1 00:00:09,400 --> 00:00:13,480 Speaker 1: From Mediator's World News headquarters in Bozeman, Montana. This is 2 00:00:13,680 --> 00:00:18,040 Speaker 1: Kel's we can review with Ruyankel Kelly and now here's 3 00:00:18,079 --> 00:00:22,960 Speaker 1: Kel Fort Keio U s d A. That's the US 4 00:00:23,079 --> 00:00:29,320 Speaker 1: Department of Agriculture research station located just outside of Miles City, Montana, 5 00:00:29,520 --> 00:00:32,640 Speaker 1: home of the cowboys and the world famous Bucking Horse 6 00:00:32,680 --> 00:00:37,839 Speaker 1: sale as a boat ramp into the Yellowstone River, the 7 00:00:37,960 --> 00:00:42,480 Speaker 1: longest undamned river in the US, and that boat ramp 8 00:00:42,600 --> 00:00:48,440 Speaker 1: has a history. The Yellowstone is an absolutely amazing river 9 00:00:48,920 --> 00:00:52,400 Speaker 1: starts all the way up here right next to Bozeman, Montana, 10 00:00:52,640 --> 00:00:56,920 Speaker 1: home a Meat Eater World headquarters. At its start, it's 11 00:00:56,960 --> 00:01:02,200 Speaker 1: a phenomenal trout river, and as you descend all the 12 00:01:02,240 --> 00:01:06,840 Speaker 1: way down by Miles City, there is a crazy bounty 13 00:01:06,920 --> 00:01:12,200 Speaker 1: of fish fossils, living fossils such as the paddlefish and 14 00:01:12,240 --> 00:01:16,279 Speaker 1: the sturgeon pallid sturgeons down there, but also like tons 15 00:01:16,319 --> 00:01:19,119 Speaker 1: of fossils coming out of the river, like mammoths and 16 00:01:19,200 --> 00:01:21,959 Speaker 1: all sorts of crazy stuff. The point is people want 17 00:01:21,959 --> 00:01:24,800 Speaker 1: to get to it. This boat ramp used to be 18 00:01:24,959 --> 00:01:31,400 Speaker 1: frequented by families, anglers, hunters, general recreators until some nothead 19 00:01:31,600 --> 00:01:34,399 Speaker 1: drove off the road to the river access and tore 20 00:01:34,520 --> 00:01:39,360 Speaker 1: up an agricultural field. In response, the U. S d 21 00:01:39,480 --> 00:01:43,200 Speaker 1: A closed off the boat ramp to public access. The 22 00:01:43,240 --> 00:01:47,240 Speaker 1: public suffered as there is no other public boat launch 23 00:01:47,319 --> 00:01:50,919 Speaker 1: within any reasonable distance on any sort of good ground 24 00:01:50,920 --> 00:01:55,120 Speaker 1: to launch a boat. Being as Montana's by and large 25 00:01:55,240 --> 00:01:59,200 Speaker 1: are resourceful, friendly, and good natured folks when it comes 26 00:01:59,200 --> 00:02:02,920 Speaker 1: to being outside anyway, group got together came up with 27 00:02:02,960 --> 00:02:07,480 Speaker 1: a solution based on accountability. To get the access, reopened 28 00:02:08,040 --> 00:02:10,839 Speaker 1: a gate with a pass code. In order to get 29 00:02:10,960 --> 00:02:13,440 Speaker 1: the code, you had to provide your license plate number 30 00:02:13,520 --> 00:02:17,240 Speaker 1: or some sort of you know reference. A dollar amount 31 00:02:17,400 --> 00:02:20,920 Speaker 1: was figured out for the installation. A loose agreement was 32 00:02:21,760 --> 00:02:25,720 Speaker 1: formed saying basically, you raised the funds, will reopen the launch. 33 00:02:26,520 --> 00:02:31,399 Speaker 1: Then the Eastern Montana Chapter of Backcountry Hunters and Anglers 34 00:02:31,600 --> 00:02:35,760 Speaker 1: went about collecting funds and putting together fundraisers and generally 35 00:02:35,800 --> 00:02:38,680 Speaker 1: asking all sorts of people from all sorts of walks 36 00:02:38,680 --> 00:02:41,840 Speaker 1: of life how they felt about this situation and asking 37 00:02:41,880 --> 00:02:43,960 Speaker 1: them if they could chip in a couple of bucks. 38 00:02:44,440 --> 00:02:48,160 Speaker 1: The funds were raised. Then, instead of the installation of 39 00:02:48,200 --> 00:02:51,440 Speaker 1: a gate based on accountability, in the reopening of a 40 00:02:51,560 --> 00:02:57,920 Speaker 1: freedom loving person's river access the process stopped. Inexplicably, the U. 41 00:02:58,040 --> 00:03:00,800 Speaker 1: S d A seems to want an old part of 42 00:03:00,919 --> 00:03:05,840 Speaker 1: people accessing the river, despite public statements to the contrary. 43 00:03:06,080 --> 00:03:10,640 Speaker 1: Montana Senators Steve Danes and John Tester have both voiced 44 00:03:10,760 --> 00:03:15,320 Speaker 1: their support for this critical public access project, and just recently, 45 00:03:15,520 --> 00:03:18,880 Speaker 1: in a letter to Sonny Purdue himself, the Governor of 46 00:03:18,919 --> 00:03:23,919 Speaker 1: Montana asked the Good Secretary to make this happen again, 47 00:03:24,280 --> 00:03:28,840 Speaker 1: citing the overwhelming bipartisan support of a Democratic senator, a 48 00:03:28,919 --> 00:03:33,280 Speaker 1: Republican senator, as well as Montana Fish, wildlife and parks, 49 00:03:33,280 --> 00:03:38,800 Speaker 1: and even the anglers surrounding the Greater Miles City metropolitan area. 50 00:03:39,080 --> 00:03:41,720 Speaker 1: So if you can do me a favor, I am 51 00:03:41,880 --> 00:03:46,280 Speaker 1: leading the show with this call to action. Call Senators 52 00:03:46,400 --> 00:03:49,640 Speaker 1: Danes and Tester and tell them their job is not 53 00:03:49,880 --> 00:03:53,880 Speaker 1: done until we get this done. Keep working on behalf 54 00:03:53,920 --> 00:03:57,520 Speaker 1: of access for all of us. And you can also 55 00:03:57,600 --> 00:04:00,560 Speaker 1: tell Sonny Purdue and the U. S d A by 56 00:04:00,600 --> 00:04:05,800 Speaker 1: going to www dot U s d A dot gov 57 00:04:05,840 --> 00:04:10,560 Speaker 1: forward slash tell Sunny that's s O N N Y. 58 00:04:10,560 --> 00:04:13,640 Speaker 1: Fill out the form and tell them to get access 59 00:04:13,800 --> 00:04:17,800 Speaker 1: for all by opening this boat ramp at Fort KYO 60 00:04:18,000 --> 00:04:24,719 Speaker 1: k e O g h Montana by hunting season. This 61 00:04:24,800 --> 00:04:29,640 Speaker 1: week We've got trout, grizzlies, mushrooms, and so much more. 62 00:04:30,120 --> 00:04:33,840 Speaker 1: But first I'm gonna tell you about my week Uh. 63 00:04:33,920 --> 00:04:35,680 Speaker 1: This is really the meat and potatoes of the whole 64 00:04:35,720 --> 00:04:39,200 Speaker 1: dang show if I'm being honest, as everyone knows my 65 00:04:39,360 --> 00:04:42,960 Speaker 1: week end. This podcast is powered by Steel Power Equipment. 66 00:04:43,440 --> 00:04:48,440 Speaker 1: Steel has that iconic orange and white chainsaw leafblower, power 67 00:04:48,520 --> 00:04:52,000 Speaker 1: sprayer make your wood lot, backyard, garden, raised bed life 68 00:04:52,080 --> 00:04:55,840 Speaker 1: easier type of company. I use their pul saus electric 69 00:04:55,920 --> 00:04:59,400 Speaker 1: and gas chainsaws, and I know and trust a bunch 70 00:04:59,440 --> 00:05:02,080 Speaker 1: of other folk who do too. Give them a look 71 00:05:02,120 --> 00:05:03,719 Speaker 1: the next time you're in the market and want to 72 00:05:03,760 --> 00:05:07,560 Speaker 1: help out this podcast. Another fun thing you can do 73 00:05:08,000 --> 00:05:11,799 Speaker 1: is check out f h F Gear that's fish hunt 74 00:05:11,839 --> 00:05:15,520 Speaker 1: Fight Gear out of Bozeman, Montana. F h F, if 75 00:05:15,560 --> 00:05:19,520 Speaker 1: you don't know, began as a customed tactical gear accessories 76 00:05:19,560 --> 00:05:24,240 Speaker 1: maker that changed slowly into custom chest harnesses, fly fishing 77 00:05:24,560 --> 00:05:28,599 Speaker 1: and binocular holding. Now they make all sorts of awesome stuff. 78 00:05:28,760 --> 00:05:32,560 Speaker 1: All of us at the Meat Eater swear By. I 79 00:05:32,600 --> 00:05:35,240 Speaker 1: have known the owner and founder, Paul Lewis for years. 80 00:05:35,600 --> 00:05:39,600 Speaker 1: He is a design genius. If you ask me now, 81 00:05:39,600 --> 00:05:42,599 Speaker 1: you're probably want to know what happened during my week, 82 00:05:42,839 --> 00:05:46,000 Speaker 1: and I'm gonna tell you what I can. Frankly, way 83 00:05:46,000 --> 00:05:50,000 Speaker 1: too much happened this week Grizzly bears, fishing, conventional and 84 00:05:50,120 --> 00:05:53,920 Speaker 1: non it was wild. If you don't believe me, I'll 85 00:05:53,960 --> 00:05:56,840 Speaker 1: be able to provide proof in the form of a 86 00:05:56,920 --> 00:06:01,719 Speaker 1: future episode of The Cow's Weekend Review. Field reports YouTube 87 00:06:01,760 --> 00:06:06,880 Speaker 1: series Grizzly Bears. I've seen grizzly bears do some wild 88 00:06:07,160 --> 00:06:11,080 Speaker 1: crazy stuff. I've seen them roll boulders that they dug 89 00:06:11,080 --> 00:06:13,360 Speaker 1: out of the side of a hill like the size 90 00:06:13,400 --> 00:06:15,520 Speaker 1: of a v W A bug, as if it was 91 00:06:15,560 --> 00:06:19,560 Speaker 1: no big deal. They've charged me several times. I've seen 92 00:06:19,640 --> 00:06:22,120 Speaker 1: him cross Talas slopes. I've seen him a cross a 93 00:06:22,160 --> 00:06:26,440 Speaker 1: glacier one time. I've seen him cover ground fast. I've 94 00:06:26,440 --> 00:06:29,880 Speaker 1: seen him dig squirrels. I've seen him roll snowballs. I've 95 00:06:29,880 --> 00:06:33,640 Speaker 1: seen him enjoy life, and I've even hunted him a bunch. 96 00:06:33,680 --> 00:06:37,200 Speaker 1: I've never snapped cap on one, as we used to say, 97 00:06:37,240 --> 00:06:42,679 Speaker 1: but man, I appreciate this animal. Recently, as in this week, 98 00:06:43,000 --> 00:06:47,880 Speaker 1: I joined Idaho Fishing Game Regional biologists and lead grizzly 99 00:06:47,920 --> 00:06:51,680 Speaker 1: bear biologist Jeremy Nicholson, as well as Chief of Wildlife 100 00:06:51,680 --> 00:06:54,320 Speaker 1: Toby Boudreau, and a bunch of other great folks to 101 00:06:54,440 --> 00:06:58,200 Speaker 1: trap and call her grizzly bears for an ongoing grizzly 102 00:06:58,279 --> 00:07:02,039 Speaker 1: population study. I was really excited for the opportunity to 103 00:07:02,080 --> 00:07:05,320 Speaker 1: watch this process, talk with the crew, and get a 104 00:07:05,440 --> 00:07:09,280 Speaker 1: better understanding of what the grizzly story was on Idaho 105 00:07:09,440 --> 00:07:13,000 Speaker 1: side of the Greater Yellowstone Ecosystem or g y E. 106 00:07:13,640 --> 00:07:16,360 Speaker 1: As I am sure everyone knows, this is a hotly 107 00:07:16,560 --> 00:07:19,920 Speaker 1: contested topic. How many bears are there and how are 108 00:07:19,920 --> 00:07:22,600 Speaker 1: they doing? If you've been paying attention to the news. 109 00:07:22,680 --> 00:07:26,040 Speaker 1: Just a couple of days ago, a federal court upheld 110 00:07:26,080 --> 00:07:29,880 Speaker 1: a lower court's decision to keep the grizzly bear on 111 00:07:29,920 --> 00:07:35,440 Speaker 1: the threatened species list despite