1 00:00:02,880 --> 00:00:06,440 Speaker 1: Welcome to the Wired to Hunt podcast, your home for 2 00:00:06,519 --> 00:00:11,479 Speaker 1: deer hunting news, stories and strategies, and now your host, 3 00:00:11,880 --> 00:00:16,920 Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt podcast. I'm 4 00:00:16,960 --> 00:00:19,800 Speaker 1: your host, Mark Kenyon, and this is episode number forty 5 00:00:19,880 --> 00:00:23,239 Speaker 1: one change the show. We're joined by Kip Adams to 6 00:00:23,280 --> 00:00:25,800 Speaker 1: discuss the current state of white tales in North America. 7 00:00:26,480 --> 00:00:28,880 Speaker 1: This is a discussion and you're not going to want 8 00:00:28,880 --> 00:00:48,600 Speaker 1: to miss all right, welcome to the wire to Hunt podcast, 9 00:00:48,800 --> 00:00:51,280 Speaker 1: and today, as I mentioned earlier, we've got a great 10 00:00:51,320 --> 00:00:54,680 Speaker 1: guest in an important topic to discuss. Joining me in 11 00:00:54,760 --> 00:00:57,840 Speaker 1: Dan today is Kip Adams, who is a certified wildlife 12 00:00:57,840 --> 00:01:00,600 Speaker 1: biologist and the director of Education and Outreach for the 13 00:01:00,680 --> 00:01:04,560 Speaker 1: Quality Deer Management Association. But on top of that, in 14 00:01:04,600 --> 00:01:06,840 Speaker 1: my opinion, he's just simply one of the most knowledgeable 15 00:01:07,080 --> 00:01:09,360 Speaker 1: and well spoken people I've met on the topic of 16 00:01:09,400 --> 00:01:11,959 Speaker 1: white tailed deer. That said, part of his role at 17 00:01:12,000 --> 00:01:14,800 Speaker 1: the QTUM is to study trends and issues across the 18 00:01:14,800 --> 00:01:17,840 Speaker 1: white tail world and to help educate hunters about what's happening. 19 00:01:18,280 --> 00:01:21,160 Speaker 1: And that's exactly what we want to discuss with Kip today. 20 00:01:21,920 --> 00:01:24,560 Speaker 1: In many states, especially in the Midwest, right now, we've 21 00:01:24,600 --> 00:01:28,120 Speaker 1: been seeing rapidly declining deer herds and harvests, and many 22 00:01:28,160 --> 00:01:30,800 Speaker 1: other challenges are rising across the country along with that, 23 00:01:31,360 --> 00:01:33,200 Speaker 1: and the end result has been one of the roughest 24 00:01:33,200 --> 00:01:36,600 Speaker 1: patches in the white tailed world in decades. So with 25 00:01:36,640 --> 00:01:38,399 Speaker 1: all that being the case, we're gonna bring Kip on 26 00:01:38,400 --> 00:01:40,480 Speaker 1: the line here in a minute to discuss all of 27 00:01:40,520 --> 00:01:44,360 Speaker 1: this and more. But first, Dan, are you ready for this? 28 00:01:45,360 --> 00:01:50,480 Speaker 1: I hope so, me too. Do you think this is 29 00:01:50,520 --> 00:01:54,680 Speaker 1: gonna be an interesting conversation? Yeah, I've always kind of 30 00:01:54,680 --> 00:01:59,400 Speaker 1: found this really interesting because you know, yeah, there's there's 31 00:01:59,400 --> 00:02:02,520 Speaker 1: a lot of statio sticks to back up people's arguments 32 00:02:02,640 --> 00:02:04,840 Speaker 1: of what is good and what is bad for the 33 00:02:04,920 --> 00:02:09,799 Speaker 1: quote unquote dear heard. But um, I don't know. I 34 00:02:10,280 --> 00:02:12,079 Speaker 1: love it's it's a lot of a lot of it's 35 00:02:12,120 --> 00:02:15,640 Speaker 1: objective as well, because you know, it comes down to 36 00:02:16,000 --> 00:02:21,560 Speaker 1: I mean subjective, yeah, subjective, that's right, subjective, objective, subjective anyway, 37 00:02:21,600 --> 00:02:23,640 Speaker 1: don't delete that out because it makes me sound real, 38 00:02:24,000 --> 00:02:27,440 Speaker 1: right and if any if anything, Dan, you are real. 39 00:02:27,600 --> 00:02:33,000 Speaker 1: That's that's so a lot of its subjective. So, um, 40 00:02:34,120 --> 00:02:35,799 Speaker 1: I just I'm curious of what he has to say 41 00:02:35,800 --> 00:02:39,680 Speaker 1: on some of that, yeah, I think. Um, if you know, 42 00:02:39,840 --> 00:02:41,720 Speaker 1: I don't know how much you've been tuned into this, 43 00:02:41,840 --> 00:02:45,400 Speaker 1: but um, you know, because of because as some people know, 44 00:02:45,440 --> 00:02:47,520 Speaker 1: I've been working with the National Deer Lines over the 45 00:02:47,600 --> 00:02:52,799 Speaker 1: last four or five months. Um, I've been privy to 46 00:02:52,919 --> 00:02:55,240 Speaker 1: a whole lot of feedback from a lot of hunters 47 00:02:55,240 --> 00:02:58,880 Speaker 1: from across the country, and there is just a tremendous 48 00:02:59,000 --> 00:03:02,679 Speaker 1: up swell of concern about white tales over the past year, 49 00:03:02,760 --> 00:03:05,359 Speaker 1: more than you know, I've ever heard. Of course, there's 50 00:03:05,360 --> 00:03:07,880 Speaker 1: always been complaints every year from different factions, but it 51 00:03:07,880 --> 00:03:11,080 Speaker 1: seems like now there's definitely, um, kind of a perfect 52 00:03:11,120 --> 00:03:14,280 Speaker 1: storm of new challenges and issues that are affecting deer 53 00:03:14,280 --> 00:03:18,160 Speaker 1: in a lot of places and hunters and um, you know, 54 00:03:18,200 --> 00:03:20,519 Speaker 1: it's it's an interesting time to be a white tail hunter. 55 00:03:20,560 --> 00:03:22,359 Speaker 1: And I was actually working on a larger article for 56 00:03:22,400 --> 00:03:24,520 Speaker 1: a magazine on this very feet, on this very topic 57 00:03:24,560 --> 00:03:27,600 Speaker 1: two and have interviewed a bunch of biologists and different 58 00:03:27,600 --> 00:03:32,600 Speaker 1: professors and wildlife agency representatives and officers and getting a 59 00:03:32,639 --> 00:03:35,760 Speaker 1: whole bunch of different perspectives on this, and UM, you know, 60 00:03:35,760 --> 00:03:37,920 Speaker 1: if there's anything I can take away from all of that, 61 00:03:38,480 --> 00:03:41,160 Speaker 1: it's that there's definitely something going on here, like things 62 00:03:41,200 --> 00:03:45,720 Speaker 1: are definitely changing UM. And that being the case, you know, 63 00:03:45,960 --> 00:03:47,640 Speaker 1: I think Kip is going to be the perfect guy 64 00:03:47,640 --> 00:03:50,000 Speaker 1: to talk to about what's happening at that larger level. 65 00:03:50,160 --> 00:03:52,119 Speaker 1: You know. As I mentioned in that little intro there, 66 00:03:52,920 --> 00:03:55,280 Speaker 1: you know, kIPS work at the q d M a UM. 67 00:03:55,320 --> 00:03:58,400 Speaker 1: From what I understand and from conversations conversations with him 68 00:03:58,400 --> 00:04:01,600 Speaker 1: and others, you know, he's really responsible for, you know, 69 00:04:02,200 --> 00:04:04,800 Speaker 1: talking to all the biologists, talking to the hunters, talking 70 00:04:04,840 --> 00:04:08,600 Speaker 1: to UM agencies, talking to all these different representatives across 71 00:04:08,680 --> 00:04:11,000 Speaker 1: all kind of levels of the deer hunting world to 72 00:04:11,000 --> 00:04:13,080 Speaker 1: figure out, you know, what's going on out there. So 73 00:04:13,240 --> 00:04:15,520 Speaker 1: he can understand from from a high level, from a 74 00:04:15,560 --> 00:04:18,000 Speaker 1: thirty thousand foot view, you know, what are the trends, 75 00:04:18,200 --> 00:04:20,880 Speaker 1: what are the issues, what are the challenges UM, and 76 00:04:20,880 --> 00:04:23,200 Speaker 1: then we can start educating and we can start learning. 77 00:04:23,600 --> 00:04:26,920 Speaker 1: So I know that keeps been working on something called 78 00:04:26,960 --> 00:04:29,360 Speaker 1: the White Tail Report, which the qut MAY puts out 79 00:04:29,360 --> 00:04:31,640 Speaker 1: every year, and so I know he's been working on 80 00:04:31,680 --> 00:04:33,840 Speaker 1: that recently, and that's gonna be coming out here pretty soon, 81 00:04:33,880 --> 00:04:36,640 Speaker 1: the new two thousand fifteen edition. And I think a 82 00:04:36,640 --> 00:04:38,560 Speaker 1: lot of the things that they've compiled for that report, 83 00:04:38,600 --> 00:04:40,040 Speaker 1: we're gonna be able to discuss here, and I think 84 00:04:40,040 --> 00:04:42,279 Speaker 1: that's gonna be I think that's gonna be pretty interesting. 85 00:04:42,720 --> 00:04:45,000 Speaker 1: So I'm excited to hear what he has to say. 86 00:04:45,000 --> 00:04:48,440 Speaker 1: I'm interested, um, and I'm definitely looking forward to hearing 87 00:04:48,480 --> 00:04:51,000 Speaker 1: his perspective on all these different things, because sometimes, you know, 88 00:04:51,000 --> 00:04:53,599 Speaker 1: there's kind of a doom and gloom perspective, especially recently 89 00:04:53,640 --> 00:04:55,880 Speaker 1: from a lot of guys. And I'm curious to see 90 00:04:55,880 --> 00:04:59,040 Speaker 1: what kIPS thoughts are based on, you know, all the 91 00:04:59,120 --> 00:05:01,440 Speaker 1: hubbub that we've in here and across the news and 92 00:05:01,560 --> 00:05:05,200 Speaker 1: all media outlets really recently. So it's gonna be good. 93 00:05:05,680 --> 00:05:08,560 Speaker 1: What I'm curious Dan, what do you think from your 94 00:05:08,600 --> 00:05:11,080 Speaker 1: experience and your I understand you hunt, you know, white 95 00:05:11,120 --> 00:05:13,480 Speaker 1: tails in one place, Um, but how do you feel 96 00:05:13,480 --> 00:05:16,919 Speaker 1: about the state of white tails and the population and 97 00:05:16,960 --> 00:05:22,440 Speaker 1: the herd just given your personal views and experience, well 98 00:05:24,400 --> 00:05:28,599 Speaker 1: from you know, just observing the areas that I hunt, Um, 99 00:05:28,720 --> 00:05:33,560 Speaker 1: and I've hunted them for years now. The the population 100 00:05:33,720 --> 00:05:38,119 Speaker 1: in my area I feel is down from from previous years. 101 00:05:38,160 --> 00:05:40,480 Speaker 1: I remember when I first started bow hunting, I'd sit 102 00:05:40,480 --> 00:05:44,320 Speaker 1: in a tree stand and would see fifteen to twenty 103 00:05:44,400 --> 00:05:49,960 Speaker 1: different deer at night, and that's a lot. Yeah, this year, Uh, 104 00:05:50,040 --> 00:05:53,760 Speaker 1: you know, fast forward ten years and those numbers are down. 105 00:05:54,480 --> 00:06:00,440 Speaker 1: But this year was the highest quality of buck that 106 00:06:00,520 --> 00:06:04,200 Speaker 1: I've ever seen in in a hunting season as far 107 00:06:04,279 --> 00:06:07,440 Speaker 1: as an age class, you know, through trail cameras and whatnot, 108 00:06:08,400 --> 00:06:11,440 Speaker 1: and as far as numbers, I felt there down. I 109 00:06:11,440 --> 00:06:14,320 Speaker 1: almost felt like the properties that I was hunting had 110 00:06:14,360 --> 00:06:16,760 Speaker 1: a bit of a swing as far as our ratio 111 00:06:16,880 --> 00:06:22,560 Speaker 1: is concerned, too more bucks than those And I don't 112 00:06:22,640 --> 00:06:24,800 Speaker 1: I think, I'm not a percent sure what the q 113 00:06:24,920 --> 00:06:27,719 Speaker 1: d m A says that the right ratio is supposed 114 00:06:27,760 --> 00:06:31,520 Speaker 1: to be, but I would say it was over too 115 00:06:32,279 --> 00:06:38,840 Speaker 1: two bucks per doll interesting and yeah, so so so 116 00:06:38,920 --> 00:06:45,719 Speaker 1: for me, I feel I'm okay with lower numbers, higher quality. Yeah, 117 00:06:45,920 --> 00:06:49,240 Speaker 1: I think. Um. You know an interesting thing here to 118 00:06:49,360 --> 00:06:50,760 Speaker 1: take away from a little bit of what you just 119 00:06:50,760 --> 00:06:53,800 Speaker 1: said there is the fact that right when we're taught, 120 00:06:53,800 --> 00:06:55,520 Speaker 1: when when I ask you the question what do you 121 00:06:55,520 --> 00:06:56,920 Speaker 1: feel how do you feel about the state of white 122 00:06:56,960 --> 00:07:00,320 Speaker 1: tails right now? Your answer, in your opinions gonna be 123 00:07:00,360 --> 00:07:02,600 Speaker 1: based on your experience right there in your neck of 124 00:07:02,600 --> 00:07:05,840 Speaker 1: the woods where you hunt right, um. And that's how 125 00:07:05,880 --> 00:07:08,640 Speaker 1: it is for pretty much everyone. So when I asked, 126 00:07:08,760 --> 00:07:11,640 Speaker 1: you know, Bob from Indiana, what do you think about 127 00:07:11,680 --> 00:07:13,880 Speaker 1: white tails right now? What white tail hunting? About the 128 00:07:13,880 --> 00:07:17,240 Speaker 1: deer situation, They're gonna give you their observations. You know, 129 00:07:17,240 --> 00:07:19,920 Speaker 1: their opinions can be almost saurily solely based on their 130 00:07:19,960 --> 00:07:22,520 Speaker 1: observations right in their neck of the woods from the 131 00:07:22,560 --> 00:07:24,760 Speaker 1: ten times they went out or the twenty times they 132 00:07:24,760 --> 00:07:27,440 Speaker 1: want on their forty acres or their acres or whatever 133 00:07:27,440 --> 00:07:31,080 Speaker 1: it is. Um. And so you get a lot of people, 134 00:07:31,200 --> 00:07:33,920 Speaker 1: and this is perfectly natural, but we all develop our 135 00:07:33,960 --> 00:07:37,440 Speaker 1: own idea of what's going on and what the situation 136 00:07:37,560 --> 00:07:39,440 Speaker 1: is and what the issues are, all based on our 137 00:07:39,440 --> 00:07:41,560 Speaker 1: own personal experiences in our little neck of the woods 138 00:07:41,560 --> 00:07:43,520 Speaker 1: where we hunt. But we all kind of get this 139 00:07:43,560 --> 00:07:45,960 Speaker 1: little tunnel vision because our whole opinion on the issues 140 00:07:46,080 --> 00:07:48,480 Speaker 1: or the situation is based on, you know, our little 141 00:07:48,520 --> 00:07:52,160 Speaker 1: piece of the pie um. And so you get some 142 00:07:52,200 --> 00:07:54,120 Speaker 1: people that are really upset, or some people that are 143 00:07:54,160 --> 00:07:56,120 Speaker 1: really happy, or some people that are really concerned, or 144 00:07:56,160 --> 00:07:58,280 Speaker 1: some people that are totally content, and it's all based 145 00:07:58,320 --> 00:08:00,400 Speaker 1: on you know, this one kind of looking through a straw. 146 00:08:00,440 --> 00:08:03,280 Speaker 1: They're looking through the straw, at their little piece. Um. 147 00:08:03,320 --> 00:08:05,240 Speaker 1: And so you've got millions of hunters that are all 148 00:08:05,320 --> 00:08:08,239 Speaker 1: kind of looking at the situation, the white tail situation, 149 00:08:08,280 --> 00:08:12,280 Speaker 1: through the little straw. And what I'm starting to see 150 00:08:12,360 --> 00:08:14,720 Speaker 1: now that I've been involved with this organizations and trying 151 00:08:14,760 --> 00:08:16,560 Speaker 1: to look at the bigger picture and seeing all the 152 00:08:16,560 --> 00:08:18,920 Speaker 1: different perspectives and all the different issues and how they're 153 00:08:18,960 --> 00:08:22,119 Speaker 1: different across all over the country. You know, there's certain 154 00:08:22,160 --> 00:08:25,600 Speaker 1: states where we're seeing some real, you know, significant issues, 155 00:08:25,640 --> 00:08:28,920 Speaker 1: and then there's other states where things are totally hunky dory, 156 00:08:29,120 --> 00:08:31,720 Speaker 1: at least at a high level. UM. So it's an 157 00:08:31,760 --> 00:08:34,760 Speaker 1: interesting time because things are really different across different parts 158 00:08:34,760 --> 00:08:37,920 Speaker 1: of the country. Some hunters are very happy, some hunters 159 00:08:37,920 --> 00:08:40,960 Speaker 1: are really upset. Some places populations are declining, and maybe 160 00:08:40,960 --> 00:08:43,319 Speaker 1: that's a good thing because they're too high. Some places 161 00:08:43,320 --> 00:08:45,800 Speaker 1: populations are arising, and maybe that's a good thing too 162 00:08:45,800 --> 00:08:49,880 Speaker 1: because they're too low. Um. There's a lot of different things, 163 00:08:49,920 --> 00:08:51,360 Speaker 1: and a lot of things are in flux. And I think, 164 00:08:51,480 --> 00:08:54,600 Speaker 1: you know, the point of me mentioning all that is 165 00:08:54,640 --> 00:08:57,760 Speaker 1: that when we pull Kip on here in a in 166 00:08:57,800 --> 00:08:59,920 Speaker 1: a minute, I think he's going to be a give 167 00:09:00,040 --> 00:09:02,320 Speaker 1: us this high level overview instead of looking through a 168 00:09:02,320 --> 00:09:04,480 Speaker 1: straw that I look through, where that maybe you look through, 169 00:09:04,640 --> 00:09:06,599 Speaker 1: you know, the average guy one of our listeners. I 170 00:09:06,600 --> 00:09:08,679 Speaker 1: think Kip's gonna be able give us a perspective that looks, 171 00:09:08,720 --> 00:09:10,720 Speaker 1: you know, not at the straw, but he's looking at 172 00:09:10,720 --> 00:09:14,120 Speaker 1: the whole big, big gulp, eighty four ounds cup and 173 00:09:14,160 --> 00:09:16,040 Speaker 1: you can see the whole picture based on the fact, 174 00:09:16,040 --> 00:09:17,840 Speaker 1: he's going to talk to people across the country and 175 00:09:17,880 --> 00:09:20,480 Speaker 1: get those perspectives and look at the actual data, not 176 00:09:20,559 --> 00:09:25,480 Speaker 1: just what Bill says, but you know what all the 177 00:09:25,559 --> 00:09:28,960 Speaker 1: numbers are saying. So I'm interested. I'm interested to see 178 00:09:29,000 --> 00:09:30,960 Speaker 1: what the status is because you know, I've been hearing 179 00:09:30,960 --> 00:09:33,400 Speaker 1: people cry bloody murder, you know, over the past six 180 00:09:33,400 --> 00:09:35,360 Speaker 1: months or a year or so, and for good reason 181 00:09:35,440 --> 00:09:36,960 Speaker 1: in a lot of cases. You know, the more numbers 182 00:09:36,960 --> 