1 00:00:00,000 --> 00:00:06,380 Joe, you like, I guess I don't know if you want me to like tell you in advance what I'm going to do or 2 00:00:06,380 --> 00:00:08,060 and then take a picture. 3 00:00:08,060 --> 00:00:13,640 So I'll just kind of follow me back on that and then I might just have you, when we get the phone up to the 4 00:00:13,640 --> 00:00:17,240 lines, I might just try and then frame the get a shot up through that your phone. 5 00:00:17,240 --> 00:00:23,000 Okay, thank you, thank you so much for being here in this building, I'm so glad to see you. 6 00:00:23,000 --> 00:00:26,520 Um, cool, so like, well, do you want me to like talk while I'm doing it? 7 00:00:26,520 --> 00:00:29,720 You know, narrate what you're doing as you're doing it and what you're looking for if you can. 8 00:00:29,720 --> 00:00:36,280 Okay, um, yeah, so these are walleye eggs we collected this morning when we were fight netting. 9 00:00:36,280 --> 00:00:43,920 Um, and I'm just taking them out of the vial and putting them on the scope so that I can photograph them. 10 00:00:43,920 --> 00:00:50,520 And you're too small, so like, I'm just throwing them out a little bit. 11 00:00:50,520 --> 00:00:57,240 And I, I can like make this process shorter. 12 00:00:57,240 --> 00:01:00,920 Normally it takes like each sample takes a little bit to like sprout them out good. 13 00:01:00,920 --> 00:01:03,120 So I can just take a picture if that's easier. 14 00:01:03,120 --> 00:01:06,520 No, whatever you, whatever you usually do, that's, that's fine with me. 15 00:01:06,520 --> 00:01:07,520 I got nothing but time. 16 00:01:07,520 --> 00:01:08,520 Okay. 17 00:01:08,520 --> 00:01:09,520 Um. 18 00:01:09,520 --> 00:01:15,520 So what's the process for someone to go for it? 19 00:01:15,520 --> 00:01:16,520 Super simple. 20 00:01:17,520 --> 00:01:23,520 So basically like anybody that would like to fish here, you know, they have to pop into the station here. 21 00:01:23,520 --> 00:01:26,520 I think it's literally just this right here. 22 00:01:26,520 --> 00:01:29,520 And so we just do them a little pencil. 23 00:01:29,520 --> 00:01:32,520 Uh, we did, you know, their address and a couple of things. 24 00:01:32,520 --> 00:01:35,520 A little bit of demographic data. 25 00:01:35,520 --> 00:01:38,520 And then that's really it. 26 00:01:38,520 --> 00:01:40,520 At that point. 27 00:01:41,520 --> 00:01:50,520 And then you can just line it up through the scope. 28 00:01:50,520 --> 00:01:52,520 I'm actually going to get found on a fine plate. 29 00:01:52,520 --> 00:01:54,520 Like, don't report out when they get done. 30 00:01:54,520 --> 00:01:55,520 You know, we've got a letter. 31 00:01:55,520 --> 00:01:58,520 We try to call them, send them that stuff. 32 00:01:58,520 --> 00:02:03,520 Um, so then after they go out fishing, um, we would mark down, you know, the date and stuff like that. 33 00:02:03,520 --> 00:02:05,520 What time they started fishing. 34 00:02:05,520 --> 00:02:07,520 Um, they didn't have the analogy here. 35 00:02:08,520 --> 00:02:14,520 And then later I just put these photos into image processing software. 36 00:02:14,520 --> 00:02:25,520 And what we're doing is looking at the diameter of the eggs and the yolk basically to look at how walleye eggs. 37 00:02:25,520 --> 00:02:31,520 You know, how like different, let me think of the right thing to say. 38 00:02:31,520 --> 00:02:35,520 Basically like, how do walleye eggs influence recruitment? 