a Trump order to US 112 00:07:35,480 --> 00:07:39,000 Speaker 1: Fish and Wildlife to remove the grizz from the threatened 113 00:07:39,040 --> 00:07:42,000 Speaker 1: species list. So that's kind of where we are. This 114 00:07:42,080 --> 00:07:45,600 Speaker 1: basically means that the grizz in the lower forty eight 115 00:07:45,800 --> 00:07:49,880 Speaker 1: is federally managed. But if you recall, as I just said, 116 00:07:49,960 --> 00:07:53,000 Speaker 1: I was out with the state of Idaho. So how 117 00:07:53,000 --> 00:07:56,440 Speaker 1: does that work? Well, there are federal grants that help 118 00:07:56,480 --> 00:07:59,000 Speaker 1: pay for the states of Montana, Wyoming, and Idaho to 119 00:07:59,080 --> 00:08:03,440 Speaker 1: manage the threatened grizzly bear. Management is a big word 120 00:08:03,920 --> 00:08:08,360 Speaker 1: in this case. The state biologists, conservation officers, technicians, and 121 00:08:08,480 --> 00:08:14,120 Speaker 1: volunteers manage grizzly bears by trapping, tracking, releasing, relocating, and 122 00:08:14,200 --> 00:08:18,640 Speaker 1: recording data lots and lots of data. They manage by 123 00:08:18,720 --> 00:08:23,360 Speaker 1: coordinating with multiple agencies and nonprofits to educate an ever 124 00:08:23,560 --> 00:08:28,800 Speaker 1: changing group of people who come to recreate, visit, fish, hunt, 125 00:08:29,160 --> 00:08:33,960 Speaker 1: owned cabins, own second homes in grizzly country. They educate 126 00:08:34,040 --> 00:08:37,040 Speaker 1: these folks to behave in a bear safe way. They 127 00:08:37,080 --> 00:08:42,000 Speaker 1: manage grizzlies by investigating incidents that may involve a problem bear. 128 00:08:42,440 --> 00:08:45,080 Speaker 1: In the case of a problem bear that refuses to 129 00:08:45,160 --> 00:08:49,840 Speaker 1: take the training provided by hazing, capture and relocating, and 130 00:08:50,080 --> 00:08:54,640 Speaker 1: that bear becomes a repetitive problem bear, the bear is killed. 131 00:08:55,240 --> 00:08:59,880 Speaker 1: This shouldn't be shocking. This is what happens in Montana, Idaho, Wyoming, 132 00:09:00,240 --> 00:09:05,280 Speaker 1: and even inside Yellowstone Park on occasion. There is, of course, 133 00:09:05,440 --> 00:09:09,160 Speaker 1: some federal oversight and compliance. Certain decisions like the one 134 00:09:09,200 --> 00:09:12,640 Speaker 1: to kill or remove a grizzly from the ecosystem certainly 135 00:09:12,880 --> 00:09:17,520 Speaker 1: requires okays from multiple people, but at the end of 136 00:09:17,559 --> 00:09:20,840 Speaker 1: the day, of the state is doing the work. If 137 00:09:20,880 --> 00:09:24,319 Speaker 1: this factoid is revolting to you, A lot of these 138 00:09:24,360 --> 00:09:28,680 Speaker 1: federally threatened bare deaths are linked back to folks vacationing 139 00:09:28,800 --> 00:09:31,719 Speaker 1: in some form and being too darned lazy to keep 140 00:09:31,760 --> 00:09:35,880 Speaker 1: their trash or coolers or bird feeders or dog food 141 00:09:36,120 --> 00:09:39,440 Speaker 1: inside or in a bear proof container. Just can't be 142 00:09:39,520 --> 00:09:42,240 Speaker 1: bothered and bear dies for it. And these uh, poor 143 00:09:42,280 --> 00:09:44,720 Speaker 1: folks who love to be outside, who are working for 144 00:09:45,000 --> 00:09:47,160 Speaker 1: Idaho Fish and Game have to do it, or some 145 00:09:47,200 --> 00:09:50,520 Speaker 1: other state agency have to take care of this bear 146 00:09:50,559 --> 00:09:54,040 Speaker 1: because you know it was influenced by folks who just 147 00:09:54,040 --> 00:09:57,680 Speaker 1: couldn't clean up after themselves. So I ask you what's 148 00:09:57,679 --> 00:10:00,960 Speaker 1: more revolting. Pick off your trash, pick it up, it up, 149 00:10:01,160 --> 00:10:05,760 Speaker 1: it up, Thank you, sweetie. Let me tell you from 150 00:10:05,800 --> 00:10:09,040 Speaker 1: what I experienced, it is a lot of work to 151 00:10:09,160 --> 00:10:13,200 Speaker 1: manage grizzly bears, and it isn't all glamorous. Over the 152 00:10:13,200 --> 00:10:16,880 Speaker 1: week I dealt in fermented fish, which is gill netted 153 00:10:16,920 --> 00:10:21,360 Speaker 1: fish from another fishery study that sat in buckets until 154 00:10:21,400 --> 00:10:28,480 Speaker 1: they turned into a putrid bubbling almost cheesy smelling gray gravy. 155 00:10:28,760 --> 00:10:30,640 Speaker 1: Got a little bit of that on my shoes, and 156 00:10:30,679 --> 00:10:34,320 Speaker 1: I can tell you you can tell anyway. I dealton 157 00:10:34,440 --> 00:10:39,520 Speaker 1: road kill, moose, elk, and deer at various stages of decay, 158 00:10:39,679 --> 00:10:44,199 Speaker 1: buckets of fermented blood, and literal handfuls of partially congested 159 00:10:44,360 --> 00:10:49,440 Speaker 1: green stomach contents or rooming from the aforementioned ungulus. Keep 160 00:10:49,480 --> 00:10:51,559 Speaker 1: in mind, our temperatures are in the eighties and the 161 00:10:51,600 --> 00:10:56,200 Speaker 1: mosquitoes were real bad too. We moved two hundred fifty 162 00:10:56,240 --> 00:10:59,680 Speaker 1: pound live traps made out of welded aluminum what used 163 00:10:59,679 --> 00:11:03,280 Speaker 1: to be called culvert traps, are hauled into bait sites 164 00:11:03,559 --> 00:11:07,400 Speaker 1: selected for the catching of either conflict bears or study bears. 