1 00:00:09,400 --> 00:00:13,319 Speaker 1: From Media Doors World News headquarters in Bozeman, Montana. This 2 00:00:13,400 --> 00:00:16,680 Speaker 1: is Kel's we Can Review with Ryan kel Kell and 3 00:00:17,239 --> 00:00:22,799 Speaker 1: now Here's Kel. A sloth bear attacked six people last 4 00:00:22,840 --> 00:00:27,160 Speaker 1: week outside of Bannergatta National Park. Banner Gotta is located 5 00:00:27,240 --> 00:00:31,280 Speaker 1: in the Karnataka region of India, about one hundred kilometers 6 00:00:31,280 --> 00:00:34,600 Speaker 1: from Bangalore. The park itself is one hundred square miles 7 00:00:34,600 --> 00:00:38,600 Speaker 1: in size. Adult sloth bears range anywhere from one hundred 8 00:00:38,600 --> 00:00:41,800 Speaker 1: and twenty to three twenty pounds in size and are 9 00:00:41,960 --> 00:00:45,440 Speaker 1: theorized to be a missing link type of bear that 10 00:00:45,600 --> 00:00:48,400 Speaker 1: evolved to their current form in the place to scene, 11 00:00:48,680 --> 00:00:51,800 Speaker 1: which means this critter hit its stride anywhere from two 12 00:00:51,800 --> 00:00:55,240 Speaker 1: and a half million years ago to twelve thousand years 13 00:00:55,240 --> 00:00:58,680 Speaker 1: ago and maybe an offshoot of the modern brown bear. 14 00:00:59,280 --> 00:01:03,639 Speaker 1: The sloth bear gets its secondary name labyan bear due 15 00:01:03,720 --> 00:01:07,880 Speaker 1: to its longer than usual lips, its primary name from 16 00:01:07,880 --> 00:01:12,240 Speaker 1: its slow shuffling walk. The sloth bear has long claws 17 00:01:12,560 --> 00:01:16,679 Speaker 1: specialized to tear open termite mounds, but these long claws 18 00:01:16,760 --> 00:01:20,399 Speaker 1: make them poor climbers, which may be the root of 19 00:01:20,440 --> 00:01:25,800 Speaker 1: this surprisingly non sloth like fact. Sloth bear attacks on 20 00:01:26,040 --> 00:01:32,000 Speaker 1: the ever encroaching human populations are very common. In fact, 21 00:01:32,319 --> 00:01:35,720 Speaker 1: sloth bear attacks in India count for more attacks than 22 00:01:35,760 --> 00:01:39,920 Speaker 1: the entire distribution of fearsome brown bears in the world. 23 00:01:40,600 --> 00:01:44,160 Speaker 1: If you consider the fact that humans hunted the sloth bears, 24 00:01:44,400 --> 00:01:48,440 Speaker 1: in some cases only for their vacuum or penis bone, 25 00:01:48,800 --> 00:01:53,880 Speaker 1: the attacks make a lot of sense. This week we've 26 00:01:53,920 --> 00:01:57,560 Speaker 1: got the Migratory Bird Act, really old dogs, and fashion. 27 00:01:58,000 --> 00:02:01,800 Speaker 1: But first I'm gonna tell you about my week. And 28 00:02:01,920 --> 00:02:04,560 Speaker 1: my week as well as This podcast is brought to 29 00:02:04,600 --> 00:02:08,680 Speaker 1: you by Steel Power Equipment, steel makers of the world's 30 00:02:08,680 --> 00:02:12,399 Speaker 1: finest gas and battery powered chainsaws. If you were like me, 31 00:02:12,720 --> 00:02:15,320 Speaker 1: and you are the strange kid on your block who 32 00:02:15,360 --> 00:02:17,320 Speaker 1: loves to get up at three thirty in the morning 33 00:02:17,520 --> 00:02:21,480 Speaker 1: and drive to some Turkey destination you've fantasized about all week, 34 00:02:21,960 --> 00:02:26,480 Speaker 1: don't forget to have that clean, quiet, no stinking steel 35 00:02:26,680 --> 00:02:30,720 Speaker 1: battery powered saw underneath the truck seat or heck, even 36 00:02:30,720 --> 00:02:34,560 Speaker 1: in your prius. Don't let a downed tree block you 37 00:02:34,680 --> 00:02:37,560 Speaker 1: from a good time. Cut that sucker out of there, 38 00:02:37,919 --> 00:02:41,440 Speaker 1: Go kill that wily old Thomas, then come back and 39 00:02:41,520 --> 00:02:44,760 Speaker 1: have a nice little fire. Go to steal usa dot 40 00:02:44,800 --> 00:02:49,720 Speaker 1: com and find a dealer near you Now, you've all 41 00:02:49,760 --> 00:02:53,320 Speaker 1: heard me talk about the ease of asso buco and 42 00:02:53,360 --> 00:02:56,520 Speaker 1: the fact that bear shanks, the four legs of bears 43 00:02:56,840 --> 00:03:00,960 Speaker 1: make the best also buco. Well, if you haven't that 44 00:03:01,160 --> 00:03:06,120 Speaker 1: is a fact. The tougher the leg the better the Bukoh. Well, 45 00:03:06,400 --> 00:03:09,560 Speaker 1: a lot of folks love turkey hunting, and quite a 46 00:03:09,560 --> 00:03:12,560 Speaker 1: few folks really love the meat. And then there's a 47 00:03:12,560 --> 00:03:15,680 Speaker 1: bunch of knuckleheads out there that think the legs are 48 00:03:15,760 --> 00:03:19,239 Speaker 1: too tough to deal with. Well, considering you could use 49 00:03:19,280 --> 00:03:22,040 Speaker 1: those legs as a hammer to tap intent steaks into 50 00:03:22,120 --> 00:03:26,360 Speaker 1: frozen ground, you're right about the toughness, but wrong in 51 00:03:26,400 --> 00:03:30,040 Speaker 1: the fact that the legs aren't worth dealing with. Also, 52 00:03:30,160 --> 00:03:34,600 Speaker 1: buko baby, cut that drum into disks. If you want 53 00:03:34,639 --> 00:03:38,200 Speaker 1: to do it fast, grab your steel lopping shears and 54 00:03:38,240 --> 00:03:41,440 Speaker 1: do three or four precise pieces. Brown them up on 55 00:03:41,520 --> 00:03:44,640 Speaker 1: both sides. Throw some veggies in the croc pot, maybe 56 00:03:44,640 --> 00:03:48,800 Speaker 1: a little lemon, thyme, rosemary, bay leaf, and for the birds. 57 00:03:49,040 --> 00:03:52,800 Speaker 1: I like white beans, which is not technically also buco, 58 00:03:53,000 --> 00:03:56,640 Speaker 1: but who cares. It's delicious. Let it go at a 59 00:03:56,760 --> 00:03:59,920 Speaker 1: nice simmer while you go make that tail fan or 60 00:04:00,000 --> 00:04:02,960 Speaker 1: angement or in necklace out of turkey spurs, you'll be 61 00:04:02,960 --> 00:04:07,840 Speaker 1: in hog Heaven Later. Moving on to the rules and 62 00:04:08,040 --> 00:04:12,960 Speaker 1: legislation desk, the Great State of New Mexico, the Land 63 00:04:12,960 --> 00:04:17,159 Speaker 1: of Enchantment, signed into law Senate Bill thirty two, which 64 00:04:17,240 --> 00:04:21,800 Speaker 1: makes it illegal to trap on public lands, and in 65 00:04:21,880 --> 00:04:26,080 Speaker 1: so doing made my heart hurt a little bit. You see, 66 00:04:26,120 --> 00:04:28,400 Speaker 1: I love the State of New Mexico, love the people, 67 00:04:28,760 --> 00:04:31,560 Speaker 1: and just like when you find out that your folks 68 00:04:31,720 --> 00:04:36,359 Speaker 1: make mistakes and don't actually know everything at some tender age, 69 00:04:36,640 --> 00:04:39,679 Speaker 1: I just didn't see it coming. New Mexico is about 70 00:04:39,720 --> 00:04:45,200 Speaker 1: fifty private land. On those lands, with permission, an enterprising 71 00:04:45,320 --> 00:04:48,719 Speaker 1: youth can still run a trap line across the three 72 00:04:48,720 --> 00:04:53,120 Speaker 1: strand barbed wire. On public land, one cannot. If you 73 00:04:53,160 --> 00:04:56,800 Speaker 1: are anti trapping, do you think animals on private land 74 00:04:56,839 --> 00:04:59,600 Speaker 1: want to live less than those on public That'd be 75 00:04:59,640 --> 00:05:03,159 Speaker 1: a tough case to make. They're about nine million acres 76 00:05:03,160 --> 00:05:06,479 Speaker 1: of national for US thirteen million acres of BLM in 77 00:05:06,520 --> 00:05:10,560 Speaker 1: the State of New Mexico. On these public lands, tribal members, 78 00:05:10,560 --> 00:05:14,880 Speaker 1: wildlife management agencies, and those conducting research are still able 79 00:05:14,880 --> 00:05:18,440 Speaker 1: to trap. State Bill thirty two was presented as a 80 00:05:18,440 --> 00:05:22,000 Speaker 1: bill that protected domestic dogs from the snares and leg 81 00:05:22,080 --> 00:05:26,000 Speaker 1: hold traps of the very few sloppy trappers who set 82 00:05:26,040 --> 00:05:29,120 Speaker 1: them too close to trails commonly used by hikers and 83 00:05:29,200 --> 00:05:34,560 Speaker 1: dog walkers. Do agencies, tribal members and researchers not make mistakes, 84 00:05:35,200 --> 00:05:38,599 Speaker 1: They not have dogs, do their traps not inflick trauma 85 00:05:38,600 --> 00:05:42,120 Speaker 1: on animals. Just as golf, you know, the game on 86 00:05:42,200 --> 00:05:48,280 Speaker 1: the fancy uh lawn with the sticks. Just like that 87 00:05:48,360 --> 00:05:51,479 Speaker 1: game can be a menacing sport if the golfer were 88 00:05:51,600 --> 00:05:54,680 Speaker 1: to decide to pivot ninety degrees on a t box 89 00:05:54,760 --> 00:05:58,200 Speaker 1: next to a highway and launch a titlist into oncoming traffic, 90 00:05:58,800 --> 00:06:01,960 Speaker 1: traps in the hand unds of the uncarring can lead 91 00:06:02,000 --> 00:06:05,839 Speaker 1: to a bad outcome. In the Gulf scenario, the