1 00:00:08,119 --> 00:00:12,119 Speaker 1: Welcome to Creature Feature production of iHeartRadio. I'm your host 2 00:00:12,160 --> 00:00:16,480 Speaker 1: of Many Parasites, Katie Golden. I studied psychology and evolutionary biology, 3 00:00:16,480 --> 00:00:19,400 Speaker 1: and today on the show, it's a listener questions episode. 4 00:00:20,000 --> 00:00:24,040 Speaker 1: You send me your questions to Creature Feature Product gmail 5 00:00:24,079 --> 00:00:27,880 Speaker 1: dot com and I answer them from questions about pets 6 00:00:28,000 --> 00:00:32,600 Speaker 1: to evolutionary biology to random animal questions. I do my best, 7 00:00:33,600 --> 00:00:39,280 Speaker 1: so let's get right into it. First question is from 8 00:00:39,560 --> 00:00:42,600 Speaker 1: Will h who sent me a TikTok video and asked 9 00:00:42,760 --> 00:00:47,320 Speaker 1: is this real or AI slot? So thank you for this, 10 00:00:47,520 --> 00:00:51,360 Speaker 1: Will and anyone else out there. If you see something 11 00:00:51,400 --> 00:00:57,640 Speaker 1: online about an animal that looks weird or too good 12 00:00:57,680 --> 00:01:00,640 Speaker 1: to be true or too strange to be true, or 13 00:01:00,680 --> 00:01:03,200 Speaker 1: you're trying to tell the difference between something that's fake 14 00:01:03,720 --> 00:01:07,080 Speaker 1: and real, send me an email and I will try 15 00:01:07,080 --> 00:01:10,080 Speaker 1: to help you out with that. So I really feel you. 16 00:01:10,440 --> 00:01:13,160 Speaker 1: Because there's so much AI slop out there. It is 17 00:01:13,280 --> 00:01:16,160 Speaker 1: getting harder to tell the real animals from the fakes, 18 00:01:16,280 --> 00:01:22,080 Speaker 1: which isn't great. But fortunately the video that Will scent 19 00:01:22,600 --> 00:01:26,520 Speaker 1: is very real. It depicts this bird that certainly looks 20 00:01:26,640 --> 00:01:30,280 Speaker 1: like a Jim Henson muppet. It does not look real. 21 00:01:30,880 --> 00:01:34,920 Speaker 1: So this is a species of po to bird. These 22 00:01:35,080 --> 00:01:39,360 Speaker 1: birds have huge, gaping mouths, they have giant eyes. They're 23 00:01:39,360 --> 00:01:43,240 Speaker 1: mostly nocturnal. They look like owls sort of, although they 24 00:01:43,240 --> 00:01:48,600 Speaker 1: are not owls. They have these beautiful camouflage feather that 25 00:01:48,680 --> 00:01:52,480 Speaker 1: looks like tree bark, which allows them to perch on 26 00:01:52,640 --> 00:01:56,040 Speaker 1: stumps to blend in. They'll even lift their little heads 27 00:01:56,120 --> 00:01:59,160 Speaker 1: up at an angle so that their sharp profile looks 28 00:01:59,240 --> 00:02:02,600 Speaker 1: like a split piece of wood jutting out from the stump. 29 00:02:03,240 --> 00:02:06,720 Speaker 1: And they will lay their eggs on these stumps, which 30 00:02:06,840 --> 00:02:10,080 Speaker 1: kind of sounds stupid, except that they carefully select a 31 00:02:10,120 --> 00:02:12,360 Speaker 1: stump that has a cranny or a nook that they 32 00:02:12,360 --> 00:02:15,400 Speaker 1: can wedge in the egg and when they're incubating the 33 00:02:15,520 --> 00:02:19,600 Speaker 1: egg and using this amazing camouflage that makes them look 34 00:02:19,639 --> 00:02:21,640 Speaker 1: like they're part of the you know, like when you 35 00:02:21,680 --> 00:02:27,000 Speaker 1: see some wood and a tree's fallen or snapped in half, 