39 00:02:35,520 --> 00:02:41,520 How are walleye eggs part of the, how does that like set up? 40 00:02:41,520 --> 00:02:45,520 I mean, I'm sorry. 41 00:02:45,520 --> 00:02:49,520 I'm thinking basically like while I recruitment is declining. 42 00:02:49,520 --> 00:02:54,520 And one of the things that kind of came out was maybe that that maternal effects could be important. 43 00:02:54,520 --> 00:03:00,520 So well, how, how might the female walleye influence recruitment? 44 00:03:00,520 --> 00:03:03,520 Well, maybe it's something to do with the eggs. 45 00:03:03,520 --> 00:03:09,520 So, and there's studies that have shown that if eggs are bigger, that the larvae will be bigger. 46 00:03:09,520 --> 00:03:11,520 So maybe they'll have some sort of advantage. 47 00:03:11,520 --> 00:03:17,520 And then how, you know, that yolk and that nutritional investment in the egg could influence that as well. 48 00:03:18,520 --> 00:03:21,520 So like, and we looked at all these different. 49 00:03:21,520 --> 00:03:28,520 So we did a study recently that was published and we looked at female size, female age. 50 00:03:28,520 --> 00:03:37,520 We looked at environmental factors, like variability, looked at like different kind of population level factors, 51 00:03:37,520 --> 00:03:43,520 like yellow perch and just looked at, you know, how was egg size being influenced by all these things. 52 00:03:43,520 --> 00:03:56,520 And it did seem like the main focus seemed to be that environmental variability can influence eggs. 53 00:03:56,520 --> 00:04:02,520 So if in years where forage isn't as abundant, it seems like maybe the eggs are less provisioned. 54 00:04:02,520 --> 00:04:04,520 They're not as nutritionally dense. 55 00:04:04,520 --> 00:04:12,520 And it seemed like some of these factors, the most important factor ultimately seemed to be like maybe a genetic factor. 56 00:04:12,520 --> 00:04:18,520 So maybe some walleye are just generally better at producing eggs and have generally better, 57 00:04:18,520 --> 00:04:20,520 and which might influence their recruitment. 58 00:04:20,520 --> 00:04:24,520 Yeah, so that's why we're keeping the study going, even though we already published on it, 59 00:04:24,520 --> 00:04:26,520 because we're trying to build up that long-term data set. 60 00:04:26,520 --> 00:04:33,520 So in that paper, because all of our female walleye are tagged in the spring, 61 00:04:33,520 --> 00:04:37,520 and so we catch the same fish year after year after year. 62 00:04:37,520 --> 00:04:41,520 So every, in multiple years, you could get egg samples from the same fish, 63 00:04:41,520 --> 00:04:45,520 so you can look at how different factors have influenced those eggs, 64 00:04:45,520 --> 00:04:47,520 and then we can look at recruitment later. 65 00:04:47,520 --> 00:04:57,520 So we're kind of looking at that long-term kind of egg quality and maybe recruitment potential. 66 00:04:57,520 --> 00:04:59,520 How's the egg quality looking so far? 67 00:04:59,520 --> 00:05:05,520 Well, I haven't measured them yet, so I have to like take the photo and put it into the software, 68 00:05:05,520 --> 00:05:09,520 and then I do little measurements on 10 of the eggs, 69 00:05:09,520 --> 00:05:15,520 and then we can kind of look and see if per female, okay, how big were her eggs on average, 70 00:05:15,520 --> 00:05:19,520 how big were the yolks on average, how variable were they, 71 00:05:19,520 --> 00:05:25,520 and then we can kind of like, we can relate those back to, well, this year, 72 00:05:25,520 --> 00:05:30,520 what was the ice like this year, what was the ice like last year, what was the perch like last year, 73 00:05:30,520 --> 00:05:35,520 how are these things influencing eggs and potentially recruitment? 