165 00:11:07,880 --> 00:11:11,000 Speaker 1: The difference between a conflict site and a study site 166 00:11:11,120 --> 00:11:14,240 Speaker 1: could be the difference between a you know, good looking 167 00:11:14,400 --> 00:11:18,240 Speaker 1: treed ridgeline that runs from a nice clear looking creek 168 00:11:18,559 --> 00:11:22,800 Speaker 1: up to the alpine and uh campsite or someone's yard. 169 00:11:23,120 --> 00:11:26,120 Speaker 1: The thing these sites would have in common would be 170 00:11:26,160 --> 00:11:29,959 Speaker 1: the presence are likely presence of grizzly bears and possibly 171 00:11:30,240 --> 00:11:34,600 Speaker 1: a heavily trafficked and recreated road. We were doing all 172 00:11:34,640 --> 00:11:38,800 Speaker 1: this just outside of Island Park, Idaho, which is the 173 00:11:38,840 --> 00:11:43,120 Speaker 1: most heavily trafficked recreation corridor in the whole darned state. 174 00:11:43,760 --> 00:11:46,400 Speaker 1: The trapping site is baited with all the goodies I 175 00:11:46,480 --> 00:11:49,760 Speaker 1: described earlier, and finally a few trail cameras are placed 176 00:11:49,760 --> 00:11:52,280 Speaker 1: around to see what's going on, and then a bunch 177 00:11:52,280 --> 00:11:55,320 Speaker 1: of signs are posted in a three and sixty degree 178 00:11:55,400 --> 00:11:58,200 Speaker 1: circle all the way around the bait site. That's what 179 00:11:58,360 --> 00:12:01,200 Speaker 1: you know. Three and sixty degrees me to warn any 180 00:12:01,320 --> 00:12:04,760 Speaker 1: human visitors that all this stinky stuff is going to 181 00:12:04,840 --> 00:12:08,040 Speaker 1: be bringing in bears and to stay away. The Grizzly 182 00:12:08,080 --> 00:12:11,800 Speaker 1: Beared management team here then checks the trap line both 183 00:12:11,880 --> 00:12:14,800 Speaker 1: remotely and physically. Some of the traps are set with 184 00:12:14,840 --> 00:12:18,240 Speaker 1: the transmitter that sends a signal when the trap door drops, 185 00:12:18,679 --> 00:12:21,800 Speaker 1: but even if that signal doesn't go off, they physically 186 00:12:21,800 --> 00:12:24,520 Speaker 1: go in and check the sites every day early in 187 00:12:24,559 --> 00:12:28,360 Speaker 1: the morning before temperatures rise. In fact, that's how we 188 00:12:28,400 --> 00:12:31,360 Speaker 1: found one of the bears that we trapped. Spoiler Alert 189 00:12:31,600 --> 00:12:34,760 Speaker 1: trapped a couple of bears. When a bear is trapped, 190 00:12:34,960 --> 00:12:39,319 Speaker 1: the team gathers. They visually assess the bears weight and condition. 191 00:12:40,040 --> 00:12:45,560 Speaker 1: Then they administer a dissociative anesthetic related to like ketamine, 192 00:12:46,000 --> 00:12:50,080 Speaker 1: which as eyewitness, rendered a five hundred and thirty nine 193 00:12:50,160 --> 00:12:54,640 Speaker 1: pound bore grizzly very very calm and basically a mobile 194 00:12:54,640 --> 00:12:58,440 Speaker 1: in about five minutes. Now it's important to note that 195 00:12:58,480 --> 00:13:02,920 Speaker 1: this dissociative anesthetic doesn't exactly make the bear go to sleep. 196 00:13:03,360 --> 00:13:06,240 Speaker 1: The bears awake. I would think that they're aware to 197 00:13:06,400 --> 00:13:10,240 Speaker 1: some point, which is interesting, Like their eyes stay open. 198 00:13:10,440 --> 00:13:12,800 Speaker 1: You actually put like a lubricant on their eyes and 199 00:13:12,840 --> 00:13:16,000 Speaker 1: then put like a bandana over the top of their eyes. 200 00:13:16,440 --> 00:13:19,840 Speaker 1: Jeremy's a graduate of Tennessee, so he had a State 201 00:13:19,840 --> 00:13:23,240 Speaker 1: of Tennessee beanie that he cut up specifically to put 202 00:13:23,280 --> 00:13:27,479 Speaker 1: over a bear's eyes. I thought that was real cute anyway. 203 00:13:27,679 --> 00:13:30,679 Speaker 1: Then you lay the stretcher out in front of the 204 00:13:30,720 --> 00:13:33,840 Speaker 1: trap door and then you open the trap door, which 205 00:13:33,880 --> 00:13:37,560 Speaker 1: I found thrilling to say the least, because do you 206 00:13:37,640 --> 00:13:41,560 Speaker 1: really know if he's asleep? Apparently these guys do. And 207 00:13:41,600 --> 00:13:44,480 Speaker 1: then the team and I got to act as part 208 00:13:44,480 --> 00:13:48,280 Speaker 1: of the team, which was just incredibly awesome. You grab on, 209 00:13:48,440 --> 00:13:51,480 Speaker 1: you physically grab onto the bear, grab a chunk of hide, 210 00:13:51,880 --> 00:13:54,960 Speaker 1: and we slide the bear out of the live trap 211 00:13:55,320 --> 00:14:00,640 Speaker 1: onto the stretcher. A live grizzly bear. The bear is wade, 212 00:14:00,720 --> 00:14:04,640 Speaker 1: it's temperature is taken, the mouth is open again with 213 00:14:04,640 --> 00:14:07,559 Speaker 1: with human hands, you're reaching into the mouth the jaws 214 00:14:07,600 --> 00:14:10,480 Speaker 1: of a grizzly bear. An oximeter is placed on the 215 00:14:10,480 --> 00:14:13,199 Speaker 1: bear's tongue to make sure the bear is getting enough oxygen. 216 00:14:13,640 --> 00:14:16,480 Speaker 1: If the oxygen level is low, the bear is given 217 00:14:16,480 --> 00:14:20,720 Speaker 1: oxygen by a small hose that is lubricated and gently 218 00:14:20,760 --> 00:14:26,720 Speaker 1: slid into the bear's nostril. Measurements of length, girth, headwidth, 219 00:14:26,800 --> 00:14:30,880 Speaker 1: and head length they're taken. Hair and blood samples are taken. 