00:09:39,040 Speaker 1: I see, the more concerned I get. But I want 183 00:09:39,040 --> 00:09:40,440 Speaker 1: to I want to see if Kip's gonna give us 184 00:09:40,440 --> 00:09:42,280 Speaker 1: reality check or if he's gonna say, hey, there are 185 00:09:42,280 --> 00:09:47,080 Speaker 1: some issues. Um I don't know. So that said, what 186 00:09:47,120 --> 00:09:50,480 Speaker 1: do you think about pulling Kip Adams on the line 187 00:09:50,800 --> 00:09:53,079 Speaker 1: and just getting started with this conversation. I say, we 188 00:09:53,160 --> 00:09:58,280 Speaker 1: get the party started, all right, let's do it all 189 00:09:58,360 --> 00:10:01,960 Speaker 1: right here with this now is Hip Adams, welcome to show. Kip. 190 00:10:02,920 --> 00:10:06,000 Speaker 1: Thank you, Martin Man. I appreciate it absolutely. We are, 191 00:10:06,520 --> 00:10:07,800 Speaker 1: you know, as we were just talking about a little 192 00:10:07,800 --> 00:10:11,120 Speaker 1: bit earlier, we're really excited to talk to you, given 193 00:10:11,400 --> 00:10:13,320 Speaker 1: you know, everything that's been happening in the white tailed 194 00:10:13,320 --> 00:10:16,040 Speaker 1: world over the last couple of years. There's I think 195 00:10:16,520 --> 00:10:19,520 Speaker 1: a fever pitch of people talking about, you know, how 196 00:10:19,559 --> 00:10:21,920 Speaker 1: things are changing and some of the issues affecting deer 197 00:10:21,960 --> 00:10:24,080 Speaker 1: across the country right now. And I know, given your work, 198 00:10:24,120 --> 00:10:28,160 Speaker 1: you've got some interesting perspective on that. Now. Earlier in 199 00:10:28,160 --> 00:10:30,280 Speaker 1: the show, I gave our audience a brief instruction to 200 00:10:30,360 --> 00:10:32,880 Speaker 1: who you are and what you do. But you'll be 201 00:10:32,920 --> 00:10:34,960 Speaker 1: interested to hear from you, you know, could you share 202 00:10:34,960 --> 00:10:37,240 Speaker 1: with us a bit more about your background into you know, 203 00:10:37,240 --> 00:10:38,880 Speaker 1: what you've done to this point related to deer and 204 00:10:38,920 --> 00:10:42,080 Speaker 1: deer management and kind of what you do now. Sure, 205 00:10:42,440 --> 00:10:44,320 Speaker 1: I grew up in northern Pennsylvania, and i grew up 206 00:10:44,320 --> 00:10:47,120 Speaker 1: in a hunting family, so I've always been involved in 207 00:10:47,160 --> 00:10:50,080 Speaker 1: the outdoors. Uh, you know, I spent my entire life 208 00:10:50,080 --> 00:10:52,120 Speaker 1: in the woods, and it was very fortunate to learn 209 00:10:52,160 --> 00:10:54,360 Speaker 1: early on that that's what I wanted to do for 210 00:10:54,400 --> 00:10:57,559 Speaker 1: a career. So I went to school, UM, got a 211 00:10:57,600 --> 00:11:00,240 Speaker 1: whilife degree, went to the University of Hampshire for a 212 00:11:00,320 --> 00:11:03,920 Speaker 1: graduate degree, and spent the last twenty or twenty five 213 00:11:04,000 --> 00:11:08,000 Speaker 1: years either conducting research on deer or managing deer for 214 00:11:08,000 --> 00:11:11,079 Speaker 1: for state wildlife agencies, or the last thirteen working with 215 00:11:11,160 --> 00:11:14,320 Speaker 1: q D m a UM. I have a unique perspective 216 00:11:14,320 --> 00:11:16,000 Speaker 1: and that the first two jobs I had out of 217 00:11:16,000 --> 00:11:19,240 Speaker 1: graduate school or for state, I managed a bunch of 218 00:11:19,320 --> 00:11:22,760 Speaker 1: land in central Florida for the Florida Game and Fish Commission, 219 00:11:22,920 --> 00:11:25,400 Speaker 1: and then I went back to New Hampshire and took 220 00:11:25,440 --> 00:11:27,640 Speaker 1: over as the state's deer and bear biologists in the 221 00:11:27,679 --> 00:11:30,920 Speaker 1: New Hampshire Fishing Game Department. So that gave me a 222 00:11:31,000 --> 00:11:33,160 Speaker 1: very good feel for you know what it takes to 223 00:11:33,240 --> 00:11:35,640 Speaker 1: manage a state wide deer heard um, all of the 224 00:11:35,720 --> 00:11:38,520 Speaker 1: constituents that are involved, you know, all of the issues 225 00:11:38,520 --> 00:11:40,319 Speaker 1: that come and win that. You know, you have to 226 00:11:40,320 --> 00:11:42,960 Speaker 1: look at the biology of it, the social nature of it, 227 00:11:43,040 --> 00:11:46,760 Speaker 1: the politics of it. So uh that helps me tremendously 228 00:11:46,800 --> 00:11:48,800 Speaker 1: at my job with q D m a working with 229 00:11:49,160 --> 00:11:52,960 Speaker 1: state agencies and hunters and landowners because I have a 230 00:11:52,960 --> 00:11:55,200 Speaker 1: pretty good feel for all the factors that go into 231 00:11:55,280 --> 00:11:58,080 Speaker 1: to managing deer um, certainly a lot more than just 232 00:11:58,120 --> 00:12:00,760 Speaker 1: the science end of it, and uh and hopefully a 233 00:12:00,800 --> 00:12:03,720 Speaker 1: little bit on how to be successful mention all of 234 00:12:03,760 --> 00:12:08,000 Speaker 1: those stakeholders together to make a very successful program. Because 235 00:12:08,240 --> 00:12:10,520 Speaker 1: at heart, I'm a deer hunter more than anything else. 236 00:12:10,559 --> 00:12:12,839 Speaker 1: So I'm lucky to be a dear biologist. But I 237 00:12:12,960 --> 00:12:15,600 Speaker 1: often say my seminars, I am first and foremost a 238 00:12:15,640 --> 00:12:17,880 Speaker 1: deer hunter, and so that's what's near and dear to 239 00:12:17,920 --> 00:12:21,360 Speaker 1: my heart. Yeah. I love that perspective that you bring 240 00:12:21,480 --> 00:12:24,880 Speaker 1: given your past experience as a biologist also as a hunter. 241 00:12:25,320 --> 00:12:26,720 Speaker 1: You know, also in your role to qute you may 242 00:12:26,760 --> 00:12:29,360 Speaker 1: You've got some really interesting experiences that I think give you. 243 00:12:29,920 --> 00:12:33,920 Speaker 1: Um you know this almost three degree perspective that a 244 00:12:33,960 --> 00:12:35,680 Speaker 1: lot of us don't have. You're able to see it 245 00:12:35,679 --> 00:12:38,120 Speaker 1: from all these different angles. Um you know that said, 246 00:12:38,200 --> 00:12:39,520 Speaker 1: can you tell us a little bit more about what 247 00:12:39,559 --> 00:12:43,040 Speaker 1: you do now with the Quality Deer Management Association. Sure, 248 00:12:43,320 --> 00:12:45,800 Speaker 1: I'm our director of Education and Outreach, and what that 249 00:12:45,840 --> 00:12:48,840 Speaker 1: means is that that I oversee our reach program and 250 00:12:48,920 --> 00:12:53,559 Speaker 1: reaches an acronym the stands for research, educate, advocate, certify 251 00:12:53,679 --> 00:12:57,320 Speaker 1: and hunt and UH and those five things and capsuleate 252 00:12:57,400 --> 00:13:00,439 Speaker 1: QT MAZE mission. So I'm lucky to get it to 253 00:13:00,480 --> 00:13:02,800 Speaker 1: work with a number of great people there. But oversee 254 00:13:02,920 --> 00:13:05,800 Speaker 1: each of those components on what QTMY does on a 255 00:13:05,880 --> 00:13:08,800 Speaker 1: daily basis, such as the research programs that we get 256 00:13:08,800 --> 00:13:12,160 Speaker 1: involved with. UM. We're able to secure funding from a 257 00:13:12,200 --> 00:13:15,840 Speaker 1: few different sources to help put funds towards valuable research 258 00:13:15,880 --> 00:13:20,000 Speaker 1: projects on deer and habitat. We help design some research projects. 259 00:13:20,280 --> 00:13:21,959 Speaker 1: And the nice thing about it is, you know, we 260 00:13:21,960 --> 00:13:24,080 Speaker 1: we do all of this with hunters in mind, and 261 00:13:24,120 --> 00:13:28,559 Speaker 1: that it's really nice to know exactly how dear see 262 00:13:28,720 --> 00:13:30,920 Speaker 1: or here. But we take the tex that all right, 263 00:13:31,000 --> 00:13:32,720 Speaker 1: let's look at that from a hunting perspective, and how 264 00:13:32,760 --> 00:13:35,520 Speaker 1: can that help hunters when we help get involved with 265 00:13:35,640 --> 00:13:38,920 Speaker 1: research projects. So so I enjoy the research in UH, 266 00:13:38,960 --> 00:13:42,280 Speaker 1: the educational end, that's really the horse that brought QDM 267 00:13:42,280 --> 00:13:44,520 Speaker 1: A to the race, and so I get that to 268 00:13:44,559 --> 00:13:47,280 Speaker 1: help oversee all of the different educational programs that we 269 00:13:47,360 --> 00:13:50,280 Speaker 1: have UM, whether that stuff that's in print or in 270 00:13:50,400 --> 00:13:54,200 Speaker 1: posters or DVDs, or on television or on the web. 271 00:13:55,200 --> 00:13:57,320 Speaker 1: We've we've produced that stuff in a lot of different 272 00:13:57,320 --> 00:14:00,800 Speaker 1: formats just because hunters today like to recee even different ways. 273 00:14:00,840 --> 00:14:03,080 Speaker 1: Though old hunters tend to like to have something in 274 00:14:03,080 --> 00:14:05,320 Speaker 1: their hands, uh you know, a hard copy of them 275 00:14:05,440 --> 00:14:07,559 Speaker 1: to look at, where a lot of younger hunters and 276 00:14:07,640 --> 00:14:10,400 Speaker 1: youth hunters much prefer something on the web or something 277 00:14:10,400 --> 00:14:13,680 Speaker 1: digital format. So we try to keep it exciting, try 278 00:14:13,720 --> 00:14:16,120 Speaker 1: to keep it fresh so that we can provide information 279 00:14:16,160 --> 00:14:19,760 Speaker 1: in a format that all hunters can use and enjoy 280 00:14:19,880 --> 00:14:24,680 Speaker 1: and and uh gain value from. Uh. The advocacy part 281 00:14:24,880 --> 00:14:28,040 Speaker 1: is it's amazing the number of legislative bills that impact 282 00:14:28,120 --> 00:14:32,360 Speaker 1: deer each year. Unfortunately many of them would would impact negatively. 283 00:14:32,600 --> 00:14:35,800 Speaker 1: So uh qum A fights for for hunters rights like 284 00:14:35,880 --> 00:14:40,160 Speaker 1: nobody else with regard to the supporting good legislation, opposing 285 00:14:40,200 --> 00:14:42,360 Speaker 1: bad legislation, you know, and just making sure that we 286 00:14:42,520 --> 00:14:45,240 Speaker 1: get good information to legislators to help them make good 287 00:14:45,280 --> 00:14:47,280 Speaker 1: decisions on hey, you know, is is this good for 288 00:14:47,400 --> 00:14:49,880 Speaker 1: hunting or not? And uh, well, we get involved with 289 00:14:49,880 --> 00:14:52,920 Speaker 1: a lot of advocacy the users each year along those lines, 290 00:14:53,720 --> 00:14:55,880 Speaker 1: um you know, and many people don't realize they don't 291 00:14:55,880 --> 00:14:58,560 Speaker 1: have a clue what's going on out there with regard 292 00:14:58,600 --> 00:15:01,760 Speaker 1: to legislation, and and I certainly didn't before I was 293 00:15:01,800 --> 00:15:05,000 Speaker 1: in this role, but it is amazing, UM what's going 294 00:15:05,040 --> 00:15:08,560 Speaker 1: on in that world that would directly impact deer management 295 00:15:08,640 --> 00:15:11,400 Speaker 1: UM if a lot of that stuff did pass. From 296 00:15:11,400 --> 00:15:14,440 Speaker 1: the certification end that we have certification programs both for 297 00:15:14,520 --> 00:15:17,680 Speaker 1: individuals which is what we call our Dear Steward program UM, 298 00:15:17,720 --> 00:15:21,400 Speaker 1: as well as for land a land certification program. And uh, 299 00:15:21,560 --> 00:15:24,720 Speaker 1: we have our programs manager, Matt Ross, who I know 300 00:15:25,080 --> 00:15:27,160 Speaker 1: you know well does a great job of that. But 301 00:15:27,240 --> 00:15:29,480 Speaker 1: I get to work with Matt regularly to to put 302 00:15:29,520 --> 00:15:33,000 Speaker 1: on those programs, to speak at them, and to make 303 00:15:33,000 --> 00:15:36,480 Speaker 1: sure that we're delivering the highest quality programs available to folks. 304 00:15:37,160 --> 00:15:39,840 Speaker 1: And the last part is the hunt UM. That's our hunting, 305 00:15:39,880 --> 00:15:43,000 Speaker 1: heritage peace and that's where our mentored Hunting program falls 306 00:15:43,000 --> 00:15:45,920 Speaker 1: into that UM. That's where our youth program, which we 307 00:15:45,960 --> 00:15:50,280 Speaker 1: affectionately call the rat pack um falls into that. Hank Forsters, 308 00:15:50,280 --> 00:15:52,760 Speaker 1: our our youth program manager. And you know, we have 309 00:15:52,840 --> 00:15:56,240 Speaker 1: a whole section on just kids and youth that's about 310 00:15:56,240 --> 00:15:58,240 Speaker 1: a lot more than just hunting. You know, we certainly 311 00:15:58,280 --> 00:16:00,920 Speaker 1: advocate to take kids hunting. But this is about just 312 00:16:00,960 --> 00:16:03,360 Speaker 1: getting into the woods, taking them fish and teach them 313 00:16:03,360 --> 00:16:06,600 Speaker 1: about the outdoors. Let him explore. So why it's our 314 00:16:06,640 --> 00:16:09,920 Speaker 1: youth program is a really cool program that Uh, I'm 315 00:16:10,000 --> 00:16:12,520 Speaker 1: I'm fortunate to get to work with a little bit. Yeah, 316 00:16:12,520 --> 00:16:15,760 Speaker 1: I think that's a that's a terrific initiative to Um. 317 00:16:15,920 --> 00:16:17,680 Speaker 1: I think the other thing I really take away from 318 00:16:17,720 --> 00:16:20,800 Speaker 1: that terrific explanations that you are a busy man, Kip, 319 00:16:20,920 --> 00:16:24,960 Speaker 1: you are very busy. That's a good thing. Though if 320 00:16:25,000 --> 00:16:27,240 Speaker 1: I wasn't busy or that that would be bad for deer. 321 00:16:27,360 --> 00:16:30,680 Speaker 1: So it's uh, you know, I I love what I do. 322 00:16:30,760 --> 00:16:32,480 Speaker 1: I'm very lucky to get to do what I do. 323 00:16:32,560 --> 00:16:34,680 Speaker 1: So I'm glad there's there's so much out there that 324 00:16:34,680 --> 00:16:37,560 Speaker 1: means that deer are important and hunters are important, and 325 00:16:37,720 --> 00:16:41,480 Speaker 1: uh so that's a good thing. Yeah. Absolutely. Now one 326 00:16:41,480 --> 00:16:44,560 Speaker 1: more thing I know you also work on is the 327 00:16:44,600 --> 00:16:48,000 Speaker 1: annual white Tail Report that The Cutie May releases each year. 328 00:16:48,600 --> 00:16:51,360 Speaker 1: And you know in past reports I've seen you know 329 00:16:51,400 --> 00:16:53,000 Speaker 1: that you guys look at a lot of the top 330 00:16:53,040 --> 00:16:56,840 Speaker 1: issues and trends that affect deer across the country. UM, 331 00:16:56,880 --> 00:16:59,280 Speaker 1: and I know that you are wrapping that up right 332 00:16:59,320 --> 00:17:01,280 Speaker 1: now for the new for two thousand and fifteen. So 333 00:17:01,280 --> 00:17:04,200 Speaker 1: I'm sure you've been, you know, diving deep into all 334 00:17:04,200 --> 00:17:07,119 Speaker 1: these different topics that are, um I think of interest 335 00:17:07,200 --> 00:17:09,560 Speaker 1: to hunters across the country. Especially with the two thousand 336 00:17:09,520 --> 00:17:11,679 Speaker 1: and fourteen season just wrapping up and all the harvest 337 00:17:11,760 --> 00:17:14,600 Speaker 1: numbers coming in, there's lots of people, you know, having 338 00:17:14,680 --> 00:17:16,680 Speaker 1: questions about why are these numbers the way they are, 339 00:17:16,960 --> 00:17:18,679 Speaker 1: or what's happening to the white deale herds, or are 340 00:17:18,760 --> 00:17:20,600 Speaker 1: things going well or things going bad? There's a lot 341 00:17:20,640 --> 00:17:24,280 Speaker 1: of questions. So what I wanted to frame the majority 342 00:17:24,320 --> 00:17:28,320 Speaker 1: of our conversation today around was this this question of 343 00:17:28,320 --> 00:17:30,760 Speaker 1: you know, what's the current state of white tails in 344 00:17:30,800 --> 00:17:36,080 Speaker 1: North America. So to start kept at a very high level, 345 00:17:36,320 --> 00:17:39,639 Speaker 1: I'm curious, given everything you've been looking into and what 346 00:17:39,680 --> 00:17:43,280 Speaker 1: you found and what you've heard right now, what is 347 00:17:43,320 --> 00:17:46,520 Speaker 1: your diagnosis of the state of white tails in North America? 348 00:17:47,960 --> 00:17:51,520 Speaker 1: We look okay, Marie, I'm an optimist, So so I'll 349 00:17:51,560 --> 00:17:53,280 Speaker 1: start by saying, there's a lot of very good things 350 00:17:53,280 --> 00:17:57,760 Speaker 1: going on with your hunting and deer management right now. UM. 351 00:17:57,880 --> 00:18:00,639 Speaker 1: For instance, we know that this past year, and we 352 00:18:00,720 --> 00:18:04,520 Speaker 1: killed a record low percentage of yearling bucks in the harvest. UM. 353 00:18:04,560 --> 00:18:08,600 Speaker 1: Back when we first started looking at this, well over 354 00:18:09,640 --> 00:18:11,440 Speaker 1: all the bucks killed were just one and a half 355 00:18:11,960 --> 00:18:16,240 Speaker 1: and today the number has dropped the lowest ever and 356 00:18:16,280 --> 00:18:19,000 Speaker 1: actually last year was the lowest ever and this year, 357 00:18:19,000 --> 00:18:22,480 Speaker 1: you know, we beat a record again. So it's a 358 00:18:22,600 --> 00:18:25,800 Speaker 1: very positive trend. You know, with was hunters passing deer. 359 00:18:26,000 --> 00:18:29,480 Speaker 1: Some agencies obviously have regulations that require hunters to pass 360 00:18:29,520 --> 00:18:31,879 Speaker 1: the majority of yearling bucks, but you know, above and 361 00:18:31,920 --> 00:18:34,600 Speaker 1: beyond that, there's just a lot of hunters that willingly 362 00:18:34,960 --> 00:18:36,840 Speaker 1: passed those one and a half year old deer. And 363 00:18:37,000 --> 00:18:38,720 Speaker 1: so I think it's a very positive sign for the 364 00:18:38,720 --> 00:18:41,320 Speaker 1: future of of hunting and and for deer management and 365 00:18:41,400 --> 00:18:44,480 Speaker 1: something that's directly related to education, you know, over the 366 00:18:44,480 --> 00:18:47,560 Speaker 1: past decade or so. So so I think that is 367 00:18:47,680 --> 00:18:50,600 Speaker 1: very good. UM And along with that, since we're protecting 368 00:18:50,640 --> 00:18:53,560 Speaker 1: more yearling bucks, that means we're moving bucks into more 369 00:18:53,600 --> 00:18:59,360 Speaker 1: older age classes, which is great for viewing, photographing, hunting, calling, 370 00:18:59,440 --> 00:19:02,120 Speaker 1: et cetera. And uh. In this past year, we also 371 00:19:02,160 --> 00:19:04,840 Speaker 1: set a record for the percentage of the national buck 372 00:19:04,840 --> 00:19:07,240 Speaker 1: harvest that was at least three and a half years old, 373 00:19:07,920 --> 00:19:09,520 Speaker 1: so you know, three and a half, four and a half, 374 00:19:09,560 --> 00:19:11,480 Speaker 1: five and a half year old bucks. You know, nearly 375 00:19:11,520 --> 00:19:13,840 Speaker 1: a third of all the bucks killed in the United 376 00:19:13,840 --> 00:19:16,240 Speaker 1: States last year or at least three and a half 377 00:19:16,320 --> 00:19:18,600 Speaker 1: years old, you know, and that it's just amazing to 378 00:19:18,680 --> 00:19:20,960 Speaker 1: think how far we've come in a very short period 379 00:19:21,000 --> 00:19:24,400 Speaker 1: of time, moving dear into some of these older age classes. 