74 00:05:35,520 --> 00:05:36,520 Potentially. 75 00:05:36,520 --> 00:05:38,520 Yeah, so that's what I'm doing. 76 00:05:38,520 --> 00:05:39,520 All right. 77 00:05:39,520 --> 00:05:40,520 Yeah, I don't know. 78 00:05:40,520 --> 00:05:45,520 For about two years, you know, there are a few people in there that have seen 120 perch, 79 00:05:45,520 --> 00:05:47,520 you know, in and outing. 80 00:05:47,520 --> 00:05:49,520 There's still people, see them up. 81 00:05:49,520 --> 00:05:53,520 I actually haven't demonstrated to probably pick all the snacks, 82 00:05:53,520 --> 00:05:56,520 and then I'll be there after, and so, 83 00:05:56,520 --> 00:05:58,520 I'm going to move up to Samford. 84 00:05:58,520 --> 00:05:59,520 Yep. 85 00:05:59,520 --> 00:06:03,520 And like I said, everything should be there, both should be ready to go and guess stuff, 86 00:06:03,520 --> 00:06:09,520 and the hooks, you know, to tie off the boat is in the deep seat of the truck there. 87 00:06:09,520 --> 00:06:10,520 Okay. 88 00:06:10,520 --> 00:06:13,520 So, should we all have been going to go home for you in that quarter? 89 00:06:13,520 --> 00:06:14,520 Sounds good. 90 00:06:14,520 --> 00:06:18,520 Yeah, so I'm not going to get your leg. 91 00:06:18,520 --> 00:06:19,520 It doesn't take long. 92 00:06:19,520 --> 00:06:22,520 It's when something like that happens, and people are harvesting at that level. 93 00:06:22,520 --> 00:06:24,520 But it's going to be even... 94 00:06:24,520 --> 00:06:30,520 Well, the first thing I need this, you know, I've gone for a while. 95 00:06:30,520 --> 00:06:34,520 But it's one of the purposes of why I originally regulations were set up, 96 00:06:34,520 --> 00:06:39,520 so when I did open up the fishing, I think, you know, the natural mindset would be like, 97 00:06:39,520 --> 00:06:42,520 one, they're going to be absolutely loaded with fishing, 98 00:06:42,520 --> 00:06:43,520 and they're all going to be huge. 99 00:06:43,520 --> 00:06:45,520 It works the opposite way with fish. 100 00:06:45,520 --> 00:06:48,520 And so you have too many miles to feed, and so they were all almost done. 101 00:06:48,520 --> 00:06:49,520 Small with something. 102 00:06:49,520 --> 00:06:54,520 And so the no-close season, no bag of them, no size of them was originally put on 103 00:06:54,520 --> 00:06:59,520 to basically how much harvest does it take to kind of put that reflection on balance. 104 00:06:59,520 --> 00:07:03,520 Like Mack was talking about, he loves the fish some mama on that mallet. 105 00:07:03,520 --> 00:07:08,520 And his little dog, his little white dog, is dyed now, and he had those hard issues. 106 00:07:08,520 --> 00:07:14,520 But he'd be in here every two days, you know, older gentlemen dragging his canoeing in there 107 00:07:14,520 --> 00:07:16,520 and all his glory was a little dog. 108 00:07:16,520 --> 00:07:18,520 So you get a lot of that stuff, which is kind of cool. 109 00:07:18,520 --> 00:07:19,520 Yeah. 110 00:07:19,520 --> 00:07:22,520 You get to know people. 111 00:07:22,520 --> 00:07:23,520 Wernher. 