1 00:00:02,880 --> 00:00:06,440 Speaker 1: Welcome to the Wire 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 --> 00:00:17,120 Speaker 1: Mark Kenyon. Welcome to the Wire to Hunt Podcast. I'm 4 00:00:17,160 --> 00:00:20,400 Speaker 1: your host Mark Kenyon. In this episode number forty three, 5 00:00:21,040 --> 00:00:24,120 Speaker 1: Tay in the show, we're joined by renowned wildlife biologist 6 00:00:24,160 --> 00:00:27,800 Speaker 1: and white tail manager Dr Grant Woods to discuss how 7 00:00:27,840 --> 00:00:42,479 Speaker 1: we can handle white tail management adversity. All right, welcome 8 00:00:42,560 --> 00:00:45,959 Speaker 1: to the Wire to Hunt podcast. And today we've got 9 00:00:46,000 --> 00:00:48,640 Speaker 1: a really exceptional show in store for you guys, because 10 00:00:48,640 --> 00:00:52,040 Speaker 1: we're being joined by Dr Grant Woods, the host of 11 00:00:52,080 --> 00:00:55,240 Speaker 1: Growing Dear TV and really one of the foremost experts 12 00:00:55,280 --> 00:00:57,840 Speaker 1: on deer and deer management. And I wanted to bring 13 00:00:57,880 --> 00:01:00,680 Speaker 1: Grant onto the show to help us continue a conversation 14 00:01:00,720 --> 00:01:03,400 Speaker 1: We started a few episodes back when we had Kip 15 00:01:03,440 --> 00:01:06,160 Speaker 1: Adams on the podcast to discuss the current state of 16 00:01:06,240 --> 00:01:09,440 Speaker 1: white tails, and in that episode, Kip shared a number 17 00:01:09,440 --> 00:01:11,720 Speaker 1: of challenges that deer and deer hunters are facing across 18 00:01:11,760 --> 00:01:13,960 Speaker 1: the country and their challenges that I imagine many of 19 00:01:14,000 --> 00:01:16,560 Speaker 1: you are dealing with right now too. So that said, 20 00:01:17,200 --> 00:01:19,759 Speaker 1: now that we've identified some of these challenges, I wanted 21 00:01:19,800 --> 00:01:22,160 Speaker 1: to chat with grant about how we can deal with 22 00:01:22,200 --> 00:01:24,640 Speaker 1: these issues. So in a few minutes, we're going to 23 00:01:24,680 --> 00:01:27,600 Speaker 1: bring Dr Woods on the line. And I'm really excited 24 00:01:27,600 --> 00:01:30,199 Speaker 1: about that because I know we're all going to learn 25 00:01:30,360 --> 00:01:34,080 Speaker 1: a lot today. But Dan, are you as excited as 26 00:01:34,120 --> 00:01:38,720 Speaker 1: I am about this conversation. Well, he's a doctor, right, 27 00:01:39,959 --> 00:01:42,240 Speaker 1: I mean not like a doctor that I mean, it's 28 00:01:42,280 --> 00:01:45,600 Speaker 1: not like fixed my cold kind of doctor. But he's 29 00:01:45,640 --> 00:01:47,560 Speaker 1: a doctor. Like he's a dear doctor, right, He's a 30 00:01:47,560 --> 00:01:50,240 Speaker 1: biologist that has a doctorate. Right, Yes, that is correct, 31 00:01:50,760 --> 00:01:56,800 Speaker 1: and that's pretty cool because doctor it's seemed to be 32 00:01:56,880 --> 00:02:00,080 Speaker 1: the biggest losers on the planet. But unless you're actually 33 00:02:00,000 --> 00:02:01,840 Speaker 1: a doctor. But because I met this one guy at 34 00:02:01,880 --> 00:02:04,520 Speaker 1: one time and he was a doctorate of English, and 35 00:02:04,560 --> 00:02:06,400 Speaker 1: I just didn't get along with him that well. He 36 00:02:06,400 --> 00:02:09,000 Speaker 1: always was like correcting me, and I'm not you know, 37 00:02:09,040 --> 00:02:12,080 Speaker 1: I'm not very good with words or writing or talking 38 00:02:12,080 --> 00:02:14,000 Speaker 1: for the most part, so he was he was just 39 00:02:14,040 --> 00:02:16,640 Speaker 1: correcting me the whole time. But this guy, he's he's 40 00:02:16,680 --> 00:02:20,600 Speaker 1: a he's a doctor of deer, and I really like Deer. 41 00:02:20,639 --> 00:02:22,560 Speaker 1: So I think we're gonna have a pretty good conversation 42 00:02:22,600 --> 00:02:25,440 Speaker 1: with him today. Yeah, yeah, we definitely are. UM. I 43 00:02:25,480 --> 00:02:28,480 Speaker 1: don't know how familiar you are with Growing Dear TV 44 00:02:28,800 --> 00:02:33,920 Speaker 1: or what Grant's done, but he is just absolute wealth 45 00:02:34,160 --> 00:02:38,160 Speaker 1: of information about white tales and managing for white tales, 46 00:02:38,240 --> 00:02:42,280 Speaker 1: and habitat improvements and and really everything related to deer. UM. 47 00:02:42,320 --> 00:02:45,160 Speaker 1: I actually got to participate. I actually got to go 48 00:02:45,240 --> 00:02:48,080 Speaker 1: down to Missouri, I think three or four years ago 49 00:02:48,560 --> 00:02:52,040 Speaker 1: UM for the cut Amaze Dear Steward course, and as 50 00:02:52,080 --> 00:02:55,440 Speaker 1: part of that we got to UM actually tour Grant 51 00:02:55,440 --> 00:02:59,160 Speaker 1: Woods property down there, which was really really cool. He's 52 00:02:59,200 --> 00:03:02,800 Speaker 1: got just unbelievable property, and we gets to see all 53 00:03:02,800 --> 00:03:04,480 Speaker 1: the different things he's been putting in place and why 54 00:03:04,520 --> 00:03:06,600 Speaker 1: he's been doing things and how he's been doing things. 55 00:03:07,080 --> 00:03:10,200 Speaker 1: And Uh, I think in short, I just took if 56 00:03:10,240 --> 00:03:13,239 Speaker 1: anything that took away from that, it was that there 57 00:03:13,360 --> 00:03:15,840 Speaker 1: is so much to be done when it comes to 58 00:03:16,520 --> 00:03:19,480 Speaker 1: when it comes to deer and managing deer and and 59 00:03:19,520 --> 00:03:22,240 Speaker 1: to and there's so much to learn. So I'm excited 60 00:03:22,320 --> 00:03:25,240 Speaker 1: to spend a little extra time here with Grant learning. 61 00:03:25,880 --> 00:03:28,680 Speaker 1: He's a great teacher, he's a great speaker. UM. You know, 62 00:03:28,720 --> 00:03:31,320 Speaker 1: for anyone that's watched an episode of Growing Dear TV, 63 00:03:31,960 --> 00:03:35,240 Speaker 1: UM which is Grant's web show. If you've seen that, 64 00:03:35,360 --> 00:03:38,240 Speaker 1: you know that he's just a terrific guy to listen to. 65 00:03:38,680 --> 00:03:41,440 Speaker 1: And um I'm thrilled that he's going to join us 66 00:03:41,440 --> 00:03:43,600 Speaker 1: here on the Wire Dump podcast to to kind of 67 00:03:43,600 --> 00:03:47,160 Speaker 1: share his two cents on a number of these issues. Yeah, 68 00:03:47,160 --> 00:03:51,040 Speaker 1: I'm I just love learning about the science, you know, 69 00:03:51,080 --> 00:03:54,400 Speaker 1: because because here we are where you know, we may 70 00:03:54,440 --> 00:03:58,080 Speaker 1: be giving tips and tricks to our listeners, or you 71 00:03:58,120 --> 00:04:01,200 Speaker 1: may read an article about what you should do, you know, 72 00:04:01,280 --> 00:04:04,480 Speaker 1: to hold bigger deer, but but then finding out the 73 00:04:04,560 --> 00:04:09,320 Speaker 1: science behind it and the reasoning for those tips for 74 00:04:09,440 --> 00:04:13,040 Speaker 1: tricks or you know, food plots or whatnot you can 75 00:04:13,720 --> 00:04:15,680 Speaker 1: is just it blows my mind. And that's the stuff 76 00:04:15,720 --> 00:04:19,120 Speaker 1: I love to learn about. Yeah, yeah, you and me both. I. 77 00:04:19,240 --> 00:04:22,760 Speaker 1: Um I had a phone called Grant a couple of 78 00:04:22,760 --> 00:04:25,240 Speaker 1: months ago, a month or two ago, um I was 79 00:04:25,279 --> 00:04:28,359 Speaker 1: interviewing him for for a story and had some questions 80 00:04:28,360 --> 00:04:31,880 Speaker 1: to him for him regarding kind of everything going on 81 00:04:31,960 --> 00:04:34,120 Speaker 1: right now in the white tailed world, and he just 82 00:04:34,240 --> 00:04:39,839 Speaker 1: had a tremendous amount of perspective and insight into so 83 00:04:39,880 --> 00:04:42,040 Speaker 1: many different issues that we talked about, you know, two 84 00:04:42,080 --> 00:04:44,960 Speaker 1: weeks ago with Kip when he started talking through some 85 00:04:45,040 --> 00:04:47,320 Speaker 1: of the kind of state of white tails across the 86 00:04:47,360 --> 00:04:49,080 Speaker 1: country and some of the numbers that we're seeing and 87 00:04:49,120 --> 00:04:51,600 Speaker 1: some of the challenges, and Grant had some really really 88 00:04:51,640 --> 00:04:53,560 Speaker 1: interesting insights, And as I was talking to him during 89 00:04:53,560 --> 00:04:55,800 Speaker 1: that conversation, I just thought, you know, we have to 90 00:04:55,800 --> 00:04:57,800 Speaker 1: get him here on two on the show to talk 91 00:04:57,839 --> 00:05:00,520 Speaker 1: about some of those things. So I think, you know, 92 00:05:01,480 --> 00:05:03,320 Speaker 1: I don't think there's anymore that you need to say. 93 00:05:03,400 --> 00:05:05,839 Speaker 1: I think we just need to get Grant on the line. 94 00:05:06,200 --> 00:05:09,080 Speaker 1: We need to, you know, get some questions in front 95 00:05:09,080 --> 00:05:10,760 Speaker 1: of them, and we need to just sit down and 96 00:05:10,800 --> 00:05:13,800 Speaker 1: listen and take notes and hear what Grant has to say. 97 00:05:13,839 --> 00:05:16,920 Speaker 1: Because I think you and me and hopefully a lot 98 00:05:16,960 --> 00:05:18,880 Speaker 1: of other people listening, I think there's a lot that 99 00:05:18,920 --> 00:05:21,839 Speaker 1: we can learn from Dr Grant Woods. So what do 100 00:05:21,880 --> 00:05:25,560 Speaker 1: you say we get Grant on the line? Sounds good? 101 00:05:26,200 --> 00:05:28,640 Speaker 1: All right? Here with us on the line? Is Dr 102 00:05:28,760 --> 00:05:33,400 Speaker 1: Grant Woods? Welcome to show? Grant, Hey sparked, Hey, we 103 00:05:33,480 --> 00:05:35,560 Speaker 1: are really excited to have you on. Dan and I 104 00:05:35,600 --> 00:05:38,040 Speaker 1: were just talking a couple of minutes ago about the 105 00:05:38,080 --> 00:05:39,920 Speaker 1: fact that we just feel like, you know, for this 106 00:05:39,920 --> 00:05:41,960 Speaker 1: show this week, given what we've been talking about over 107 00:05:42,000 --> 00:05:43,760 Speaker 1: the past couple of weeks. You are really just the 108 00:05:44,360 --> 00:05:47,080 Speaker 1: perfect guy to give us a perspective on how to 109 00:05:47,160 --> 00:05:49,640 Speaker 1: handle kind of some of these new challenges that deer 110 00:05:49,640 --> 00:05:52,039 Speaker 1: and deer hunters are facing, uh, you know, in the 111 00:05:52,040 --> 00:05:54,880 Speaker 1: current day and time. But before we get into this 112 00:05:54,960 --> 00:05:57,200 Speaker 1: kind of really big and exciting topic, for those that 113 00:05:57,279 --> 00:05:59,160 Speaker 1: maybe aren't familiar with you, Grant, can you share with 114 00:05:59,200 --> 00:06:00,680 Speaker 1: us a little bit of back on as to you know, 115 00:06:00,720 --> 00:06:03,000 Speaker 1: what you do today and what experiences you bring to 116 00:06:03,000 --> 00:06:06,239 Speaker 1: the table. Yeah. Great, Well, you know, just I'm getting 117 00:06:06,240 --> 00:06:08,360 Speaker 1: to be an old man on fifty three and I 118 00:06:08,480 --> 00:06:11,080 Speaker 1: schooled here in Missouri and then University of Georgia and 119 00:06:11,080 --> 00:06:14,080 Speaker 1: finished with the Clemson And those were kind of the heydays. 120 00:06:14,120 --> 00:06:17,400 Speaker 1: Deer populations were going growing throughout the White Kills Range 121 00:06:17,400 --> 00:06:21,440 Speaker 1: and more and more expanded hunting opportunities, and guys were 122 00:06:21,480 --> 00:06:24,279 Speaker 1: just starting to buy land for for recreation or for 123 00:06:24,400 --> 00:06:26,320 Speaker 1: deer hunting, and of course, you know that's a long 124 00:06:26,360 --> 00:06:28,799 Speaker 1: ways from where we are now rest of normal stuff. 125 00:06:28,839 --> 00:06:33,239 Speaker 1: And and through that time, dear populations kept increasing until 126 00:06:33,320 --> 00:06:35,880 Speaker 1: you know, decade or a little bit longer ago, and 127 00:06:36,000 --> 00:06:39,560 Speaker 1: and then it started decreasing in some areas, and hadat 128 00:06:39,560 --> 00:06:41,400 Speaker 1: loss is certainly came to play and a lot of 129 00:06:41,440 --> 00:06:44,760 Speaker 1: pettters come in along that way. I started trying to 130 00:06:44,760 --> 00:06:47,720 Speaker 1: find ways to share information rather than one on one. 131 00:06:47,760 --> 00:06:50,160 Speaker 1: I've been a private consultant for twenty five years, we've 132 00:06:50,160 --> 00:06:53,200 Speaker 1: been incorporated twenty five years, and we started just using 133 00:06:53,240 --> 00:06:56,800 Speaker 1: the internet website Growing your Dot TV. We simply film 134 00:06:57,160 --> 00:06:59,720 Speaker 1: what we're doing every week fifty two weeks out of year. 135 00:07:00,120 --> 00:07:02,120 Speaker 1: Film one week and have a show up next week 136 00:07:02,160 --> 00:07:05,000 Speaker 1: and it's onneting and hunting season or the sty fire 137 00:07:05,120 --> 00:07:07,919 Speaker 1: or trapping or whatever we're doing. We just share that 138 00:07:07,920 --> 00:07:10,520 Speaker 1: with the public. There's about nine minutes long, and it's 139 00:07:10,600 --> 00:07:14,720 Speaker 1: a good project for us. Yeah, I've I personally have 140 00:07:14,760 --> 00:07:17,160 Speaker 1: really enjoyed what you're doing over there with Growing Dear TV. 141 00:07:17,680 --> 00:07:20,320 Speaker 1: And obviously over the past you know, three or four 142 00:07:20,360 --> 00:07:22,239 Speaker 1: years or however long it's been going, it's just grown 143 00:07:22,280 --> 00:07:25,080 Speaker 1: tremendously and everyone I've ever talked to about it has 144 00:07:25,160 --> 00:07:27,880 Speaker 1: has really found to be a helpful resource. So I 145 00:07:27,920 --> 00:07:30,840 Speaker 1: think you're you're definitely taking that knowledge that you were sharing, 146 00:07:30,920 --> 00:07:32,600 Speaker 1: like you mentioned, you know, one on one or with 147 00:07:32,680 --> 00:07:35,000 Speaker 1: your with your clients and You've been able to just 148 00:07:35,680 --> 00:07:37,720 Speaker 1: bring that to it's such a such a wider audience 149 00:07:37,840 --> 00:07:42,040 Speaker 1: is pretty incredible. UM. So you know that being the case, 150 00:07:42,040 --> 00:07:43,840 Speaker 1: and if if we're talking about how do we, you know, 151 00:07:44,000 --> 00:07:45,960 Speaker 1: bring some of your knowledge and your experiences to this 152 00:07:46,000 --> 00:07:48,040 Speaker 1: wider audience. That's what I'm hoping to do here today 153 00:07:48,040 --> 00:07:50,760 Speaker 1: to UM. You know, as I mentioned, we talked with 154 00:07:50,880 --> 00:07:53,800 Speaker 1: Kip a few weeks ago about the state of white 155 00:07:53,800 --> 00:07:56,480 Speaker 1: tails and he mentioned a number of challenges and he 156 00:07:56,520 --> 00:07:58,480 Speaker 1: also gave us kind of a diagnosis of his own 157 00:07:58,560 --> 00:08:00,520 Speaker 1: of of what he thinks the current state of white 158 00:08:00,520 --> 00:08:03,680 Speaker 1: tails is. UM. But that was his own perspective. So 159 00:08:03,720 --> 00:08:06,120 Speaker 1: I'm curious to kick things off Koreant. You know, could 160 00:08:06,120 --> 00:08:09,040 Speaker 1: you could you share with us your own personal diagnosis 161 00:08:09,040 --> 00:08:11,520 Speaker 1: of what you think the overall white tail situation is 162 00:08:11,560 --> 00:08:13,480 Speaker 1: across the country. I know that's it's hard to do 163 00:08:13,520 --> 00:08:15,720 Speaker 1: as there's things that are very localized, but at a 164 00:08:15,800 --> 00:08:17,880 Speaker 1: high level, can you give us your two cents on 165 00:08:17,880 --> 00:08:20,320 Speaker 1: on what the situation is today across the white tail world. 166 00:08:20,360 --> 00:08:23,120 Speaker 1: Are we in a good shape, bad shape? Or you know, 167 00:08:23,240 --> 00:08:25,440 Speaker 1: what are your thoughts at a high level on that issue. 