1 00:00:13,200 --> 00:00:15,800 Speaker 1: Welcome back to cutting the distance. Today's guest comes to 2 00:00:15,880 --> 00:00:19,239 Speaker 1: us with a bunch of data, research and information on elk, 3 00:00:19,320 --> 00:00:22,160 Speaker 1: their biology, and their behavior. I want to see how 4 00:00:22,160 --> 00:00:23,920 Speaker 1: we may be able to take this information and use 5 00:00:23,960 --> 00:00:26,840 Speaker 1: it to our benefit during hunting season. See what makes sense, 6 00:00:26,920 --> 00:00:29,640 Speaker 1: what relates, what doesn't, and what you're seeing out there. 7 00:00:29,680 --> 00:00:33,160 Speaker 1: So Brock McMillan comes to us with a PhD in biology. 8 00:00:33,240 --> 00:00:36,440 Speaker 1: He was a professor professor of ecology at Minnesota State 9 00:00:36,560 --> 00:00:40,279 Speaker 1: University for nine years prior to joining the faculty as 10 00:00:40,400 --> 00:00:44,720 Speaker 1: Wildlife Ecologist at BYU for the past fifteen years. In 11 00:00:44,720 --> 00:00:47,240 Speaker 1: addition to all of his professional experience, he is also 12 00:00:47,320 --> 00:00:50,320 Speaker 1: an archery elkhunter, which I'm most excited about because we 13 00:00:50,440 --> 00:00:52,040 Speaker 1: get to jump in and talk about some of the 14 00:00:52,080 --> 00:00:56,160 Speaker 1: things that I've observed and if they have a biological 15 00:00:56,160 --> 00:00:58,840 Speaker 1: reasoning as well as what he's observed and maybe how 16 00:00:58,880 --> 00:01:01,520 Speaker 1: they relate how they're differ I also hoped to dive 17 00:01:01,560 --> 00:01:03,120 Speaker 1: into some of the research and see if it sheds 18 00:01:03,120 --> 00:01:06,560 Speaker 1: a little light on why and how come those questions 19 00:01:06,560 --> 00:01:09,319 Speaker 1: that I ask myself every September, and I find myself 20 00:01:09,319 --> 00:01:12,160 Speaker 1: trying to answer those every fall. So welcome to the show. Brock. 21 00:01:12,920 --> 00:01:15,560 Speaker 2: Thank you very much, Lisa. 22 00:01:19,120 --> 00:01:21,240 Speaker 1: I appreciate having you here. I know you guys are 23 00:01:21,280 --> 00:01:23,600 Speaker 1: just like everywhere across the West. You're in the thick 24 00:01:24,080 --> 00:01:27,399 Speaker 1: a calving season. How's that going for you there in Utah? 25 00:01:27,400 --> 00:01:30,720 Speaker 2: It's going great. We're right dead center. So yesterday we 26 00:01:31,440 --> 00:01:35,199 Speaker 2: collared our middle calf, meaning that half of our elk 27 00:01:35,240 --> 00:01:37,280 Speaker 2: that we have colored have given birth and half are 28 00:01:37,319 --> 00:01:40,800 Speaker 2: still waiting to give birth. And so yesterday was the 29 00:01:40,880 --> 00:01:43,000 Speaker 2: dead center day, gotcha. 30 00:01:43,040 --> 00:01:45,720 Speaker 1: And that relates to timing, which we're definitely going to 31 00:01:45,800 --> 00:01:47,640 Speaker 1: jump into here in a little bit, you know, timing 32 00:01:47,720 --> 00:01:49,480 Speaker 1: of the rut and how that affects you know, drop 33 00:01:49,560 --> 00:01:52,800 Speaker 1: dates and whatnot. I know, you know, being from Washington, 34 00:01:52,800 --> 00:01:54,960 Speaker 1: we're up a little bit further north. I know they're 35 00:01:55,080 --> 00:01:56,680 Speaker 1: just kind of I think there may be a little 36 00:01:56,720 --> 00:01:58,200 Speaker 1: bit on the front end, and so we'll talk a 37 00:01:58,240 --> 00:02:00,880 Speaker 1: little bit about that and how latitude may affect that 38 00:02:01,000 --> 00:02:03,520 Speaker 1: may not affect it, in your opinion. I'm gonna actually 39 00:02:03,520 --> 00:02:06,520 Speaker 1: gonna go over to eastern Washington and help capture calves 40 00:02:07,560 --> 00:02:10,560 Speaker 1: here next week and then interview there biologists. So yeah, 41 00:02:10,600 --> 00:02:14,280 Speaker 1: it's it's that time of year. Really thankful to have 42 00:02:14,360 --> 00:02:19,519 Speaker 1: you here. So, like every podcast, we're going to start 43 00:02:19,560 --> 00:02:22,799 Speaker 1: with some listener questions, and for this episode, I went 44 00:02:22,880 --> 00:02:26,200 Speaker 1: to is it September Yet? It's a Facebook group, a 45 00:02:26,240 --> 00:02:28,760 Speaker 1: bunch of diehard Archel hunters. They live for that month 46 00:02:28,760 --> 00:02:30,880 Speaker 1: of September. So I'm excited to bring some of their 47 00:02:30,960 --> 00:02:33,960 Speaker 1: questions to you here, Brock And the first one that 48 00:02:34,000 --> 00:02:37,760 Speaker 1: we got from Dan Scalis from the from the is 49 00:02:37,760 --> 00:02:38,560 Speaker 1: it September Yet? 50 00:02:38,560 --> 00:02:38,840 Speaker 2: Group? 51 00:02:39,560 --> 00:02:42,120 Speaker 1: In your opinion, how does the moon phase affect the 52 00:02:42,200 --> 00:02:44,079 Speaker 1: rut and the elk behavior? You know, there's a lot 53 00:02:44,120 --> 00:02:46,120 Speaker 1: of built up I'm gonna I'm gonna elaborate on that. 54 00:02:46,160 --> 00:02:48,080 Speaker 1: There's a lot of talk about, you know, taking your 55 00:02:48,160 --> 00:02:51,720 Speaker 1: vacation around moon phases, are taking it, you know, just 56 00:02:51,800 --> 00:02:54,120 Speaker 1: on the backside of a full moon in your opinion 57 00:02:54,800 --> 00:02:57,280 Speaker 1: or not even your opinion. What does the science or 58 00:02:57,280 --> 00:02:59,600 Speaker 1: research say about full moon and how to affects the rut? 59 00:03:00,120 --> 00:03:02,440 Speaker 2: Jason, I would love to be able to answer that question. 60 00:03:03,840 --> 00:03:06,720 Speaker 2: I don't know, and that's a bad answer, But we 61 00:03:06,960 --> 00:03:11,800 Speaker 2: have activity data right now from we've actually GPS colored 62 00:03:11,840 --> 00:03:15,560 Speaker 2: about one thy seven hundred elk and so we know 63 00:03:15,800 --> 00:03:19,760 Speaker 2: movement behavior for all of those animals and we're just 64 00:03:19,880 --> 00:03:23,160 Speaker 2: analyzing right now the effect of time of day, season, 65 00:03:23,280 --> 00:03:26,440 Speaker 2: moon phase. So I don't have a complete answer for that, 66 00:03:26,760 --> 00:03:29,840 Speaker 2: but undoubtedly it has some effect. 67 00:03:31,480 --> 00:03:34,639 Speaker 1: Yeah, I'm going to roll a little bit of my information, 68 00:03:35,160 --> 00:03:37,680 Speaker 1: a little background on myself, Brock. You know, being an engineer, 69 00:03:37,760 --> 00:03:40,560 Speaker 1: I'm very data driven. It's why I like talking to 70 00:03:40,560 --> 00:03:42,760 Speaker 1: biologists because it's like, the data is what the data is. 71 00:03:42,800 --> 00:03:44,680 Speaker 1: You can read it and interpolate it however you want. 72 00:03:44,720 --> 00:03:48,560 Speaker 1: But one year, we set out a trail camera one 73 00:03:48,640 --> 00:03:50,640 Speaker 1: a one month cycle. We set out on October first 74 00:03:50,640 --> 00:03:53,080 Speaker 1: and we picked it up on September first. We then 75 00:03:53,160 --> 00:03:58,040 Speaker 1: went through and categorized every picture we got of bowls, 76 00:03:58,600 --> 00:04:00,800 Speaker 1: time of day, and what it related to the moon phase. 77 00:04:02,120 --> 00:04:04,800 Speaker 1: And all we saw was a slight shift in timing 78 00:04:05,200 --> 00:04:07,680 Speaker 1: when the moon was out, we would see those animals 79 00:04:07,760 --> 00:04:09,800 Speaker 1: coming out a little bit later if the moon wasn't. 80 00:04:11,080 --> 00:04:13,880 Speaker 1: And it didn't really seem to have an effect as 81 00:04:13,960 --> 00:04:15,560 Speaker 1: much as you would think. It was just a slight 82 00:04:15,880 --> 00:04:19,160 Speaker 1: a slight movement in time. Now that's you know, unscientific, 83 00:04:19,160 --> 00:04:21,560 Speaker 1: it's just me looking at one trail camera and one location. 84 00:04:21,640 --> 00:04:24,480 Speaker 1: But we did see, you know, the moon, whether it 85 00:04:24,560 --> 00:04:27,800 Speaker 1: relates to the brightness or their visibility. We did see things, 86 00:04:28,400 --> 00:04:31,320 Speaker 1: you know, leave earlier and come out later. I guess, 87 00:04:32,120 --> 00:04:34,520 Speaker 1: you know, at water, and this was at a water source, 88 00:04:34,560 --> 00:04:36,560 Speaker 1: so I need, I guess we need to preface that 89 00:04:37,360 --> 00:04:40,360 Speaker 1: as well as I also went back and looked at 90 00:04:40,480 --> 00:04:42,760 Speaker 1: you know, fifteen or twenty of my bowl kills that 91 00:04:42,800 --> 00:04:45,960 Speaker 1: I could remember days and times and whatnot. And one 92 00:04:45,960 --> 00:04:48,560 Speaker 1: thing that was actually contrary to what you hear. You 93 00:04:48,600 --> 00:04:51,360 Speaker 1: know a lot of what said is you know, following 94 00:04:51,440 --> 00:04:53,440 Speaker 1: a full moon is the best time to hunt, you know, 95 00:04:53,520 --> 00:04:57,680 Speaker 1: off of a full moon, going into no moon is 96 00:04:57,720 --> 00:05:00,360 Speaker 1: your best time to hunt. I'd actually killed the majoriy. 97 00:05:00,400 --> 00:05:03,599 Speaker 1: I think fourteen out of twenty of those bulls. We're 98 00:05:03,640 --> 00:05:06,120 Speaker 1: leading up to a full moon within that week of 99 00:05:06,160 --> 00:05:10,119 Speaker 1: the full moon. And so not that it's good data, 100 00:05:10,400 --> 00:05:13,680 Speaker 1: at least in my you know, circumstances, It didn't seem 101 00:05:13,720 --> 00:05:15,159 Speaker 1: to matter that much, right. 102 00:05:15,080 --> 00:05:19,760 Speaker 2: Jason so Well, The literature is the evidence that is 103 00:05:19,800 --> 00:05:24,680 Speaker 2: in the literature suggests that photo period is what drives 104 00:05:25,000 --> 00:05:27,920 Speaker 2: the hormone cycles on both male and female elk, and 105 00:05:28,000 --> 00:05:31,240 Speaker 2: so there can be an effective moon phase, and we 106 00:05:31,279 --> 00:05:32,800 Speaker 2: hope to be able to determine if there is an 107 00:05:32,800 --> 00:05:36,800 Speaker 2: effective moon phase, but the primary driver is photo period. 