant lamenting the loss of jobs around logging. 477 00:29:36,040 --> 00:29:40,000 Speaker 1: What they're talking about is they're lamenting what happens after 478 00:29:40,040 --> 00:29:44,480 Speaker 1: you log, yeah, which is you invite a lot of 479 00:29:44,520 --> 00:29:48,360 Speaker 1: sunlight onto the forest floor and it grows up thick. 480 00:29:49,160 --> 00:29:50,880 Speaker 1: The kind of stuff where if you're out walking around 481 00:29:50,920 --> 00:29:53,560 Speaker 1: with your wife, you just go around, right, you go 482 00:29:53,600 --> 00:29:55,760 Speaker 1: around it, unless he's crossing with you, man, you might 483 00:29:55,800 --> 00:29:57,680 Speaker 1: go unless like yeah, the kind of stuff that the 484 00:29:57,720 --> 00:30:00,640 Speaker 1: only business you have going through it is grouse right, 485 00:30:01,000 --> 00:30:03,400 Speaker 1: like that thick right right, and that so we talked 486 00:30:03,400 --> 00:30:07,719 Speaker 1: about logging. We're talking about is the thick the period 487 00:30:07,720 --> 00:30:10,760 Speaker 1: of carver tells how many years. It's a long time. Yeah, 488 00:30:10,800 --> 00:30:12,560 Speaker 1: it's enough to like kind of get used to it 489 00:30:13,080 --> 00:30:17,200 Speaker 1: where you have a thick stuff. Yeah. 490 00:30:17,480 --> 00:30:22,040 Speaker 3: Well, I really appreciate this question because I want to 491 00:30:22,080 --> 00:30:26,000 Speaker 3: I want to go back to this idea of the 492 00:30:26,040 --> 00:30:29,880 Speaker 3: forests that were you know, pre pre European settlement, all 493 00:30:29,920 --> 00:30:34,120 Speaker 3: that disturbance happening, and then there's a really important story 494 00:30:34,120 --> 00:30:37,880 Speaker 3: that we can't lose track of. Where this word logging, right, 495 00:30:38,360 --> 00:30:40,000 Speaker 3: What I want to get at is the idea that 496 00:30:40,080 --> 00:30:42,520 Speaker 3: not all, not all logging is the same. 497 00:30:42,760 --> 00:30:43,000 Speaker 1: Yeah. 498 00:30:43,480 --> 00:30:46,400 Speaker 3: Sure, And so if we go back to this arc 499 00:30:46,480 --> 00:30:50,840 Speaker 3: of time post European settlement and think about the things 500 00:30:50,840 --> 00:30:56,480 Speaker 3: that happened on these forests from east to west and 501 00:30:57,320 --> 00:31:06,040 Speaker 3: the wholesale liquidation of forest resources, I mean, like the 502 00:31:08,400 --> 00:31:16,320 Speaker 3: most sort of vivid, powerful example of intensive resource extraction 503 00:31:16,960 --> 00:31:19,800 Speaker 3: that you can imagine, right, This is when the White 504 00:31:19,880 --> 00:31:24,000 Speaker 3: Pines of the Lake States, our childhood home range, Steve, 505 00:31:24,480 --> 00:31:28,640 Speaker 3: when those forests were being liquidated. This is the chapter 506 00:31:28,920 --> 00:31:35,120 Speaker 3: of the Northeast and mid Atlantic and the declining chestnuts 507 00:31:35,160 --> 00:31:39,320 Speaker 3: being felled, and all of the clearing for agriculture, and 508 00:31:39,360 --> 00:31:44,000 Speaker 3: all the fragmentation that was happening, the forests just being liquidated, 509 00:31:44,640 --> 00:31:47,920 Speaker 3: building the cities of Chicago, all the lumber that was 510 00:31:47,960 --> 00:31:53,680 Speaker 3: being shipped across the Great Lakes to build these exploding communities. 511 00:31:54,200 --> 00:31:57,280 Speaker 3: It was a period of tremendous exploitation of the land. 512 00:31:57,280 --> 00:31:58,880 Speaker 3: And I think that's one of the problems is when 513 00:31:58,920 --> 00:32:02,280 Speaker 3: people think about word like logging, what a lot of. 514 00:32:02,280 --> 00:32:04,239 Speaker 1: Folks here is exploitation, right. 515 00:32:04,360 --> 00:32:07,440 Speaker 3: So it's important to honor the reality that in a 516 00:32:07,440 --> 00:32:09,600 Speaker 3: lot of places in our country we do not have 517 00:32:09,640 --> 00:32:12,200 Speaker 3: a long history. Man, We're talking about a few centuries here, 518 00:32:13,040 --> 00:32:16,600 Speaker 3: and so for the majority of that time, we have 519 00:32:16,760 --> 00:32:18,840 Speaker 3: not had our act together in terms of how we 520 00:32:18,880 --> 00:32:25,400 Speaker 3: think about logging being done in service to the land 521 00:32:25,440 --> 00:32:28,360 Speaker 3: as opposed to being a source of exploitation of the land. 522 00:32:29,800 --> 00:32:33,920 Speaker 3: So I want to make sure we paint this picture 523 00:32:36,200 --> 00:32:38,920 Speaker 3: with a lot of intent, and we have to own 524 00:32:38,960 --> 00:32:43,160 Speaker 3: the fact that places like I'm thinking about the Monongahila 525 00:32:43,400 --> 00:32:46,320 Speaker 3: National Forest as an example right now in West Virginia, 526 00:32:47,280 --> 00:32:53,040 Speaker 3: where on Forest Service land like there was clear cutting, 527 00:32:53,160 --> 00:32:56,880 Speaker 3: there was a tremendous amount of erosion, there were huge 528 00:32:56,920 --> 00:33:05,000 Speaker 3: impacts to these incredibly biod verse streams. A legacy of 529 00:33:05,440 --> 00:33:08,479 Speaker 3: terrible management, you can't even call it management, a legacy 530 00:33:08,480 --> 00:33:11,880 Speaker 3: of exploitation of forest resources. And if I think back 531 00:33:11,920 --> 00:33:14,760 Speaker 3: to like I remember being in maybe sixth or seventh 532 00:33:14,760 --> 00:33:18,960 Speaker 3: grade and them talking about logging the rainforest, right, and 533 00:33:19,000 --> 00:33:22,479 Speaker 3: how much rainforest is being lost in Brazil, And you know, 534 00:33:22,520 --> 00:33:25,200 Speaker 3: every day there's this many square miles of rainforest being 535 00:33:25,240 --> 00:33:29,000 Speaker 3: cut down, spotted out on the sure the spotted owl 536 00:33:29,000 --> 00:33:32,160 Speaker 3: wars man like Pacific Northwest. This tension between trying to 537 00:33:32,280 --> 00:33:36,480 Speaker 3: keep an imperiled species on the landscape and that industry 538 00:33:36,480 --> 00:33:41,360 Speaker 3: that's like the backbone of those rural Northwest communities. So 539 00:33:41,440 --> 00:33:43,760 Speaker 3: there's all this history that gets wrapped up in this 540 00:33:43,800 --> 00:33:47,440 Speaker 3: word logging, right, that you have to be eyes wide 541 00:33:47,440 --> 00:33:50,920 Speaker 3: open about. And I think it's also a fallacy to 542 00:33:51,000 --> 00:33:54,440 Speaker 3: suggest that all logging that's happening today is good logging. 543 00:33:54,640 --> 00:33:59,800 Speaker 3: There are plenty of examples where people are high grading forests. 544 00:33:59,760 --> 00:34:05,280 Speaker 3: They're just basically thinking about they're thinking about what value 545 00:34:05,320 --> 00:34:08,759 Speaker 3: can be taken from this land now, as opposed to 546 00:34:08,880 --> 00:34:12,520 Speaker 3: thinking about what forest conditions for the future am I 547 00:34:12,560 --> 00:34:17,479 Speaker 3: trying to create. That's a very important distinction. And that's 548 00:34:17,520 --> 00:34:21,600 Speaker 3: not to say that it's impossible to extract value, like 549 00:34:21,719 --> 00:34:25,320 Speaker 3: monetary value from a forest and also put that forest 550 00:34:25,360 --> 00:34:27,600 Speaker 3: on a trajectory to be healthier as a result of 551 00:34:27,600 --> 00:34:32,000 Speaker 3: that intervention. That is one hundred percent possible. In order 552 00:34:32,040 --> 00:34:34,839 Speaker 3: to do that, though you need robust industry, like there 553 00:34:34,880 --> 00:34:39,640 Speaker 3: has to be a market. You cannot move habitat without 554 00:34:39,680 --> 00:34:43,080 Speaker 3: being able to move wood and the forest products industry 555 00:34:43,360 --> 00:34:47,200 Speaker 3: is in a difficult state of affairs right now. So 556 00:34:47,200 --> 00:34:49,880 Speaker 3: there's a lot of smart people putting a lot of 557 00:34:49,880 --> 00:34:52,920 Speaker 3: thought into how to revitalize the forest products industry. But 558 00:34:53,040 --> 00:34:56,080 Speaker 3: just in the past week, I read in my home 559 00:34:56,120 --> 00:34:59,200 Speaker 3: state of Wisconsin. Now there's a little mill up in 560 00:34:59,239 --> 00:35:01,759 Speaker 3: the town of Mozennie, where by the way, I chased 561 00:35:01,760 --> 00:35:03,520 Speaker 3: a couple of bears around as a grad student. Right 562 00:35:03,560 --> 00:35:08,960 Speaker 3: there in Mosany, they are shutting down a couple of 563 00:35:09,000 --> 00:35:13,279 Speaker 3: their their paper production machines and and they're going to 564 00:35:13,320 --> 00:35:15,960 Speaker 3: be jobs lost. There's going to be an impact at 565 00:35:15,960 --> 00:35:19,400 Speaker 3: this Mosan email. And that's just the most recent in 566 00:35:19,480 --> 00:35:24,200 Speaker 3: a long string of mill reductions, mill closures, the disruption 567 00:35:24,280 --> 00:35:28,719 Speaker 3: of these these forest products industries that are important for 568 00:35:28,760 --> 00:35:30,560 Speaker 3: so many reasons. But one aspect of it is this 569 00:35:30,640 --> 00:35:38,120 Speaker 3: relationship between habitat and rural economies. So being able to 570 00:35:38,160 --> 00:35:43,560 Speaker 3: find ways to reinvigorate the forest products industry. And there's 571 00:35:43,560 --> 00:35:46,440 Speaker 3: some cool examples of things on the horizon, things in 572 00:35:46,520 --> 00:35:52,120 Speaker 3: the works, things like mass timber, trying to trying to 573 00:35:52,280 --> 00:35:55,560 Speaker 3: replace steel in the construction of high rise buildings with 574 00:35:56,360 --> 00:35:59,839 Speaker 3: mass timber. And there's there's an amazing building in down 575 00:36:00,080 --> 00:36:06,680 Speaker 3: On Milwaukee that was just constructed using essentially replacements for 576 00:36:06,719 --> 00:36:11,239 Speaker 3: where you'd have steel beams using these laminated wood products. 577 00:36:12,480 --> 00:36:16,120 Speaker 3: So that's an example. There's a push to find ways 578 00:36:16,160 --> 00:36:20,560 Speaker 3: to convert woody biomass into sustainable aviation fuel. That's a 579 00:36:20,640 --> 00:36:24,960 Speaker 3: budding industry. There's some amazing work going on looking at 580 00:36:26,200 --> 00:36:30,800 Speaker 3: very high quality packaging being derived from molded wood fiber, 581 00:36:31,360 --> 00:36:33,520 Speaker 3: so trying to replace all the plastic that we have 582 00:36:33,880 --> 00:36:37,719 Speaker 3: everywhere around us all the time. Basically anywhere you see plastic, 583 00:36:37,880 --> 00:36:41,560 Speaker 3: there's probably a potential to replace that plastic with a 584 00:36:41,600 --> 00:36:47,440 Speaker 3: molded wood fiber product. So there's reasons for optimism, but 585 00:36:47,480 --> 00:36:51,080 Speaker 3: in terms of the overall picture of the forest products industry, 586 00:36:53,560 --> 00:36:55,160 Speaker 3: there's a lot of reason for concern right now and 587 00:36:55,160 --> 00:36:58,840 Speaker 3: a lot of reason for action in terms of policy, 588 00:36:59,040 --> 00:37:04,239 Speaker 3: in terms of having conversations with the public around the 589 00:37:04,239 --> 00:37:08,399 Speaker 3: importance of these concepts. But this idea that logging has 590 00:37:08,440 --> 00:37:12,000 Speaker 3: the potential to be good and grouse hunters grumbling like man, 591 00:37:12,000 --> 00:37:16,279 Speaker 3: there hasn't been enough logging. What I hope they mean is, 592 00:37:16,360 --> 00:37:18,640 Speaker 3: and what I think they mean, and what I mean 593 00:37:18,680 --> 00:37:22,840 Speaker 3: when I say that is there hasn't been enough active 594 00:37:22,920 --> 00:37:26,440 Speaker 3: forest management where we are thinking both about what value 595 00:37:26,480 --> 00:37:30,680 Speaker 3: are we extracting from these systems, and I would argue, 596 00:37:30,760 --> 00:37:34,200 Speaker 3: even more importantly, thinking about our long term commitment and 597 00:37:34,239 --> 00:37:36,920 Speaker 3: responsibility these places, and what are we leaving behind. 598 00:37:36,960 --> 00:37:38,200 Speaker 1: I think that's the key question. 599 00:37:38,280 --> 00:37:40,920 Speaker 3: If you're focused, if you're focused more on what you're 600 00:37:40,960 --> 00:37:44,080 Speaker 3: taking than what you're leaving behind, you're probably looking at 601 00:37:44,120 --> 00:37:46,799 Speaker 3: it from a more extractive standpoint. If you're thinking about 602 00:37:46,800 --> 00:37:49,320 Speaker 3: both of those things in concert, that's a beautiful space 603 00:37:49,320 --> 00:37:51,400 Speaker 3: to operate. And I think we've got a ton of 604 00:37:51,440 --> 00:37:53,719 Speaker 3: examples of the kind of work that we're doing on 605 00:37:53,800 --> 00:37:56,280 Speaker 3: public land on private land with a lot of partners 606 00:37:57,120 --> 00:37:59,799 Speaker 3: to derive both forms of value. 607 00:38:00,239 --> 00:38:02,600 Speaker 1: I think about our go ahead, but you know, think 608 00:38:02,640 --> 00:38:06,600 Speaker 1: about our mutual friend Doug. Yeah, yeah, no, he needs 609 00:38:06,640 --> 00:38:10,839 Speaker 1: to make he manages a family farm, yeah, spending their 610 00:38:10,840 --> 00:38:13,120 Speaker 1: family a long time. He needs to make the farm 611 00:38:13,160 --> 00:38:17,120 Speaker 1: pay yeah, right right. They do timber harvest. Absolutely. This 612 00:38:17,160 --> 00:38:20,160 Speaker 1: is very small scale in terms of talking about the 613 00:38:20,280 --> 00:38:22,640 Speaker 1: entire everything east of the Mississippi. It's a little, it's 614 00:38:22,640 --> 00:38:27,200 Speaker 1: a little, it's a perfect little chunk. But when you're 615 00:38:27,360 --> 00:38:31,160 Speaker 1: looking at what Doug's gonna cut, he's explaining to you 616 00:38:31,200 --> 00:38:33,799 Speaker 1: what it's gonna look like in five years? Right? Do 617 00:38:33,840 --> 00:38:37,399 Speaker 1: you follow what I'm saying. He's like, he's got he's 618 00:38:37,520 --> 00:38:41,160 Speaker 1: got a dollar figure rolling to his head, but he's like, 619 00:38:41,320 --> 00:38:44,120 Speaker 1: and it'll be like this, yes, and then I'm gonna 620 00:38:44,160 --> 00:38:46,399 Speaker 1: do yes. You know what I'm saying, I do. And Doug. 621 00:38:46,560 --> 00:38:48,520 Speaker 3: You know, I was just with Doug this past weekend. 622 00:38:48,560 --> 00:38:51,600 Speaker 3: We're both up in Minneapolis at Pheasant Fest, and I 623 00:38:51,640 --> 00:38:56,480 Speaker 3: was talking with Doug. Doug is Doug is absolutely emblematic 624 00:38:56,760 --> 00:39:01,560 Speaker 3: of that philosophy where, yeah, he's got the farm, he 625 00:39:01,600 --> 00:39:06,319 Speaker 3: needs to make it pay. He agonized over decisions about 626 00:39:06,320 --> 00:39:08,120 Speaker 3: whether to cut down some of the oak trees that 627 00:39:08,160 --> 00:39:11,959 Speaker 3: they harvested that were, you know, there for generations prior 628 00:39:11,960 --> 00:39:17,319 Speaker 3: to him showing up. But he's making those decisions with 629 00:39:17,520 --> 00:39:21,680 Speaker 3: an eye on the financial side of it, which is 630 00:39:21,680 --> 00:39:28,160 Speaker 3: one hundred percent his responsibility, and also thinking about that 631 00:39:28,160 --> 00:39:31,319 Speaker 3: that legacy. You know, it's not ours, it's it's our turn. 632 00:39:32,000 --> 00:39:33,560 Speaker 3: What is he doing to make sure that the folks 633 00:39:33,560 --> 00:39:36,680 Speaker 3: who have the next turn are grateful? 634 00:39:36,880 --> 00:39:40,319 Speaker 1: In hindsight, Let's be clear, too, Doug agonizes over what 635 00:39:40,440 --> 00:39:45,239 Speaker 1: to do about mud puddles. Well, but on the one hand, 636 00:39:47,160 --> 00:39:49,040 Speaker 1: but but he's coming at He's coming at it from 637 00:39:49,080 --> 00:39:50,880 Speaker 1: that space, man, and I think you know that. 638 00:39:51,400 --> 00:39:53,239 Speaker 3: So on the private land context, this is one of 639 00:39:53,239 --> 00:39:54,520 Speaker 3: the things. This is one of the reasons why I 640 00:39:54,520 --> 00:39:56,360 Speaker 3: think there's a lot of a lot of room for 641 00:39:56,480 --> 00:40:00,319 Speaker 3: optimism and hope as you have so many people who 642 00:40:01,280 --> 00:40:08,840 Speaker 3: cherish these forests for which they have personal responsibility, and 643 00:40:08,480 --> 00:40:12,360 Speaker 3: there's value in the forest products, and there's a need 644 00:40:13,160 --> 00:40:18,120 Speaker 3: for good intervention in those systems. And again, this isn't 645 00:40:18,120 --> 00:40:19,719 Speaker 3: a new thing, right, It's not a new thing for 646 00:40:19,800 --> 00:40:21,840 Speaker 3: humans to be looking at the land and trying to 647 00:40:21,880 --> 00:40:23,759 Speaker 3: figure out how to engage with it in a way 648 00:40:23,800 --> 00:40:27,799 Speaker 3: that makes the land better and makes the humans' lives better. 649 00:40:27,880 --> 00:40:33,600 Speaker 3: That's actually, like, that's the story of our species for millennia, right, 650 00:40:33,640 --> 00:40:37,120 Speaker 3: We've been in the business of manipulating the ecosystem to 651 00:40:37,200 --> 00:40:41,360 Speaker 3: benefit ourselves. Unfortunately, we're at a period in human history 652 00:40:41,360 --> 00:40:46,680 Speaker 3: now where fewer and fewer of us have those levers 653 00:40:46,719 --> 00:40:51,320 Speaker 3: of responsibility at our fingertips. And there are also a 654 00:40:51,360 --> 00:40:53,640 Speaker 3: lot of people who have those levers of responsibility at 655 00:40:53,640 --> 00:40:54,520 Speaker 3: their fingertips who. 656 00:40:54,480 --> 00:40:56,440 Speaker 1: Don't know what to do right. 657 00:40:56,480 --> 00:41:01,080 Speaker 3: They don't know how to care for a forest they 658 00:41:01,120 --> 00:41:05,840 Speaker 3: haven't been taught that, you know, the expertise that somebody 659 00:41:05,920 --> 00:41:10,200 Speaker 3: like Doug has the training and the knowledge. He is 660 00:41:10,239 --> 00:41:12,799 Speaker 3: an outlier in that regard. But where I think he 661 00:41:12,960 --> 00:41:17,799 Speaker 3: is not an outlier is in having a desire to 662 00:41:17,880 --> 00:41:21,560 Speaker 3: do the right thing for the forest under his purview. 663 00:41:21,640 --> 00:41:23,279 Speaker 3: I think a lot of folks want to do the 664 00:41:23,360 --> 00:41:26,480 Speaker 3: right thing but don't know where to start. So for 665 00:41:26,520 --> 00:41:29,960 Speaker 3: an organization like ours, being able to work with those 666 00:41:30,000 --> 00:41:33,680 Speaker 3: private landowners and help them think through how to generate 667 00:41:34,239 --> 00:41:38,080 Speaker 3: revenue from their forest, but doing that through the lens 668 00:41:38,120 --> 00:41:41,000 Speaker 3: of what are they leaving in terms of future habitat value? 669 00:41:41,719 --> 00:41:45,040 Speaker 3: That is a really cool service. And you know we're 670 00:41:45,040 --> 00:41:47,080 Speaker 3: doing that in a private lands context as well with 671 00:41:47,800 --> 00:41:51,120 Speaker 3: agencies like the Forest Service, like state departments of natural Resources, 672 00:41:51,160 --> 00:41:54,759 Speaker 3: where we're helping them implement their management plans which are 673 00:41:54,880 --> 00:41:59,000 Speaker 3: always rooted in this idea of sustainable and wise use 674 00:41:59,040 --> 00:42:02,880 Speaker 3: but also desired future conditions. So those are really good spaces. 675 00:42:02,880 --> 00:42:06,600 Speaker 2: So where does the like, where does the wildlife co 676 00:42:07,480 --> 00:42:10,560 Speaker 2: oponent come in? Like from fishing game agencies, like are 677 00:42:10,600 --> 00:42:12,839 Speaker 2: they in? Are they like we want to improve this 678 00:42:13,000 --> 00:42:18,800 Speaker 2: for grouse and everything else? But like say Pennsylvania game commissioner. 679 00:42:18,920 --> 00:42:21,160 Speaker 2: Do they come to you guys and say, this patch 680 00:42:21,160 --> 00:42:24,360 Speaker 2: of forests like used to be good for grouse, we'd 681 00:42:24,400 --> 00:42:27,239 Speaker 2: like it to return to being good for grouse. Like 682 00:42:27,360 --> 00:42:30,880 Speaker 2: is that stuff that you guys do like working with 683 00:42:30,960 --> 00:42:31,799 Speaker 2: game agencies? 684 00:42:31,840 --> 00:42:36,480 Speaker 1: Totally? But wasn't it historically? Though? If you think of 685 00:42:36,480 --> 00:42:38,520 Speaker 1: the metaphor of like, you know, people say, like the 686 00:42:39,200 --> 00:42:46,560 Speaker 1: tailwag and the dog. For a long time the dog, 687 00:42:48,200 --> 00:42:58,839 Speaker 1: the dog was industry. They inadvertently, they accidentally created great habitat. 688 00:42:59,480 --> 00:43:01,800 Speaker 1: I would think the history this big chunk of ground 689 00:43:01,840 --> 00:43:04,080 Speaker 1: right like that we would walk over and hunt as 690 00:43:04,160 --> 00:43:06,040 Speaker 1: a kid. Had it always been the property of this 691 00:43:06,080 --> 00:43:10,640 Speaker 1: summer camp. I'm sure historically had been logged, but it 692 00:43:10,640 --> 00:43:15,400 Speaker 1: hadn't been logged in forever. And it was giant oaks 693 00:43:15,520 --> 00:43:20,080 Speaker 1: with canopies that interlocked. Yeah, and there was no now 694 00:43:20,120 --> 00:43:22,560 Speaker 1: and then the sassafrass, maybe a big white pine. But 695 00:43:22,600 --> 00:43:25,680 Speaker 1: for the most part it was just wide open and 696 00:43:25,760 --> 00:43:29,480 Speaker 1: the ground was covered in like inches of oak leaves. 697 00:43:30,600 --> 00:43:33,279 Speaker 1: It had squirrels in it, but there was nothing. There 698 00:43:33,320 --> 00:43:38,080 Speaker 1: was not much in there. It sold. The first thing 699 00:43:38,120 --> 00:43:43,400 Speaker 1: I did was do a timber harvest. A couple of 700 00:43:43,440 --> 00:43:46,320 Speaker 1: years after that timber harvest, the first time we ever 701 00:43:46,520 --> 00:43:49,520 Speaker 1: ever saw a deer in there, the first time we 702 00:43:49,640 --> 00:43:54,080 Speaker 1: ever ever saw a ruffed grouse in there, all kind 703 00:43:54,080 --> 00:44:00,759 Speaker 1: of grape vine, multi floor rows, thickets, and then wham houses. 