misuse 92 00:06:05,839 --> 00:06:09,440 Speaker 1: of equipment would never lead to the banishment of the 93 00:06:09,520 --> 00:06:14,359 Speaker 1: activity from the entire state, or more accurately, only shut 94 00:06:14,400 --> 00:06:17,920 Speaker 1: it down on public courses. However, in the case of trapping, 95 00:06:18,160 --> 00:06:22,160 Speaker 1: a few bad actors irresponsibly using traps were used as 96 00:06:22,200 --> 00:06:26,320 Speaker 1: an example to condemn public land of trappers on more 97 00:06:26,360 --> 00:06:30,320 Speaker 1: than twenty two million acres. The reason I enjoy my 98 00:06:30,400 --> 00:06:32,880 Speaker 1: time in New Mexico when I'm tramping around is I 99 00:06:32,960 --> 00:06:35,479 Speaker 1: do not see hikers and dog walkers all over those 100 00:06:35,480 --> 00:06:39,240 Speaker 1: twenty two million acres of public land. Sure, I see 101 00:06:39,320 --> 00:06:42,239 Speaker 1: them where you would expect to see them, but there's 102 00:06:42,279 --> 00:06:45,520 Speaker 1: plenty of room to go around. It's a land of 103 00:06:45,560 --> 00:06:50,000 Speaker 1: many uses. This situation irks me primarily as I find 104 00:06:50,040 --> 00:06:53,040 Speaker 1: it dishonest. If you want to be anti trapping, just 105 00:06:53,080 --> 00:06:55,960 Speaker 1: be anti trapping. Make sure you don't dress in the 106 00:06:56,000 --> 00:06:59,160 Speaker 1: Southwestern style, though you'll have to give up a lot 107 00:06:59,240 --> 00:07:02,800 Speaker 1: of the door as some cowboy hats and belts and boots, 108 00:07:03,200 --> 00:07:05,840 Speaker 1: and you'll always have to ask before you put your 109 00:07:05,920 --> 00:07:10,200 Speaker 1: rump in that car seat, is this real or foe leather? 110 00:07:11,000 --> 00:07:14,360 Speaker 1: At least then you're being honest, and that's fine, But 111 00:07:14,480 --> 00:07:17,600 Speaker 1: don't make a case off of unleashed pets and the 112 00:07:17,640 --> 00:07:22,960 Speaker 1: tiniest minority of trappers. Secondarily, this irks me, as I've 113 00:07:22,960 --> 00:07:26,640 Speaker 1: said before on this podcast, this doesn't affect trappers on 114 00:07:26,720 --> 00:07:31,120 Speaker 1: private land, only public We lean a little bit closer 115 00:07:31,160 --> 00:07:34,960 Speaker 1: to the King's game model when we make legislation that 116 00:07:35,040 --> 00:07:39,320 Speaker 1: only hurts those on public land. Over the weekend, I 117 00:07:39,360 --> 00:07:42,560 Speaker 1: was hanging out with my old outfitting buddy, first outfitter 118 00:07:42,600 --> 00:07:45,080 Speaker 1: I ever worked for, and we were going through some 119 00:07:45,120 --> 00:07:47,880 Speaker 1: photo albums and he was holding up a bobcat as 120 00:07:47,880 --> 00:07:51,000 Speaker 1: a young man, he said, it used to burn my 121 00:07:51,080 --> 00:07:54,360 Speaker 1: old man's ass that I could go out just a 122 00:07:54,440 --> 00:07:57,920 Speaker 1: kid with some traps and earn more money than he did. 123 00:07:58,680 --> 00:08:01,320 Speaker 1: These are dirt poor folks out in eastern Colorado at 124 00:08:01,320 --> 00:08:05,120 Speaker 1: the time, Colorado as he likes call it. And there's 125 00:08:05,120 --> 00:08:07,600 Speaker 1: still plenty of those folks out there, and they're making 126 00:08:07,600 --> 00:08:11,960 Speaker 1: a living responsively off of a renewable resource. And this 127 00:08:12,040 --> 00:08:14,360 Speaker 1: can be done in a way that you know, you 128 00:08:14,400 --> 00:08:18,600 Speaker 1: can slap that catch all word humane on there if 129 00:08:18,600 --> 00:08:21,440 Speaker 1: you would like, a lot of this meat is going 130 00:08:21,640 --> 00:08:25,000 Speaker 1: in the crock pot at the family farm. Even just 131 00:08:25,240 --> 00:08:27,640 Speaker 1: chaps me a little. We can chalk that up to 132 00:08:27,720 --> 00:08:31,640 Speaker 1: opinion and a lesson. Never did I think this would 133 00:08:31,640 --> 00:08:36,280 Speaker 1: happen in New Mexico, but it did. Vermont, Oregon, Washington 134 00:08:36,480 --> 00:08:40,640 Speaker 1: all have had or do have similar bills. If you 135 00:08:40,679 --> 00:08:44,840 Speaker 1: were thinking this can happen here, looked old New Mexico. 