220 00:14:31,360 --> 00:14:35,600 Speaker 1: The bear's tracks are carefully measured, partially as an identifier 221 00:14:35,880 --> 00:14:37,800 Speaker 1: to be used in case a bear needs to be 222 00:14:37,880 --> 00:14:42,640 Speaker 1: identified by its track and like conflict situation, and eventually 223 00:14:42,920 --> 00:14:46,080 Speaker 1: it is fitted for a tracking collar. Two types of 224 00:14:46,120 --> 00:14:49,880 Speaker 1: collars are used. One is like the super fancy GPS 225 00:14:50,000 --> 00:14:53,520 Speaker 1: kind that's like constantly spitting out information to a satellite. 226 00:14:53,920 --> 00:14:56,720 Speaker 1: They typically put those on the mail bears because the 227 00:14:56,760 --> 00:14:59,440 Speaker 1: mail bears, due to being you know, a bunch of 228 00:14:59,520 --> 00:15:03,280 Speaker 1: not had uh, lose their collars really fast. So they 229 00:15:03,360 --> 00:15:06,080 Speaker 1: try to get as much information on the movements and 230 00:15:06,120 --> 00:15:09,000 Speaker 1: whereabouts of these male bears as they can and then 231 00:15:09,080 --> 00:15:12,520 Speaker 1: the female bears they get kind of the older school 232 00:15:12,840 --> 00:15:16,480 Speaker 1: style of transmitting callers that they don't get quite the 233 00:15:16,600 --> 00:15:19,680 Speaker 1: up to date info, but the info coming from a 234 00:15:19,840 --> 00:15:23,200 Speaker 1: female's caller kind of catches up to the males data 235 00:15:23,560 --> 00:15:27,600 Speaker 1: because the where the collar for a much longer period 236 00:15:27,600 --> 00:15:30,960 Speaker 1: of time, sometimes up to two years. Okay, After all 237 00:15:30,960 --> 00:15:35,320 Speaker 1: of this, the bear is carefully slid back into the 238 00:15:35,360 --> 00:15:39,480 Speaker 1: trap facing the door. This is done by having someone 239 00:15:39,800 --> 00:15:43,720 Speaker 1: grabbed the bears hind legs and kind of shuffle crab 240 00:15:43,760 --> 00:15:47,840 Speaker 1: walk backwards all the way back to the closed end 241 00:15:47,880 --> 00:15:50,560 Speaker 1: of the trap, while the rest of the team helps 242 00:15:50,600 --> 00:15:53,880 Speaker 1: slide the rest of the bear in tandem with the 243 00:15:53,920 --> 00:15:56,720 Speaker 1: person pulling's efforts until the bears all the way in 244 00:15:56,720 --> 00:15:59,720 Speaker 1: the trap. I did this on one of the bears 245 00:15:59,760 --> 00:16:02,920 Speaker 1: we trapped. You know. I just like helping out, it 246 00:16:02,960 --> 00:16:04,920 Speaker 1: doesn't matter kind of what the job is. I don't 247 00:16:04,920 --> 00:16:07,880 Speaker 1: mind getting dirty and stinky, and I love to learn 248 00:16:07,960 --> 00:16:10,280 Speaker 1: new things from folks who know what they're talking about. 249 00:16:10,760 --> 00:16:13,400 Speaker 1: So when Jeremy asked me to crawl into the bear 250 00:16:13,440 --> 00:16:16,760 Speaker 1: trap dragging a bear with me, I really didn't think 251 00:16:16,840 --> 00:16:18,920 Speaker 1: much about it at all. I just jumped in and 252 00:16:18,960 --> 00:16:21,760 Speaker 1: started to help but let me tell you. When you're 253 00:16:21,840 --> 00:16:25,440 Speaker 1: in a tiny space and you got your back against 254 00:16:25,480 --> 00:16:28,960 Speaker 1: the wall, all hunched over, and in order to look 255 00:16:29,120 --> 00:16:32,960 Speaker 1: outside to the wide open you have to look over 256 00:16:33,000 --> 00:16:37,840 Speaker 1: six ft plus of grizzly bear harry humping, big old 257 00:16:38,000 --> 00:16:41,200 Speaker 1: claws included, you know your heart starts to thump a 258 00:16:41,240 --> 00:16:45,360 Speaker 1: little bit. My brain at least started to remind me 259 00:16:45,720 --> 00:16:49,480 Speaker 1: that this isn't a situation you typically want to be in. 260 00:16:49,480 --> 00:16:53,160 Speaker 1: In fact, my brain said, you know, most folks want 261 00:16:53,200 --> 00:16:56,960 Speaker 1: to avoid volunteering for this sort of thing. The last 262 00:16:57,000 --> 00:17:00,120 Speaker 1: thing you do before the bear trap is closed and 263 00:17:00,160 --> 00:17:02,840 Speaker 1: the bear is left inside the trap to relax and 264 00:17:02,880 --> 00:17:05,800 Speaker 1: clear its head before being released. You know they don't 265 00:17:05,800 --> 00:17:08,480 Speaker 1: want to release drugged up bears. They want these bears 266 00:17:08,520 --> 00:17:11,199 Speaker 1: to go on living a long, long life, so they 267 00:17:11,240 --> 00:17:13,560 Speaker 1: want them to be fully recovered before you open that 268 00:17:13,600 --> 00:17:16,320 Speaker 1: trap and let him go. The last thing you do 269 00:17:16,800 --> 00:17:20,600 Speaker 1: is you give four shots of penicillin to the bear, 270 00:17:20,720 --> 00:17:23,560 Speaker 1: one in each quarter, one in his shoulder, one in 271 00:17:23,600 --> 00:17:27,520 Speaker 1: each ham. This is to pre emptively get ahead of 272 00:17:27,520 --> 00:17:31,200 Speaker 1: any possible infections. The process of pulling samples get have 273 00:17:31,240 --> 00:17:34,800 Speaker 1: given the bear preemptive because you know the bear isn't 274 00:17:34,920 --> 00:17:37,000 Speaker 1: just going to show up for a follow up appointment 275 00:17:37,080 --> 00:17:40,480 Speaker 1: if it gets sick. The penicillan is thick and I 276 