380 00:19:24,440 --> 00:19:28,600 Speaker 1: So hunters deserve a tremendous pat on the back, you know, 381 00:19:28,720 --> 00:19:31,360 Speaker 1: for that, and something that they should be very very 382 00:19:31,359 --> 00:19:36,760 Speaker 1: proud of. That's terrific. Now, is there anything you know 383 00:19:36,800 --> 00:19:39,159 Speaker 1: that's on the the optimistic side of things? There's some 384 00:19:39,240 --> 00:19:41,480 Speaker 1: those are some positive numbers, and that's exciting to see, 385 00:19:42,080 --> 00:19:44,840 Speaker 1: especially for someone you know like me who um is 386 00:19:44,880 --> 00:19:47,600 Speaker 1: excited about the principles of quality deer management and allowing 387 00:19:47,600 --> 00:19:49,639 Speaker 1: those bucks to get to an older age class and 388 00:19:49,680 --> 00:19:51,639 Speaker 1: how that changes the dynamics of the herd and the 389 00:19:51,680 --> 00:19:55,040 Speaker 1: experience of the hunt and everything on those lines. Um, 390 00:19:55,160 --> 00:19:57,159 Speaker 1: Is there anything on the other end of the spectrum 391 00:19:57,320 --> 00:19:59,520 Speaker 1: that is concerning that you're seeing over the you know, 392 00:19:59,560 --> 00:20:03,560 Speaker 1: given your research recently for the state of our herd, Yeah, 393 00:20:03,600 --> 00:20:05,960 Speaker 1: there is, and you know this annual report that you 394 00:20:06,040 --> 00:20:07,800 Speaker 1: talked about. You know, we actually call you know, it's 395 00:20:07,840 --> 00:20:09,720 Speaker 1: kind of a state of the Union address for a 396 00:20:09,840 --> 00:20:12,600 Speaker 1: deer and we look at the biggest issues each year 397 00:20:12,800 --> 00:20:15,320 Speaker 1: and then talk about them in this and uh, we've 398 00:20:15,320 --> 00:20:17,199 Speaker 1: been doing this since two thousand and nine. You know, 399 00:20:17,200 --> 00:20:19,560 Speaker 1: in each year, there there's certainly some top issues, whether 400 00:20:19,600 --> 00:20:23,000 Speaker 1: it's a disease outbreak or a certain perspective that some 401 00:20:23,119 --> 00:20:25,720 Speaker 1: group has taken on deer that that impacts deer hunting. 402 00:20:26,119 --> 00:20:29,240 Speaker 1: And uh, but I can honestly say that the reports 403 00:20:29,280 --> 00:20:31,280 Speaker 1: that we're just finishing up right now, I think there's 404 00:20:31,280 --> 00:20:34,120 Speaker 1: more pressing issues in that um that we haven't dealt 405 00:20:34,160 --> 00:20:36,800 Speaker 1: with in the past than ever before, and in some 406 00:20:36,960 --> 00:20:38,880 Speaker 1: huge issues that we're going to have to base going 407 00:20:38,960 --> 00:20:42,800 Speaker 1: forward as hunters and deer managers. And uh, two of 408 00:20:42,800 --> 00:20:46,800 Speaker 1: the biggest of that are declining deer herds in some 409 00:20:46,880 --> 00:20:49,480 Speaker 1: areas and uh, you know, for a long time we've 410 00:20:49,480 --> 00:20:51,640 Speaker 1: talked about just having way too many deer and they're 411 00:20:51,640 --> 00:20:54,160 Speaker 1: trying to reduce deer herds. And you know a lot 412 00:20:54,200 --> 00:20:58,080 Speaker 1: of people incorrectly equated QDM but just shooting all the doughs. 413 00:20:58,119 --> 00:21:00,639 Speaker 1: But you know, a quantity your manager and has always 414 00:21:00,680 --> 00:21:03,040 Speaker 1: been about shooting the appropriate number of those, you know, 415 00:21:03,119 --> 00:21:05,600 Speaker 1: to balance those deer herds with a habitat. And I 416 00:21:05,640 --> 00:21:07,240 Speaker 1: think that we're seeing some states now, you know, that 417 00:21:07,320 --> 00:21:09,960 Speaker 1: have been aggressively trying to reduce deer hurts, which is 418 00:21:10,000 --> 00:21:12,160 Speaker 1: a good thing. You know that maybe now have hit 419 00:21:12,240 --> 00:21:15,480 Speaker 1: that balance point, and uh, some that possibly have dipped 420 00:21:15,480 --> 00:21:18,280 Speaker 1: a little too far below that. Um. The thing is, 421 00:21:18,320 --> 00:21:20,920 Speaker 1: you know, that's correctable. So well, that's a very positive thing. 422 00:21:21,320 --> 00:21:24,240 Speaker 1: But now we need to educate hunters again to say, okay, 423 00:21:24,280 --> 00:21:27,080 Speaker 1: you know, we cannot have a record harvest every year. 424 00:21:27,280 --> 00:21:30,480 Speaker 1: You know, as we reach our dear population goals, we're 425 00:21:30,480 --> 00:21:33,719 Speaker 1: going to have lower harvest. But I think there are 426 00:21:33,760 --> 00:21:36,480 Speaker 1: some states out there that have such reductions in the 427 00:21:36,520 --> 00:21:38,959 Speaker 1: harvest that you know, probably have gone a little too 428 00:21:39,000 --> 00:21:41,960 Speaker 1: far and has a lot of hunters concerns and rightfully so. 429 00:21:42,720 --> 00:21:45,240 Speaker 1: And and you know what, there's that region is clearly 430 00:21:45,920 --> 00:21:49,440 Speaker 1: the Midwest at the epicenter of that um. One of 431 00:21:49,480 --> 00:21:51,439 Speaker 1: the chapters in the white Tail Report we looked at 432 00:21:51,520 --> 00:21:54,840 Speaker 1: is the harvest data both bucks and analyst dear, you know, 433 00:21:55,000 --> 00:21:56,760 Speaker 1: and we look at that every year. How does this 434 00:21:56,800 --> 00:21:59,320 Speaker 1: compare to last year and two years ago? And what 435 00:21:59,440 --> 00:22:01,879 Speaker 1: is the age ructure of that. But we added a 436 00:22:01,960 --> 00:22:04,840 Speaker 1: chapter this year that looked at whereas and now versus 437 00:22:04,840 --> 00:22:07,040 Speaker 1: where what's it ten years ago? Kind of you know, 438 00:22:07,119 --> 00:22:10,160 Speaker 1: a decade look and now. What we're found is there 439 00:22:10,240 --> 00:22:13,879 Speaker 1: is a huge change from a decade ago in some states. Uh, 440 00:22:14,040 --> 00:22:17,160 Speaker 1: the Northeast is doing pretty well as it's very similar, 441 00:22:17,520 --> 00:22:20,280 Speaker 1: the Southeast is very similar as the region. There's certainly 442 00:22:20,320 --> 00:22:22,959 Speaker 1: states within there that are up or down, but overall 443 00:22:23,040 --> 00:22:25,520 Speaker 1: those are pretty close to what the shot now versus 444 00:22:25,520 --> 00:22:28,600 Speaker 1: a decade ago. But the Midwest harvest in most places 445 00:22:28,600 --> 00:22:32,040 Speaker 1: have just fallen off the table. It is amazing what 446 00:22:32,200 --> 00:22:34,960 Speaker 1: some of those states have gone through and overall shooting 447 00:22:35,040 --> 00:22:38,800 Speaker 1: you know, almost fewer bucks today in the Midwest as 448 00:22:38,840 --> 00:22:43,080 Speaker 1: the decade ago, and uh drop are almost it's actually 449 00:22:43,119 --> 00:22:46,040 Speaker 1: an eighteen percent, but an eighteen percent drop is a 450 00:22:46,200 --> 00:22:49,600 Speaker 1: huge drop. Um wow. So anyway, there's there's a lot 451 00:22:49,640 --> 00:22:53,400 Speaker 1: of hunters concerned, and probably for good reasons. Um particularly 452 00:22:53,400 --> 00:22:54,879 Speaker 1: you can look at a couple of the states and 453 00:22:54,880 --> 00:22:57,600 Speaker 1: then you know in big deer hunting states where buck 454 00:22:57,640 --> 00:23:02,280 Speaker 1: harvests are down over um are almost you know that 455 00:23:02,440 --> 00:23:05,119 Speaker 1: that's a big deal, particularly when you look at the 456 00:23:05,119 --> 00:23:07,440 Speaker 1: analysts harvest in some of these states, it's down even 457 00:23:07,480 --> 00:23:10,960 Speaker 1: farther than the than the buck harvest. So that's there's 458 00:23:11,040 --> 00:23:13,399 Speaker 1: there's a lot of issues right now with your numbers 459 00:23:13,400 --> 00:23:16,199 Speaker 1: in the Midwest. And uh so this is not the 460 00:23:16,440 --> 00:23:17,960 Speaker 1: not the end of the story by any means. We're 461 00:23:17,960 --> 00:23:20,280 Speaker 1: gonna hear a lot about this in the coming months 462 00:23:20,320 --> 00:23:24,200 Speaker 1: and likely the next few years. Wow. So I've got 463 00:23:24,320 --> 00:23:26,720 Speaker 1: twofold questions that. Number one, you mentioned a couple of 464 00:23:26,760 --> 00:23:30,600 Speaker 1: states that are seeing declines closer. What are these What 465 00:23:30,680 --> 00:23:33,119 Speaker 1: are these couple of states that are the epicenter of 466 00:23:33,160 --> 00:23:35,600 Speaker 1: these largest changes? I guess it is my first question. 467 00:23:36,480 --> 00:23:39,400 Speaker 1: The Actually the state that it looked had the biggest 468 00:23:39,400 --> 00:23:44,680 Speaker 1: decline nationwide was Alabama fifty percent reduction. But two things 469 00:23:44,680 --> 00:23:47,600 Speaker 1: about that I'll qualify wanted it's obviously not in the Midwest, 470 00:23:47,760 --> 00:23:51,679 Speaker 1: but that state reduction was was more related to a 471 00:23:51,760 --> 00:23:55,720 Speaker 1: buck bag limit change than actual deer herd change. Back 472 00:23:55,720 --> 00:23:58,119 Speaker 1: in two thousand and seven oh seven h eight season, 473 00:23:58,520 --> 00:24:00,880 Speaker 1: they went from used to be in Alabama you could 474 00:24:00,920 --> 00:24:03,600 Speaker 1: choose a buck a day for the entire season, and 475 00:24:03,960 --> 00:24:06,320 Speaker 1: they limited that to three bucks for the whole season, 476 00:24:06,680 --> 00:24:09,920 Speaker 1: So that really changed. So saved a lot of bucks, 477 00:24:09,920 --> 00:24:12,320 Speaker 1: which is a very good thing. So that reduction is 478 00:24:12,359 --> 00:24:15,640 Speaker 1: actually a positive for for the deer hunting world, even 479 00:24:15,640 --> 00:24:18,520 Speaker 1: though it looks like the biggest decline. But as far 480 00:24:18,560 --> 00:24:22,000 Speaker 1: as the Midwest goes, there's the state that buck harvest 481 00:24:22,040 --> 00:24:25,080 Speaker 1: declined the most, uh, and you know was Prevorit shocker 482 00:24:25,200 --> 00:24:30,000 Speaker 1: is Iowa. Iowa's buck harvests dropped in the last decade, 483 00:24:31,200 --> 00:24:34,960 Speaker 1: so obviously a well known big buck state, you know, 484 00:24:35,000 --> 00:24:38,000 Speaker 1: a very popular deer hunting destination for anybody that can 485 00:24:38,000 --> 00:24:40,520 Speaker 1: get a tag and get in there. So, you know, 486 00:24:41,560 --> 00:24:46,040 Speaker 1: decline as a huge, huge deal. So so, Kip, I'm 487 00:24:46,080 --> 00:24:47,960 Speaker 1: not sure if you know, but Dan, my co host, 488 00:24:48,119 --> 00:24:52,439 Speaker 1: is an Iowa resident and hunter. So Dan, what what 489 00:24:52,520 --> 00:24:54,399 Speaker 1: are your what's your action to hearing that? What do 490 00:24:54,400 --> 00:24:59,639 Speaker 1: you think about that? Well, you know you said forty 491 00:24:59,680 --> 00:25:03,840 Speaker 1: three per center, right, Kip, that's correct over the past decade, now, 492 00:25:04,240 --> 00:25:06,440 Speaker 1: you know, And and me and Mark has a short 493 00:25:06,480 --> 00:25:09,480 Speaker 1: discussion about this before we we got you on and 494 00:25:09,480 --> 00:25:12,080 Speaker 1: and from my tree stand in my hunting properties, I 495 00:25:12,119 --> 00:25:15,760 Speaker 1: only get to see a very small um sampling of 496 00:25:15,920 --> 00:25:19,199 Speaker 1: what is out there. And and this year, um I 497 00:25:19,240 --> 00:25:21,960 Speaker 1: saw a smaller deer number and I even said, over 498 00:25:22,000 --> 00:25:25,440 Speaker 1: the past ten years, I saw a smaller deer number, um, 499 00:25:25,480 --> 00:25:28,680 Speaker 1: but I saw higher quality bucks. Now you said that 500 00:25:29,000 --> 00:25:31,760 Speaker 1: the Iowa buck harvest over the past decade is down 501 00:25:31,800 --> 00:25:37,359 Speaker 1: fort is what what kind of I guess from a 502 00:25:37,359 --> 00:25:41,960 Speaker 1: statistics standpoint, what are you taking into consideration to to 503 00:25:42,160 --> 00:25:47,879 Speaker 1: know that that number is down each year? For for 504 00:25:48,119 --> 00:25:52,080 Speaker 1: the White Tail Report, we do a state Walife agency survey. 505 00:25:52,160 --> 00:25:54,840 Speaker 1: So what we ask every single state walife agencies and 506 00:25:54,920 --> 00:25:58,359 Speaker 1: Deer project leader a series of questions and and and 507 00:25:58,480 --> 00:26:00,800 Speaker 1: on that survey as we asked a number of antlered 508 00:26:00,800 --> 00:26:04,000 Speaker 1: bucks that were killed UH that year or the year before, 509 00:26:04,320 --> 00:26:06,399 Speaker 1: as well as the number of analysts here. And then 510 00:26:06,480 --> 00:26:08,919 Speaker 1: we also ask age structure questions and all that. And 511 00:26:09,240 --> 00:26:12,359 Speaker 1: unfortunately Iowa DNR does not collect age structure data, so 512 00:26:12,400 --> 00:26:15,000 Speaker 1: they could never give us the percentage of the harvest 513 00:26:15,040 --> 00:26:16,480 Speaker 1: that was one and a half or two and a 514 00:26:16,520 --> 00:26:18,520 Speaker 1: half or three and a half and older. But but 515 00:26:18,560 --> 00:26:21,200 Speaker 1: they always give us the number of bucks and analysts 516 00:26:21,200 --> 00:26:24,160 Speaker 1: here that are taken the year before. So so those 517 00:26:24,200 --> 00:26:27,560 Speaker 1: harvest numbers are straight from the DNR data that that 518 00:26:27,600 --> 00:26:30,040 Speaker 1: we just keep on an annual basis. And then UH 519 00:26:30,400 --> 00:26:34,600 Speaker 1: used to compare and make these type of analyzes. So 520 00:26:34,760 --> 00:26:39,399 Speaker 1: from that, I guess there's several different things that could 521 00:26:39,720 --> 00:26:42,400 Speaker 1: you know, play in the role of that number. Are 522 00:26:42,480 --> 00:26:46,440 Speaker 1: are people passing? I know you mentioned this for Alabama, 523 00:26:46,520 --> 00:26:50,440 Speaker 1: but UM is your guys research showing that people are 524 00:26:50,480 --> 00:26:54,679 Speaker 1: passing more? Dear are are is there? I don't know 525 00:26:54,880 --> 00:26:58,119 Speaker 1: disease involved? Is there less number of hunters? I guess 526 00:26:58,800 --> 00:27:01,679 Speaker 1: it doesn't have to be Iowa's specifically, but for for 527 00:27:01,720 --> 00:27:05,680 Speaker 1: the overall buck buck harvest decline, where are you guys seeing? 