168 00:08:27,320 --> 00:08:29,280 Speaker 1: I think we're on the tail end of being in 169 00:08:29,360 --> 00:08:33,080 Speaker 1: great shape. So anytime something's taken away from any of us, 170 00:08:33,120 --> 00:08:36,400 Speaker 1: we don't really like it. We've had just large, healthy 171 00:08:36,400 --> 00:08:40,000 Speaker 1: deer populations for again, about a decade or so, just 172 00:08:41,240 --> 00:08:44,880 Speaker 1: wide open hunting opportunities. You know, some states just guys 173 00:08:44,920 --> 00:08:48,120 Speaker 1: still more deering in any of us need legally, and 174 00:08:48,120 --> 00:08:51,640 Speaker 1: and those are being reduced to predators and through habitat 175 00:08:51,720 --> 00:08:55,560 Speaker 1: loss and through over harvest in some areas, and so 176 00:08:55,920 --> 00:08:59,760 Speaker 1: state agencies have or are talking about taking away hunting 177 00:08:59,760 --> 00:09:03,720 Speaker 1: off tunities, and no one likes that, myself included, and 178 00:09:03,760 --> 00:09:05,679 Speaker 1: so in some areas. But we're so great, and what 179 00:09:05,800 --> 00:09:07,800 Speaker 1: are some honey hooles out there were? Hunting is better 180 00:09:07,800 --> 00:09:11,240 Speaker 1: than never And by some measures, you know, we're harvesting 181 00:09:11,320 --> 00:09:13,840 Speaker 1: more older bucks right now as a percentage than we 182 00:09:13,960 --> 00:09:17,480 Speaker 1: ever have. Our our herds seem to have a more 183 00:09:17,480 --> 00:09:20,679 Speaker 1: balanced adult sex ray show and rattling and grunt calls 184 00:09:20,800 --> 00:09:24,599 Speaker 1: and huntings, grapes works and more and more areas. But 185 00:09:24,679 --> 00:09:28,000 Speaker 1: on the other hand, some places there's actually more food 186 00:09:28,000 --> 00:09:33,079 Speaker 1: than deer. Populations are down some states drastically down, harvest 187 00:09:33,120 --> 00:09:37,640 Speaker 1: down thirty in those cases, you know, we haven't lost 188 00:09:37,679 --> 00:09:40,000 Speaker 1: fifty cent of the deer habitat in the last three 189 00:09:40,080 --> 00:09:43,320 Speaker 1: or four years, So definitely some missues out there. The 190 00:09:43,360 --> 00:09:45,040 Speaker 1: great thing is we do have a lot of knowledge, 191 00:09:45,040 --> 00:09:48,040 Speaker 1: and I think all the issues we're facing, almost all 192 00:09:48,080 --> 00:09:50,959 Speaker 1: of them can be fixed and pretty short order if 193 00:09:51,200 --> 00:09:56,080 Speaker 1: hunners and agencies are willing to take those steps. That's 194 00:09:56,720 --> 00:09:58,880 Speaker 1: I like to hear about optimism, UM, you know, in 195 00:09:58,920 --> 00:10:02,320 Speaker 1: regards to you know, how those issues can be fixed. UM. 196 00:10:02,360 --> 00:10:04,280 Speaker 1: And I want to take some time here to dive 197 00:10:04,320 --> 00:10:08,320 Speaker 1: into some of those potential solutions. UM. But I guess 198 00:10:08,320 --> 00:10:10,079 Speaker 1: I'm I guess at a high level, grant, can you 199 00:10:10,120 --> 00:10:11,960 Speaker 1: address a couple of those things? What do you see 200 00:10:11,960 --> 00:10:15,280 Speaker 1: as the as the largest challenges at a high level? Um? 201 00:10:15,320 --> 00:10:16,640 Speaker 1: And then what do you think some of the things 202 00:10:16,640 --> 00:10:20,160 Speaker 1: that we or the agencies and hunters and other organizations 203 00:10:20,160 --> 00:10:24,000 Speaker 1: can do to address those? Okay, at a really high level, 204 00:10:24,679 --> 00:10:29,480 Speaker 1: I think agencies have to give more control of deer 205 00:10:29,520 --> 00:10:34,360 Speaker 1: management to landowners or dear co ops or you know whatever. 206 00:10:34,440 --> 00:10:36,200 Speaker 1: Each state can have a different way of doing that. 207 00:10:36,360 --> 00:10:38,920 Speaker 1: But to the end users how I like to phrase it, 208 00:10:38,960 --> 00:10:41,079 Speaker 1: and whatever form that end user or the hunter on 209 00:10:41,160 --> 00:10:45,000 Speaker 1: the ground is. So hunters tend to see trends of 210 00:10:45,200 --> 00:10:51,160 Speaker 1: deer hurts declining, uh, the severity of disese outbreaks tend 211 00:10:51,200 --> 00:10:54,360 Speaker 1: to pick those up quicker than agencies. Agencies are usually 212 00:10:54,360 --> 00:10:58,600 Speaker 1: working on one to three years past harvest data, and 213 00:10:58,840 --> 00:11:01,040 Speaker 1: you know, in a big day, they're a really well 214 00:11:01,120 --> 00:11:04,120 Speaker 1: funded state may have ten or twelve people working on deer. 215 00:11:04,640 --> 00:11:06,640 Speaker 1: We're in that state, there may be half a million 216 00:11:06,679 --> 00:11:09,000 Speaker 1: deer hunters, So there's a lot of eyes out there 217 00:11:09,040 --> 00:11:12,559 Speaker 1: and literally thousands of joke candas and all kinds of 218 00:11:12,559 --> 00:11:15,360 Speaker 1: stuff going. So I think when agencies stay in a model, 219 00:11:15,600 --> 00:11:17,439 Speaker 1: you know, we're gonna write a tenure deer manager plan 220 00:11:17,559 --> 00:11:20,400 Speaker 1: for state X, y Z, and then they're committed to 221 00:11:20,480 --> 00:11:23,440 Speaker 1: that plan. In the middle of that plan, there's an 222 00:11:23,559 --> 00:11:26,640 Speaker 1: h D HIM radjet d's outbreak or child populations just 223 00:11:26,800 --> 00:11:30,320 Speaker 1: blow up faster than anyone predicted, and the agency doesn't 224 00:11:30,360 --> 00:11:33,559 Speaker 1: want to change their model, and hunters are screaming and crying, gosh, 225 00:11:33,600 --> 00:11:35,480 Speaker 1: I'm not seeing near the deer I used to see, 226 00:11:35,640 --> 00:11:38,439 Speaker 1: or or whatever case may be. There's got to be 227 00:11:38,520 --> 00:11:41,240 Speaker 1: a way for the agencies to be more interactive, and 228 00:11:41,280 --> 00:11:45,680 Speaker 1: I think that way is to allow landowners that collect data, 229 00:11:45,800 --> 00:11:49,800 Speaker 1: harvest data, observation data, and are showing their good stewards 230 00:11:49,800 --> 00:11:52,480 Speaker 1: and the resource to give them the freedom to make 231 00:11:52,559 --> 00:11:56,040 Speaker 1: changes or choices along the way. So there's two ways 232 00:11:56,080 --> 00:12:00,400 Speaker 1: to do that. Sixteen states currently have a d MAP program. 233 00:12:00,440 --> 00:12:04,720 Speaker 1: That's dear Management, the systems program same some states called 234 00:12:04,760 --> 00:12:08,720 Speaker 1: a different name, but basically it allows landowners or joining 235 00:12:08,840 --> 00:12:13,000 Speaker 1: landowners to ride a management plan as long as they 236 00:12:13,040 --> 00:12:15,880 Speaker 1: collect data and that you know the plans within pretty 237 00:12:15,960 --> 00:12:19,080 Speaker 1: reasonable bounds. The state says, okay, how many DEAR tags 238 00:12:19,080 --> 00:12:23,160 Speaker 1: you need, So you're setting basically the harvest quota property 239 00:12:23,280 --> 00:12:27,319 Speaker 1: by property, and that is the epitome or the top 240 00:12:27,360 --> 00:12:31,040 Speaker 1: of deer management. That's when you have concerned landowners and 241 00:12:31,120 --> 00:12:34,120 Speaker 1: hunters in an area doing what's best for a resource. 242 00:12:35,000 --> 00:12:37,360 Speaker 1: And you go all the way down to the other 243 00:12:37,400 --> 00:12:41,240 Speaker 1: Internet spectrum and you have a state that says we're 244 00:12:41,320 --> 00:12:45,839 Speaker 1: going to do X y Z statewide and even anybody 245 00:12:45,920 --> 00:12:49,240 Speaker 1: states like Delaware just three counties in the state of Delaware. 246 00:12:49,800 --> 00:12:52,440 Speaker 1: There's big differences from one side of the state to 247 00:12:52,480 --> 00:12:55,440 Speaker 1: the other, and one rule just does not apply to 248 00:12:55,520 --> 00:13:00,280 Speaker 1: the whole state. So agencies at the thirty out on 249 00:13:00,320 --> 00:13:05,480 Speaker 1: foot level have to become more flexible and work hand 250 00:13:05,520 --> 00:13:08,360 Speaker 1: in hand with the guides and gals on the ground 251 00:13:09,040 --> 00:13:14,160 Speaker 1: to avoid this, this kind of decreasing dear heard numbers 252 00:13:14,240 --> 00:13:17,440 Speaker 1: and even quality in some areas from fighting further down 253 00:13:17,440 --> 00:13:23,320 Speaker 1: the slope. Okay, that makes that makes a lot of sense. 254 00:13:23,360 --> 00:13:27,400 Speaker 1: Now you you talked there about, you know, the responsibility 255 00:13:27,440 --> 00:13:29,600 Speaker 1: on the side of the of the agency to to 256 00:13:29,760 --> 00:13:34,000 Speaker 1: enable the private landowner. Um, something that you and I 257 00:13:34,080 --> 00:13:36,839 Speaker 1: had talked about maybe a month or two ago. UM 258 00:13:37,160 --> 00:13:38,960 Speaker 1: kind of related to the subject as you talked about 259 00:13:39,000 --> 00:13:41,520 Speaker 1: the fact that more you know, correct me if I'm wrong, 260 00:13:41,559 --> 00:13:43,280 Speaker 1: but I believe you've said something on the lines of 261 00:13:43,720 --> 00:13:46,680 Speaker 1: the fact that today, more than ever, you know, the 262 00:13:46,720 --> 00:13:50,559 Speaker 1: responsibility has to shift to the landowner or if the 263 00:13:50,640 --> 00:13:53,000 Speaker 1: landowner wants to see the types of results that we 264 00:13:53,040 --> 00:13:55,040 Speaker 1: have seen over the past ten years, more of that 265 00:13:55,120 --> 00:13:58,360 Speaker 1: responsibility needs to be on the shoulders of the landowner 266 00:13:58,400 --> 00:14:00,520 Speaker 1: or the individual hunter on public lander, whatever it is, 267 00:14:00,520 --> 00:14:05,120 Speaker 1: to start taking um, some taking some responsible to themselves 268 00:14:05,200 --> 00:14:08,360 Speaker 1: to improving the situation or taking an active hand in 269 00:14:08,400 --> 00:14:11,640 Speaker 1: managing their area. Um. You know, do you believe that 270 00:14:11,720 --> 00:14:14,320 Speaker 1: same additional responsibility now has to stand um, you know, 271 00:14:14,360 --> 00:14:17,280 Speaker 1: with the hunters to given these changes? Absolutely, you know, 272 00:14:17,320 --> 00:14:19,920 Speaker 1: and I think this is. It's really pretty simple, you know. 273 00:14:19,960 --> 00:14:23,880 Speaker 1: And again, I'm fifty three. I was raised in Missouri. 274 00:14:23,880 --> 00:14:26,080 Speaker 1: I currently live in Missouri. I was raised in the 275 00:14:26,080 --> 00:14:28,320 Speaker 1: county that did not have a deer season even in 276 00:14:28,360 --> 00:14:32,000 Speaker 1: my lifetime. I lived through the restoration. And he's talking 277 00:14:32,040 --> 00:14:35,840 Speaker 1: of deer two Geyster's that we can even kill antlerless 278 00:14:35,920 --> 00:14:39,680 Speaker 1: deer while there's a lot of deer two. Now there's 279 00:14:39,760 --> 00:14:42,560 Speaker 1: you know, urban programs trying to harvest even more dear 280 00:14:43,280 --> 00:14:46,400 Speaker 1: and crop damage. Uh So I kind of live through 281 00:14:46,440 --> 00:14:50,880 Speaker 1: that whole spectrum. But when we started, everyone was so thrilled, 282 00:14:51,000 --> 00:14:53,280 Speaker 1: myself and my family and TWU did just to see 283 00:14:53,280 --> 00:14:58,400 Speaker 1: a deer that one statewide regulation one bird, one buck, 284 00:14:58,440 --> 00:15:01,800 Speaker 1: excuse me, per hunter was a great management plan. No 285 00:15:01,840 --> 00:15:05,480 Speaker 1: one was even using the word but quality or age structure, 286 00:15:05,640 --> 00:15:09,760 Speaker 1: or conception dates or sex ratios. It was dear hunting. 287 00:15:10,440 --> 00:15:13,320 Speaker 1: There's nothing wrong with that if that's what most people want. 288 00:15:13,320 --> 00:15:16,320 Speaker 1: But that's not what most people want. Survey after survey 289 00:15:16,360 --> 00:15:19,760 Speaker 1: tells us that today and the rules were really simple, 290 00:15:19,800 --> 00:15:22,760 Speaker 1: and the rule applied from one side of Missouri to 291 00:15:22,800 --> 00:15:25,280 Speaker 1: the other side of Missouri, and everyone was pretty much happy. 292 00:15:25,600 --> 00:15:29,160 Speaker 1: Public land, private land, not a lot of difference as 293 00:15:29,200 --> 00:15:33,200 Speaker 1: people have started figured out well we could, you're getting 294 00:15:33,240 --> 00:15:36,920 Speaker 1: bigger as they get older. Males produce more antlers, more 295 00:15:36,960 --> 00:15:40,320 Speaker 1: inches of antler as they get older. Typically we can 296 00:15:40,360 --> 00:15:44,280 Speaker 1: plant food plots and forceded areas and raised the nutrition level. 297 00:15:44,840 --> 00:15:47,520 Speaker 1: We're deer or even grow bigger than average in a 298 00:15:48,040 --> 00:15:52,960 Speaker 1: totally forested area. So now the landscape is this vast 299 00:15:53,120 --> 00:15:57,640 Speaker 1: array of different maazement goals of jeffies, not county by county, 300 00:15:57,720 --> 00:16:00,760 Speaker 1: but even a lot of areas property by property for 301 00:16:00,960 --> 00:16:05,520 Speaker 1: simply not enough resources in any state agency to address 302 00:16:05,560 --> 00:16:09,720 Speaker 1: all those landowners. So in my in my view, the 303 00:16:09,720 --> 00:16:13,720 Speaker 1: best row of state can do is collect overall herd 304 00:16:13,760 --> 00:16:17,480 Speaker 1: health indicators. Body weights are really easy to collect, age 305 00:16:17,480 --> 00:16:22,000 Speaker 1: of harvest, check for diseases. And this is the biggie, 306 00:16:22,160 --> 00:16:24,480 Speaker 1: and this is where some states don't live up to 307 00:16:24,520 --> 00:16:29,440 Speaker 1: what I think they should to ride unbiased, really good information. 308 00:16:29,560 --> 00:16:33,360 Speaker 1: So landowners and hunters can make decisions and kind of 309 00:16:33,760 --> 00:16:37,640 Speaker 1: manage their property for their goals and objectives. And in 310 00:16:37,680 --> 00:16:40,280 Speaker 1: some states seams maybe don't want to give up that control, 311 00:16:40,480 --> 00:16:42,400 Speaker 1: or maybe don't know and don't want to admit they 312 00:16:42,440 --> 00:16:44,600 Speaker 1: don't know, or simply just you know, we've been doing 313 00:16:44,600 --> 00:16:46,800 Speaker 1: this for ten years. By golly, we're not changing now. 314 00:16:47,560 --> 00:16:52,600 Speaker 1: But those times are over. They're absolutely done. And landowners 315 00:16:52,680 --> 00:16:56,960 Speaker 1: by land small properties, large properties for the sole purpose 316 00:16:57,000 --> 00:17:00,840 Speaker 1: of deer honey, any want ability or the flexibility and 317 00:17:00,920 --> 00:17:03,640 Speaker 1: their regulations to manage that your heard for their goals 318 00:17:03,640 --> 00:17:07,280 Speaker 1: and objectives. They're not buying land just to shoot the 319 00:17:07,280 --> 00:17:09,119 Speaker 1: first year and a half a bucket. See, that's just 320 00:17:09,160 --> 00:17:11,280 Speaker 1: an absolute fact. You know, no one goes out and 321 00:17:11,280 --> 00:17:13,400 Speaker 1: buy the big o ranch or even a small ranch, 322 00:17:13,400 --> 00:17:15,240 Speaker 1: says well, I sure, hope I should despite the day 323 00:17:15,560 --> 00:17:20,200 Speaker 1: I just made my day. That just doesn't happen. And 324 00:17:20,520 --> 00:17:23,480 Speaker 1: it's not bad. I think it's great because you know what, 325 00:17:24,440 --> 00:17:28,920 Speaker 1: healthier deer have larger antlers. That's a fact. And so 326 00:17:29,200 --> 00:17:32,040 Speaker 1: some people get mad about talking about antlers. Man, I 327 00:17:32,160 --> 00:17:35,119 Speaker 1: love it because I know if there's older, mature deer, 328 00:17:35,359 --> 00:17:38,160 Speaker 1: but you know, I'm talking realistic cantler. It's not something 329 00:17:38,280 --> 00:17:40,200 Speaker 1: raised in the ten nak er ten just full of steroids, 330 00:17:40,280 --> 00:17:44,600 Speaker 1: you know, realistic, wild, free ranging deer. Man. I love 331 00:17:44,640 --> 00:17:48,160 Speaker 1: guys talking about antlers because antlers mean there were healthy fonds, 332 00:17:48,600 --> 00:17:51,320 Speaker 1: there were healthy does, there's plenty of good habitat, plenty 333 00:17:51,359 --> 00:17:54,600 Speaker 1: of escape cover, the stress level of that deer's down. 334 00:17:55,000 --> 00:17:57,240 Speaker 1: You know, with all those components, a lot of non 335 00:17:57,320 --> 00:18:01,440 Speaker 1: game species are benefiting also, so own birds with tiles, 336 00:18:01,520 --> 00:18:04,879 Speaker 1: other species. But we're not going to go out and 337 00:18:04,920 --> 00:18:07,879 Speaker 1: say today, hey, folks, we all need to manage for 338 00:18:07,880 --> 00:18:11,159 Speaker 1: the flatwood Salamantham. You're just not gonna gain any traction. 