00:17:40,480 --> 00:17:43,919 Speaker 1: guess kind of cold. According to the bear team, the 277 00:17:43,960 --> 00:17:46,760 Speaker 1: bear can field the shot, so it must be given 278 00:17:46,800 --> 00:17:50,800 Speaker 1: really slowly. And this again is happening at the end 279 00:17:50,840 --> 00:17:53,679 Speaker 1: of the process, which really only takes about half an 280 00:17:53,680 --> 00:17:57,280 Speaker 1: hour once you actually start working on the bear. So 281 00:17:57,520 --> 00:18:00,520 Speaker 1: you're getting close to the time that the air starting 282 00:18:00,560 --> 00:18:04,280 Speaker 1: to come back to its senses as this dissociative anesthetic 283 00:18:04,400 --> 00:18:07,639 Speaker 1: is wearing off, both bears kind of started having a 284 00:18:07,640 --> 00:18:10,920 Speaker 1: little bit of head movement and making some noises, and 285 00:18:11,080 --> 00:18:14,320 Speaker 1: you can feel them kind of making these minute movements 286 00:18:14,359 --> 00:18:18,360 Speaker 1: of limbering back up. So anyway, I was in charge 287 00:18:18,680 --> 00:18:23,520 Speaker 1: of administering the hind quarter penicillan shots, you know, because 288 00:18:23,560 --> 00:18:25,920 Speaker 1: I guess I was already stuck way in the back 289 00:18:25,960 --> 00:18:28,680 Speaker 1: of the trap with the grizzly bear between me and 290 00:18:29,080 --> 00:18:32,320 Speaker 1: the wide open world. And let's just say, you really 291 00:18:32,359 --> 00:18:36,840 Speaker 1: start to listen and take notice of any movements or 292 00:18:36,960 --> 00:18:42,280 Speaker 1: sounds your patients makes at that point, and as you 293 00:18:42,320 --> 00:18:47,480 Speaker 1: try to slowly administer that shot of penicillan, you really 294 00:18:47,920 --> 00:18:52,320 Speaker 1: come up with some fanciful consequences of administering that shot 295 00:18:52,400 --> 00:18:55,640 Speaker 1: too fast. If you could possibly just wake that bear 296 00:18:55,760 --> 00:18:59,000 Speaker 1: up by doing it so uh, you know, obviously I'm 297 00:18:59,040 --> 00:19:03,200 Speaker 1: here quite the weak, friends and neighbors. These bears are 298 00:19:03,320 --> 00:19:08,040 Speaker 1: incredibly cool. The first one we trapped was fifteen years old. 299 00:19:08,480 --> 00:19:11,679 Speaker 1: That bear had been trapped before at three years of age, 300 00:19:12,000 --> 00:19:14,320 Speaker 1: which means, you know, it took him twelve years to 301 00:19:14,359 --> 00:19:18,719 Speaker 1: forget the ruse. He'd never been in any human trouble, 302 00:19:19,040 --> 00:19:22,840 Speaker 1: and he weighed five hundred and thirty nine pounds. Before 303 00:19:22,920 --> 00:19:26,880 Speaker 1: that boar grizz goes into hiberd nation, he could be 304 00:19:26,960 --> 00:19:31,560 Speaker 1: within spitting distance of seven hundred pounds. The second bore 305 00:19:31,680 --> 00:19:36,080 Speaker 1: we trapped was twenty two years old, which was amazing. 306 00:19:36,560 --> 00:19:40,160 Speaker 1: He was much skinnier than the younger bear. You could 307 00:19:40,240 --> 00:19:43,960 Speaker 1: feel this bear's hips distinctly through his hide, and he 308 00:19:44,119 --> 00:19:48,600 Speaker 1: weighed three hundred and seventy nine pounds. This bear had 309 00:19:48,640 --> 00:19:53,640 Speaker 1: also never been in any human trouble. Another difference between 310 00:19:53,680 --> 00:19:57,320 Speaker 1: these two is the bigger younger bear had much shorter 311 00:19:57,400 --> 00:20:00,920 Speaker 1: claws than the old timer. The old is had those 312 00:20:01,000 --> 00:20:06,119 Speaker 1: kind of cinematic long, white sharp claws. The younger bears 313 00:20:06,160 --> 00:20:08,960 Speaker 1: were much more worn, making me really want to know 314 00:20:09,200 --> 00:20:11,720 Speaker 1: the difference and feed, Like, what was the old bear 315 00:20:11,800 --> 00:20:16,399 Speaker 1: specializing in that kept his claws so pretty? According to 316 00:20:16,640 --> 00:20:20,560 Speaker 1: Jeremy the bear biologists, the bears that frequent the Idaho 317 00:20:20,720 --> 00:20:25,440 Speaker 1: side have a diet that consists of animal protein, which 318 00:20:25,440 --> 00:20:29,119 Speaker 1: seemed high to me. You know that includes insects, lots 319 00:20:29,119 --> 00:20:32,280 Speaker 1: of log rolling and rock tipping for these bears. The 320 00:20:32,320 --> 00:20:34,640 Speaker 1: other thing that I really want to impress upon you, 321 00:20:34,880 --> 00:20:37,840 Speaker 1: other than the fact that I was greatly impressed by 322 00:20:37,880 --> 00:20:42,400 Speaker 1: this whole situation and really like the care of the bears. 323 00:20:42,920 --> 00:20:46,520 Speaker 1: There's a lot of like personal human safety thinking involved 324 00:20:46,520 --> 00:20:49,320 Speaker 1: here too. But when we lifted those bears in the 325 00:20:49,359 --> 00:20:52,720 Speaker 1: stretcher to hook the stretcher up to a hanging scale, 326 00:20:53,200 --> 00:20:56,960 Speaker 1: it was very called out, like very practiced, and you 327 00:20:57,080 --> 00:20:59,919 Speaker 1: did not scrape that bear on the ground despite being 328 00:21:00,000 --> 00:21:03,800 Speaker 1: in five thirty nine pounds and a super super tough critter. 329 00:21:04,359 --> 00:21:08,720 Speaker 1: That was impressive too. But another thing was the proximity 330 00:21:08,760 --> 00:21:12,600 Speaker 1: of both of these bears to plenty of human trouble. 