108 00:05:36,880 --> 00:05:40,919 Speaker 2: So as days under shortening, testosterone levels are increasing in 109 00:05:40,960 --> 00:05:45,360 Speaker 2: the bulls and the follicle stimulating hormone in the females 110 00:05:45,600 --> 00:05:48,120 Speaker 2: is leading them into estrus. 111 00:05:48,560 --> 00:05:52,320 Speaker 1: Okay, yeah, we're gonna jump into that pretty heavy here 112 00:05:52,360 --> 00:05:54,440 Speaker 1: in a little bit, so we'll talk about photo period. 113 00:05:54,480 --> 00:05:59,120 Speaker 1: But this is really it's not non scientific. But I 114 00:05:59,120 --> 00:06:00,640 Speaker 1: get asked a lot of times, if you only could 115 00:06:00,640 --> 00:06:04,039 Speaker 1: take one week of vacation, when would you you hunt it. 116 00:06:04,120 --> 00:06:05,600 Speaker 1: It's really what you're looking at the hunt, whether you 117 00:06:05,640 --> 00:06:07,280 Speaker 1: want kind of that pre red action, whether you want 118 00:06:07,279 --> 00:06:08,560 Speaker 1: to be in the middle of the bagling, whether you 119 00:06:08,600 --> 00:06:10,599 Speaker 1: want to be on the post. But there's only so 120 00:06:10,600 --> 00:06:12,440 Speaker 1: many days in September. So in my position where I 121 00:06:12,440 --> 00:06:14,279 Speaker 1: can hunt a lot, I'm just hunting regardless of the 122 00:06:14,279 --> 00:06:19,359 Speaker 1: moon phase. But I don't and this is all opinion based. 123 00:06:19,440 --> 00:06:21,400 Speaker 1: I don't think it matters as much as we like 124 00:06:21,480 --> 00:06:24,640 Speaker 1: to think. But but it's real, you know. It's just 125 00:06:24,680 --> 00:06:27,480 Speaker 1: based on my experience when they're running. 126 00:06:27,480 --> 00:06:31,440 Speaker 2: They're running, Jason, so I think that you're probably right there. 127 00:06:32,080 --> 00:06:35,000 Speaker 1: Yeah, Okay. Our second question comes in from Thorn Monday. 128 00:06:35,560 --> 00:06:38,520 Speaker 1: Thorn Monday, excuse me, also from is it September yet 129 00:06:38,680 --> 00:06:40,880 Speaker 1: during a colon? You have a bowl all riled up 130 00:06:41,120 --> 00:06:44,080 Speaker 1: and the next thing that bowl rounds up his cows 131 00:06:44,200 --> 00:06:47,960 Speaker 1: and leaves. Is there is there biology involved there. We're 132 00:06:47,960 --> 00:06:49,840 Speaker 1: going to get deep into the coaling elk here in 133 00:06:49,880 --> 00:06:51,960 Speaker 1: a little bit, but I wanted to throw this question 134 00:06:52,080 --> 00:06:56,440 Speaker 1: up front. Yeah, and I guess there may not be 135 00:06:56,560 --> 00:06:59,080 Speaker 1: enough information. You know, Winding, did you get too close 136 00:06:59,200 --> 00:07:01,799 Speaker 1: or did that bowl feel threatened? But can you explain 137 00:07:01,839 --> 00:07:04,560 Speaker 1: that that scenario out in the field and what you 138 00:07:04,640 --> 00:07:07,640 Speaker 1: think maybe going through that bull's head that was involved 139 00:07:07,680 --> 00:07:09,560 Speaker 1: in the call in and willing to communicate with you 140 00:07:09,680 --> 00:07:11,720 Speaker 1: and then all of a sudden stops the communication. 141 00:07:12,480 --> 00:07:15,600 Speaker 2: I don't have a biological explanation with that. I've had 142 00:07:15,600 --> 00:07:19,320 Speaker 2: that exact same experience several times. And maybe Jason, you're 143 00:07:19,360 --> 00:07:21,760 Speaker 2: a better color than I am, but my guess is 144 00:07:21,800 --> 00:07:26,720 Speaker 2: you've had that situation as well. I think every bull 145 00:07:26,800 --> 00:07:29,720 Speaker 2: has a different personality, and actually there's been some personality 146 00:07:29,760 --> 00:07:33,480 Speaker 2: work done lately, and that's true. They have different personalities. 147 00:07:33,880 --> 00:07:38,680 Speaker 2: Some are much more likely to take risks than others. 148 00:07:39,280 --> 00:07:43,640 Speaker 2: So I think that I don't know if you can 149 00:07:43,640 --> 00:07:46,560 Speaker 2: get too close, if they don't smell you. My experience, 150 00:07:46,560 --> 00:07:49,560 Speaker 2: and I don't know Jason be different. I go in 151 00:07:49,680 --> 00:07:52,160 Speaker 2: hard until I get pretty close, and then I try 152 00:07:52,160 --> 00:07:54,280 Speaker 2: to be quiet because Elkern amazing. You know that in 153 00:07:54,280 --> 00:07:56,760 Speaker 2: the woods, there's no reason to be timid getting close. 154 00:07:57,560 --> 00:08:00,840 Speaker 1: Yeah, no, I'm in that same boat. I feel, you know, 155 00:08:00,920 --> 00:08:04,280 Speaker 1: Number one, they don't smell you. Number two, you know 156 00:08:04,320 --> 00:08:07,560 Speaker 1: you obviously don't want to let them see you secondary, 157 00:08:07,640 --> 00:08:11,240 Speaker 1: but it's not as it's not as important as is 158 00:08:11,360 --> 00:08:13,640 Speaker 1: being scented. But I'm the same way. As long as 159 00:08:13,680 --> 00:08:15,600 Speaker 1: you're not gonna get picked off, getting as close as 160 00:08:15,640 --> 00:08:18,360 Speaker 1: possible has always been my game plan. I vegetation and 161 00:08:18,440 --> 00:08:21,800 Speaker 1: terrain allow it. I'm gonna I'm gonna get real, real tight. 162 00:08:21,840 --> 00:08:24,480 Speaker 1: Because we all know and and maybe elaborate on that 163 00:08:24,560 --> 00:08:28,160 Speaker 1: question why he rounds his bull or why that bull 164 00:08:28,280 --> 00:08:32,120 Speaker 1: rounds his cows up and leaves, it's it's that it's 165 00:08:32,160 --> 00:08:35,720 Speaker 1: that threat of losing it, losing his cows. You know, 166 00:08:36,000 --> 00:08:39,160 Speaker 1: These these bulls are out there with the sole purpose 167 00:08:39,320 --> 00:08:41,880 Speaker 1: to live and then recreate, you know, And and they've 168 00:08:41,920 --> 00:08:44,240 Speaker 1: got there for sure. Thing if a bull starts to 169 00:08:44,240 --> 00:08:46,680 Speaker 1: put pressure on them, or you do get too close 170 00:08:46,760 --> 00:08:50,400 Speaker 1: and his personality is such that he'd rather retain his 171 00:08:50,520 --> 00:08:53,440 Speaker 1: cows and not risk fighting. A new bullet showed up 172 00:08:53,440 --> 00:08:55,360 Speaker 1: for him, of course he's going to go the other way. 173 00:08:55,440 --> 00:08:57,959 Speaker 1: And and we talked about it on this podcast before, 174 00:08:57,960 --> 00:09:00,000 Speaker 1: and I've talked about it in some of my calling strategy. 175 00:09:00,280 --> 00:09:03,400 Speaker 1: Is this is why I sometimes start with different levels 176 00:09:03,400 --> 00:09:07,160 Speaker 1: of threat, like what a cow call have necessarily forced 177 00:09:07,200 --> 00:09:09,560 Speaker 1: him to leave right away? Or you know, and don't 178 00:09:09,559 --> 00:09:12,240 Speaker 1: get me wrong, I'm a heavy bugler, but you know, 179 00:09:12,920 --> 00:09:15,280 Speaker 1: it's it's sometimes tough to figure out why that bull 180 00:09:15,400 --> 00:09:17,840 Speaker 1: just just rounds up and leaves at a certain point 181 00:09:17,920 --> 00:09:20,960 Speaker 1: during the call in. We may not know, and it. 182 00:09:21,080 --> 00:09:24,480 Speaker 2: Mind change during the rut, because you know, bulls may 183 00:09:24,520 --> 00:09:26,920 Speaker 2: lose thirty percent of their body masks. They may be 184 00:09:27,120 --> 00:09:32,200 Speaker 2: losing three hundred pounds during the rut when they're not 185 00:09:32,280 --> 00:09:34,120 Speaker 2: eating and they're fighting all the time. So early in 186 00:09:34,160 --> 00:09:36,679 Speaker 2: the rut, the dominant bull's there and he's saying, I'm 187 00:09:36,720 --> 00:09:40,800 Speaker 2: willing to fight anybody. But ten days later he may say, 188 00:09:41,040 --> 00:09:44,080 Speaker 2: I'm out of energy and I'm going to avoid any 189 00:09:44,120 --> 00:09:45,080 Speaker 2: conflict that I can. 190 00:09:45,760 --> 00:09:49,480 Speaker 1: Yeah, it's a lot less energy expended to round his 191 00:09:49,520 --> 00:09:51,680 Speaker 1: cows up and leave versus dealing with a you know, 192 00:09:52,000 --> 00:09:56,920 Speaker 1: another mature bull. Okay, this one, And I apologize ahead 193 00:09:56,920 --> 00:09:58,680 Speaker 1: of time, Brock. These were the four questions I pulled 194 00:09:58,679 --> 00:10:00,880 Speaker 1: his user questions, so I didn't let you you kind 195 00:10:00,880 --> 00:10:03,319 Speaker 1: of review them, and I don't know if you'll have 196 00:10:03,360 --> 00:10:06,360 Speaker 1: an answer or not. But does so in the West, 197 00:10:06,400 --> 00:10:08,560 Speaker 1: we deal in Elk Country, we deal with a lot 198 00:10:08,679 --> 00:10:12,520 Speaker 1: of fire conditions, especially into September and especially as of late. 199 00:10:13,720 --> 00:10:17,320 Speaker 1: Is there any indication that smoky air, poor air quality 200 00:10:17,320 --> 00:10:19,800 Speaker 1: affects running bulls at all? Or is it strictly based 201 00:10:19,800 --> 00:10:20,600 Speaker 1: on photo period. 202 00:10:22,640 --> 00:10:26,800 Speaker 2: I don't think anybody studied that, but I can't imagine 203 00:10:26,800 --> 00:10:27,440 Speaker 2: there's an effect. 