36 00:02:27,000 --> 00:02:30,160 Speaker 1: and the wood's uneven and there's like parts of the 37 00:02:30,200 --> 00:02:32,760 Speaker 1: bark that kind of are jutting up. The po two 38 00:02:33,160 --> 00:02:36,840 Speaker 1: mimics this look by using kind of the angles of 39 00:02:37,040 --> 00:02:39,360 Speaker 1: its body and then its coloration to look like a 40 00:02:39,360 --> 00:02:42,639 Speaker 1: piece of bark. It's very convincing and so when it's 41 00:02:42,680 --> 00:02:46,000 Speaker 1: incubating the egg, the egg's completely hidden from sight. I 42 00:02:46,000 --> 00:02:48,120 Speaker 1: think I've also read that the egg can kind of 43 00:02:48,120 --> 00:02:51,680 Speaker 1: look a bit like maybe some fungus on the on 44 00:02:51,760 --> 00:02:55,640 Speaker 1: the bark, so that might help it, like say, if 45 00:02:55,639 --> 00:02:58,840 Speaker 1: a parent is not sitting on it. So in the 46 00:02:58,919 --> 00:03:01,160 Speaker 1: video that will sit and it looks like. This is 47 00:03:01,280 --> 00:03:05,639 Speaker 1: a great po two which is found in South America, 48 00:03:06,600 --> 00:03:09,720 Speaker 1: and they have this really creepy call, which I'm going 49 00:03:09,760 --> 00:03:19,560 Speaker 1: to play for you right now. Ah. So that's a 50 00:03:19,600 --> 00:03:23,840 Speaker 1: call that was recorded in Colombia. Here's another recording that 51 00:03:23,960 --> 00:03:32,200 Speaker 1: was done in Brazil, so you know that would be 52 00:03:32,360 --> 00:03:37,080 Speaker 1: sort of disconcerting to hear at night. And then when 53 00:03:37,120 --> 00:03:39,960 Speaker 1: you look at them, they are also pretty creepy. Their 54 00:03:40,000 --> 00:03:44,320 Speaker 1: iris is dark brown, but when their pupils are expanded, 55 00:03:44,360 --> 00:03:47,680 Speaker 1: it looks like they have these huge, solid black eyes, 56 00:03:48,000 --> 00:03:51,400 Speaker 1: like a doll's eyes. They're about a foot long in 57 00:03:51,480 --> 00:03:54,520 Speaker 1: height with a wingspan of over two feet. They are 58 00:03:54,600 --> 00:03:59,200 Speaker 1: predators and they chase after mainly large flying insects that 59 00:03:59,240 --> 00:04:03,320 Speaker 1: they'll find in the rainforest, or even the occasional bat 60 00:04:03,480 --> 00:04:06,440 Speaker 1: or small bird. Whatever flies in the air and can 61 00:04:06,440 --> 00:04:09,520 Speaker 1: fit in their mouths. The po too will try to eat. 62 00:04:10,040 --> 00:04:12,320 Speaker 1: It's kind of terrifying to think of if you were 63 00:04:12,360 --> 00:04:15,120 Speaker 1: that size, like if you're a little fairy. There's this 64 00:04:15,200 --> 00:04:18,400 Speaker 1: thing that perfectly blends in with a stump, just looks 65 00:04:18,440 --> 00:04:21,040 Speaker 1: like a piece of wood, and then it sits there 66 00:04:21,120 --> 00:04:23,840 Speaker 1: until you fly by, and then jumps out at you 67 00:04:23,880 --> 00:04:28,159 Speaker 1: with this giant, gaping, muppet like mouth and just eat 68 00:04:28,240 --> 00:04:32,640 Speaker 1: your right up. So I would think, given that this 69 00:04:32,760 --> 00:04:36,600 Speaker 1: bird is so strange looking and has such a kind 70 00:04:36,640 --> 00:04:40,280 Speaker 1: of creepy call, that it would have a few sort 71 00:04:40,320 --> 00:04:44,720 Speaker 1: of like myths about it cultural stories about it, and 72 00:04:44,960 --> 00:04:47,960 