528 00:27:06,640 --> 00:27:09,479 Speaker 1: I think there's a couple of things there. Disease has 529 00:27:09,560 --> 00:27:12,639 Speaker 1: certainly played into that. Two thousand and twelve was the 530 00:27:12,680 --> 00:27:17,120 Speaker 1: worst hemorrhagic disease outbreak on record UM and right before that, 531 00:27:17,160 --> 00:27:20,880 Speaker 1: two thousand and seven was the previous record outbreak. So 532 00:27:21,720 --> 00:27:23,960 Speaker 1: disease certainly plays in. You know, we've had some really 533 00:27:24,000 --> 00:27:27,440 Speaker 1: bad winners recently. What does that have played in? UM? 534 00:27:27,480 --> 00:27:29,440 Speaker 1: You know in in Iowa as well, And if it 535 00:27:29,560 --> 00:27:32,520 Speaker 1: was just people passing there certain bucks or something you 536 00:27:32,560 --> 00:27:34,840 Speaker 1: know that may play something to that. But from the 537 00:27:34,880 --> 00:27:39,879 Speaker 1: analysts harvest side, Iowa's analysts harvest is down during that 538 00:27:39,920 --> 00:27:43,000 Speaker 1: same time period, so you know there's lots of talk 539 00:27:43,080 --> 00:27:45,840 Speaker 1: out of Iowa about hundreds just not seeing as many deer, 540 00:27:46,160 --> 00:27:47,520 Speaker 1: And then all part of this is, you know, as 541 00:27:47,520 --> 00:27:50,199 Speaker 1: the Ihiowa has been trying to reduce that deer. You 542 00:27:50,200 --> 00:27:52,439 Speaker 1: know ten years ago it was way above where it 543 00:27:52,440 --> 00:27:54,560 Speaker 1: should have been, so you know, there should come down. 544 00:27:54,960 --> 00:27:56,840 Speaker 1: And so I think, you know, that's the question then 545 00:27:56,880 --> 00:27:59,520 Speaker 1: becomes not such that you know, the sky is falling 546 00:27:59,560 --> 00:28:01,760 Speaker 1: here as it's okay, you know, have we come down 547 00:28:01,800 --> 00:28:03,440 Speaker 1: far and off? Are are we to the point now 548 00:28:03,440 --> 00:28:06,480 Speaker 1: where we need to stabilize this heard rather than continue 549 00:28:06,560 --> 00:28:09,560 Speaker 1: to reduce it. So but as far as wives come down, 550 00:28:09,800 --> 00:28:12,000 Speaker 1: I think there's a lot of factors. Diseases played in 551 00:28:12,359 --> 00:28:15,000 Speaker 1: the winners have played in obviously just hundred. Harvest is 552 00:28:15,040 --> 00:28:16,919 Speaker 1: played in, you know as as one of the goals 553 00:28:16,920 --> 00:28:19,560 Speaker 1: for hunters to shoot a bunch, so well that that 554 00:28:19,640 --> 00:28:22,359 Speaker 1: plays into that really as big as well. But but 555 00:28:22,400 --> 00:28:25,160 Speaker 1: I'll tell you I think a personal opinion is looking 556 00:28:25,200 --> 00:28:28,320 Speaker 1: at not just Iowa, but all of the Midwest. Um, 557 00:28:28,359 --> 00:28:31,320 Speaker 1: I think one of the biggest factors that has played 558 00:28:31,400 --> 00:28:35,119 Speaker 1: into you know, these huge reductions and endear hurts is 559 00:28:35,440 --> 00:28:38,120 Speaker 1: is habitat loss. If you take a look at the 560 00:28:38,120 --> 00:28:41,240 Speaker 1: amount of CRP land that the US has lost from 561 00:28:41,280 --> 00:28:44,040 Speaker 1: two thousand and seven to two thousand and fourteen. It's 562 00:28:44,080 --> 00:28:47,640 Speaker 1: a huge decline. We've lost over nine million acres of 563 00:28:47,720 --> 00:28:50,240 Speaker 1: CRP in the US during that time period. That's that's 564 00:28:50,240 --> 00:28:54,400 Speaker 1: a full all the CRP land we had was lost 565 00:28:54,640 --> 00:28:57,680 Speaker 1: since two thousand and seven, and and well over half 566 00:28:57,760 --> 00:29:01,480 Speaker 1: of that it's directly from the Midwest. Midwest has lost 567 00:29:01,520 --> 00:29:04,040 Speaker 1: over five million acres. So if you look at a 568 00:29:04,080 --> 00:29:06,440 Speaker 1: region that you know that one of the most critical 569 00:29:06,480 --> 00:29:11,240 Speaker 1: habitat components anyway is cover, you know, and now you're 570 00:29:11,280 --> 00:29:15,160 Speaker 1: losing even more cover to go back into row crops um. 571 00:29:15,240 --> 00:29:17,200 Speaker 1: You know, that really does not play well for for 572 00:29:17,240 --> 00:29:20,280 Speaker 1: white tails at all. And so my professional opinion is 573 00:29:20,320 --> 00:29:23,280 Speaker 1: we're really starting to feel some of the effects they're oh, 574 00:29:23,600 --> 00:29:26,680 Speaker 1: you know, the loss of this critical habitat that's directly 575 00:29:26,720 --> 00:29:29,040 Speaker 1: playing into the productivity of some of these deer hets. 576 00:29:30,040 --> 00:29:34,640 Speaker 1: So so, and I'm going to use iowa um number 577 00:29:34,640 --> 00:29:39,040 Speaker 1: that you said again. But because there is a decline 578 00:29:39,120 --> 00:29:44,760 Speaker 1: in the population of the herd, and there's also um 579 00:29:44,840 --> 00:29:49,840 Speaker 1: what people would consider less of a buck harvest, how 580 00:29:49,920 --> 00:29:53,280 Speaker 1: how does the q d m A then tell the public, 581 00:29:54,040 --> 00:29:58,080 Speaker 1: you know, don't worry about, you know, less buck harvest 582 00:29:58,720 --> 00:30:03,720 Speaker 1: because it's not necessarily a bad number. I'm not necessary. 583 00:30:04,080 --> 00:30:06,320 Speaker 1: I think Acutum is not saying that that's not don't 584 00:30:06,320 --> 00:30:08,200 Speaker 1: worry about it's not a bad number. I think that's 585 00:30:08,240 --> 00:30:10,520 Speaker 1: a huge number and something that they definitely should be 586 00:30:10,520 --> 00:30:13,840 Speaker 1: concerned about. You know, buck harvest has dropped five percent 587 00:30:14,000 --> 00:30:16,200 Speaker 1: or ten percent, Okay, you know that's well within the 588 00:30:16,200 --> 00:30:18,680 Speaker 1: limits of trying to reduce a deer herd. But you 589 00:30:18,760 --> 00:30:21,800 Speaker 1: drop a buck carvest over and a dough harvest over. 590 00:30:23,080 --> 00:30:26,000 Speaker 1: I think it's the red flags are flying like crazy 591 00:30:26,000 --> 00:30:28,280 Speaker 1: and sirens are going off. Hey, you know, something's going 592 00:30:28,320 --> 00:30:30,320 Speaker 1: on here. We really need to take a look at this. 593 00:30:31,000 --> 00:30:34,320 Speaker 1: Got you. Yeah, So a handful of different things that 594 00:30:34,360 --> 00:30:37,760 Speaker 1: you mentioned, kip Um, I would like to dive into further. 595 00:30:38,040 --> 00:30:41,440 Speaker 1: And again, this, this whole topic of deer populations is 596 00:30:41,480 --> 00:30:44,760 Speaker 1: something that's just you know, every dance social media people 597 00:30:44,760 --> 00:30:47,440 Speaker 1: are talking about, new articles are popping up in you know, 598 00:30:47,560 --> 00:30:50,479 Speaker 1: different news media outlets across the country, and it's definitely 599 00:30:50,840 --> 00:30:52,480 Speaker 1: the topic that seems to be top of mind for 600 00:30:52,480 --> 00:30:55,800 Speaker 1: a lot of people. Um So, you mentioned habitat losses 601 00:30:55,960 --> 00:30:58,200 Speaker 1: is a big possible issue, and that's something that a 602 00:30:58,200 --> 00:31:00,400 Speaker 1: lot of people seem to be glossing over. When I 603 00:31:00,440 --> 00:31:02,040 Speaker 1: hear a lot of people talking about this, they don't 604 00:31:02,040 --> 00:31:03,760 Speaker 1: tend to mention that is one of the issues that 605 00:31:03,800 --> 00:31:07,120 Speaker 1: they think is possibly affecting what's going on here. Um. 606 00:31:07,200 --> 00:31:11,680 Speaker 1: One of the largest typical um culprits that I hear 607 00:31:12,400 --> 00:31:16,080 Speaker 1: is the agencies are telling us to kill too many deer, right, 608 00:31:16,120 --> 00:31:18,200 Speaker 1: they've been issuing too many tags, or they're they're trying 609 00:31:18,200 --> 00:31:21,240 Speaker 1: to kill off all the deer because insurance companies want 610 00:31:21,240 --> 00:31:23,280 Speaker 1: them to do that, or whatever it might be. So 611 00:31:23,360 --> 00:31:25,880 Speaker 1: my question for you, Kip, is does that argument hold 612 00:31:25,920 --> 00:31:29,120 Speaker 1: any weight? Is there any truth to that? What are 613 00:31:29,120 --> 00:31:31,640 Speaker 1: your thoughts on the idea that you know, we can 614 00:31:31,720 --> 00:31:34,000 Speaker 1: be pointing the finger at somebody like that or the 615 00:31:34,040 --> 00:31:36,800 Speaker 1: agencies that they're just pushing too many, too many doughs 616 00:31:36,840 --> 00:31:39,080 Speaker 1: to be killed or too many deer to be killed. Well, 617 00:31:39,120 --> 00:31:42,680 Speaker 1: there's certainly more stakeholders involved today with agencies and in 618 00:31:42,720 --> 00:31:45,880 Speaker 1: the past, Um, you know, several decades ago, hunters or 619 00:31:45,960 --> 00:31:49,000 Speaker 1: mouth the only stakeholders at the table. And today we 620 00:31:49,040 --> 00:31:52,440 Speaker 1: have hunters, we certainly have the insurance agencies, we have farmers, 621 00:31:52,480 --> 00:31:55,680 Speaker 1: we have the anti hunters. We have homeowners associations. There's 622 00:31:55,760 --> 00:31:58,160 Speaker 1: just a lot more people to have the ear of 623 00:31:58,160 --> 00:32:00,960 Speaker 1: our d nrs today, you know, well to try to 624 00:32:01,080 --> 00:32:04,000 Speaker 1: get their agenda passed. Now, as far as the the 625 00:32:04,000 --> 00:32:07,080 Speaker 1: insurance companies driving you all these deer harvest um, you know, 626 00:32:07,160 --> 00:32:10,720 Speaker 1: I've been to literally hundreds and hundreds of public gear 627 00:32:10,800 --> 00:32:13,760 Speaker 1: meetings over the years, and state and federal level meetings, 628 00:32:13,760 --> 00:32:16,080 Speaker 1: and uh, I don't know if I've ever seen anybody 629 00:32:16,120 --> 00:32:18,880 Speaker 1: from the auto industry sitting at that table with them, 630 00:32:19,040 --> 00:32:21,240 Speaker 1: and you know, they're often talked about as being there, 631 00:32:21,600 --> 00:32:24,040 Speaker 1: but the reality of it is, you know, the insurance industries, 632 00:32:24,080 --> 00:32:26,000 Speaker 1: they're not losing money when we hit dear. You know, 633 00:32:26,200 --> 00:32:28,400 Speaker 1: our rates that we pay for all the insurance goes 634 00:32:28,520 --> 00:32:30,520 Speaker 1: up if you live in an area that has more 635 00:32:30,600 --> 00:32:33,640 Speaker 1: vehicle accidents. So I don't believe that that holds much 636 00:32:33,640 --> 00:32:36,680 Speaker 1: water at all. That's always talked about people say that, 637 00:32:36,720 --> 00:32:40,040 Speaker 1: but from my experience, I've just never seen it. Uh. Now, 638 00:32:40,080 --> 00:32:41,959 Speaker 1: the flip side of that, you know, how many how 639 00:32:42,040 --> 00:32:45,960 Speaker 1: much of this is being driven by hunter over harvest um. 640 00:32:46,080 --> 00:32:48,360 Speaker 1: You know, most states out there over the past decade 641 00:32:48,360 --> 00:32:51,560 Speaker 1: have been aggressively trying to reduce gears or at least 642 00:32:51,600 --> 00:32:54,640 Speaker 1: reduce them at some point during that decade. And uh 643 00:32:54,840 --> 00:32:57,480 Speaker 1: so that certainly plays into this um that's not that's 644 00:32:57,720 --> 00:32:59,480 Speaker 1: the fault of the D and R by any means. 645 00:32:59,800 --> 00:33:01,800 Speaker 1: You know, there was a time when guys, you almost 646 00:33:01,800 --> 00:33:05,320 Speaker 1: couldn't slow deer herds down, particularly in the productive Midwest. 647 00:33:05,560 --> 00:33:07,600 Speaker 1: You know, they were just cranking out so many fonds 648 00:33:07,640 --> 00:33:09,880 Speaker 1: and so many phons were surviving, and there's so much 649 00:33:09,880 --> 00:33:12,840 Speaker 1: food that man, you could sell everything you possibly could 650 00:33:12,880 --> 00:33:15,080 Speaker 1: at a deer herd, you know, and it would still grow. 651 00:33:15,640 --> 00:33:19,440 Speaker 1: But over the last few years, now, when you throw 652 00:33:19,480 --> 00:33:21,520 Speaker 1: that disease on it, you throw some bad winners on 653 00:33:21,560 --> 00:33:23,280 Speaker 1: it at the same time that you pull all the 654 00:33:23,360 --> 00:33:26,280 Speaker 1: habitat out from underneath the and you add more predators. 655 00:33:26,760 --> 00:33:28,320 Speaker 1: You know. I think it's just a mixture of all 656 00:33:28,360 --> 00:33:30,960 Speaker 1: of these factors hitting in a very short period of 657 00:33:31,000 --> 00:33:34,560 Speaker 1: time that suddenly changed the amount of harvest pressure we 658 00:33:34,560 --> 00:33:37,600 Speaker 1: could put on some of these deer herds. So, you know, 659 00:33:37,760 --> 00:33:41,880 Speaker 1: is it it's hunter harvest plane into this absolutely? You know. 660 00:33:41,920 --> 00:33:44,480 Speaker 1: I think there's many cases there places that we need 661 00:33:44,480 --> 00:33:48,080 Speaker 1: to reduce the amount of animals we are taking. But 662 00:33:48,520 --> 00:33:50,440 Speaker 1: I'm not placing the blame on the d NRS with 663 00:33:50,520 --> 00:33:53,120 Speaker 1: these I think it's just a new day or new 664 00:33:53,160 --> 00:33:55,560 Speaker 1: era in deer management, you know, where the rules have 665 00:33:55,680 --> 00:33:57,520 Speaker 1: changed a little bit, so we just need to adapt 666 00:33:57,520 --> 00:34:02,000 Speaker 1: to those. So on that, I guess right along those 667 00:34:02,000 --> 00:34:05,080 Speaker 1: lines of that point you made there, would you say it, 668 00:34:05,240 --> 00:34:08,040 Speaker 1: is it safe to say that for many hunters across 669 00:34:08,040 --> 00:34:14,279 Speaker 1: the country it's time to start adapting to a new normal. Absolutely, 670 00:34:14,440 --> 00:34:17,719 Speaker 1: or at least, um get a little more involved with 671 00:34:17,760 --> 00:34:21,279 Speaker 1: what is happening such that we can improve you know, 672 00:34:21,360 --> 00:34:23,040 Speaker 1: if you ever live, if you're hunting in a poor 673 00:34:23,040 --> 00:34:26,320 Speaker 1: situation right now. But but yes, I think it clearly 674 00:34:26,400 --> 00:34:29,120 Speaker 1: as a new normal with what's going on, especially as 675 00:34:29,400 --> 00:34:33,000 Speaker 1: with regard to uh the amount of antilist deer that 676 00:34:33,040 --> 00:34:36,959 Speaker 1: we need to remove not to stabilize deer herds. So 677 00:34:37,360 --> 00:34:39,799 Speaker 1: on this topic, then let's it sounds like we need 678 00:34:39,840 --> 00:34:42,000 Speaker 1: to be more involved. We need to, you know, pay 679 00:34:42,040 --> 00:34:44,360 Speaker 1: more attention to what's happening in our localized herds. And 680 00:34:44,560 --> 00:34:46,680 Speaker 1: from everything I've gathered from talking different people out this 681 00:34:46,719 --> 00:34:50,480 Speaker 1: topic too, you know, it just seems like, um, more 682 00:34:50,520 --> 00:34:53,560 Speaker 1: of the responsibility is going to be shifting to the 683 00:34:53,640 --> 00:34:56,440 Speaker 1: hunter on the ground. Or the land manager to make 684 00:34:56,480 --> 00:34:59,960 Speaker 1: sure that we personally are managing our local deer herd 685 00:35:00,000 --> 00:35:02,879 Speaker 1: as best as possible given all these different factors now 686 00:35:02,880 --> 00:35:05,320 Speaker 1: that are coming into play that are localized in many cases. 687 00:35:05,320 --> 00:35:07,759 Speaker 1: So you know, for example, maybe e h D hit 688 00:35:07,760 --> 00:35:10,320 Speaker 1: really bad in my area. Well, now I need to 689 00:35:10,360 --> 00:35:13,480 Speaker 1: start making some decisions, decisions from management perspective about what's 690 00:35:13,480 --> 00:35:16,600 Speaker 1: the right thing for this herd. Um And you know, 691 00:35:16,600 --> 00:35:18,600 Speaker 1: the state Game Agency might not be able to tell 692 00:35:18,640 --> 00:35:20,440 Speaker 1: me what to do on my you know, local forty 693 00:35:20,440 --> 00:35:23,719 Speaker 1: here because they don't know that's going on. So my 694 00:35:23,800 --> 00:35:26,399 Speaker 1: question for you, Kip is and I think I think 695 00:35:26,440 --> 00:35:27,920 Speaker 1: I know some of the answers here, but I'm curious 696 00:35:27,960 --> 00:35:30,800 Speaker 1: to hear from your perspective, how can the average hunter 697 00:35:31,400 --> 00:35:35,680 Speaker 1: better understand on their in their local area what the 698 00:35:35,880 --> 00:35:38,560 Speaker 1: right number of deer to kill is or what the 699 00:35:38,719 --> 00:35:40,880 Speaker 1: right ratio of does to bucks should be. How can 700 00:35:40,880 --> 00:35:44,240 Speaker 1: they start making these decisions better? I think by collecting 701 00:35:44,239 --> 00:35:46,640 Speaker 1: a little bit of of of data from you know, 702 00:35:46,680 --> 00:35:48,799 Speaker 1: the place that they either own or that they hunt on. 703 00:35:49,960 --> 00:35:52,239 Speaker 1: You know, we have a tremendous opportunity to do that 704 00:35:52,280 --> 00:35:54,759 Speaker 1: today with the trail cameras, you know, almost everybody has 705 00:35:54,800 --> 00:35:57,759 Speaker 1: trail cameras, so you can collect some information just on 706 00:35:58,040 --> 00:36:00,120 Speaker 1: you know, the number of dose that you're seeing, I'm 707 00:36:00,120 --> 00:36:01,880 Speaker 1: gonna sorry, the number of fonds you're seeing in regard 708 00:36:01,880 --> 00:36:04,600 Speaker 1: to the number of those, um to, the best ways 709 00:36:04,680 --> 00:36:07,319 Speaker 1: are to do trail camera run track cameras, but as well, 710 00:36:07,320 --> 00:36:09,839 Speaker 1: it's just observations for a base while you're hunting. Keep 711 00:36:09,880 --> 00:36:12,480 Speaker 1: tracking each day you go hunting and how many hours 712 00:36:12,480 --> 00:36:14,600 Speaker 1: you hunt and mark down a number of bucks and 713 00:36:14,680 --> 00:36:17,040 Speaker 1: does and fonds that you see, and uh, you know, 714 00:36:17,080 --> 00:36:19,760 Speaker 1: and compare that over time. You know, are you seeing 715 00:36:19,840 --> 00:36:22,760 Speaker 1: more bonds per dough this year than in the past. 716 00:36:23,080 --> 00:36:24,759 Speaker 1: You know, if that's the case, that's a very good thing, 717 00:36:24,840 --> 00:36:27,879 Speaker 1: you know. Um Conversely, if you're seeing few reponds per 718 00:36:27,920 --> 00:36:30,719 Speaker 1: doe year after year after year, that's the potential red 719 00:36:30,719 --> 00:36:32,640 Speaker 1: flag that hey, something's going on. You know, we're not 720 00:36:32,719 --> 00:36:35,319 Speaker 1: recruiting as many deers in the past, so that's the 721 00:36:35,360 --> 00:36:37,440 Speaker 1: first sign that, you know, what, we can't shoot as 722 00:36:37,440 --> 00:36:40,840 Speaker 1: many deer as we had in the past. So uh So, 723 00:36:40,960 --> 00:36:43,399 Speaker 1: you're absolutely right. The average hunter can take a much 724 00:36:43,440 --> 00:36:46,960 Speaker 1: more engaged role in what's going on, regardless of what 725 00:36:47,080 --> 00:36:49,279 Speaker 1: the bag limit is or the agencies, tell us we 726 00:36:49,320 --> 00:36:52,879 Speaker 1: can shoot, you know, we can tailor our current situations 727 00:36:52,920 --> 00:36:54,560 Speaker 1: out to the number of deer that we're going to shoot, 728 00:36:54,640 --> 00:36:57,320 Speaker 1: or allow others to shoot, you know, on our property, 729 00:36:57,480 --> 00:37:01,000 Speaker 1: or talk to those ones around us. So so that's 730 00:37:01,000 --> 00:37:04,200 Speaker 1: an absolutely perfect way four hunters to get involved in 731 00:37:04,280 --> 00:37:06,320 Speaker 1: Along those lines, they all should get involved with the 732 00:37:06,400 --> 00:37:09,240 Speaker 1: state wilife agency, you know, talk to their local biologists, 733 00:37:09,400 --> 00:37:11,879 Speaker 1: get involved with the d n R s because more 734 00:37:11,960 --> 00:37:15,080 Speaker 1: than ever, we need to be active and have open 735 00:37:15,120 --> 00:37:17,120 Speaker 1: lines of communication, you know, with the d n R 736 00:37:17,239 --> 00:37:19,399 Speaker 1: to say, hey, here's what we're seeing, here's what's going on. 737 00:37:19,760 --> 00:37:22,719 Speaker 1: You know, tell us what you're seeing as well. Um. 738 00:37:22,800 --> 00:37:26,080 Speaker 1: One of the concerning things in doing Insuar's report, and 739 00:37:26,120 --> 00:37:28,520 Speaker 1: it's it's very disappointing, but it's one of the biggest 740 00:37:28,600 --> 00:37:31,000 Speaker 1: issues out there right now is that you know, we 741 00:37:31,040 --> 00:37:33,560 Speaker 1: asked wilife agencies, you know, to kind of rank the 742 00:37:33,600 --> 00:37:37,360 Speaker 1: top issues that they're dealing with or the impact deer management. 