204 00:10:28,320 --> 00:10:30,640 Speaker 1: Okay, yeah, I'm I'm in that same boat, aside from 205 00:10:30,679 --> 00:10:32,480 Speaker 1: the effect that has on me trying to breathe and 206 00:10:32,559 --> 00:10:36,440 Speaker 1: you know, get around a little bit. Yeah, okay. And 207 00:10:36,480 --> 00:10:38,439 Speaker 1: that was from Marshall Buyer in there on is it 208 00:10:38,520 --> 00:10:41,439 Speaker 1: September yet? And then you may have some insight to 209 00:10:41,480 --> 00:10:44,319 Speaker 1: this when this is a little more technical question comes 210 00:10:44,360 --> 00:10:47,839 Speaker 1: from Michael Cummings from is it September yet? What does 211 00:10:47,880 --> 00:10:50,600 Speaker 1: a science say about shooting bulls versus cows for the 212 00:10:50,600 --> 00:10:52,480 Speaker 1: health of the herd? And I'm going to elaborate on 213 00:10:52,520 --> 00:10:56,160 Speaker 1: this question a little bit. Is sometimes you see areas 214 00:10:56,160 --> 00:11:00,839 Speaker 1: where herds are really i would say performing poorlion area, 215 00:11:00,920 --> 00:11:03,240 Speaker 1: or they're they're not meeting objectives, and then you get 216 00:11:03,240 --> 00:11:06,400 Speaker 1: frustrated with the Fish and Wildlife Commission or the you 217 00:11:06,400 --> 00:11:08,360 Speaker 1: know whoever it may be, that we're, dang it, we're 218 00:11:08,400 --> 00:11:10,160 Speaker 1: giving two bull takes out, but yet we still have 219 00:11:10,200 --> 00:11:13,440 Speaker 1: fifty cow takes in the unit. I'm gonna I'm gonna 220 00:11:13,440 --> 00:11:15,680 Speaker 1: ask that from a hunter's perspective, what does what does 221 00:11:15,800 --> 00:11:19,600 Speaker 1: in your opinion taking cows versus bulls, because and how 222 00:11:19,640 --> 00:11:23,520 Speaker 1: does that negatively or in it, you know, adversely, affect 223 00:11:23,559 --> 00:11:24,800 Speaker 1: it or does it in your opinion? 224 00:11:24,880 --> 00:11:26,839 Speaker 2: So I hope this is something we get into because 225 00:11:26,840 --> 00:11:32,439 Speaker 2: I think this is a really complex question. If you're 226 00:11:32,480 --> 00:11:35,880 Speaker 2: a rancher, a cattle rancher, you don't want any bulls 227 00:11:35,880 --> 00:11:37,920 Speaker 2: in your herd because every bull you put in the 228 00:11:37,920 --> 00:11:41,600 Speaker 2: herd is is a lack of food for another cow 229 00:11:41,640 --> 00:11:44,040 Speaker 2: to produce a calf. And I think it's generally the 230 00:11:44,080 --> 00:11:48,400 Speaker 2: same for elk. You don't need very many bulls in 231 00:11:48,440 --> 00:11:51,240 Speaker 2: the herd to service all the cows and to service 232 00:11:51,280 --> 00:11:53,600 Speaker 2: them during their estress. I hear all the time. Well, 233 00:11:53,640 --> 00:11:56,679 Speaker 2: if you don't have enough, they go into a second estress. 234 00:11:57,040 --> 00:12:01,640 Speaker 2: We have no evidence of that whatsoever. Zero and so 235 00:12:03,320 --> 00:12:05,520 Speaker 2: and so the more bulls that you remove from the herd, 236 00:12:05,640 --> 00:12:07,840 Speaker 2: the more productive the herd's going to be. Now, there's 237 00:12:07,920 --> 00:12:09,920 Speaker 2: less bulls to see when you're hunting if you do that, 238 00:12:10,480 --> 00:12:12,640 Speaker 2: but the herd as a whole will be more productive. 239 00:12:13,520 --> 00:12:16,800 Speaker 2: The other kicker is Jason, and this is a big 240 00:12:16,800 --> 00:12:21,200 Speaker 2: one for us in Utah is as a population ages, say, 241 00:12:21,280 --> 00:12:24,600 Speaker 2: for example, you are not removing cows, and the average 242 00:12:24,640 --> 00:12:28,680 Speaker 2: age of the cow increases, the likelihood that that cow 243 00:12:28,800 --> 00:12:32,439 Speaker 2: becomes pregnant goes down with age, and so as a 244 00:12:32,559 --> 00:12:35,920 Speaker 2: herd ages as a whole, the productivity of that herd 245 00:12:36,440 --> 00:12:40,280 Speaker 2: goes down. Regardless of how many are on the landscape. 246 00:12:41,600 --> 00:12:43,640 Speaker 2: So there's a whole bunch of factors. If we have 247 00:12:43,679 --> 00:12:46,160 Speaker 2: too many miles on the landscape, production is going to 248 00:12:46,240 --> 00:12:50,240 Speaker 2: go down because nutrition drives whether whether a cow goes 249 00:12:50,280 --> 00:12:53,040 Speaker 2: into estress or not. If she's not fat enough, she 250 00:12:53,080 --> 00:12:57,280 Speaker 2: doesn't even go into estres and so pregnancy rates will 251 00:12:57,280 --> 00:13:00,160 Speaker 2: be low. Same thing if the herd's getting old and 252 00:13:00,160 --> 00:13:03,200 Speaker 2: see late, ray will be low and the herd just 253 00:13:03,280 --> 00:13:06,440 Speaker 2: won't be as productive as it was during the growth 254 00:13:06,440 --> 00:13:08,720 Speaker 2: phase for that herd. Does that make sense? 255 00:13:09,280 --> 00:13:10,760 Speaker 1: Yeah, that makes a lot of sense, And we're going 256 00:13:10,800 --> 00:13:13,040 Speaker 1: to jump into herd dynamics and a little bit bold 257 00:13:13,080 --> 00:13:15,160 Speaker 1: of Cali ratio and some of that, and I've got 258 00:13:15,200 --> 00:13:17,800 Speaker 1: I've got a lot more questions we can expand on this, like, well, 259 00:13:18,080 --> 00:13:20,120 Speaker 1: what's a good management tool to make sure you're only 260 00:13:20,160 --> 00:13:22,720 Speaker 1: taking those those older cols or how do you determine that? 261 00:13:22,760 --> 00:13:25,200 Speaker 1: So I've got some questions from a hunter's perspective like 262 00:13:25,240 --> 00:13:27,320 Speaker 1: and a game manager's perspective like how do you even 263 00:13:27,360 --> 00:13:30,280 Speaker 1: manage that for the optimal hurt health? But we'll jump 264 00:13:30,280 --> 00:13:33,600 Speaker 1: into that. So No, I appreciate you answering that question, 265 00:13:33,640 --> 00:13:36,120 Speaker 1: and I'll kind of wrap up our listener questions today, 266 00:13:36,160 --> 00:13:38,640 Speaker 1: Brock And once again, if you have questions of your 267 00:13:38,640 --> 00:13:42,040 Speaker 1: own you'd like me or my guests the experts to 268 00:13:42,520 --> 00:13:45,439 Speaker 1: try to answer, feel free to email us at CTD 269 00:13:46,160 --> 00:13:48,800 Speaker 1: at phelpsgame Calls dot com, or reach out to us 270 00:13:48,840 --> 00:13:52,600 Speaker 1: on social and give us your questions and we'll try 271 00:13:52,640 --> 00:13:54,600 Speaker 1: to include him here. So can't thank the guys over 272 00:13:54,640 --> 00:13:58,400 Speaker 1: at is it September yet? Page enough for filling us 273 00:13:58,480 --> 00:14:00,600 Speaker 1: up with some questions, and the ones I didn't get to, 274 00:14:00,800 --> 00:14:02,760 Speaker 1: we're for sure going to get to in my conversation. 275 00:14:03,000 --> 00:14:07,600 Speaker 1: So next up, we're going to jump into my discussion here, Brock. 276 00:14:07,800 --> 00:14:08,280 Speaker 2: Excellent. 277 00:14:18,080 --> 00:14:21,320 Speaker 1: So I'm all, like I mentioned earlier, I'm excited when 278 00:14:21,320 --> 00:14:24,120 Speaker 1: I get to talk to biologists, researcher, scientists, people that 279 00:14:24,240 --> 00:14:28,560 Speaker 1: have hard data to look at when and you know, I, 280 00:14:28,560 --> 00:14:30,960 Speaker 1: I would say, I go out there as a guy 281 00:14:31,000 --> 00:14:34,840 Speaker 1: that just learned by trial and error this works, just 282 00:14:34,920 --> 00:14:38,040 Speaker 1: doesn't work. Maybe I have an opinion why or why 283 00:14:38,080 --> 00:14:41,200 Speaker 1: it doesn't, but there's no data right besides it happening 284 00:14:41,280 --> 00:14:43,880 Speaker 1: multiple times or not. And so very excited to talk 285 00:14:43,880 --> 00:14:47,840 Speaker 1: to you today, Brock and kind of run some scenarios, questions, issues, 286 00:14:48,120 --> 00:14:49,880 Speaker 1: whatever it may be by you to see if you 287 00:14:49,920 --> 00:14:51,880 Speaker 1: know what the what the science supports. I know we 288 00:14:51,920 --> 00:14:53,880 Speaker 1: had a great conversation a week ago, and I got 289 00:14:53,880 --> 00:14:56,680 Speaker 1: excited about some of the things you had talked about about, 290 00:14:56,720 --> 00:14:59,040 Speaker 1: like cows coming into Estrus, why you you know adjacent 291 00:14:59,120 --> 00:15:02,440 Speaker 1: units are doing good. So really excited to jump in here. 292 00:15:03,840 --> 00:15:05,920 Speaker 1: So I'm gonna I'm gonna break this all the way 293 00:15:05,960 --> 00:15:08,240 Speaker 1: down to the foundation, and I don't feel that any 294 00:15:08,280 --> 00:15:11,600 Speaker 1: of this is below elk hunters. But let's start with 295 00:15:11,680 --> 00:15:14,520 Speaker 1: the elkra in general. I want to build this whole 296 00:15:14,520 --> 00:15:17,440 Speaker 1: conversation off that foundation. Can you just go into the 297 00:15:17,520 --> 00:15:22,120 Speaker 1: generalities of the elkred as far as timing, you know, 298 00:15:22,240 --> 00:15:24,480 Speaker 1: bulls going to cows, cows going to bulls, like, as 299 00:15:24,480 --> 00:15:26,600 Speaker 1: far as the bulls run the herd for that amount 300 00:15:26,640 --> 00:15:28,840 Speaker 1: of time, or do the lead cows run the run 301 00:15:28,880 --> 00:15:29,240 Speaker 1: the herd? 302 00:15:29,320 --> 00:15:29,400 Speaker 2: Like? 303 00:15:29,480 --> 00:15:32,960 Speaker 1: Just give us a five minute snapshot of the elk 304 00:15:33,040 --> 00:15:34,200 Speaker 1: rat and what's taking place. 