339 00:18:11,320 --> 00:18:14,439 Speaker 1: There's a small following out there, but not much. But 340 00:18:14,480 --> 00:18:17,040 Speaker 1: when we say let's have better habitat for deer, a 341 00:18:17,119 --> 00:18:22,760 Speaker 1: whole bunch of species benefit. Yeah. And um, something you 342 00:18:22,800 --> 00:18:25,040 Speaker 1: said that I think ties in really well with with 343 00:18:25,080 --> 00:18:27,359 Speaker 1: where I wanted to take things next. And that's the 344 00:18:27,400 --> 00:18:31,080 Speaker 1: fact that, um, you know, we're taking a look at 345 00:18:32,359 --> 00:18:34,840 Speaker 1: how to measure the health of the herd, and you 346 00:18:34,880 --> 00:18:38,159 Speaker 1: mentioned antlers are great indicator of healthy deer um. And 347 00:18:38,200 --> 00:18:40,480 Speaker 1: we also talked about, you know, moving the responsibility away 348 00:18:40,480 --> 00:18:42,360 Speaker 1: from not just the agencies and everything, but we need 349 00:18:42,359 --> 00:18:44,920 Speaker 1: to manage at the property level or the more region 350 00:18:45,000 --> 00:18:48,199 Speaker 1: specific level. So for our listeners who now we're you know, 351 00:18:48,240 --> 00:18:50,480 Speaker 1: we've we've talked all about some of the different challenges. 352 00:18:50,720 --> 00:18:52,480 Speaker 1: We've talked about things that we hope will happen at 353 00:18:52,480 --> 00:18:54,159 Speaker 1: a high level. But I really want to focus now 354 00:18:54,160 --> 00:18:56,479 Speaker 1: on you know, what can what can we do on 355 00:18:56,520 --> 00:18:59,440 Speaker 1: the ground to to address some of these issues. I mean, 356 00:19:00,200 --> 00:19:01,640 Speaker 1: you know some of the things you mentioned were over 357 00:19:01,720 --> 00:19:05,440 Speaker 1: harvest or disease, outbreak or predation. Um, I guess to 358 00:19:05,560 --> 00:19:08,800 Speaker 1: start though, I'm curious, Grant, you know, how can someone 359 00:19:09,000 --> 00:19:12,200 Speaker 1: assess the state or the health of their local white 360 00:19:12,200 --> 00:19:14,000 Speaker 1: tail herd? And you know what do they need to 361 00:19:14,040 --> 00:19:16,680 Speaker 1: look at to see? You know, is my white tailer struggling? 362 00:19:16,720 --> 00:19:18,480 Speaker 1: Do I need to be worried about these things? Or 363 00:19:18,520 --> 00:19:25,440 Speaker 1: am I? Okay? Okay? So for any assessment to have value, 364 00:19:26,000 --> 00:19:28,639 Speaker 1: you must have some type of baseline to compare it to. 365 00:19:29,800 --> 00:19:33,440 Speaker 1: And I default based on my professors, who at the 366 00:19:33,480 --> 00:19:36,840 Speaker 1: time I thought were crazy, but in hindsight I respect them. 367 00:19:37,040 --> 00:19:39,680 Speaker 1: I was finishing my PhD to ask me a question, 368 00:19:39,880 --> 00:19:43,879 Speaker 1: what did the deerhood he heard look like pre European 369 00:19:43,920 --> 00:19:46,199 Speaker 1: selver one thing? A little guys, no one was here, 370 00:19:46,240 --> 00:19:48,720 Speaker 1: How do we know? You know, who could possibly know that? 371 00:19:49,600 --> 00:19:51,320 Speaker 1: But you don't know, Argue. You go the library and 372 00:19:51,359 --> 00:19:53,239 Speaker 1: you dig, an, you dig, and it turns out that 373 00:19:53,480 --> 00:19:58,240 Speaker 1: archaeologists had had dug up recovered over tens or at 374 00:19:58,320 --> 00:20:01,680 Speaker 1: least I could find records for over in thousand pelvic 375 00:20:01,720 --> 00:20:06,320 Speaker 1: girdles from Indian middens or basically Indian trash heaps, and 376 00:20:07,000 --> 00:20:09,560 Speaker 1: in the archaeologist studied these not for the deer he safe, 377 00:20:09,600 --> 00:20:12,720 Speaker 1: but they were looking at Aboriginal butchering techniques they would 378 00:20:12,760 --> 00:20:15,200 Speaker 1: find there were time to get there's a pattern of deer. 379 00:20:15,400 --> 00:20:18,879 Speaker 1: Deer hunters at that time, Native Americans butcher dear the 380 00:20:18,880 --> 00:20:22,000 Speaker 1: same way. They're looking for rock marks or cup marks 381 00:20:22,000 --> 00:20:24,480 Speaker 1: on different major bones to sit there the same north 382 00:20:24,520 --> 00:20:29,320 Speaker 1: southeast west and deer by their pelvic girdle. It's very 383 00:20:29,359 --> 00:20:31,600 Speaker 1: different between a male and a female. You can very 384 00:20:31,640 --> 00:20:34,400 Speaker 1: accurately determine the gender of a white skilled deer by 385 00:20:34,400 --> 00:20:36,920 Speaker 1: the pelvic girdle. So you've got a helpic size of 386 00:20:36,920 --> 00:20:39,600 Speaker 1: the ten thousand from Florida North Dakota. You can kind 387 00:20:39,600 --> 00:20:41,520 Speaker 1: of see if they were killing more bucks, and does 388 00:20:41,800 --> 00:20:44,239 Speaker 1: you know what they killed fifty fifty All these are 389 00:20:44,280 --> 00:20:48,600 Speaker 1: guys with addle addles or bows or rocks or man 390 00:20:48,680 --> 00:20:51,879 Speaker 1: drives or whatever. They didn't have thirty six in dortex, 391 00:20:52,440 --> 00:20:56,080 Speaker 1: and they were killing the fifty fifty sex ration almost 392 00:20:56,119 --> 00:20:59,280 Speaker 1: better than any state in America right now. And then 393 00:21:00,000 --> 00:21:02,320 Speaker 1: you can also get kind of a pretty good feel 394 00:21:02,359 --> 00:21:05,320 Speaker 1: about the age of deer, like you know, new or 395 00:21:05,440 --> 00:21:08,200 Speaker 1: year old pretty accurately two to three, three four or 396 00:21:08,280 --> 00:21:12,879 Speaker 1: five I say seven, So basically young, immature, you know, 397 00:21:13,000 --> 00:21:17,119 Speaker 1: middle aged, mature, and senile. And we reconstructed or I 398 00:21:17,240 --> 00:21:21,520 Speaker 1: reconstructed the deer herd before European settlement. Based on all 399 00:21:21,520 --> 00:21:25,240 Speaker 1: these records out of museums around America, it turns out 400 00:21:25,680 --> 00:21:29,480 Speaker 1: almost sixth cent of the deer they're harvesting are mature, 401 00:21:29,560 --> 00:21:32,399 Speaker 1: are three years old and old. Almost no state in 402 00:21:32,400 --> 00:21:35,680 Speaker 1: America does it. Now Bucks end ups and you're thinking 403 00:21:35,720 --> 00:21:39,400 Speaker 1: about this. Okay, you're sitting in the TP his code. 404 00:21:40,000 --> 00:21:42,760 Speaker 1: Mama wants to new maxins. You need some meat. You're 405 00:21:42,800 --> 00:21:46,119 Speaker 1: not worried about if it's stores one, three four, just 406 00:21:46,119 --> 00:21:48,159 Speaker 1: trying to get one about seven ft because that's the 407 00:21:48,200 --> 00:21:52,480 Speaker 1: average shot distance literally, and so you're just going for deer. 408 00:21:53,160 --> 00:21:56,159 Speaker 1: And they had no bias based on antlers or or 409 00:21:56,200 --> 00:21:59,879 Speaker 1: anything else. And it turned out that there was a 410 00:22:00,040 --> 00:22:03,280 Speaker 1: really older age structured deer in the harvest because there 411 00:22:03,320 --> 00:22:06,719 Speaker 1: are plenty older deer out there, and a balanced sixth ratio. 412 00:22:06,760 --> 00:22:08,560 Speaker 1: They shout at the first deer they could get hold 413 00:22:08,560 --> 00:22:11,159 Speaker 1: of a trapped it or anyway they could acquire that 414 00:22:11,280 --> 00:22:14,480 Speaker 1: meat in that leather and those tools. So we're gonna 415 00:22:14,520 --> 00:22:16,880 Speaker 1: call that a healthy deer because that's what was here 416 00:22:16,920 --> 00:22:21,119 Speaker 1: before there was any biased selection bias selection excuse me, 417 00:22:21,880 --> 00:22:25,080 Speaker 1: and now and then the other really simple indicator. And 418 00:22:25,119 --> 00:22:26,919 Speaker 1: I like, I'm a man, I'm a body, so I 419 00:22:26,920 --> 00:22:29,840 Speaker 1: love really detailed data sending teeth actor Matson's lab and 420 00:22:29,840 --> 00:22:32,640 Speaker 1: all that stuff is great for me, but really, simply, 421 00:22:33,240 --> 00:22:36,520 Speaker 1: is there more deer than there's quality food and neat 422 00:22:36,560 --> 00:22:40,119 Speaker 1: area you hunt? Not food but quality food. So you know, 423 00:22:40,200 --> 00:22:42,480 Speaker 1: I live in hills, are mountains men, There's more acorns 424 00:22:42,480 --> 00:22:44,800 Speaker 1: and deer to eat this year, but that's not quality food. 425 00:22:44,840 --> 00:22:48,760 Speaker 1: Acorns are not quality food. So because there more quality 426 00:22:48,760 --> 00:22:51,480 Speaker 1: food and deer, if there is, I need to back 427 00:22:51,520 --> 00:22:54,320 Speaker 1: off my harvest and allow my deer population to expand 428 00:22:54,359 --> 00:22:58,080 Speaker 1: a little bit. Or on my deer browsing, on opending 429 00:22:58,080 --> 00:23:00,440 Speaker 1: on where you are wing down south sweet dumb ease 430 00:23:00,720 --> 00:23:03,919 Speaker 1: or up door. Certain species that are really not that 431 00:23:04,000 --> 00:23:07,360 Speaker 1: desirable are they just barely making it through? And this 432 00:23:07,440 --> 00:23:11,440 Speaker 1: is the simplest qualified biologists and in a landowner tablettle 433 00:23:11,480 --> 00:23:15,080 Speaker 1: training walking through his property, especially during the late winter 434 00:23:15,160 --> 00:23:18,040 Speaker 1: that's a stress period, or late summer August can be 435 00:23:18,040 --> 00:23:22,040 Speaker 1: a stress period. And seeing what forward species are being 436 00:23:22,080 --> 00:23:25,200 Speaker 1: browsed on, and within a few minutes you can say, 437 00:23:25,480 --> 00:23:27,520 Speaker 1: but we need to harvest some more doughs, or we 438 00:23:27,520 --> 00:23:29,360 Speaker 1: need to back off our dough harvest a little bit. 439 00:23:29,480 --> 00:23:31,840 Speaker 1: You notice I didn't say bucks, because they're non factors. 440 00:23:31,840 --> 00:23:34,800 Speaker 1: They're not part of reproduction unit. As far as giving 441 00:23:34,880 --> 00:23:37,640 Speaker 1: us more fonts, one buck con service a lot of dose. 442 00:23:39,000 --> 00:23:41,639 Speaker 1: So it's the dough harvest we're always interested in. Everyone 443 00:23:41,640 --> 00:23:45,160 Speaker 1: wants to talk bucks, but we gotta talk dough harvest. Now, 444 00:23:45,760 --> 00:23:49,199 Speaker 1: that's how to quantify. That's a good indicator. Okay, you 445 00:23:49,240 --> 00:23:52,440 Speaker 1: know my food plots are are nibbled down to the ground. 446 00:23:53,000 --> 00:23:55,679 Speaker 1: I need to harvest more deer or plant more food 447 00:23:55,800 --> 00:23:59,600 Speaker 1: or do something or gosh, I can't tell you've been 448 00:23:59,680 --> 00:24:02,800 Speaker 1: using my food plucks. There's no complaints that crop damage 449 00:24:02,840 --> 00:24:05,120 Speaker 1: in neighborhood or if I plant trees are not being 450 00:24:05,119 --> 00:24:07,639 Speaker 1: browsed off, I can allow this dear her to expand 451 00:24:07,640 --> 00:24:12,000 Speaker 1: a little bit. That's just them. Never fails, never let 452 00:24:12,080 --> 00:24:14,639 Speaker 1: you down. It's when we start trying to say we 453 00:24:14,760 --> 00:24:18,080 Speaker 1: have ten points seven deer for square mile or sixty 454 00:24:18,119 --> 00:24:20,680 Speaker 1: seven point three deer for square mile, And we start 455 00:24:20,800 --> 00:24:23,800 Speaker 1: arguing because the wild pre engineer are tough to count, 456 00:24:24,400 --> 00:24:28,240 Speaker 1: we can get really accurate estimates that almost never a 457 00:24:28,440 --> 00:24:32,480 Speaker 1: census on exact population count. So as I've matured in 458 00:24:32,520 --> 00:24:36,000 Speaker 1: my career, how were less and less about how many 459 00:24:36,000 --> 00:24:39,080 Speaker 1: deer or per square mile and more about how much 460 00:24:39,160 --> 00:24:41,960 Speaker 1: quality food risk for square mile? And this is a 461 00:24:42,119 --> 00:24:46,240 Speaker 1: very simple thing for people to evaluate and keep annual records. 462 00:24:46,280 --> 00:24:48,160 Speaker 1: While I'm noticing a lot of brows on sweet gum, 463 00:24:48,240 --> 00:24:51,359 Speaker 1: I gotta harvest some deer or man, I've seen a 464 00:24:51,400 --> 00:24:54,600 Speaker 1: lot of native plants that I know dear like to 465 00:24:54,640 --> 00:24:57,920 Speaker 1: eat and are surviving, the reproducing, the making seed. The 466 00:24:58,000 --> 00:25:00,600 Speaker 1: deer not over browsing them. I believe get back off 467 00:25:00,680 --> 00:25:03,639 Speaker 1: my dough harvest allowed her to be more deer in 468 00:25:03,720 --> 00:25:08,600 Speaker 1: the area. Take that up. Whatnot? Camera surveys are relatively 469 00:25:08,720 --> 00:25:11,760 Speaker 1: simple to do. There's plenty of troup cameras out there. 470 00:25:11,880 --> 00:25:13,959 Speaker 1: Even if you're a small property owner working on two 471 00:25:14,040 --> 00:25:16,720 Speaker 1: or three neighbors, and you can get a pretty accurate 472 00:25:16,840 --> 00:25:21,879 Speaker 1: estimate of your sex ratio, the age structure of your bucks, 473 00:25:21,920 --> 00:25:24,960 Speaker 1: and the deer for square minds, that data may or 474 00:25:25,040 --> 00:25:27,760 Speaker 1: may not be necessary to manage to herd. But if 475 00:25:27,800 --> 00:25:30,400 Speaker 1: you come to a challenge, well, you know, the state 476 00:25:30,480 --> 00:25:33,600 Speaker 1: says or some animal white group says whatever. Now you 477 00:25:33,640 --> 00:25:38,240 Speaker 1: have hard and fast data you can use lasting like 478 00:25:38,400 --> 00:25:43,320 Speaker 1: say that doesn't lie the body weights averaged over time. 479 00:25:44,160 --> 00:25:46,880 Speaker 1: So we know pretty much. You know, a yearling dough 480 00:25:46,960 --> 00:25:49,160 Speaker 1: needs to weigh this and the hardwood force, and it's 481 00:25:49,160 --> 00:25:52,200 Speaker 1: gonna weigh adapt plus twenty pounds in an agricultural area. 482 00:25:52,640 --> 00:25:54,800 Speaker 1: And sure bucks are gonna wait this and a hardwood 483 00:25:54,840 --> 00:25:58,160 Speaker 1: force and they're gonna wait x plus in an agricultural area. 484 00:25:58,760 --> 00:26:01,960 Speaker 1: And if your body weights are trending up, it's probably 485 00:26:01,960 --> 00:26:03,440 Speaker 1: to have some more to do out there. You're losing 486 00:26:03,480 --> 00:26:06,160 Speaker 1: dear somehow, or to have a tast improving, or something's 487 00:26:06,200 --> 00:26:08,800 Speaker 1: going on. If your body weights you're training down over 488 00:26:08,840 --> 00:26:10,959 Speaker 1: a period of two or three years, I should need 489 00:26:10,960 --> 00:26:17,359 Speaker 1: to figure out what's going on there. So so I 490 00:26:17,359 --> 00:26:21,320 Speaker 1: don't I don't own property, and I'm in no way 491 00:26:21,359 --> 00:26:26,879 Speaker 1: a scientist. I guess, how what are some specific things 492 00:26:26,960 --> 00:26:29,119 Speaker 1: that a guy like myself, who the only way I 493 00:26:29,200 --> 00:26:31,760 Speaker 1: can hunt is have permission on somebody else's property or 494 00:26:31,840 --> 00:26:34,919 Speaker 1: public land. How how do how would I go about 495 00:26:35,200 --> 00:26:40,160 Speaker 1: knowing that a particular crop is not as abundant, or 496 00:26:40,200 --> 00:26:43,040 Speaker 1: a particular like the acorns didn't drop, or there's a 497 00:26:43,080 --> 00:26:46,840 Speaker 1: certain foliage that wasn't getting um nibbled on because I, 498 00:26:47,080 --> 00:26:50,040 Speaker 1: you know, over the years, I haven't really paid attention 499 00:26:50,080 --> 00:26:54,359 Speaker 1: to it. Yeah, So again it's just pretty simple observational skills. 