136 00:08:46,160 --> 00:08:49,720 Speaker 1: Next up at the legislation or in this case, rules desk. 137 00:08:51,640 --> 00:08:54,960 Speaker 1: The Biden administration has announced that it will overturn a 138 00:08:55,000 --> 00:08:58,160 Speaker 1: Trump era exception to the Migratory Bird Treaty Act a 139 00:08:58,320 --> 00:09:03,000 Speaker 1: foundational nine law protecting threatened birds from hunting and other 140 00:09:03,080 --> 00:09:07,840 Speaker 1: human activity. The Trump Rule protected companies whose activities killed 141 00:09:08,000 --> 00:09:11,679 Speaker 1: listed birds as long as the killing was unintentional, which 142 00:09:11,840 --> 00:09:15,080 Speaker 1: really stuck it to all those businesses whose model is 143 00:09:15,120 --> 00:09:18,040 Speaker 1: to go out and hit ruby throated hummingbirds over the 144 00:09:18,040 --> 00:09:21,640 Speaker 1: heads with sticks. No. The main reason that the m 145 00:09:21,640 --> 00:09:25,360 Speaker 1: b T a Migratory Bird Treaty Act, is effective in 146 00:09:25,440 --> 00:09:28,760 Speaker 1: protecting birds from humans is by penalizing what is known 147 00:09:28,800 --> 00:09:32,600 Speaker 1: as incidental take, or the killing of birds, apart from 148 00:09:32,600 --> 00:09:36,520 Speaker 1: expressly hunting for them. If a company's power lines or 149 00:09:36,559 --> 00:09:39,959 Speaker 1: emissions or oil pits are killing birds, then that company 150 00:09:40,000 --> 00:09:42,840 Speaker 1: needs to try to mitigate the damage. Think of those 151 00:09:42,920 --> 00:09:46,600 Speaker 1: reflective spinning things you see on high tension lines. Wind 152 00:09:46,640 --> 00:09:50,800 Speaker 1: farms are notorious bird killers, particularly hard on golden eagles, 153 00:09:50,800 --> 00:09:56,559 Speaker 1: Swainson's hawks, kestrels, So oftentimes to mitigate that, the ground 154 00:09:56,600 --> 00:09:59,280 Speaker 1: around the turbines will be tilled or planted in a 155 00:09:59,400 --> 00:10:03,200 Speaker 1: fashion to reduced the attractiveness of the area to those species. 156 00:10:03,800 --> 00:10:08,040 Speaker 1: In short, we aren't talking about significant changes to business here. 157 00:10:08,600 --> 00:10:12,560 Speaker 1: Most responsible companies build this into their operations or work 158 00:10:12,640 --> 00:10:16,920 Speaker 1: hard with conservation organizations to do that, and so the 159 00:10:17,120 --> 00:10:20,640 Speaker 1: m b t A only penalizes companies that don't put 160 00:10:20,679 --> 00:10:25,080 Speaker 1: protective measures in place or show gross negligence that causes 161 00:10:25,120 --> 00:10:29,720 Speaker 1: significant bird deaths. For example, the BP oil spill way 162 00:10:29,760 --> 00:10:33,560 Speaker 1: back in two thousand ten. BP had been warned repeatedly 163 00:10:33,760 --> 00:10:37,440 Speaker 1: that its riggs needed maintenance, but ignored that information, and 164 00:10:37,440 --> 00:10:41,320 Speaker 1: then the explosion and resulting spill killed millions of birds. 165 00:10:41,320 --> 00:10:44,560 Speaker 1: But no one at BP was exactly sitting in a 166 00:10:44,559 --> 00:10:48,080 Speaker 1: conference room twisting his mustache and plotting how to kill 167 00:10:48,120 --> 00:10:52,680 Speaker 1: those birds. The damage was technically unintentional. If that spill 168 00:10:52,720 --> 00:10:55,960 Speaker 1: happened today, the company could have escaped without paying for 169 00:10:56,000 --> 00:10:59,520 Speaker 1: its impact. As it was. Because of the Migratory Bird 170 00:10:59,520 --> 00:11:03,920 Speaker 1: Treaty at BP paid over one hundred million dollars toward 171 00:11:04,080 --> 00:11:08,439 Speaker 1: bird habitat restoration, which led to significant bird recovery in 172 00:11:08,480 --> 00:11:12,959 Speaker 1: the Gulf. In short, this rule reversal is good news 173 00:11:12,960 --> 00:11:15,680 Speaker 1: out of d C whould have thought that was possible. 