704 00:44:01,480 --> 00:44:04,680 Speaker 1: But you, but you. It was like no one was saying, Hey, 705 00:44:04,680 --> 00:44:08,040 Speaker 1: I'm going to go do timber stand improvement on the 706 00:44:08,080 --> 00:44:14,600 Speaker 1: old summer camp. It was inadvertent yep. So people when 707 00:44:14,600 --> 00:44:17,320 Speaker 1: we talk about like the return of logging or forest 708 00:44:17,360 --> 00:44:23,879 Speaker 1: service products, we're talking about like like making the dog healthy. Yeah. Yeah. 709 00:44:24,560 --> 00:44:26,440 Speaker 1: But on the other hand, you hear a lot about 710 00:44:26,480 --> 00:44:31,240 Speaker 1: like like habitat work, But imagine habitat work is limited 711 00:44:31,280 --> 00:44:36,080 Speaker 1: in scale because it's not financing itself. Yeah, I see 712 00:44:36,120 --> 00:44:38,279 Speaker 1: where you're going what I'm saying. So is it more 713 00:44:38,400 --> 00:44:42,160 Speaker 1: so in restoring forests or restoring forests to have successional 714 00:44:42,239 --> 00:44:45,280 Speaker 1: forests where you have these patchworks of different things happening, 715 00:44:47,880 --> 00:44:51,560 Speaker 1: Like can you even get at can you scale conservation 716 00:44:51,960 --> 00:44:56,800 Speaker 1: work or will that never work? You'd have to scale industry. 717 00:44:57,960 --> 00:45:00,960 Speaker 3: I love the language of making the dog healthy again. Yeah, 718 00:45:01,160 --> 00:45:03,600 Speaker 3: I think that's a really good way of looking at it, because. 719 00:45:03,360 --> 00:45:04,920 Speaker 1: That's a broad he's bringing up. He's bringing up well, 720 00:45:04,960 --> 00:45:08,120 Speaker 1: how about when the dog wags, when the tail wags dog, 721 00:45:08,280 --> 00:45:10,960 Speaker 1: when we do like habitat work, which would woud up 722 00:45:10,960 --> 00:45:13,279 Speaker 1: being like a little chunk, yeah or whatever. I don't know, 723 00:45:13,280 --> 00:45:13,920 Speaker 1: maybe maybe not. 724 00:45:14,080 --> 00:45:18,000 Speaker 2: I mean maybe like if agencies are flush with money. 725 00:45:17,800 --> 00:45:20,440 Speaker 3: Well, yeah, And there's a lot of different directions we 726 00:45:20,440 --> 00:45:23,520 Speaker 3: could go here. So so let me just focus in 727 00:45:23,600 --> 00:45:28,080 Speaker 3: on this idea of trying to scale up conservation outcomes 728 00:45:28,080 --> 00:45:29,200 Speaker 3: and forested habitats. 729 00:45:29,480 --> 00:45:32,520 Speaker 1: I like that conservation outcomes. Yeah, and. 730 00:45:34,239 --> 00:45:37,000 Speaker 3: It's expensive work. Yeah, Like a lot of the things 731 00:45:37,000 --> 00:45:43,280 Speaker 3: that we do, we're involved in non native invasive species 732 00:45:43,320 --> 00:45:49,720 Speaker 3: control like buckthorn removal or timber stand improvement treatments prescribe fire. 733 00:45:50,239 --> 00:45:52,120 Speaker 3: Just to give folks like a sense of the cost 734 00:45:52,160 --> 00:45:55,479 Speaker 3: of some of these treatments. Imagine anywhere between like five 735 00:45:55,560 --> 00:45:58,040 Speaker 3: hundred dollars an acre and a couple thousand bucks an 736 00:45:58,080 --> 00:46:02,160 Speaker 3: acre to do a treatment, right, Like, no one's making profit, No, 737 00:46:02,360 --> 00:46:04,879 Speaker 3: this is so this is where there's it's non commercial work. 738 00:46:04,920 --> 00:46:07,000 Speaker 3: Like if we're if we're contracting or if we're going 739 00:46:07,040 --> 00:46:09,960 Speaker 3: in and trying to like have people in there with 740 00:46:10,120 --> 00:46:13,600 Speaker 3: like a hand felling crew with chainsaws trying to implement 741 00:46:13,719 --> 00:46:17,920 Speaker 3: a habitat project where there's not a commercial angle. It 742 00:46:18,040 --> 00:46:21,120 Speaker 3: is expensive, it is tremendously difficult to scale that up. 743 00:46:23,280 --> 00:46:25,279 Speaker 1: I'll give you a. 744 00:46:25,320 --> 00:46:28,880 Speaker 3: Contrasting model that I think is really powerful and really cool. 745 00:46:29,600 --> 00:46:32,160 Speaker 3: We've got a number of national forests where we're partnering 746 00:46:32,239 --> 00:46:39,120 Speaker 3: on stewardship agreements, where the Forest Service has the ability 747 00:46:39,920 --> 00:46:48,320 Speaker 3: to hand responsibility over for the administration of timber sales 748 00:46:48,719 --> 00:46:51,800 Speaker 3: to a nonprofit organization like ours. We can administer the 749 00:46:51,840 --> 00:46:56,360 Speaker 3: timber sale, generate revenue through the timber, cover all the 750 00:46:56,400 --> 00:47:01,080 Speaker 3: administrative costs of handling the sale, and then also have 751 00:47:01,480 --> 00:47:04,439 Speaker 3: in some cases hundreds of thousands of dollars left over 752 00:47:04,600 --> 00:47:07,840 Speaker 3: from the value in that timber that we can put 753 00:47:08,320 --> 00:47:10,000 Speaker 3: right into the ground. 754 00:47:11,040 --> 00:47:12,880 Speaker 1: Why are they letting you do that? That's great, but 755 00:47:12,960 --> 00:47:14,880 Speaker 1: I could picture an reasons They're not going to want 756 00:47:14,920 --> 00:47:17,279 Speaker 1: to do that. Well, so think about it. Think about it. 757 00:47:17,640 --> 00:47:19,120 Speaker 1: They they have. 758 00:47:20,680 --> 00:47:23,480 Speaker 3: More work to do on these forests than they can 759 00:47:23,520 --> 00:47:29,640 Speaker 3: get done. They have backlogs of habitat need, they have 760 00:47:30,440 --> 00:47:35,279 Speaker 3: limited capacity. And the way to look at it is 761 00:47:35,320 --> 00:47:39,760 Speaker 3: not that somehow a nonprofit organization like the Rough Grouse 762 00:47:39,760 --> 00:47:45,640 Speaker 3: Society is somehow benefiting in isolation. The way to look 763 00:47:45,680 --> 00:47:49,560 Speaker 3: at it is we have such alignment with the Forest 764 00:47:49,600 --> 00:47:54,239 Speaker 3: Service in mission delivery that we are joined at the 765 00:47:54,320 --> 00:47:59,520 Speaker 3: hip trying to implement the Forest Service's mission. We're there 766 00:47:59,560 --> 00:48:02,920 Speaker 3: providing additional capacity and that revenue. To be clear, that 767 00:48:02,960 --> 00:48:06,440 Speaker 3: revenue is not coming to the Rough Grouse Society and 768 00:48:06,520 --> 00:48:10,680 Speaker 3: American Woodcock Society. It's paying for our staff time to 769 00:48:10,719 --> 00:48:14,000 Speaker 3: help do that work. Like we have as an example, 770 00:48:14,000 --> 00:48:17,160 Speaker 3: we have an amazing young forester on the Green Mountain 771 00:48:17,200 --> 00:48:20,120 Speaker 3: National Forest, young lady named Mellie Napper, who's spent administering 772 00:48:20,160 --> 00:48:24,319 Speaker 3: timber sales on the Green Mountain National Forest, and she 773 00:48:24,400 --> 00:48:27,080 Speaker 3: basically functions as a Forest Service employee. She's there at 774 00:48:27,080 --> 00:48:30,240 Speaker 3: the office, she's out painting the sale, she's administering the sale, 775 00:48:30,239 --> 00:48:33,480 Speaker 3: interacting with the folks who are executing on the sale. 776 00:48:33,520 --> 00:48:36,400 Speaker 3: She's fielding questions from the public. She's talking to reporters 777 00:48:36,400 --> 00:48:40,440 Speaker 3: about the why of the work. She's representing our organization 778 00:48:40,560 --> 00:48:44,000 Speaker 3: and the Forest Service, and even more importantly, she's representing 779 00:48:44,040 --> 00:48:46,959 Speaker 3: the story about why this work is so important, which 780 00:48:47,000 --> 00:48:49,560 Speaker 3: is a win for everybody involved. And in a period 781 00:48:49,600 --> 00:48:52,320 Speaker 3: of time where the Forest Service cannot hire additional people, 782 00:48:52,360 --> 00:48:54,879 Speaker 3: they don't have enough people to implement their mission. Being 783 00:48:54,920 --> 00:48:56,920 Speaker 3: able to work with a partner to fill some of 784 00:48:57,000 --> 00:48:59,920 Speaker 3: those gaps. That is a win for the Forest Service. 785 00:48:59,640 --> 00:49:04,719 Speaker 2: When you get guys do that does the logging like 786 00:49:05,120 --> 00:49:09,160 Speaker 2: the whoever gets the actual logging work the concession for that. 787 00:49:09,520 --> 00:49:13,560 Speaker 2: Do they do that work differently than they would if 788 00:49:13,640 --> 00:49:16,000 Speaker 2: they weren't working through you, like if they were just 789 00:49:16,040 --> 00:49:18,520 Speaker 2: like for a service timbersale, we're going in and we're 790 00:49:18,520 --> 00:49:22,840 Speaker 2: getting our stuff versus for a service timbersale through the 791 00:49:22,920 --> 00:49:23,800 Speaker 2: rough grouse aside. 792 00:49:23,920 --> 00:49:26,560 Speaker 3: No, they do it the same. And here's why. In 793 00:49:26,640 --> 00:49:29,880 Speaker 3: order for that sale to move forward, it has to 794 00:49:30,040 --> 00:49:34,040 Speaker 3: be cleared through the exact same process that any other 795 00:49:35,040 --> 00:49:36,360 Speaker 3: activity on the forest. 796 00:49:36,440 --> 00:49:38,520 Speaker 2: So they're not going in there, you're not, like, this 797 00:49:38,680 --> 00:49:41,600 Speaker 2: is kind of the habitat results we're looking. 798 00:49:41,320 --> 00:49:42,920 Speaker 1: For in advance. 799 00:49:43,040 --> 00:49:45,840 Speaker 3: No, and in this case, like so this this example 800 00:49:45,880 --> 00:49:47,160 Speaker 3: on the Green Mountain National Forest. 801 00:49:47,360 --> 00:49:49,280 Speaker 1: Where's that National Forest? It's in Vermont? 802 00:49:50,120 --> 00:49:54,759 Speaker 3: And the decision in that case, I might have a 803 00:49:54,800 --> 00:49:57,680 Speaker 3: word slightly off, but I believe the name of this 804 00:49:57,800 --> 00:50:01,560 Speaker 3: project is the Early Successional Attack Creation Project. 805 00:50:02,080 --> 00:50:04,279 Speaker 1: Love the Forest Service right to the point. 806 00:50:04,440 --> 00:50:07,360 Speaker 3: Yeah, and and and you know, and in Forest Service parlance, 807 00:50:07,520 --> 00:50:11,080 Speaker 3: you have what's called an interdisciplinary team that gets together 808 00:50:11,280 --> 00:50:15,480 Speaker 3: to develop a proposed action. So you have biologists and 809 00:50:15,560 --> 00:50:20,520 Speaker 3: soil scientists and silviculturists and folks who are experts on 810 00:50:21,120 --> 00:50:26,239 Speaker 3: heritage and our responsibilities uh to archaeological resources, et cetera. 811 00:50:26,280 --> 00:50:28,799 Speaker 3: Everybody gets together and looks at a piece of ground 812 00:50:28,800 --> 00:50:30,160 Speaker 3: and says, all right, what do we want to do here. 813 00:50:30,760 --> 00:50:32,920 Speaker 3: In the case of a project like this early successional 814 00:50:32,920 --> 00:50:36,120 Speaker 3: habitat creation project, the biologists are the ones in the 815 00:50:36,200 --> 00:50:39,920 Speaker 3: driver's seat. There it's a veg management project, right, there's 816 00:50:40,120 --> 00:50:43,440 Speaker 3: and there's valuable timber being harvested, but the whole focus 817 00:50:43,520 --> 00:50:45,520 Speaker 3: is on what kind of trees, like what are we 818 00:50:45,640 --> 00:50:47,800 Speaker 3: leaving behind in the in the wake of this treatment? 819 00:50:48,120 --> 00:50:50,120 Speaker 3: And that's that's what that's the language that we use. 820 00:50:50,120 --> 00:50:53,800 Speaker 3: It's a treatment as opposed to an exploitation of a resource. 821 00:50:53,880 --> 00:50:54,080 Speaker 1: Right. 822 00:50:54,800 --> 00:50:58,239 Speaker 3: So in that case, you have the sale, you have 823 00:50:58,320 --> 00:51:00,800 Speaker 3: someone bid, right, it's open to public bidding. 824 00:51:00,800 --> 00:51:02,880 Speaker 1: You have an operator business coming into bidding. 825 00:51:03,000 --> 00:51:06,719 Speaker 3: Yeah, they're there to make money, right, And they are 826 00:51:06,719 --> 00:51:09,320 Speaker 3: there to make money and also they are the source 827 00:51:09,360 --> 00:51:12,960 Speaker 3: of capacity to implement the vege management outcome. Period Without 828 00:51:13,040 --> 00:51:16,360 Speaker 3: industry we cannot get the work done. But in this model, 829 00:51:17,480 --> 00:51:20,759 Speaker 3: you're leveraging the value in the timber to pay for 830 00:51:20,880 --> 00:51:23,640 Speaker 3: all of those administrative costs, and then you have this 831 00:51:23,760 --> 00:51:26,200 Speaker 3: surplus of value. And this is the really cool part. 832 00:51:26,640 --> 00:51:29,400 Speaker 3: And in some cases we're talking literally hundreds of thousands 833 00:51:29,400 --> 00:51:31,759 Speaker 3: of dollars from some of these timber sales. Where you 834 00:51:31,800 --> 00:51:34,000 Speaker 3: then turn around and say, all right, with this money, 835 00:51:34,800 --> 00:51:37,160 Speaker 3: what other good things do we want to do on 836 00:51:37,200 --> 00:51:40,440 Speaker 3: the forest. So it could be things like replacing undersized 837 00:51:40,600 --> 00:51:44,680 Speaker 3: culverts at roadstream crossings to promote aquatic organism passage. It 838 00:51:44,680 --> 00:51:48,799 Speaker 3: could be paying for decommissioning roads that are resulting in 839 00:51:48,840 --> 00:51:51,719 Speaker 3: stream sedimentation. It could be helping cover the cost of 840 00:51:51,719 --> 00:51:54,479 Speaker 3: a prescribed fire. It could be helping treat non native 841 00:51:54,480 --> 00:51:55,719 Speaker 3: invasive species, etc. 842 00:51:56,040 --> 00:51:57,000 Speaker 1: Etc. Et cetera. 843 00:51:57,480 --> 00:52:00,279 Speaker 3: So in that model, the forest services were lying on 844 00:52:00,320 --> 00:52:03,640 Speaker 3: partner organizations like ours to unlock the value in the 845 00:52:03,680 --> 00:52:06,800 Speaker 3: timber in a way that leaves the forest habitat better. 846 00:52:07,560 --> 00:52:12,200 Speaker 3: So that to me, like, that's the dog as healthy 847 00:52:12,200 --> 00:52:14,799 Speaker 3: as the dog can be, and the tail also like 848 00:52:14,920 --> 00:52:17,080 Speaker 3: really benefiting from the healthy dog. But you got to 849 00:52:17,080 --> 00:52:18,680 Speaker 3: have industry there to be able to have in the 850 00:52:18,680 --> 00:52:19,560 Speaker 3: green River Forest. 851 00:52:19,600 --> 00:52:22,120 Speaker 1: What is the product the Green Mountain? What is the 852 00:52:22,120 --> 00:52:26,560 Speaker 1: product they're cranking out that, like dimensional lumber? Yeah, probably hard, 853 00:52:26,719 --> 00:52:30,120 Speaker 1: They're hard. They're they're harvesting hardwood there primarily. Yeah. Okay, 854 00:52:30,160 --> 00:52:33,319 Speaker 1: so like veneer logs and trim and whatever else. 855 00:52:33,480 --> 00:52:37,000 Speaker 3: Yep, yeah, got it. Yeah, I mean pulp. You know, 856 00:52:37,040 --> 00:52:39,600 Speaker 3: the pulp market has been one of the real weak spots. 857 00:52:40,680 --> 00:52:43,440 Speaker 1: So why why is that? Well huge cause because like 858 00:52:44,239 --> 00:52:46,279 Speaker 1: we're you know, you know, we grew up in the 859 00:52:46,280 --> 00:52:48,799 Speaker 1: same area. Yeah, when stuff got when stuff happened there, 860 00:52:48,800 --> 00:52:51,279 Speaker 1: it was pulp, right, yeah, cutting pulp. Man that with 861 00:52:51,400 --> 00:52:54,560 Speaker 1: all that great rough grouse country and like the up 862 00:52:54,880 --> 00:52:58,280 Speaker 1: or Northern Lower Peninsula was like cutting pulp. It was pulp. 863 00:52:58,480 --> 00:53:01,719 Speaker 1: And you were looking at stuff you weren't looking when 864 00:53:01,760 --> 00:53:03,240 Speaker 1: you were a kid and you were looking at logging. 865 00:53:03,280 --> 00:53:05,839 Speaker 1: You weren't looking at old growth logging, right, you were 866 00:53:05,840 --> 00:53:07,880 Speaker 1: looking stuff that had been logged several times. 867 00:53:07,719 --> 00:53:10,600 Speaker 3: Right, Yeah, second growth, third growth, I mean in those 868 00:53:10,600 --> 00:53:13,799 Speaker 3: four ESTs. But that's making paper, making paper, And you know, 869 00:53:13,800 --> 00:53:16,080 Speaker 3: I'm I'm I'm old school. I'm sitting here, I've got 870 00:53:16,080 --> 00:53:18,480 Speaker 3: like stacks of paper around me from stuff I printed off, 871 00:53:18,640 --> 00:53:22,279 Speaker 3: you know, notes and things for the conversation today. But 872 00:53:22,360 --> 00:53:25,120 Speaker 3: this is rare. Man, Like, when's the last time you 873 00:53:25,160 --> 00:53:28,479 Speaker 3: bought a newspaper? Right, I mean now, like the thing 874 00:53:28,960 --> 00:53:29,680 Speaker 3: in terms of. 875 00:53:29,880 --> 00:53:31,840 Speaker 1: Because they and also they taught you to think it 876 00:53:31,880 --> 00:53:32,480 Speaker 1: was bad. 877 00:53:32,719 --> 00:53:35,200 Speaker 3: Well that's true, you know, like going I think about 878 00:53:35,200 --> 00:53:36,720 Speaker 3: this every time I'm in the bathroom. 879 00:53:36,360 --> 00:53:37,799 Speaker 1: And you got both sides save tree. 880 00:53:37,840 --> 00:53:39,680 Speaker 3: You got paper towel, and you got the you got 881 00:53:39,680 --> 00:53:42,880 Speaker 3: the electric hand dryer. Right, I've gotten in the habit 882 00:53:42,920 --> 00:53:44,799 Speaker 3: of going for the paper towel every time, man, like 883 00:53:44,960 --> 00:53:45,440 Speaker 3: use up some. 884 00:53:45,440 --> 00:53:46,680 Speaker 1: Of that paper towel. 885 00:53:48,440 --> 00:53:51,920 Speaker 3: Yeah, but the uh, you know, now, like one area 886 00:53:52,000 --> 00:53:55,880 Speaker 3: where there's still I would say, like robust and growing demand, 887 00:53:56,200 --> 00:54:00,120 Speaker 3: like cardboard boxes for Amazon. Like there's a portion of 888 00:54:00,160 --> 00:54:03,120 Speaker 3: the industry where pack we're making a lot, we're shipping 889 00:54:03,120 --> 00:54:05,319 Speaker 3: a lot of stuff around. But when it comes to 890 00:54:05,480 --> 00:54:09,480 Speaker 3: when it comes to like newsprint, I mean, newsprint's basically dead. Right, 891 00:54:09,600 --> 00:54:12,560 Speaker 3: Like if you've got a subscription, like pick your favorite newspaper, 892 00:54:12,560 --> 00:54:14,560 Speaker 3: you're probably looking at it on your phone, as opposed 893 00:54:14,600 --> 00:54:16,719 Speaker 3: to waiting for the kid on his bicycle to throw 894 00:54:16,760 --> 00:54:20,200 Speaker 3: the paper against your door on a Sunday morning. Right, 895 00:54:20,920 --> 00:54:25,960 Speaker 3: So it's been a tremendous disruption to the demand for pulp, 896 00:54:25,960 --> 00:54:28,399 Speaker 3: and a lot of those pulp mills have closed down 897 00:54:28,480 --> 00:54:30,560 Speaker 3: just in the span of the last I mean, I 898 00:54:30,600 --> 00:54:32,200 Speaker 3: told you about the one in Mozenee just in the 899 00:54:32,239 --> 00:54:34,000 Speaker 3: last week. But if you look at the last decade, 900 00:54:34,000 --> 00:54:38,560 Speaker 3: we've lost a tremendous amount of pulp capacity. But on 901 00:54:38,600 --> 00:54:40,520 Speaker 3: the wildlife side, you think of it in terms of 902 00:54:41,080 --> 00:54:44,640 Speaker 3: demand for those habitat outcomes to be implemented, right, So 903 00:54:44,680 --> 00:54:47,960 Speaker 3: there's this really important connection. And just to hammer this 904 00:54:47,960 --> 00:54:51,840 Speaker 3: one more time, like, without robust forest products industry, the 905 00:54:51,920 --> 00:54:56,719 Speaker 3: ability to deliver habitat outcomes at scale is tremendously compromised. 906 00:54:58,520 --> 00:55:02,440 Speaker 2: So there's just not a situation where like wildlife management 907 00:55:02,520 --> 00:55:05,680 Speaker 2: agencies or the Forest Service or whatever are just going 908 00:55:05,760 --> 00:55:09,000 Speaker 2: to like go in and chop trees down just for 909 00:55:09,040 --> 00:55:10,600 Speaker 2: the sake of chopping them down. 910 00:55:10,680 --> 00:55:13,520 Speaker 3: So now we start getting into this whole other realm 911 00:55:13,560 --> 00:55:16,200 Speaker 3: that I think is also very timely and very important, 912 00:55:16,440 --> 00:55:19,719 Speaker 3: and we could have a whole other conversation on this one. 913 00:55:19,760 --> 00:55:23,360 Speaker 3: But just in terms of thinking about conservation funding and 914 00:55:23,880 --> 00:55:26,720 Speaker 3: the constraints that a lot of state agencies are starting 915 00:55:26,719 --> 00:55:29,200 Speaker 3: to feel, Steve, you and I've been sharing materials and 916 00:55:29,280 --> 00:55:33,240 Speaker 3: texting back and forth a bit about the financial woes 917 00:55:33,280 --> 00:55:35,359 Speaker 3: of some of the some of the states that are 918 00:55:35,360 --> 00:55:37,399 Speaker 3: near and dear to our hearts, some thinking specifically about 919 00:55:37,400 --> 00:55:39,560 Speaker 3: Michigan and Wisconsin. Is a couple of examples right now 920 00:55:39,600 --> 00:55:43,320 Speaker 3: where just trying to make ends meet under a funding 921 00:55:43,360 --> 00:55:47,600 Speaker 3: model that was built on the backs of hunting and 922 00:55:47,640 --> 00:55:52,560 Speaker 3: fishing license sales. Where that model is, from my perspective, 923 00:55:52,719 --> 00:55:55,520 Speaker 3: starting to unravel. There are cracks in the foundations starting 924 00:55:55,520 --> 00:55:55,920 Speaker 3: to show. 925 00:55:56,640 --> 00:56:03,560 Speaker 4: And Carl believes that the declining numbers of hunters is 926 00:56:03,800 --> 00:56:07,160 Speaker 4: of is like an existential threat to conservation. 