305 00:15:34,560 --> 00:15:38,640 Speaker 2: So I think the el elkra is dictit yeh, I'm sorry, 306 00:15:38,760 --> 00:15:43,440 Speaker 2: is dictated by patrician is get dictated by birth. So 307 00:15:43,520 --> 00:15:49,240 Speaker 2: what's driving when the rut is is that that calf 308 00:15:49,840 --> 00:15:53,640 Speaker 2: has maximum new pretrition when it has maximum need, and 309 00:15:53,760 --> 00:15:59,880 Speaker 2: so the female the maximum energetic requirement is just prior 310 00:15:59,920 --> 00:16:03,400 Speaker 2: to weaning that calf. So the female gives birth like 311 00:16:03,520 --> 00:16:07,120 Speaker 2: right now the first of June, and for the next 312 00:16:07,240 --> 00:16:10,360 Speaker 2: three or four or sometimes six or seven months she's 313 00:16:10,440 --> 00:16:13,840 Speaker 2: nursing that young although she starts to wean in two 314 00:16:13,840 --> 00:16:17,520 Speaker 2: to three months, so she needs maximum food on the 315 00:16:17,560 --> 00:16:20,520 Speaker 2: ground in two to three months from right now to 316 00:16:20,600 --> 00:16:23,600 Speaker 2: help that calf grow as much as possible, and so 317 00:16:23,680 --> 00:16:28,400 Speaker 2: that dictates when the calf is born, and that's the 318 00:16:28,760 --> 00:16:31,640 Speaker 2: evolutionary force is going to drive that date. And then 319 00:16:31,800 --> 00:16:33,920 Speaker 2: gestation is two hundred and forty to two hundred and 320 00:16:33,960 --> 00:16:36,600 Speaker 2: fifty days, and so the rut has to happen two 321 00:16:36,640 --> 00:16:39,040 Speaker 2: hundred and forty to two hundred and fifty days before 322 00:16:39,160 --> 00:16:43,160 Speaker 2: that date for everything to be optimal. And so I 323 00:16:43,200 --> 00:16:46,320 Speaker 2: think that's what's driving when the rut happens. So if today, 324 00:16:46,840 --> 00:16:49,240 Speaker 2: which it is the peak of partrition on the unit 325 00:16:49,280 --> 00:16:56,400 Speaker 2: we're studying right now, were the peak Partrician, then like 326 00:16:56,440 --> 00:16:58,880 Speaker 2: the twenty fourth of September should have been the peak 327 00:16:58,920 --> 00:16:59,960 Speaker 2: of rut this last year. 328 00:17:00,640 --> 00:17:02,840 Speaker 1: Do you feel that those those two hundred and forty 329 00:17:02,960 --> 00:17:06,760 Speaker 1: days is that variable amongst units or is it kind 330 00:17:06,800 --> 00:17:10,639 Speaker 1: of pre programmed, like you said, into that evolutionary data, 331 00:17:10,800 --> 00:17:12,919 Speaker 1: or is it two hundred and fifty days for a 332 00:17:12,920 --> 00:17:15,800 Speaker 1: certain unit and two hundred and thirty days for a 333 00:17:15,800 --> 00:17:16,400 Speaker 1: different unit. 334 00:17:17,000 --> 00:17:20,240 Speaker 2: That's a great question. All we know about the gestation 335 00:17:20,480 --> 00:17:24,280 Speaker 2: is from captive ELK, and what we know in captive 336 00:17:24,280 --> 00:17:28,239 Speaker 2: ELK is gestation can vary from about two hundred and 337 00:17:28,240 --> 00:17:31,920 Speaker 2: forty to two hundred and sixty two days. I don't 338 00:17:31,920 --> 00:17:34,840 Speaker 2: think there's near that much variation. Those are the extremes. 339 00:17:35,320 --> 00:17:37,920 Speaker 2: I think that in general it varies from two hundred 340 00:17:37,960 --> 00:17:40,639 Speaker 2: and forty five to two hundred and fifty days. And 341 00:17:42,320 --> 00:17:45,720 Speaker 2: like humans, it's not everybody is exactly nine months. Some 342 00:17:45,760 --> 00:17:48,560 Speaker 2: come a couple of days shorter, some cold a couple 343 00:17:48,600 --> 00:17:52,119 Speaker 2: of days longer, in my case a week longer. And 344 00:17:52,160 --> 00:17:54,520 Speaker 2: I was eleven pounds that kind of thing. 345 00:17:55,160 --> 00:17:59,679 Speaker 1: Yeah, yeah, so let me I don't want to to 346 00:17:59,720 --> 00:18:03,680 Speaker 1: miss interpret your your numbers, but you're saying that it's 347 00:18:03,680 --> 00:18:06,040 Speaker 1: a fairly tight range. Because if you're saying only twenty 348 00:18:06,080 --> 00:18:11,600 Speaker 1: two days is the extreme ranges of the envelope, does 349 00:18:11,640 --> 00:18:14,520 Speaker 1: that mean all these elk or all these cows are 350 00:18:14,520 --> 00:18:17,719 Speaker 1: being bred within a very very short time window. Or 351 00:18:18,880 --> 00:18:20,760 Speaker 1: I mean, because we've all been out there, right, and 352 00:18:20,840 --> 00:18:23,679 Speaker 1: so we've heard bols, bigel and you know, end of 353 00:18:23,720 --> 00:18:26,080 Speaker 1: August all the way to the beginning of October, larger 354 00:18:26,119 --> 00:18:29,479 Speaker 1: herds seem to take longer. Are those all is that 355 00:18:29,520 --> 00:18:32,760 Speaker 1: red activity happening outside of the breeding or or is 356 00:18:32,800 --> 00:18:37,280 Speaker 1: it are those like anomalies or outliers Why that bull stays, 357 00:18:37,359 --> 00:18:39,800 Speaker 1: you know, kind of active and those cows are entering 358 00:18:39,960 --> 00:18:42,640 Speaker 1: estrius those kind of off times outside of that twenty 359 00:18:42,640 --> 00:18:44,320 Speaker 1: two day window you kind of just mentioned. 360 00:18:44,440 --> 00:18:48,840 Speaker 2: So so the twenty two day window is the gestation. 361 00:18:49,080 --> 00:18:52,240 Speaker 2: So that doesn't go oh, gotcha, gotcha. Yeah, that doesn't 362 00:18:52,240 --> 00:18:57,480 Speaker 2: dictate how long the red is because it we don't 363 00:18:57,520 --> 00:18:59,760 Speaker 2: have hard data yet. But what we think is happening 364 00:18:59,840 --> 00:19:02,919 Speaker 2: is a cow has to reach a certain condition level 365 00:19:03,440 --> 00:19:09,320 Speaker 2: before she can go into estress, and so healthy fat 366 00:19:09,320 --> 00:19:13,560 Speaker 2: cows come into estress earlier than poor condition cows, if 367 00:19:13,560 --> 00:19:18,920 Speaker 2: the poor condition cow comes into estress at all. And 368 00:19:19,680 --> 00:19:23,160 Speaker 2: so we had our first birth, Jason, nine days ago 369 00:19:23,200 --> 00:19:26,240 Speaker 2: now and we're already in the middle. But my guess 370 00:19:26,359 --> 00:19:30,960 Speaker 2: is that partrition our birthing will tell all the way 371 00:19:31,000 --> 00:19:35,560 Speaker 2: towards the end of June. And so yeah, absolutely, the 372 00:19:35,640 --> 00:19:41,320 Speaker 2: rout may start nine days before September twenty fourth start 373 00:19:41,400 --> 00:19:44,480 Speaker 2: going really good. So we're sitting at about September fifteenth 374 00:19:44,480 --> 00:19:50,199 Speaker 2: for these units here, and the majority of all the 375 00:19:50,280 --> 00:19:54,000 Speaker 2: animals are going to be bred by October fifth, but 376 00:19:54,080 --> 00:19:56,680 Speaker 2: there are some that were poor conditions that are still 377 00:19:56,720 --> 00:19:59,520 Speaker 2: trying to get to sufficient condition to go into estress, 378 00:20:00,040 --> 00:20:02,520 Speaker 2: and so it may lag. The rut may lag all 379 00:20:02,520 --> 00:20:04,000 Speaker 2: the way into the middle or even to the end 380 00:20:04,040 --> 00:20:07,399 Speaker 2: of October for those few straggler cows that are still 381 00:20:07,640 --> 00:20:09,760 Speaker 2: trying to get enough fat on their bones. 382 00:20:11,200 --> 00:20:14,000 Speaker 1: So I'm just trying to reduce this data to areas 383 00:20:14,000 --> 00:20:17,720 Speaker 1: i've hunted. So if you're in, let's say, a unit 384 00:20:17,760 --> 00:20:20,160 Speaker 1: that doesn't have necessarily the best winning ground and so 385 00:20:20,200 --> 00:20:24,000 Speaker 1: those cows go back into spring and summer in poorer condition, 386 00:20:24,640 --> 00:20:27,359 Speaker 1: is that where you may see that rut going longer 387 00:20:27,440 --> 00:20:29,680 Speaker 1: just because it's taking them a little bit more. Their 388 00:20:29,680 --> 00:20:31,439 Speaker 1: health doesn't is good, and so you may see that 389 00:20:31,520 --> 00:20:34,760 Speaker 1: rut go longer in those more mountainous units Versus if 390 00:20:34,760 --> 00:20:36,919 Speaker 1: you're in a low lying unit that has easy winners, 391 00:20:36,960 --> 00:20:38,760 Speaker 1: you may see them all come in like you said, 392 00:20:39,240 --> 00:20:41,920 Speaker 1: middle of September and hit all at the same time, 393 00:20:41,960 --> 00:20:44,679 Speaker 1: where you get a high percentage of your cows all 394 00:20:44,720 --> 00:20:48,040 Speaker 1: at once, versus you know, different levels or a spread 395 00:20:48,040 --> 00:20:49,119 Speaker 1: out array of health. 396 00:20:49,760 --> 00:20:53,119 Speaker 2: So that's a great question, and I don't know one 397 00:20:53,200 --> 00:20:55,359 Speaker 2: hundred percent of the answer. If I draw on deer 398 00:20:55,440 --> 00:20:58,720 Speaker 2: data so that they're a little different than elk, summer 399 00:20:58,800 --> 00:21:02,919 Speaker 2: habitat is way more important than winter habitat, And I 400 00:21:02,920 --> 00:21:05,040 Speaker 2: think it's true for elk too, unless they're feeding on 401 00:21:05,400 --> 00:21:11,040 Speaker 2: somebody'sself off al filled or haystack. And so what they 402 00:21:11,080 --> 00:21:15,199 Speaker 2: come out of winter in condition is dictated by the 403 00:21:15,200 --> 00:21:19,040 Speaker 2: condition they go into winter, and so what they have 404 00:21:19,119 --> 00:21:23,320 Speaker 2: to eat in the summer dictates more about it estross 405 00:21:23,359 --> 00:21:27,320 Speaker 2: than how mild the winters are where they're living, gotcha. 406 00:21:27,400 --> 00:21:30,640 Speaker 1: So they can they can overcome that hard winter through 407 00:21:30,720 --> 00:21:34,360 Speaker 1: their their feed and hell through you know, late spring summer, 408 00:21:34,680 --> 00:21:37,160 Speaker 1: and then that will get them back to kicking their 409 00:21:37,280 --> 00:21:39,920 Speaker 1: estress off at the right time. 410 00:21:39,960 --> 00:21:43,840 Speaker 2: Right because because their their condition is September is dictating 411 00:21:44,560 --> 00:21:47,520 Speaker 2: what is happening, and so they have the ability to 412 00:21:47,560 --> 00:21:50,359 Speaker 2: overcome anything that happened in winter. Every elk on the 413 00:21:50,440 --> 00:21:54,359 Speaker 2: landscape in an area that has real winters basically is 414 00:21:54,400 --> 00:21:57,080 Speaker 2: burnt through all of their energy reserves by the end 415 00:21:57,080 --> 00:22:03,040 Speaker 2: of winter, and and they're running on fumes, especially true 416 00:22:03,040 --> 00:22:06,440 Speaker 2: for deer, but elk two they're running on fumes by 417 00:22:06,800 --> 00:22:08,800 Speaker 2: by April. Gotcha. 