112 00:07:23,520 --> 00:07:24,520 Wernher. 113 00:07:24,520 --> 00:07:27,520 Yeah, we get dirty old men in here. 114 00:07:27,520 --> 00:07:29,520 Big gals and stuff. 115 00:07:29,520 --> 00:07:30,520 You can imagine. 116 00:07:30,520 --> 00:07:31,520 Wernher. 117 00:07:31,520 --> 00:07:35,520 Here's another one he and his brother's brother's passing them up to, 118 00:07:35,520 --> 00:07:40,520 but they need to exclusively push it out. 119 00:07:40,520 --> 00:07:41,520 Yeah. 120 00:07:41,520 --> 00:07:45,520 So, I mean, this is the main building that was remodeled in 2008. 121 00:07:46,520 --> 00:07:48,520 It's all solar and generator-owned. 122 00:07:48,520 --> 00:07:51,520 We're completely not figuring it out. 123 00:07:51,520 --> 00:07:53,520 So, the big muskies, I guess. 124 00:07:53,520 --> 00:07:57,520 You know, all kinds of different species of animal work. 125 00:07:57,520 --> 00:07:58,520 Yeah. 126 00:07:58,520 --> 00:08:01,520 So, five history. 127 00:08:01,520 --> 00:08:02,520 Definitely. 128 00:08:02,520 --> 00:08:04,520 Yeah, most pretty much it. 129 00:08:04,520 --> 00:08:05,520 No, I guess. 130 00:08:05,520 --> 00:08:08,520 Oh, I have a section on YouTube. 131 00:08:16,520 --> 00:08:17,520 Yeah. 132 00:08:17,520 --> 00:08:18,520 Yeah. 133 00:08:18,520 --> 00:08:19,520 Yeah. 134 00:08:19,520 --> 00:08:20,520 Yeah. 135 00:08:20,520 --> 00:08:21,520 Yeah. 136 00:08:21,520 --> 00:08:22,520 Yeah. 137 00:08:22,520 --> 00:08:23,520 Yeah. 138 00:08:23,520 --> 00:08:24,520 Yeah. 139 00:08:24,520 --> 00:08:25,520 Yeah. 140 00:08:25,520 --> 00:08:26,520 Yeah. 141 00:08:26,520 --> 00:08:27,520 Yeah. 142 00:08:27,520 --> 00:08:28,520 Yeah. 143 00:08:28,520 --> 00:08:29,520 Yeah. 144 00:08:29,520 --> 00:08:30,520 Yeah. 145 00:08:30,520 --> 00:08:31,520 Yeah. 146 00:08:31,520 --> 00:08:32,520 Yeah. 147 00:08:32,520 --> 00:08:33,520 Yeah. 148 00:08:33,520 --> 00:08:34,520 Yeah. 149 00:08:34,520 --> 00:08:35,520 Yeah. 150 00:08:35,520 --> 00:08:36,520 Yeah. 151 00:08:36,520 --> 00:08:37,520 Yeah. 152 00:08:37,520 --> 00:08:38,520 Yeah. 153 00:08:38,520 --> 00:08:39,520 Yeah. 154 00:08:39,520 --> 00:08:40,520 Yeah. 155 00:08:41,520 --> 00:08:42,520 Yeah. 156 00:08:42,520 --> 00:08:43,520 Yeah. 157 00:08:43,520 --> 00:08:44,520 Yeah. 158 00:08:44,520 --> 00:08:45,520 Yeah. 159 00:08:45,520 --> 00:08:46,520 Yeah. 160 00:08:46,520 --> 00:08:47,520 Yeah. 161 00:08:47,520 --> 00:08:48,520 Yeah. 162 00:08:48,520 --> 00:08:49,520 Yeah. 163 00:08:49,520 --> 00:08:50,520 Yeah. 164 00:08:50,520 --> 00:08:51,520 Yeah. 165 00:08:51,520 --> 00:08:52,520 Yeah. 166 00:08:52,520 --> 00:08:53,520 Yeah. 167 00:08:53,520 --> 00:08:54,520 Yeah. 168 00:08:54,520 --> 00:08:55,520 Yeah. 169 00:08:55,520 --> 00:08:56,520 Yeah. 170 00:08:56,520 --> 00:08:57,520 Yeah. 171 00:08:57,520 --> 00:08:58,520 Yeah. 172 00:08:58,520 --> 00:08:59,520 Yeah. 173 00:08:59,520 --> 00:09:00,520 Yeah. 174 00:09:00,520 --> 00:09:01,520 Yeah. 175 00:09:01,520 --> 00:09:02,520 Yeah. 176 00:09:02,520 --> 00:09:03,520 Yeah. 177 00:09:03,520 --> 00:09:04,520 Yeah. 178 00:09:04,520 --> 00:09:05,520 Yeah. 179 00:09:05,520 --> 00:09:06,520 Yeah. 180 00:09:07,520 --> 00:09:10,520 Yeah. 181 00:09:10,520 --> 00:09:11,520 Yeah. 182 00:09:11,520 --> 00:09:12,840 Yeah. 183 00:09:25,520 --> 00:09:26,520 Yeah. 184 00:09:26,520 --> 00:09:28,520 Yeah. 185 00:09:28,520 --> 00:09:29,520 Yeah. 186 00:09:29,520 --> 00:09:30,520 Yeah.