500 00:26:54,400 --> 00:26:58,240 Speaker 1: So you're on public land, its managed for old rage trees, 501 00:26:58,280 --> 00:27:01,240 Speaker 1: and there's a clothes canopy, and you happen to notice 502 00:27:01,240 --> 00:27:04,320 Speaker 1: that ever maple limb that's on the ground after a windstorm, 503 00:27:04,400 --> 00:27:06,240 Speaker 1: the bark is dripped off the next day and there's 504 00:27:06,240 --> 00:27:09,880 Speaker 1: no leaves. There's too dear, they're wiped on that soon 505 00:27:09,880 --> 00:27:13,240 Speaker 1: as it hits the ground. You're just really simple. If 506 00:27:13,280 --> 00:27:16,000 Speaker 1: deer are hustling that hard to make a living, there's 507 00:27:16,040 --> 00:27:18,280 Speaker 1: too many deer and it's not just that there's not 508 00:27:18,400 --> 00:27:21,440 Speaker 1: enough food. Many of the parasites that really impact dear 509 00:27:22,080 --> 00:27:26,040 Speaker 1: their life cycle is they're they're on the vegetation to 510 00:27:26,200 --> 00:27:29,399 Speaker 1: a worm or whatever have you, and the deer eat it. 511 00:27:29,440 --> 00:27:32,080 Speaker 1: And the closer there eating to the ground, the more 512 00:27:32,200 --> 00:27:35,880 Speaker 1: those parasites they ingest. So there's a prime example, there's 513 00:27:36,080 --> 00:27:39,040 Speaker 1: an avalancial worm or worm that's big enough you can see, 514 00:27:39,640 --> 00:27:42,199 Speaker 1: and it happens to collect in the second chamber of 515 00:27:42,200 --> 00:27:44,600 Speaker 1: a deer stomach. Deer have don't have four stomaches like 516 00:27:44,640 --> 00:27:47,159 Speaker 1: people often say, they have one stomach with four chambers. 517 00:27:47,880 --> 00:27:50,000 Speaker 1: And so we know and we cut into that second 518 00:27:50,040 --> 00:27:53,600 Speaker 1: chamber to stomach. If there's five hundred or fewer of 519 00:27:53,680 --> 00:27:57,280 Speaker 1: this particular type of stomach worm, then there's quality more 520 00:27:57,320 --> 00:27:58,919 Speaker 1: food than there's deer. They're just like getting a very 521 00:27:58,960 --> 00:28:00,440 Speaker 1: big load of the quality. You have a few of 522 00:28:00,480 --> 00:28:03,240 Speaker 1: these ones and near hunter system still, and there's about 523 00:28:03,280 --> 00:28:05,879 Speaker 1: five hundred to fifteen hundred, it's probably about the right 524 00:28:05,920 --> 00:28:08,919 Speaker 1: amount of deer for the right amount of food. But 525 00:28:08,960 --> 00:28:11,399 Speaker 1: if there's over fifteen hundred, there's no magic. It's not 526 00:28:11,480 --> 00:28:13,320 Speaker 1: like fifteen no long. But you know, you've got eighteen 527 00:28:13,400 --> 00:28:17,280 Speaker 1: hundred or those deer eating so close to the ground 528 00:28:17,640 --> 00:28:21,800 Speaker 1: that they're ingesting the larvae of these particular parasites, and 529 00:28:21,840 --> 00:28:24,399 Speaker 1: there's just too many deers they're eating too close to 530 00:28:24,440 --> 00:28:28,160 Speaker 1: the ground. So there's very specific measures, but muscles, as 531 00:28:28,200 --> 00:28:31,000 Speaker 1: you said, need the scientists or a landlord spree trained 532 00:28:31,000 --> 00:28:34,600 Speaker 1: in doing that. The simpler and just as accurate as 533 00:28:34,640 --> 00:28:38,600 Speaker 1: I've matured. Way is whatever the preferred food is near area, 534 00:28:38,720 --> 00:28:41,760 Speaker 1: maybe it's wild strawberries, and maybe it's maple limb. Just 535 00:28:41,800 --> 00:28:44,720 Speaker 1: you know where you are, it's poison ivy, And some 536 00:28:44,840 --> 00:28:47,120 Speaker 1: areas believe or not, poison ivy is great deer brows. 537 00:28:47,160 --> 00:28:49,200 Speaker 1: And if you're walking through the woods, and every poison 538 00:28:49,240 --> 00:28:51,640 Speaker 1: I believe it's five ft high or higher on a 539 00:28:51,720 --> 00:28:54,480 Speaker 1: tree and blows that the deer brows it off. You've 540 00:28:54,520 --> 00:28:58,680 Speaker 1: got too many deer and and so everyone asks how 541 00:28:58,720 --> 00:29:01,400 Speaker 1: many sere deer? Well in the clothes canopy, you know, 542 00:29:01,520 --> 00:29:04,080 Speaker 1: old grow forest, it maybe ten deer for square mile 543 00:29:04,800 --> 00:29:08,000 Speaker 1: in Iowa where there's soybeans everywhere, and maybe a hundred 544 00:29:08,000 --> 00:29:11,480 Speaker 1: and fifty deer for square mile. It depends on the 545 00:29:11,520 --> 00:29:15,760 Speaker 1: type of habitat where you are. So my land in 546 00:29:15,800 --> 00:29:17,720 Speaker 1: Sell then Missouri's in the middle of a big old 547 00:29:17,760 --> 00:29:22,000 Speaker 1: clothes cannot be forced and fescue pasture, no agg anywhere around. 548 00:29:22,080 --> 00:29:24,680 Speaker 1: You never see. There's no such thing as a combine 549 00:29:24,760 --> 00:29:26,320 Speaker 1: or anything like that in the county. I live in 550 00:29:27,040 --> 00:29:29,840 Speaker 1: green drills going down the road, no silos, and none 551 00:29:29,840 --> 00:29:32,760 Speaker 1: of that exists. But a mile land we have through 552 00:29:32,760 --> 00:29:34,560 Speaker 1: the plots and we line them for lives and we 553 00:29:34,600 --> 00:29:36,400 Speaker 1: do good work, and you know, and we do some 554 00:29:36,480 --> 00:29:39,840 Speaker 1: prescribed fire and stuff. And I carry about a hundred 555 00:29:39,880 --> 00:29:43,200 Speaker 1: deer per square mile and very healthy deer, very very 556 00:29:43,200 --> 00:29:46,080 Speaker 1: healthy deer. Anywhere else who sell them Missouri, except for 557 00:29:46,120 --> 00:29:48,240 Speaker 1: other type of landowners are kind of doing the same thing. 558 00:29:48,760 --> 00:29:50,960 Speaker 1: Thirty deer for square mile would be too many. There's 559 00:29:51,000 --> 00:29:54,160 Speaker 1: just not enough food for it. So again, you know, 560 00:29:54,320 --> 00:29:56,320 Speaker 1: if and I'm not saying dood, but let's say Missouri 561 00:29:56,400 --> 00:29:58,960 Speaker 1: Primary Conservation just makes a general rule for all the 562 00:29:59,040 --> 00:30:02,400 Speaker 1: o's art mountains, well, you can't ont harvest doze and 563 00:30:02,400 --> 00:30:04,720 Speaker 1: blah blah blah, gosh, I couldn't manage my dear or 564 00:30:04,800 --> 00:30:08,000 Speaker 1: I have no legal way and kill enough there. And 565 00:30:08,080 --> 00:30:13,200 Speaker 1: that's where site specific land management is so important. And 566 00:30:13,200 --> 00:30:16,040 Speaker 1: and the sixteen states that have this DM program have 567 00:30:16,160 --> 00:30:18,480 Speaker 1: proven this, and so many states have that DMA for 568 00:30:18,560 --> 00:30:22,440 Speaker 1: over twenty years. This is nothing new. So kind of 569 00:30:22,520 --> 00:30:27,120 Speaker 1: rounding that segment out. One of my biggest frustrations with 570 00:30:28,480 --> 00:30:32,200 Speaker 1: deer management, especially from an agency point of view, it's 571 00:30:32,360 --> 00:30:35,520 Speaker 1: failing to look across the border, and they always want 572 00:30:35,520 --> 00:30:38,040 Speaker 1: to reinvent the will well We've got to study this 573 00:30:38,120 --> 00:30:40,200 Speaker 1: for ten years and see what we need to do. No, 574 00:30:40,360 --> 00:30:43,680 Speaker 1: you don't. There's a state that's already tried that and 575 00:30:43,680 --> 00:30:46,160 Speaker 1: and and done that and figured out if it works 576 00:30:46,240 --> 00:30:47,400 Speaker 1: or if it does the work and if you need 577 00:30:47,440 --> 00:30:51,000 Speaker 1: to tweak it. Failing to learn from other states for 578 00:30:51,160 --> 00:30:56,800 Speaker 1: other agencies is a huge, huge sin, I believe on 579 00:30:56,920 --> 00:31:03,040 Speaker 1: some agencies. Park. So I'm feeling here, you know, from 580 00:31:03,040 --> 00:31:06,560 Speaker 1: a from me and Dan on the ground or whoever's 581 00:31:06,600 --> 00:31:07,959 Speaker 1: on the ground, I think at the big takeaway here 582 00:31:07,960 --> 00:31:09,960 Speaker 1: that I'm taking from, We've had a lot of things here, 583 00:31:09,960 --> 00:31:12,280 Speaker 1: But if I had to take one or two things 584 00:31:12,320 --> 00:31:15,160 Speaker 1: away from this, it sounds like, basically from the standpoint 585 00:31:15,160 --> 00:31:18,080 Speaker 1: from the responsibility of of the hunter, you know, we 586 00:31:18,160 --> 00:31:21,320 Speaker 1: need to become more more observant of what's going on 587 00:31:21,320 --> 00:31:23,040 Speaker 1: around us, because you know, to Dan's point, you know, 588 00:31:23,080 --> 00:31:25,320 Speaker 1: to this point, he hasn't necessarily been paying attention to 589 00:31:25,400 --> 00:31:27,800 Speaker 1: what's been browsed on or are these different things that 590 00:31:27,880 --> 00:31:30,520 Speaker 1: might be indicators. But really, given some of these things 591 00:31:30,520 --> 00:31:32,840 Speaker 1: happen and giving some of those challenges, really it would 592 00:31:32,840 --> 00:31:35,680 Speaker 1: be you know, beneficial for all of us individual hunters, 593 00:31:35,960 --> 00:31:38,400 Speaker 1: landowners or public landhunters or whoever it might be, to 594 00:31:38,440 --> 00:31:41,680 Speaker 1: start taking that responsibility of you know, observing what's happening 595 00:31:41,680 --> 00:31:43,880 Speaker 1: around and starting to pay attention to things like brows 596 00:31:43,880 --> 00:31:45,240 Speaker 1: and whether that might be a good thing or a 597 00:31:45,280 --> 00:31:47,000 Speaker 1: bad thing, and what that means for for how we 598 00:31:47,000 --> 00:31:49,160 Speaker 1: should harvest, or you know, taking the next step to 599 00:31:49,200 --> 00:31:50,920 Speaker 1: what you point out, Grant, being you know, try and 600 00:31:51,000 --> 00:31:53,719 Speaker 1: trail camera survey. Um. You know, we need to start 601 00:31:54,120 --> 00:31:56,520 Speaker 1: taking some of those things into our own hands versus 602 00:31:56,560 --> 00:31:58,800 Speaker 1: just depending on our state to say, hey, kill this 603 00:31:58,840 --> 00:32:01,280 Speaker 1: many dear, because to your point, Grant, you know, what 604 00:32:01,360 --> 00:32:03,600 Speaker 1: they say at the state level or even county level 605 00:32:03,880 --> 00:32:07,560 Speaker 1: just might not be relevant to our individual peace yep. 606 00:32:07,960 --> 00:32:10,640 Speaker 1: So so let stow all the way back first conversation. 607 00:32:10,680 --> 00:32:13,240 Speaker 1: You know, when we first restored deer and had deer seasons, 608 00:32:13,360 --> 00:32:17,840 Speaker 1: we had just restored deer, so nowhere was overpopulated and 609 00:32:17,880 --> 00:32:20,400 Speaker 1: the plants that natyve veg station or crops had not 610 00:32:20,520 --> 00:32:23,040 Speaker 1: been over browsed by deers. So there's plenty of ice 611 00:32:23,080 --> 00:32:27,920 Speaker 1: cream quality native plants everywhere they restored dere Right, We've 612 00:32:27,920 --> 00:32:30,720 Speaker 1: had deer restored in most are is fifty plus years 613 00:32:30,720 --> 00:32:33,520 Speaker 1: now a lot of those plants are gone dear populations 614 00:32:33,560 --> 00:32:35,440 Speaker 1: got too high back in the eighties and nineties, they 615 00:32:35,520 --> 00:32:39,320 Speaker 1: wipe them out. They are literally gone. And so hunters 616 00:32:39,320 --> 00:32:42,160 Speaker 1: at first didn't have to be naturalists or observing plants 617 00:32:42,240 --> 00:32:44,040 Speaker 1: or brows because there we're just dear, We're just your deer. 618 00:32:44,600 --> 00:32:47,719 Speaker 1: Of course you's food there. That's not the case anymore. 619 00:32:47,760 --> 00:32:51,239 Speaker 1: The game has changed. And just like we don't use 620 00:32:51,360 --> 00:32:54,800 Speaker 1: rotary dial phones, if we just go out and set 621 00:32:54,840 --> 00:32:57,240 Speaker 1: and say, boy's your hope for deer watched by? And 622 00:32:57,320 --> 00:33:00,160 Speaker 1: everyone has that mentality, no doubt about it. Do you 623 00:33:00,200 --> 00:33:06,520 Speaker 1: here in America are in big, big trouble? Yeah, So 624 00:33:06,520 --> 00:33:08,560 Speaker 1: so moving on, I think from that, then, you know, 625 00:33:08,640 --> 00:33:12,000 Speaker 1: we've talked about how to assess if there's you know, 626 00:33:12,360 --> 00:33:14,160 Speaker 1: if your white tail herd is healthy or if it 627 00:33:14,200 --> 00:33:16,800 Speaker 1: stands and where it needs to be. Uh, let's talk 628 00:33:16,800 --> 00:33:18,640 Speaker 1: about some of the challenges. And then you know, if 629 00:33:18,720 --> 00:33:20,560 Speaker 1: if we do take a look at this assessment on 630 00:33:20,600 --> 00:33:22,480 Speaker 1: our property and I'm saying, okay, it looks like my 631 00:33:22,560 --> 00:33:25,440 Speaker 1: population is not where it needs to be. Um, you know, 632 00:33:25,720 --> 00:33:28,080 Speaker 1: there's a handful of different typical challenges that we see 633 00:33:28,080 --> 00:33:30,200 Speaker 1: that might be you know, what's causing that. So I'm 634 00:33:30,240 --> 00:33:32,960 Speaker 1: curious from your standpoint, Graham, maybe I'll give you a 635 00:33:32,960 --> 00:33:34,840 Speaker 1: couple of these different options. I'd like to hear your 636 00:33:34,840 --> 00:33:38,240 Speaker 1: perspective on if this happened in your situation, how do 637 00:33:38,280 --> 00:33:42,320 Speaker 1: you handle it. So, let's say example number one. One 638 00:33:42,320 --> 00:33:44,320 Speaker 1: of the typical things that we've seen across a lot 639 00:33:44,320 --> 00:33:46,360 Speaker 1: of states over the past couple of years, especially back 640 00:33:46,360 --> 00:33:50,600 Speaker 1: in two thousand twelve, was disease outbreak outbreak e h D. 641 00:33:51,040 --> 00:33:53,800 Speaker 1: So let's say we are assessing our local herd. We 642 00:33:53,920 --> 00:33:56,720 Speaker 1: see it's down, and we believe it's because of disease outbreak, 643 00:33:57,200 --> 00:33:59,920 Speaker 1: maybe a bad hit the last summer. What if any 644 00:34:00,040 --> 00:34:02,440 Speaker 1: thing can a land on or do on their own 645 00:34:02,480 --> 00:34:05,160 Speaker 1: ground or with their own behavior and hunting tactics, what 646 00:34:05,200 --> 00:34:07,520 Speaker 1: can they do to help that herd um get back 647 00:34:07,520 --> 00:34:11,040 Speaker 1: to healthy level. Yeah, So at my property in two 648 00:34:11,080 --> 00:34:13,120 Speaker 1: thousand and twelve, we lost about a third of the 649 00:34:13,160 --> 00:34:16,440 Speaker 1: standing deer crofts with HD hemor radget disease, which is 650 00:34:16,480 --> 00:34:19,120 Speaker 1: totally different than to c w D chronic wasting disease. 