418 00:22:08,880 --> 00:22:13,440 Speaker 1: Okay, Yeah, I think that that's a great, great conversation, 419 00:22:13,520 --> 00:22:15,280 Speaker 1: and I'm sure there's a little little side pieces we 420 00:22:15,280 --> 00:22:17,400 Speaker 1: could pick at there or there for a long time. 421 00:22:18,280 --> 00:22:22,000 Speaker 1: So during that rut, in your opinion, you know, at 422 00:22:22,080 --> 00:22:24,840 Speaker 1: least in my area up in the mountains, you know, 423 00:22:24,880 --> 00:22:28,439 Speaker 1: the bulls like to hang out together through July most August, 424 00:22:28,480 --> 00:22:30,240 Speaker 1: and then towards the end of August. In the middle 425 00:22:30,280 --> 00:22:32,359 Speaker 1: of August, we can start to see these bulls split 426 00:22:32,480 --> 00:22:34,600 Speaker 1: up and the cows have hung out by themselves, maybe 427 00:22:34,600 --> 00:22:39,800 Speaker 1: some immature bulls. And you're is there or data that 428 00:22:39,880 --> 00:22:42,160 Speaker 1: supports the bulls going to the cows or the cows 429 00:22:42,200 --> 00:22:43,800 Speaker 1: going to the bulls. As you know, let's say you're 430 00:22:43,840 --> 00:22:45,840 Speaker 1: running trail cameras and you've got all these pictures of 431 00:22:45,880 --> 00:22:49,080 Speaker 1: bulls and they disappear. Should I go to the nearest 432 00:22:49,280 --> 00:22:52,280 Speaker 1: location of cows or what what's going on there during 433 00:22:52,320 --> 00:22:52,840 Speaker 1: the rut? 434 00:22:53,080 --> 00:22:56,840 Speaker 2: So so, we have about seven years of data on 435 00:22:57,359 --> 00:23:00,800 Speaker 2: this question. We haven't looked at it pecifically the way 436 00:23:00,840 --> 00:23:06,160 Speaker 2: you're asking here, but it appears that when bulls lose 437 00:23:06,200 --> 00:23:12,439 Speaker 2: the velvet, they start heading for traditional running grounds, and 438 00:23:12,520 --> 00:23:16,359 Speaker 2: the cows do too, and so they have areas that 439 00:23:16,400 --> 00:23:18,480 Speaker 2: they meet and it may be very different than where 440 00:23:18,480 --> 00:23:22,280 Speaker 2: they've spent the whole summer, either of them. If that 441 00:23:22,359 --> 00:23:22,879 Speaker 2: makes sense. 442 00:23:23,640 --> 00:23:29,360 Speaker 1: Yeah, I would say, just in my observation, the cows 443 00:23:29,400 --> 00:23:31,600 Speaker 1: seem to be closer to that running area, because it 444 00:23:31,680 --> 00:23:34,000 Speaker 1: always seems like my bulls will up and leave, you know, 445 00:23:34,040 --> 00:23:35,720 Speaker 1: go a mile in a direction. But I know that 446 00:23:35,760 --> 00:23:37,600 Speaker 1: there was a majority of cows over there, and that's 447 00:23:37,600 --> 00:23:40,400 Speaker 1: one of the reasons I always like when I'm scouting, 448 00:23:40,480 --> 00:23:42,680 Speaker 1: not necessarily look for elk, not necessarily look for sign 449 00:23:42,680 --> 00:23:44,800 Speaker 1: at the time, but like, where are the rubs? The 450 00:23:44,880 --> 00:23:47,480 Speaker 1: rubs were like a great indicator of where they're running 451 00:23:47,480 --> 00:23:50,920 Speaker 1: and where they're going to spend that September. But yeah, 452 00:23:51,280 --> 00:23:53,080 Speaker 1: if they both move, I could see that. But I've 453 00:23:53,119 --> 00:23:55,840 Speaker 1: always just assumed that the bulls are going to leave 454 00:23:55,880 --> 00:23:58,640 Speaker 1: their location to go find the cows. But you're saying 455 00:23:58,680 --> 00:24:01,760 Speaker 1: that there is some research or indication that those cows 456 00:24:01,840 --> 00:24:03,639 Speaker 1: also may leave their area and go to like a 457 00:24:03,680 --> 00:24:06,080 Speaker 1: neutral spot or a meetup spot. 458 00:24:05,760 --> 00:24:10,320 Speaker 2: So the cow calf nursing grounds are often very similar 459 00:24:10,359 --> 00:24:12,600 Speaker 2: to the running grounds, and so you're already going to 460 00:24:12,680 --> 00:24:14,960 Speaker 2: find cows that are often but cows will move to 461 00:24:15,000 --> 00:24:15,960 Speaker 2: those grounds as well. 462 00:24:16,720 --> 00:24:19,760 Speaker 1: Gotcha. That wins up real well with what I've seen, 463 00:24:21,280 --> 00:24:23,480 Speaker 1: and a lot of people get frustrated with only having 464 00:24:23,520 --> 00:24:26,800 Speaker 1: cows on their cameras and like, well, unless you're looking 465 00:24:26,800 --> 00:24:28,959 Speaker 1: for specific bulls like just hang out there, because I 466 00:24:29,000 --> 00:24:31,240 Speaker 1: think those bulls will eventually show. 467 00:24:31,080 --> 00:24:31,520 Speaker 2: In that area. 468 00:24:31,520 --> 00:24:33,600 Speaker 1: They may just be hanging out in the secluded type 469 00:24:33,600 --> 00:24:35,920 Speaker 1: basin or whatnot, or non visible. 470 00:24:36,160 --> 00:24:40,119 Speaker 2: They may be three, four, ten miles away. We have 471 00:24:40,240 --> 00:24:43,240 Speaker 2: some that move. I think we have one bull that 472 00:24:43,359 --> 00:24:47,200 Speaker 2: I looked at in particular that went seventeen miles from 473 00:24:47,480 --> 00:24:51,560 Speaker 2: like the twentieth of August to the tenth of September. 474 00:24:51,800 --> 00:24:55,240 Speaker 1: Yeah, that's amazing. You know, it does you no good 475 00:24:55,280 --> 00:24:57,360 Speaker 1: to scout there, And that's why we always recommend scouting 476 00:24:57,440 --> 00:25:00,440 Speaker 1: is absolutely close to your season as possible because things 477 00:25:00,480 --> 00:25:02,880 Speaker 1: are going to change, you know, in addition to pressure 478 00:25:02,920 --> 00:25:04,879 Speaker 1: on the landscape, you know, elk are just going to 479 00:25:05,000 --> 00:25:07,119 Speaker 1: move regardless. 480 00:25:06,840 --> 00:25:10,560 Speaker 2: Absolutely, and Utah archery season is like August fifteenth to 481 00:25:10,600 --> 00:25:15,960 Speaker 2: September seventeenth. And the bulls that are there, you know 482 00:25:16,040 --> 00:25:17,960 Speaker 2: as well as me, you scout them all summer and 483 00:25:17,960 --> 00:25:20,920 Speaker 2: you go, I'm gonna start opening day this canyon and 484 00:25:20,960 --> 00:25:24,639 Speaker 2: that's about the time they start losing velvet and there 485 00:25:24,680 --> 00:25:26,359 Speaker 2: they may be there one or two days and then 486 00:25:26,440 --> 00:25:29,200 Speaker 2: every one of them disappears from that canyon. You've scouted 487 00:25:29,200 --> 00:25:30,200 Speaker 2: it all summer. 488 00:25:30,520 --> 00:25:34,320 Speaker 1: Yep, we've got some good, good intel from guys that 489 00:25:34,359 --> 00:25:35,960 Speaker 1: pay a lot of attention, like in Nevada. You know, 490 00:25:35,960 --> 00:25:39,280 Speaker 1: they've got such an early season where he saw fifty 491 00:25:39,320 --> 00:25:43,560 Speaker 1: plus mature bowls within a tight little pocket, and they're 492 00:25:43,600 --> 00:25:45,439 Speaker 1: there so early that he said, as you see the 493 00:25:45,520 --> 00:25:47,680 Speaker 1: rut like wind up. By time it was over, there 494 00:25:47,720 --> 00:25:50,520 Speaker 1: were like two of those fifty bulls were left there 495 00:25:50,680 --> 00:25:53,679 Speaker 1: or even in adjacent canyons. They just they all that 496 00:25:53,800 --> 00:25:56,480 Speaker 1: was their spot to you know, sit in the velvet 497 00:25:56,520 --> 00:25:58,880 Speaker 1: and eat the best green or whatever they had going. 498 00:25:58,880 --> 00:26:02,399 Speaker 1: And then instantly the starts and they all filtered out 499 00:26:02,400 --> 00:26:04,920 Speaker 1: of there, besides a couple of bulls. And so you know, 500 00:26:04,960 --> 00:26:07,480 Speaker 1: we got some good data that those things just literally disappear. 501 00:26:08,440 --> 00:26:11,920 Speaker 2: There's really good biological reasons for that, and it's been 502 00:26:11,920 --> 00:26:15,040 Speaker 2: studied quite a bit. So cows of bulls have very 503 00:26:15,040 --> 00:26:20,159 Speaker 2: different selective pressures. Cows are generally selecting habitat where they 504 00:26:20,200 --> 00:26:22,919 Speaker 2: can feed their offspring, but also where their offspring are 505 00:26:22,960 --> 00:26:27,119 Speaker 2: protected from predators, and bulls don't really worry about predators 506 00:26:27,119 --> 00:26:30,080 Speaker 2: near as much, so they always go to the absolute 507 00:26:30,160 --> 00:26:35,400 Speaker 2: best habitat that they confind to put on mass. And 508 00:26:35,480 --> 00:26:39,439 Speaker 2: so because of those two different selective pressures they're offering 509 00:26:39,520 --> 00:26:40,639 Speaker 2: separated in the summer. 510 00:26:56,640 --> 00:26:59,200 Speaker 1: I'm gonna ask one more question here on just stuff 511 00:26:59,240 --> 00:27:00,840 Speaker 1: that I want to know about the elkrat and what 512 00:27:00,920 --> 00:27:06,160 Speaker 1: I've perceived. And the question is which elk runs the herd? 513 00:27:06,400 --> 00:27:08,679 Speaker 1: Is it? Is it the bowl the herd bowl, or 514 00:27:08,720 --> 00:27:11,520 Speaker 1: is it that lead cow? Or is it dual duty? 515 00:27:11,880 --> 00:27:14,720 Speaker 1: Because in my opinion, i've seen like dual duty. But 516 00:27:14,760 --> 00:27:17,320 Speaker 1: I'm going to listen to your answer and then maybe 517 00:27:18,119 --> 00:27:19,680 Speaker 1: throwing some of my experience there. 518 00:27:20,640 --> 00:27:22,719 Speaker 2: That's a great question, and I don't know the answer. 519 00:27:22,760 --> 00:27:25,719 Speaker 2: I do know that when they're not together, it's that 520 00:27:25,800 --> 00:27:29,359 Speaker 2: lead cow. Of course. In fact, we have we have cows. 521 00:27:29,680 --> 00:27:35,000 Speaker 2: Their social structures pretty fluid, meaning that the groups that 522 00:27:35,040 --> 00:27:38,359 Speaker 2: are living together. You may have these fifteen together today 523 00:27:38,359 --> 00:27:40,040 Speaker 2: and four of them pick up and move over and 524 00:27:40,119 --> 00:27:42,800 Speaker 2: join this group. And that's what I mean by fluid. 