331 00:21:12,960 --> 00:21:17,679 Speaker 1: It's quite amazing. Four and a half million people visited 332 00:21:17,760 --> 00:21:22,040 Speaker 1: Yellowstone National Park last year, four million to Grand Teton 333 00:21:22,200 --> 00:21:25,600 Speaker 1: National Park last year. The Henry's Fork, and the town 334 00:21:25,600 --> 00:21:29,639 Speaker 1: of Island Park, Idaho, is right there. Island Park, of course, 335 00:21:29,800 --> 00:21:32,280 Speaker 1: home the longest main street in the world, just a 336 00:21:32,320 --> 00:21:35,440 Speaker 1: couple of miles away from these bears. The Henry's Fork 337 00:21:35,480 --> 00:21:38,040 Speaker 1: gets a ton of angling traffic. There's a bunch of 338 00:21:38,040 --> 00:21:40,320 Speaker 1: other sites around there. They get a ton of people, 339 00:21:40,680 --> 00:21:42,720 Speaker 1: and you know, you gotta figure a portion of these 340 00:21:42,720 --> 00:21:45,720 Speaker 1: folks never stepped foot in the park. The West Yellowstone 341 00:21:45,760 --> 00:21:50,240 Speaker 1: Park entrance is the busiest park entrance. And then all 342 00:21:50,280 --> 00:21:54,280 Speaker 1: those folks that just lived there, the ranchers and everybody else, 343 00:21:54,359 --> 00:21:56,719 Speaker 1: like in the former recreators. There's a ton of like 344 00:21:56,880 --> 00:21:59,600 Speaker 1: just four wheeling around out there, and you know, all 345 00:21:59,640 --> 00:22:03,359 Speaker 1: the folk hiking peaks and all that normal stuff. And 346 00:22:03,359 --> 00:22:06,080 Speaker 1: then you got to think of, just like all places, 347 00:22:06,440 --> 00:22:11,199 Speaker 1: how much human activity has increased around there. That twenty 348 00:22:11,200 --> 00:22:13,720 Speaker 1: two year old bear and that fifteen year old bear 349 00:22:13,960 --> 00:22:16,560 Speaker 1: have been wandering through there. It's a documented they've been 350 00:22:16,560 --> 00:22:20,879 Speaker 1: wandering through those areas for fifteen and twenty two years. 351 00:22:21,320 --> 00:22:25,439 Speaker 1: They've seen some major major changes in human activity. And 352 00:22:25,480 --> 00:22:29,240 Speaker 1: despite all of that, neither of these big, old nasty 353 00:22:29,320 --> 00:22:33,480 Speaker 1: boars had so much as an upended trash can track 354 00:22:33,600 --> 00:22:37,480 Speaker 1: back to them. We also found quite near the last 355 00:22:37,520 --> 00:22:41,960 Speaker 1: bait site a really good load of bleats. Uh puccini 356 00:22:42,200 --> 00:22:45,240 Speaker 1: mushroom is a bleat. We've fried those up and ate 357 00:22:45,320 --> 00:22:48,159 Speaker 1: them very good. I met up with my good buddy 358 00:22:48,200 --> 00:22:51,399 Speaker 1: George White, a world cast anglers, and fished the south 359 00:22:51,480 --> 00:22:54,280 Speaker 1: fork of the snake. Caught a bunch of fish throwing 360 00:22:54,320 --> 00:22:57,480 Speaker 1: the fly rod, kept a rainbow and a cut bow, 361 00:22:57,560 --> 00:22:59,840 Speaker 1: which is a hybrid between a rainbow and a cut 362 00:22:59,840 --> 00:23:03,119 Speaker 1: through oroat trout, in that case, the Yellowstone cutthroat trout. 363 00:23:03,600 --> 00:23:06,120 Speaker 1: We loped their heads off and put them in the 364 00:23:06,160 --> 00:23:09,080 Speaker 1: Fishing Game freezers at the boat launch along with my 365 00:23:09,160 --> 00:23:12,160 Speaker 1: information to have a chance at winning checks ranging from 366 00:23:12,200 --> 00:23:15,399 Speaker 1: fifty to a thousand dollars, which is a program Idaho 367 00:23:15,480 --> 00:23:20,000 Speaker 1: Fishing Game is instituted to try to get angler involvement 368 00:23:20,119 --> 00:23:22,840 Speaker 1: and pulling rainbows out of the system so the native 369 00:23:22,880 --> 00:23:26,560 Speaker 1: cutthroat trout could come back. I even went out and 370 00:23:26,680 --> 00:23:30,880 Speaker 1: electro fished. That was the non traditional type of fishing, 371 00:23:31,240 --> 00:23:34,280 Speaker 1: but highly highly effective way of fishing. I alluded to 372 00:23:34,359 --> 00:23:39,560 Speaker 1: earlier and asked the regional Fisheries director, who is by 373 00:23:39,600 --> 00:23:43,560 Speaker 1: the way, an actual Idahoan, Brett high A bunch of 374 00:23:43,680 --> 00:23:46,159 Speaker 1: questions as to why in the heck you have to 375 00:23:46,200 --> 00:23:50,320 Speaker 1: incentivize people who call themselves anglers by shelling out big 376 00:23:50,359 --> 00:23:53,800 Speaker 1: money just to keep fish again. You will be able 377 00:23:53,840 --> 00:23:57,120 Speaker 1: to see all of this plus a bunch of stuff. 378 00:23:57,000 --> 00:23:58,560 Speaker 1: If I told you right now, you think I was 379 00:23:58,600 --> 00:24:01,840 Speaker 1: making it up on a few true episode of the 380 00:24:01,920 --> 00:24:06,800 Speaker 1: Cow's Weekend Reviewed Field Reports YouTube series, So you know, 381 00:24:07,160 --> 00:24:09,280 Speaker 1: be looking for that here in a couple of months. 382 00:24:09,960 --> 00:24:15,679 Speaker 1: Moving on, in what is possibly the most earth shattering 383 00:24:15,800 --> 00:24:21,440 Speaker 1: scientific discovery of our lifetimes, scientists have recently discovered that 384 00:24:21,560 --> 00:24:26,120 Speaker 1: one human year is not necessarily the equivalent to seven 385 00:24:26,200 --> 00:24:30,680 Speaker 1: dog years. Now, as a kid, we all knew for 386 00:24:30,760 --> 00:24:36,280 Speaker 1: a fact that Santa the tooth Fairy existed seven dog 387 00:24:36,400 --> 00:24:40,679 Speaker 1: years to one human year. Was a fact. The last 388 00:24:40,840 --> 00:24:46,160 Speaker 1: bit of childhood knowledge. Childhood certainty has left the building. 