927 00:56:07,760 --> 00:56:11,600 Speaker 2: I mean, I agree. I'll give you a kind of 928 00:56:12,000 --> 00:56:16,399 Speaker 2: a different scenario. In Pennsylvania, there's shiploads of state game 929 00:56:16,520 --> 00:56:20,960 Speaker 2: lands that the Game Commission you know, owns and manages, 930 00:56:21,719 --> 00:56:26,640 Speaker 2: and they have like historically had tons of racking leases 931 00:56:26,960 --> 00:56:30,480 Speaker 2: on those lands, and that like they're flushed, like they 932 00:56:30,480 --> 00:56:35,040 Speaker 2: have money that they can put into potentially projects like this. 933 00:56:35,200 --> 00:56:39,040 Speaker 2: I understand that's like probably the rare case as far 934 00:56:39,080 --> 00:56:43,040 Speaker 2: as these agencies go, But yeah, you know, it's something 935 00:56:43,080 --> 00:56:43,680 Speaker 2: to think about. 936 00:56:43,840 --> 00:56:45,479 Speaker 3: It is it is, and I you know, I would 937 00:56:45,520 --> 00:56:49,840 Speaker 3: I would rephrase your characterization of my perspective on this 938 00:56:49,920 --> 00:56:51,320 Speaker 3: a little bit, Steve, I think. 939 00:56:51,560 --> 00:56:55,640 Speaker 1: Well, I did a great job. I'll prop I'll push 940 00:56:55,680 --> 00:56:56,560 Speaker 1: back a little. 941 00:56:57,400 --> 00:57:00,600 Speaker 3: Well, I said, like half a sentence, you said I 942 00:57:01,040 --> 00:57:07,600 Speaker 3: that I, Carl, believe declining hunter participation poses an existential 943 00:57:07,840 --> 00:57:08,840 Speaker 3: threat to conservation. 944 00:57:08,920 --> 00:57:09,840 Speaker 1: You need to clarify that. 945 00:57:10,040 --> 00:57:16,040 Speaker 3: Yeah, Okay, go ahead. What I think is the declining 946 00:57:16,120 --> 00:57:25,840 Speaker 3: participation in hunting is representative of a broader trend that 947 00:57:26,080 --> 00:57:28,600 Speaker 3: is a real threat to conservation. 948 00:57:28,840 --> 00:57:29,800 Speaker 1: What's the broader trend? 949 00:57:31,400 --> 00:57:37,520 Speaker 3: So from my standpoint, I look at hunting in particular, 950 00:57:37,560 --> 00:57:42,360 Speaker 3: but really like a whole suite of outdoor activities that 951 00:57:42,440 --> 00:57:46,440 Speaker 3: are pathways to people having a connection to the land 952 00:57:46,840 --> 00:57:50,840 Speaker 3: as being sort of the backbone of conservation. Like if 953 00:57:50,880 --> 00:57:54,400 Speaker 3: you don't have people who feel a sense of connection 954 00:57:54,760 --> 00:57:57,000 Speaker 3: to the natural world. 955 00:57:58,680 --> 00:58:00,760 Speaker 2: Just less people around who give it. 956 00:58:00,400 --> 00:58:02,680 Speaker 3: Right, that's a blunt way of putting it, but it's like, 957 00:58:02,760 --> 00:58:07,880 Speaker 3: if you don't have people who feel that sense of responsibility, 958 00:58:09,360 --> 00:58:13,120 Speaker 3: that is an existential threat. I think the hunter participation 959 00:58:13,200 --> 00:58:16,280 Speaker 3: piece and I and I do believe and I'm obviously 960 00:58:16,320 --> 00:58:19,760 Speaker 3: biased here, but I think these activities of hunting and 961 00:58:19,800 --> 00:58:25,560 Speaker 3: fishing and trapping and procuring food from the land in 962 00:58:25,600 --> 00:58:34,640 Speaker 3: any form. It's one of the most just obvious, deep 963 00:58:35,080 --> 00:58:38,560 Speaker 3: significant kinds of relationship that you can have to a place. 964 00:58:38,800 --> 00:58:42,280 Speaker 3: It's it's it's so visceral, right, It's a very personal, 965 00:58:42,360 --> 00:58:47,760 Speaker 3: visceral connection to the land. Which is not to say 966 00:58:47,760 --> 00:58:50,680 Speaker 3: that it's the only way to develop an appreciation for place. 967 00:58:50,720 --> 00:58:52,520 Speaker 3: I don't believe that at all. I think there are 968 00:58:52,520 --> 00:58:54,680 Speaker 3: a lot of different pathways to caring for the land. 969 00:58:55,280 --> 00:58:59,360 Speaker 3: But the fact that we see these declines in participation 970 00:58:59,440 --> 00:59:02,800 Speaker 3: in activity like hunting, which are I believe among the 971 00:59:02,800 --> 00:59:06,360 Speaker 3: most strong and meaningful relationships to the land that a 972 00:59:06,360 --> 00:59:10,720 Speaker 3: person can have, that is representative of this broader trend 973 00:59:10,760 --> 00:59:15,800 Speaker 3: of disconnection and apathy around conservation, and that I believe 974 00:59:15,840 --> 00:59:16,880 Speaker 3: is an existential threat. 975 00:59:16,960 --> 00:59:19,000 Speaker 1: I want to comment on that, but I want listeners 976 00:59:19,000 --> 00:59:21,600 Speaker 1: to understand very well that this is Steve talking and 977 00:59:21,640 --> 00:59:23,920 Speaker 1: not Carl talking about Okay, I don't want Carl to 978 00:59:23,960 --> 00:59:24,720 Speaker 1: get rolled up and just. 979 00:59:24,920 --> 00:59:30,360 Speaker 2: Say I don't have you read it. 980 00:59:31,080 --> 00:59:35,400 Speaker 1: There was a I think it was the New York Times. 981 00:59:35,440 --> 00:59:39,320 Speaker 1: There was an op ed, but the guys arguing he's like, 982 00:59:42,360 --> 00:59:47,040 Speaker 1: he's arguing that part of the he argues it as 983 00:59:47,200 --> 00:59:50,680 Speaker 1: the Republican Party has moved away from conservation, particularly under 984 00:59:50,680 --> 00:59:54,120 Speaker 1: the Trump administration. And he's like, because you don't have 985 00:59:54,240 --> 00:59:59,760 Speaker 1: those old style hunting and fishing like in that circle, 986 01:00:00,080 --> 01:00:03,240 Speaker 1: aren't like the old style hunting and fishing. 987 01:00:03,480 --> 01:00:06,480 Speaker 2: Republicans don't care about hunting. 988 01:00:06,600 --> 01:00:09,440 Speaker 1: These are Florida golfers. Do you know what I'm saying? 989 01:00:09,960 --> 01:00:11,920 Speaker 1: And he was kind of saying that like that, like this, 990 01:00:12,160 --> 01:00:14,360 Speaker 1: like it's kind of like this is a moment of 991 01:00:14,440 --> 01:00:19,919 Speaker 1: kind of like the indoor Republican you follow me following, Yeah, 992 01:00:20,040 --> 01:00:22,040 Speaker 1: and had a bunch of examples, but it's like they 993 01:00:22,360 --> 01:00:28,040 Speaker 1: just they don't they don't know, and they don't care. Yeah, 994 01:00:29,000 --> 01:00:34,160 Speaker 1: they're not. Their vacation isn't fly fishing, Yeah, Jackson Hole. 995 01:00:34,360 --> 01:00:37,560 Speaker 1: Like their vacation is West Palm Beach or whatever. The 996 01:00:37,560 --> 01:00:39,960 Speaker 1: one I can't remember what's the nice one? Is it Western? 997 01:00:40,160 --> 01:00:41,520 Speaker 2: I don't know, never been. 998 01:00:42,760 --> 01:00:45,600 Speaker 1: There's one that's like super swank. Either Palm Beach or 999 01:00:45,640 --> 01:00:49,040 Speaker 1: West Palm Beach is super swank. And one's not like 1000 01:00:49,120 --> 01:00:53,000 Speaker 1: Jeffrey Epstein lived in one but kind of did his 1001 01:00:53,080 --> 01:00:55,280 Speaker 1: pursuits in the other one. I can't remember how it 1002 01:00:55,360 --> 01:00:56,160 Speaker 1: all worked. 1003 01:00:56,960 --> 01:00:59,600 Speaker 2: But like what you're talking about, like the lack of connection, 1004 01:00:59,720 --> 01:01:03,320 Speaker 2: and it ties into this too, whether it's Republican or Democrat. 1005 01:01:03,440 --> 01:01:07,120 Speaker 2: Like there's like when I grew up, people knew what 1006 01:01:07,240 --> 01:01:09,000 Speaker 2: a rough grouse and a woodcock word. 1007 01:01:09,040 --> 01:01:11,360 Speaker 1: It was a pet I mean, But. 1008 01:01:11,520 --> 01:01:14,960 Speaker 2: Like you could ask someone anywhere on the East Coast 1009 01:01:15,040 --> 01:01:17,720 Speaker 2: or the Midwest and they might have no They'd be like, 1010 01:01:17,720 --> 01:01:19,600 Speaker 2: I don't know what that thing is. What they look like, 1011 01:01:19,720 --> 01:01:20,080 Speaker 2: you know. 1012 01:01:21,520 --> 01:01:27,840 Speaker 3: Exactly, And I think, you know, this idea of finding 1013 01:01:28,720 --> 01:01:35,640 Speaker 3: opportunities for folks from whatever political persuasion, but also whatever 1014 01:01:36,520 --> 01:01:42,520 Speaker 3: sort of circumstance in which they enter their human experience. 1015 01:01:42,760 --> 01:01:45,480 Speaker 3: So whether you're born in a rural community, whether you're 1016 01:01:45,480 --> 01:01:47,440 Speaker 3: born in an urban community, whether you're born in a 1017 01:01:47,480 --> 01:01:55,720 Speaker 3: conservative family or a liberal family, this idea of a 1018 01:01:55,800 --> 01:01:58,560 Speaker 3: sense of connection to place and a sense of responsibility 1019 01:01:58,800 --> 01:02:02,000 Speaker 3: to place and also to community. You know, we talk 1020 01:02:02,040 --> 01:02:05,560 Speaker 3: a lot about in this country. We talk a lot 1021 01:02:05,600 --> 01:02:10,880 Speaker 3: about rights. Right rights are a big deal, and they are. 1022 01:02:12,360 --> 01:02:16,480 Speaker 3: But the flip side of all of these rights that 1023 01:02:16,520 --> 01:02:22,960 Speaker 3: we have are certain unalienable rights. As Americans, we don't 1024 01:02:22,960 --> 01:02:26,000 Speaker 3: spend enough time thinking about responsibilities and what it means 1025 01:02:26,040 --> 01:02:29,560 Speaker 3: to go through life in a way where we are 1026 01:02:30,960 --> 01:02:34,720 Speaker 3: enjoying the rights that we have been given, but also 1027 01:02:34,760 --> 01:02:38,480 Speaker 3: asking ourselves what are we doing to redeem the responsibilities 1028 01:02:38,480 --> 01:02:41,200 Speaker 3: that we have as members of our community? Yeah, but 1029 01:02:41,240 --> 01:02:43,280 Speaker 3: those are those are I think big important questions that 1030 01:02:43,360 --> 01:02:48,320 Speaker 3: in the conservation space. It's like, if your community extends 1031 01:02:48,360 --> 01:02:52,160 Speaker 3: to the places and the species that you interact with, 1032 01:02:52,280 --> 01:02:56,280 Speaker 3: whether it's as a hunter or otherwise, it frames your 1033 01:02:56,320 --> 01:03:01,680 Speaker 3: worldview such that decisions around policy you start thinking, You 1034 01:03:01,720 --> 01:03:04,920 Speaker 3: start thinking in terms of what kind of world do 1035 01:03:04,960 --> 01:03:06,440 Speaker 3: you want to create? What kind of world do you 1036 01:03:06,480 --> 01:03:12,400 Speaker 3: want to leave behind? And that that framing, to me, 1037 01:03:12,960 --> 01:03:17,800 Speaker 3: is one of the keys to success in terms of 1038 01:03:17,840 --> 01:03:22,920 Speaker 3: having a really vibrant, healthy culture as a nation, which 1039 01:03:23,120 --> 01:03:25,800 Speaker 3: I would suggest we've got some room to improve right 1040 01:03:25,840 --> 01:03:28,160 Speaker 3: now on that front. So just thinking in terms of 1041 01:03:28,560 --> 01:03:31,320 Speaker 3: how are we positioning ourselves to take care of the 1042 01:03:31,360 --> 01:03:34,080 Speaker 3: things that take care of us? Okay, how are we 1043 01:03:34,120 --> 01:03:36,880 Speaker 3: showing up in our community. There's a there's an education 1044 01:03:37,040 --> 01:03:38,800 Speaker 3: component to it, for sure. 1045 01:03:40,360 --> 01:03:42,760 Speaker 1: You and I don't want to hover too long on 1046 01:03:42,800 --> 01:03:47,600 Speaker 1: this thing about declining hunter participation in the Midwest or wherever, 1047 01:03:48,920 --> 01:03:52,320 Speaker 1: but a thought on it nationally. But nat you okay, 1048 01:03:53,000 --> 01:03:57,520 Speaker 1: you'll say, you're like, well, it's it's it's a part. 1049 01:03:57,720 --> 01:04:02,880 Speaker 1: It's a part of people disentangling themselves, stepping away from 1050 01:04:03,600 --> 01:04:10,840 Speaker 1: caring about wild landscapes. There are plenty of people that 1051 01:04:11,640 --> 01:04:14,840 Speaker 1: aren't going to come out of those backgrounds that would say, oh, 1052 01:04:14,840 --> 01:04:18,320 Speaker 1: I love seeing wildlife, I love walking in the woods. 1053 01:04:19,040 --> 01:04:23,800 Speaker 1: But what they don't know, because they weren't culturally educated 1054 01:04:23,880 --> 01:04:27,320 Speaker 1: around like a hunting, angling outdoor background, what they don't 1055 01:04:27,320 --> 01:04:29,280 Speaker 1: know is they don't know how to look critically at 1056 01:04:29,280 --> 01:04:34,600 Speaker 1: what they're seeing. Meaning if they see someone cutting a tree, boom, 1057 01:04:34,720 --> 01:04:40,000 Speaker 1: that's bad, right percent. Okay, if they walk through a 1058 01:04:40,120 --> 01:04:44,200 Speaker 1: big closed canopy forest, it's easy to walk through and 1059 01:04:44,200 --> 01:04:46,120 Speaker 1: it's really pretty because there's a bunch of big trees. 1060 01:04:48,360 --> 01:04:52,880 Speaker 1: They love all that stuff, but they don't know. They're 1061 01:04:52,920 --> 01:04:56,200 Speaker 1: not looking at it. And I'm not saying there's only 1062 01:04:56,240 --> 01:04:58,400 Speaker 1: one way to get there. They're not looking at it 1063 01:04:58,440 --> 01:05:04,600 Speaker 1: with a hunter's eye or an educated eye. About what 1064 01:05:04,640 --> 01:05:09,880 Speaker 1: are you not seeing? Yeah, yes, that is true. Right, 1065 01:05:10,040 --> 01:05:16,040 Speaker 1: you're seeing handful woodpeckers up in the top, some squirrels, 1066 01:05:16,080 --> 01:05:20,760 Speaker 1: not many, right, But they're like, this is perfect, it's 1067 01:05:20,760 --> 01:05:26,440 Speaker 1: a big woods. Yeah, like it takes I don't know 1068 01:05:26,800 --> 01:05:31,000 Speaker 1: a level of exposure, and some kind of like professional 1069 01:05:31,080 --> 01:05:34,880 Speaker 1: understanding a little bit to start to move not just 1070 01:05:34,880 --> 01:05:41,640 Speaker 1: from caring about places, but to like understanding them. Yeah, well, 1071 01:05:42,640 --> 01:05:44,640 Speaker 1: because a lot of people care, they just don't care 1072 01:05:44,640 --> 01:05:47,000 Speaker 1: in the right way. Right. It's like the kind of 1073 01:05:47,040 --> 01:05:48,960 Speaker 1: people who think that the way to support wildlife is 1074 01:05:49,000 --> 01:05:51,280 Speaker 1: to be an animal rights activist. Right in their mind, 1075 01:05:51,320 --> 01:05:54,200 Speaker 1: they're like, oh, well, of course it is right. They 1076 01:05:54,240 --> 01:05:55,520 Speaker 1: don't understand the damage they do. 1077 01:05:57,440 --> 01:06:00,360 Speaker 3: Yes, I agree with that point. I also think there 1078 01:06:00,400 --> 01:06:05,720 Speaker 3: are there are a lot of non hunters who care 1079 01:06:05,760 --> 01:06:11,000 Speaker 3: about these concepts and are very supportive of hunting. In fact, 1080 01:06:11,040 --> 01:06:13,919 Speaker 3: there are more non hunters who are supportive of hunting 1081 01:06:13,960 --> 01:06:17,280 Speaker 3: than there are hunters. So you know, if to be 1082 01:06:17,320 --> 01:06:19,720 Speaker 3: careful of painting with too broad a brush, I agree. 1083 01:06:19,920 --> 01:06:22,760 Speaker 1: But I mean, we're in some ways I'm not countering you. 1084 01:06:22,880 --> 01:06:24,640 Speaker 1: I'm saying somebodys we're saying, we're talking about the same 1085 01:06:24,720 --> 01:06:27,720 Speaker 1: kind of thing. And I want to say there's an instinctive. 1086 01:06:29,160 --> 01:06:31,240 Speaker 1: What I'm saying is, I don't think that we're going 1087 01:06:31,320 --> 01:06:34,560 Speaker 1: to run out of if let's say hunting does decline 1088 01:06:35,480 --> 01:06:37,680 Speaker 1: or declines long term or something. We're not going to 1089 01:06:37,800 --> 01:06:40,080 Speaker 1: run out of people who would tell you they love wildlife. 1090 01:06:41,760 --> 01:06:43,640 Speaker 1: I picture we run out of people who knowing what 1091 01:06:43,680 --> 01:06:46,000 Speaker 1: that we run, we risk running out of people who 1092 01:06:46,120 --> 01:06:47,520 Speaker 1: understand what that means. 1093 01:06:47,960 --> 01:06:52,360 Speaker 2: Yeah, there'd still be a lot of people around who 1094 01:06:52,400 --> 01:06:54,760 Speaker 2: care about the Yellowstone version of wild Yeah. 1095 01:06:54,600 --> 01:06:56,760 Speaker 1: They would tell you, like, I love wildlife. It's like, 1096 01:06:56,880 --> 01:06:59,280 Speaker 1: but you don't understand it. 1097 01:07:01,200 --> 01:07:03,360 Speaker 3: The language that comes to my mind is I'm thinking 1098 01:07:03,360 --> 01:07:07,800 Speaker 3: about rather than focusing on a particular activity, whether it's 1099 01:07:08,000 --> 01:07:13,480 Speaker 3: whether it's hunting or wildlife, viewing this idea of thinking 1100 01:07:13,520 --> 01:07:20,480 Speaker 3: in terms of encouraging experiences for people that foster a 1101 01:07:20,600 --> 01:07:24,480 Speaker 3: sense of connection and responsibility to a place. Because if 1102 01:07:24,520 --> 01:07:27,680 Speaker 3: you have that sense of responsibility and you want to 1103 01:07:27,720 --> 01:07:30,400 Speaker 3: execute on that, you need to know what the place 1104 01:07:30,480 --> 01:07:33,640 Speaker 3: needs from you. And I think hunting is a phenomenal 1105 01:07:33,680 --> 01:07:38,600 Speaker 3: gateway to just like experiencing in a visceral way, a 1106 01:07:38,720 --> 01:07:41,400 Speaker 3: sense of being part of a system. Right, It's like 1107 01:07:41,960 --> 01:07:45,880 Speaker 3: you are not observing, you are a participant, actively engaged 1108 01:07:46,360 --> 01:07:48,480 Speaker 3: in a system, which is something we have been doing 1109 01:07:48,520 --> 01:07:52,280 Speaker 3: since the beginning of our species existence. But I think 1110 01:07:52,320 --> 01:07:56,120 Speaker 3: in terms of messaging, as you were talking, I'm just 1111 01:07:56,200 --> 01:07:58,800 Speaker 3: looking back at this twenty twenty five State of the 1112 01:07:58,800 --> 01:08:03,959 Speaker 3: Birds report, and it talks in here about there being 1113 01:08:04,680 --> 01:08:08,440 Speaker 3: one hundred million Americans engaged in birding and the economic 1114 01:08:08,480 --> 01:08:11,840 Speaker 3: impact of that, et cetera. So well, give me a 1115 01:08:11,840 --> 01:08:15,360 Speaker 3: moment here, man. That just makes me I'm not surprised. 1116 01:08:15,360 --> 01:08:17,439 Speaker 3: I'm not surprised to hear that. But listen, here's the thing. 1117 01:08:17,560 --> 01:08:19,720 Speaker 3: Here's the thing. So here here, let me give you 1118 01:08:19,800 --> 01:08:20,200 Speaker 3: like a sense. 1119 01:08:20,200 --> 01:08:22,320 Speaker 1: You don't want to know why I'm rolling my eyes? Okay, 1120 01:08:22,360 --> 01:08:24,040 Speaker 1: go ahead, so listen listen here. 1121 01:08:25,800 --> 01:08:27,240 Speaker 3: I do want I do want to hear your thoughts 1122 01:08:27,240 --> 01:08:28,599 Speaker 3: on this, but I want to give it give some 1123 01:08:28,600 --> 01:08:32,280 Speaker 3: shout outs. So organizations including American Bird Conservancy, Cornell Lab 1124 01:08:32,320 --> 01:08:35,960 Speaker 3: of Ornithology, Ducks Unlimited, National Audibond. 1125 01:08:35,520 --> 01:08:38,400 Speaker 1: Society, can you tell me how many birds are? One 1126 01:08:38,439 --> 01:08:39,040 Speaker 1: hundred million? 1127 01:08:39,760 --> 01:08:44,320 Speaker 2: But and that includes eighty million of those in the mean? 1128 01:08:44,560 --> 01:08:46,720 Speaker 1: It means people. It means when someone asks you, you 1129 01:08:46,760 --> 01:08:47,799 Speaker 1: say you like birds. 1130 01:08:48,880 --> 01:08:52,080 Speaker 3: Okay, that's I think that's an important data point, man. 1131 01:08:52,680 --> 01:08:54,479 Speaker 3: I believe that's an important data point. And guess what 1132 01:08:54,520 --> 01:08:55,160 Speaker 3: that includes. 1133 01:08:55,680 --> 01:08:58,439 Speaker 1: Virtually there's so there's over two hundred million people in 1134 01:08:58,439 --> 01:08:59,360 Speaker 1: this country who. 1135 01:08:59,200 --> 01:09:02,640 Speaker 2: Don't I get what you're saying about these people that 1136 01:09:02,680 --> 01:09:03,880 Speaker 2: are interested. 1137 01:09:04,520 --> 01:09:06,120 Speaker 3: People who have enough interest to be like, yeah, birds 1138 01:09:06,120 --> 01:09:08,280 Speaker 3: are cool you. 1139 01:09:08,280 --> 01:09:14,000 Speaker 1: I would also would roll what an extraordinarily low barrier 1140 01:09:14,080 --> 01:09:16,679 Speaker 1: to entry? Do you like birds? Yes? Okay, I'm gonna 1141 01:09:16,680 --> 01:09:17,800 Speaker 1: put you down on my list of. 1142 01:09:17,800 --> 01:09:20,479 Speaker 2: Birders, And I would say, like you were talking about 1143 01:09:20,560 --> 01:09:24,880 Speaker 2: hunters versus not hunters earlier, like a hunter a good 1144 01:09:24,920 --> 01:09:27,400 Speaker 2: chance he's gonna walk around on chunk woods and be like, man, 1145 01:09:27,479 --> 01:09:31,280 Speaker 2: there's no rough browse here, there's no wood gut here. 1146 01:09:32,040 --> 01:09:35,599 Speaker 2: A lot of those hundred million birders they wouldn't. 1147 01:09:35,880 --> 01:09:38,400 Speaker 1: I would be like, okay, but to be on my list, 1148 01:09:38,520 --> 01:09:40,760 Speaker 1: do you have a bird book? And like you gotta 1149 01:09:40,920 --> 01:09:44,120 Speaker 1: like there has to be some cardinal and an oriole 1150 01:09:44,400 --> 01:09:47,800 Speaker 1: test them. So the Scheckter bookshelves. There's got to be 1151 01:09:47,920 --> 01:09:50,840 Speaker 1: something other than being like I like birds. Listen. 