743 00:37:37,719 --> 00:37:40,640 Speaker 1: And you know, when we've asked similar things of hunters 744 00:37:40,719 --> 00:37:43,400 Speaker 1: and hunters say, right now, one of the biggest issues 745 00:37:43,440 --> 00:37:46,080 Speaker 1: out there are you know, there's just no deer, are 746 00:37:46,200 --> 00:37:49,000 Speaker 1: very few deer, you know, deer densities have really dropped. 747 00:37:49,440 --> 00:37:51,800 Speaker 1: And you ask that the Wilife ages that same question. 748 00:37:52,239 --> 00:37:54,640 Speaker 1: One of their top issues that they ranked was high 749 00:37:54,680 --> 00:37:57,880 Speaker 1: deer density, you know, too many deer. So when you 750 00:37:58,000 --> 00:38:02,680 Speaker 1: have you know, these two state keholders with completely different views, 751 00:38:03,040 --> 00:38:05,880 Speaker 1: you know, at polarized views of what is happening, that 752 00:38:05,960 --> 00:38:08,719 Speaker 1: doesn't make for for good uh, you know, solution to 753 00:38:08,719 --> 00:38:11,440 Speaker 1: these problems. So the only way to fix this is 754 00:38:11,480 --> 00:38:13,480 Speaker 1: to get the agencies and the hunters to sit down 755 00:38:13,520 --> 00:38:16,680 Speaker 1: and talk together to help each other, you know, share 756 00:38:16,800 --> 00:38:20,440 Speaker 1: views or see why they're coming from this um, because 757 00:38:20,440 --> 00:38:22,160 Speaker 1: otherwise you're just going to sit there, you know, and 758 00:38:22,239 --> 00:38:24,320 Speaker 1: knockheads and you know, we're not going to get anywhere. 759 00:38:24,480 --> 00:38:26,640 Speaker 1: And it does nobody any good for the agencies to 760 00:38:26,680 --> 00:38:29,600 Speaker 1: say there's more deer than we need. For the hunters 761 00:38:29,600 --> 00:38:31,440 Speaker 1: to say, you know, that's b s you. No, I'm 762 00:38:31,480 --> 00:38:34,440 Speaker 1: not seeing anything, and then you just lose credibility and 763 00:38:34,440 --> 00:38:36,960 Speaker 1: you lose that relationship. Then at all falls apart, and 764 00:38:36,960 --> 00:38:39,839 Speaker 1: then that certainly doesn't help anybody. Yeah, I mean this, 765 00:38:40,239 --> 00:38:43,040 Speaker 1: it blows my mind that that's you know, that's happening. 766 00:38:43,120 --> 00:38:45,719 Speaker 1: And you know a specific instance where I think this 767 00:38:45,800 --> 00:38:47,800 Speaker 1: is happening right now to a degree, and I'm curious 768 00:38:47,800 --> 00:38:49,959 Speaker 1: about your perspective and if you've followed this at all, 769 00:38:50,520 --> 00:38:53,480 Speaker 1: is what's happening right now in Ohio. I don't know 770 00:38:53,480 --> 00:38:55,280 Speaker 1: if you've if you've seen some of the recent stories 771 00:38:55,280 --> 00:38:57,080 Speaker 1: coming out of here, but there's been a series of 772 00:38:57,200 --> 00:38:59,760 Speaker 1: meetings where some of the agency reps have been sitting 773 00:38:59,760 --> 00:39:02,600 Speaker 1: down hunters and hunters sharing their feedback and others. And 774 00:39:02,640 --> 00:39:04,560 Speaker 1: there seems to be a lot of contention here about 775 00:39:05,120 --> 00:39:09,400 Speaker 1: the agency's goals of the deer population and what hunters 776 00:39:09,400 --> 00:39:11,239 Speaker 1: think is the right goal to have there. Do you 777 00:39:11,280 --> 00:39:14,239 Speaker 1: have any insight into that specific situation. Yeah, I do, 778 00:39:14,480 --> 00:39:16,800 Speaker 1: and I've been found that very closely as well, because 779 00:39:17,400 --> 00:39:21,320 Speaker 1: you know, historically Ohio has had a very very successful 780 00:39:21,360 --> 00:39:24,200 Speaker 1: deer management program. UM. They have done a great job 781 00:39:24,280 --> 00:39:28,120 Speaker 1: with numbers of deer and age structure that deer heard. UM. 782 00:39:28,239 --> 00:39:30,359 Speaker 1: Obviously a very productive states, so the deer herd has 783 00:39:30,360 --> 00:39:32,640 Speaker 1: been growing, you know, over the last few decades, so 784 00:39:32,680 --> 00:39:35,920 Speaker 1: they have been trying to reduce something like many other states. UM. 785 00:39:36,000 --> 00:39:38,319 Speaker 1: One thing in Ohio was done differently than many of though, 786 00:39:38,360 --> 00:39:40,719 Speaker 1: is that they have the agency has always been out 787 00:39:40,760 --> 00:39:44,000 Speaker 1: in front with the hunters um like Talkovic, who is 788 00:39:44,040 --> 00:39:47,880 Speaker 1: their dear biologists, you know, is a very knowledgeable dear biologists. 789 00:39:47,880 --> 00:39:49,840 Speaker 1: But one of the things that makes them so successful, 790 00:39:49,920 --> 00:39:53,120 Speaker 1: let's he has always valued what the hunter said. You know, 791 00:39:53,160 --> 00:39:55,160 Speaker 1: it's always been out meeting with the public and meeting 792 00:39:55,200 --> 00:39:59,080 Speaker 1: with hunters and listening and sharing information. So because of that, 793 00:39:59,120 --> 00:40:01,560 Speaker 1: you know, they've always had pretty good hunter support or 794 00:40:01,560 --> 00:40:04,000 Speaker 1: what the agency has been trying to do, and they've 795 00:40:04,000 --> 00:40:07,640 Speaker 1: been very successful at implementing new programs and new strategies, 796 00:40:07,840 --> 00:40:10,680 Speaker 1: you know, to keep that successful. So here, over the 797 00:40:10,719 --> 00:40:12,840 Speaker 1: last couple of years, all of a sudden, you know, 798 00:40:12,840 --> 00:40:15,759 Speaker 1: they're killing fewer deer there too, and some hunters are 799 00:40:15,800 --> 00:40:18,440 Speaker 1: are upset, and you know, I understand that as hunters, 800 00:40:18,480 --> 00:40:20,719 Speaker 1: we tend to get upset when things aren't as good 801 00:40:20,760 --> 00:40:23,080 Speaker 1: as we feel they should be. Thought, what's been happening 802 00:40:23,080 --> 00:40:25,360 Speaker 1: here over the last two or three weeks has really 803 00:40:25,400 --> 00:40:28,520 Speaker 1: surprised me. You know, Mike has really come under attack 804 00:40:28,680 --> 00:40:31,880 Speaker 1: by some folks and uh, you know that that just 805 00:40:31,920 --> 00:40:34,480 Speaker 1: has not been that common in the past because of 806 00:40:34,480 --> 00:40:37,160 Speaker 1: the relationship the Ohio DNR has had with hunters, So 807 00:40:37,480 --> 00:40:40,160 Speaker 1: so that that's pretty strange that, right, now, and certainly 808 00:40:40,160 --> 00:40:44,440 Speaker 1: a strange situation for that d NR to be in interesting. So, 809 00:40:45,840 --> 00:40:48,640 Speaker 1: when one side of the table says there's too many 810 00:40:48,719 --> 00:40:51,080 Speaker 1: deer and the other side of the table says there's 811 00:40:51,120 --> 00:40:55,800 Speaker 1: not enough deer, are both sides of the table bringing 812 00:40:55,840 --> 00:41:00,600 Speaker 1: statistics that show you know, you know, hey there aren't 813 00:41:00,600 --> 00:41:04,200 Speaker 1: too many deer, or hey, there's not enough deer. Now. 814 00:41:04,239 --> 00:41:07,239 Speaker 1: Typically there's one side is bringing data and and the 815 00:41:07,239 --> 00:41:10,799 Speaker 1: other side is just bringing personal observations. Um. You know, 816 00:41:10,800 --> 00:41:14,799 Speaker 1: the agencies typically have data, harvest data, et cetera to 817 00:41:14,800 --> 00:41:18,439 Speaker 1: to show what is going on. UM, hunters bring their 818 00:41:18,480 --> 00:41:21,799 Speaker 1: personal views of what they saw or didn't see and uh, 819 00:41:21,840 --> 00:41:24,919 Speaker 1: and so you're not always comparing apples to apples. Now. 820 00:41:24,960 --> 00:41:27,200 Speaker 1: The one of the things that makes that conversation difficult 821 00:41:27,280 --> 00:41:31,120 Speaker 1: is that wildlife agencies are state agencies manage at you know, 822 00:41:31,160 --> 00:41:34,279 Speaker 1: a deer unit or a wildlife management unit level, you know, 823 00:41:34,360 --> 00:41:37,960 Speaker 1: whether it's a county or a group of counties or whatever. UM. 824 00:41:38,000 --> 00:41:40,160 Speaker 1: But as hunters, we don't hunt at the unit level. 825 00:41:40,200 --> 00:41:42,840 Speaker 1: You know, we hunt at the property level. So within 826 00:41:42,960 --> 00:41:46,120 Speaker 1: any given wildlife management unit, you have some deer herds 827 00:41:46,120 --> 00:41:48,840 Speaker 1: that are well above with the habitat can support others 828 00:41:48,840 --> 00:41:50,680 Speaker 1: that are well below it, and you know, some of 829 00:41:50,719 --> 00:41:53,600 Speaker 1: that are in balance with it. But so with any unit, 830 00:41:53,680 --> 00:41:55,759 Speaker 1: you know, you can find hunters that agree with what 831 00:41:55,880 --> 00:41:59,600 Speaker 1: the agency says. Unfortunately, you know, also within every unit, 832 00:41:59,680 --> 00:42:01,680 Speaker 1: you all still have hunters to say, you know, that 833 00:42:01,719 --> 00:42:04,160 Speaker 1: they're just mad as heck because there's more deer and 834 00:42:04,160 --> 00:42:06,879 Speaker 1: they're eating all their crops or their trees or their gardens. 835 00:42:06,960 --> 00:42:09,799 Speaker 1: And hunters that have very few deer where they're hunting, 836 00:42:09,840 --> 00:42:12,759 Speaker 1: so they're mad. So you know, that's the biggest discrepancy 837 00:42:12,800 --> 00:42:15,640 Speaker 1: there is just the unit where the size of the 838 00:42:15,719 --> 00:42:19,479 Speaker 1: unit that you're talking about in regard to numbers of deer, 839 00:42:19,840 --> 00:42:21,920 Speaker 1: and you know, and as hunters we often forget that, 840 00:42:21,960 --> 00:42:25,319 Speaker 1: you know, when agencies cannot manage to the property level um. 841 00:42:25,400 --> 00:42:27,719 Speaker 1: But as agencies, we often forget the same you know, 842 00:42:27,840 --> 00:42:31,160 Speaker 1: that that hunters don't realize or at least agencies don't 843 00:42:31,200 --> 00:42:33,120 Speaker 1: do as good a job as they could, you know, 844 00:42:33,280 --> 00:42:35,960 Speaker 1: explaining to hunters, hey, here's what we're seeing at the 845 00:42:36,040 --> 00:42:38,799 Speaker 1: unit level. You know, we understand you may not be 846 00:42:38,840 --> 00:42:41,040 Speaker 1: seeing deer, and you know, we feel bad about that, 847 00:42:41,480 --> 00:42:45,200 Speaker 1: but let's at least try to understand, uh, what exactly 848 00:42:45,239 --> 00:42:48,160 Speaker 1: we're talking about so that we can have productive solutions. 849 00:42:48,200 --> 00:42:51,239 Speaker 1: And uh, you know, unfortunately agencies can beat up a 850 00:42:51,239 --> 00:42:54,200 Speaker 1: bunch and I understand that. So we have too few 851 00:42:54,320 --> 00:42:57,759 Speaker 1: agencies members today that are very good at listening to 852 00:42:57,800 --> 00:42:59,759 Speaker 1: the hunters and really listening to them. I'm not talking 853 00:42:59,760 --> 00:43:01,799 Speaker 1: about just sitting there and letting the hunters say the piece, 854 00:43:01,880 --> 00:43:04,319 Speaker 1: but you know, really listening to what they're saying and 855 00:43:04,320 --> 00:43:07,520 Speaker 1: then try to have a productive conversation. And as hunters, 856 00:43:07,560 --> 00:43:09,359 Speaker 1: you know, we make it easy for them to tune 857 00:43:09,400 --> 00:43:11,719 Speaker 1: us out because there's a lot of hunters that just 858 00:43:12,200 --> 00:43:15,280 Speaker 1: whine and cry um when they're really not doing anything 859 00:43:15,280 --> 00:43:17,759 Speaker 1: on their own part to try to make the solution better. So, 860 00:43:18,360 --> 00:43:19,799 Speaker 1: you know, I think the way we need to fix 861 00:43:19,840 --> 00:43:21,919 Speaker 1: it is to draw a line the same as they are. Right, 862 00:43:22,160 --> 00:43:24,840 Speaker 1: Let's just start all over here. Let's sit down together, 863 00:43:24,920 --> 00:43:27,840 Speaker 1: you know, and recognize that we both want to have healthy, 864 00:43:27,960 --> 00:43:31,000 Speaker 1: productive deer herds, and let's work together to make that happen. 865 00:43:32,440 --> 00:43:36,080 Speaker 1: It definitely does seem like there's a serious communication just 866 00:43:36,280 --> 00:43:39,640 Speaker 1: issue across the board in love cases and when you 867 00:43:39,640 --> 00:43:41,879 Speaker 1: you know, you just laid out there what this great 868 00:43:42,000 --> 00:43:44,160 Speaker 1: scenario could be if we could sit down, start from 869 00:43:44,200 --> 00:43:47,719 Speaker 1: ground zero and start, you know, talking from both sides 870 00:43:47,760 --> 00:43:51,920 Speaker 1: and understanding each other. I'm curious, is that something that 871 00:43:51,960 --> 00:43:55,120 Speaker 1: can realistically happen or is that realistically happening anywhere? Have 872 00:43:55,160 --> 00:43:57,319 Speaker 1: you seen any really good examples of a state and 873 00:43:57,320 --> 00:44:01,160 Speaker 1: a hunter population has been able to develop that relationship it, Yeah, 874 00:44:01,200 --> 00:44:04,720 Speaker 1: I have seen it, and and actually I've seen numerous occasions. Uh, 875 00:44:04,880 --> 00:44:07,840 Speaker 1: you end up with states that really involved the public, 876 00:44:07,880 --> 00:44:10,760 Speaker 1: and Ohio historically has been one of those. The Missouri 877 00:44:10,920 --> 00:44:12,839 Speaker 1: is one of those in the Midwest, and there are 878 00:44:12,880 --> 00:44:15,239 Speaker 1: others as well. You know, they bring hunters in to 879 00:44:15,320 --> 00:44:20,000 Speaker 1: be part of the stakeholder group um or deer management plans. 880 00:44:20,040 --> 00:44:23,759 Speaker 1: So yes, it's not uncommon. There are numerous states that 881 00:44:23,800 --> 00:44:26,640 Speaker 1: has done that, and h and has that has been 882 00:44:26,760 --> 00:44:29,440 Speaker 1: very successful. And the thing the hunters need to realize 883 00:44:29,440 --> 00:44:31,719 Speaker 1: that it's the perfect opportunity for us to go in 884 00:44:31,760 --> 00:44:35,440 Speaker 1: and be good partners, because the agencies certainly want us 885 00:44:35,440 --> 00:44:38,440 Speaker 1: to partner with them. You know, they really can't say this, 886 00:44:38,600 --> 00:44:40,640 Speaker 1: but you know, as much or more so than they 887 00:44:40,680 --> 00:44:43,440 Speaker 1: do the homeowners associations and the anti hunting groups and 888 00:44:43,480 --> 00:44:46,040 Speaker 1: all of those they have far more uncommon with hunters, 889 00:44:46,080 --> 00:44:48,160 Speaker 1: so they have a much better vested interest to sit 890 00:44:48,200 --> 00:44:50,319 Speaker 1: down and be good partners with us. So, you know, 891 00:44:50,360 --> 00:44:52,319 Speaker 1: so from the hunter end, it's the perfect time for 892 00:44:52,440 --> 00:44:54,880 Speaker 1: us to do that and to get engaged and uh, 893 00:44:55,080 --> 00:44:57,080 Speaker 1: and so anyway, it's a long way to answer your 894 00:44:57,120 --> 00:45:00,480 Speaker 1: question that yes, I absolutely have seen it work, and 895 00:45:00,480 --> 00:45:02,920 Speaker 1: I've seen it worked beautifully. Yeah. I think that's a 896 00:45:03,239 --> 00:45:06,279 Speaker 1: great point something I've seen to. Um. You know, as 897 00:45:06,280 --> 00:45:08,839 Speaker 1: I've been working closer with the National Deer Lines, I've 898 00:45:08,880 --> 00:45:11,360 Speaker 1: been you know, tracking all sorts of different news stories 899 00:45:11,440 --> 00:45:14,960 Speaker 1: related to deer across the country, and over and over again, 900 00:45:15,040 --> 00:45:18,160 Speaker 1: I am hearing about these different opportunities where the agencies 901 00:45:18,200 --> 00:45:21,400 Speaker 1: are sitting down with hunters for different meetings in Wisconsin 902 00:45:21,560 --> 00:45:24,919 Speaker 1: or Ohio or Missouri or all these different places. And 903 00:45:25,120 --> 00:45:28,520 Speaker 1: what I'm disappointed by, and I guess this is this 904 00:45:28,640 --> 00:45:31,640 Speaker 1: is just how you know people are, but that participation 905 00:45:31,760 --> 00:45:34,239 Speaker 1: is actually really low. You know, there's there's thousands of 906 00:45:34,320 --> 00:45:37,000 Speaker 1: hunters who complain are upset about the situation in their state. 