525 00:27:42,880 --> 00:27:48,240 Speaker 2: They change who they're with regularly. And we have out 526 00:27:48,280 --> 00:27:50,960 Speaker 2: the migrate in the winter, and where they migrate to 527 00:27:51,400 --> 00:27:54,520 Speaker 2: is dictated by the lead cow. So I have we 528 00:27:54,600 --> 00:27:58,160 Speaker 2: have cows we've been monitoring for five years and they 529 00:27:58,200 --> 00:28:01,320 Speaker 2: go to a different place every single winter, and it's 530 00:28:01,359 --> 00:28:04,520 Speaker 2: based on who they're with, and so I the a 531 00:28:04,560 --> 00:28:10,000 Speaker 2: dope female is very or the matriarch, whoever, the dominant 532 00:28:10,000 --> 00:28:11,879 Speaker 2: female in the group is the one that drives a 533 00:28:11,920 --> 00:28:15,680 Speaker 2: lot of it. I'm not sure about males. I think 534 00:28:15,680 --> 00:28:19,360 Speaker 2: it's got to be a combination because of that matriarchal 535 00:28:19,400 --> 00:28:21,320 Speaker 2: lineage is so wrong. 536 00:28:21,960 --> 00:28:24,920 Speaker 1: Yeah, And that's that's what I've seen, is it seems 537 00:28:25,040 --> 00:28:28,320 Speaker 1: like as long as everything's going the way the bull 538 00:28:28,400 --> 00:28:30,560 Speaker 1: wants it to, and he's not being pestered by satellite 539 00:28:30,640 --> 00:28:33,879 Speaker 1: cows or he's not being pressured by people, hunters, predators, 540 00:28:34,280 --> 00:28:37,440 Speaker 1: the lead cow kind of leads the herd back into 541 00:28:37,480 --> 00:28:40,000 Speaker 1: their bedding area. She kind of leads them out to feed. 542 00:28:40,120 --> 00:28:42,840 Speaker 1: She's the one that you know, gets up when it's 543 00:28:42,840 --> 00:28:44,600 Speaker 1: time to leave bed and come back out to feed. 544 00:28:44,640 --> 00:28:47,000 Speaker 1: And all of those what I would call just you know, 545 00:28:47,040 --> 00:28:49,720 Speaker 1: the daily decisions that that herd is making and what 546 00:28:49,720 --> 00:28:51,640 Speaker 1: they're going through with Now where I see the bull, 547 00:28:52,160 --> 00:28:53,920 Speaker 1: there have been times where you know, he rounds his 548 00:28:53,960 --> 00:28:56,120 Speaker 1: cows up and pushes them, you know, he gets force full, 549 00:28:56,160 --> 00:28:58,960 Speaker 1: He uses you know, horns, uses his stature or whatever 550 00:28:58,960 --> 00:29:01,480 Speaker 1: he needs to, and he will times force that herd 551 00:29:01,920 --> 00:29:03,600 Speaker 1: to go where he wants them to, whether it's to 552 00:29:03,720 --> 00:29:06,400 Speaker 1: escape danger, get him away from other bulls, whatever it 553 00:29:06,440 --> 00:29:08,880 Speaker 1: may be. I've also seen like the bull push the 554 00:29:08,920 --> 00:29:11,880 Speaker 1: cows off so that he can come back and either 555 00:29:11,960 --> 00:29:15,600 Speaker 1: check out a bowl or confront a bowl that's pestering him. 556 00:29:15,880 --> 00:29:18,200 Speaker 1: So I feel like it's a dual relationship. But I 557 00:29:18,200 --> 00:29:21,560 Speaker 1: think if we weren't to interject, and if we weren't 558 00:29:21,560 --> 00:29:24,360 Speaker 1: to spook the bowl or predators weren't, the lead cow 559 00:29:24,440 --> 00:29:27,160 Speaker 1: is going to do the majority of the leading and 560 00:29:27,240 --> 00:29:30,120 Speaker 1: that herd, even during the rut, until that bull feels 561 00:29:30,160 --> 00:29:32,080 Speaker 1: pestered enough where there's a reason enough he wants to 562 00:29:32,120 --> 00:29:33,840 Speaker 1: move those cows, he physically does. 563 00:29:34,920 --> 00:29:38,760 Speaker 2: So I think that's generally true, that's supported by I mean, 564 00:29:38,760 --> 00:29:41,760 Speaker 2: nobody's really looked at who's driving it that I know 565 00:29:41,800 --> 00:29:44,480 Speaker 2: of anyway, nobody's really looked at who's driving their movement 566 00:29:44,840 --> 00:29:47,480 Speaker 2: or their behavior during the rut. But during the rest 567 00:29:47,520 --> 00:29:50,560 Speaker 2: of the year it's the lead cow, and I just 568 00:29:51,240 --> 00:29:53,280 Speaker 2: I find it hard to think that that's how it 569 00:29:53,320 --> 00:29:57,479 Speaker 2: goes for forty seven months of the year and then 570 00:29:57,560 --> 00:30:02,920 Speaker 2: five months of the year bull comes in and takes over. Ultimately, 571 00:30:03,920 --> 00:30:06,320 Speaker 2: ultimately the cow chooses to be with the bull or 572 00:30:06,560 --> 00:30:09,360 Speaker 2: to let the bull there. I mean, yep, she's the 573 00:30:09,400 --> 00:30:11,719 Speaker 2: final choice whether she's gonna mate with that bull or not. 574 00:30:12,080 --> 00:30:13,800 Speaker 2: He may be the dominant bull and not let any 575 00:30:13,840 --> 00:30:16,040 Speaker 2: of the bulls, but she only has to take one 576 00:30:16,080 --> 00:30:19,920 Speaker 2: step if she doesn't want to make may with him. Yep, yep. 577 00:30:21,360 --> 00:30:24,680 Speaker 1: No, that just some general questions about the Elkret kind 578 00:30:24,720 --> 00:30:26,080 Speaker 1: of what I've thought. And so now we're going to 579 00:30:26,160 --> 00:30:29,720 Speaker 1: run into rut timing, which is I botched the gestational 580 00:30:29,760 --> 00:30:31,760 Speaker 1: period there in the last time. Now we're really talking 581 00:30:31,760 --> 00:30:35,360 Speaker 1: about rut timing and when things start to get going, 582 00:30:36,080 --> 00:30:38,200 Speaker 1: and a lot of it may be perceived. There may 583 00:30:38,240 --> 00:30:41,760 Speaker 1: be people thinking the rut's going cranking at the end 584 00:30:41,760 --> 00:30:43,760 Speaker 1: of August when we all know that's not happening, but 585 00:30:43,760 --> 00:30:45,640 Speaker 1: they're here in Beagle, so they is perceived that the 586 00:30:45,720 --> 00:30:48,960 Speaker 1: rut's you know, going at that time. So in my opinion, 587 00:30:49,800 --> 00:30:52,040 Speaker 1: it's based on photo period. But I'm going to let 588 00:30:52,080 --> 00:30:55,360 Speaker 1: you kind of jump in and and you kind of 589 00:30:55,360 --> 00:30:58,280 Speaker 1: already answered this, I guess above when we're talking about 590 00:30:58,400 --> 00:31:00,960 Speaker 1: you know, getting that cap on the around at the 591 00:31:00,960 --> 00:31:05,160 Speaker 1: optimal time and then going backwards based on gestation from that. 592 00:31:05,360 --> 00:31:09,520 Speaker 1: But in your opinion is that kicked off by photo period, 593 00:31:09,560 --> 00:31:12,160 Speaker 1: which we you know, I think is a general consensus 594 00:31:12,400 --> 00:31:15,160 Speaker 1: which lets them know that they're two hundred and fifty days, 595 00:31:15,360 --> 00:31:18,040 Speaker 1: you know ahead, like that's their their their clock or 596 00:31:18,560 --> 00:31:21,080 Speaker 1: what other factors affect kicking off the rut. 597 00:31:21,200 --> 00:31:28,080 Speaker 2: So how it works JSON is is the evolutionary selective pressure. 598 00:31:28,320 --> 00:31:30,600 Speaker 2: If the female gives birth at the right time of year, 599 00:31:31,600 --> 00:31:34,760 Speaker 2: she's more likely to have an offspring survived, and if 600 00:31:34,760 --> 00:31:36,720 Speaker 2: a female gives birth at the wrong time of year, 601 00:31:36,920 --> 00:31:41,320 Speaker 2: she's less likely. And so if the successful female continues 602 00:31:41,360 --> 00:31:45,560 Speaker 2: to be successful pretty soon that timing becomes the main 603 00:31:45,640 --> 00:31:48,160 Speaker 2: timing because she's had all the calves and the ones 604 00:31:48,200 --> 00:31:52,920 Speaker 2: at other times haven't. That's what drives that partriition timing, 605 00:31:53,240 --> 00:31:55,760 Speaker 2: and that's what drives the timing of the rut. So 606 00:31:56,080 --> 00:32:01,200 Speaker 2: it is. But but they don't say, oh, I need 607 00:32:01,240 --> 00:32:03,160 Speaker 2: to give birth on June first, so I'm going to 608 00:32:03,240 --> 00:32:05,160 Speaker 2: count back two hundred and fifty days. Of course they 609 00:32:05,160 --> 00:32:09,200 Speaker 2: don't do that, So they've tied it to what's called 610 00:32:09,320 --> 00:32:13,720 Speaker 2: a zite gaber that's zeit ge b e er, which 611 00:32:13,760 --> 00:32:17,840 Speaker 2: is a German word that means timekeeper, and all animals 612 00:32:17,880 --> 00:32:22,120 Speaker 2: you and I have an internal clock. You're younger than me, 613 00:32:22,360 --> 00:32:25,680 Speaker 2: but I wake up every morning at like five minutes 614 00:32:25,720 --> 00:32:29,080 Speaker 2: after six, and that's an internal clock in me. And 615 00:32:29,120 --> 00:32:35,360 Speaker 2: that internal clock in mammals is regulated. In general, the 616 00:32:35,560 --> 00:32:41,000 Speaker 2: primary thing that's regulated by is photo period. The zite 617 00:32:41,040 --> 00:32:46,200 Speaker 2: gaber or the timekeeper or the clock setter is photo period. 618 00:32:46,920 --> 00:32:51,120 Speaker 2: It can be resources, it can be a few other things, 619 00:32:51,160 --> 00:32:55,480 Speaker 2: but the primary thing in mammals is photo period. And 620 00:32:55,520 --> 00:32:58,360 Speaker 2: so that is what the brain is using to tell 621 00:32:58,520 --> 00:33:03,160 Speaker 2: a bull elk and his testosterone levels should increase. And 622 00:33:03,200 --> 00:33:08,280 Speaker 2: when his testosterol levels increase, that's when his antler's harden 623 00:33:08,680 --> 00:33:12,080 Speaker 2: and he sheds the velvet, and that's when he starts 624 00:33:12,120 --> 00:33:17,800 Speaker 2: into his test he's in large and he starts searching 625 00:33:17,840 --> 00:33:21,680 Speaker 2: for potential mates. And so yeah, it absolutely can happen 626 00:33:21,720 --> 00:33:23,760 Speaker 2: at the end of August that he starts searching for 627 00:33:23,840 --> 00:33:26,240 Speaker 2: potential mates when there's none available. 628 00:33:27,440 --> 00:33:30,560 Speaker 1: Gotcha. And then to wind it back a little bit, 629 00:33:30,880 --> 00:33:34,240 Speaker 1: we talked about cows and their health affecting that are 630 00:33:34,280 --> 00:33:38,959 Speaker 1: the cows they know by based on I'm not going 631 00:33:39,000 --> 00:33:41,000 Speaker 1: to even try to resay the word you did it 632 00:33:41,000 --> 00:33:42,520 Speaker 1: sound like lightsaber. 633 00:33:44,040 --> 00:33:44,160 Speaker 2: Light? 