1152 01:09:51,360 --> 01:09:53,280 Speaker 3: The reason I'm bringing this up is not to get 1153 01:09:53,320 --> 01:09:54,679 Speaker 3: you off fired up about the data. 1154 01:09:55,600 --> 01:09:58,040 Speaker 1: Why live with four birders? Sure? 1155 01:09:58,080 --> 01:10:00,719 Speaker 3: And by the way, the report also it talks about 1156 01:10:00,720 --> 01:10:04,800 Speaker 3: like including virtually every hunter, Like what hunter is going 1157 01:10:04,840 --> 01:10:06,920 Speaker 3: to say? You know, No, when I'm out elk hunting, 1158 01:10:06,960 --> 01:10:10,160 Speaker 3: I always avert my eyes when I see Lewis's wood. 1159 01:10:10,200 --> 01:10:12,879 Speaker 1: Damn birds, right, these damn. 1160 01:10:12,680 --> 01:10:15,559 Speaker 3: Birds keep interrupting my el cutt, right, but that's why 1161 01:10:15,560 --> 01:10:18,240 Speaker 3: I rolled mys so I'm not surprised you did. But 1162 01:10:18,280 --> 01:10:21,000 Speaker 3: the reason I'm bringing this up is because I think 1163 01:10:23,640 --> 01:10:29,160 Speaker 3: there are going to be times where these concepts that 1164 01:10:29,240 --> 01:10:34,320 Speaker 3: I think we hold deer around people's connection to place, 1165 01:10:36,640 --> 01:10:39,680 Speaker 3: having the voices of other organizations in this space with 1166 01:10:39,760 --> 01:10:42,120 Speaker 3: us who are coming at it from a different lens. 1167 01:10:42,800 --> 01:10:45,240 Speaker 3: So like American Bird Conservancy is a great example that 1168 01:10:45,400 --> 01:10:49,960 Speaker 3: is that is a nonprofit where there is so much 1169 01:10:50,040 --> 01:10:51,760 Speaker 3: alignment in terms of what we want to get done 1170 01:10:51,800 --> 01:10:55,280 Speaker 3: on the ground, and they're talking to a slightly different audience, 1171 01:10:55,960 --> 01:10:59,519 Speaker 3: and they are one hundred percent supportive of the kinds 1172 01:10:59,560 --> 01:11:05,519 Speaker 3: of hunting that we're talking about, sustainable, responsible relationship based. 1173 01:11:07,240 --> 01:11:09,360 Speaker 3: There's no mismatch in terms of what we want to 1174 01:11:09,360 --> 01:11:12,200 Speaker 3: see happen, and it's rooted in good science. And so 1175 01:11:12,640 --> 01:11:14,840 Speaker 3: like this State of the Birds report, you can go 1176 01:11:15,840 --> 01:11:19,439 Speaker 3: ecosystem by ecosystem through the country and talk about the 1177 01:11:19,479 --> 01:11:24,599 Speaker 3: status of sea ducks, western forest birds, shore birds, dabbling, 1178 01:11:24,960 --> 01:11:28,639 Speaker 3: whatever you want to look at. The point I want 1179 01:11:28,640 --> 01:11:34,439 Speaker 3: to make here though, is when it comes to a 1180 01:11:34,560 --> 01:11:37,720 Speaker 3: very troubling picture in terms of bird conservation, including but 1181 01:11:37,800 --> 01:11:39,920 Speaker 3: not limited to rough grouse in American woodcock in the 1182 01:11:39,960 --> 01:11:43,479 Speaker 3: eastern forests of the United States. We know what we 1183 01:11:43,520 --> 01:11:46,200 Speaker 3: need to do in these systems, like we have the 1184 01:11:46,320 --> 01:11:49,080 Speaker 3: science to tell us what we need to do. It's 1185 01:11:49,120 --> 01:11:51,200 Speaker 3: a matter of figuring out how do you scale up 1186 01:11:51,280 --> 01:11:56,040 Speaker 3: and have those outcomes delivered. And we're watching as these species, 1187 01:11:56,120 --> 01:12:01,120 Speaker 3: whether we're talking about whipperwills or woodcock, we're watching not 1188 01:12:01,200 --> 01:12:03,800 Speaker 3: even a gradual like in the span of our lifetime. 1189 01:12:04,040 --> 01:12:07,120 Speaker 3: We're watching these declines happen before our eyes because of 1190 01:12:07,120 --> 01:12:10,599 Speaker 3: our inability to take care of these habitats. So having 1191 01:12:10,640 --> 01:12:15,400 Speaker 3: an organization or a chorus of voices that are coming 1192 01:12:15,400 --> 01:12:19,240 Speaker 3: from different perspectives and talking to different audiences, and obviously 1193 01:12:19,280 --> 01:12:21,760 Speaker 3: the Rough gross Society in American Woodcock Society, we're a 1194 01:12:21,880 --> 01:12:26,200 Speaker 3: very proud hunter conservationist oriented group. But I would offer 1195 01:12:26,240 --> 01:12:29,840 Speaker 3: that anybody who cares about forest health should be really 1196 01:12:29,880 --> 01:12:31,680 Speaker 3: happy about the work that we're doing, whether they ever 1197 01:12:31,720 --> 01:12:33,559 Speaker 3: want to pick up a shotgun or not. Like we're 1198 01:12:33,560 --> 01:12:37,080 Speaker 3: in exactly the same business as the Audubon Society, American 1199 01:12:37,080 --> 01:12:40,519 Speaker 3: Bird Conservancy, the Nature Conservancy, Like we're partnering with these 1200 01:12:40,600 --> 01:12:42,720 Speaker 3: organizations to try to get the same things done. 1201 01:12:44,320 --> 01:12:46,560 Speaker 1: I understand what you're saying, though I don't mean a 1202 01:12:46,600 --> 01:12:49,240 Speaker 1: hack on all those guys. I understand what you're saying 1203 01:12:49,400 --> 01:12:53,120 Speaker 1: in that if you can get again the one hundred million, 1204 01:12:53,120 --> 01:12:55,719 Speaker 1: come on. But whatever, how many are truly there. 1205 01:12:56,560 --> 01:12:59,080 Speaker 3: Feeling less than one in three people who are into 1206 01:12:59,120 --> 01:13:00,240 Speaker 3: birds in there? 1207 01:13:00,479 --> 01:13:04,719 Speaker 1: I don't think that's like an saying where no, Okay, 1208 01:13:06,120 --> 01:13:10,880 Speaker 1: let's say you got let's say you pulled Americans and 1209 01:13:10,920 --> 01:13:14,479 Speaker 1: said do you like the thought of a beach? Okay, 1210 01:13:14,880 --> 01:13:19,400 Speaker 1: hmm and two hundred million ever be like yeah, y sure, 1211 01:13:20,640 --> 01:13:22,320 Speaker 1: I'd be like, hey, when was the last time you 1212 01:13:22,320 --> 01:13:26,679 Speaker 1: were at a beach? Right, it's a smaller number, okay, 1213 01:13:27,160 --> 01:13:30,400 Speaker 1: And then be like, do you plan your schedule around 1214 01:13:30,760 --> 01:13:34,759 Speaker 1: visiting a beach every year? Now, there's a smaller number. 1215 01:13:35,880 --> 01:13:41,800 Speaker 1: Somewhere within that hundred million is hiding a number of like. 1216 01:13:42,160 --> 01:13:47,280 Speaker 3: Diehard birders, hardcore burners, or. 1217 01:13:47,320 --> 01:13:50,200 Speaker 1: Hardcore beach goers. We're like, no, next weekend, I'm flying 1218 01:13:50,280 --> 01:13:52,960 Speaker 1: down to Florida to go to the beach. I'm like that, 1219 01:13:53,040 --> 01:13:58,000 Speaker 1: I'm waxing myself to be as we speak, like that's 1220 01:13:58,000 --> 01:13:59,240 Speaker 1: a beach going to be fair to. 1221 01:13:59,280 --> 01:14:03,320 Speaker 2: Carl though, like hunters suffer from myopia just as much 1222 01:14:03,320 --> 01:14:07,080 Speaker 2: as everyone else. Right, Like, I might be aware of 1223 01:14:07,520 --> 01:14:11,639 Speaker 2: this this bad thing that's happening to rough grouse and 1224 01:14:11,840 --> 01:14:15,000 Speaker 2: woodcock and not be aware of a bunch of other 1225 01:14:15,880 --> 01:14:19,400 Speaker 2: things that are happening with other species that the hardcore 1226 01:14:19,439 --> 01:14:20,559 Speaker 2: birders might be aware. 1227 01:14:20,640 --> 01:14:22,720 Speaker 1: I know. But the reason and we spent way too 1228 01:14:22,760 --> 01:14:24,479 Speaker 1: much time in this say, but I have to I 1229 01:14:24,520 --> 01:14:27,840 Speaker 1: have to have my point to hear the hunt. I 1230 01:14:27,880 --> 01:14:30,200 Speaker 1: don't think, oh they If I thought to myself, oh, 1231 01:14:30,240 --> 01:14:34,600 Speaker 1: thank god, there's one hundred million die hard birder allies 1232 01:14:35,040 --> 01:14:38,719 Speaker 1: out there wanting to fix America's forests, that'd be great, 1233 01:14:38,720 --> 01:14:41,599 Speaker 1: But I don't think that. Yeah, I think it's probably 1234 01:14:41,640 --> 01:14:45,440 Speaker 1: like maybe ten million, maybe as many as there are hunters, 1235 01:14:45,520 --> 01:14:48,479 Speaker 1: like like birders. 1236 01:14:47,960 --> 01:14:52,800 Speaker 3: Yeah, birders who are like America's forest ready, because when 1237 01:14:52,800 --> 01:14:54,640 Speaker 3: you go out and just ask people like do you 1238 01:14:54,800 --> 01:14:55,879 Speaker 3: like seeing a bird? 1239 01:14:56,120 --> 01:15:03,200 Speaker 1: You're not collecting Yeah, people who want to fix America's forests. Right. 1240 01:15:03,479 --> 01:15:06,720 Speaker 3: But so a counterpoint to that argument is, if you 1241 01:15:06,760 --> 01:15:10,160 Speaker 3: were to ask the question about caring about fixing America's forests, 1242 01:15:10,960 --> 01:15:12,680 Speaker 3: you might find a lot of other allies who care 1243 01:15:12,720 --> 01:15:14,120 Speaker 3: about it for reasons other than birds. 1244 01:15:14,920 --> 01:15:17,200 Speaker 1: Bring them on I just couldn't have you say that 1245 01:15:17,280 --> 01:15:22,479 Speaker 1: number without comment. But I'm not surprised that that's here's 1246 01:15:22,479 --> 01:15:27,439 Speaker 1: the way to change, here's the way it changes. I 1247 01:15:27,479 --> 01:15:31,720 Speaker 1: picture there's two things happening with habitat, okay, okay, Like 1248 01:15:31,920 --> 01:15:40,720 Speaker 1: there's loss meaning irrevocable harm, yes, development, right, and then 1249 01:15:40,960 --> 01:15:51,360 Speaker 1: neglect yeah, good word? Okay? Can I don't know, Like, 1250 01:15:51,400 --> 01:15:54,679 Speaker 1: how do you picture the relationship between those two numbers, Like, meaning, 1251 01:15:55,080 --> 01:16:00,360 Speaker 1: for every one hundred acres of subprime bird habitat in 1252 01:16:00,400 --> 01:16:06,479 Speaker 1: the eastern US, right, for every one hundred acres of 1253 01:16:06,680 --> 01:16:10,439 Speaker 1: prime habitat that's been lost in the last fifty years, 1254 01:16:11,360 --> 01:16:18,799 Speaker 1: what is the ratio of acres lost to irrevocable damage, yeah, 1255 01:16:19,240 --> 01:16:24,000 Speaker 1: pavement whatever. And what is the acres lost to mismanagement 1256 01:16:25,280 --> 01:16:26,400 Speaker 1: or neglect? Yeah? 1257 01:16:26,520 --> 01:16:28,400 Speaker 3: I'm not going to hazard a guess on that, but 1258 01:16:28,880 --> 01:16:32,120 Speaker 3: those are the two keys. And I think one thing 1259 01:16:32,160 --> 01:16:35,400 Speaker 3: that I could put a little bit finer point on here. 1260 01:16:35,439 --> 01:16:38,559 Speaker 3: I mean, we know all of us have the stories 1261 01:16:38,600 --> 01:16:40,879 Speaker 3: of the places where we grew up playing the woodlot 1262 01:16:40,880 --> 01:16:42,800 Speaker 3: that you describe with the oak trees getting cut and 1263 01:16:42,800 --> 01:16:44,479 Speaker 3: then all of a sudden boom houses popping up. 1264 01:16:44,479 --> 01:16:46,439 Speaker 1: We've all got those stories rights, we depressed. Every time 1265 01:16:46,479 --> 01:16:47,479 Speaker 1: I visit my mom. 1266 01:16:47,520 --> 01:16:51,479 Speaker 3: I listen, there's a place. There's a place where I 1267 01:16:51,520 --> 01:16:56,600 Speaker 3: had my sort of illicit campground along trout Stream in 1268 01:16:56,680 --> 01:17:00,000 Speaker 3: leland On County that the last time I went check 1269 01:17:00,080 --> 01:17:02,400 Speaker 3: it out, there was a trampoline sitting where my fire. 1270 01:17:02,240 --> 01:17:02,880 Speaker 1: Pit used to be. 1271 01:17:03,880 --> 01:17:08,479 Speaker 3: So we've all got those places, right. We know we're 1272 01:17:08,520 --> 01:17:17,600 Speaker 3: losing ground to development, of course, fragmentation, et cetera. The 1273 01:17:17,680 --> 01:17:20,519 Speaker 3: story of the I like the word neglect because I 1274 01:17:20,520 --> 01:17:22,280 Speaker 3: think a lot of folks, you know, if you're driving 1275 01:17:22,320 --> 01:17:25,519 Speaker 3: through the forests of the eastern United States and looking 1276 01:17:25,520 --> 01:17:26,719 Speaker 3: out your window, you're like, yeah. 1277 01:17:26,600 --> 01:17:28,080 Speaker 1: You know, there's there's a lot of forest here. 1278 01:17:28,479 --> 01:17:32,920 Speaker 3: What we have is a lot of the the forests 1279 01:17:32,920 --> 01:17:37,960 Speaker 3: that have regrown after that era of exploitation, and so 1280 01:17:38,000 --> 01:17:42,040 Speaker 3: we have a tremendous amount of like middle aged forest 1281 01:17:42,560 --> 01:17:46,479 Speaker 3: that is very homogeneous, very much the same, like eighty 1282 01:17:46,520 --> 01:17:50,760 Speaker 3: to one and twenty years old. I mean, yeah, so 1283 01:17:51,160 --> 01:17:55,320 Speaker 3: I'm using like some non precise, non scientific language, but 1284 01:17:55,320 --> 01:17:57,439 Speaker 3: if you think about the timeline of when these forests 1285 01:17:57,439 --> 01:18:01,360 Speaker 3: were slicked off, when the when the era of exploitation 1286 01:18:01,560 --> 01:18:05,439 Speaker 3: and liquidation of our timber resources occurred, a lot of 1287 01:18:05,479 --> 01:18:08,280 Speaker 3: what we have now is the growth that has replaced. 1288 01:18:08,400 --> 01:18:10,879 Speaker 2: If you were standing in a middle aged forest, what would. 1289 01:18:10,680 --> 01:18:11,160 Speaker 1: You be seeing. 1290 01:18:11,320 --> 01:18:14,240 Speaker 3: Well, that's so, that's great, especially in these in these landscapes. 1291 01:18:14,240 --> 01:18:15,400 Speaker 3: I'll tell you a few things you're going to see. 1292 01:18:15,400 --> 01:18:20,240 Speaker 3: You're going to see. Take a canopy overhead that is 1293 01:18:20,520 --> 01:18:23,880 Speaker 3: allowing very little sunlight to hit the forest floor. You're 1294 01:18:23,920 --> 01:18:29,320 Speaker 3: going to see very little understory, plant diversity or community. 1295 01:18:30,560 --> 01:18:31,640 Speaker 2: There's leaf litter on. 1296 01:18:31,800 --> 01:18:32,519 Speaker 1: A lot of leaf litter. 1297 01:18:32,560 --> 01:18:34,599 Speaker 3: And I'll throw I'll throw a cool term out here 1298 01:18:34,800 --> 01:18:36,479 Speaker 3: and a shout out to one of my retired Forest 1299 01:18:36,479 --> 01:18:40,040 Speaker 3: Service colleagues, a guy named Greg Miwaki, who coined this 1300 01:18:40,160 --> 01:18:48,000 Speaker 3: term mesofication, which refers to the increasing sort of moisture 1301 01:18:48,160 --> 01:18:50,400 Speaker 3: tolerance of a forest over time. So a lot of 1302 01:18:50,400 --> 01:18:52,519 Speaker 3: our forests in the East, when you think about that 1303 01:18:52,600 --> 01:18:56,679 Speaker 3: era of all this disruption occurring the passenger pigeons, the bison, 1304 01:18:56,840 --> 01:19:01,920 Speaker 3: the elk, you had four forest where things were drier 1305 01:19:02,000 --> 01:19:04,679 Speaker 3: as a result of more sunlight hitting the forest floor. 1306 01:19:05,080 --> 01:19:08,080 Speaker 3: So in places like Indiana is a perfect example where 1307 01:19:08,640 --> 01:19:14,400 Speaker 3: the species of woody vegetation that are less tolerant of shade, 1308 01:19:14,439 --> 01:19:17,040 Speaker 3: so like oaks, are a prime example, we historically had 1309 01:19:17,080 --> 01:19:20,920 Speaker 3: tons more oaks on the landscape, much more fire maintaining 1310 01:19:20,960 --> 01:19:25,000 Speaker 3: those oaks. If you just take a hands off approaching 1311 01:19:25,000 --> 01:19:30,040 Speaker 3: those systems, remove all those drivers of disturbance, you'll start 1312 01:19:30,280 --> 01:19:33,479 Speaker 3: a successional process where in the understore you'll start getting 1313 01:19:33,880 --> 01:19:37,320 Speaker 3: shade tolerant species like red Maple's a good example that'll 1314 01:19:37,320 --> 01:19:39,920 Speaker 3: come up in the understory. And then if the oaks 1315 01:19:40,040 --> 01:19:44,760 Speaker 3: are dropping their acorns in a sea of red maple seedlings, 1316 01:19:45,080 --> 01:19:47,400 Speaker 3: those oak seedlings are going to be out competed because 1317 01:19:47,439 --> 01:19:49,879 Speaker 3: they don't do as well in the absence of direct sunlight. 1318 01:19:50,320 --> 01:19:53,120 Speaker 3: So you have a canopy come up eventually to where 1319 01:19:53,680 --> 01:19:56,559 Speaker 3: red maple will be the dominant species and the oaks 1320 01:19:56,600 --> 01:20:00,720 Speaker 3: will not come back. So that transition from shade intolerant 1321 01:20:00,720 --> 01:20:05,519 Speaker 3: to shade tolerant species, which corresponds to increasing moisture content 1322 01:20:06,040 --> 01:20:10,719 Speaker 3: in the understory. That's musification referring to a more music 1323 01:20:10,880 --> 01:20:13,160 Speaker 3: site as opposed to a more it's xeric site. So 1324 01:20:13,200 --> 01:20:15,360 Speaker 3: a music site is more moist, a xerox site is 1325 01:20:15,400 --> 01:20:19,439 Speaker 3: more dry. My good buddy Gregnawaki was the one who 1326 01:20:19,560 --> 01:20:24,280 Speaker 3: kind of termed this this musification idea through his research 1327 01:20:24,280 --> 01:20:25,960 Speaker 3: looking at that change over time. So if you're in 1328 01:20:26,000 --> 01:20:30,280 Speaker 3: this forest stand, you're going to have a very consistent 1329 01:20:30,439 --> 01:20:33,640 Speaker 3: aged overstory. Like all the trees came up in the 1330 01:20:33,680 --> 01:20:37,320 Speaker 3: same cohort, made it to the canopy, they're now shading 1331 01:20:37,320 --> 01:20:40,839 Speaker 3: out the understory. You don't have the robust grass forbed 1332 01:20:40,880 --> 01:20:44,439 Speaker 3: shrub understory. You don't have a lot of mid mid 1333 01:20:44,479 --> 01:20:45,760 Speaker 3: canopy complexity. 1334 01:20:45,920 --> 01:20:48,240 Speaker 1: Squirrel, see you way too far away, squirrel, see you 1335 01:20:48,280 --> 01:20:49,040 Speaker 1: way too far away. 1336 01:20:49,200 --> 01:20:51,320 Speaker 3: There's and you're not going to have. You're not going 1337 01:20:51,400 --> 01:20:56,040 Speaker 3: to have nesting habitat for a whole spec a whole 1338 01:20:56,080 --> 01:20:59,680 Speaker 3: cadre of species of birds that require that diversity. And 1339 01:20:59,720 --> 01:21:03,559 Speaker 3: also so like the understory plant community, the pollinators. You know, 1340 01:21:03,600 --> 01:21:07,160 Speaker 3: we could talk about rusty patch bumblebee comes to mind, 1341 01:21:07,160 --> 01:21:09,760 Speaker 3: a species listed under the Endangered Species Act, where we're 1342 01:21:09,760 --> 01:21:11,800 Speaker 3: not talking about birds anymore, we're talking about insects. But 1343 01:21:11,920 --> 01:21:15,120 Speaker 3: it's the same story of disturbance being a limiting factor. 1344 01:21:16,000 --> 01:21:19,400 Speaker 3: So the forest is going to have a closed canopy, 1345 01:21:19,439 --> 01:21:21,240 Speaker 3: it's going to be real shady, it's going to look 1346 01:21:21,280 --> 01:21:23,720 Speaker 3: the same as far as you can see. And I 1347 01:21:23,720 --> 01:21:25,640 Speaker 3: think if folks pay attention as you're driving through a 1348 01:21:25,640 --> 01:21:28,120 Speaker 3: lot of these eastern forests. You're going to notice some 1349 01:21:28,120 --> 01:21:30,400 Speaker 3: of those characteristics. And I'll throw one more thing out 1350 01:21:30,400 --> 01:21:33,160 Speaker 3: there for you. Now, that's very different from what things 1351 01:21:33,160 --> 01:21:35,840 Speaker 3: looked like three or four hundred years ago on these landscapes, 1352 01:21:36,200 --> 01:21:39,040 Speaker 3: and that is an overabundance of white tail deer, which 1353 01:21:39,040 --> 01:21:41,639 Speaker 3: are not a replacement for the elk and the bison. 1354 01:21:42,280 --> 01:21:45,719 Speaker 3: The browsing dynamics of white tail deer in these systems 1355 01:21:46,160 --> 01:21:50,200 Speaker 3: are a very different driver of disruption ecologically. 1356 01:21:51,080 --> 01:21:51,840 Speaker 1: Come up, they're not. 1357 01:21:51,840 --> 01:21:56,760 Speaker 3: Letting any of those species join the you know, the 1358 01:21:56,800 --> 01:21:59,479 Speaker 3: older age classes. So this is where you get into 1359 01:21:59,600 --> 01:22:01,160 Speaker 3: maybe an feature that you're going to see in a 1360 01:22:01,160 --> 01:22:03,479 Speaker 3: lot of places as a pronounced browse line from white 1361 01:22:03,479 --> 01:22:07,479 Speaker 3: tail deer, which is a whole other set of ecological issues. 1362 01:22:07,560 --> 01:22:10,840 Speaker 3: So this is where you know, we can't fall into 1363 01:22:10,880 --> 01:22:13,160 Speaker 3: the trap of thinking, oh, well, we've got deer, and 1364 01:22:13,600 --> 01:22:15,920 Speaker 3: so maybe deer playing the role that elker bison did. 1365 01:22:16,200 --> 01:22:19,679 Speaker 3: Deer in the absence of sufficient predation are another driver 1366 01:22:19,800 --> 01:22:23,400 Speaker 3: of a decline of ecological integrity in these systems. So 1367 01:22:23,439 --> 01:22:25,080 Speaker 3: that's I think a good picture of what you'd see. 1368 01:22:25,120 --> 01:22:27,880 Speaker 3: And then the other piece is if you are one 1369 01:22:27,880 --> 01:22:31,000 Speaker 3: of these maybe ten million diehard burds. And you're out 1370 01:22:31,000 --> 01:22:34,400 Speaker 3: there with your Cornell Lab of Ornithology app and you're 1371 01:22:34,400 --> 01:22:37,000 Speaker 3: listening to the birds, you're going to hear very little 1372 01:22:37,439 --> 01:22:40,679 Speaker 3: diversity in those systems as well, for a variety of reasons, 1373 01:22:40,680 --> 01:22:43,439 Speaker 3: but the structural complexity lacking being one of the keys. 1374 01:22:43,560 --> 01:22:45,719 Speaker 2: I wanted to ask about the woodcock because you guys 1375 01:22:45,800 --> 01:22:49,880 Speaker 2: just recently kind of took woodcock under your officially under 1376 01:22:49,920 --> 01:22:55,400 Speaker 2: your umbrella. Yeah, are they Are they more at risk 1377 01:22:56,720 --> 01:22:59,360 Speaker 2: for these kinds of problems because they migrate? Or are 1378 01:22:59,400 --> 01:23:02,240 Speaker 2: they better able to deal with these problems because they 1379 01:23:02,280 --> 01:23:06,559 Speaker 2: migrate because rough grasse, like you said, like small home range, 1380 01:23:06,640 --> 01:23:10,000 Speaker 2: right right, woodcock might fly nine hundred one. 1381 01:23:09,920 --> 01:23:11,479 Speaker 1: Thousand, Yeah, twice a year. 1382 01:23:11,640 --> 01:23:13,320 Speaker 3: Brody, you're the man. I'm so glad we could talk 1383 01:23:13,360 --> 01:23:14,759 Speaker 3: about woodcock a little bit man. 1384 01:23:14,720 --> 01:23:20,640 Speaker 1: Timberdoodle, timberdoodle, mud bat man, bog partridge, bog sucker, the 1385 01:23:20,720 --> 01:23:23,400 Speaker 1: names go on. Uh yeah, the timberdoodle. 