907 00:45:37,160 --> 00:45:39,640 Speaker 1: And then I see all these different examples where there 908 00:45:39,680 --> 00:45:41,920 Speaker 1: is a meeting held to talk to people about it, 909 00:45:42,000 --> 00:45:45,680 Speaker 1: and you know, only twenty people show up. Um, and 910 00:45:45,719 --> 00:45:47,600 Speaker 1: I wonder if there's you know, to your point, Kip, 911 00:45:47,840 --> 00:45:51,239 Speaker 1: there's an obligation to us, the hunters, to participate and 912 00:45:51,280 --> 00:45:53,479 Speaker 1: to get engaged in these opportunities when they are there, 913 00:45:53,520 --> 00:45:55,879 Speaker 1: because hey, if if they're putting out there and we're 914 00:45:55,880 --> 00:45:58,520 Speaker 1: not engaging, well then we can only blame ourselves to 915 00:45:58,560 --> 00:46:01,960 Speaker 1: a degree for not taking advantage of the opportunity. Now 916 00:46:02,160 --> 00:46:04,239 Speaker 1: that's right. And uh, and you hit the nailor on 917 00:46:04,320 --> 00:46:06,680 Speaker 1: the head, you know, as when hunters, when things are good, 918 00:46:07,040 --> 00:46:09,600 Speaker 1: we tend to be complacent, you know, and not go 919 00:46:09,760 --> 00:46:11,840 Speaker 1: to meetings or not to get engaged with those things. 920 00:46:12,239 --> 00:46:14,520 Speaker 1: So um, yeah, you know, there's a lot of public 921 00:46:14,560 --> 00:46:17,719 Speaker 1: meetings and lots of public input opportunities that go by 922 00:46:17,719 --> 00:46:21,759 Speaker 1: the wayside. And it was very little public public input. Um. Now. 923 00:46:21,800 --> 00:46:23,160 Speaker 1: One of the things that we looked at this in 924 00:46:23,239 --> 00:46:25,640 Speaker 1: last year's wait until report wasn't were at the agencies 925 00:46:25,680 --> 00:46:28,480 Speaker 1: how they engage the public. And uh, you know, all 926 00:46:28,480 --> 00:46:30,680 Speaker 1: of them did public meetings and they took them other ways, 927 00:46:30,680 --> 00:46:33,520 Speaker 1: you know, but but very few states you know, engage 928 00:46:33,560 --> 00:46:36,360 Speaker 1: the public through social media, you know, and through some 929 00:46:36,440 --> 00:46:39,680 Speaker 1: other and more popular and more I guess the timely 930 00:46:39,920 --> 00:46:42,040 Speaker 1: way used to do that you know, and particularly for 931 00:46:42,120 --> 00:46:44,520 Speaker 1: youth hunters and or at least new hunters that are 932 00:46:44,600 --> 00:46:47,600 Speaker 1: very tech savvy, you know, that's how they get information today, 933 00:46:47,600 --> 00:46:49,719 Speaker 1: That's how they want to be engaged, and that's why 934 00:46:49,719 --> 00:46:52,640 Speaker 1: ACT may we provide information in those manners? You know, 935 00:46:52,719 --> 00:46:55,560 Speaker 1: I think the agencies would serve themselves well to also 936 00:46:55,800 --> 00:46:58,400 Speaker 1: take advantage of some more of those means to engage 937 00:46:58,440 --> 00:47:00,160 Speaker 1: the public. You know, I think that you would get 938 00:47:00,160 --> 00:47:02,120 Speaker 1: better engagement at least I would hope that you would. 939 00:47:02,600 --> 00:47:05,160 Speaker 1: And uh, but from the hunter side, they absolutely need 940 00:47:05,160 --> 00:47:10,880 Speaker 1: to take opportunities to get engaged rather than just complaint. Yeah, yeah, absolutely. 941 00:47:11,640 --> 00:47:14,160 Speaker 1: I'd like to shift now to another one of the 942 00:47:14,239 --> 00:47:17,439 Speaker 1: challenges UM. Again, there's a kind of a few hot 943 00:47:17,480 --> 00:47:19,200 Speaker 1: topics that I think a lot of people are talking about. 944 00:47:19,200 --> 00:47:22,360 Speaker 1: We've talked about, you know, possible over harvest or agency 945 00:47:22,400 --> 00:47:23,759 Speaker 1: issues or anything like that. That's when a lot of 946 00:47:23,800 --> 00:47:28,600 Speaker 1: people talk about UM. Another issue, as you mentioned briefly earlier, 947 00:47:29,320 --> 00:47:32,040 Speaker 1: is disease. Especially back in two thousand seven and two 948 00:47:32,080 --> 00:47:35,399 Speaker 1: thousand twelve we had the very large outbreaks of h D. 949 00:47:35,960 --> 00:47:37,520 Speaker 1: Can you talk to me a little bit, Kip about 950 00:47:37,680 --> 00:47:40,719 Speaker 1: you know, what's the do we have any idea is 951 00:47:40,719 --> 00:47:42,839 Speaker 1: that something that's going to continue to be an issue? Um, 952 00:47:42,880 --> 00:47:46,239 Speaker 1: is there any reason to be continually concerned about diseases 953 00:47:46,280 --> 00:47:49,000 Speaker 1: like HD or c W D. Um, you know what's 954 00:47:49,040 --> 00:47:50,759 Speaker 1: your thoughts and how that's going to be affecting white 955 00:47:50,760 --> 00:47:54,439 Speaker 1: tails moving forward? Well, well, hymerratic disease is the most 956 00:47:54,480 --> 00:47:57,880 Speaker 1: common disease of white tail deer and you know, somewhere 957 00:47:57,880 --> 00:48:01,839 Speaker 1: in the US and breaks out are beer and dear impacted. Um, 958 00:48:02,200 --> 00:48:05,040 Speaker 1: the share was very easy. Virginia is one of the 959 00:48:05,120 --> 00:48:09,160 Speaker 1: only states that had any hemorrhages of east mortality this year. 960 00:48:09,239 --> 00:48:11,280 Speaker 1: But but that is going to continue. You know, there's 961 00:48:11,320 --> 00:48:14,360 Speaker 1: nothing that we can do about that. It's carried by insects. 962 00:48:14,400 --> 00:48:17,080 Speaker 1: You know, it's worse than hot, dry years, but that's 963 00:48:17,120 --> 00:48:21,839 Speaker 1: always going to occur. And uh, it's occurring more, um, 964 00:48:22,080 --> 00:48:24,239 Speaker 1: more northerly than in the past. You know, it used 965 00:48:24,239 --> 00:48:27,000 Speaker 1: to be just the southern deer disease and UM, and 966 00:48:27,040 --> 00:48:29,520 Speaker 1: I bavidly remember even when I was in college, you know, 967 00:48:29,560 --> 00:48:32,640 Speaker 1: in the late eighties, which wasn't all that long ago. UM, 968 00:48:32,800 --> 00:48:35,360 Speaker 1: you know that was specifically talked about as a southern 969 00:48:35,360 --> 00:48:37,440 Speaker 1: deer disease, you know, and just just didn't occur in 970 00:48:37,480 --> 00:48:40,080 Speaker 1: the North. They're almost as ever, and but that's not 971 00:48:40,120 --> 00:48:42,520 Speaker 1: the case today. You know, it occurs you know, all 972 00:48:42,560 --> 00:48:44,880 Speaker 1: the way to Canada today and across the US, and 973 00:48:44,880 --> 00:48:47,400 Speaker 1: there are more strains and you know, in different strains, 974 00:48:47,440 --> 00:48:50,920 Speaker 1: and so yeah, so hemorrhagic disease is likely to going 975 00:48:50,960 --> 00:48:55,399 Speaker 1: to continue to increase. UM it's its effects in the future. UM, 976 00:48:55,480 --> 00:48:58,640 Speaker 1: whether it's related to climate change or whatever, I don't know, 977 00:48:58,719 --> 00:49:02,120 Speaker 1: but it's certainly expanded than this range um during the 978 00:49:02,120 --> 00:49:05,399 Speaker 1: past decade. So yes, that will continue to be an issue. UM. 979 00:49:05,440 --> 00:49:07,759 Speaker 1: The thing is, it's natural. It occurs all deer they 980 00:49:07,760 --> 00:49:11,480 Speaker 1: get it, don't necessarily die from it, so uh, you know, 981 00:49:11,600 --> 00:49:14,279 Speaker 1: and then they can pass some of that immunity on 982 00:49:14,440 --> 00:49:17,680 Speaker 1: to their offspring to help protect them from it. So 983 00:49:17,680 --> 00:49:20,239 Speaker 1: so you know, it's not a deal breaker by any means, 984 00:49:20,239 --> 00:49:22,960 Speaker 1: but it's something we will continue to deal with, UM 985 00:49:23,120 --> 00:49:25,719 Speaker 1: C w D. We definitely will continue to deal with 986 00:49:25,760 --> 00:49:28,240 Speaker 1: that because there's no way to to decontaminate a site 987 00:49:28,280 --> 00:49:31,560 Speaker 1: once it has the disease of the preon um that 988 00:49:31,600 --> 00:49:34,680 Speaker 1: dis these continues to spread into new states, into new 989 00:49:34,719 --> 00:49:38,880 Speaker 1: areas within states, you know, throughout deer herbs um. You know, 990 00:49:38,920 --> 00:49:41,839 Speaker 1: there's there's so much research going on about CWD right now, 991 00:49:41,880 --> 00:49:44,480 Speaker 1: but there's you know, there's way more that we don't 992 00:49:44,520 --> 00:49:47,319 Speaker 1: know about it than what we do, So that is 993 00:49:47,320 --> 00:49:50,080 Speaker 1: going to continue to be a huge issue, mostly because 994 00:49:50,320 --> 00:49:52,400 Speaker 1: every time a deer get that, they die. You know, 995 00:49:52,560 --> 00:49:56,719 Speaker 1: there's there's no cure, there's no vaccine. That's fatal. So 996 00:49:56,880 --> 00:50:01,000 Speaker 1: unfortunately with dear, you know, they can carry the disease 997 00:50:01,080 --> 00:50:04,480 Speaker 1: for several years in some cases without showing any signs 998 00:50:04,520 --> 00:50:08,480 Speaker 1: of it, but simultaneously spreading or shedding. I'm sorry, there's 999 00:50:08,520 --> 00:50:11,040 Speaker 1: the preons that other deer can come in contact with 1000 00:50:11,200 --> 00:50:14,520 Speaker 1: nning contracted disease. So uh, you know, we will I 1001 00:50:14,560 --> 00:50:16,239 Speaker 1: think we're only at the tip of the iceberg. Was 1002 00:50:16,280 --> 00:50:18,799 Speaker 1: what's going to happen with c w D, And you know, 1003 00:50:18,880 --> 00:50:21,959 Speaker 1: unfortunately hunters are being impacted, you know, across the white 1004 00:50:21,960 --> 00:50:25,960 Speaker 1: tails range. Now with that loss of privileges in areas 1005 00:50:26,000 --> 00:50:28,160 Speaker 1: that have c w D, lose the ability to to 1006 00:50:28,239 --> 00:50:32,200 Speaker 1: either bait or feed, or use minerals, debated camera surveys. 1007 00:50:32,880 --> 00:50:35,759 Speaker 1: You know, longer seasons. Deer season essentially as you know 1008 00:50:35,880 --> 00:50:38,319 Speaker 1: it is over, you know, because in most cases they 1009 00:50:38,320 --> 00:50:42,200 Speaker 1: try to dramatically reduce those deer herbs, sharp shooting programs, 1010 00:50:42,239 --> 00:50:44,360 Speaker 1: all kinds of other stuff you know that the negatively 1011 00:50:44,400 --> 00:50:46,920 Speaker 1: impact hunters. So there's there's gonna be a lot of 1012 00:50:46,920 --> 00:50:49,359 Speaker 1: new challenges the hunters are gonna have to deal with. Um, 1013 00:50:49,360 --> 00:50:52,200 Speaker 1: if you live in an area that has that disease. Yeah, 1014 00:50:52,360 --> 00:50:55,000 Speaker 1: it's a It's a scary thing when when you see 1015 00:50:55,040 --> 00:50:57,919 Speaker 1: these stories pop up, seems like once every week or two, 1016 00:50:58,360 --> 00:51:00,799 Speaker 1: another couple of deer found with c w D in 1017 00:51:00,840 --> 00:51:02,600 Speaker 1: this state or that state, And it just seems like 1018 00:51:02,640 --> 00:51:06,719 Speaker 1: slowly that continues to slowly snowball. And UM, like you said, 1019 00:51:06,760 --> 00:51:08,400 Speaker 1: I think we're still at that tip of the iceberg. 1020 00:51:08,480 --> 00:51:12,400 Speaker 1: But if ever we reach a tipping point, that's something 1021 00:51:12,440 --> 00:51:18,400 Speaker 1: that's that's pretty concerning. Absolutely, So keeping the good times rolling. 1022 00:51:18,400 --> 00:51:22,759 Speaker 1: Then how about how about predators? K How much of 1023 00:51:22,800 --> 00:51:25,200 Speaker 1: an issue do you believe the predator you know, the 1024 00:51:25,239 --> 00:51:29,000 Speaker 1: increase in predation across many states is Um, how big 1025 00:51:29,000 --> 00:51:31,399 Speaker 1: of an issue is that? And who are the culprits there? 1026 00:51:31,560 --> 00:51:34,719 Speaker 1: If there is a big issue, it certainly is a 1027 00:51:34,719 --> 00:51:37,279 Speaker 1: big issue, you know. And I will say this, so 1028 00:51:37,360 --> 00:51:39,000 Speaker 1: this kind of goes back to something we talked about 1029 00:51:39,000 --> 00:51:41,279 Speaker 1: earlier where the state agencies and the hunters are. On 1030 00:51:41,320 --> 00:51:45,080 Speaker 1: this hunters view, predation is a huge issue. UH. State 1031 00:51:45,120 --> 00:51:48,200 Speaker 1: agencies ranked very low as an issue would impact in 1032 00:51:48,200 --> 00:51:50,600 Speaker 1: their manager which really surprised me given all of the 1033 00:51:50,600 --> 00:51:54,000 Speaker 1: current research out there right now shown the negative impacts 1034 00:51:54,000 --> 00:51:57,360 Speaker 1: that the predators are having on fond survival UM. A 1035 00:51:57,440 --> 00:52:00,480 Speaker 1: personal opinion is that the predators are natural part environment. 1036 00:52:01,120 --> 00:52:03,239 Speaker 1: We're lucky to have them. It's good that we have them. 1037 00:52:03,560 --> 00:52:05,320 Speaker 1: But at the same time, they need to be managed, 1038 00:52:05,360 --> 00:52:08,440 Speaker 1: just like deer or anything else. And you know, in 1039 00:52:08,520 --> 00:52:10,640 Speaker 1: areas where we have too many, they should be you 1040 00:52:10,680 --> 00:52:13,800 Speaker 1: know reduced UM. Whether that's through you know, additional hunting 1041 00:52:13,800 --> 00:52:17,040 Speaker 1: seasons or additional trapping seasons or whatever. You know, it's 1042 00:52:17,040 --> 00:52:18,920 Speaker 1: just it's just part of the whole thing. And I 1043 00:52:19,000 --> 00:52:21,560 Speaker 1: think any wildlife management, you know, the key to being 1044 00:52:21,600 --> 00:52:24,680 Speaker 1: successful as to keep whether it's deer or bear or 1045 00:52:24,760 --> 00:52:27,640 Speaker 1: coyote or bob kat or whatever it is, these populations, 1046 00:52:27,640 --> 00:52:31,040 Speaker 1: you know, in line with what the habitat UH can support. 1047 00:52:31,239 --> 00:52:33,759 Speaker 1: So I think that we're in an area today where 1048 00:52:33,800 --> 00:52:37,920 Speaker 1: we're seeing expanding part of the populations UM, particularly coyotes 1049 00:52:37,920 --> 00:52:40,960 Speaker 1: in the southeast, where they haven't been for all that long, um, 1050 00:52:41,000 --> 00:52:43,560 Speaker 1: Dore haven't reacted to it yet, and there's lots of 1051 00:52:43,560 --> 00:52:46,840 Speaker 1: research showing your other counties are absolutely powder and fallen 1052 00:52:47,440 --> 00:52:49,640 Speaker 1: to the point you know where we have extremely low 1053 00:52:49,760 --> 00:52:53,560 Speaker 1: fond recruitmer rates, extremely extremely though. Um. We have lots 1054 00:52:53,560 --> 00:52:55,520 Speaker 1: of northern deer herds you know that have dealt with 1055 00:52:55,560 --> 00:52:57,880 Speaker 1: counties for a long time. Um, But we have some 1056 00:52:58,000 --> 00:53:00,759 Speaker 1: northern herds now that are dealing with expanding populations and 1057 00:53:00,840 --> 00:53:03,400 Speaker 1: bears and anyone, bears are very good at eating falls 1058 00:53:03,400 --> 00:53:05,839 Speaker 1: in the spring. We have some rowland deer herds dealing 1059 00:53:05,880 --> 00:53:08,160 Speaker 1: with rolls, and obviously wolves are very good at a 1060 00:53:08,280 --> 00:53:11,279 Speaker 1: killing deer. So as hunters, I think this is just 1061 00:53:11,440 --> 00:53:14,400 Speaker 1: part of the new normal where hey, we have something 1062 00:53:14,400 --> 00:53:17,239 Speaker 1: else after that's removing some of our deer. So the 1063 00:53:17,320 --> 00:53:19,400 Speaker 1: number of analysts that we need to take during the 1064 00:53:19,480 --> 00:53:22,120 Speaker 1: hunting season needs to be left to accommodate for some 1065 00:53:22,160 --> 00:53:24,520 Speaker 1: of this, sir. But at the same time, you though 1066 00:53:24,520 --> 00:53:27,120 Speaker 1: there is where predators are more than they should be 1067 00:53:27,239 --> 00:53:29,040 Speaker 1: or are too high, you know, I think it's our 1068 00:53:29,120 --> 00:53:32,160 Speaker 1: duty to to reduce some of those to acceptable levels 1069 00:53:32,160 --> 00:53:34,719 Speaker 1: so that you have healthy predator populations as well. As 1070 00:53:34,719 --> 00:53:37,840 Speaker 1: heavy or healthy prey population. So I think we just 1071 00:53:37,840 --> 00:53:42,279 Speaker 1: need to find that balance. Yeah, when it comes you 1072 00:53:42,360 --> 00:53:49,120 Speaker 1: use the word balance, and I can't help but to 1073 00:53:49,239 --> 00:53:54,799 Speaker 1: think that humans have gotten in the way of nature. So, 1074 00:53:56,000 --> 00:53:59,680 Speaker 1: you know, correct me if I'm wrong, because that's I'm 1075 00:53:59,760 --> 00:54:05,279 Speaker 1: good it, you know, jumping to conclusions. But Iowa introduced 1076 00:54:05,719 --> 00:54:10,239 Speaker 1: deer to the state from Michigan, I believe, like in 1077 00:54:10,239 --> 00:54:14,080 Speaker 1: the seventies or eighties, is that correct. I'm not sure 1078 00:54:14,160 --> 00:54:16,920 Speaker 1: what when they did. The most states restocked deer from 1079 00:54:16,920 --> 00:54:20,200 Speaker 1: from some other state, you know, during the n I 1080 00:54:20,239 --> 00:54:23,400 Speaker 1: don't know the exact dates that Iowa did or specifically 1081 00:54:23,440 --> 00:54:25,640 Speaker 1: where they came from, but but it's it's safe to 1082 00:54:25,680 --> 00:54:28,040 Speaker 1: say that they did bring some in from somewhere, got 1083 00:54:28,160 --> 00:54:32,240 Speaker 1: you so. So so now what we've done is we've 1084 00:54:32,560 --> 00:54:36,439 Speaker 1: brought in something that may or may not have been 1085 00:54:36,560 --> 00:54:40,520 Speaker 1: to the area a long time ago. I think the 1086 00:54:40,640 --> 00:54:45,240 Speaker 1: key point with reintroduced. Reintroduced deer have been across almost 1087 00:54:45,280 --> 00:54:48,279 Speaker 1: the entire North American content for thousands of years, but 1088 00:54:48,360 --> 00:54:50,920 Speaker 1: we just decimated them at one point to the point 1089 00:54:50,920 --> 00:54:55,120 Speaker 1: where we had to reintroduce. Right, So, how how much 1090 00:54:55,560 --> 00:54:58,600 Speaker 1: is whether or not we we brought it to an 1091 00:54:58,640 --> 00:55:02,200 Speaker 1: extinction level way back in the day, and then reintroduce 1092 00:55:02,360 --> 00:55:06,480 Speaker 1: these animals into this habitat um that may have not 1093 00:55:06,560 --> 00:55:09,640 Speaker 1: been the same that they were living in previously, and 1094 00:55:09,680 --> 00:55:13,280 Speaker 1: then now we're seeing an effect all the way until 1095 00:55:13,320 --> 00:55:19,399 Speaker 1: today that that is almost impossible to find a balancing act. 1096 00:55:20,760 --> 00:55:22,360 Speaker 1: Now I think that that we definitely can find a 1097 00:55:22,400 --> 00:55:24,880 Speaker 1: balance an act. They don't think it really matters. You know, 1098 00:55:24,960 --> 00:55:27,560 Speaker 1: where deer would have been brought there. You could bring 1099 00:55:27,600 --> 00:55:31,160 Speaker 1: deer from Texas there or Florida, put them in that environment. Uh, 1100 00:55:31,200 --> 00:55:32,640 Speaker 1: you know, in a pretty short period of time, they 1101 00:55:32,640 --> 00:55:35,640 Speaker 1: would do very well. Um, you know if given the 1102 00:55:35,719 --> 00:55:37,600 Speaker 1: habitat that they need, you know, you certainly have the 1103 00:55:37,640 --> 00:55:40,319 Speaker 1: food available through most of the year, so you know, 1104 00:55:40,360 --> 00:55:42,360 Speaker 1: give them cover, give them the habitat, you know, and 1105 00:55:42,400 --> 00:55:45,239 Speaker 1: they'll do well. They'll thrive in that. So you know, 1106 00:55:45,360 --> 00:55:48,360 Speaker 1: and you know, Iowa had some of the most productive 1107 00:55:48,400 --> 00:55:50,839 Speaker 1: habitat you know, on the face of the planet, and 1108 00:55:50,840 --> 00:55:52,560 Speaker 1: that's why I had, you know, a way too many 1109 00:55:52,600 --> 00:55:55,359 Speaker 1: deer for so many years. So you know, I think 1110 00:55:55,360 --> 00:55:57,160 Speaker 1: the balance there is just a matter of Okay, we're 1111 00:55:57,160 --> 00:56:00,319 Speaker 1: trying to reduce deer hers. They're doing that, and they 1112 00:56:00,360 --> 00:56:02,839 Speaker 1: were doing that at a rate that was working extremely 1113 00:56:02,880 --> 00:56:06,680 Speaker 1: well with all of the model data that the DNR had, 1114 00:56:07,960 --> 00:56:10,359 Speaker 1: until you throw in all of these other factors such 1115 00:56:10,400 --> 00:56:14,080 Speaker 1: as this huge loss of habitat, predators, disease, et cetera. 1116 00:56:14,280 --> 00:56:15,920 Speaker 1: So it just changes the model. So it takes a 1117 00:56:15,920 --> 00:56:17,799 Speaker 1: little bit of time to recalibrate it. And I just 1118 00:56:17,800 --> 00:56:20,800 Speaker 1: think we're just in that recalibration mode right now, where 1119 00:56:21,080 --> 00:56:22,799 Speaker 1: you know, the DNR will certainly get it right. They 1120 00:56:22,800 --> 00:56:25,360 Speaker 1: had some very small people there and some extremely talented 1121 00:56:25,400 --> 00:56:27,520 Speaker 1: dear biologists, you know, so they know how to do 1122 00:56:27,560 --> 00:56:30,040 Speaker 1: it's just a matter of using the most current data 1123 00:56:30,120 --> 00:56:32,440 Speaker 1: to do it. So so you know, I don't think 1124 00:56:32,480 --> 00:56:35,120 Speaker 1: I was dead in the water by any means. It's just, 1125 00:56:35,600 --> 00:56:37,520 Speaker 1: you know, things are a little different there now than 1126 00:56:37,520 --> 00:56:39,920 Speaker 1: they've been lately. Um, they certainly will get it right. 1127 00:56:40,160 --> 00:56:43,400 Speaker 1: And but seeing things like this where how far the 1128 00:56:43,520 --> 00:56:45,960 Speaker 1: harvest has dropped, you know, and listening to hunters, you know, 1129 00:56:46,040 --> 00:56:48,279 Speaker 1: that's just all part of the process. Okay, now we'll 1130 00:56:48,320 --> 00:56:51,319 Speaker 1: back off on rantlerst harvest. We'll solve this issue. We'll 1131 00:56:51,320 --> 00:56:53,319 Speaker 1: get you know, do what we can to to put 1132 00:56:53,320 --> 00:56:55,919 Speaker 1: some habitat back out there, and the man, I will 1133 00:56:55,920 --> 00:56:59,759 Speaker 1: will be rocking again. I'm completely confident. So with with 1134 00:56:59,840 --> 00:57:02,480 Speaker 1: the data that you're collecting in historical data, are are 1135 00:57:02,520 --> 00:57:06,520 Speaker 1: we seeing trends that could potentially help us prepare for 1136 00:57:06,560 --> 00:57:11,440 Speaker 1: the future. Oh? Absolutely absolutely, and particularly given that you know, 1137 00:57:11,440 --> 00:57:13,400 Speaker 1: it wasn't that long ago where we didn't think we 1138 00:57:13,400 --> 00:57:16,520 Speaker 1: could slow deer herds down. Now we've clearly shown hey 1139 00:57:16,600 --> 00:57:18,240 Speaker 1: we can you know, we know how to do this 1140 00:57:18,280 --> 00:57:20,320 Speaker 1: now or what it takes to get in front of 1141 00:57:20,320 --> 00:57:22,560 Speaker 1: those growth curves. So oh yeah, So this day is 1142 00:57:22,600 --> 00:57:25,680 Speaker 1: all very important for you know, average hunter, to the 1143 00:57:25,720 --> 00:57:29,520 Speaker 1: average landowner right up to the natural resource professionals who 1144 00:57:29,520 --> 00:57:32,120 Speaker 1: can use it within their state uh to uh to 1145 00:57:32,200 --> 00:57:35,400 Speaker 1: do you know there to be successful at reaching their goals. 1146 00:57:35,800 --> 00:57:39,680 Speaker 1: That's good. So we've talked to your about a lot 1147 00:57:39,720 --> 00:57:44,960 Speaker 1: of issues of concern, you know, habitat loss, disease, predation, 1148 00:57:45,400 --> 00:57:48,800 Speaker 1: possible over harvest. Um, there's plenty of things to be 1149 00:57:48,880 --> 00:57:52,960 Speaker 1: you know, potentially wary of and concerned about. We've touched 1150 00:57:52,960 --> 00:57:56,360 Speaker 1: on a handful of different adjustments that maybe we as 1151 00:57:56,400 --> 00:57:59,520 Speaker 1: hunters can make, or agencies can make, or someone else. 1152 00:58:00,080 --> 00:58:02,480 Speaker 1: I'm curious if you know, again we're looking at the 1153 00:58:02,520 --> 00:58:06,000 Speaker 1: thirty ft overview here. If you had to look at 1154 00:58:06,040 --> 00:58:10,400 Speaker 1: the overall state of white tails and the concerns facing them, 1155 00:58:10,440 --> 00:58:16,280 Speaker 1: and then choose two or three actionable next steps, like 1156 00:58:16,360 --> 00:58:19,040 Speaker 1: two or three potential solutions, what do you think those 1157 00:58:19,120 --> 00:58:23,800 Speaker 1: top steps should be from your perspective, I think, by 1158 00:58:23,880 --> 00:58:27,320 Speaker 1: far the top step is engagement of hunters by our 1159 00:58:27,320 --> 00:58:30,919 Speaker 1: state wildlife agencies. I'm getting our hunters and our state 1160 00:58:30,960 --> 00:58:33,720 Speaker 1: folks to sit down together to to get on the 1161 00:58:33,760 --> 00:58:36,280 Speaker 1: same page and to share information. I think we can 1162 00:58:36,320 --> 00:58:40,600 Speaker 1: solve any issue with the solid partnerships there. And conversely, 1163 00:58:40,800 --> 00:58:43,000 Speaker 1: I think we will fail miserably that everything we try 1164 00:58:43,040 --> 00:58:45,680 Speaker 1: to do if we don't work together. So I think 1165 00:58:45,720 --> 00:58:47,960 Speaker 1: that is by far the biggest thing that we need 1166 00:58:48,000 --> 00:58:49,960 Speaker 1: to do, and the beauty of it is that it's 1167 00:58:50,160 --> 00:58:56,320 Speaker 1: entirely accomplishable. Absolutely definitely today, especially with new social media 1168 00:58:56,320 --> 00:58:59,160 Speaker 1: in different ways to open those community communication lines even 1169 00:58:59,160 --> 00:59:07,240 Speaker 1: easier than before. Absolutely. Now here's the Here's the big one. Money. 1170 00:59:08,480 --> 00:59:15,560 Speaker 1: So reduced hunters means hunting companies aren't making money. UM 1171 00:59:15,680 --> 00:59:19,720 Speaker 1: Iowa has seen a decrease in UM over a ten 1172 00:59:19,800 --> 00:59:25,080 Speaker 1: year period in the state budget for d n R officers. UM. 1173 00:59:25,120 --> 00:59:29,520 Speaker 1: The influence some of these organizations have towards the you know, 1174 00:59:29,840 --> 00:59:33,240 Speaker 1: like you mentioned the non hunters, u the hunters, the 1175 00:59:33,320 --> 00:59:38,720 Speaker 1: agencies and whatnot. How much does money influence some of 1176 00:59:38,760 --> 00:59:43,120 Speaker 1: these decisions. Money is a huge driver of it, mostly 1177 00:59:43,160 --> 00:59:46,040 Speaker 1: because the vast majority of the states don't get any 1178 00:59:46,080 --> 00:59:50,040 Speaker 1: general fund money, which means that mostly well, if agencies 1179 00:59:50,080 --> 00:59:53,960 Speaker 1: are funded entirely by licensed revenues, you know, a hundred dollars, 1180 00:59:54,560 --> 00:59:57,320 Speaker 1: and then those are matched by pr funds you know, 1181 00:59:57,400 --> 01:00:00,080 Speaker 1: from the federal government on next sized tax for or 1182 01:00:00,120 --> 01:00:01,960 Speaker 1: hunting that stuff. So that's why we say, you know, 1183 01:00:02,040 --> 01:00:05,400 Speaker 1: the hunters drive the system, and they pay for all 1184 01:00:05,440 --> 01:00:08,360 Speaker 1: of our wildlife management programs, you know, all of the 1185 01:00:08,360 --> 01:00:11,120 Speaker 1: game species, all the non game species management. You know, 1186 01:00:11,160 --> 01:00:14,760 Speaker 1: that's almost all on the backs of game wildlife and 1187 01:00:14,800 --> 01:00:16,640 Speaker 1: you know the facts majority that comes right from the 1188 01:00:16,640 --> 01:00:20,040 Speaker 1: backs of deer. So so money plays a huge role 1189 01:00:20,080 --> 01:00:22,640 Speaker 1: in that. And as you get fewer hunters, that's fewer 1190 01:00:22,680 --> 01:00:27,080 Speaker 1: licensed dollars, which means there's less money for wildlife agency budgets. 1191 01:00:27,640 --> 01:00:30,520 Speaker 1: And that's also why things like CWD that take money 1192 01:00:30,640 --> 01:00:35,160 Speaker 1: away from good programs like hunter access programs or or 1193 01:00:35,240 --> 01:00:40,040 Speaker 1: buying land or research and funnels it into CWD surveillance 1194 01:00:40,040 --> 01:00:43,240 Speaker 1: and CWD monitoring that kills us as hunters. You know, 1195 01:00:43,240 --> 01:00:45,600 Speaker 1: we're starting with a small pool of money anyway and 1196 01:00:45,600 --> 01:00:48,280 Speaker 1: then taking it and putting it. You know, it's not 1197 01:00:48,320 --> 01:00:51,600 Speaker 1: unnecessarily because you have to monitor the disease, but it's 1198 01:00:51,640 --> 01:00:54,440 Speaker 1: just unfortunate that it has to be funneled into those areas. 1199 01:00:54,440 --> 01:00:56,880 Speaker 1: So so you have so money drives you know, all 1200 01:00:56,920 --> 01:00:59,480 Speaker 1: of this, and uh, you know, I don't think that 1201 01:00:59,520 --> 01:01:03,520 Speaker 1: you see have agencies out there making decisions specifically to 1202 01:01:03,720 --> 01:01:06,960 Speaker 1: increase money. You know, hey, let's sell more nonresident licenses, 1203 01:01:07,040 --> 01:01:08,840 Speaker 1: or let's sell more of this or that, you know, 1204 01:01:08,840 --> 01:01:11,920 Speaker 1: at the expense of the resource. Um. You know, I 1205 01:01:12,600 --> 01:01:14,680 Speaker 1: do not believe that's happening, or at least not happening 1206 01:01:14,680 --> 01:01:16,840 Speaker 1: at a very high level, you know, because those states 1207 01:01:16,840 --> 01:01:21,720 Speaker 1: are accountable for those, um but not they've never happened. 1208 01:01:21,720 --> 01:01:24,600 Speaker 1: But I don't think that's maybe the exception way more 1209 01:01:24,600 --> 01:01:27,960 Speaker 1: than the rule. So, but money certainly plays in, you know, 1210 01:01:28,080 --> 01:01:29,880 Speaker 1: to their line of thinking with a lot of stuff, 1211 01:01:29,880 --> 01:01:32,640 Speaker 1: because it has to. You know, they're not a business 1212 01:01:32,760 --> 01:01:35,160 Speaker 1: like you know we see on the street. And it's 1213 01:01:35,160 --> 01:01:37,640 Speaker 1: a good thing because most state wilife agencies would would 1214 01:01:37,640 --> 01:01:39,960 Speaker 1: be out of business very quickly if they had to run, 1215 01:01:40,600 --> 01:01:43,360 Speaker 1: you know, or operate like business. But the at least 1216 01:01:43,360 --> 01:01:45,280 Speaker 1: need to, you know, to use some of those principles. 1217 01:01:45,320 --> 01:01:49,080 Speaker 1: So so it's certainly money factors into that into the discussion, 1218 01:01:49,240 --> 01:01:54,120 Speaker 1: but it's not the driving factor in most cases. Interesting 1219 01:01:54,200 --> 01:01:57,480 Speaker 1: that makes makes all the sense in the world. So 1220 01:01:58,160 --> 01:01:59,920 Speaker 1: I do want to start wrapping this up here. We 1221 01:02:00,040 --> 01:02:01,960 Speaker 1: talked about a lot of different challenges. We've talked a 1222 01:02:02,080 --> 01:02:05,400 Speaker 1: lot about, you know, where things are now in comparison 1223 01:02:05,400 --> 01:02:08,200 Speaker 1: to where they were maybe ten years ago, and keep 1224 01:02:08,480 --> 01:02:12,480 Speaker 1: you know, as you know, I've been involved in this discussion, UM, 1225 01:02:12,520 --> 01:02:16,240 Speaker 1: and a part of this. But I'm curious, from your perspective, UM, 1226 01:02:16,360 --> 01:02:19,000 Speaker 1: can you tell us a little bit about the National 1227 01:02:19,080 --> 01:02:21,560 Speaker 1: Deer Alliance. I've talked about it a bit here already, 1228 01:02:21,680 --> 01:02:24,320 Speaker 1: but this was formed, you know, this past summer in 1229 01:02:24,400 --> 01:02:26,360 Speaker 1: response to a lot of these issues we've been talking 1230 01:02:26,360 --> 01:02:29,520 Speaker 1: about today. From your perspective, can you tell us and 1231 01:02:29,560 --> 01:02:31,480 Speaker 1: the listeners a little bit about, you know, how you 1232 01:02:31,480 --> 01:02:33,520 Speaker 1: think the National Deer Alliance is going to be working 1233 01:02:33,560 --> 01:02:37,360 Speaker 1: to address some of these things, and why is the 1234 01:02:37,480 --> 01:02:41,840 Speaker 1: n d A, you know, why has it been created. Absolutely, 1235 01:02:41,880 --> 01:02:44,440 Speaker 1: I am very optimistic about that. I think that's one 1236 01:02:44,440 --> 01:02:47,040 Speaker 1: of the bright spots on the horizon for deer hunters, 1237 01:02:47,600 --> 01:02:50,400 Speaker 1: mostly because you know, this has the opportunity to be 1238 01:02:50,480 --> 01:02:54,360 Speaker 1: the largest group of deer hunting advocates ever assembled, you know, 1239 01:02:54,440 --> 01:02:57,200 Speaker 1: black bar and then you know, in a world where 1240 01:02:57,480 --> 01:03:00,640 Speaker 1: science means less to wildlife management today than there as 1241 01:03:00,560 --> 01:03:03,760 Speaker 1: at any point during my career, because politics plays a 1242 01:03:03,800 --> 01:03:07,720 Speaker 1: far bigger role, deer hunters and state walife agencies more 1243 01:03:07,760 --> 01:03:12,160 Speaker 1: than ever need a strong advocate. UH and NBA can 1244 01:03:12,200 --> 01:03:15,160 Speaker 1: fill that. That's exactly what it's created to be. You know, 1245 01:03:15,240 --> 01:03:17,400 Speaker 1: less than one percent of hunters in the United States 1246 01:03:17,440 --> 01:03:20,400 Speaker 1: belonged to a national deer organization, less than one percent, 1247 01:03:20,920 --> 01:03:22,880 Speaker 1: you know, and partly because deer have just been so 1248 01:03:22,960 --> 01:03:25,920 Speaker 1: plentiful for so long, we've just taken for granted. You know, 1249 01:03:26,000 --> 01:03:29,320 Speaker 1: we haven't, we haven't combined our efforts to protect them. 1250 01:03:29,360 --> 01:03:31,280 Speaker 1: You know, you can take a look at turkey hunters 1251 01:03:31,320 --> 01:03:33,560 Speaker 1: or pheasan hunters, or duck hunters or elk hunters and 1252 01:03:33,920 --> 01:03:36,960 Speaker 1: anywhere between. You know, eight and of them belong to 1253 01:03:37,000 --> 01:03:39,640 Speaker 1: an organization. But last and one percent of deer hunters 1254 01:03:39,680 --> 01:03:42,240 Speaker 1: do well. The NBA is going to change that. You know, 1255 01:03:42,320 --> 01:03:46,640 Speaker 1: it's where you can put eight or more deer hunters together. 