174 00:11:19,640 --> 00:11:23,560 Speaker 1: Moving on and continuing our multi episode coverage of snorts 175 00:11:23,600 --> 00:11:27,240 Speaker 1: ancient ancestors. If you don't remember snort, the star of 176 00:11:27,280 --> 00:11:32,520 Speaker 1: the Snort report is my little yellow lab. Researchers have 177 00:11:32,679 --> 00:11:35,080 Speaker 1: zeroed in on a single cave on the border of 178 00:11:35,160 --> 00:11:38,080 Speaker 1: present day Germany and Switzerland that seems to be a 179 00:11:38,160 --> 00:11:42,480 Speaker 1: ground zero for the original human domestication of wolves into dogs. 180 00:11:43,000 --> 00:11:46,160 Speaker 1: In a study published in the journal Scientific Reports, the 181 00:11:46,240 --> 00:11:50,280 Speaker 1: authors examined sixteen thousand year old evidence from the Gunner's 182 00:11:50,360 --> 00:11:55,400 Speaker 1: Hoholy Cave, using analysis from several different disciplines to understand 183 00:11:55,480 --> 00:11:59,640 Speaker 1: the canads who lived alongside humans there. The genetic analysis 184 00:11:59,640 --> 00:12:02,800 Speaker 1: of the animal remains revealed that these weren't fully wolves 185 00:12:03,040 --> 00:12:06,360 Speaker 1: or fully dogs, but rather a hybrid capturing the transition 186 00:12:06,400 --> 00:12:09,880 Speaker 1: of wolf into dog. In fact, and I'm quoting from 187 00:12:09,880 --> 00:12:14,320 Speaker 1: the study here, this DNA contained almost the entire breadth 188 00:12:14,559 --> 00:12:18,960 Speaker 1: of genetic diversity of all contemporary and ancient dogs and 189 00:12:19,240 --> 00:12:22,679 Speaker 1: most wolves. That means that even though the beginnings of 190 00:12:22,720 --> 00:12:27,440 Speaker 1: domestication started earlier as wolves began to follow human migrations, 191 00:12:27,760 --> 00:12:30,640 Speaker 1: this is likely one of the very few places that 192 00:12:30,840 --> 00:12:35,040 Speaker 1: intentional dog breeding by humans happened for the first time. 193 00:12:35,760 --> 00:12:39,520 Speaker 1: Makes you think, if modern dog is man's best friend, 194 00:12:40,080 --> 00:12:46,040 Speaker 1: would these ancient hybrids be considered man's best acquaintance or 195 00:12:46,440 --> 00:12:52,120 Speaker 1: man's best friend of friend mhm. The team also used 196 00:12:52,160 --> 00:12:55,360 Speaker 1: isotope analysis, meaning they broke down samples of bone and 197 00:12:55,440 --> 00:12:58,120 Speaker 1: other tissue to see what these canids have been eating, 198 00:12:58,559 --> 00:13:00,840 Speaker 1: and it turns out that they were assuming a lot 199 00:13:00,960 --> 00:13:05,040 Speaker 1: less protein than wild wolves at the time were Because 200 00:13:05,040 --> 00:13:07,800 Speaker 1: of the difference in diet between hybrids and their wolf 201 00:13:07,880 --> 00:13:11,320 Speaker 1: ear kin. The team concluded that humans must have been 202 00:13:11,360 --> 00:13:16,040 Speaker 1: feeding them as consistent partners, rather than incidentally leaving food 203 00:13:16,040 --> 00:13:19,360 Speaker 1: scraps behind, which is significant if you think about it. 204 00:13:19,880 --> 00:13:26,559 Speaker 1: That means resources dedicated resources to dog the very infancy 205 00:13:26,880 --> 00:13:31,360 Speaker 1: of spoiled dog culture. On one end of the spectrum, 206 00:13:31,800 --> 00:13:35,760 Speaker 1: dog follow human hope for scraps left behind. On the 207 00:13:35,800 --> 00:13:39,360 Speaker 1: other end of the spectrum, dog carried by human and 208 00:13:39,440 --> 00:13:43,240 Speaker 1: matching designer sweatsuit, and dog knows damned well it will 209 00:13:43,280 --> 00:13:45,560 Speaker 1: be fed, and that feeding will have nothing to do 210 00:13:45,679 --> 00:13:48,840 Speaker 1: with the level of contribution to the relationship. This is 211 00:13:48,840 --> 00:13:52,880 Speaker 1: Sebastian phineas he goes by Sebastian. He loves meeting other dogs. 212 00:13:52,920 --> 00:13:57,199 Speaker 1: He'll never barks a VCS people. That conclusion that ancient 213 00:13:57,280 --> 00:14:00,720 Speaker 1: humans were feeding early dogs a largely ply based, low 214 00:14:00,760 --> 00:14:05,120 Speaker 1: protein diet is a pretty fascinating conclusion as well, especially 215 00:14:05,160 --> 00:14:08,640 Speaker 1: in light of another study that came out recently suggesting 216 00:14:08,679 --> 00:14:11,640 Speaker 1: that ancient humans were eating much more meat and a 217 00:14:11,679 --> 00:14:15,240 Speaker 1: lot less vegetables than we do today. In that study, 218 00:14:15,280 --> 00:14:18,640 Speaker 1: a team from Tel Aviv University analyzed over four hundred 219 00:14:18,679 --> 00:14:22,640 Speaker 1: scientific papers to understand as many aspects of early human 220 00:14:22,720 --> 00:14:26,560 Speaker 1: diet and food gathering as possible. Among many other signs 221 00:14:26,600 --> 00:14:29,320 Speaker 1: of a diet high end animal protein, they cite the 222 00:14:29,360 --> 00:14:33,520 Speaker 1: fact that humans developed stomach acid, something that only predators do, 223 00:14:33,840 --> 00:14:38,240 Speaker 1: as the acid helps kill potentially toxic meat borne bacteria. 