651 00:34:19,160 --> 00:34:21,920 Speaker 1: A lot it's infusion about that still, and we do 652 00:34:22,040 --> 00:34:25,719 Speaker 1: intensive camera surveys and and and so it's a year 653 00:34:25,880 --> 00:34:27,759 Speaker 1: HD hit in my part of the world. We do 654 00:34:27,800 --> 00:34:30,080 Speaker 1: our camera survey every August, and it didn't really hit 655 00:34:30,200 --> 00:34:33,200 Speaker 1: to late August September, so that survey didn't pick it up, 656 00:34:33,760 --> 00:34:35,800 Speaker 1: and we could have not evenly win in that season, 657 00:34:35,880 --> 00:34:38,040 Speaker 1: said guys, we need to kill fifteen deer about deer 658 00:34:38,040 --> 00:34:40,800 Speaker 1: for hunter acres or so does and we would have 659 00:34:40,880 --> 00:34:43,399 Speaker 1: really heard our herd because we lost. In hindsight, looking 660 00:34:43,440 --> 00:34:45,680 Speaker 1: back in the next year's camera survey, we lost about 661 00:34:45,680 --> 00:34:48,560 Speaker 1: a third of our herd the HD hymmeor radjet CIEs 662 00:34:48,600 --> 00:34:52,359 Speaker 1: one third bloom gone. And but because we're out hunting 663 00:34:52,400 --> 00:34:55,160 Speaker 1: the property and were observant and we're watching for vultures 664 00:34:55,200 --> 00:34:57,480 Speaker 1: and you know stuff all the time, we started to 665 00:34:57,520 --> 00:34:59,480 Speaker 1: pick it up dead deer by creating some ponds. And 666 00:34:59,480 --> 00:35:01,120 Speaker 1: I said, well, this isn't good. I don't know how 667 00:35:01,160 --> 00:35:05,200 Speaker 1: Stincy this is seasons or he goes from September fifteenth 668 00:35:05,280 --> 00:35:09,160 Speaker 1: to January, let's don harvest. They does. We kind of 669 00:35:09,160 --> 00:35:11,960 Speaker 1: get in October so November and kind of see where 670 00:35:11,960 --> 00:35:14,640 Speaker 1: this disease is going this year, and sure enough it 671 00:35:14,760 --> 00:35:17,040 Speaker 1: was a really bad case and we just held off 672 00:35:17,040 --> 00:35:19,920 Speaker 1: the dough harvest and then the next year had a 673 00:35:20,040 --> 00:35:22,279 Speaker 1: really low level doll harvest and in two years we're 674 00:35:22,400 --> 00:35:26,200 Speaker 1: right back up the hundred deer square mile. So some 675 00:35:26,880 --> 00:35:30,400 Speaker 1: times landowners may be absent key landowners, they live a 676 00:35:30,480 --> 00:35:32,120 Speaker 1: state away and they may not be able to be 677 00:35:32,200 --> 00:35:36,360 Speaker 1: there watching this unfold. But someone their neighbors are, or 678 00:35:36,480 --> 00:35:40,279 Speaker 1: something is. And this is where a solutionist is is 679 00:35:40,440 --> 00:35:43,880 Speaker 1: deer management co ops or neighborhood co ops because someone's 680 00:35:43,880 --> 00:35:46,440 Speaker 1: out there on the land, someone's walking their top fields 681 00:35:46,520 --> 00:35:49,279 Speaker 1: or checking a trap line or doing something and they're 682 00:35:49,320 --> 00:35:52,200 Speaker 1: picking up these indicators or signs said, well, this isn't right. 683 00:35:52,239 --> 00:35:54,440 Speaker 1: I found three dead beer by the creek. That's just 684 00:35:54,560 --> 00:35:56,319 Speaker 1: not normal. We need to we need to get down 685 00:35:56,360 --> 00:35:58,960 Speaker 1: the Wasson Creek Saturday. Everybody needs to walk from all 686 00:35:59,000 --> 00:36:01,560 Speaker 1: the creek Saturday and see what they find. And that 687 00:36:01,800 --> 00:36:05,160 Speaker 1: localized level. Like in Missouri, at first, the agency was 688 00:36:05,200 --> 00:36:07,960 Speaker 1: staying on not picking on missourige just have lived here. Yeah, 689 00:36:08,000 --> 00:36:09,600 Speaker 1: you know, h D is not a big deal into 690 00:36:09,600 --> 00:36:12,400 Speaker 1: this before in two thousand twelve was unequivalently the worst 691 00:36:12,440 --> 00:36:15,520 Speaker 1: outbreak of HD on the record throughout most of the 692 00:36:15,560 --> 00:36:18,960 Speaker 1: Missouri And you know they're talking at first, well we 693 00:36:19,000 --> 00:36:20,960 Speaker 1: had maybe thousands or died or whatever. El shoot. I 694 00:36:21,000 --> 00:36:23,600 Speaker 1: had individual appliance or farms that we're finding three hundred 695 00:36:23,680 --> 00:36:27,120 Speaker 1: deer dead on one farm, and you know, so it 696 00:36:27,320 --> 00:36:30,000 Speaker 1: was masked. It was tens of thousands of deer across 697 00:36:30,040 --> 00:36:33,360 Speaker 1: the state literally, but the agency wasn't picking up on 698 00:36:33,400 --> 00:36:36,600 Speaker 1: that like a landlord can who's out there checking his cows, 699 00:36:36,640 --> 00:36:39,960 Speaker 1: checking his crops, just hyping with his family on recreational land, 700 00:36:40,000 --> 00:36:43,160 Speaker 1: whatever it is. And so that responsiveness. You're finding a 701 00:36:43,200 --> 00:36:46,400 Speaker 1: bunch of dead deer, you just know intuitively, we got 702 00:36:46,480 --> 00:36:48,520 Speaker 1: to back off the doe harvest. We don't have the 703 00:36:48,600 --> 00:36:51,799 Speaker 1: many reproductive units out there's were used to happen. And 704 00:36:51,840 --> 00:36:54,239 Speaker 1: if you go ahead and have h D and push 705 00:36:54,320 --> 00:36:56,840 Speaker 1: for your normal dough harvest, and what happened in Missouri 706 00:36:57,280 --> 00:37:00,279 Speaker 1: at a bad outbreak of HD, and that's stay mire. 707 00:37:00,640 --> 00:37:04,040 Speaker 1: We had an acorn crop failure, so deer out any 708 00:37:04,120 --> 00:37:07,560 Speaker 1: opening trying to find brows and very susceptible to harvest too. 709 00:37:07,680 --> 00:37:10,359 Speaker 1: If you hunt an acorn area, your deer herd will 710 00:37:10,360 --> 00:37:13,560 Speaker 1: be driven by acorns, either in the timber hard to 711 00:37:13,880 --> 00:37:15,720 Speaker 1: hunt or out in the open. If there's no acorns, 712 00:37:15,760 --> 00:37:18,279 Speaker 1: that's the drive, that's the driving factor of harvest. Above 713 00:37:18,360 --> 00:37:22,080 Speaker 1: and beyond everything else, that's the harvest factor. And if 714 00:37:22,080 --> 00:37:24,719 Speaker 1: you're not in tune of that, which the agency really wanted, 715 00:37:24,800 --> 00:37:27,000 Speaker 1: no way to predict it. So we had a big 716 00:37:27,040 --> 00:37:29,839 Speaker 1: harvest on top of a big outbreak because all the 717 00:37:29,840 --> 00:37:32,239 Speaker 1: deer that we're still alive and remaining rout the know 718 00:37:32,400 --> 00:37:34,320 Speaker 1: the past, you are being field or something, trying to 719 00:37:34,360 --> 00:37:37,279 Speaker 1: find something to eat, and so they probably overshot their 720 00:37:37,320 --> 00:37:39,480 Speaker 1: harvest and it's gonna take an extra two a year 721 00:37:39,560 --> 00:37:41,719 Speaker 1: or two longer for some land owners to recover that 722 00:37:41,719 --> 00:37:45,120 Speaker 1: deer herd. So again, just being tuned in and you're 723 00:37:45,160 --> 00:37:47,120 Speaker 1: hearing this over and over and everyone wants the more, 724 00:37:47,360 --> 00:37:49,239 Speaker 1: you know, an answer, I need to push this button 725 00:37:49,360 --> 00:37:53,440 Speaker 1: like computer, this camera survey. But being tuned in and 726 00:37:53,480 --> 00:37:55,920 Speaker 1: knowing that local deer herd and maybe not you is 727 00:37:56,000 --> 00:37:59,400 Speaker 1: so responsibility. But the neighborhood deer co op or what 728 00:37:59,600 --> 00:38:02,560 Speaker 1: kept going on. I'm a huge fan of neighborhood deer 729 00:38:02,560 --> 00:38:04,560 Speaker 1: co ops because you've got so many eyes and ears 730 00:38:05,200 --> 00:38:08,680 Speaker 1: watching for advanced betator action or poaching or whatever's going on. 731 00:38:09,440 --> 00:38:12,319 Speaker 1: And it's just to ops of the true word of 732 00:38:12,320 --> 00:38:15,279 Speaker 1: co op, of volunteering, no money changing hand, just neighborhood 733 00:38:15,280 --> 00:38:19,600 Speaker 1: co op is an extremely powerful tool, extremely powerful tool 734 00:38:21,040 --> 00:38:23,840 Speaker 1: on disease outbreaks. Yeah, you've gotta be keyed into it. 735 00:38:24,000 --> 00:38:27,680 Speaker 1: The disease c w D. It's a real sleeper. It 736 00:38:27,719 --> 00:38:30,440 Speaker 1: doesn't expose itself like HD. You know everything's fine. A 737 00:38:30,480 --> 00:38:31,880 Speaker 1: month later you're finding a dead deer and you know 738 00:38:31,920 --> 00:38:34,760 Speaker 1: you've got a problem. C w D is slow acting. 739 00:38:35,280 --> 00:38:37,800 Speaker 1: Deer can carry it for three or four years afore 740 00:38:37,880 --> 00:38:40,839 Speaker 1: they show the symptoms or signs, and that's a whole 741 00:38:40,840 --> 00:38:45,359 Speaker 1: different follow laps HSD. There's nothing you can do about 742 00:38:45,360 --> 00:38:48,000 Speaker 1: it except reduced to harvest afterwards, like the deer population 743 00:38:48,040 --> 00:38:53,239 Speaker 1: build backed up and buil again. I have I have 744 00:38:53,280 --> 00:38:56,000 Speaker 1: a kind of a hypothetical question for you. Alright, so 745 00:38:56,680 --> 00:38:58,959 Speaker 1: I have money to go ahead and buy a piece 746 00:38:58,960 --> 00:39:03,000 Speaker 1: of property that has ever before been um managed for deer, 747 00:39:04,000 --> 00:39:07,719 Speaker 1: it has it has population A let's say, So what 748 00:39:07,800 --> 00:39:11,200 Speaker 1: I do is I go in, I plant food plots, 749 00:39:11,360 --> 00:39:15,640 Speaker 1: I create more cover, and I now have a property 750 00:39:15,680 --> 00:39:20,920 Speaker 1: that can hold, you know, healthily hold more dear mhm. 751 00:39:21,880 --> 00:39:26,240 Speaker 1: How does how does population and disease kind of work 752 00:39:26,280 --> 00:39:29,000 Speaker 1: hand in hand? I mean, is it good that I 753 00:39:29,239 --> 00:39:32,279 Speaker 1: increased my property to to or better my property to 754 00:39:32,320 --> 00:39:35,640 Speaker 1: hold more dear, But does that higher population then cause 755 00:39:35,760 --> 00:39:40,920 Speaker 1: for a higher risk of disease? No, so again we'll 756 00:39:40,960 --> 00:39:44,200 Speaker 1: go back. No, No, so again. It's it's all about 757 00:39:44,320 --> 00:39:47,719 Speaker 1: quality to habitat and having the appropriate number dear for 758 00:39:47,760 --> 00:39:51,360 Speaker 1: that quality habitat. So no problem. In agg country, you know, 759 00:39:51,440 --> 00:39:53,600 Speaker 1: there's a lot of beans, but a pretty good mixtic cover. 760 00:39:54,160 --> 00:39:56,520 Speaker 1: Holding a hundred and fifty literally two hundred deer for 761 00:39:56,600 --> 00:39:58,880 Speaker 1: square a mile and having very healthy deer doing a 762 00:39:58,880 --> 00:40:01,360 Speaker 1: lot of wooden CROs gets is having twins all that stuff. 763 00:40:01,840 --> 00:40:05,200 Speaker 1: Because there's so much food in a forty acre being filled, 764 00:40:05,719 --> 00:40:09,440 Speaker 1: it would literally take thousands upon thousands up hear me correctly, 765 00:40:09,640 --> 00:40:12,719 Speaker 1: thousands of acres of a hardwood forest to make the 766 00:40:12,760 --> 00:40:15,080 Speaker 1: same amount of food. High quality food is a forty 767 00:40:15,080 --> 00:40:20,040 Speaker 1: acre bean filled. So more dear doesn't tell me anything 768 00:40:20,719 --> 00:40:24,200 Speaker 1: more dear and low quality habitat. Body weights are dropping, 769 00:40:24,200 --> 00:40:27,040 Speaker 1: and remember really simple thing to measures body weights dropping, 770 00:40:27,760 --> 00:40:31,480 Speaker 1: body weights dropping blow, average antler size dropping blow, average 771 00:40:31,920 --> 00:40:34,839 Speaker 1: number of funds dropping blow average, I said, tell tell 772 00:40:34,960 --> 00:40:40,160 Speaker 1: signs that deer distressed, not healthy and more susceptible to parasites. 773 00:40:40,239 --> 00:40:44,040 Speaker 1: We use disease a lot, but Guyster's infinitely more problems 774 00:40:44,080 --> 00:40:47,680 Speaker 1: with parasites. Parasites are each factor, but they're microscopic. A 775 00:40:47,719 --> 00:40:50,440 Speaker 1: lot of them tough to see, and totty much go 776 00:40:50,600 --> 00:40:53,719 Speaker 1: unnoticed by hunters and even a lot of managers. So 777 00:40:54,400 --> 00:40:58,080 Speaker 1: you've improved that property and the deer heard improves, you 778 00:40:58,160 --> 00:41:01,799 Speaker 1: probably have the exact same health. And I said, dear, 779 00:41:01,800 --> 00:41:04,879 Speaker 1: it improved in increases. So you go from just hypothetically 780 00:41:05,280 --> 00:41:09,120 Speaker 1: ten deerer square mile the twenty deer square mile, but 781 00:41:09,280 --> 00:41:12,319 Speaker 1: you doubled the quality of property. It's all the same. 782 00:41:13,280 --> 00:41:18,400 Speaker 1: There's no more stress if you improve the property. But 783 00:41:18,480 --> 00:41:21,480 Speaker 1: if you keep the deer hummers down at ten deer scroom, mind, 784 00:41:21,520 --> 00:41:24,760 Speaker 1: you're gonna grow a lot bigger, dear, Or you improved 785 00:41:24,760 --> 00:41:28,120 Speaker 1: it properly little, but you let the dear herd grow fourfold, 786 00:41:28,400 --> 00:41:30,319 Speaker 1: even though you did some improvements to staining, a couple 787 00:41:30,320 --> 00:41:33,080 Speaker 1: of food plots, maybe made upon but the deer it 788 00:41:33,120 --> 00:41:37,719 Speaker 1: has now increased fourfold. Then your dear heard quality, even 789 00:41:37,719 --> 00:41:39,480 Speaker 1: though you've made some improvements, is going to be a 790 00:41:39,520 --> 00:41:43,560 Speaker 1: lot less. It's always relative to the herd quality and 791 00:41:43,600 --> 00:41:47,399 Speaker 1: habitat quality. And again that's on localized level. No way 792 00:41:47,400 --> 00:41:49,960 Speaker 1: to manage that from a one take a place in 793 00:41:49,960 --> 00:41:52,920 Speaker 1: the state. So so follow up question for your Graham. 794 00:41:53,040 --> 00:41:54,799 Speaker 1: This makes a lot of sense, you know, maintain that 795 00:41:54,880 --> 00:41:58,120 Speaker 1: balance with your herd and quality habitat and food sources 796 00:41:58,120 --> 00:42:01,080 Speaker 1: and everything. But recently, it's especially after the big two 797 00:42:01,080 --> 00:42:04,360 Speaker 1: thousand twelve outbreak of hd UM, there's been a handful 798 00:42:04,360 --> 00:42:07,960 Speaker 1: of companies supplement companies of an advertising and marketing their 799 00:42:07,960 --> 00:42:13,400 Speaker 1: products as a way to um better prepared deer to 800 00:42:13,560 --> 00:42:15,759 Speaker 1: handle or to survive and outbreak like that in the future. 801 00:42:15,800 --> 00:42:18,160 Speaker 1: That can help deer kind of weather that storm. Is 802 00:42:18,200 --> 00:42:20,560 Speaker 1: there any real scientific basis to that? I, I mean 803 00:42:20,600 --> 00:42:22,560 Speaker 1: it sounds like you to what you said earlier, if 804 00:42:22,560 --> 00:42:25,719 Speaker 1: you have quality habitat a deer, what will be possibly 805 00:42:25,800 --> 00:42:28,400 Speaker 1: you know, less susceptible. UM. Is that true when it 806 00:42:28,440 --> 00:42:33,240 Speaker 1: comes to supplementing a herd. You know, I'm not saying 807 00:42:33,440 --> 00:42:37,960 Speaker 1: no unequivocally, but I am not aware of any scientific research. 808 00:42:38,040 --> 00:42:40,760 Speaker 1: It's bad. For example, I just I don't knowing this product. 809 00:42:40,840 --> 00:42:42,319 Speaker 1: I know the I just talked about. I don't knowing 810 00:42:42,320 --> 00:42:45,080 Speaker 1: that emials products in particular what rand in. But let's 811 00:42:45,120 --> 00:42:47,279 Speaker 1: say I know some of the rumors dear need more 812 00:42:47,320 --> 00:42:51,560 Speaker 1: topper you're even more selenium. No, that's not gonna solve. 813 00:42:51,640 --> 00:42:55,399 Speaker 1: There's no magic, one magic bullet that works. There are 814 00:42:55,480 --> 00:42:57,919 Speaker 1: some areas that are low and copper, but it's peop 815 00:42:57,920 --> 00:43:01,760 Speaker 1: We're talking to parts for billion and in some areas 816 00:43:01,760 --> 00:43:03,560 Speaker 1: and maybe a little low and selenium. You're not gonna 817 00:43:03,640 --> 00:43:05,960 Speaker 1: change that, dear, just by adding that one tracement on. 818 00:43:06,160 --> 00:43:09,399 Speaker 1: Just like if you and I talk of montivitamin every day, 819 00:43:09,760 --> 00:43:11,800 Speaker 1: but we still leave McDonald's and lay on the couch 820 00:43:11,840 --> 00:43:13,719 Speaker 1: five hours a day. We're not gonna get a whole 821 00:43:13,760 --> 00:43:16,480 Speaker 1: lot healthier just because we could the multivitament. And I 822 00:43:16,560 --> 00:43:21,239 Speaker 1: do not believe that any super energized food or we've 823 00:43:21,280 --> 00:43:24,000 Speaker 1: got these new trace minerals because we've got a memorable 824 00:43:24,040 --> 00:43:26,279 Speaker 1: as here's here's a fact. And I don't want to 825 00:43:26,320 --> 00:43:30,680 Speaker 1: state this very carefully, but remember it's always a ruthless 826 00:43:30,719 --> 00:43:34,400 Speaker 1: dang of facts that murders a beautiful theory. And the 827 00:43:34,480 --> 00:43:38,240 Speaker 1: ruthless facts are the periodic table is only so big. 828 00:43:39,239 --> 00:43:42,440 Speaker 1: It doesn't get any bigger unless some scientists creates a 829 00:43:42,480 --> 00:43:45,279 Speaker 1: really super molecule gas or some lab and that has 830 00:43:45,320 --> 00:43:48,879 Speaker 1: nothing to do with dear, management and and and all 831 00:43:48,960 --> 00:43:51,400 Speaker 1: those elements on the periodic table have been studied for 832 00:43:51,520 --> 00:43:54,439 Speaker 1: quite some time now. I do not believe there's any 833 00:43:54,520 --> 00:43:57,959 Speaker 1: brand new super combination and those elements that are gonna 834 00:43:58,040 --> 00:44:01,200 Speaker 1: change dear management in any form or fashion. That's not 835 00:44:01,239 --> 00:44:04,080 Speaker 1: to say feed can't work. And supplemental feed has certainly 836 00:44:04,080 --> 00:44:07,600 Speaker 1: been proven in scientific stud used to raise body weights 837 00:44:07,640 --> 00:44:12,520 Speaker 1: down appropriately, raise antler size, raise the number of thoughts. 