1386 01:23:23,920 --> 01:23:26,280 Speaker 2: Thank you, because if you asked my my buddy in 1387 01:23:26,280 --> 01:23:29,679 Speaker 2: Pennsylvania I was talking about, he would be like, holy crap, 1388 01:23:29,800 --> 01:23:31,559 Speaker 2: is the woodcock hunting good these days? 1389 01:23:31,600 --> 01:23:32,360 Speaker 1: Well? Was it really? 1390 01:23:32,400 --> 01:23:32,559 Speaker 4: Oh? 1391 01:23:32,640 --> 01:23:32,960 Speaker 2: Yeah? 1392 01:23:33,040 --> 01:23:34,639 Speaker 1: Yeah? So if you're the only birds, but we can 1393 01:23:34,680 --> 01:23:35,960 Speaker 1: trust him with his own beak. 1394 01:23:37,360 --> 01:23:40,960 Speaker 3: Listen, Woodcock Man, just do a whole separate episode just 1395 01:23:41,000 --> 01:23:41,639 Speaker 3: on Woodcock. 1396 01:23:42,760 --> 01:23:43,720 Speaker 1: Listen. Here's the thing. 1397 01:23:45,320 --> 01:23:48,240 Speaker 3: A really cool aspect of working for this organization is 1398 01:23:49,320 --> 01:23:52,120 Speaker 3: you have the opportunity to focus on this high sight 1399 01:23:52,200 --> 01:23:55,560 Speaker 3: fidelity king of king of Upland game birds, where you know, 1400 01:23:55,600 --> 01:23:59,000 Speaker 3: everything we've been talking around about forest diversity and managing 1401 01:23:59,000 --> 01:24:02,000 Speaker 3: it at a tight local scale is the key. And 1402 01:24:02,000 --> 01:24:03,600 Speaker 3: then you get to shift gears and talk about a 1403 01:24:03,640 --> 01:24:07,559 Speaker 3: migratory Upland game bird that is just this like bizarre, 1404 01:24:07,760 --> 01:24:09,560 Speaker 3: amazing outlier. 1405 01:24:09,200 --> 01:24:11,679 Speaker 2: Birders love them because they do that cool little dance. 1406 01:24:15,000 --> 01:24:17,000 Speaker 1: Go down to the gas line, like not a mile 1407 01:24:17,000 --> 01:24:18,280 Speaker 1: away from the house and watch them. 1408 01:24:18,360 --> 01:24:21,240 Speaker 3: They are They are so damn cool. There might be 1409 01:24:22,720 --> 01:24:26,280 Speaker 3: one of my half jokingly sometimes say to folks on 1410 01:24:26,280 --> 01:24:28,880 Speaker 3: our team at RGS and AWS, I'm like, you know, 1411 01:24:28,920 --> 01:24:30,720 Speaker 3: people think I came for the rough gross, but I'm 1412 01:24:30,720 --> 01:24:34,840 Speaker 3: really here for the Woodcock Man. So I think the 1413 01:24:34,880 --> 01:24:38,720 Speaker 3: answer to your question, Brody is the fact that Woodcock 1414 01:24:39,880 --> 01:24:45,120 Speaker 3: operate ecologically at a continental scale. You need you really 1415 01:24:45,200 --> 01:24:48,439 Speaker 3: need those habitat elements to be in the right places 1416 01:24:48,479 --> 01:24:50,320 Speaker 3: at the right times. At a at a scale that 1417 01:24:50,479 --> 01:24:55,160 Speaker 3: makes it makes the system much more fragile to disruption, right, 1418 01:24:55,200 --> 01:24:58,200 Speaker 3: and we're seeing that in terms of woodcock declines. So 1419 01:24:58,400 --> 01:25:00,799 Speaker 3: I'll give you like a quick stat here that's helpful. 1420 01:25:02,320 --> 01:25:05,280 Speaker 3: State agencies. State fish and Wildlife agencies are responsible for 1421 01:25:05,320 --> 01:25:08,040 Speaker 3: developing state wildlife Action plans in order to qualify for 1422 01:25:08,080 --> 01:25:12,200 Speaker 3: federal funding through Pittman Robertson at So, every state Fish 1423 01:25:12,200 --> 01:25:15,280 Speaker 3: and Wildlife agency has a state Wildlife Action Plan. And 1424 01:25:15,320 --> 01:25:17,040 Speaker 3: one of the things that happens in these state Wildlife 1425 01:25:17,080 --> 01:25:19,960 Speaker 3: Action plans is they go through all the species and 1426 01:25:20,000 --> 01:25:22,760 Speaker 3: they try to identify what ones warrant listing as a 1427 01:25:22,800 --> 01:25:26,519 Speaker 3: species of greatest conservation need. That's an indicator that a 1428 01:25:26,520 --> 01:25:33,880 Speaker 3: particular critter is in some level of decline or threat. 1429 01:25:34,680 --> 01:25:37,640 Speaker 3: And for rough grouse, there are currently eighteen states that 1430 01:25:37,720 --> 01:25:40,120 Speaker 3: have rough grouse listed as. 1431 01:25:40,000 --> 01:25:42,960 Speaker 1: A species of greatest Ohio. 1432 01:25:43,520 --> 01:25:47,400 Speaker 3: Ohio is right now considering what to do with their 1433 01:25:47,479 --> 01:25:49,559 Speaker 3: hunting season, and there's a proposal on the table. Just 1434 01:25:49,600 --> 01:25:50,880 Speaker 3: in the next couple of weeks they're going to be 1435 01:25:51,280 --> 01:25:58,000 Speaker 3: talking about a proposal to reduce the rough grouse hunting 1436 01:25:58,040 --> 01:26:01,160 Speaker 3: season to include just a handful of properties where we 1437 01:26:01,200 --> 01:26:03,439 Speaker 3: know we still have grouse on the landscape versus just 1438 01:26:03,520 --> 01:26:07,640 Speaker 3: closing it out right. But back to this idea of 1439 01:26:07,680 --> 01:26:09,960 Speaker 3: the state Wildlife Action Plan. So eighteen of them have 1440 01:26:10,160 --> 01:26:13,040 Speaker 3: rough grouse listed, twenty nine of them have American woodcocks. 1441 01:26:13,560 --> 01:26:17,360 Speaker 3: Really the greatest conservation need, and that includes Michigan, Wisconsin, 1442 01:26:17,640 --> 01:26:20,000 Speaker 3: Minnesota like states where we're sort of in the bread 1443 01:26:20,040 --> 01:26:25,760 Speaker 3: basket of upland bird hunting. And this year, one of 1444 01:26:25,800 --> 01:26:28,880 Speaker 3: the highlights of the time I've been with this organization 1445 01:26:29,040 --> 01:26:31,040 Speaker 3: was I had a chance back in December to go 1446 01:26:31,040 --> 01:26:34,000 Speaker 3: down to Louisiana, flew down to Baton Rouge and had 1447 01:26:34,000 --> 01:26:36,360 Speaker 3: a chance to spend some time with folks from the 1448 01:26:36,400 --> 01:26:39,040 Speaker 3: state agency down there, and we went out and banded. 1449 01:26:39,080 --> 01:26:41,720 Speaker 3: We banded fifty three woodcock one night on one of 1450 01:26:41,720 --> 01:26:46,519 Speaker 3: their state game areas, which was an absolute oh man. 1451 01:26:47,640 --> 01:26:51,840 Speaker 3: It is such a cool example of technology and action. 1452 01:26:52,040 --> 01:26:56,240 Speaker 3: So the biologists down there, and I'll give a shout 1453 01:26:56,240 --> 01:26:59,160 Speaker 3: out to Richard Temple at the Louisiana Department of Wildlife 1454 01:26:59,160 --> 01:27:05,880 Speaker 3: and Fisheries, he and the team from the state. First, 1455 01:27:05,880 --> 01:27:08,960 Speaker 3: they have a drone with infrared and they fly it 1456 01:27:09,000 --> 01:27:12,519 Speaker 3: over these open fields at night and the infrared camera 1457 01:27:13,080 --> 01:27:17,120 Speaker 3: can I mean, these woodcock glow like they blow up 1458 01:27:17,200 --> 01:27:20,400 Speaker 3: out of the background. And then the drone also has 1459 01:27:20,439 --> 01:27:24,880 Speaker 3: a spotlight on it, so they can hover like I 1460 01:27:24,880 --> 01:27:27,680 Speaker 3: don't know, one hundred feet above the field see where 1461 01:27:27,680 --> 01:27:30,800 Speaker 3: these woodcock are. And then they can they have a 1462 01:27:30,880 --> 01:27:34,559 Speaker 3: camera with such incredible resolution that you can, like you 1463 01:27:34,560 --> 01:27:39,680 Speaker 3: can see the woodcock blink from the drone, and if 1464 01:27:39,720 --> 01:27:44,040 Speaker 3: a woodcock defecates, you can see like the heat of 1465 01:27:44,439 --> 01:27:48,040 Speaker 3: the splash at a woodcock's back. So it's just incredible 1466 01:27:48,280 --> 01:27:51,200 Speaker 3: view of the field. And then we go out with 1467 01:27:51,840 --> 01:27:54,080 Speaker 3: like a four wheeler and spotlights on the ground, and 1468 01:27:54,120 --> 01:27:55,960 Speaker 3: basically it's like a deer in the headlights. You shine 1469 01:27:55,960 --> 01:27:57,880 Speaker 3: a spotlight on the woodcock and you can take a 1470 01:27:57,920 --> 01:28:00,000 Speaker 3: fishing net or even you can grab them by your 1471 01:28:00,040 --> 01:28:03,920 Speaker 3: bare hand with the spotlight shining on the bird. And 1472 01:28:03,920 --> 01:28:08,200 Speaker 3: then we're aging them and sexing them and releasing them. 1473 01:28:09,000 --> 01:28:13,200 Speaker 3: And I have to say, like, after having a lot 1474 01:28:13,200 --> 01:28:16,320 Speaker 3: of woodcock, like dead woodcock in my hands, or having 1475 01:28:16,360 --> 01:28:19,479 Speaker 3: a woodcock that's crippled and you're dispatching it, to have 1476 01:28:19,560 --> 01:28:22,599 Speaker 3: these little woodcock that we're banding and releasing watching them 1477 01:28:22,640 --> 01:28:24,880 Speaker 3: fly away out of my hands was it was pretty 1478 01:28:24,920 --> 01:28:27,679 Speaker 3: damn cool man. So we did all this banding work 1479 01:28:28,439 --> 01:28:30,280 Speaker 3: and then also did some hunting. I was down there 1480 01:28:30,280 --> 01:28:32,719 Speaker 3: for the opener of the woodcock season, got to hunt 1481 01:28:32,840 --> 01:28:36,880 Speaker 3: with a guy named Paul Paul Frischertz and Keene Jones, 1482 01:28:36,920 --> 01:28:38,479 Speaker 3: who are a couple of guys down there looking to 1483 01:28:39,040 --> 01:28:42,800 Speaker 3: kind of resurrect a American Woodcock Society chapter and their 1484 01:28:42,800 --> 01:28:46,720 Speaker 3: bevy of pointing dogs. But the coolest part about all 1485 01:28:46,760 --> 01:28:54,719 Speaker 3: of that experience was when the biologist, this guy, Richard Temple, 1486 01:28:55,800 --> 01:28:58,439 Speaker 3: showed me the map of the band return data. Saw 1487 01:28:58,439 --> 01:29:00,519 Speaker 3: all these woodcock that their their band right there on 1488 01:29:00,600 --> 01:29:03,720 Speaker 3: Baton Rouge. He puts up this map of where the 1489 01:29:03,760 --> 01:29:05,680 Speaker 3: bands have been returned from, Like hunters have shot a 1490 01:29:05,720 --> 01:29:07,599 Speaker 3: woodcock that's banned and they call it in, just like 1491 01:29:07,760 --> 01:29:10,120 Speaker 3: what we're used to with ducks and geese. And there 1492 01:29:10,120 --> 01:29:12,160 Speaker 3: were a couple of points that were within like fifteen 1493 01:29:12,200 --> 01:29:15,360 Speaker 3: miles of my family camp up in the west, like 1494 01:29:15,640 --> 01:29:18,919 Speaker 3: right where I grouse in Woodcock con Man. So these birds, 1495 01:29:19,080 --> 01:29:21,040 Speaker 3: you know, you're down here, like worried about your dog 1496 01:29:21,160 --> 01:29:23,880 Speaker 3: running into a cotton mouth. There's alligators hanging out in 1497 01:29:23,920 --> 01:29:27,519 Speaker 3: these like bayous hanging out with all these great Cajun 1498 01:29:27,760 --> 01:29:32,280 Speaker 3: upland bird hunting guys. But it's exactly exactly the same 1499 01:29:32,400 --> 01:29:36,639 Speaker 3: individual birds that were chasing around like in October up 1500 01:29:36,680 --> 01:29:40,840 Speaker 3: in Wisconsin, Michigan, Minnesota. Here they are down in you know, 1501 01:29:41,000 --> 01:29:44,320 Speaker 3: the Gulf coast in December. So I had that experience. 1502 01:29:44,360 --> 01:29:46,240 Speaker 3: And then I'm flying back, you know, I'm on my 1503 01:29:46,280 --> 01:29:50,559 Speaker 3: trip from Baton Rouge back up to Milwaukee, and I'm 1504 01:29:50,600 --> 01:29:54,760 Speaker 3: looking out the window, just watching the miles right pass 1505 01:29:54,840 --> 01:29:57,599 Speaker 3: under the plane, and I'm thinking about this, these little 1506 01:29:57,600 --> 01:30:02,320 Speaker 3: birds like just making that. And then they're also nesting, 1507 01:30:02,360 --> 01:30:05,880 Speaker 3: like they're they're laying eggs and hatching chicks during their 1508 01:30:05,920 --> 01:30:09,639 Speaker 3: return migrations north too. So you've got the you've got 1509 01:30:09,680 --> 01:30:12,439 Speaker 3: like the summer ground in the north, you've got the 1510 01:30:12,439 --> 01:30:15,240 Speaker 3: wintering ground, and then there's all this stopover habitat where 1511 01:30:15,760 --> 01:30:18,200 Speaker 3: we know these birds are nesting. Part of the reason 1512 01:30:18,240 --> 01:30:22,439 Speaker 3: we know that is this amazing collaborative called the Eastern 1513 01:30:22,439 --> 01:30:23,799 Speaker 3: Woodcock Migration Research. 1514 01:30:23,880 --> 01:30:25,840 Speaker 1: They're not nesting in their northern chunk. 1515 01:30:26,000 --> 01:30:28,160 Speaker 3: They do most of their nesting in their northern chunk. 1516 01:30:28,200 --> 01:30:32,360 Speaker 3: But what the recent research has demonstrated is that there 1517 01:30:32,400 --> 01:30:39,880 Speaker 3: are hens rearing clutches rearing chicks during this you know, 1518 01:30:40,080 --> 01:30:41,880 Speaker 3: it's not like a cut and dried, like I'm going 1519 01:30:41,920 --> 01:30:44,599 Speaker 3: back to Minnesota to lay my eggs right like it's 1520 01:30:44,640 --> 01:30:52,240 Speaker 3: happening over that latitudinal gradient north yep. And so I've been, 1521 01:30:53,600 --> 01:30:57,240 Speaker 3: you know, academically like, oh, yeah, they're migratory. And your 1522 01:30:57,240 --> 01:30:59,679 Speaker 3: buddy him talking about man, the woodcock cutting sure has. 1523 01:30:59,560 --> 01:31:00,400 Speaker 1: Been great lately. 1524 01:31:00,640 --> 01:31:04,280 Speaker 3: It's like, yeah, it might be like Monday, there's woodcock everywhere, 1525 01:31:04,360 --> 01:31:08,200 Speaker 3: and then Tuesday like right gone, right, And anybody who's 1526 01:31:08,280 --> 01:31:11,960 Speaker 3: hunted woodcock when when you hit these migration events, it 1527 01:31:12,000 --> 01:31:17,280 Speaker 3: can be like you can't you can't walk without bumping birds, 1528 01:31:17,320 --> 01:31:20,479 Speaker 3: like I've had. I've had situations where you know, I'm 1529 01:31:20,560 --> 01:31:23,600 Speaker 3: hunting pointing dogs. I'll have a dog on point, a 1530 01:31:23,600 --> 01:31:26,839 Speaker 3: bird goes up, shoot the bird, dog goes to retrieve 1531 01:31:26,880 --> 01:31:28,519 Speaker 3: the bird, but like points another bird on its way 1532 01:31:28,520 --> 01:31:30,040 Speaker 3: to get the dead bird, or it's bringing a bird 1533 01:31:30,080 --> 01:31:32,360 Speaker 3: back and pointing another bird on there. Like when you 1534 01:31:32,400 --> 01:31:34,880 Speaker 3: get into these flights, it can be amazing. But the 1535 01:31:34,960 --> 01:31:38,959 Speaker 3: big picture in terms of woodcock numbers is a gradual 1536 01:31:39,040 --> 01:31:43,120 Speaker 3: decline continentally. So you need the good habitat in the north. 1537 01:31:43,120 --> 01:31:44,519 Speaker 3: You need the good habitat in the south. You need 1538 01:31:44,520 --> 01:31:49,160 Speaker 3: the habitat along the way. And one of the really 1539 01:31:49,200 --> 01:31:52,200 Speaker 3: exciting things is this this work being let out of 1540 01:31:52,200 --> 01:31:56,680 Speaker 3: the University of Maine, the Eastern Woodcock Migration Research Cooperative. 1541 01:31:57,400 --> 01:32:03,160 Speaker 3: The two leads Eric Blomberg and doctor Amber Roth are 1542 01:32:04,439 --> 01:32:09,720 Speaker 3: leading a collaborative to try to understand the use of 1543 01:32:09,800 --> 01:32:13,680 Speaker 3: habitat during this migratory period. And they've put out at 1544 01:32:13,680 --> 01:32:16,880 Speaker 3: this point over seven hundred backpack transmitters on Woodcock. They 1545 01:32:16,920 --> 01:32:20,160 Speaker 3: and their collaborators, lots of other academic institutions. One of 1546 01:32:20,200 --> 01:32:23,400 Speaker 3: our team members, one of our forest conservation director, Sarah 1547 01:32:23,479 --> 01:32:27,880 Speaker 3: serv has been a collaborator in this work. They've got 1548 01:32:27,920 --> 01:32:33,440 Speaker 3: like thirty thousand, actually close to forty thousand GPS coordinates 1549 01:32:33,439 --> 01:32:36,760 Speaker 3: of migrating Woodcock now, so we can see at the 1550 01:32:36,800 --> 01:32:39,280 Speaker 3: flyway scale, like here are places that are very important 1551 01:32:39,280 --> 01:32:42,760 Speaker 3: for us to think about providing habitat, whether it's along 1552 01:32:42,800 --> 01:32:48,639 Speaker 3: the Atlantic coast or along the Mississippi Flyway. Being able 1553 01:32:48,640 --> 01:32:51,080 Speaker 3: to target these treatments in a way where you're providing 1554 01:32:51,520 --> 01:32:55,200 Speaker 3: key habitat in places where it might be limited, and 1555 01:32:55,280 --> 01:32:58,280 Speaker 3: it gives you just some tremendous insights into the trials 1556 01:32:58,320 --> 01:33:00,840 Speaker 3: and tribulations. I mean one thing folks are interested in. 1557 01:33:00,840 --> 01:33:04,200 Speaker 3: Looking at recent news stories, these big spring storms or 1558 01:33:04,320 --> 01:33:06,280 Speaker 3: I guess late winter storms is a better way to 1559 01:33:06,280 --> 01:33:08,960 Speaker 3: describe it. Obviously that have happened on the East coast. 1560 01:33:10,400 --> 01:33:15,040 Speaker 3: There have been some tremendous woodcock casualties as a result. 1561 01:33:16,160 --> 01:33:19,519 Speaker 3: There's a point in New Jersey called Cape May, which 1562 01:33:19,560 --> 01:33:22,719 Speaker 3: is sort of like a funnel along the Atlantic Flyway 1563 01:33:22,760 --> 01:33:26,440 Speaker 3: that is notorious for getting lots lots of young woodcock 1564 01:33:26,640 --> 01:33:30,000 Speaker 3: and into that area. And that's a place where a 1565 01:33:30,080 --> 01:33:34,520 Speaker 3: couple of big storms go between frozen ground and snowfall 1566 01:33:34,920 --> 01:33:39,599 Speaker 3: and really cold temperatures. They had hundreds of woodcock die 1567 01:33:39,760 --> 01:33:42,400 Speaker 3: on site, like freezing and starving on site during these 1568 01:33:42,439 --> 01:33:48,320 Speaker 3: migration events. So that all paints a picture of just 1569 01:33:48,400 --> 01:33:53,799 Speaker 3: how demanding for a bird of that size these seasonal 1570 01:33:53,840 --> 01:33:56,559 Speaker 3: migrations are. Like any bird that makes it through one 1571 01:33:56,560 --> 01:33:59,799 Speaker 3: of those cycles and is able to reproduce and rear offspring, 1572 01:34:00,520 --> 01:34:01,680 Speaker 3: it's a hell of an accomplishment. 1573 01:34:01,800 --> 01:34:05,440 Speaker 2: Yeah, Like you know, a two three year old turkey's 1574 01:34:05,560 --> 01:34:08,280 Speaker 2: an old man, Like gobbler's an old man. Like how 1575 01:34:08,680 --> 01:34:11,320 Speaker 2: like rough grouse and woodcock like I assume like not 1576 01:34:11,439 --> 01:34:13,000 Speaker 2: many make a pass the first. 1577 01:34:12,800 --> 01:34:16,800 Speaker 3: Year, very high mortality from one age class to the next, 1578 01:34:16,840 --> 01:34:17,200 Speaker 3: for sure. 1579 01:34:17,479 --> 01:34:17,759 Speaker 1: Yeah. 1580 01:34:17,800 --> 01:34:21,839 Speaker 3: And in the case of woodcock, you know, the migration 1581 01:34:22,560 --> 01:34:26,599 Speaker 3: poses a whole set of risks that rough grouse aren't 1582 01:34:26,600 --> 01:34:29,000 Speaker 3: subject to. You know, they're flying into windows, they're flying 1583 01:34:29,040 --> 01:34:32,160 Speaker 3: into buildings, they're getting smoked by owls. A lot of 1584 01:34:32,200 --> 01:34:35,840 Speaker 3: the movement that woodcock are engaging in during migration is 1585 01:34:35,840 --> 01:34:40,599 Speaker 3: happening at night as well, so they Yeah, they're subject 1586 01:34:40,640 --> 01:34:43,040 Speaker 3: to very high mortality. And certainly in the case of 1587 01:34:43,080 --> 01:34:45,519 Speaker 3: grouse too, Like there's nothing in the woods that eats 1588 01:34:45,680 --> 01:34:47,920 Speaker 3: meat that doesn't want to eat a grouse, right, Like 1589 01:34:47,960 --> 01:34:50,720 Speaker 3: a grouse is a snack for anything out there, So 1590 01:34:50,960 --> 01:34:54,639 Speaker 3: very high mortality during that first Basically, if you look 1591 01:34:54,640 --> 01:34:57,120 Speaker 3: at from year zero to one, one to two, two 1592 01:34:57,200 --> 01:35:00,479 Speaker 3: to three, every one of those stages, you're seeing very 1593 01:35:00,520 --> 01:35:02,120 Speaker 3: immortality for both of these species. 1594 01:35:03,320 --> 01:35:04,880 Speaker 2: I had a question I wanted to ask you, and 1595 01:35:05,200 --> 01:35:07,559 Speaker 2: that actually has to do with turkeys and maybe a 1596 01:35:07,560 --> 01:35:13,839 Speaker 2: conspiracy theory. Is there any correlation between like the rise 1597 01:35:14,240 --> 01:35:18,320 Speaker 2: of the wild turkey, like the comeback, yeah, and the 1598 01:35:18,360 --> 01:35:21,400 Speaker 2: fall of the grouse because it's kind of like happening 1599 01:35:21,439 --> 01:35:22,479 Speaker 2: at the same time, right. 1600 01:35:22,520 --> 01:35:25,719 Speaker 3: Yeah, I've heard those stories, and I think my answer 1601 01:35:25,800 --> 01:35:29,920 Speaker 3: to that is when it comes to thinking about drivers 1602 01:35:29,960 --> 01:35:34,040 Speaker 3: of either success or failure for both rough grouse and 1603 01:35:34,160 --> 01:35:39,439 Speaker 3: wild turkeys, and like, pick your hunted species if you 1604 01:35:39,439 --> 01:35:40,760 Speaker 3: want to just look at us at this from the 1605 01:35:40,840 --> 01:35:42,760 Speaker 3: lens of hunting, I mean whitetail deer. You mentioned your 1606 01:35:42,760 --> 01:35:43,960 Speaker 3: story from Michigan, Steve. 1607 01:35:45,640 --> 01:35:46,320 Speaker 1: We're dealing with. 1608 01:35:46,280 --> 01:35:52,480 Speaker 3: Species that evolved with forests where disturbance equals habitat period. 