634 00:33:45,160 --> 00:33:48,360 Speaker 1: There you go, there you go there. The elks lightsaber, 635 00:33:49,160 --> 00:33:51,320 Speaker 1: So if you were to look at that, they know 636 00:33:51,480 --> 00:33:54,400 Speaker 1: they need to you know, based on that, which is 637 00:33:54,480 --> 00:33:57,200 Speaker 1: a lot to do with photo period and the light 638 00:33:57,240 --> 00:33:59,760 Speaker 1: that they're getting. They know they need to try to 639 00:33:59,800 --> 00:34:01,600 Speaker 1: be you know, two hundred and forty to two hundred 640 00:34:01,600 --> 00:34:04,120 Speaker 1: and fifty days ahead. But then their health also affects that, 641 00:34:04,320 --> 00:34:06,880 Speaker 1: so right, so it's a little bit of a balance, 642 00:34:06,960 --> 00:34:09,200 Speaker 1: like they know they need to come in now, but 643 00:34:09,360 --> 00:34:12,040 Speaker 1: it may take five, ten, fifteen, twenty days based on 644 00:34:12,080 --> 00:34:14,040 Speaker 1: them getting their health to a certain point. So they're 645 00:34:14,080 --> 00:34:16,279 Speaker 1: just constantly trying to their bodies telling them too, but 646 00:34:16,320 --> 00:34:18,040 Speaker 1: they just can't. Is that how that works? 647 00:34:18,239 --> 00:34:22,920 Speaker 2: So yes, yes, and no, so they don't ever make 648 00:34:22,960 --> 00:34:26,520 Speaker 2: a conscious decision. Evolution has dictated that when days are 649 00:34:26,520 --> 00:34:30,640 Speaker 2: this long, that's the optimal time to go into estress, 650 00:34:31,440 --> 00:34:35,560 Speaker 2: and so or actually, when nights are this long, uninterrupted 651 00:34:35,640 --> 00:34:38,319 Speaker 2: darkness is what really regulates it. So when nights are 652 00:34:38,320 --> 00:34:42,160 Speaker 2: this long, that's what the optimal time to go into estress. 653 00:34:42,480 --> 00:34:46,800 Speaker 2: But if a female carried a calf the whole summer, 654 00:34:46,920 --> 00:34:49,600 Speaker 2: or she nursed a calf the whole summer, she's still 655 00:34:49,640 --> 00:34:53,120 Speaker 2: trying to recover and so she may be delayed if 656 00:34:53,160 --> 00:34:56,359 Speaker 2: she was successful in raising a calf. Same thing. If 657 00:34:56,400 --> 00:34:59,600 Speaker 2: you're living in a marginal habitat and you had to 658 00:34:59,640 --> 00:35:02,920 Speaker 2: really severe winner and you had a calf, you're going 659 00:35:03,000 --> 00:35:05,439 Speaker 2: to be delayed a little bit. If you're older, you're 660 00:35:05,480 --> 00:35:08,200 Speaker 2: always in poorer condition, and maybe it delayed a little bit. 661 00:35:08,760 --> 00:35:12,160 Speaker 2: So evolution is dictated the optimal, but there's a lot 662 00:35:12,160 --> 00:35:14,880 Speaker 2: of other forces pushing them off the optimal. 663 00:35:15,920 --> 00:35:17,919 Speaker 1: Gotcha that makes that makes a lot of sense there 664 00:35:19,640 --> 00:35:24,080 Speaker 1: in your opinion, And I know we see it a 665 00:35:24,080 --> 00:35:28,560 Speaker 1: lot more drastic in the deer population. But is the 666 00:35:28,680 --> 00:35:31,799 Speaker 1: rut timing based you know, we've already talked about it 667 00:35:31,800 --> 00:35:35,240 Speaker 1: being based on photo period, Which does that coordinate directly 668 00:35:35,280 --> 00:35:37,680 Speaker 1: with latitude or does latitude itself have anything to do 669 00:35:37,760 --> 00:35:41,200 Speaker 1: with that aside from the days being shorter or longer 670 00:35:41,239 --> 00:35:43,000 Speaker 1: than you know, a different latitude. 671 00:35:43,480 --> 00:35:49,360 Speaker 2: Sure, we we don't have a strong analysis on the 672 00:35:49,360 --> 00:35:54,360 Speaker 2: effect of latitude for ELK, although we've just developed a 673 00:35:54,400 --> 00:35:57,839 Speaker 2: mathematical model where we can look at timing of partration 674 00:35:58,000 --> 00:36:00,480 Speaker 2: based on movement patterns and so we can look at that. 675 00:36:01,000 --> 00:36:05,320 Speaker 2: But definitely in deer, uh, there is a strong Latin 676 00:36:05,640 --> 00:36:08,200 Speaker 2: latitudinal effect. So you would expect it to be similar 677 00:36:08,239 --> 00:36:12,400 Speaker 2: in Elk as well, and that is as you go north, 678 00:36:13,040 --> 00:36:18,320 Speaker 2: the rut becomes earlier, which I have a little counterintuitive maybe 679 00:36:18,320 --> 00:36:19,000 Speaker 2: for some people. 680 00:36:20,040 --> 00:36:23,080 Speaker 1: Yeah, and and I mean it's very noticeable and deer 681 00:36:23,120 --> 00:36:25,399 Speaker 1: you know, I was down in Mexico Cus deer hunting 682 00:36:25,440 --> 00:36:27,479 Speaker 1: this year in the end of January, and the Cus 683 00:36:27,480 --> 00:36:30,759 Speaker 1: deer were, you know, going crazy down there still, you know, 684 00:36:30,880 --> 00:36:33,719 Speaker 1: or I like the Arizona over the counter archery taking 685 00:36:33,880 --> 00:36:37,200 Speaker 1: meal deer rutting into December through the middle of January, 686 00:36:37,280 --> 00:36:40,640 Speaker 1: and our ruts, you know, two months gone. But it 687 00:36:40,719 --> 00:36:42,840 Speaker 1: doesn't It seems like I can go down to New 688 00:36:42,920 --> 00:36:46,040 Speaker 1: Mexico and Elk hunt and the ruts the same same, 689 00:36:46,440 --> 00:36:48,440 Speaker 1: you know, about the same spot as they are up 690 00:36:48,480 --> 00:36:50,840 Speaker 1: here in Washington. Maybe a few days either way. But 691 00:36:51,239 --> 00:36:53,239 Speaker 1: I was I've always been curious if there's anything that 692 00:36:53,280 --> 00:36:57,200 Speaker 1: supports that latitude difference like it does on the deer side. 693 00:36:57,520 --> 00:37:00,640 Speaker 2: So yeah, I don't know. Have me back next year 694 00:37:00,680 --> 00:37:03,560 Speaker 2: and I should be able to answer that question more completely. 695 00:37:04,120 --> 00:37:06,719 Speaker 2: Even in Utah, from northern part of the state to 696 00:37:06,760 --> 00:37:08,640 Speaker 2: the southern part of the state, there's a full two 697 00:37:08,680 --> 00:37:15,000 Speaker 2: weeks difference in deer yep. With the northern part of 698 00:37:15,040 --> 00:37:20,520 Speaker 2: the state, peak partraition is about June fifth for deer, 699 00:37:20,560 --> 00:37:22,239 Speaker 2: and in the southern part of the state it's like 700 00:37:22,320 --> 00:37:27,400 Speaker 2: June twenty third, June twenty second, So you bacnate from that, 701 00:37:27,520 --> 00:37:31,399 Speaker 2: and so that I mean, that's that's a huge difference latitudinal. 702 00:37:31,800 --> 00:37:35,360 Speaker 2: I would expect there's some of that in elk, but 703 00:37:35,440 --> 00:37:36,400 Speaker 2: I don't know for sure. 704 00:37:36,960 --> 00:37:41,080 Speaker 1: Yeah, to wrap up rut timing, are there any other 705 00:37:41,160 --> 00:37:44,960 Speaker 1: factors that are you know, that correlate high enough that 706 00:37:44,840 --> 00:37:47,640 Speaker 1: that's worth talking about. Is it really just based on 707 00:37:47,800 --> 00:37:50,120 Speaker 1: that photo period and in the length of the night? 708 00:37:50,400 --> 00:37:53,520 Speaker 2: No. I think the one factor that that we haven't 709 00:37:53,520 --> 00:37:57,120 Speaker 2: touched on maybe enough. We have a pretty popular unit 710 00:37:57,160 --> 00:37:59,600 Speaker 2: in Utah. It's called the Book Cliffs. It's a really 711 00:38:00,239 --> 00:38:02,600 Speaker 2: it's a limited entry deer unit, and it's a limited 712 00:38:02,719 --> 00:38:08,880 Speaker 2: entry elk unit, and it's what I would call summer 713 00:38:09,000 --> 00:38:13,000 Speaker 2: range limited habitat and get in effect, it's marginal habitat. 714 00:38:13,040 --> 00:38:15,479 Speaker 2: There's just not a lot of summer range for elk, 715 00:38:16,320 --> 00:38:19,920 Speaker 2: and in dry years, elk are in relatively poor condition, 716 00:38:20,160 --> 00:38:22,160 Speaker 2: and only in the best of best years are they 717 00:38:22,200 --> 00:38:26,400 Speaker 2: in good condition. But the cool thing if if the 718 00:38:26,480 --> 00:38:31,000 Speaker 2: herd in general is in poor condition, the rut will 719 00:38:31,040 --> 00:38:35,000 Speaker 2: be much more spread out, and if the herd is 720 00:38:35,000 --> 00:38:38,520 Speaker 2: in really good condition, the rut will be much more punctuated. 721 00:38:39,200 --> 00:38:41,880 Speaker 1: Does that make sense, Yeah, yeah, so that the the 722 00:38:41,920 --> 00:38:44,600 Speaker 1: elk don't have to spread out to find resources and 723 00:38:45,239 --> 00:38:48,080 Speaker 1: find food and you know, and spread out the cows. 724 00:38:48,120 --> 00:38:50,400 Speaker 1: They're they're all able to kind of be in that 725 00:38:50,480 --> 00:38:52,480 Speaker 1: prime prime area. 726 00:38:52,280 --> 00:38:55,040 Speaker 2: That but I think it's because they're all in good 727 00:38:55,160 --> 00:38:57,600 Speaker 2: enough condition to come into astris at the optimal date, 728 00:38:57,680 --> 00:39:02,200 Speaker 2: whereas in poor condition, they're just they're just straggling in 729 00:39:02,320 --> 00:39:05,840 Speaker 2: getting to that critical condition they need to go into estrs. 730 00:39:05,840 --> 00:39:10,600 Speaker 2: And so let me give you an example. One year, 731 00:39:10,840 --> 00:39:13,920 Speaker 2: we had forty forty bursts that we were monitoring, and 732 00:39:13,960 --> 00:39:17,879 Speaker 2: all forty of those bursts occurred I believe between May 733 00:39:17,920 --> 00:39:21,799 Speaker 2: twenty fifth and like June twenty ninth, and the next 734 00:39:21,880 --> 00:39:25,279 Speaker 2: year bursts started on May fifteenth, and they all they 735 00:39:25,280 --> 00:39:27,359 Speaker 2: went all the way into the middle of July. They 736 00:39:27,400 --> 00:39:31,560 Speaker 2: were spread out over two full months, and that they 737 00:39:31,640 --> 00:39:36,080 Speaker 2: were in really bad condition the previous rut season. And 738 00:39:36,160 --> 00:39:41,000 Speaker 2: so I just think that it can be spread out 739 00:39:41,040 --> 00:39:44,480 Speaker 2: a lot more in herds that are old or in 740 00:39:44,560 --> 00:39:46,480 Speaker 2: herds that are living in marginal habitat. 