838 00:44:12,960 --> 00:44:15,359 Speaker 1: It's never been proven to do that more than just 839 00:44:15,400 --> 00:44:17,680 Speaker 1: good habitat. Can you gotta remember the world record deer, 840 00:44:17,760 --> 00:44:21,560 Speaker 1: most world record free ranging legitimate deer. We're not killed 841 00:44:21,560 --> 00:44:24,720 Speaker 1: with the supplemental feeder or killed us and most being filled. Beans, 842 00:44:24,800 --> 00:44:26,600 Speaker 1: by the way, are the ideal food for a white 843 00:44:26,640 --> 00:44:30,960 Speaker 1: tilt deer, and so as beans have increased it across 844 00:44:31,000 --> 00:44:34,160 Speaker 1: the landscape more. You're seeing bigger body rights and and 845 00:44:34,840 --> 00:44:39,080 Speaker 1: we've shown that Mississippi State has shown that other agencies 846 00:44:39,080 --> 00:44:41,880 Speaker 1: and are excuse the universities now working on that for 847 00:44:41,960 --> 00:44:43,960 Speaker 1: summertime for it. It's just really hard to beat a 848 00:44:44,000 --> 00:44:48,319 Speaker 1: soybean for a weather her reason. So no, I don't 849 00:44:48,360 --> 00:44:50,600 Speaker 1: think there is a magic tood. If there was, I'd 850 00:44:50,600 --> 00:44:54,000 Speaker 1: be buying a bunch of them pointed on my land. Yeah, 851 00:44:54,320 --> 00:44:58,520 Speaker 1: you and me both, um, so I guess a question 852 00:44:58,840 --> 00:45:01,360 Speaker 1: sort of moving on here, but I imagine I already 853 00:45:01,400 --> 00:45:02,960 Speaker 1: know your answer to this, but I want to just 854 00:45:03,000 --> 00:45:06,040 Speaker 1: double check. Uh. You know, we we've kind of confirmed 855 00:45:06,040 --> 00:45:07,799 Speaker 1: here when it comes to handling, you know, how do 856 00:45:07,800 --> 00:45:10,480 Speaker 1: we deal with the challenge of disease. It's really a 857 00:45:10,520 --> 00:45:14,279 Speaker 1: matter of monitoring your situation, understanding what's happening, and then 858 00:45:14,320 --> 00:45:18,439 Speaker 1: adjusting your harvest um to correspond with that. Um. Yeah, 859 00:45:18,440 --> 00:45:20,560 Speaker 1: And we're saying I'm gonna be careful because I think 860 00:45:20,560 --> 00:45:22,520 Speaker 1: when they're staying disease, what we're really saying here is 861 00:45:22,640 --> 00:45:25,160 Speaker 1: h D, because that's in the news and media image disease, 862 00:45:25,600 --> 00:45:27,719 Speaker 1: you know, vectored by a little midge or biding fly. 863 00:45:28,719 --> 00:45:30,799 Speaker 1: CPD is a whole different story. And when we come 864 00:45:30,800 --> 00:45:35,960 Speaker 1: to containing or hopefully, hopefully someday controlling CWD, I think 865 00:45:35,960 --> 00:45:40,040 Speaker 1: it's really simple. It's unequivalently shown now that moving dear 866 00:45:40,200 --> 00:45:44,680 Speaker 1: transporting deer's the fastest way for CDBDE to spread new 867 00:45:44,680 --> 00:45:49,400 Speaker 1: deer herds or across the America. And so this hurts 868 00:45:49,400 --> 00:45:53,360 Speaker 1: some people's feelings, h but we're talking about the number 869 00:45:53,440 --> 00:45:56,600 Speaker 1: one national wildlife resource. More kids in the white tailed 870 00:45:56,600 --> 00:45:58,760 Speaker 1: deered and balled eagles. This has been showing a study 871 00:45:58,800 --> 00:46:02,160 Speaker 1: after study. White kill deer is the symbol of wildlife 872 00:46:02,200 --> 00:46:06,360 Speaker 1: in America period, and it's hard for me to stomach 873 00:46:06,840 --> 00:46:10,719 Speaker 1: that we allow a few to prodress the farmers. If 874 00:46:10,760 --> 00:46:13,720 Speaker 1: you will to buy and sell beer and self seemen 875 00:46:14,080 --> 00:46:18,160 Speaker 1: at the risk and the very over tangible risk of 876 00:46:18,239 --> 00:46:22,919 Speaker 1: destroying the most valuable natural resource, to white killed deer 877 00:46:23,000 --> 00:46:25,840 Speaker 1: we have on this continent, it's hard for me to 878 00:46:25,840 --> 00:46:28,279 Speaker 1: stomach that. So if I was deers are, and I 879 00:46:28,320 --> 00:46:30,319 Speaker 1: don't want to be deers are. If there's such a 880 00:46:30,440 --> 00:46:32,520 Speaker 1: thing as that deers are, I don't want that job 881 00:46:32,600 --> 00:46:35,520 Speaker 1: on the field biologist. That seems pretty simple to me. 882 00:46:35,880 --> 00:46:38,560 Speaker 1: I believe I'm a strong believer in private property rights, 883 00:46:38,640 --> 00:46:41,479 Speaker 1: and I really believe this. I don't have my property fence. 884 00:46:41,520 --> 00:46:43,439 Speaker 1: But if you want to fence your property and there's 885 00:46:43,480 --> 00:46:45,799 Speaker 1: adequate habitat, you know it's not a teenagers human pender. 886 00:46:45,880 --> 00:46:48,000 Speaker 1: You know there's there's escape cover and the right number 887 00:46:48,000 --> 00:46:51,200 Speaker 1: deer and right that I could care less if you want. 888 00:46:51,360 --> 00:46:53,239 Speaker 1: You may be live in a neighborhood where most of 889 00:46:53,239 --> 00:46:55,120 Speaker 1: the dear guy young and you and your family want 890 00:46:55,160 --> 00:46:56,920 Speaker 1: to chase some four and five year old deer. And 891 00:46:57,400 --> 00:46:59,360 Speaker 1: really the only way to do that is to protect 892 00:46:59,360 --> 00:47:01,400 Speaker 1: those dear to allow to get older. And you have 893 00:47:01,440 --> 00:47:04,319 Speaker 1: adequate escape cover, you have x hundred acres or whatever 894 00:47:04,400 --> 00:47:06,360 Speaker 1: is going on. I don't have any problem with that. 895 00:47:06,440 --> 00:47:07,600 Speaker 1: I don't care if you do or don't. But the 896 00:47:07,680 --> 00:47:10,719 Speaker 1: deer don't care. They don't care anything about defense. But 897 00:47:10,800 --> 00:47:14,839 Speaker 1: when you touch it deer, do you collect seamen, you 898 00:47:15,280 --> 00:47:19,680 Speaker 1: inject chemicals into it. You're transporting that deer to another place. 899 00:47:19,920 --> 00:47:22,840 Speaker 1: This is no longer a wild deer. You've now domesticated 900 00:47:22,880 --> 00:47:26,600 Speaker 1: that animal, and you've taken away from every taxpayer in 901 00:47:26,680 --> 00:47:31,200 Speaker 1: this nation. It supports that wildlife resource. And and I 902 00:47:31,280 --> 00:47:33,920 Speaker 1: think it's very selfish for a hand, but relatively to 903 00:47:34,000 --> 00:47:37,600 Speaker 1: all the millions of hunters in America. For a few 904 00:47:37,640 --> 00:47:40,920 Speaker 1: thousand people to want to profit off bind settling the 905 00:47:41,040 --> 00:47:44,680 Speaker 1: moving deer, to jeopardize a resource that millions of people 906 00:47:44,800 --> 00:47:48,200 Speaker 1: enjoy and pay for, I just think it's wrong. So 907 00:47:48,280 --> 00:47:50,680 Speaker 1: I equate that little easy. I really don't care what 908 00:47:50,760 --> 00:47:52,399 Speaker 1: you do on your land as long as you don't 909 00:47:52,440 --> 00:47:55,640 Speaker 1: impact my land. There's all laws like this. My neighbors 910 00:47:55,719 --> 00:47:58,879 Speaker 1: legally can't put a nuclear dump on their land. They 911 00:47:58,920 --> 00:48:01,480 Speaker 1: can't even burn to ires on their land because it 912 00:48:01,520 --> 00:48:04,080 Speaker 1: impacts the air quality and the stream quality of my land. 913 00:48:04,960 --> 00:48:07,000 Speaker 1: Why do we allow people do stuff to deer that 914 00:48:07,080 --> 00:48:12,320 Speaker 1: has a known, now known, scientifically proven the impact on wild, 915 00:48:12,320 --> 00:48:14,440 Speaker 1: free ranging deer. Why do we let a handle of 916 00:48:14,480 --> 00:48:16,640 Speaker 1: people do that on their land. We don't let them 917 00:48:16,640 --> 00:48:19,359 Speaker 1: store nuclear waste. We don't even let them burn a tire. 918 00:48:20,520 --> 00:48:22,680 Speaker 1: To me, that's as cut and dry and as simple 919 00:48:22,680 --> 00:48:25,640 Speaker 1: as it could possibly be. Yeah. I like your perspective 920 00:48:25,640 --> 00:48:27,879 Speaker 1: a lot on that. I think it makes. It makes 921 00:48:27,920 --> 00:48:29,600 Speaker 1: all the sense in the world. I certainly see where 922 00:48:29,600 --> 00:48:31,279 Speaker 1: we're coming from. But man, that is one of those 923 00:48:31,280 --> 00:48:33,359 Speaker 1: topics that does get a lot of people fired up. 924 00:48:34,160 --> 00:48:37,080 Speaker 1: Oh someone's gonna call your boats now. Yeah. But my 925 00:48:37,280 --> 00:48:39,920 Speaker 1: mind is that if you touch dear, you know, and 926 00:48:40,200 --> 00:48:41,919 Speaker 1: you know, there's all kind of university of doing great 927 00:48:41,920 --> 00:48:43,919 Speaker 1: work and gratitudents and I've done it. We've got get 928 00:48:43,960 --> 00:48:47,080 Speaker 1: pistols on deer and blah blah blah blah. You're touching deer, 929 00:48:47,120 --> 00:48:50,560 Speaker 1: and you're transporting deer for so purpose a personal gain. 930 00:48:51,440 --> 00:48:53,799 Speaker 1: I think it's about as dangerous as burning tires or 931 00:48:53,800 --> 00:48:57,520 Speaker 1: having nuclear waste on your property. Yeah, I just made 932 00:48:57,520 --> 00:49:00,320 Speaker 1: a lot of people mad. Well, It's an a iportant 933 00:49:00,320 --> 00:49:03,040 Speaker 1: point to make, and I've I've dabbled and share my 934 00:49:03,040 --> 00:49:04,920 Speaker 1: opinions on that too and gotten a lot of flak 935 00:49:05,000 --> 00:49:06,680 Speaker 1: for it. But I think it's something that people really 936 00:49:06,680 --> 00:49:10,359 Speaker 1: need to be thinking about. So um. So that said, though, 937 00:49:10,440 --> 00:49:12,080 Speaker 1: I want to before we run out of time here, 938 00:49:12,120 --> 00:49:13,719 Speaker 1: I want to touch on a couple of the other 939 00:49:13,920 --> 00:49:15,759 Speaker 1: popular issues that I know a lot of people are 940 00:49:15,760 --> 00:49:18,960 Speaker 1: dealing with, um and one of those is predation. And 941 00:49:19,000 --> 00:49:20,520 Speaker 1: this is one that allot of people like to talk 942 00:49:20,520 --> 00:49:22,359 Speaker 1: about and a lot of people are concerned about, and 943 00:49:22,600 --> 00:49:26,640 Speaker 1: in some cases probably rightfully. So um, two questions for 944 00:49:26,640 --> 00:49:30,040 Speaker 1: your Graham Number one, Number one, how can you tell 945 00:49:30,080 --> 00:49:33,040 Speaker 1: if predation is a challenge for your local whiteail population? 946 00:49:33,440 --> 00:49:35,920 Speaker 1: And then number two, if it is, what do you 947 00:49:35,920 --> 00:49:40,319 Speaker 1: do about it? Yep? Not I'm an easy tale. But 948 00:49:40,360 --> 00:49:43,000 Speaker 1: you know, things, if you're dear, are so skinny as 949 00:49:43,080 --> 00:49:45,680 Speaker 1: you can barely see them. I mean, you know, you're 950 00:49:45,719 --> 00:49:47,560 Speaker 1: you're pretty good hunter, and you're kind of watching your 951 00:49:47,600 --> 00:49:50,400 Speaker 1: sin and you're doing stuff, and they're so alert you 952 00:49:50,480 --> 00:49:52,880 Speaker 1: can you just can't hardly see what you're out of 953 00:49:52,880 --> 00:49:54,920 Speaker 1: stand anymore. Then you know, and you're using pretty good 954 00:49:55,000 --> 00:49:58,760 Speaker 1: hunting techniques, and everywhere there's a crossroads on your property, 955 00:49:58,760 --> 00:50:01,120 Speaker 1: there's four piles of tiles. Scott, you probably got that 956 00:50:01,239 --> 00:50:06,520 Speaker 1: problem because kyles eat deer unequivocally that you know, young deer, fawns, 957 00:50:06,640 --> 00:50:10,200 Speaker 1: mature deer, they eat deer. That research is done Seinsfield 958 00:50:10,200 --> 00:50:12,280 Speaker 1: and proven. We don't need to argue over that anymore, 959 00:50:13,320 --> 00:50:15,680 Speaker 1: and so can we do something about it? It's it's 960 00:50:15,680 --> 00:50:17,759 Speaker 1: in not all areas have a problem. And there's a 961 00:50:17,800 --> 00:50:21,400 Speaker 1: recent study I think out of Wisconsin that really clearly 962 00:50:21,440 --> 00:50:25,759 Speaker 1: showed that in open farmland kyles don't have as big 963 00:50:25,760 --> 00:50:28,120 Speaker 1: an impact on deer as they do in timory country. 964 00:50:28,200 --> 00:50:30,680 Speaker 1: We looked all throughout the South, it's mainly piment country, 965 00:50:31,080 --> 00:50:33,960 Speaker 1: and the southern states are really getting hammered by kyos. 966 00:50:34,560 --> 00:50:36,800 Speaker 1: In the north Central Lake states up north are getting 967 00:50:36,800 --> 00:50:39,359 Speaker 1: hammered by wolves and kyleach. So there's areas where it's 968 00:50:39,360 --> 00:50:42,919 Speaker 1: it's certainly a problem. And for the bologists at say 969 00:50:42,960 --> 00:50:45,160 Speaker 1: and Mandards say, well, we just guys are here, We 970 00:50:45,280 --> 00:50:47,120 Speaker 1: just gotta produce our deer harvest, and this is a 971 00:50:47,160 --> 00:50:51,080 Speaker 1: new norm. We gotta accept it, I say, and I 972 00:50:51,080 --> 00:50:53,799 Speaker 1: think the data is really clear. If we look in 973 00:50:53,840 --> 00:50:56,560 Speaker 1: areas of Texas or out west in the Powder River 974 00:50:56,640 --> 00:50:58,879 Speaker 1: country in the Western States, where they raised a lot 975 00:50:58,880 --> 00:51:02,640 Speaker 1: of sheep for cattle, they it impacts your income directly. 976 00:51:02,880 --> 00:51:05,839 Speaker 1: They do a really good job promoting kyote numbers down 977 00:51:05,880 --> 00:51:09,640 Speaker 1: through trapping and other means. So again, we're talking about 978 00:51:09,640 --> 00:51:12,720 Speaker 1: our national resource. We're talking about something that generates billions 979 00:51:12,719 --> 00:51:15,799 Speaker 1: and billions of dollars and provides millions of ours of recreations. 980 00:51:16,719 --> 00:51:19,680 Speaker 1: If we get serious about controlling kyotes, we can limit 981 00:51:19,719 --> 00:51:21,560 Speaker 1: your numbers. I'm not talking about whipping them out. I'm 982 00:51:21,600 --> 00:51:25,080 Speaker 1: talking about bouncing predator and prey populations just and good 983 00:51:25,080 --> 00:51:29,879 Speaker 1: stewards of the resource. So, yes, trapping does work. Yes, 984 00:51:29,960 --> 00:51:33,480 Speaker 1: it is labor intendency. Yes it costs money. Yes, some 985 00:51:33,680 --> 00:51:36,560 Speaker 1: landolds are doing and some The most important thing is 986 00:51:36,600 --> 00:51:40,800 Speaker 1: that agencies allow trapping the kyotes during the fawning season 987 00:51:40,800 --> 00:51:43,520 Speaker 1: because that's when we have the biggest impact on fond survival. 