1609 01:35:52,680 --> 01:35:54,280 Speaker 3: So when we talk about doing things that are good 1610 01:35:54,320 --> 01:35:56,040 Speaker 3: for grouse, or doing things that are good for turkey, 1611 01:35:56,400 --> 01:35:58,080 Speaker 3: or doing things that are good for white tail deer, 1612 01:35:58,560 --> 01:36:01,840 Speaker 3: we're talking about benefiting the four and the rising tide 1613 01:36:01,840 --> 01:36:04,599 Speaker 3: lifting all boats, and this idea of like, oh, we've 1614 01:36:04,600 --> 01:36:06,439 Speaker 3: got turkeys back on the landscape now, that's going to 1615 01:36:06,479 --> 01:36:08,840 Speaker 3: be terrible for grouse. My answer to that would be 1616 01:36:09,320 --> 01:36:12,280 Speaker 3: if we have good habitat and a good juxtaposition of 1617 01:36:12,320 --> 01:36:15,920 Speaker 3: that diversity that's accessible to turkeys and to grouse. There 1618 01:36:15,960 --> 01:36:19,679 Speaker 3: may be some flukey case where a turkey disturbs ground 1619 01:36:19,720 --> 01:36:22,200 Speaker 3: a ground nest. I'm sure that happens. I mean, turkeys 1620 01:36:22,200 --> 01:36:26,000 Speaker 3: are They're a source of disturbance and disruption. They're clawn 1621 01:36:26,080 --> 01:36:28,080 Speaker 3: and dig in, and I have no doubt that that 1622 01:36:28,240 --> 01:36:33,280 Speaker 3: has happened and does happen. But nest mortality is par 1623 01:36:33,439 --> 01:36:35,280 Speaker 3: for the course. There's a whole host of other things 1624 01:36:35,320 --> 01:36:37,679 Speaker 3: out there that are taking out nests too. We should 1625 01:36:37,680 --> 01:36:43,000 Speaker 3: never expect rough grouse or woodcock to you know, succeed 1626 01:36:43,040 --> 01:36:46,080 Speaker 3: in every nesting attempt. But if we have really good habitat, 1627 01:36:46,160 --> 01:36:49,160 Speaker 3: and if we have lots of females attempting to nest, 1628 01:36:49,800 --> 01:36:53,200 Speaker 3: we're going to have lots of birds. So I would 1629 01:36:53,280 --> 01:36:57,320 Speaker 3: I would debunk that a bit and say, focusing in 1630 01:36:57,360 --> 01:36:58,639 Speaker 3: on habitat, it. 1631 01:36:58,560 --> 01:37:01,720 Speaker 1: Brings up there's an interesting point to it that that 1632 01:37:02,439 --> 01:37:04,840 Speaker 1: there's an interesting point you make that I hadn't thought 1633 01:37:04,840 --> 01:37:08,559 Speaker 1: of a lot of times we because we focus on 1634 01:37:08,720 --> 01:37:11,200 Speaker 1: like as hunters or anglers or whatever, you focus on 1635 01:37:11,240 --> 01:37:14,599 Speaker 1: your favorite game species, right, meaning like you might look 1636 01:37:14,840 --> 01:37:17,200 Speaker 1: maybe you bass fish some lake and you kind of track, 1637 01:37:17,360 --> 01:37:22,200 Speaker 1: like what's going on with the bass that lake? And 1638 01:37:22,240 --> 01:37:26,400 Speaker 1: you'll you'll have pet theories about what impacted bass, right, 1639 01:37:26,560 --> 01:37:29,280 Speaker 1: Or you might look at like what's impacting mule deer? Yeah, 1640 01:37:30,720 --> 01:37:33,000 Speaker 1: And you look and it's like you find this suite 1641 01:37:33,040 --> 01:37:39,679 Speaker 1: of factors that maybe like pertains very particularly to mule deer, 1642 01:37:40,800 --> 01:37:45,160 Speaker 1: or some things that pertain very particularly to elk. Right, 1643 01:37:46,640 --> 01:37:49,639 Speaker 1: it's interesting to think of what the woodcock and rough 1644 01:37:50,040 --> 01:37:57,160 Speaker 1: grouse decline as being that like we know those ones 1645 01:37:57,160 --> 01:38:00,320 Speaker 1: and love them, but what we're talking about is like 1646 01:38:00,520 --> 01:38:05,479 Speaker 1: land birds. Yeah, forest health. Yeah, what we're talking about 1647 01:38:05,520 --> 01:38:07,880 Speaker 1: is forest health. Yeah, because I think that you tend 1648 01:38:07,880 --> 01:38:11,000 Speaker 1: to like, in my mind, like if i'm you know, whatever, 1649 01:38:11,080 --> 01:38:14,599 Speaker 1: if I'm talking about black tail deer on some island 1650 01:38:14,920 --> 01:38:18,679 Speaker 1: in Alaska, I'm usually looking at what is impacting black 1651 01:38:18,680 --> 01:38:22,800 Speaker 1: tail deer? Yeah. Right, It's interesting to take a thing 1652 01:38:22,880 --> 01:38:26,680 Speaker 1: like this and be like, what is impacting birds? Right? 1653 01:38:27,880 --> 01:38:30,880 Speaker 1: One of which or two of which are these ones 1654 01:38:30,880 --> 01:38:35,040 Speaker 1: that you're intensely focused on, but that that unbeknownst to you, 1655 01:38:36,520 --> 01:38:41,840 Speaker 1: they're they're going away as well. You know, yes, but 1656 01:38:41,960 --> 01:38:44,280 Speaker 1: you missed it. You missed it because you're just thinking 1657 01:38:44,280 --> 01:38:48,120 Speaker 1: about the ones you are looking for, you know, right. 1658 01:38:49,240 --> 01:38:50,680 Speaker 3: Yeah, And even if you want to get into some 1659 01:38:50,720 --> 01:38:53,479 Speaker 3: of the specific drivers, like just briefly back to this 1660 01:38:53,600 --> 01:38:57,959 Speaker 3: idea of the West Nile virus as a cause of decline, 1661 01:38:59,520 --> 01:39:03,640 Speaker 3: they're too the idea that you can really focus on 1662 01:39:03,680 --> 01:39:07,439 Speaker 3: habitat quality to help kind of buffer the impact of 1663 01:39:07,479 --> 01:39:10,280 Speaker 3: that disease agent. If you think about a bird, that's like, 1664 01:39:11,479 --> 01:39:14,000 Speaker 3: I'm getting at this idea of cumulative effects, right. 1665 01:39:14,000 --> 01:39:15,080 Speaker 1: If you have a bird that is. 1666 01:39:15,040 --> 01:39:21,400 Speaker 3: Struggling to take in enough calories, and it's also subject 1667 01:39:21,479 --> 01:39:24,600 Speaker 3: to slightly higher predation risk because it doesn't have the 1668 01:39:24,600 --> 01:39:28,799 Speaker 3: structural complexity to hide from death from above you know, hawks, 1669 01:39:28,800 --> 01:39:33,559 Speaker 3: owls or coyotes, fox, whatever, and then on top of 1670 01:39:33,560 --> 01:39:37,800 Speaker 3: that you add a disease that's further weakening that bird 1671 01:39:38,120 --> 01:39:41,519 Speaker 3: versus a bird that is diseased but also has really 1672 01:39:41,560 --> 01:39:45,280 Speaker 3: good forage, really good habitat. It's not any one of 1673 01:39:45,320 --> 01:39:49,600 Speaker 3: these things, right. It's very rare in ecological science to 1674 01:39:49,600 --> 01:39:52,080 Speaker 3: be like, no, there's the cause, there's the effect, right. 1675 01:39:52,200 --> 01:39:57,280 Speaker 3: Much more often it's these complex interconnections and feedback loops 1676 01:39:57,360 --> 01:40:00,960 Speaker 3: and death by a thousand cuts as a to well, 1677 01:40:00,960 --> 01:40:04,800 Speaker 3: here's the one thing that explains it all. But in 1678 01:40:04,840 --> 01:40:07,639 Speaker 3: the case of these eastern forests, it's like, the one 1679 01:40:07,720 --> 01:40:11,080 Speaker 3: thing that explains it all is that we have not 1680 01:40:11,320 --> 01:40:16,160 Speaker 3: done a good job of maintaining the diversity and disturbance, 1681 01:40:16,240 --> 01:40:22,160 Speaker 3: and that includes everything ranging from driving passenger pigeons to 1682 01:40:22,240 --> 01:40:31,120 Speaker 3: extinction extirpating eastern elk and bison up through. I love 1683 01:40:31,160 --> 01:40:33,439 Speaker 3: the word use neglect because I think that is a 1684 01:40:33,439 --> 01:40:36,280 Speaker 3: perfect label for many of our eastern forests, is that 1685 01:40:36,320 --> 01:40:39,439 Speaker 3: they have been neglected. And part of the tragedy is 1686 01:40:39,479 --> 01:40:42,760 Speaker 3: that now you have people who I think their hearts 1687 01:40:42,760 --> 01:40:46,240 Speaker 3: are in the right place, but they're strongly advocating for 1688 01:40:46,320 --> 01:40:50,120 Speaker 3: continuing to neglect the forests that they claim to love. 1689 01:40:52,479 --> 01:40:56,080 Speaker 2: Cutting down all those trees in this place, neglect by inaction, 1690 01:40:56,400 --> 01:40:57,200 Speaker 2: just letting them sit. 1691 01:40:57,479 --> 01:41:01,280 Speaker 3: Yeah, this idea, that this idea, and I think this 1692 01:41:01,479 --> 01:41:09,880 Speaker 3: is such a powerful it's such a powerful thing to 1693 01:41:09,880 --> 01:41:15,559 Speaker 3: really think about, because a lot of folks, who I 1694 01:41:15,600 --> 01:41:18,760 Speaker 3: believe have their hearts in the right place, they think 1695 01:41:18,800 --> 01:41:22,799 Speaker 3: about human beings as being only capable of making things 1696 01:41:22,840 --> 01:41:28,200 Speaker 3: worse in the environment. We're the problem too many people. 1697 01:41:28,760 --> 01:41:34,479 Speaker 3: You know, all we do is pillage and pollute. And 1698 01:41:34,560 --> 01:41:36,799 Speaker 3: when you really start looking at our history as a species, 1699 01:41:36,840 --> 01:41:40,680 Speaker 3: and you start looking at all the different cultures and 1700 01:41:40,720 --> 01:41:44,200 Speaker 3: relationships that people have to different ecosystems around the planet 1701 01:41:44,880 --> 01:41:48,879 Speaker 3: and thinking about it more carefully, for the vast majority 1702 01:41:48,880 --> 01:41:50,840 Speaker 3: of our existence, we have been in the business of 1703 01:41:51,680 --> 01:41:55,360 Speaker 3: actively taking care of the places that support our existence. 1704 01:41:55,720 --> 01:41:59,960 Speaker 3: We have been we have been dependent on the act 1705 01:42:00,320 --> 01:42:05,240 Speaker 3: that we take mediated through the land for our very survival. 1706 01:42:05,400 --> 01:42:08,280 Speaker 3: So this idea that somehow you step back and take 1707 01:42:08,320 --> 01:42:10,679 Speaker 3: a hands off approach nature will take care of itself. 1708 01:42:11,240 --> 01:42:15,280 Speaker 3: That ignores the reality that we are fundamentally a part 1709 01:42:15,320 --> 01:42:23,240 Speaker 3: of nature, right So it it it's a troubling worldview 1710 01:42:24,439 --> 01:42:28,400 Speaker 3: at the deepest of levels because it takes this role 1711 01:42:28,640 --> 01:42:32,960 Speaker 3: that we should be embracing and points to that as 1712 01:42:32,960 --> 01:42:36,280 Speaker 3: if it's a problem. The only thing we can do 1713 01:42:36,360 --> 01:42:38,200 Speaker 3: is make things worse in the environment. That is just 1714 01:42:38,280 --> 01:42:41,040 Speaker 3: simply not the case. We have been in the business 1715 01:42:41,040 --> 01:42:43,679 Speaker 3: of interacting with and being a part of these systems. 1716 01:42:43,720 --> 01:42:45,920 Speaker 3: And that's the thing, man, the more I'm thinking through this, 1717 01:42:46,520 --> 01:42:51,120 Speaker 3: that's the problem is it takes us and removes us 1718 01:42:51,320 --> 01:42:54,840 Speaker 3: from the system and we you know, we look over there, 1719 01:42:54,840 --> 01:42:57,400 Speaker 3: there's nature. Don't mess it up, as opposed to we 1720 01:42:57,479 --> 01:43:00,639 Speaker 3: are in this thing. And if you want to zoom 1721 01:43:00,640 --> 01:43:03,680 Speaker 3: back to like a global scale, whether you live in 1722 01:43:03,680 --> 01:43:07,120 Speaker 3: an urban environment, whether you live in a rural landscape, 1723 01:43:07,160 --> 01:43:10,439 Speaker 3: whether you're in a flavella somewhere in South America, or 1724 01:43:10,439 --> 01:43:15,160 Speaker 3: whether you're living in remote Alaska, all of us are 1725 01:43:15,200 --> 01:43:17,880 Speaker 3: existing within this closed system, right, and we're all making 1726 01:43:17,880 --> 01:43:22,360 Speaker 3: decisions individually and cumulatively that influenced the trajectory of that 1727 01:43:22,400 --> 01:43:25,479 Speaker 3: closed system. So approaching it in a way where you're 1728 01:43:25,479 --> 01:43:29,040 Speaker 3: actually embracing the fact that you have a responsibility to 1729 01:43:29,120 --> 01:43:31,799 Speaker 3: take action to try to make things better for the future, 1730 01:43:32,439 --> 01:43:34,760 Speaker 3: as opposed to, well, that's nature over there. I'm over 1731 01:43:34,760 --> 01:43:38,000 Speaker 3: here doing my thing, let nature figure it out like 1732 01:43:38,080 --> 01:43:40,519 Speaker 3: that is a very deeply flawed worldview in my opinion, 1733 01:43:41,240 --> 01:43:41,519 Speaker 3: m H. 1734 01:43:46,360 --> 01:43:50,439 Speaker 1: When we talk about the anthroposcene meaning that, like the 1735 01:43:50,479 --> 01:43:54,559 Speaker 1: anthroposcene is this concept that you know, like we think 1736 01:43:54,560 --> 01:43:57,040 Speaker 1: of the places scene as the ice ages that was 1737 01:43:57,080 --> 01:44:01,760 Speaker 1: followed by the Holocene, let me be very quickly entered the anthropoiscene, 1738 01:44:01,880 --> 01:44:05,160 Speaker 1: meaning that humans. When people use that term, what they're 1739 01:44:05,160 --> 01:44:09,799 Speaker 1: saying is that humans are the dominant force, the dominant 1740 01:44:09,800 --> 01:44:14,760 Speaker 1: global force on habitats, the dominant global force on ecology, 1741 01:44:15,640 --> 01:44:24,120 Speaker 1: or the dominant force. Part of recognizing that needs to 1742 01:44:24,160 --> 01:44:31,240 Speaker 1: be embracing that role to be like, Okay, if that's 1743 01:44:31,280 --> 01:44:34,200 Speaker 1: the case, then maybe we need to be the dominant 1744 01:44:34,240 --> 01:44:37,000 Speaker 1: force of good as well in someplace love that. 1745 01:44:37,160 --> 01:44:41,400 Speaker 3: You know, I mean, there's no more powerful ecosystem engineer 1746 01:44:41,520 --> 01:44:45,120 Speaker 3: than Homo sapiens, right, Like, we have been manipulating the 1747 01:44:45,120 --> 01:44:50,559 Speaker 3: face of this planet to benefit ourselves for forever, but 1748 01:44:50,680 --> 01:44:52,840 Speaker 3: we have we have absolutely reached a point in our 1749 01:44:53,000 --> 01:44:56,920 Speaker 3: history as a species where we have we have these 1750 01:44:56,960 --> 01:44:59,240 Speaker 3: controls at our disposal and we can either do things 1751 01:44:59,280 --> 01:45:04,559 Speaker 3: that will promote a future of continued prosperity or and 1752 01:45:04,600 --> 01:45:07,160 Speaker 3: in a lot of places, this is already reality. We've 1753 01:45:07,200 --> 01:45:10,439 Speaker 3: gone so far down this path of manipulating the system 1754 01:45:11,080 --> 01:45:14,680 Speaker 3: for short term gain that we've compromised the ability of 1755 01:45:14,720 --> 01:45:17,439 Speaker 3: those systems to be a source of prosperity to us. 1756 01:45:17,880 --> 01:45:19,720 Speaker 3: So there's a lot of cleanup work to do in 1757 01:45:19,760 --> 01:45:22,519 Speaker 3: those places. But I think what you just said is 1758 01:45:22,840 --> 01:45:24,240 Speaker 3: a super important message. 1759 01:45:24,240 --> 01:45:24,679 Speaker 1: It's like. 1760 01:45:26,400 --> 01:45:29,599 Speaker 3: We need to acknowledge that reality and then approach that 1761 01:45:29,960 --> 01:45:33,720 Speaker 3: with a focus on what are our responsibilities in light 1762 01:45:33,760 --> 01:45:35,880 Speaker 3: of that reality? 1763 01:45:36,720 --> 01:45:40,880 Speaker 1: Do you think that how relational is it? Like? Do 1764 01:45:40,960 --> 01:45:46,240 Speaker 1: you think that I want to see relational? It's a 1765 01:45:46,320 --> 01:45:51,799 Speaker 1: terrible word choice. How much do you think a habitat project, 1766 01:45:52,360 --> 01:45:56,120 Speaker 1: Let's say you do a habitat project on one thousand acres? 1767 01:45:57,160 --> 01:45:59,719 Speaker 1: Can you do a habitat project on one thousand acres? 1768 01:45:59,720 --> 01:46:01,519 Speaker 1: And then come back a couple of years later and 1769 01:46:01,520 --> 01:46:02,800 Speaker 1: be like, oh, the grouse are back. 1770 01:46:04,080 --> 01:46:07,040 Speaker 3: It really depends on where you are. I think in 1771 01:46:07,080 --> 01:46:08,760 Speaker 3: a lot of places the answer is going to be no. 1772 01:46:10,240 --> 01:46:14,240 Speaker 3: Once grouse are gone and you lose like a source population. 1773 01:46:14,400 --> 01:46:17,679 Speaker 3: And they do this, they have this life history trait 1774 01:46:17,920 --> 01:46:21,280 Speaker 3: where you know they hatch in the spring. The broods 1775 01:46:21,320 --> 01:46:23,320 Speaker 3: kind of stick together. If you think about bumping into 1776 01:46:23,479 --> 01:46:25,960 Speaker 3: grouse early season when you're hunting them, oftentimes you'll flush 1777 01:46:26,000 --> 01:46:27,920 Speaker 3: like broods of birds. You'll get almost like a covey 1778 01:46:28,479 --> 01:46:31,719 Speaker 3: flush of grouse. But then they get into a dispersal 1779 01:46:31,760 --> 01:46:36,280 Speaker 3: mode mid fall and birds start striking out to essentially 1780 01:46:36,280 --> 01:46:40,440 Speaker 3: occupy new territory, spread their genes across the landscape, avoid competition, 1781 01:46:41,000 --> 01:46:46,600 Speaker 3: avoid in breeding. So they will cover considerable distances to 1782 01:46:47,360 --> 01:46:51,599 Speaker 3: pioneer unoccupied habitat. But if you do a restoration project 1783 01:46:51,640 --> 01:46:54,280 Speaker 3: in an area where there's no source of rough grouse, 1784 01:46:55,600 --> 01:46:59,080 Speaker 3: they're not They're not gonna find it, and we're not. 1785 01:46:59,640 --> 01:47:02,920 Speaker 3: There is a very poor track record of trying to 1786 01:47:02,920 --> 01:47:06,080 Speaker 3: relocate grouse into previously occupied habitat. 1787 01:47:05,760 --> 01:47:07,040 Speaker 1: They don't do well. 1788 01:47:07,760 --> 01:47:09,320 Speaker 3: So being able to hold on to grouse where we 1789 01:47:09,360 --> 01:47:12,479 Speaker 3: still have them and then focus on trying to restore 1790 01:47:12,520 --> 01:47:15,320 Speaker 3: habitat around the places that are occupied. 1791 01:47:15,439 --> 01:47:18,680 Speaker 1: Very much better course of action. We had a researcher, 1792 01:47:18,760 --> 01:47:20,800 Speaker 1: we had a deer, but you know, it does a 1793 01:47:20,840 --> 01:47:23,400 Speaker 1: lot of work with servants on the podcast one time 1794 01:47:23,439 --> 01:47:25,599 Speaker 1: and he was talking about when you look like, let's 1795 01:47:25,600 --> 01:47:28,000 Speaker 1: say your mealed your hunt, and you look in that 1796 01:47:28,120 --> 01:47:31,080 Speaker 1: perfect stuff and you're like, God, it seems like they'd 1797 01:47:31,120 --> 01:47:33,479 Speaker 1: be here. It looks like it would be perfect. Yeah, 1798 01:47:33,800 --> 01:47:38,719 Speaker 1: He's like, it might be they're not there. Yeah, something 1799 01:47:38,800 --> 01:47:41,599 Speaker 1: happened to They have a lot of fidelity to their area. 1800 01:47:42,200 --> 01:47:44,880 Speaker 1: Something happened to that group. Yeah, and it might be 1801 01:47:44,920 --> 01:47:46,840 Speaker 1: a long time. It might be perfect, It might be 1802 01:47:46,840 --> 01:47:49,400 Speaker 1: the most perfect meal to your country or in your area, 1803 01:47:49,479 --> 01:47:52,479 Speaker 1: but there's just not any there. Yeah, because they don't 1804 01:47:52,520 --> 01:47:56,280 Speaker 1: they haven't colonized it. Yep. They got their own. The 1805 01:47:56,320 --> 01:47:59,679 Speaker 1: ones nearby have their little plan and they're not looking 1806 01:47:59,680 --> 01:48:01,479 Speaker 1: for a new spot, and it can take a long 1807 01:48:01,520 --> 01:48:04,599 Speaker 1: time to put them back when you have an event. Yeah, 1808 01:48:04,680 --> 01:48:05,920 Speaker 1: carry them away, yep. 1809 01:48:06,000 --> 01:48:09,040 Speaker 3: I think there's some applicability there, and that's in obviously 1810 01:48:09,479 --> 01:48:12,519 Speaker 3: direct contrast with Woodcock, where they're they're going to find 1811 01:48:12,520 --> 01:48:13,720 Speaker 3: it they're going to find it, which is one of 1812 01:48:13,760 --> 01:48:16,040 Speaker 3: the advantages. We've talked about some of the disadvantages of 1813 01:48:16,080 --> 01:48:20,360 Speaker 3: being a migratory species, but in advantages, you're surveying that 1814 01:48:21,080 --> 01:48:24,720 Speaker 3: landscape with fresh eyes every year and taking advantage where 1815 01:48:24,720 --> 01:48:25,679 Speaker 3: habitats popping out. 1816 01:48:25,840 --> 01:48:28,040 Speaker 1: It's interesting to me that putting grouse out on the 1817 01:48:28,080 --> 01:48:30,320 Speaker 1: ground doesn't work like putting turkeys out on the ground. 1818 01:48:30,479 --> 01:48:32,320 Speaker 3: They have not done well with reintroduction. 1819 01:48:33,400 --> 01:48:34,840 Speaker 1: What do you think it is, because it's they just 1820 01:48:34,880 --> 01:48:37,360 Speaker 1: don't they don't carry with them like a sort of 1821 01:48:37,479 --> 01:48:40,519 Speaker 1: generational land use plan. It's a good question. 1822 01:48:40,600 --> 01:48:40,720 Speaker 4: Man. 1823 01:48:40,760 --> 01:48:43,040 Speaker 3: I wish I knew. I wish I knew more about 1824 01:48:43,560 --> 01:48:49,920 Speaker 3: the constraints on survivorship of translocated grouse. I I know 1825 01:48:50,040 --> 01:48:54,120 Speaker 3: that it has been attempted in many settings, and I'm 1826 01:48:54,160 --> 01:48:57,040 Speaker 3: aware of no successful reintroduction efforts. 1827 01:48:57,080 --> 01:48:58,120 Speaker 1: They got to do their own thing. 1828 01:48:58,840 --> 01:49:01,280 Speaker 3: Yeah, so you got to preserve those pockets yea, and 1829 01:49:01,320 --> 01:49:04,040 Speaker 3: build out from there. And and you know, we do 1830 01:49:04,120 --> 01:49:09,040 Speaker 3: have just some tremendous strongholds still. But that the thing 1831 01:49:09,080 --> 01:49:13,320 Speaker 3: that is both both like most frustrating and most encouraging 1832 01:49:13,520 --> 01:49:17,559 Speaker 3: is that it's not we're not scratching our heads like man, 1833 01:49:17,600 --> 01:49:20,519 Speaker 3: if we could just figure out right, it's like we know, 1834 01:49:21,400 --> 01:49:24,760 Speaker 3: we know what needs to be done, and it's also 1835 01:49:25,520 --> 01:49:30,719 Speaker 3: a set of actions that is broadly beneficial beyond these 1836 01:49:30,720 --> 01:49:34,640 Speaker 3: two iconic species. So that's where like the idea of 1837 01:49:34,680 --> 01:49:40,840 Speaker 3: trying to get some coalitions built around leaving those conditions, 1838 01:49:40,880 --> 01:49:43,559 Speaker 3: like the partnership with the Rocky Mount Elk Foundation, the 1839 01:49:43,600 --> 01:49:50,519 Speaker 3: partnership with American Bird Conservancy, we have a shared vision 1840 01:49:50,560 --> 01:49:52,240 Speaker 3: of what needs to be done. 1841 01:49:52,600 --> 01:49:55,599 Speaker 1: Yeah, those kinds of things are frustrating in their own way. 1842 01:49:55,680 --> 01:49:58,920 Speaker 1: I think when you look at big conservation problems, you 1843 01:49:58,960 --> 01:50:02,240 Speaker 1: have the ones you'd be like like acidification of the oceans. 