389 00:24:46,880 --> 00:24:50,520 Speaker 1: Elvis is dead, by the way. In a comparative study 390 00:24:50,680 --> 00:24:54,119 Speaker 1: performed at the University of California, San Diego School of 391 00:24:54,160 --> 00:24:58,679 Speaker 1: Medicine and published in the journal Cell Systems, researchers found 392 00:24:58,880 --> 00:25:02,119 Speaker 1: that at only one year of age, a dog maybe 393 00:25:02,280 --> 00:25:05,960 Speaker 1: comparable to a human at the age of thirty, Think 394 00:25:06,040 --> 00:25:08,560 Speaker 1: on that the next time that cute little ball of 395 00:25:08,640 --> 00:25:11,800 Speaker 1: fir stares up at you after attempting to copulate with 396 00:25:11,840 --> 00:25:15,399 Speaker 1: the couch cushion. Jokes aside, you know a dog is 397 00:25:15,440 --> 00:25:18,560 Speaker 1: just a dog. Don't start second guessing the intentions of 398 00:25:18,600 --> 00:25:22,240 Speaker 1: your canine. As per usual, they just want food. They 399 00:25:22,240 --> 00:25:25,360 Speaker 1: aren't after a higher meaning, you know, like a fifteen 400 00:25:25,440 --> 00:25:29,119 Speaker 1: year old human. This study looked at the accumulation of 401 00:25:29,200 --> 00:25:32,240 Speaker 1: methyl groups, which are a cluster of molecules in different 402 00:25:32,280 --> 00:25:35,680 Speaker 1: parts of the human genome as we age. They then 403 00:25:35,800 --> 00:25:40,560 Speaker 1: search for corresponding accumulation of methyl groups in the dog genome. 404 00:25:41,280 --> 00:25:45,960 Speaker 1: Then they looked for certain aging milestones, for instance the 405 00:25:46,000 --> 00:25:49,440 Speaker 1: emergence of teeth, and they looked to see when these 406 00:25:49,480 --> 00:25:54,159 Speaker 1: methyl groups matched up. What they found by analyzing the 407 00:25:54,200 --> 00:25:57,800 Speaker 1: genomes of a test group of one hundred Labrador retrievers 408 00:25:58,040 --> 00:26:05,240 Speaker 1: was that they were all boys and girls, and that 409 00:26:05,480 --> 00:26:09,000 Speaker 1: the methyl groups collected much more rapidly at the early 410 00:26:09,119 --> 00:26:13,040 Speaker 1: stages of life, then tapered off toward the end, meaning 411 00:26:13,080 --> 00:26:15,480 Speaker 1: that a one year old lab would be the human 412 00:26:15,600 --> 00:26:20,359 Speaker 1: age equivalent of thirty, which is shocking, But a twelve 413 00:26:20,480 --> 00:26:24,720 Speaker 1: year old Labrador retriever is only the equivalent of seventy 414 00:26:24,800 --> 00:26:27,399 Speaker 1: human years. For some reason. This kind of makes me 415 00:26:27,440 --> 00:26:30,440 Speaker 1: think of an uncle of mine who also goes by Cal, 416 00:26:30,840 --> 00:26:33,760 Speaker 1: who once told me I'm here for a fast sixty, 417 00:26:33,840 --> 00:26:37,440 Speaker 1: not a slow eighty, which is kind of fitting. Now 418 00:26:37,480 --> 00:26:39,639 Speaker 1: you may be thinking, why the heck did these folks 419 00:26:39,680 --> 00:26:42,800 Speaker 1: waste their time with studies like this? Dogs are dogs? 420 00:26:43,359 --> 00:26:47,040 Speaker 1: Well think about this one. If the study proves out 421 00:26:47,200 --> 00:26:50,119 Speaker 1: and we can match up animal age to human age, 422 00:26:50,400 --> 00:26:56,040 Speaker 1: along with the corresponding milestones of age like adolescence, puberty, 423 00:26:56,680 --> 00:27:00,399 Speaker 1: that angsty age where they get to tattoo when they 424 00:27:00,400 --> 00:27:04,280 Speaker 1: start packing around a guitar, midlife crisis, age of like 425 00:27:04,320 --> 00:27:06,800 Speaker 1: buying sports cars when you live in Montana and they 426 00:27:06,800 --> 00:27:11,000 Speaker 1: serve no practical purpose, or like arthritis, or you know 427 00:27:11,080 --> 00:27:14,639 Speaker 1: all those other age related type milestones. We would have 428 00:27:14,720 --> 00:27:20,160 Speaker 1: a better chance of doctoring, training, and understanding our animal companions, 429 00:27:20,600 --> 00:27:23,720 Speaker 1: or maybe even developing a better understanding of the wise 430 00:27:23,960 --> 00:27:28,000 Speaker 1: of animal movement. That's all I've got for you this week. 431 00:27:28,280 --> 00:27:30,720 Speaker 1: Thank you so much for listening. If you want to 432 00:27:30,760 --> 00:27:33,080 Speaker 1: send me straight or tell me what's happening in your 433 00:27:33,160 --> 00:27:36,359 Speaker 1: neck of the woods, shoot me an email into a 434 00:27:36,840 --> 00:27:40,800 Speaker 1: s k C a L. That's asked Cal at the 435 00:27:40,880 --> 00:27:43,680 Speaker 1: meat eater dot com. If you want to show your 436 00:27:43,680 --> 00:27:46,440 Speaker 1: friends and neighbors how much you know about a lot 437 00:27:46,440 --> 00:27:49,480 Speaker 1: of stuff, pick up a cow's Week interview hat or 438 00:27:49,560 --> 00:27:53,720 Speaker 1: nifty pocket tea only at the meat eater dot com. 439 00:27:53,840 --> 00:28:02,359 Speaker 1: I'll talk to you next week. Its Atom of the 440 00:28:02,680 --> 00:28:03,960 Speaker 1: man as Co