224 00:14:38,400 --> 00:14:41,440 Speaker 1: For those of you who suffer from acid reflux, you've 225 00:14:41,480 --> 00:14:45,040 Speaker 1: got adventurous eaters in your past to think. According to 226 00:14:45,080 --> 00:14:48,680 Speaker 1: the paper, starting about forty years ago, humans began a 227 00:14:48,720 --> 00:14:52,840 Speaker 1: steady move away from so called hyper carnivory, and this 228 00:14:52,920 --> 00:14:57,400 Speaker 1: shift to eating more plants only intensified after the widespread 229 00:14:57,400 --> 00:15:01,400 Speaker 1: adoption of agriculture. So this p gression away from eating 230 00:15:01,680 --> 00:15:05,520 Speaker 1: almost entirely meat would seem to fit with the evidence 231 00:15:05,680 --> 00:15:09,720 Speaker 1: that by just sixteen thousand years ago, less meat was 232 00:15:09,800 --> 00:15:13,920 Speaker 1: being fed to man's prehistoric best friend. This could still 233 00:15:13,960 --> 00:15:18,200 Speaker 1: be seen as animal protein being harder to acquire, thus 234 00:15:18,280 --> 00:15:22,240 Speaker 1: higher value. A few scraps make it to the dogs 235 00:15:22,280 --> 00:15:25,840 Speaker 1: because they're valuable to humans. Now, I have had a 236 00:15:25,840 --> 00:15:28,720 Speaker 1: pretty long line of yellow labs. In my life, all 237 00:15:28,760 --> 00:15:33,160 Speaker 1: of them have seemed happy to consume apple cores, carrots, potatoes, 238 00:15:33,360 --> 00:15:36,520 Speaker 1: corn on the cob, and the stock itself. But my 239 00:15:36,720 --> 00:15:41,680 Speaker 1: observations say, the greener the non meat food, the less 240 00:15:41,760 --> 00:15:45,560 Speaker 1: appetizing for the dog, which is funny to think of 241 00:15:45,720 --> 00:15:49,000 Speaker 1: if you've ever watched your pampered dog try to devour 242 00:15:49,160 --> 00:15:52,320 Speaker 1: road kill or some other green meat. If you listen 243 00:15:52,360 --> 00:15:56,640 Speaker 1: to the Meat Eator podcast with the fantastic doctor David Meltzer, 244 00:15:57,000 --> 00:16:00,000 Speaker 1: you'll hear him say dogs were the first domesticated animal 245 00:16:00,080 --> 00:16:02,600 Speaker 1: on the planet, which is a fun thing to think about. 246 00:16:02,760 --> 00:16:05,480 Speaker 1: If you ever find yourself on a hunt, laying on 247 00:16:05,520 --> 00:16:08,040 Speaker 1: the ground next to the fire with the dog next 248 00:16:08,080 --> 00:16:16,840 Speaker 1: to you staring off into the darkness, you aren't unique. 249 00:16:17,320 --> 00:16:20,680 Speaker 1: You're just repeating a trend that started some sixteen to 250 00:16:20,920 --> 00:16:26,320 Speaker 1: twenty thousand years ago. You poser moving on to the 251 00:16:26,440 --> 00:16:31,720 Speaker 1: muddying the Water's desk some interesting new findings on Walleye 252 00:16:31,800 --> 00:16:35,400 Speaker 1: and the Upper Midwest. We know that rising water temperatures 253 00:16:35,440 --> 00:16:38,280 Speaker 1: over the last few decades have spelled troubled for the 254 00:16:38,320 --> 00:16:41,920 Speaker 1: cold water species. Usually the warmer the water, the lower 255 00:16:41,960 --> 00:16:45,720 Speaker 1: their growth rates and reproductive success, But it turns out 256 00:16:45,880 --> 00:16:48,600 Speaker 1: that warmer temps might not be the only factor in 257 00:16:48,680 --> 00:16:51,760 Speaker 1: play here. A team of scientists at Penn State has 258 00:16:51,800 --> 00:16:55,440 Speaker 1: been examining the role of water turbidity in mitigating the 259 00:16:55,480 --> 00:16:59,600 Speaker 1: effects of higher temperatures on walleye. Turbidity is a lack 260 00:16:59,720 --> 00:17:03,000 Speaker 1: of alredy in water caused by sediment or other tiny 261 00:17:03,080 --> 00:17:06,320 Speaker 1: particles suspended in that water. Just to get a little 262 00:17:06,359 --> 00:17:09,800 Speaker 1: nerdier on this topic, you measure the turbidity of water 263 00:17:10,080 --> 00:17:13,800 Speaker 1: by beaming light through your sample and then recording how 264 00:17:13,880 --> 00:17:17,200 Speaker 1: much light hits a sensor positioned at a ninety degree 265 00:17:17,240 --> 00:17:20,760 Speaker 1: angle to the light source. In clear water, the light 266 00:17:20,840 --> 00:17:24,800 Speaker 1: shoots straight through, and cloudy water, the light hits the 267 