1844 01:50:03,040 --> 01:50:04,920 Speaker 1: You know, you're like, good luck with that, do you 1845 01:50:05,000 --> 01:50:08,360 Speaker 1: know what I mean? Like like something that would call 1846 01:50:08,439 --> 01:50:12,880 Speaker 1: for sort of like a global change in habits that 1847 01:50:12,920 --> 01:50:17,840 Speaker 1: would impact every person on the planet. Yep, you know, 1848 01:50:18,280 --> 01:50:22,560 Speaker 1: like that ain't gonna happen anytime soon. But then you 1849 01:50:22,640 --> 01:50:25,240 Speaker 1: got conservation problems where you're like, dude, it's read at 1850 01:50:25,240 --> 01:50:28,080 Speaker 1: our fingertips. Yeah, it's right at our fingertips. It's not 1851 01:50:28,160 --> 01:50:34,200 Speaker 1: even like it's so achievable, right Yeah, And King Sam 1852 01:50:34,200 --> 01:50:36,439 Speaker 1: and people are like they don't even know where to begin. Yeah, 1853 01:50:36,600 --> 01:50:38,320 Speaker 1: deal me with king salmon, It's hard to know where 1854 01:50:38,360 --> 01:50:38,679 Speaker 1: to begin. 1855 01:50:38,920 --> 01:50:42,360 Speaker 2: It'd be a bummer to see like that species, that 1856 01:50:42,479 --> 01:50:46,880 Speaker 2: hunting opportunity to like blink out in your lifetime because 1857 01:50:46,920 --> 01:50:50,080 Speaker 2: so much of it has gotten better over time. Right, Like, 1858 01:50:50,520 --> 01:50:52,400 Speaker 2: if you're an elk hunter, it's a pretty good time 1859 01:50:52,400 --> 01:50:54,320 Speaker 2: to be an elk hunter, white tail hunter, you know, 1860 01:50:54,960 --> 01:50:59,120 Speaker 2: you name it. It's pretty good. But to see, like, 1861 01:50:59,479 --> 01:51:02,760 Speaker 2: do you and vision the trend being more states closing 1862 01:51:02,800 --> 01:51:08,439 Speaker 2: seasons or restricting seasons or status quo or. 1863 01:51:08,439 --> 01:51:10,840 Speaker 3: Yeah, I think I think we're on a trajectory that 1864 01:51:10,880 --> 01:51:14,000 Speaker 3: we're likely to see continued loss of opportunity. 1865 01:51:14,080 --> 01:51:15,880 Speaker 1: Yeah, And you know a couple examples. 1866 01:51:15,960 --> 01:51:19,639 Speaker 3: New Jersey's of state where they had a season that's 1867 01:51:19,680 --> 01:51:22,600 Speaker 3: been closed. I think twenty nineteen for that one. Indiana 1868 01:51:23,640 --> 01:51:26,439 Speaker 3: lost its season in twenty fifteen, and now rough grouse 1869 01:51:26,479 --> 01:51:31,400 Speaker 3: are listed on the state endangered species list. Missouri no season, 1870 01:51:31,520 --> 01:51:37,479 Speaker 3: Ohio flirting with potentially a steeply restricted season. 1871 01:51:37,560 --> 01:51:37,720 Speaker 1: Yeah. 1872 01:51:37,760 --> 01:51:40,640 Speaker 2: I think Pennsylvania had an early and a late and 1873 01:51:40,680 --> 01:51:43,040 Speaker 2: they got rid of one. Maybe the late season like 1874 01:51:43,120 --> 01:51:44,599 Speaker 2: after Christmas. 1875 01:51:44,120 --> 01:51:46,760 Speaker 1: Got Michigan still just got a doozy of a season. Man. 1876 01:51:46,920 --> 01:51:49,800 Speaker 3: Yeah, it's long, Yeah, yeah, them right up through the 1877 01:51:49,840 --> 01:51:53,759 Speaker 3: end of the calendar year and September fifteen, right, Yeah, 1878 01:51:54,000 --> 01:51:58,679 Speaker 3: that's right, Opener, a sacred day for those hillbelly kids 1879 01:51:58,680 --> 01:52:01,160 Speaker 3: of the North woods man take that day off of school. 1880 01:52:01,400 --> 01:52:07,880 Speaker 1: Go squirrel and grouse, Hutton. Those are all restrictions that 1881 01:52:07,920 --> 01:52:10,919 Speaker 1: came out like in our lifetimes for sure. Oh yeah, 1882 01:52:11,280 --> 01:52:12,840 Speaker 1: what else? What else you got on that list? 1883 01:52:13,960 --> 01:52:14,680 Speaker 3: Uh? 1884 01:52:15,840 --> 01:52:19,639 Speaker 1: Well, I just I think this is not but speak 1885 01:52:19,640 --> 01:52:22,160 Speaker 1: to the fact that this is all southern extent, right, 1886 01:52:22,520 --> 01:52:26,120 Speaker 1: is it because it was the poorest populations? Well, I 1887 01:52:26,120 --> 01:52:28,920 Speaker 1: think it was just kind of naturally borderline, it was 1888 01:52:29,080 --> 01:52:30,639 Speaker 1: naturally fringe habitat. Yeah. 1889 01:52:30,720 --> 01:52:32,560 Speaker 3: Yeah, I mean you're starting to get you're starting to 1890 01:52:32,560 --> 01:52:37,120 Speaker 3: get into areas where the if you look at the 1891 01:52:37,160 --> 01:52:39,800 Speaker 3: distribution aspen. I made the comment earlier that aspen is 1892 01:52:39,840 --> 01:52:43,120 Speaker 3: not the key, but it's a really important aspect of 1893 01:52:43,800 --> 01:52:45,880 Speaker 3: gross habitat in many places, you're starting to get into 1894 01:52:45,880 --> 01:52:49,040 Speaker 3: areas where that species is not available to provide food 1895 01:52:49,080 --> 01:52:53,240 Speaker 3: and cover. You're also looking at places where these forest 1896 01:52:53,600 --> 01:52:57,520 Speaker 3: change dynamics that we've talked about musification lack of disturbance. 1897 01:52:57,960 --> 01:52:59,919 Speaker 3: That is absolutely the case. One of the most compelling 1898 01:53:00,000 --> 01:53:02,919 Speaker 3: examples of that going back to Doug Duran the Driftless 1899 01:53:02,920 --> 01:53:05,840 Speaker 3: area in southwest Wisconsin, if you look like twenty five, 1900 01:53:05,960 --> 01:53:09,160 Speaker 3: thirty forty years ago, grouse numbers in southwest Wisconsin were 1901 01:53:09,160 --> 01:53:14,720 Speaker 3: off the charts, like phenomenal rough grouse habitat. Now it's 1902 01:53:14,880 --> 01:53:17,479 Speaker 3: unusual to hear that I've talked about a drumming grouse 1903 01:53:17,520 --> 01:53:22,360 Speaker 3: in the Driftless area. So yeah, so what happened just 1904 01:53:22,600 --> 01:53:27,280 Speaker 3: the habit habitat change, lack of change gone gone for now. 1905 01:53:27,520 --> 01:53:30,000 Speaker 3: And the problem is, you know, like we were just 1906 01:53:30,040 --> 01:53:32,519 Speaker 3: talking about with the sort of mule deer story there, 1907 01:53:33,360 --> 01:53:35,080 Speaker 3: if you get to the point where the habitat's gone 1908 01:53:35,120 --> 01:53:38,320 Speaker 3: long enough in the populations dwindled to the point you're 1909 01:53:40,000 --> 01:53:41,439 Speaker 3: I'm not going to say you're never going to get 1910 01:53:41,479 --> 01:53:43,679 Speaker 3: him back, but you are facing a very steep uphill 1911 01:53:43,680 --> 01:53:44,080 Speaker 3: battle at that. 1912 01:53:44,160 --> 01:53:49,800 Speaker 2: So if we're like the northern populations, like whatever, northern Wisconsin, Maine, Minnesota, 1913 01:53:50,720 --> 01:53:54,080 Speaker 2: where they're doing well, is it just like why are 1914 01:53:54,080 --> 01:53:57,000 Speaker 2: they doing like, is it just that stuff's not getting 1915 01:53:57,040 --> 01:53:59,479 Speaker 2: messed with? It's the right habitat and it's staying the 1916 01:53:59,560 --> 01:54:03,160 Speaker 2: right habit like because if it if this good habitat 1917 01:54:03,560 --> 01:54:08,000 Speaker 2: depends on disturbance, Like what kind of disturbance is going 1918 01:54:08,040 --> 01:54:09,639 Speaker 2: on up there that keeps things? 1919 01:54:09,920 --> 01:54:11,720 Speaker 3: Yeah, well, you're you're right, you're right in the core 1920 01:54:11,760 --> 01:54:14,080 Speaker 3: of their range in terms of climate, in terms of 1921 01:54:14,120 --> 01:54:17,200 Speaker 3: the vegetation community. You know, I'm thinking, I'm envisioning this 1922 01:54:17,240 --> 01:54:20,559 Speaker 3: spot right now in the in the up where it's 1923 01:54:20,640 --> 01:54:24,559 Speaker 3: just like this tangle of fifteen ten to fifteen year 1924 01:54:24,560 --> 01:54:29,599 Speaker 3: old aspen understory of which hazel. It's like every you've 1925 01:54:29,600 --> 01:54:35,440 Speaker 3: got like winter green, it's it's just food everywhere, covers phenomenal. 1926 01:54:37,000 --> 01:54:39,880 Speaker 3: Typically you have a good snowpack and rough grouse will 1927 01:54:39,880 --> 01:54:42,919 Speaker 3: burrow into the snow and see thermal refuge in cold conditions. 1928 01:54:42,920 --> 01:54:45,120 Speaker 3: So having that snow cover is a big deal. If 1929 01:54:45,120 --> 01:54:48,880 Speaker 3: you have crappy snow snow years grouser at higher risk 1930 01:54:48,920 --> 01:54:51,000 Speaker 3: of freezing in cold temperatures. 1931 01:54:50,480 --> 01:54:52,160 Speaker 1: It's not good news around here, you know. 1932 01:54:52,720 --> 01:54:55,800 Speaker 3: So so you're in a really sweet spot. It's like, 1933 01:54:55,840 --> 01:54:58,520 Speaker 3: you're right, You're right in the wheelhouse of where those 1934 01:54:58,520 --> 01:55:04,160 Speaker 3: birds evolve to be. And so now I'm thinking about 1935 01:55:04,400 --> 01:55:07,160 Speaker 3: some very cool work that's been happening in the central 1936 01:55:07,280 --> 01:55:10,400 Speaker 3: Upper Peninsula, Michigan looking at the management of these remnant 1937 01:55:10,400 --> 01:55:12,840 Speaker 3: boreal forest ecosystems where you're kind of on the fringe, 1938 01:55:13,320 --> 01:55:17,160 Speaker 3: like I'm thinking about snowshoe hares as well, right populations 1939 01:55:17,160 --> 01:55:22,240 Speaker 3: of snowshoe hares, ruffed grouse, a whole host of species 1940 01:55:22,280 --> 01:55:25,160 Speaker 3: that have significance from the standpoint of food and medicine 1941 01:55:25,200 --> 01:55:27,360 Speaker 3: for tribal communities. So there's some really cool work my 1942 01:55:27,400 --> 01:55:30,560 Speaker 3: buddy Eric Clark and collaborators from the Susaint Retribe of 1943 01:55:30,640 --> 01:55:34,000 Speaker 3: Chippewa Indians working on the Hiawatha National Forest to get 1944 01:55:34,000 --> 01:55:39,240 Speaker 3: more fireback into those systems to promote the diversity of habitat. 1945 01:55:39,280 --> 01:55:43,200 Speaker 3: And if you go back, there are places where, particularly 1946 01:55:43,240 --> 01:55:46,440 Speaker 3: in red pine, you can look at the dendochronology, like 1947 01:55:46,480 --> 01:55:52,640 Speaker 3: the tree history of fire activity in those systems. There's 1948 01:55:52,640 --> 01:55:55,800 Speaker 3: a place called Bechelor's Marsh as an example on the 1949 01:55:55,880 --> 01:56:02,760 Speaker 3: Hiawatha National Forest where red pine dendochronology data shows how 1950 01:56:02,800 --> 01:56:06,560 Speaker 3: frequently fire was burning through those systems prior to European settlement, 1951 01:56:07,240 --> 01:56:10,680 Speaker 3: and it was very high frequency, so very often fire 1952 01:56:11,280 --> 01:56:13,800 Speaker 3: at a low enough severity that the trees were surviving it. 1953 01:56:14,600 --> 01:56:16,200 Speaker 3: And as they've been starting to get some of those 1954 01:56:16,200 --> 01:56:22,640 Speaker 3: fire regimes back into those systems with the tribe really 1955 01:56:22,720 --> 01:56:28,200 Speaker 3: leading that work. The grouse response has been phenomenal, but 1956 01:56:28,240 --> 01:56:30,640 Speaker 3: it's also great habitat. Like they're doing a lot of 1957 01:56:30,640 --> 01:56:33,040 Speaker 3: work trying to keep moose on the landscape. We haven't 1958 01:56:33,040 --> 01:56:34,960 Speaker 3: talked about moose at all. A lot of the work 1959 01:56:35,000 --> 01:56:37,320 Speaker 3: that we're doing thinking about rough grouse habitat in those 1960 01:56:37,320 --> 01:56:42,240 Speaker 3: northern Lake states, A ton of it is also phenomenal 1961 01:56:42,480 --> 01:56:45,680 Speaker 3: moose habitat. There's a collaborative up on the Arrowhead in 1962 01:56:45,720 --> 01:56:49,320 Speaker 3: Minnesota focused on moose habitat. We're right in the mix, 1963 01:56:49,560 --> 01:56:52,120 Speaker 3: partnering with the Forest Service, partnering with the state, partnering 1964 01:56:52,160 --> 01:56:54,800 Speaker 3: with the tribes, trying to get moose habitat on the ground. 1965 01:56:55,720 --> 01:56:57,200 Speaker 3: You call it whatever the hell you want. Yeah, it's 1966 01:56:57,200 --> 01:56:59,800 Speaker 3: great moose habitat. It's also great for all these other species. 1967 01:57:00,080 --> 01:57:02,520 Speaker 3: Talking about I think two. 1968 01:57:02,320 --> 01:57:06,040 Speaker 1: In those northern latitudes you get. I don't really, It's 1969 01:57:06,080 --> 01:57:08,440 Speaker 1: just like just something I sort of noticed and suspect, 1970 01:57:08,480 --> 01:57:11,760 Speaker 1: I guess, is that in those northern latitudes are the 1971 01:57:11,840 --> 01:57:17,520 Speaker 1: really deep snow, different vegetation regimes, whatever, good habitat lingers 1972 01:57:17,640 --> 01:57:20,200 Speaker 1: long time. Hmmm, do you know what I mean? Like, 1973 01:57:20,200 --> 01:57:22,880 Speaker 1: like it's a it seems like successional force is a 1974 01:57:22,920 --> 01:57:27,120 Speaker 1: slower process. Yeah, then it might be in other places. Yeah, 1975 01:57:27,160 --> 01:57:29,000 Speaker 1: I mean those sites like it just take a place, 1976 01:57:29,000 --> 01:57:31,160 Speaker 1: is that that stayed good. I can think of like 1977 01:57:31,240 --> 01:57:34,720 Speaker 1: good grouse spots that have just stayed good for forever. Yeah, 1978 01:57:34,840 --> 01:57:37,320 Speaker 1: then I can think of good grouse spots. It was 1979 01:57:37,360 --> 01:57:40,240 Speaker 1: like they were very ephemeral. Yeah, yeah, they were good 1980 01:57:40,240 --> 01:57:42,320 Speaker 1: for a minute, totally. Yeah, you know, so there's not 1981 01:57:42,360 --> 01:57:43,560 Speaker 1: a minute, but I mean they were good for a 1982 01:57:43,560 --> 01:57:46,160 Speaker 1: few years. But places seem like you're like, shoot, we 1983 01:57:46,200 --> 01:57:49,040 Speaker 1: shot grouse out of there for twenty years. Yeah. Yeah. 1984 01:57:49,120 --> 01:57:51,960 Speaker 3: We talk about like site index or site site richness, 1985 01:57:52,040 --> 01:57:55,960 Speaker 3: site quality, and and that takes into account. It's basically 1986 01:57:55,960 --> 01:57:59,040 Speaker 3: like the capacity of a particular place to grow vegetation. 1987 01:57:59,240 --> 01:58:02,120 Speaker 3: And there's obviously a strong climate component to that. There's 1988 01:58:02,160 --> 01:58:05,720 Speaker 3: also a really strong soil component to that. And a 1989 01:58:05,760 --> 01:58:07,800 Speaker 3: lot of the places when I think about really good 1990 01:58:08,160 --> 01:58:11,720 Speaker 3: grouse and woodcock habitat places where I grew up hunting, 1991 01:58:12,280 --> 01:58:14,200 Speaker 3: you're dealing with pretty poor soils too. 1992 01:58:14,320 --> 01:58:14,440 Speaker 1: Right. 1993 01:58:14,480 --> 01:58:19,880 Speaker 3: It's not like it's not like you you expose the 1994 01:58:19,960 --> 01:58:23,760 Speaker 3: earth to the solar rays and you get like a 1995 01:58:23,880 --> 01:58:27,120 Speaker 3: jungle immediately growing. It's a it's a more drawn out process. 1996 01:58:27,320 --> 01:58:29,320 Speaker 3: And that's in contrast. And I'm thinking back to the 1997 01:58:29,360 --> 01:58:35,040 Speaker 3: time down in Louisiana this past winter, and the site 1998 01:58:35,120 --> 01:58:37,320 Speaker 3: richness on those sites is like off the charts. So 1999 01:58:37,360 --> 01:58:42,080 Speaker 3: they'll they the amount of effort and investment that they 2000 01:58:42,120 --> 01:58:46,760 Speaker 3: have to make in order to keep woodcock habitat on 2001 01:58:46,760 --> 01:58:49,760 Speaker 3: some of those state game lands. Oh it's crazy because 2002 01:58:49,760 --> 01:58:51,520 Speaker 3: like they'll mow it and the next year it's like 2003 01:58:51,560 --> 01:58:54,400 Speaker 3: a jungle has re emerged. Right, So you're you're pointing 2004 01:58:54,400 --> 01:58:55,120 Speaker 3: to something that's. 2005 01:58:54,960 --> 01:58:57,280 Speaker 1: In a lot of that northern grouse habitat, Like in 2006 01:58:57,320 --> 01:59:00,200 Speaker 1: the Upper Great Lakes region, you'd be like, one, why 2007 01:59:00,280 --> 01:59:03,480 Speaker 1: no one's farming this? But because you can't, dude, because 2008 01:59:03,880 --> 01:59:04,880 Speaker 1: in Norwegian. 2009 01:59:06,360 --> 01:59:08,120 Speaker 3: There were a lot of there were a there a 2010 01:59:08,120 --> 01:59:10,920 Speaker 3: lot of frustrated potato farms in the up man a deal. 2011 01:59:10,960 --> 01:59:13,760 Speaker 1: I've noticed too, Man, you probably have seen this, Like 2012 01:59:13,800 --> 01:59:15,840 Speaker 1: I'm thinking of in the county where I grew up 2013 01:59:15,920 --> 01:59:19,000 Speaker 1: and around that area, a lot of times a good 2014 01:59:19,040 --> 01:59:23,960 Speaker 1: grouse pocket would be centered around It's gonna sound weird, 2015 01:59:24,000 --> 01:59:26,280 Speaker 1: it'd be centered around Christmas tree plantations. 2016 01:59:26,320 --> 01:59:28,200 Speaker 3: Oh yeah, doesn't sound weird. 2017 01:59:28,040 --> 01:59:30,720 Speaker 1: Because when you go out and hunt in late season, 2018 01:59:30,800 --> 01:59:33,080 Speaker 1: like you go home for Christmas break or something, Yeah, 2019 01:59:33,120 --> 01:59:35,760 Speaker 1: and you go out, Yeah, all the grouse are in 2020 01:59:35,800 --> 01:59:38,720 Speaker 1: the Christmas tree plantations. Yeah. And it always be that 2021 01:59:38,880 --> 01:59:42,120 Speaker 1: around those big blocks, like you know whatever you got 2022 01:59:42,160 --> 01:59:44,800 Speaker 1: like ten twenty acres of Christmas trees or something. Yeah, 2023 01:59:44,840 --> 01:59:48,520 Speaker 1: it would always be good grouse. Yep. But there's a 2024 01:59:48,560 --> 01:59:50,800 Speaker 1: certain look to those areas too. But I'm just saying 2025 01:59:50,800 --> 01:59:52,520 Speaker 1: it would be like that was sort of like a 2026 01:59:52,560 --> 01:59:55,960 Speaker 1: real holding position. I can think of one on I 2027 01:59:55,960 --> 01:59:58,640 Speaker 1: can think of one of these that was on public land, 2028 01:59:59,040 --> 02:00:02,200 Speaker 1: a man of see Nash Forest was a pine plantation. Yeah, 2029 02:00:02,480 --> 02:00:04,920 Speaker 1: always good grouse in the area because they had that, 2030 02:00:05,280 --> 02:00:07,680 Speaker 1: like you said, their homebodies and they had that like 2031 02:00:07,800 --> 02:00:10,440 Speaker 1: feature and this other on this dude's place used to 2032 02:00:10,480 --> 02:00:12,600 Speaker 1: grow pumpkins. Nice. He'd hired me for a couple days 2033 02:00:12,680 --> 02:00:14,880 Speaker 1: here to pick pumpkins and bring them down and sell them. 2034 02:00:15,160 --> 02:00:18,920 Speaker 1: But he had a pine tree plant to Christmas tree plantation. Yeah, 2035 02:00:19,320 --> 02:00:22,760 Speaker 1: and always good whether they were in there or not. Yeah, 2036 02:00:22,840 --> 02:00:24,360 Speaker 1: And it was just that like I think of them 2037 02:00:24,360 --> 02:00:28,200 Speaker 1: in there like it's where they go to survive the cold. Yeah, totally. 2038 02:00:28,240 --> 02:00:30,160 Speaker 1: So so I love that. And one of the things. 2039 02:00:30,160 --> 02:00:32,880 Speaker 3: When I'm looking for grouse, like really good grouse habitat, 2040 02:00:33,480 --> 02:00:38,280 Speaker 3: having a component of conifer in the mix is awesome. 2041 02:00:38,480 --> 02:00:43,200 Speaker 3: You know, it might be spruce or fur, but in 2042 02:00:43,320 --> 02:00:46,960 Speaker 3: terms of shelter from predators and also in terms of 2043 02:00:47,520 --> 02:00:52,640 Speaker 3: thermal protection and hiding from pre sip too, like they 2044 02:00:52,640 --> 02:00:53,560 Speaker 3: do not like getting. 2045 02:00:53,360 --> 02:00:57,160 Speaker 2: Oh man, they can disappear in those those trees, those conifers. 2046 02:00:57,520 --> 02:00:59,760 Speaker 2: Get a kid trying to find one that's perched up. 2047 02:01:00,200 --> 02:01:02,680 Speaker 1: Yeah, yeah, because they're not sitting way out. They'll sit 2048 02:01:02,760 --> 02:01:03,920 Speaker 1: up closer towards the thing. 2049 02:01:04,560 --> 02:01:06,280 Speaker 3: So that's where you get, like if you're in a 2050 02:01:06,320 --> 02:01:10,480 Speaker 3: hunting scenario taking turns, flanking like Kevin one dude on 2051 02:01:10,560 --> 02:01:11,360 Speaker 3: the back side. 2052 02:01:11,680 --> 02:01:13,240 Speaker 2: Sometimes they just don't budge. 2053 02:01:13,320 --> 02:01:16,320 Speaker 1: Man, that's true. And oftentimes you know you're here, you'll 2054 02:01:16,360 --> 02:01:19,000 Speaker 1: hear him flushing. You'll never see him. But dude, the 2055 02:01:19,040 --> 02:01:21,600 Speaker 1: guys when you're hitting those patches, I'm talking about, the 2056 02:01:21,640 --> 02:01:23,200 Speaker 1: dudes that are going to get the shooting are the 2057 02:01:23,280 --> 02:01:27,840 Speaker 1: dudes on the outside, right, That's what I'm saying. Fank 2058 02:01:27,960 --> 02:01:30,000 Speaker 1: and you and you want to kind of go like 2059 02:01:30,040 --> 02:01:33,720 Speaker 1: if you picture a Christmas tree plantation like a lap 2060 02:01:33,720 --> 02:01:37,200 Speaker 1: picture laptop computer. Okay, okay, and you got your pushers 2061 02:01:37,280 --> 02:01:40,640 Speaker 1: and you're pushing it the long way. Yep. A lot 2062 02:01:40,680 --> 02:01:42,280 Speaker 1: of guys are going to make the mistake of having 2063 02:01:42,320 --> 02:01:46,000 Speaker 1: their pushers out Like you're entering one end of the laptop. Yeah, 2064 02:01:46,440 --> 02:01:49,800 Speaker 1: your pushers are, and you've got your sitters. Yeah, you're 2065 02:01:49,800 --> 02:01:52,120 Speaker 1: thinking you're going to position them off the points off 2066 02:01:52,160 --> 02:01:53,200 Speaker 1: the other end of the lap. 2067 02:01:53,240 --> 02:01:55,680 Speaker 3: Strategy, man, that's a good trick is to have a 2068 02:01:55,680 --> 02:01:56,800 Speaker 3: guy mid laptop. 