1256 01:03:46,960 --> 01:03:48,640 Speaker 1: If we do that, that would be well over a 1257 01:03:48,680 --> 01:03:51,560 Speaker 1: million deer hunters, and where I have an opportunity to 1258 01:03:51,560 --> 01:03:55,600 Speaker 1: get quick information to folks on advocacy issues like hey, 1259 01:03:55,760 --> 01:03:58,680 Speaker 1: we're trying to you know, lose Sunday hunting in your state, 1260 01:03:59,000 --> 01:04:01,400 Speaker 1: or they're trying to remove with this opportunity for hunters 1261 01:04:01,480 --> 01:04:04,080 Speaker 1: or hunters you know, rights are being infringed upon here. 1262 01:04:04,560 --> 01:04:06,280 Speaker 1: You know, think about how big of an impact we 1263 01:04:06,280 --> 01:04:09,160 Speaker 1: could have if we could get information in these hunters 1264 01:04:09,200 --> 01:04:11,800 Speaker 1: hands and very quickly, but said they could lead their 1265 01:04:11,800 --> 01:04:14,840 Speaker 1: state agencies or legislators know, hey I disagree with this, 1266 01:04:15,200 --> 01:04:18,640 Speaker 1: or conversely, hey I support this. So there has never 1267 01:04:18,680 --> 01:04:20,880 Speaker 1: been a movement for deer hunters like this in the past. 1268 01:04:21,280 --> 01:04:24,160 Speaker 1: So this is a very very positive thing. The fact 1269 01:04:24,200 --> 01:04:25,800 Speaker 1: that it's free to deer hunters, you know, it doesn't 1270 01:04:25,800 --> 01:04:27,960 Speaker 1: cost you anything to sign up, it's just a bonus, 1271 01:04:28,400 --> 01:04:31,080 Speaker 1: makes it that much easier. So a lot of these 1272 01:04:31,120 --> 01:04:34,080 Speaker 1: issues that we talked about where agencies aren't listening to hunters, 1273 01:04:34,240 --> 01:04:37,880 Speaker 1: or agencies are having to fight with politicians for bad 1274 01:04:38,200 --> 01:04:40,440 Speaker 1: wildlife laws are trying to put in place. You know, 1275 01:04:40,440 --> 01:04:43,120 Speaker 1: as hunters, we can solve almost all of this, and 1276 01:04:43,160 --> 01:04:45,240 Speaker 1: I think the NDA is the perfect vehicle to make 1277 01:04:45,280 --> 01:04:48,880 Speaker 1: that happen. Yeah. Uh, I would second everything you said there, 1278 01:04:49,080 --> 01:04:51,600 Speaker 1: and I'm really excited about what's happening there And and 1279 01:04:51,600 --> 01:04:54,360 Speaker 1: like you said, there's there's a lot of opportunity to 1280 01:04:54,360 --> 01:04:57,080 Speaker 1: to service a need that's really out there, specially given 1281 01:04:57,120 --> 01:04:59,520 Speaker 1: these things that are affecting deer and deer hunters across 1282 01:04:59,520 --> 01:05:02,440 Speaker 1: the country to day um. So you know, it's one 1283 01:05:02,440 --> 01:05:04,440 Speaker 1: of those things that you know, the National Deer Alliances 1284 01:05:04,480 --> 01:05:06,080 Speaker 1: is getting its feet underneath it. But I think there's 1285 01:05:06,080 --> 01:05:07,840 Speaker 1: some really exciting things to come in the future and 1286 01:05:07,840 --> 01:05:10,320 Speaker 1: I'm excited to personally to be involved in that, and 1287 01:05:10,360 --> 01:05:12,000 Speaker 1: I'm glad that people like you are helping out to 1288 01:05:12,160 --> 01:05:16,760 Speaker 1: kip Um. And speaking of exciting things to come, the 1289 01:05:16,960 --> 01:05:21,080 Speaker 1: North American Deer Summit is coming this spring, and that's 1290 01:05:21,120 --> 01:05:23,480 Speaker 1: something we haven't talked about here yet on the podcast, 1291 01:05:23,560 --> 01:05:25,880 Speaker 1: but I know some details are starting to emerge about 1292 01:05:25,920 --> 01:05:28,320 Speaker 1: that and you've been involved. Can you tell us a 1293 01:05:28,320 --> 01:05:30,880 Speaker 1: little bit about what the North American Deer Summit is 1294 01:05:30,960 --> 01:05:32,960 Speaker 1: and why people might want to you know, get involved 1295 01:05:32,960 --> 01:05:36,400 Speaker 1: with that. Sure. This past year, two thousand and fourteen, 1296 01:05:36,480 --> 01:05:39,959 Speaker 1: was the inaugural Dear Summit, and it's the first time 1297 01:05:40,040 --> 01:05:43,040 Speaker 1: that the deer stakeholders from a whole bunch of different 1298 01:05:43,040 --> 01:05:45,240 Speaker 1: groups sat down together. There was lots of times with 1299 01:05:45,360 --> 01:05:48,480 Speaker 1: state agencies me or hunters me or trade shows me, 1300 01:05:48,840 --> 01:05:50,680 Speaker 1: but there had never been a meeting where folks from 1301 01:05:50,720 --> 01:05:53,080 Speaker 1: all of these had sat down to really address these 1302 01:05:53,080 --> 01:05:56,320 Speaker 1: issues of deer hunting. So that was a very successful meeting. 1303 01:05:56,600 --> 01:05:58,720 Speaker 1: And what came out of that was the need to 1304 01:05:59,080 --> 01:06:02,320 Speaker 1: create an umbrella organization that could speak on behalf of 1305 01:06:02,360 --> 01:06:05,280 Speaker 1: all deer hunters, hence the National Deer Line. That's where 1306 01:06:05,320 --> 01:06:08,320 Speaker 1: that came from. So then they said, okay, this is 1307 01:06:08,360 --> 01:06:10,400 Speaker 1: great and they said, all right now. One of the 1308 01:06:10,440 --> 01:06:13,640 Speaker 1: things we did at that meeting was deterred identified the 1309 01:06:13,680 --> 01:06:17,880 Speaker 1: top ten issues impacting deer hunting to management. So we 1310 01:06:17,960 --> 01:06:20,480 Speaker 1: have those. But when we got down, attendee said, hey, 1311 01:06:20,560 --> 01:06:23,040 Speaker 1: we need another summit next year, which is the one 1312 01:06:23,080 --> 01:06:25,480 Speaker 1: that this year in two thousand and fifteen, you know, 1313 01:06:25,520 --> 01:06:28,240 Speaker 1: to address these issues. Say okay, let's get some specific 1314 01:06:28,280 --> 01:06:31,240 Speaker 1: action items. So that's really what this year's summit is about. 1315 01:06:31,320 --> 01:06:35,560 Speaker 1: So may six of the eighth in Louisville, Kentucky. We 1316 01:06:35,560 --> 01:06:37,480 Speaker 1: were going to be sitting down again with people from 1317 01:06:37,520 --> 01:06:40,160 Speaker 1: all these different stakeholder groups. And the cool thing about 1318 01:06:40,200 --> 01:06:42,520 Speaker 1: this year market that it's open to the public. Last 1319 01:06:42,560 --> 01:06:45,400 Speaker 1: year it was a very restricted attendee list because of 1320 01:06:45,440 --> 01:06:47,880 Speaker 1: the size of the facility we're at. We don't have 1321 01:06:47,920 --> 01:06:50,880 Speaker 1: those confinements this year, so anybody can come. They still 1322 01:06:50,880 --> 01:06:53,240 Speaker 1: will be divided into one of six or seven different 1323 01:06:53,240 --> 01:06:56,400 Speaker 1: stakeholder groups, and it's very interactive. They get to vote 1324 01:06:56,400 --> 01:06:58,440 Speaker 1: on what's happening, and what we're gonna do is we're 1325 01:06:58,440 --> 01:07:01,240 Speaker 1: gonna give them, hey, here the tenant shoes from last 1326 01:07:01,320 --> 01:07:04,120 Speaker 1: year that we identified as the biggest ones. Pick four 1327 01:07:04,160 --> 01:07:07,560 Speaker 1: of these that you want the NDA to specifically address 1328 01:07:07,720 --> 01:07:10,560 Speaker 1: first and move forward with coming up with specific action 1329 01:07:10,640 --> 01:07:12,560 Speaker 1: items that they can do to a head address them 1330 01:07:12,800 --> 01:07:15,560 Speaker 1: and to help solve them. So there's gonna be some 1331 01:07:15,600 --> 01:07:17,680 Speaker 1: prepared talks on some of the big issues that are 1332 01:07:17,680 --> 01:07:20,560 Speaker 1: going on, But a lot of this summit is interactive 1333 01:07:20,600 --> 01:07:22,680 Speaker 1: where you're not just gonna go and sit and kind 1334 01:07:22,720 --> 01:07:25,320 Speaker 1: of listen. You will be involved in the future of 1335 01:07:25,320 --> 01:07:28,040 Speaker 1: deer hunting. The management. You know, there's never been an 1336 01:07:28,040 --> 01:07:30,920 Speaker 1: opportunity for hunters to be more empowered on what's going 1337 01:07:30,960 --> 01:07:33,880 Speaker 1: to happen in the summer or the spring. So it's 1338 01:07:33,880 --> 01:07:36,840 Speaker 1: a great opportunity for folks to go have their say 1339 01:07:37,400 --> 01:07:39,520 Speaker 1: and you know, and have a big impact on what 1340 01:07:39,680 --> 01:07:41,479 Speaker 1: they get to hunt during the rest of their life, 1341 01:07:41,640 --> 01:07:43,280 Speaker 1: as well as what the kids get to hunt. So 1342 01:07:43,320 --> 01:07:46,840 Speaker 1: it's pretty exciting. Yeah, I'm I'm very excited about that too. 1343 01:07:47,000 --> 01:07:50,520 Speaker 1: And you know, I think to your point earlier about 1344 01:07:50,760 --> 01:07:52,320 Speaker 1: you know the fact that we need to be taking 1345 01:07:52,360 --> 01:07:55,240 Speaker 1: advantage of these opportunities to engage when you know, the 1346 01:07:55,280 --> 01:07:57,760 Speaker 1: agency or the whatever it might be as asking for 1347 01:07:57,800 --> 01:08:00,960 Speaker 1: feedback from hunters, Well, here is a using opportunity for 1348 01:08:01,120 --> 01:08:03,800 Speaker 1: hunters to get involved, to have their voices heard, to 1349 01:08:03,800 --> 01:08:05,840 Speaker 1: to interact with people, like you said, from all these 1350 01:08:05,840 --> 01:08:08,600 Speaker 1: different stakeholders. I mean, how often does you know, how 1351 01:08:08,640 --> 01:08:10,720 Speaker 1: often what I get the chance that an average deer 1352 01:08:10,760 --> 01:08:13,000 Speaker 1: hunter sit down and talk to a biologist or someone 1353 01:08:13,000 --> 01:08:15,920 Speaker 1: in the industry or a media representative or you know, 1354 01:08:16,240 --> 01:08:18,800 Speaker 1: someone from an advocacy or conservation group and hear all 1355 01:08:18,840 --> 01:08:22,280 Speaker 1: the different perspectives on you know, what's what are the 1356 01:08:22,320 --> 01:08:24,160 Speaker 1: solutions for some of these issues or what are the 1357 01:08:24,160 --> 01:08:25,720 Speaker 1: problems or what are the things we need to be 1358 01:08:25,720 --> 01:08:27,360 Speaker 1: moving forward on. I think it's going to be really 1359 01:08:27,400 --> 01:08:29,320 Speaker 1: interesting to hear all these different things, to interact with 1360 01:08:29,320 --> 01:08:31,600 Speaker 1: all these different people, and like you said, to have 1361 01:08:31,680 --> 01:08:36,000 Speaker 1: a real, um, you know, a real stake in what 1362 01:08:36,120 --> 01:08:40,599 Speaker 1: happens moving forward. So I will be sure to get um, 1363 01:08:40,640 --> 01:08:43,120 Speaker 1: you know, information in the show notes for anyone listening. 1364 01:08:43,120 --> 01:08:46,120 Speaker 1: If you want more information about the North American Deer Summit, 1365 01:08:46,240 --> 01:08:50,080 Speaker 1: go to wired hunt dot com slash episode forty one 1366 01:08:50,360 --> 01:08:52,400 Speaker 1: and you'll they'll have a link there that can drive 1367 01:08:52,439 --> 01:08:54,559 Speaker 1: you to a website with all the details about the summer, 1368 01:08:54,560 --> 01:08:57,360 Speaker 1: how to register, UM, what else to look forward to? UM, 1369 01:08:57,360 --> 01:08:59,040 Speaker 1: I think there's some really neat things that are that 1370 01:08:59,080 --> 01:09:01,160 Speaker 1: are gonna be going on there that are directly relevant 1371 01:09:01,160 --> 01:09:05,120 Speaker 1: to the conversation we've been having here today. So that said, Kip, 1372 01:09:05,160 --> 01:09:07,040 Speaker 1: we are we are coming up on time, and we've 1373 01:09:07,080 --> 01:09:08,559 Speaker 1: taken a lot of time out of your day. So 1374 01:09:08,600 --> 01:09:11,400 Speaker 1: I want to to thank you for spending this last 1375 01:09:11,400 --> 01:09:15,040 Speaker 1: hour with us discussing white tails. Absolutely, it was it 1376 01:09:15,080 --> 01:09:18,120 Speaker 1: was good talking with you. And I'll tell your listeners too, 1377 01:09:18,160 --> 01:09:20,040 Speaker 1: if any of them are interested in the white tail 1378 01:09:20,080 --> 01:09:22,560 Speaker 1: report that we discussed about this time. It's gonna be 1379 01:09:22,560 --> 01:09:26,200 Speaker 1: available on our website next week, so it'll be there. 1380 01:09:26,240 --> 01:09:28,160 Speaker 1: It's free to take. Anybody can go and grab it 1381 01:09:28,200 --> 01:09:30,559 Speaker 1: and take a look at how their state compares to 1382 01:09:30,600 --> 01:09:33,400 Speaker 1: others and see what these big issues are and what 1383 01:09:33,439 --> 01:09:35,920 Speaker 1: folks are doing to address them. Absolutely, I think it's 1384 01:09:35,960 --> 01:09:38,160 Speaker 1: it's a really tremendous resource you guys have been putting 1385 01:09:38,200 --> 01:09:40,679 Speaker 1: out there. And like you mentioned, it's a free download. 1386 01:09:40,720 --> 01:09:43,559 Speaker 1: You can download a pdf right right right now, really easily, 1387 01:09:44,040 --> 01:09:46,000 Speaker 1: and I will make sure to include that link as 1388 01:09:46,000 --> 01:09:48,680 Speaker 1: well in the show notes. And just severyone knows the 1389 01:09:48,720 --> 01:09:51,800 Speaker 1: past white Tail reports are available to download two and so, 1390 01:09:51,920 --> 01:09:54,840 Speaker 1: like you mentioned, Kip, I think there's been five or 1391 01:09:55,080 --> 01:09:57,839 Speaker 1: five of them maybe now. We started in two thousand 1392 01:09:57,840 --> 01:10:00,960 Speaker 1: and nine, so we got yeah, I hit, it doesn't 1393 01:10:00,960 --> 01:10:03,240 Speaker 1: seem like that's gone that quickly, but yeah, we've got 1394 01:10:03,320 --> 01:10:05,200 Speaker 1: quite a few of them there now. And each year, 1395 01:10:05,240 --> 01:10:08,280 Speaker 1: you know, it's different issues that are leading uh the 1396 01:10:08,400 --> 01:10:10,840 Speaker 1: need to charge, so folks can take a look at 1397 01:10:10,880 --> 01:10:12,840 Speaker 1: what was the biggest thing in oh nine and then 1398 01:10:12,840 --> 01:10:15,960 Speaker 1: ten and in each year. So if you're a dear not, 1399 01:10:16,080 --> 01:10:19,080 Speaker 1: you're gonna like those reports. I promise you. Yeah, yeah, 1400 01:10:19,160 --> 01:10:21,960 Speaker 1: I can concur I've based on my experience digging into 1401 01:10:22,000 --> 01:10:24,840 Speaker 1: those there's it's just it's a tremendous resource, tons of information, 1402 01:10:24,960 --> 01:10:26,960 Speaker 1: tons of you know, not just trends and data, but 1403 01:10:27,000 --> 01:10:29,280 Speaker 1: then you know, you guys to provide some really great 1404 01:10:29,320 --> 01:10:33,360 Speaker 1: resources and um stories and articles related to different research 1405 01:10:33,479 --> 01:10:36,240 Speaker 1: or different studies and even hunting advice and whole bunch 1406 01:10:36,240 --> 01:10:38,679 Speaker 1: of different things. I've really enjoyed them. So I definitely 1407 01:10:38,720 --> 01:10:41,519 Speaker 1: recommend everyone listening to check out the past issues and 1408 01:10:41,560 --> 01:10:44,280 Speaker 1: then definitely next week when the two thou fifteen report 1409 01:10:44,320 --> 01:10:47,880 Speaker 1: comes out, check that out for sure. So I think 1410 01:10:47,880 --> 01:10:50,160 Speaker 1: that's gonna be at first Kip, thank you so much. 1411 01:10:50,640 --> 01:10:52,519 Speaker 1: All right, great talking to you guys though, have a 1412 01:10:52,520 --> 01:10:57,160 Speaker 1: good day you too, kid. All right, well, there you 1413 01:10:57,200 --> 01:11:00,960 Speaker 1: have it. Things are definitely getting interesting these days in 1414 01:11:01,000 --> 01:11:05,080 Speaker 1: the white tail world. But remember you can get involved 1415 01:11:05,160 --> 01:11:07,960 Speaker 1: and help promote positive change. And I encourage you to 1416 01:11:08,000 --> 01:11:11,120 Speaker 1: get involved organizations like the National Deer Lines, the QT 1417 01:11:11,280 --> 01:11:13,880 Speaker 1: may or white Tails Unlimited and find ways that you 1418 01:11:13,880 --> 01:11:17,519 Speaker 1: can help the cause. And as we discussed, definitely look 1419 01:11:17,560 --> 01:11:20,479 Speaker 1: into the North American Deer Summit too. Now for show 1420 01:11:20,560 --> 01:11:23,320 Speaker 1: notes and links to all the different resources and organizations 1421 01:11:23,320 --> 01:11:27,160 Speaker 1: we've discussed. Visit Wired to Hunt dot com slash episode 1422 01:11:27,280 --> 01:11:30,400 Speaker 1: forty one, and if you haven't done so already, make 1423 01:11:30,400 --> 01:11:33,200 Speaker 1: sure you subscribe to the wire Hunt podcast on iTunes, 1424 01:11:33,360 --> 01:11:35,800 Speaker 1: the Apple podcast app, or the Stitcher app if you 1425 01:11:35,880 --> 01:11:38,920 Speaker 1: use Android, so you'll get all the future episodes downloaded 1426 01:11:39,000 --> 01:11:42,479 Speaker 1: right to your phone or tablet. Also, if you've enjoyed 1427 01:11:42,520 --> 01:11:44,560 Speaker 1: the show, i'd encourage you to leave a rating or 1428 01:11:44,600 --> 01:11:47,880 Speaker 1: review on iTunes. It's a huge help, so thank you 1429 01:11:47,920 --> 01:11:50,559 Speaker 1: for doing that. And speaking of thank you, we also 1430 01:11:50,600 --> 01:11:53,080 Speaker 1: like to thank our partners who helped make this show possible. 1431 01:11:53,439 --> 01:11:56,639 Speaker 1: Big thanks to Sick of Gear, Trophy, Ridge Bear Archery, 1432 01:11:56,960 --> 01:12:01,639 Speaker 1: Red Knife Blinds, Carbon Express Arrows, Hunts, Lacrosse Boots, Big 1433 01:12:01,720 --> 01:12:04,640 Speaker 1: and J Longrange Attractants, and the White Tail Institute of 1434 01:12:04,760 --> 01:12:09,400 Speaker 1: North America. And finally, thanks to you for joining us today. 1435 01:12:10,040 --> 01:12:12,240 Speaker 1: With all of us hunters working together to protect and 1436 01:12:12,320 --> 01:12:14,880 Speaker 1: promote deer and deer hunting, I'm excited to see the 1437 01:12:14,920 --> 01:12:17,400 Speaker 1: great things we can accomplish in two thousand and fifteen, 1438 01:12:17,800 --> 01:12:21,120 Speaker 1: So get involved, let your voice be heard, and stay 1439 01:12:21,479 --> 01:12:22,240 Speaker 1: Wired to Hunt.