988 00:51:45,680 --> 00:51:48,080 Speaker 1: What about other predators other than kyotes, because that's a 989 00:51:48,080 --> 00:51:51,640 Speaker 1: popular one, But what about black bears, um or wolves 990 00:51:51,680 --> 00:51:54,040 Speaker 1: and some of the Great Lakes States. Are those having 991 00:51:54,040 --> 00:51:55,839 Speaker 1: as big of an impact? Is sometimes you know, they're 992 00:51:56,000 --> 00:51:57,920 Speaker 1: they're big predators, so they get a lot of attention, 993 00:51:57,960 --> 00:52:00,719 Speaker 1: but are they really having an impact? Yeah, you know 994 00:52:00,760 --> 00:52:03,160 Speaker 1: there's studies in some areas certainly bears, I mean, I 995 00:52:03,200 --> 00:52:05,000 Speaker 1: though it's a study out of Pennsylvania, I think where 996 00:52:05,000 --> 00:52:08,160 Speaker 1: bears were retunting for about forty fawn population. Bears, you 997 00:52:08,160 --> 00:52:11,799 Speaker 1: can give them that search image can really find fawns easy. Uh, 998 00:52:11,880 --> 00:52:13,479 Speaker 1: here's the mine that people don't like to talk about. 999 00:52:13,480 --> 00:52:15,520 Speaker 1: How about eagles? Man, We got more eagles now and 1000 00:52:15,520 --> 00:52:17,960 Speaker 1: we've had any of our lives time by far, and 1001 00:52:18,080 --> 00:52:22,640 Speaker 1: eagles certainly are fawn predators. Orders abundant eagle populations and uh, 1002 00:52:22,800 --> 00:52:25,200 Speaker 1: I mean eagles are great turkey preadors. An eagle can 1003 00:52:25,280 --> 00:52:27,360 Speaker 1: fly over an open field of turkeys and one of 1004 00:52:27,440 --> 00:52:29,600 Speaker 1: them is not making it out that turkey, although it's 1005 00:52:29,600 --> 00:52:32,120 Speaker 1: a great bird, is not escaping a big old bald 1006 00:52:32,160 --> 00:52:35,799 Speaker 1: eagle creis in that field. It's just not gonna happen. So, uh, 1007 00:52:36,080 --> 00:52:39,839 Speaker 1: we have more eagles, more hawks. Who hasn't driven down 1008 00:52:39,920 --> 00:52:43,320 Speaker 1: the road and saw a pile of hawks, especially winner 1009 00:52:43,400 --> 00:52:46,120 Speaker 1: on every power pole going down the road. And they've 1010 00:52:46,120 --> 00:52:48,239 Speaker 1: been protected for thirty plus years. And I'm not saying 1011 00:52:48,280 --> 00:52:51,280 Speaker 1: it shouldn't be. But the reality is we have more eagles, 1012 00:52:51,640 --> 00:52:54,560 Speaker 1: more locks, more bears, more mountain lines in a lot 1013 00:52:54,600 --> 00:52:58,560 Speaker 1: of areas, more coyops, certainly, more wolves. We have a 1014 00:52:58,760 --> 00:53:01,560 Speaker 1: lot of predators out there, more than we've had in 1015 00:53:01,719 --> 00:53:03,960 Speaker 1: most of our lifetimes, and to say they're not an 1016 00:53:04,000 --> 00:53:07,440 Speaker 1: issue is just really be imbined to the situation. And 1017 00:53:07,560 --> 00:53:10,239 Speaker 1: so what do we do? Well, we make choices every 1018 00:53:10,320 --> 00:53:12,880 Speaker 1: day as humans of what we favor and don't favor. 1019 00:53:13,719 --> 00:53:15,320 Speaker 1: And it seems to me that in a lot of 1020 00:53:15,400 --> 00:53:19,160 Speaker 1: areas were favoring predators and ignoring the white tail population 1021 00:53:19,239 --> 00:53:22,920 Speaker 1: and other game species coil turkey, other game species. So 1022 00:53:23,000 --> 00:53:25,200 Speaker 1: I think we've got to find a balance between sudative 1023 00:53:25,239 --> 00:53:29,080 Speaker 1: preat populations that's good for mankind and instead our goals 1024 00:53:29,200 --> 00:53:32,279 Speaker 1: achieving that balance. Yeah, I think something you said that's 1025 00:53:32,280 --> 00:53:35,200 Speaker 1: really important too, And it's something that, um, I worry 1026 00:53:35,200 --> 00:53:38,080 Speaker 1: about sometimes because you know, I'm in addition to being 1027 00:53:38,080 --> 00:53:41,960 Speaker 1: a deer hunter, I'm also just a wildlife a lover 1028 00:53:42,200 --> 00:53:45,040 Speaker 1: of wilderness and wildlife and animals and nature and all 1029 00:53:45,040 --> 00:53:47,880 Speaker 1: these different things. And I think the important thing you 1030 00:53:47,920 --> 00:53:50,680 Speaker 1: said there was a balance. Um. And again this is 1031 00:53:50,719 --> 00:53:52,799 Speaker 1: just my two cents, but sometimes you start hearing people 1032 00:53:52,880 --> 00:53:55,520 Speaker 1: talking about, you know, we have to kill every single predator, 1033 00:53:56,080 --> 00:53:57,719 Speaker 1: just strow them all because they're killing our deer herd. 1034 00:53:58,160 --> 00:53:59,800 Speaker 1: And I like the fact that you made it a 1035 00:54:00,000 --> 00:54:02,520 Speaker 1: point to say, you know, we don't need to eradicate them, um, 1036 00:54:02,560 --> 00:54:04,279 Speaker 1: but we need to find that proper balance. I think 1037 00:54:04,400 --> 00:54:06,520 Speaker 1: in my personal opinion that's the right the right way 1038 00:54:06,520 --> 00:54:08,440 Speaker 1: to due to is finding that balance. There's there's probably 1039 00:54:08,480 --> 00:54:11,919 Speaker 1: a place for for both, but finding that right balance. Yeah, 1040 00:54:12,080 --> 00:54:13,880 Speaker 1: it would be a lonely deer with for me to 1041 00:54:13,960 --> 00:54:16,520 Speaker 1: walk out and not hear a kyld howling somewhere every 1042 00:54:16,520 --> 00:54:18,080 Speaker 1: now and then a bustance stuff, that would be a 1043 00:54:18,120 --> 00:54:20,040 Speaker 1: lonely deal with for me. Or see a bobcat over 1044 00:54:20,120 --> 00:54:22,359 Speaker 1: now and then, you know, or or if I get 1045 00:54:22,400 --> 00:54:24,080 Speaker 1: to hunt in those Northern States, I worked a lot 1046 00:54:24,160 --> 00:54:26,960 Speaker 1: of by war Road Minnesota and borders of Pollo wolves 1047 00:54:27,040 --> 00:54:29,360 Speaker 1: up there, and probably a little too many, but you know, 1048 00:54:29,480 --> 00:54:31,480 Speaker 1: like we're hearing them how at night or seeing a 1049 00:54:31,480 --> 00:54:33,719 Speaker 1: big old wolf track. That's really that is part of 1050 00:54:33,760 --> 00:54:37,040 Speaker 1: that willderness experience for me. But it's just finding that balance. 1051 00:54:37,120 --> 00:54:39,920 Speaker 1: That's in all things a lot of auderation and balanced 1052 00:54:40,040 --> 00:54:42,800 Speaker 1: and I think that's our job as mankind is to 1053 00:54:43,040 --> 00:54:45,040 Speaker 1: help find that balance, because if we if a man 1054 00:54:45,120 --> 00:54:48,120 Speaker 1: doesn't create that balance, we didn't get these big old, 1055 00:54:48,160 --> 00:54:51,040 Speaker 1: massive swings. The preservationists people say, don't do anything and 1056 00:54:51,040 --> 00:54:53,680 Speaker 1: they're work itself out, it will work itself out. But 1057 00:54:53,800 --> 00:54:56,640 Speaker 1: those we will work it stuff out in massive swings, 1058 00:54:57,440 --> 00:55:02,399 Speaker 1: massive swings that I don't believe human society will all right, yeah, yeah, 1059 00:55:02,400 --> 00:55:05,680 Speaker 1: I think that's that's absolutely the truth. And speaking of 1060 00:55:05,800 --> 00:55:08,919 Speaker 1: one of these changes, um, you know, we talked about 1061 00:55:08,960 --> 00:55:10,960 Speaker 1: the at the beginning of the episode. You mentioned, you know, 1062 00:55:11,000 --> 00:55:13,680 Speaker 1: trying to set a baseline and you know that what 1063 00:55:13,840 --> 00:55:16,279 Speaker 1: the population was like, what the dear population heard was 1064 00:55:16,360 --> 00:55:20,760 Speaker 1: like before European settlement, and um, you know, now humans 1065 00:55:20,840 --> 00:55:23,799 Speaker 1: obviously have made an impact and that's changed things. One 1066 00:55:23,840 --> 00:55:27,400 Speaker 1: of the greatest impacts happening right now. It really is forever, 1067 00:55:27,600 --> 00:55:30,640 Speaker 1: ever since we've been settling North America has been habitat 1068 00:55:31,680 --> 00:55:35,080 Speaker 1: and recently, from my conversations with Kip and others, more 1069 00:55:35,120 --> 00:55:37,000 Speaker 1: and more people are bringing up the fact that or 1070 00:55:37,040 --> 00:55:41,360 Speaker 1: the belief that habitat loss is making a greater impact 1071 00:55:41,440 --> 00:55:43,399 Speaker 1: on some of these dear declines that we've been seeing 1072 00:55:43,480 --> 00:55:46,520 Speaker 1: than maybe you know, is being given credit for so 1073 00:55:47,320 --> 00:55:50,319 Speaker 1: grant in the case if it seems like we're losing 1074 00:55:50,360 --> 00:55:53,279 Speaker 1: white to habitat, I believe there was. I think Kip 1075 00:55:53,320 --> 00:55:55,479 Speaker 1: Adams had mentioned the fact that we've lost a total 1076 00:55:55,640 --> 00:55:58,120 Speaker 1: third of all the CRP ground in the Midwest over 1077 00:55:58,160 --> 00:55:59,920 Speaker 1: the last four or five years. I think it was 1078 00:56:00,040 --> 00:56:02,840 Speaker 1: us UM and that's you know, tremendous white tail habitat. 1079 00:56:02,960 --> 00:56:06,680 Speaker 1: In these cases where we're losing habitat um for for deer. 1080 00:56:07,239 --> 00:56:09,920 Speaker 1: Is there anything that an individual landowner or hunter on 1081 00:56:10,000 --> 00:56:12,279 Speaker 1: public land can do to combat that at all? Is 1082 00:56:12,320 --> 00:56:14,880 Speaker 1: it just merely you know, putting more cover onto our 1083 00:56:14,960 --> 00:56:17,000 Speaker 1: pieces of ground, or what can I do if I 1084 00:56:17,080 --> 00:56:19,120 Speaker 1: if I hear that's an issue, what can I do 1085 00:56:19,160 --> 00:56:22,480 Speaker 1: about that? Yeah? You know, if you're an individual hunter 1086 00:56:22,560 --> 00:56:25,440 Speaker 1: on public ground, I think your best tool is to 1087 00:56:25,640 --> 00:56:30,080 Speaker 1: ballot box. You can vote, and you can you know, 1088 00:56:30,840 --> 00:56:35,080 Speaker 1: forward and get behind referendums that protect will of habitat 1089 00:56:35,239 --> 00:56:39,040 Speaker 1: and streamside management zones and because good habitat is always 1090 00:56:39,120 --> 00:56:41,759 Speaker 1: good for clean air and clean water and many things 1091 00:56:41,880 --> 00:56:43,600 Speaker 1: besides seeing a big old pluck out there on the 1092 00:56:43,640 --> 00:56:46,680 Speaker 1: frosty morning. So I think that's the game where US 1093 00:56:46,719 --> 00:56:49,879 Speaker 1: assistants find that balance. We all want to have cheap 1094 00:56:49,960 --> 00:56:52,400 Speaker 1: fueld and we want to have cheap food. Those are 1095 00:56:52,480 --> 00:56:56,360 Speaker 1: realities and and so there's trade offs and there's balances 1096 00:56:56,440 --> 00:56:59,840 Speaker 1: and where do we find that balance? And finding that 1097 00:57:00,040 --> 00:57:04,080 Speaker 1: balance is very difficult. But you know, a loss of 1098 00:57:05,360 --> 00:57:08,520 Speaker 1: of CRP land certainly has a huge impact on game 1099 00:57:08,680 --> 00:57:13,360 Speaker 1: and non game species. But it's an individual landowner and 1100 00:57:13,440 --> 00:57:15,279 Speaker 1: he's saying, man, I got a chance to make some 1101 00:57:15,320 --> 00:57:17,320 Speaker 1: money and pay my land here at corn prices they're 1102 00:57:17,360 --> 00:57:19,120 Speaker 1: not high now, but they were high, and I can 1103 00:57:19,560 --> 00:57:21,240 Speaker 1: you know, I think it's more profitable for me to 1104 00:57:21,320 --> 00:57:24,680 Speaker 1: a corn and have CRP. Who's complain that landowner for 1105 00:57:24,760 --> 00:57:29,840 Speaker 1: making that choice. So these are trade offs and and 1106 00:57:30,600 --> 00:57:32,680 Speaker 1: there is not an easy It's easier for me to 1107 00:57:32,800 --> 00:57:35,520 Speaker 1: solve you know, wolves and kidos and other things than 1108 00:57:35,640 --> 00:57:38,240 Speaker 1: is that one. Because I do work for some those people. 1109 00:57:38,280 --> 00:57:40,640 Speaker 1: And you know, you're a guy, and you're you you 1110 00:57:40,760 --> 00:57:42,840 Speaker 1: had land and CRP and you're making you know, where 1111 00:57:42,840 --> 00:57:45,040 Speaker 1: you are sixty seventy dred twenty dollars an acre form 1112 00:57:45,040 --> 00:57:47,880 Speaker 1: CRP payment. All a sudden corn jumps at the ten 1113 00:57:47,960 --> 00:57:50,760 Speaker 1: dollars an acre and even though it's marginal land. You 1114 00:57:50,880 --> 00:57:53,440 Speaker 1: can make more than that hundred dollars preak or profit. 1115 00:57:54,080 --> 00:57:55,960 Speaker 1: You got two kids wanting to go to college. You're 1116 00:57:55,960 --> 00:57:57,720 Speaker 1: trying to pay it for a new john to your combine. 1117 00:57:57,760 --> 00:57:59,800 Speaker 1: What are you gonna do? You're gonna take that land 1118 00:57:59,840 --> 00:58:03,720 Speaker 1: out of CRP and go corn. So that is a 1119 00:58:04,120 --> 00:58:07,160 Speaker 1: very very complicated question of which I don't have an 1120 00:58:07,200 --> 00:58:10,440 Speaker 1: answer except that as a nation, not as an individual 1121 00:58:10,560 --> 00:58:14,280 Speaker 1: has a nation in the ballot box, we need to 1122 00:58:14,320 --> 00:58:17,600 Speaker 1: come and decide you unitedly and hopefully come to a 1123 00:58:17,640 --> 00:58:21,080 Speaker 1: decision which doesn't have a lot anymore in our democracy. 1124 00:58:21,920 --> 00:58:25,720 Speaker 1: What our values are? What what is? What are we 1125 00:58:25,840 --> 00:58:27,640 Speaker 1: willing to pay for gas? What are we willing to 1126 00:58:27,680 --> 00:58:29,880 Speaker 1: pay for corn? And what are those trade offfs that 1127 00:58:30,400 --> 00:58:33,200 Speaker 1: allow us to maintain while I've had a tap and 1128 00:58:33,320 --> 00:58:37,560 Speaker 1: a very healthy productive society. And those are tough questions. 1129 00:58:38,200 --> 00:58:40,640 Speaker 1: Those are as windmills, Boy, there's a you know, it's 1130 00:58:40,640 --> 00:58:44,520 Speaker 1: a clean source of fuel that destroys some land, destroy 1131 00:58:44,600 --> 00:58:46,600 Speaker 1: some habitat, and sure knocks a lot of birds out there. 1132 00:58:46,800 --> 00:58:48,520 Speaker 1: You know what, what's the right answer there? First you 1133 00:58:48,640 --> 00:58:50,640 Speaker 1: we get windmills going, by, guys, that's a great solution 1134 00:58:50,720 --> 00:58:53,520 Speaker 1: to our energy crisis, and if you're a guy walking 1135 00:58:53,600 --> 00:58:55,440 Speaker 1: blow and picking up a few eagles, you're going on, 1136 00:58:55,560 --> 00:58:56,880 Speaker 1: I don't know if this is a good or not. 1137 00:58:57,160 --> 00:58:59,240 Speaker 1: So you know, we we don't have to make two tradeoffs, 1138 00:59:01,080 --> 00:59:03,680 Speaker 1: and that one is not easy when to answer, Yeah, 1139 00:59:04,120 --> 00:59:07,280 Speaker 1: that's a that's a that's a tough call. Absolutely. Yeah, 1140 00:59:07,680 --> 00:59:09,960 Speaker 1: well we are. We are coming up pretty closely here 1141 00:59:10,000 --> 00:59:13,200 Speaker 1: on time. But Dan, do you have any final questions 1142 00:59:13,240 --> 00:59:15,920 Speaker 1: for granting here before we let them go? Yeah? I 1143 00:59:16,640 --> 00:59:21,040 Speaker 1: have a question about big Bucks. Okay, every you know, 1144 00:59:21,200 --> 00:59:25,400 Speaker 1: if I'm a landowner, um for for me personally, I'm 1145 00:59:25,480 --> 00:59:29,440 Speaker 1: buying that land to manage it to hold Big Bucks. 