2069 02:01:57,040 --> 02:02:02,000 Speaker 1: Yeah, the one because a conceptualized in that pine tree 2070 02:02:02,000 --> 02:02:04,520 Speaker 1: pass the way you are. But you think he's gonna 2071 02:02:04,520 --> 02:02:07,360 Speaker 1: go to the end right and then hop out right, 2072 02:02:07,600 --> 02:02:10,360 Speaker 1: you know, but they're blowing outsides and you have a gun. 2073 02:02:10,560 --> 02:02:12,960 Speaker 3: That's what I'm saying. Flank Like you'll never hear me 2074 02:02:12,960 --> 02:02:15,640 Speaker 3: talk about a standard. A flanker is somebody mobile. 2075 02:02:15,800 --> 02:02:16,600 Speaker 1: Yeah, he's movement. 2076 02:02:16,640 --> 02:02:19,400 Speaker 3: They're flanking and maybe a few steps up ahead. 2077 02:02:19,160 --> 02:02:21,520 Speaker 1: And he's recognizing those gaps in the trees that he 2078 02:02:21,600 --> 02:02:23,560 Speaker 1: knows they're going to use to get out of there. Man. 2079 02:02:23,640 --> 02:02:25,080 Speaker 3: The other thing that's nice is then you can be 2080 02:02:25,160 --> 02:02:27,080 Speaker 3: within eyesight of each other too, so you can take 2081 02:02:27,120 --> 02:02:29,560 Speaker 3: your shot knowing where your buddy is. Yeah, right, Because 2082 02:02:29,560 --> 02:02:31,400 Speaker 3: a lot of times in grouse habitat, like you can 2083 02:02:31,840 --> 02:02:33,880 Speaker 3: if you're more than like thirty yards from your friend, 2084 02:02:33,920 --> 02:02:34,960 Speaker 3: you're not gonna be able to see him. 2085 02:02:35,040 --> 02:02:38,200 Speaker 2: Yeah, Carl, I had one more question for it. It's like, 2086 02:02:39,520 --> 02:02:41,880 Speaker 2: I'm surprised it didn't come up because it like it 2087 02:02:42,000 --> 02:02:44,480 Speaker 2: usually comes up in these kind of conversations, which is 2088 02:02:44,520 --> 02:02:48,680 Speaker 2: like predators and predator management, Like does it matter on 2089 02:02:48,760 --> 02:02:52,440 Speaker 2: grouse because I know a lot of grouse hunters be 2090 02:02:52,480 --> 02:02:56,000 Speaker 2: like raccoons are eating or whatever. I don't know, like I. 2091 02:02:55,960 --> 02:03:00,280 Speaker 1: Feel like, but there's something there with turkeys. But anyways, yeah, man, 2092 02:03:00,560 --> 02:03:02,160 Speaker 1: so who's killing. 2093 02:03:01,960 --> 02:03:05,640 Speaker 2: Every nobody anymore? That's part of why you. 2094 02:03:05,600 --> 02:03:08,320 Speaker 3: Know, Yeah, everybody's killing them, man, Like grouse and woodcock 2095 02:03:08,440 --> 02:03:15,080 Speaker 3: are delicious. Uh, they are little nuggets of energy on 2096 02:03:15,160 --> 02:03:17,600 Speaker 3: the landscape waiting to get eaten. And the nests too, 2097 02:03:18,160 --> 02:03:19,840 Speaker 3: and these systems are full of things that are going 2098 02:03:19,840 --> 02:03:21,920 Speaker 3: to eat them. And that's okay. 2099 02:03:22,640 --> 02:03:22,760 Speaker 4: Uh. 2100 02:03:23,480 --> 02:03:27,440 Speaker 3: The lever that matters is the habitat to be thinking about, like, oh, 2101 02:03:27,480 --> 02:03:29,360 Speaker 3: if I kill all the coyotes, kill all the fox 2102 02:03:29,480 --> 02:03:30,879 Speaker 3: or these possums getting nests. 2103 02:03:30,760 --> 02:03:35,400 Speaker 1: Or whatever, that is like that is not going to 2104 02:03:35,480 --> 02:03:38,360 Speaker 1: move the lever and people stay focused. I want people 2105 02:03:38,400 --> 02:03:42,320 Speaker 1: thinking about habitat. Man, let let all the sort itself out. 2106 02:03:42,440 --> 02:03:44,800 Speaker 1: And and and the thing is, we had a guy this, 2107 02:03:45,040 --> 02:03:47,400 Speaker 1: We had a guy in your seat came on top 2108 02:03:47,400 --> 02:03:54,640 Speaker 1: of the same conversation, Bob White Quail. He was your 2109 02:03:54,640 --> 02:03:57,840 Speaker 1: thing with habitat. He didn't do what you're doing down 2110 02:03:59,200 --> 02:04:03,600 Speaker 1: and he was like parasites, parasites, parasites, parasites. And man, 2111 02:04:06,800 --> 02:04:13,320 Speaker 1: we got just more negative feedback and pissed off people. Yeah, 2112 02:04:13,440 --> 02:04:20,080 Speaker 1: because he jumped to h he had the addacity to 2113 02:04:20,200 --> 02:04:20,880 Speaker 1: talk about. 2114 02:04:21,160 --> 02:04:22,760 Speaker 2: He also had a product he. 2115 02:04:22,840 --> 02:04:26,640 Speaker 1: Was that he worked on. Yes, yes, let me throw 2116 02:04:26,640 --> 02:04:30,600 Speaker 1: a couple of things in what I'm saying. He shifted 2117 02:04:30,760 --> 02:04:34,000 Speaker 1: and people were like, you gotta stay on the habitat. 2118 02:04:34,160 --> 02:04:37,480 Speaker 1: You can't talk about right, And people were pissed. They 2119 02:04:37,480 --> 02:04:38,920 Speaker 1: should be. Here's the thing. 2120 02:04:39,520 --> 02:04:42,600 Speaker 3: Here's the thing, man, let's talk about parasite loads not 2121 02:04:42,720 --> 02:04:46,440 Speaker 3: unlike the conversation around West Nile. A lot of these 2122 02:04:46,440 --> 02:04:52,920 Speaker 3: birds are gonna pick up all sorts of maladies, diseases, parasites, 2123 02:04:52,920 --> 02:04:59,080 Speaker 3: et cetera. Having quality habitat is going to mediate those effects. 2124 02:04:59,600 --> 02:05:02,760 Speaker 3: It's like the thing to do. And since you brought 2125 02:05:02,840 --> 02:05:08,000 Speaker 3: up Quail, I want to just briefly point out the 2126 02:05:08,080 --> 02:05:10,760 Speaker 3: fact that we spend a lot of time talking about 2127 02:05:10,760 --> 02:05:13,520 Speaker 3: eastern forests, and again I'm looking at the State of 2128 02:05:13,520 --> 02:05:19,040 Speaker 3: the Birds report in terms of declines Eastern bird Eastern 2129 02:05:19,080 --> 02:05:24,400 Speaker 3: forest birds twenty seven percent decline over the course of 2130 02:05:24,440 --> 02:05:29,280 Speaker 3: the last forty years. Looking at this graph from this 2131 02:05:29,320 --> 02:05:34,680 Speaker 3: report that there are two categories that have steeper declines 2132 02:05:35,240 --> 02:05:38,280 Speaker 3: that I want to highlight arid land birds and grassland birds. 2133 02:05:38,960 --> 02:05:41,880 Speaker 3: So grassland birds in particular, and I want to tie 2134 02:05:41,880 --> 02:05:47,560 Speaker 3: this back to the conversation about quail. We have talked 2135 02:05:47,560 --> 02:05:51,200 Speaker 3: today about the importance of markets and being able to 2136 02:05:51,240 --> 02:05:54,000 Speaker 3: move wood and not being able to move habitat without 2137 02:05:54,000 --> 02:05:56,680 Speaker 3: being able to move wood. One of the challenges with 2138 02:05:56,720 --> 02:06:02,320 Speaker 3: grassland ecosystems is figuring out how those ecosystems can pay 2139 02:06:02,320 --> 02:06:04,240 Speaker 3: their way right This is where the Farm Bill and 2140 02:06:04,280 --> 02:06:10,920 Speaker 3: programs like CRP incentivizing stewardship, and there's. 2141 02:06:10,840 --> 02:06:13,640 Speaker 1: Which isn't paying their way in the same way right now, 2142 02:06:14,680 --> 02:06:16,280 Speaker 1: and those are long term invest. 2143 02:06:16,080 --> 02:06:19,280 Speaker 3: Long term investments, and there's there's just some amazing success 2144 02:06:19,320 --> 02:06:24,880 Speaker 3: stories of ranchers taking a long view on habitat and 2145 02:06:24,920 --> 02:06:29,800 Speaker 3: trying to you know, trying to do right by grassland 2146 02:06:29,800 --> 02:06:34,280 Speaker 3: birds and also right by their herds and their bottom line. 2147 02:06:34,440 --> 02:06:36,720 Speaker 3: And it's it's harder in a system where you don't 2148 02:06:36,720 --> 02:06:41,320 Speaker 3: have the timber helping with those economics. But I want 2149 02:06:41,360 --> 02:06:47,120 Speaker 3: to just highlight, you know, folks have opportunities to be 2150 02:06:47,520 --> 02:06:50,760 Speaker 3: really involved with moving the needle. And I'm thinking back 2151 02:06:50,800 --> 02:06:54,720 Speaker 3: to last week being at pheasant Fest. You mentioned quail 2152 02:06:55,000 --> 02:06:58,440 Speaker 3: decline and quail in a lot of places in most 2153 02:06:58,440 --> 02:07:01,200 Speaker 3: places continue to struggle, and in fact, that's one of 2154 02:07:01,200 --> 02:07:04,000 Speaker 3: the reasons woodcock aer getting more attention is people who 2155 02:07:04,040 --> 02:07:07,960 Speaker 3: have historically loved hunting quail and have pointing dogs and 2156 02:07:07,960 --> 02:07:10,520 Speaker 3: all that, they're like discovering woodcock as an alternative in 2157 02:07:10,560 --> 02:07:13,920 Speaker 3: some places where quail, like in the quail Stronghold. But 2158 02:07:13,960 --> 02:07:17,680 Speaker 3: I just want to highlight the experience of last week 2159 02:07:17,840 --> 02:07:20,560 Speaker 3: being up in Minneapolis at pheasant Fest, so hosted by 2160 02:07:20,680 --> 02:07:24,920 Speaker 3: Pheasants Forever and Quail Forever, another organization that's really dialed 2161 02:07:24,960 --> 02:07:28,240 Speaker 3: in on this habitat piece in a different system right 2162 02:07:28,320 --> 02:07:35,640 Speaker 3: thinking about these grassland systems, and I'm a big proponent 2163 02:07:35,880 --> 02:07:40,880 Speaker 3: for folks to think about being affiliated with lots of 2164 02:07:40,880 --> 02:07:44,560 Speaker 3: different organizations and finding ways to support the missions of 2165 02:07:44,600 --> 02:07:47,879 Speaker 3: lots of different organizations, and I couldn't be more impressed 2166 02:07:47,920 --> 02:07:52,120 Speaker 3: with how Pheasants Forever and Quail Forever rolled out a 2167 02:07:52,160 --> 02:07:55,560 Speaker 3: red carpet for our organization and a whole host of 2168 02:07:55,560 --> 02:07:58,839 Speaker 3: other like prairie grouse organizations. We had this little corner, 2169 02:07:59,200 --> 02:08:01,400 Speaker 3: not a little corner. We had a great space at 2170 02:08:01,440 --> 02:08:04,600 Speaker 3: the at Pheasant Fest to talk about grouse conservation, both 2171 02:08:04,640 --> 02:08:09,280 Speaker 3: forest grouse and prairie grouse. And the thing I love 2172 02:08:09,320 --> 02:08:13,800 Speaker 3: about what Pheasants Forever is doing is taking this stance. 2173 02:08:13,880 --> 02:08:15,800 Speaker 3: Like I think it'd be really easy for folks to 2174 02:08:15,840 --> 02:08:19,440 Speaker 3: imagine there being a lot of competition among conservation organizations. 2175 02:08:19,680 --> 02:08:21,040 Speaker 1: It does not have to be that way. Man. 2176 02:08:21,080 --> 02:08:24,000 Speaker 3: There's so much work that needs to be done across 2177 02:08:24,040 --> 02:08:28,280 Speaker 3: these different ecosystems. We've got a niche with thinking about 2178 02:08:28,280 --> 02:08:30,920 Speaker 3: forest grouse, thinking about woodcock. But I've already told you 2179 02:08:30,960 --> 02:08:34,560 Speaker 3: like there are other nonprofits, American Bird Conservancy, Audubon Society, 2180 02:08:34,560 --> 02:08:38,600 Speaker 3: tnc there's so much work that needs to be done 2181 02:08:38,880 --> 02:08:42,880 Speaker 3: that from my perspective, there's no excuse for there to 2182 02:08:42,920 --> 02:08:45,760 Speaker 3: be a sense of competition among these organizations. We've got 2183 02:08:45,840 --> 02:08:49,080 Speaker 3: to be taking the tact that I saw last week 2184 02:08:49,120 --> 02:08:51,440 Speaker 3: from Pheasants Forever and Quail Forever, where they're creating a 2185 02:08:51,480 --> 02:08:54,080 Speaker 3: space to try to elevate the missions of all these 2186 02:08:54,080 --> 02:08:55,160 Speaker 3: different organizations. 2187 02:08:55,440 --> 02:08:59,360 Speaker 1: So my hope is that, well, it could be that 2188 02:08:59,400 --> 02:09:02,120 Speaker 1: it's it could be that there's a problem where the 2189 02:09:02,120 --> 02:09:09,120 Speaker 1: efforts are too scattered and not streamlined. Well, that's there. 2190 02:09:09,160 --> 02:09:11,160 Speaker 3: There is a risk there, and that's where I think 2191 02:09:11,200 --> 02:09:16,800 Speaker 3: having some strong alignment among collaborators and keeping your eye 2192 02:09:17,120 --> 02:09:21,800 Speaker 3: on the prize and finding ways to leverage the strengths 2193 02:09:22,160 --> 02:09:26,920 Speaker 3: and expertise of different partner organizations. I mentioned Rocky mountin 2194 02:09:26,960 --> 02:09:29,880 Speaker 3: Olk Foundation earlier, another group where you know they've got 2195 02:09:29,880 --> 02:09:31,560 Speaker 3: a strong presence in the West, they want to be 2196 02:09:31,560 --> 02:09:34,080 Speaker 3: able to implement work in the east. We can help 2197 02:09:34,120 --> 02:09:36,840 Speaker 3: them do that, so we're able to funnel some of 2198 02:09:36,880 --> 02:09:39,440 Speaker 3: their conservation investments through our organization. 2199 02:09:40,720 --> 02:09:44,360 Speaker 1: So I just I hope as folks. 2200 02:09:44,080 --> 02:09:51,120 Speaker 3: Are thinking about all of the needs, taking some time 2201 02:09:51,240 --> 02:09:54,840 Speaker 3: to learn about the bigger picture and not just not 2202 02:09:54,920 --> 02:09:58,480 Speaker 3: just focus on one ecosystem or one species, but think 2203 02:09:58,480 --> 02:10:02,120 Speaker 3: about these big concepts of what these landscapes need from us, 2204 02:10:02,200 --> 02:10:05,360 Speaker 3: and then finding ways to align and become a member 2205 02:10:05,360 --> 02:10:07,800 Speaker 3: of communities with organizations that are trying. 2206 02:10:07,640 --> 02:10:08,160 Speaker 1: To drive that. 2207 02:10:08,360 --> 02:10:10,760 Speaker 3: And I want to throw one other thing out that 2208 02:10:10,840 --> 02:10:15,760 Speaker 3: I'm really excited about right now in terms of collaboration, 2209 02:10:16,120 --> 02:10:19,920 Speaker 3: and that is when we were at pheasant Fest, one 2210 02:10:19,920 --> 02:10:23,360 Speaker 3: of the coolest things happen in there was we had 2211 02:10:23,720 --> 02:10:26,880 Speaker 3: a partnership with the all the Leopold Foundation at pheasant Fest. 2212 02:10:27,520 --> 02:10:32,320 Speaker 3: So anybody who was joining RGS and AWS as a 2213 02:10:32,320 --> 02:10:34,920 Speaker 3: conservation member, they were all getting copies of Sand County 2214 02:10:34,920 --> 02:10:43,280 Speaker 3: Almanac through the Leopold Foundation. And I think that's a 2215 02:10:43,320 --> 02:10:48,680 Speaker 3: significant collaboration because what we are, what we are doing 2216 02:10:48,680 --> 02:10:51,280 Speaker 3: with our work, and what I've been trying to communicate 2217 02:10:51,320 --> 02:10:56,560 Speaker 3: through the conversation today is that the significance of this 2218 02:10:56,640 --> 02:10:59,560 Speaker 3: effort is much It's about much more than just having 2219 02:10:59,600 --> 02:11:02,080 Speaker 3: really good grouse and woodcock hunting, right we're asked, we're 2220 02:11:02,080 --> 02:11:05,920 Speaker 3: trying to approach these big questions around responsibility to place 2221 02:11:06,120 --> 02:11:10,520 Speaker 3: and thinking about showing up in community in a meaningful way. 2222 02:11:10,640 --> 02:11:14,080 Speaker 3: And for anybody who's familiar with Leopold's work, those should 2223 02:11:14,120 --> 02:11:19,560 Speaker 3: sound like familiar concepts, and so this idea of highlighting 2224 02:11:20,480 --> 02:11:22,720 Speaker 3: those ideas and that legacy through the work that we're 2225 02:11:22,720 --> 02:11:26,160 Speaker 3: doing and trying to be exemplary ambassadors of that land 2226 02:11:26,200 --> 02:11:29,280 Speaker 3: ethic and action is something I'm really excited about. So 2227 02:11:29,560 --> 02:11:33,200 Speaker 3: just in the last week, we've gotten a h further 2228 02:11:33,280 --> 02:11:37,440 Speaker 3: commitment from the Elder Leopold Foundation for anyone who joins 2229 02:11:37,760 --> 02:11:42,440 Speaker 3: our organization in our membership drive right now, that deal 2230 02:11:42,920 --> 02:11:45,760 Speaker 3: is going to continue online. 2231 02:11:46,040 --> 02:11:46,360 Speaker 1: Yeah. 2232 02:11:46,400 --> 02:11:49,920 Speaker 3: So yeah, so if you go, we've got to We've 2233 02:11:49,920 --> 02:11:51,840 Speaker 3: got a slick little u r L now to use, 2234 02:11:51,880 --> 02:11:55,800 Speaker 3: which is ruffed dot org and make sure you spell ruffed. 2235 02:11:56,360 --> 02:12:00,560 Speaker 3: Are you f f ed rough dot org? And you'll 2236 02:12:00,560 --> 02:12:03,440 Speaker 3: get that's your guys website now it's this is this 2237 02:12:03,480 --> 02:12:05,400 Speaker 3: is a tight little u ur L that will take 2238 02:12:05,440 --> 02:12:08,840 Speaker 3: you to our rough do It'll take you to our 2239 02:12:08,920 --> 02:12:11,520 Speaker 3: membership campaign right now, not rough like roughed yep, but 2240 02:12:11,680 --> 02:12:15,240 Speaker 3: rough right you are you are you f f ed 2241 02:12:15,760 --> 02:12:18,520 Speaker 3: dot org? And get a copy of a sand County 2242 02:12:18,560 --> 02:12:22,720 Speaker 3: Almanac and get yourself a cool trucker hat with the 2243 02:12:22,760 --> 02:12:26,160 Speaker 3: grouse and a woodcock on it, and uh, get newsletters 2244 02:12:26,160 --> 02:12:29,840 Speaker 3: from both the Leopold Foundation and the Rough Grouse Society 2245 02:12:29,880 --> 02:12:34,800 Speaker 3: in American Woodcock Society and and the thing I want 2246 02:12:34,800 --> 02:12:38,520 Speaker 3: to highlight here, like memberships are great, but we're really 2247 02:12:38,520 --> 02:12:40,880 Speaker 3: trying to figure out is building this idea of building 2248 02:12:40,920 --> 02:12:45,800 Speaker 3: community around taking care of the land. That's what we're about, 2249 02:12:46,120 --> 02:12:49,640 Speaker 3: taking care of these forests, and we do that with memberships. 2250 02:12:49,680 --> 02:12:51,560 Speaker 3: We also have people who are volunteering, and I want 2251 02:12:51,560 --> 02:12:53,000 Speaker 3: to I want to say a huge thank you to 2252 02:12:53,040 --> 02:12:57,320 Speaker 3: everybody who volunteers to support our mission. We have tremendous 2253 02:12:57,320 --> 02:12:59,360 Speaker 3: We have folks who have been volunteering for this organization 2254 02:12:59,440 --> 02:13:03,400 Speaker 3: for decades, hosting banquets, fundraisers, all that kind of stuff, 2255 02:13:03,480 --> 02:13:05,720 Speaker 3: just pouring a ton of time and passion. We had 2256 02:13:05,800 --> 02:13:07,960 Speaker 3: volunteers at pheasant Fest helping staff our booth. So I 2257 02:13:08,000 --> 02:13:10,720 Speaker 3: want to say a huge thank you to the volunteers 2258 02:13:10,720 --> 02:13:13,640 Speaker 3: who are part of this organization. We have some incredibly 2259 02:13:13,720 --> 02:13:20,080 Speaker 3: generous private philanthropists who support our mission. But this idea 2260 02:13:20,120 --> 02:13:23,960 Speaker 3: of just having a community of people who are affiliated 2261 02:13:24,000 --> 02:13:25,920 Speaker 3: with the work that we do and want to see 2262 02:13:26,480 --> 02:13:28,960 Speaker 3: these forests left in a better condition than we found them, 2263 02:13:29,480 --> 02:13:31,560 Speaker 3: that's what we're trying to build. And I think in 2264 02:13:31,600 --> 02:13:34,400 Speaker 3: the conservation space, with some of the trends that we've 2265 02:13:34,400 --> 02:13:37,320 Speaker 3: talked about around declining participation, like what is the future 2266 02:13:38,360 --> 02:13:42,320 Speaker 3: of the funding model for conservation in this country, these 2267 02:13:42,400 --> 02:13:45,200 Speaker 3: questions about how do we build community around these ideas 2268 02:13:45,200 --> 02:13:47,880 Speaker 3: of responsibility to place. I think that is where the 2269 02:13:47,920 --> 02:13:50,080 Speaker 3: answer lies, and so we want to be one of 2270 02:13:50,120 --> 02:13:53,840 Speaker 3: the leaders along with our partners, in helping drive that 2271 02:13:53,920 --> 02:13:56,840 Speaker 3: kind of community building. So rough dot org check it out, 2272 02:13:56,920 --> 02:13:57,320 Speaker 3: join us. 2273 02:13:57,560 --> 02:14:01,720 Speaker 1: Thank you, Carl, Thanks Kyle, and again this is Carl Malcolm. 2274 02:14:01,760 --> 02:14:07,000 Speaker 1: He's the VP of Conservation with the Roffed Grouse Society 2275 02:14:07,160 --> 02:14:11,640 Speaker 1: and the American Woodcock Society. Thanks so much for coming 2276 02:14:11,640 --> 02:14:14,440 Speaker 1: on man, and please go check out so easy. Remember 2277 02:14:14,600 --> 02:14:18,600 Speaker 1: Ruffed are you f feed dot org Get yourself a 2278 02:14:18,680 --> 02:14:24,080 Speaker 1: membership Rough Grouse Society in the American Woodcock Society. Get 2279 02:14:24,120 --> 02:14:28,400 Speaker 1: perhaps the greatest, not even perhaps the greatest conservation book 2280 02:14:28,440 --> 02:14:31,400 Speaker 1: ever written. I won't to argue with that the greatest 2281 02:14:31,400 --> 02:14:36,320 Speaker 1: conservation book ever written San Connie Almanac, but Aldo Leopold 2282 02:14:36,960 --> 02:14:40,520 Speaker 1: and Carl doubles as a Leopold expert for you guys 2283 02:14:40,520 --> 02:14:43,280 Speaker 1: that you guys know that if you watch Me Eater 2284 02:14:43,360 --> 02:14:46,440 Speaker 1: the TV show and have listened to Carl's past appearances 2285 02:14:46,480 --> 02:14:48,400 Speaker 1: on this podcast. Again, thank you, Carl. 2286 02:14:49,000 --> 02:14:50,640 Speaker 3: Appreciate the opportunity, Steve get to see it.