741 00:39:48,120 --> 00:39:51,600 Speaker 1: That makes sense. Not that I would necessarily apply for 742 00:39:51,840 --> 00:39:54,600 Speaker 1: units around that that idea, but it's it's great to 743 00:39:54,680 --> 00:39:57,880 Speaker 1: note that it does exist. And you know, you know, 744 00:39:57,880 --> 00:40:00,319 Speaker 1: if you if you had an October season that went 745 00:40:00,360 --> 00:40:02,279 Speaker 1: into some of these marginal units, you may still hit 746 00:40:02,320 --> 00:40:04,360 Speaker 1: the rut. You know, I wouldn't say in the peak, 747 00:40:04,400 --> 00:40:06,799 Speaker 1: but more in the height versus if you were in 748 00:40:06,840 --> 00:40:09,799 Speaker 1: a unit that has great summer habitat, the rut is 749 00:40:09,840 --> 00:40:13,480 Speaker 1: over earlier. And now that we're talking about this, really 750 00:40:14,000 --> 00:40:17,040 Speaker 1: nobody ever believes me when I talk about Southwest Washington. 751 00:40:18,320 --> 00:40:20,760 Speaker 1: We set our muzzle atter season on the first Saturday 752 00:40:20,800 --> 00:40:25,640 Speaker 1: of October. Our rut is. You can literally slam the 753 00:40:25,680 --> 00:40:28,759 Speaker 1: door on our rut for the most part by the 754 00:40:28,880 --> 00:40:30,960 Speaker 1: end of like the end of September, first of October. 755 00:40:31,000 --> 00:40:35,760 Speaker 1: And it's because we're in a rainforest, right. These elk 756 00:40:36,120 --> 00:40:39,720 Speaker 1: don't migrate their local herds. They've got all the food 757 00:40:39,719 --> 00:40:42,080 Speaker 1: in the world with clearcuts and all the greenage around here. 758 00:40:42,120 --> 00:40:45,640 Speaker 1: But yet I firmly believe our rut is dang near 759 00:40:45,760 --> 00:40:48,880 Speaker 1: over on October first, Versus you go up in the 760 00:40:48,920 --> 00:40:51,120 Speaker 1: mountains or if I go, I'm like, man, the rut 761 00:40:51,160 --> 00:40:53,840 Speaker 1: goes so much longer out of state, you know, and 762 00:40:53,880 --> 00:40:55,680 Speaker 1: these other units are up in the mountains, and so 763 00:40:55,719 --> 00:40:57,960 Speaker 1: that really correlates with what I've seen on the ground 764 00:40:58,040 --> 00:40:59,520 Speaker 1: versus what I've seen in my backyard. 765 00:41:00,400 --> 00:41:03,640 Speaker 2: That's interesting. That's I mean, I I dare hunt usually 766 00:41:03,680 --> 00:41:06,520 Speaker 2: the third week of October, and the rut is regularly 767 00:41:06,560 --> 00:41:10,480 Speaker 2: still going at least dragglers in our mountains of Utah. 768 00:41:10,600 --> 00:41:13,240 Speaker 1: Yep, yeah, I mean I called a bull my wife's 769 00:41:13,239 --> 00:41:16,879 Speaker 1: first bowl. I called in on October twenty ninth, called 770 00:41:16,920 --> 00:41:18,880 Speaker 1: it in. And but it was in the mountains, you know, 771 00:41:18,960 --> 00:41:22,920 Speaker 1: central mountains, the east slope of the Cascade Mountains, and 772 00:41:22,920 --> 00:41:26,799 Speaker 1: it's just different unit, different area, bigger herds, a migratory 773 00:41:26,960 --> 00:41:29,400 Speaker 1: unit that has to live on feed grounds, you know, 774 00:41:29,440 --> 00:41:32,120 Speaker 1: in the winter versus our care have always just been done. 775 00:41:32,120 --> 00:41:35,920 Speaker 1: So that that's that makes sense on maybe why that correlates. 776 00:41:36,920 --> 00:41:38,640 Speaker 2: So I can't remember. We're going to talk about it, 777 00:41:38,680 --> 00:41:41,160 Speaker 2: but are we going to talk about pregnancy rates, which 778 00:41:41,160 --> 00:41:42,960 Speaker 2: would drive how strong the rut is? 779 00:41:44,480 --> 00:41:46,000 Speaker 1: Yeah, we were going to talk a little bit. I 780 00:41:46,040 --> 00:41:49,120 Speaker 1: know I have a note coming on on perceived strength 781 00:41:49,120 --> 00:41:51,000 Speaker 1: of the rut and then the cow is coming into estrus. 782 00:41:51,120 --> 00:41:53,279 Speaker 1: You know, sometimes only fifty percent of them. So we'll 783 00:41:53,280 --> 00:41:55,960 Speaker 1: get into that. Yeah, yeah, in just a little bit. 784 00:41:56,080 --> 00:41:58,319 Speaker 1: But matter of fact, the only question I have in 785 00:41:58,360 --> 00:42:01,279 Speaker 1: between those two, I wanted to ask about, you know, 786 00:42:01,320 --> 00:42:04,040 Speaker 1: one of the perceived things. We're out there hunting. We've 787 00:42:04,080 --> 00:42:06,279 Speaker 1: had a couple of good, high pressure days in a row, 788 00:42:06,600 --> 00:42:08,919 Speaker 1: ruts really going good. It seems to be getting better 789 00:42:08,920 --> 00:42:10,680 Speaker 1: and better, and then you get a rain squall come 790 00:42:10,719 --> 00:42:14,359 Speaker 1: in and uh, it shuts the rut down, or that's 791 00:42:14,360 --> 00:42:17,080 Speaker 1: what's perceived the rut. The activity seems to be different, 792 00:42:17,120 --> 00:42:19,680 Speaker 1: whether it's your hunters get lazier, they're not working as 793 00:42:19,719 --> 00:42:23,800 Speaker 1: hard in your opinion, or or when I say your opinion, 794 00:42:23,920 --> 00:42:27,280 Speaker 1: is there data that supports the research that supports whether 795 00:42:27,320 --> 00:42:28,439 Speaker 1: and how it affects the rut? 796 00:42:30,320 --> 00:42:33,400 Speaker 2: So not that I know of. Uh, again, that's a 797 00:42:33,520 --> 00:42:37,200 Speaker 2: question that we're asking right now. Absolutely, weather, it is 798 00:42:37,239 --> 00:42:39,840 Speaker 2: going to affect activity patterns. I would say in my 799 00:42:39,920 --> 00:42:42,920 Speaker 2: hunting experience, it's exactly the opposite. The worse the weather, 800 00:42:43,000 --> 00:42:49,400 Speaker 2: the more it's going. Really and so yeah, if the weather, 801 00:42:50,040 --> 00:42:53,960 Speaker 2: maybe because it's so warm here and the elk are 802 00:42:54,000 --> 00:42:57,520 Speaker 2: just overheated on during the rut September super hot. Still 803 00:42:58,360 --> 00:43:01,879 Speaker 2: they if it's a hot day by early morning, they're 804 00:43:01,920 --> 00:43:04,080 Speaker 2: back in the dark timber on the north slopes and 805 00:43:04,120 --> 00:43:07,640 Speaker 2: they're bedded down. But if it starts snowing, they're active 806 00:43:07,719 --> 00:43:08,399 Speaker 2: all day long. 807 00:43:09,719 --> 00:43:13,520 Speaker 1: Yeah, that makes itse I was told by an old 808 00:43:13,560 --> 00:43:16,280 Speaker 1: timer that I used to hunt with or hung around 809 00:43:16,320 --> 00:43:18,880 Speaker 1: and got some tips and tricks from. He believed that 810 00:43:18,960 --> 00:43:21,360 Speaker 1: the rain washes away all the scent that's on the ground. 811 00:43:21,920 --> 00:43:23,480 Speaker 1: I don't know if I believe that or not, but 812 00:43:23,520 --> 00:43:24,960 Speaker 1: it was one of those things where it's like you 813 00:43:25,040 --> 00:43:27,400 Speaker 1: kind of scratch your head. Is that true? You know, 814 00:43:27,760 --> 00:43:30,840 Speaker 1: if cows are you know, close or they're pean you know, 815 00:43:30,960 --> 00:43:33,920 Speaker 1: all over the landscape, does that get that bowl fired 816 00:43:34,000 --> 00:43:36,200 Speaker 1: up and so he's bugling more as he travels around 817 00:43:36,400 --> 00:43:38,480 Speaker 1: or not? I don't know. I've I just kind of 818 00:43:38,520 --> 00:43:40,120 Speaker 1: put that in there as far as the weather affecting 819 00:43:40,160 --> 00:43:43,960 Speaker 1: the rut and potentially supports what I've seen, But but 820 00:43:44,000 --> 00:43:45,879 Speaker 1: it sounds like you've seen the opposite, So it's it's 821 00:43:45,880 --> 00:43:48,560 Speaker 1: not necessarily maybe a factor. 822 00:43:48,760 --> 00:43:52,600 Speaker 2: So yeah, definitely. Old factory is the way that el 823 00:43:52,680 --> 00:43:57,200 Speaker 2: communicate and tell each other that I'm I'm approaching estris 824 00:43:57,280 --> 00:44:00,840 Speaker 2: or I'm an estress or I just ovulated. That's how 825 00:44:01,600 --> 00:44:05,360 Speaker 2: That's how they're communicating with each other. So anything that 826 00:44:06,080 --> 00:44:10,160 Speaker 2: changes the amount of old factory communication on the landscape 827 00:44:10,320 --> 00:44:14,960 Speaker 2: is going to change behavior. Having said that, they have 828 00:44:15,000 --> 00:44:19,439 Speaker 2: a pretty keen sense of smell, and I'm not once 829 00:44:19,480 --> 00:44:23,680 Speaker 2: the rut's going, I'm not sure that they're using scent 830 00:44:23,719 --> 00:44:27,279 Speaker 2: marking as much as before the rut. I think that 831 00:44:27,320 --> 00:44:29,960 Speaker 2: they've started to gather up their animals and they're checking 832 00:44:30,000 --> 00:44:33,840 Speaker 2: their animals regularly. They have a fleming behavior like bison 833 00:44:33,920 --> 00:44:37,520 Speaker 2: where they it's called a lip curl where they can 834 00:44:37,600 --> 00:44:41,840 Speaker 2: open up a whole bunch of receptors olfactory receptors in 835 00:44:41,880 --> 00:44:44,360 Speaker 2: their nose and they can tell whether that female is 836 00:44:45,080 --> 00:44:48,600 Speaker 2: approaching asters or not. But they check them individually by. 837 00:44:48,440 --> 00:44:51,640 Speaker 1: Them yep, yep, yeah, where you see that bowl, get 838 00:44:51,719 --> 00:44:54,200 Speaker 1: up and go nudge every cow out of her bed checker, 839 00:44:54,280 --> 00:44:55,520 Speaker 1: scent checker, and then move on. 840 00:44:55,400 --> 00:44:56,240 Speaker 2: To the next one. 841 00:44:56,520 --> 00:44:59,040 Speaker 1: Yeah. So that's part one of our podcasts here with 842 00:44:59,120 --> 00:45:01,879 Speaker 1: Brock McMillan on ELK. Stay tuned for part two coming 843 00:45:01,920 --> 00:45:03,880 Speaker 1: at you next time on cutting the distance