1146 00:59:30,240 --> 00:59:34,720 Speaker 1: And so I've managed my property. I have the cover, 1147 00:59:34,880 --> 00:59:37,120 Speaker 1: I have the food, I have everything that is needed 1148 00:59:37,920 --> 00:59:41,560 Speaker 1: from a from a scientific standpoint. Is there a way 1149 00:59:41,720 --> 00:59:48,920 Speaker 1: to improve genetics or um do something management wise that 1150 00:59:49,120 --> 00:59:54,040 Speaker 1: will increase antler size? Okay, so first thing I'm always 1151 00:59:54,040 --> 00:59:55,760 Speaker 1: gonna look at. I'm gonna be quick here scoep tub 1152 00:59:55,920 --> 00:59:58,280 Speaker 1: and water. And I think what you're really saying is 1153 00:59:58,360 --> 01:00:00,800 Speaker 1: you want to kill a big buck. Because I have 1154 01:00:00,880 --> 01:00:04,240 Speaker 1: done all that killing the big book. You've done all that, 1155 01:00:04,400 --> 01:00:06,160 Speaker 1: But if you haven't told me is what the neighbors have. 1156 01:00:06,360 --> 01:00:08,200 Speaker 1: There needs to be a reason for that mature deer 1157 01:00:08,240 --> 01:00:10,880 Speaker 1: to be on near land versus the neighbors land itself selfish, 1158 01:00:10,960 --> 01:00:13,560 Speaker 1: but that is a reality. So if you've got soybeans 1159 01:00:13,640 --> 01:00:16,120 Speaker 1: or neighbors got soy beans, that's even. If you've got water, 1160 01:00:16,240 --> 01:00:18,400 Speaker 1: necks got water, that's even. What do you have this 1161 01:00:18,600 --> 01:00:21,240 Speaker 1: better than the neighbors out of one oh three? And 1162 01:00:21,360 --> 01:00:23,600 Speaker 1: I always want to air on the cover side because 1163 01:00:23,640 --> 01:00:25,800 Speaker 1: that's where deer has been, specially from sure dear, it's 1164 01:00:25,840 --> 01:00:28,640 Speaker 1: been most of the daylight hours. It's not sexy to 1165 01:00:28,760 --> 01:00:31,360 Speaker 1: talk about, but I'm always gonna air on having the 1166 01:00:31,480 --> 01:00:35,000 Speaker 1: best cover in the neighborhood if i can either sanctuary, less, 1167 01:00:35,040 --> 01:00:37,440 Speaker 1: signing pressure or whatever it is. Second part of your 1168 01:00:37,520 --> 01:00:40,240 Speaker 1: question is no way. This has been proven by great 1169 01:00:40,320 --> 01:00:43,360 Speaker 1: scientific research. You're not going to change the genetics of 1170 01:00:43,400 --> 01:00:46,720 Speaker 1: a wild, pre ranging deer while your trigger finger, you're 1171 01:00:46,840 --> 01:00:50,280 Speaker 1: not gonna do it. Old red structure. You can accomplish, 1172 01:00:50,640 --> 01:00:53,040 Speaker 1: better food, you can accomplish. The only way we're gonna 1173 01:00:53,120 --> 01:00:57,920 Speaker 1: change genetics with any meaningful result is by line breeding 1174 01:00:58,040 --> 01:01:01,080 Speaker 1: or having a pedigree, knowing who breads for several generations 1175 01:01:01,520 --> 01:01:04,800 Speaker 1: and the results of that crossing under offspring and calling 1176 01:01:04,880 --> 01:01:07,320 Speaker 1: the ones that we don't like, keeping the ones we do. 1177 01:01:07,800 --> 01:01:10,120 Speaker 1: I said, only with the pettigree, because just calling, Oh 1178 01:01:10,160 --> 01:01:12,160 Speaker 1: my guys, here's a four point buck. I'm not shoot him. 1179 01:01:12,560 --> 01:01:15,000 Speaker 1: You have no idea. That's just pheno type. But his 1180 01:01:15,200 --> 01:01:17,680 Speaker 1: geno type may be totally different due to an injury 1181 01:01:17,800 --> 01:01:20,720 Speaker 1: or got born, laid or whatever happens. So a little 1182 01:01:20,760 --> 01:01:24,440 Speaker 1: quickly here, but no, I never ever ever give me 1183 01:01:24,520 --> 01:01:28,800 Speaker 1: clearly never been calling has a way to improve genetics 1184 01:01:28,840 --> 01:01:32,360 Speaker 1: and a wild Cranian deer. It cannot be done or 1185 01:01:32,360 --> 01:01:35,240 Speaker 1: it's not likely to be done again unless there's a pettingree. 1186 01:01:35,280 --> 01:01:38,040 Speaker 1: So you'd gown these monster deer in pens because they 1187 01:01:38,120 --> 01:01:41,520 Speaker 1: know who's bet who for several generations and the results 1188 01:01:41,520 --> 01:01:43,840 Speaker 1: of those crossings. And there's some real famous cases where 1189 01:01:44,080 --> 01:01:45,960 Speaker 1: you know, the hundred forty and shade pointer is still 1190 01:01:46,000 --> 01:01:49,120 Speaker 1: in two offspring year after year after year, with all 1191 01:01:49,160 --> 01:01:51,120 Speaker 1: the most properties. You've been cold as a cold buck. 1192 01:01:53,040 --> 01:01:55,120 Speaker 1: So I fell really easy on my land. If it's 1193 01:01:55,160 --> 01:01:57,080 Speaker 1: four years old, it's a cold deer. I try to 1194 01:01:57,120 --> 01:01:59,120 Speaker 1: shoot it. If it's not four years old, I don't 1195 01:01:59,160 --> 01:02:03,439 Speaker 1: hear what if stores lives I like something you said. 1196 01:02:03,480 --> 01:02:06,680 Speaker 1: They're um and kind of going off topic here really quickly. Um, 1197 01:02:06,800 --> 01:02:09,320 Speaker 1: but you mentioned you're looking at age and that's determined 1198 01:02:09,320 --> 01:02:12,520 Speaker 1: whether you shoot or not with these different things happening 1199 01:02:12,520 --> 01:02:15,040 Speaker 1: in the white tailed world right now, is that the 1200 01:02:15,160 --> 01:02:18,400 Speaker 1: criteria that you would recommend most hunters use rather than 1201 01:02:18,400 --> 01:02:21,440 Speaker 1: antler size or things, uh, anything like that when it 1202 01:02:21,520 --> 01:02:24,000 Speaker 1: comes to making har decisions. Absolutely. You know, if you're 1203 01:02:24,000 --> 01:02:27,040 Speaker 1: a landowner near savvy enough the home land and new stocks, 1204 01:02:27,200 --> 01:02:29,560 Speaker 1: you can get pretty good at estimating age of a 1205 01:02:29,640 --> 01:02:33,680 Speaker 1: buck on the fifth and so age will always give 1206 01:02:33,720 --> 01:02:37,240 Speaker 1: you better long term results. And you know, circumference or 1207 01:02:37,280 --> 01:02:39,680 Speaker 1: antler spread or number points on the side, what happens 1208 01:02:39,720 --> 01:02:42,760 Speaker 1: with any of those measurements is that you end up 1209 01:02:42,840 --> 01:02:45,720 Speaker 1: high grating over time because your best two year old bucks, 1210 01:02:45,720 --> 01:02:47,640 Speaker 1: a three year od buck or earling buck, whatever your 1211 01:02:47,680 --> 01:02:50,520 Speaker 1: criteria is gonna you know, if you've got a three 1212 01:02:50,560 --> 01:02:52,680 Speaker 1: point on the side rule, your best earing bucks, a're 1213 01:02:52,680 --> 01:02:54,400 Speaker 1: gonna have four or five points on side, and you 1214 01:02:54,520 --> 01:02:58,160 Speaker 1: keep shooting the best year after year after year. We 1215 01:02:58,240 --> 01:03:01,160 Speaker 1: gotta remember that those here the book most part of 1216 01:03:01,280 --> 01:03:04,360 Speaker 1: the genetic pool of antlers, and we're not selecting them 1217 01:03:04,400 --> 01:03:07,120 Speaker 1: on those but those bucks aren't. It's not that you're 1218 01:03:07,200 --> 01:03:10,520 Speaker 1: changing the genetics, but you're allowing the bucks for less 1219 01:03:11,160 --> 01:03:14,120 Speaker 1: inherent potential standing there to eat the food and go on. 1220 01:03:14,280 --> 01:03:17,160 Speaker 1: It's not breeding, it's just the mature in too deer 1221 01:03:17,360 --> 01:03:18,840 Speaker 1: that dorn Off to as good to start and lot 1222 01:03:18,920 --> 01:03:21,960 Speaker 1: to start with. You want that deer that exceeded the 1223 01:03:22,080 --> 01:03:25,040 Speaker 1: criteria but was still the same age to live because 1224 01:03:25,080 --> 01:03:28,520 Speaker 1: it's showing the potential to be better. Doesn't mean as 1225 01:03:28,600 --> 01:03:31,160 Speaker 1: jeans are gonna be better, but that individual deer is 1226 01:03:31,160 --> 01:03:34,200 Speaker 1: going to be better. And that's why we manage individual deer. Yeah, 1227 01:03:34,600 --> 01:03:36,320 Speaker 1: you want to give them that chance to to reach 1228 01:03:36,400 --> 01:03:39,560 Speaker 1: that potential. Well, you want them to express their potential. 1229 01:03:40,000 --> 01:03:43,160 Speaker 1: Absolutely so. So we've taken a lot of time out 1230 01:03:43,160 --> 01:03:44,560 Speaker 1: of your day, Grant. So I want to wrap things 1231 01:03:44,640 --> 01:03:48,040 Speaker 1: up here. Um, but one last question to kind of 1232 01:03:48,080 --> 01:03:50,640 Speaker 1: put a bowl on this. You we start a conversation, 1233 01:03:50,760 --> 01:03:52,840 Speaker 1: Grant with you mentioned the fact that we've gone from 1234 01:03:52,880 --> 01:03:56,200 Speaker 1: maybe a time of really great, a great period of 1235 01:03:56,240 --> 01:03:58,240 Speaker 1: time for white tails and white tail hunters in America 1236 01:03:58,600 --> 01:04:01,680 Speaker 1: to maybe a slightly different in time. So, um, it 1237 01:04:01,800 --> 01:04:03,680 Speaker 1: seems like you know from people I've talked to we're 1238 01:04:03,720 --> 01:04:07,080 Speaker 1: we're entering a slightly new normal. So in this slightly 1239 01:04:07,200 --> 01:04:10,800 Speaker 1: new era of deer hunting, what is the one big 1240 01:04:11,080 --> 01:04:13,640 Speaker 1: takeaway message that you hope that deer hunters can kind 1241 01:04:13,640 --> 01:04:16,040 Speaker 1: of wrap their heads around moving forward giving these changes, 1242 01:04:17,840 --> 01:04:21,360 Speaker 1: Every deer hunter, every deer hunter public land, private land, 1243 01:04:21,760 --> 01:04:24,800 Speaker 1: is a deer manager. When you pull that trigger, you've 1244 01:04:24,840 --> 01:04:27,240 Speaker 1: made a management decision. Did you improve the deer heard 1245 01:04:27,320 --> 01:04:30,840 Speaker 1: quality or did you decrease the deer quality? With got 1246 01:04:30,920 --> 01:04:34,240 Speaker 1: that recognition that every hunters a manager, not to state 1247 01:04:34,320 --> 01:04:37,880 Speaker 1: agencies there, they're teachers, are educators, they give us guidelines, 1248 01:04:38,360 --> 01:04:41,040 Speaker 1: they hold the public trust, they collect data, But the 1249 01:04:41,080 --> 01:04:43,880 Speaker 1: guy pull on the trigger determines the future of that 1250 01:04:44,040 --> 01:04:46,680 Speaker 1: peer heard. Maybe you need to pass up deer because 1251 01:04:46,680 --> 01:04:48,720 Speaker 1: you've had bad disease, you've got a lot of predators, 1252 01:04:48,840 --> 01:04:51,080 Speaker 1: or what the issue is, or maybe you're in an 1253 01:04:51,120 --> 01:04:53,160 Speaker 1: area that needs to harvest a lot of those and 1254 01:04:53,240 --> 01:04:56,240 Speaker 1: reduced that number of deer based on the amount of 1255 01:04:56,280 --> 01:04:59,400 Speaker 1: food out there. But the realization that we can't be 1256 01:04:59,800 --> 01:05:03,480 Speaker 1: in consumers simply deer hunters, and then we all have 1257 01:05:03,640 --> 01:05:06,000 Speaker 1: to carry a little bit of the management burden by 1258 01:05:06,080 --> 01:05:09,840 Speaker 1: making the choices we make is the key that will 1259 01:05:09,880 --> 01:05:14,000 Speaker 1: help us have great hunting into the future. That's awesome, Grant. 1260 01:05:14,040 --> 01:05:16,360 Speaker 1: I think that is a perfect way to wrap all 1261 01:05:16,360 --> 01:05:19,360 Speaker 1: of this up. So for people listening today that want 1262 01:05:19,440 --> 01:05:21,680 Speaker 1: to learn more about what you're doing and learn more 1263 01:05:21,800 --> 01:05:25,400 Speaker 1: from you, um, where should they go online? Just sending 1264 01:05:25,400 --> 01:05:29,320 Speaker 1: a little our website, Growing Dear dot TV, Growing Dear 1265 01:05:29,440 --> 01:05:32,280 Speaker 1: dot PV. And we're making new showing a week and 1266 01:05:32,360 --> 01:05:36,160 Speaker 1: all past five some odd shows too, and fifty show. 1267 01:05:36,200 --> 01:05:39,360 Speaker 1: Excuse me, you're on there five years of running and 1268 01:05:39,680 --> 01:05:41,560 Speaker 1: so you can search on you know, food Pots or 1269 01:05:41,560 --> 01:05:43,440 Speaker 1: Predators or whatever and find a couple of shows that 1270 01:05:43,600 --> 01:05:47,080 Speaker 1: fit that title. And hopefully we can just share information. 1271 01:05:47,120 --> 01:05:50,000 Speaker 1: It's reading no charge, just like March stuff here and 1272 01:05:50,120 --> 01:05:52,680 Speaker 1: just hopefully you can learn something. Hopefully we can share 1273 01:05:52,760 --> 01:05:55,880 Speaker 1: something meaningful. Absolutely well, I can uh. I can definitely 1274 01:05:55,880 --> 01:05:58,960 Speaker 1: say from my experiences, Grant that your resource is a 1275 01:05:59,000 --> 01:06:01,160 Speaker 1: tremendous one and I've certainly learned a lot from Growing 1276 01:06:01,200 --> 01:06:04,480 Speaker 1: Dear TV. So for everyone listening, highly recommend checking that out. 1277 01:06:04,600 --> 01:06:07,120 Speaker 1: So Grant, thank you so much for joining us here today. 1278 01:06:07,160 --> 01:06:11,200 Speaker 1: This has been terrific. Mark, thanks forty Dan, thank you 1279 01:06:11,280 --> 01:06:14,320 Speaker 1: for your time. Thank you all right, have a great night, Grant. 1280 01:06:14,360 --> 01:06:19,000 Speaker 1: Thank you. Thanks guys. All right, well, I hope you're 1281 01:06:19,040 --> 01:06:22,240 Speaker 1: taking notes there, because Grant really shared a tremendous amount 1282 01:06:22,240 --> 01:06:24,440 Speaker 1: of insight and I hope you enjoyed that as much 1283 01:06:24,600 --> 01:06:27,640 Speaker 1: as I did. Now, closing things out here, if you 1284 01:06:27,760 --> 01:06:30,160 Speaker 1: have been joining the podcast, it was we always ask 1285 01:06:30,280 --> 01:06:32,520 Speaker 1: it would be awesome if you could leave us a 1286 01:06:32,680 --> 01:06:35,120 Speaker 1: rating or of you on iTunes, and I want to 1287 01:06:35,160 --> 01:06:37,200 Speaker 1: give a big thank you to the one hundred and 1288 01:06:37,400 --> 01:06:39,640 Speaker 1: ninety three of you who have already done so. And 1289 01:06:39,680 --> 01:06:41,560 Speaker 1: I thought i'd read off one of those reviews here too. 1290 01:06:42,280 --> 01:06:45,440 Speaker 1: This comes from the iTunes user known as rude Like, 1291 01:06:46,000 --> 01:06:48,360 Speaker 1: and they write Mark and Dan have one of the 1292 01:06:48,440 --> 01:06:51,800 Speaker 1: best podcasts available. I enjoy listening to them so much 1293 01:06:51,920 --> 01:06:53,720 Speaker 1: that when I started, I was able to pull off 1294 01:06:53,880 --> 01:06:57,440 Speaker 1: six episodes a night at work. However, now I'm caught 1295 01:06:57,520 --> 01:07:00,360 Speaker 1: up and I find myself longing for more. These guys 1296 01:07:00,400 --> 01:07:03,400 Speaker 1: are real people, dedicated to their lifestyle and hobby. My 1297 01:07:03,480 --> 01:07:05,680 Speaker 1: only complaint is that they don't do to our shows. 1298 01:07:06,120 --> 01:07:09,520 Speaker 1: Thanks Mark and Dan for the hours of awesome. All right, Well, 1299 01:07:09,920 --> 01:07:12,920 Speaker 1: thank you, rude Like, but be careful for what you 1300 01:07:12,960 --> 01:07:15,200 Speaker 1: ask for, because we are getting ever closer to those 1301 01:07:15,240 --> 01:07:17,800 Speaker 1: two hour long shows, and uh that might end up 1302 01:07:17,800 --> 01:07:21,480 Speaker 1: happening if we keep trending in this direction. Now, in 1303 01:07:21,560 --> 01:07:24,560 Speaker 1: addition to raigings and reviews, if you haven't already done so, 1304 01:07:24,840 --> 01:07:27,200 Speaker 1: make sure you subscribe to the Wire Done podcast on 1305 01:07:27,360 --> 01:07:30,800 Speaker 1: iTunes with the Apple podcast app or the Stitcher app, 1306 01:07:30,880 --> 01:07:32,840 Speaker 1: or wherever you go to get your podcasts. You want 1307 01:07:32,880 --> 01:07:34,400 Speaker 1: to make sure you do that so you can get 1308 01:07:34,400 --> 01:07:37,240 Speaker 1: all future episodes downloaded right to your phone or tablet 1309 01:07:37,360 --> 01:07:40,480 Speaker 1: every week. Also, we'd like to thank our partners who 1310 01:07:40,520 --> 01:07:43,160 Speaker 1: helped make this show possible, so big thank you too, 1311 01:07:43,200 --> 01:07:46,800 Speaker 1: sick A Gear Trophy, Ridge Bear Archery, Red Nick Blinds, 1312 01:07:46,920 --> 01:07:50,480 Speaker 1: Carbon Express, Arrows, Hunt Soft, Lacrosse, Boots, Big and J 1313 01:07:50,680 --> 01:07:54,520 Speaker 1: Longrange Attractants, and the White Tail Institute of North America. 1314 01:07:55,120 --> 01:07:57,840 Speaker 1: And finally, and most importantly, thank you to all of 1315 01:07:57,880 --> 01:08:00,680 Speaker 1: you listening today. I hope today's show has inspired you 1316 01:08:00,720 --> 01:08:03,280 Speaker 1: to take up more responsibility as a deer hunter and 1317 01:08:03,360 --> 01:08:05,960 Speaker 1: manager and has empowered you with acknowledge to do so. 1318 01:08:06,720 --> 01:08:10,520 Speaker 1: And finally, of course, I hope you'll stay wired