00:17:24,880 --> 00:17:28,760 Speaker 1: little suspended particles and scatters in all directions, so more 268 00:17:28,880 --> 00:17:32,640 Speaker 1: light hits that sensor at the ninety degree angle. This 269 00:17:32,680 --> 00:17:37,280 Speaker 1: technique is called nephilemetry, and so the cloudiness of water 270 00:17:37,600 --> 00:17:42,720 Speaker 1: is measured in nephilometric turbidity units or into use. So 271 00:17:42,800 --> 00:17:45,720 Speaker 1: now you know that turns out that when a body 272 00:17:45,720 --> 00:17:49,399 Speaker 1: of water is more turbid, it's temperature can climb and 273 00:17:49,520 --> 00:17:54,359 Speaker 1: Walleye populations hold steady. When into use go down, meaning 274 00:17:54,359 --> 00:17:57,880 Speaker 1: the water gets clear heat has a more direct negative 275 00:17:57,880 --> 00:18:03,399 Speaker 1: effect on wallyye, so are warm water bad turbid warm 276 00:18:03,400 --> 00:18:08,159 Speaker 1: water not so bad. The Penn State scientists don't speculate 277 00:18:08,200 --> 00:18:11,479 Speaker 1: on why cloudy or warm water is easier on Walley 278 00:18:11,720 --> 00:18:15,040 Speaker 1: than clear warm water, but we do know a few 279 00:18:15,080 --> 00:18:18,480 Speaker 1: other effects of direct sunlight in warm clear water, such 280 00:18:18,520 --> 00:18:22,800 Speaker 1: as increased algae growth, which can consume oxygen. If you've 281 00:18:22,800 --> 00:18:25,480 Speaker 1: ever spear fished, you know that clear water can be 282 00:18:25,520 --> 00:18:28,720 Speaker 1: great for visibility but bad for getting within range of 283 00:18:28,720 --> 00:18:32,040 Speaker 1: a fish. We also know that in systems with invasive 284 00:18:32,160 --> 00:18:35,359 Speaker 1: zebra muscles, the plankton they eat clear as the water. 285 00:18:35,880 --> 00:18:38,960 Speaker 1: The absence of plankton isn't a big deal for mature fish, 286 00:18:39,200 --> 00:18:42,040 Speaker 1: but for fish in the earliest stages of life, it 287 00:18:42,119 --> 00:18:45,040 Speaker 1: is also what they eat. So when little fish have 288 00:18:45,119 --> 00:18:47,600 Speaker 1: nothing to eat, they don't last long enough to be 289 00:18:47,680 --> 00:18:50,520 Speaker 1: eaten by big fish, and big fish would have to 290 00:18:50,560 --> 00:18:55,400 Speaker 1: travel farther into low oxygen scenarios with up to algae growth, 291 00:18:55,800 --> 00:18:58,639 Speaker 1: meaning that that clear water sure looks pretty, but it 292 00:18:58,680 --> 00:19:01,040 Speaker 1: can be a sign that life in the ecosystem is 293 00:19:01,119 --> 00:19:03,960 Speaker 1: dying out and maybe I should have gone to Penn State. 294 00:19:08,200 --> 00:19:10,920 Speaker 1: It could be that when tempts rise. In the absence 295 00:19:10,920 --> 00:19:15,680 Speaker 1: of zebra muscles, plankton is more abundant, the water stays cloudier, 296 00:19:15,720 --> 00:19:19,080 Speaker 1: and the food sources wallet depend on are easier to find, 297 00:19:19,400 --> 00:19:24,159 Speaker 1: which offsets the heat stress. Again, I'm going beyond the 298 00:19:24,200 --> 00:19:27,159 Speaker 1: conclusions of the Penn State study, but one thing is 299 00:19:27,200 --> 00:19:29,920 Speaker 1: for sure. It is only in a lab that one 300 00:19:30,040 --> 00:19:33,680 Speaker 1: factor can be isolated as the cause of a particular phenomenon. 301 00:19:34,200 --> 00:19:37,280 Speaker 1: In the field, there are always dozens or hundreds or 302 00:19:37,320 --> 00:19:41,360 Speaker 1: millions of factors all coming together to create a certain situation. 303 00:19:42,520 --> 00:19:47,680 Speaker 1: Moving on to the blue steel desk, the fashion industry 304 00:19:47,760 --> 00:19:51,440 Speaker 1: maybe writing to the rescue in solving the Burmese python 305 00:19:51,600 --> 00:19:56,399 Speaker 1: infestation in the Florida Everglades. The fashion designer l Barbado 306 00:19:56,720 --> 00:20:00,560 Speaker 1: recently unveiled the line of clothing and accessories made from 307 00:20:00,600 --> 00:20:03,320 Speaker 1: the skins of pythons that she and her father hunted 308 00:20:03,359 --> 00:20:07,320 Speaker 1: south of Miami, Barbados. Dad sounds like my kind of guy. 309 00:20:07,520 --> 00:20:11,040 Speaker 1: When he and a friend began to have success begging pythons, 310 00:20:11,080 --> 00:20:14,240 Speaker 1: he started skinning them and storing the hides without a 311 00:20:14,280 --> 00:20:19,080 Speaker 1: definite purpose in mind. According to the fashion blog Day's Digital, 312 00:20:19,400 --> 00:20:22,359 Speaker 1: he told his daughter, I'm not going to have Mother 313 00:20:22,440 --> 00:20:25,280 Speaker 1: Earth piste off at me for not honoring this snake's 314 00:20:25,359 --> 00:20:29,159 Speaker 1: life and using every single part of it. Barbados, a 315 00:20:29,240 --> 00:20:32,840 Speaker 1: designer who cut her teeth working on Kanye west Yeasy 316 00:20:32,960 --> 00:20:36,680 Speaker 1: line of clothing, started working with the snake hides, then 317 00:20:36,760 --> 00:20:40,480 Speaker 1: added more that she had hunted herself, and this spring 318 00:20:40,800 --> 00:20:44,359 Speaker 1: she came out with her hunting inspired collection, including a 319 00:20:44,359 --> 00:20:46,680 Speaker 1: piece based on the kind of gilly suit you might 320 00:20:46,720 --> 00:20:51,119 Speaker 1: wear while going after gobblers. Incidentally, this isn't the first 321 00:20:51,160 --> 00:20:54,800 Speaker 1: time that Kanye West related fashion and the hunting industry 322 00:20:54,800 --> 00:20:58,440 Speaker 1: of intersected. You may remember back in two thousand eighteen 323 00:20:58,520 --> 00:21:01,639 Speaker 1: when the company that owns Real Tree Camo sued West 324 00:21:01,880 --> 00:21:05,640 Speaker 1: for pirrating their copyrighted pattern for use on several items, 325 00:21:05,840 --> 00:21:09,800 Speaker 1: including a pair of thigh highest ailetto heeled boots. You 326 00:21:09,840 --> 00:21:12,439 Speaker 1: know I should dust off my pair of those boots. 327 00:21:12,480 --> 00:21:19,000 Speaker 1: I got a ton of compliments on them anyway. The 328 00:21:19,040 --> 00:21:23,720 Speaker 1: blog post refers to Barbados Python skin line as quote 329 00:21:23,960 --> 00:21:27,760 Speaker 1: utilitarian and although I will concede that her pieces may 330 00:21:27,800 --> 00:21:30,679 Speaker 1: serve you better in the field than this springs offerings 331 00:21:30,680 --> 00:21:34,560 Speaker 1: from Louis Baton or Balenciaga. I don't think there's a 332 00:21:34,600 --> 00:21:38,719 Speaker 1: threat to the traditional camo industry here. But if this 333 00:21:38,760 --> 00:21:42,320 Speaker 1: trend were to explode in popularity, maybe we would stand 334 00:21:42,359 --> 00:21:46,399 Speaker 1: a chance of bringing python numbers under control. After all, 335 00:21:46,560 --> 00:21:51,199 Speaker 1: as we've discussed before, entire species of shore birds like 336 00:21:51,320 --> 00:21:54,879 Speaker 1: egrets and spoonbills were almost wiped out in the eighteen 337 00:21:54,960 --> 00:21:58,800 Speaker 1: hundreds by plume hunters supplying feathers for the fancy hats 338 00:21:58,800 --> 00:22:01,600 Speaker 1: of the well to do. At the height of the industry, 339 00:22:01,920 --> 00:22:07,080 Speaker 1: plumes were worth more than gold. So if somehow we 340 00:22:07,119 --> 00:22:11,480 Speaker 1: could make python skin the must have accessory for anyone 341 00:22:11,720 --> 00:22:16,040 Speaker 1: who wants to wile the paparazzi at Cohn once quarantine 342 00:22:16,160 --> 00:22:19,040 Speaker 1: is lifted, maybe we could drive the price of snake 343 00:22:19,119 --> 00:22:23,560 Speaker 1: hides to the moon. Then ambitious market hunters would descend 344 00:22:23,560 --> 00:22:26,919 Speaker 1: on South Florida and solve the problem faster than the 345 00:22:26,920 --> 00:22:30,640 Speaker 1: Python Bowl or any State of Florida marketing attempt ever. 346 00:22:30,760 --> 00:22:34,960 Speaker 1: Will Kim Kardashian, if you're listening out there, and I 347 00:22:35,000 --> 00:22:37,840 Speaker 1: know you are, slide into the d m s and 348 00:22:38,040 --> 00:22:41,480 Speaker 1: let's make this happen. That's all I got for you 349 00:22:41,600 --> 00:22:44,639 Speaker 1: this week. Thanks so much for listening. If you're loving 350 00:22:44,640 --> 00:22:46,320 Speaker 1: what you're here, and be sure to tell a friend 351 00:22:46,320 --> 00:22:50,879 Speaker 1: about Col's we can review, but most importantly, right in 352 00:22:50,920 --> 00:22:54,080 Speaker 1: to a s k C A L. Let's ask Cal 353 00:22:54,400 --> 00:22:56,720 Speaker 1: at the meat Eater dot com and let me know 354 00:22:56,760 --> 00:22:59,439 Speaker 1: what's going on in your neck of the woods. Thanks again, 355 00:22:59,680 --> 00:23:08,200 Speaker 1: and I'll hockey next week.