Speaker 1: I did find some. So one is that parts of 73 00:04:48,000 --> 00:04:52,520 Speaker 1: its body are sometimes uses charms to ward off seduction, 74 00:04:52,720 --> 00:04:54,720 Speaker 1: which I guess, you know, if we listen to that 75 00:04:54,800 --> 00:04:59,360 Speaker 1: call again, Yeah, I can kind of see how that 76 00:04:59,440 --> 00:05:03,240 Speaker 1: would be considered a ward against seduction. It's not a 77 00:05:03,320 --> 00:05:08,839 Speaker 1: very seductive call. But there's also apparently a story told 78 00:05:08,920 --> 00:05:13,240 Speaker 1: by the Shuar group a it's a group of indigenous 79 00:05:13,240 --> 00:05:18,599 Speaker 1: people of the Ecuadorian Amazon. Now, I unfortunately struggle to 80 00:05:18,720 --> 00:05:22,280 Speaker 1: verify whether this is actual folklore. I could only find 81 00:05:22,279 --> 00:05:27,560 Speaker 1: references to this on sort of the Park National Forest 82 00:05:27,720 --> 00:05:33,600 Speaker 1: Lodge websites, So I apologize if this is not culturally accurate, 83 00:05:33,760 --> 00:05:36,919 Speaker 1: but this is what I read. In the story. A 84 00:05:37,080 --> 00:05:40,960 Speaker 1: husband tries to get space from his wife by climbing 85 00:05:41,000 --> 00:05:44,000 Speaker 1: up a vine, and then she follows after him, and 86 00:05:44,320 --> 00:05:47,279 Speaker 1: he is frustrated with her following him, so he cuts 87 00:05:47,320 --> 00:05:50,880 Speaker 1: the vine, which causes her to fall, and she's so 88 00:05:51,080 --> 00:05:54,760 Speaker 1: hurt by his actions that she turns herself into a 89 00:05:54,800 --> 00:05:58,000 Speaker 1: bird the po two and starts to cry out in 90 00:05:58,040 --> 00:06:03,760 Speaker 1: the night, my husband husband or I shearu, I shearu. 91 00:06:04,320 --> 00:06:09,680 Speaker 1: I'm not sure if this is the actual story, but 92 00:06:10,120 --> 00:06:13,200 Speaker 1: it's thought that this, like the call, is this mournful 93 00:06:13,279 --> 00:06:16,839 Speaker 1: cry of this wife who was spurned by her husband. 94 00:06:17,880 --> 00:06:21,520 Speaker 1: So yeah, I mean, it's a It's a fascinating looking bird. 95 00:06:21,600 --> 00:06:24,039 Speaker 1: It is very real though, and it does look like 96 00:06:24,160 --> 00:06:28,400 Speaker 1: something out of some strange fairy tale, a weird puppet 97 00:06:28,560 --> 00:06:32,880 Speaker 1: or maybe AI, but it is absolutely real. Just a 98 00:06:33,360 --> 00:06:37,920 Speaker 1: sort of a tip with identifying AI animals, you kind 99 00:06:37,920 --> 00:06:43,160 Speaker 1: of want to look for a lot of like weird smoothness, 100 00:06:43,400 --> 00:06:46,799 Speaker 1: the lighting being like really perfect for a strange animal 101 00:06:46,880 --> 00:06:51,280 Speaker 1: you've never seen before. Sometimes those are giveaways, right, because 102 00:06:51,279 --> 00:06:54,800 Speaker 1: if there's a newly discovered animal, it's unlikely that it's 103 00:06:54,839 --> 00:06:58,000 Speaker 1: going to be in perfect studio lighting. But you know, 104 00:06:58,120 --> 00:07:01,080 Speaker 1: on occasion there are animals that are well documented to 105 00:07:01,120 --> 00:07:04,120 Speaker 1: have really good photos taken of them that are absolutely bizarre. 106 00:07:04,240 --> 00:07:06,880 Speaker 1: So yeah, it's getting harder and harder to tell. So 107 00:07:07,080 --> 00:07:09,760 Speaker 1: go ahead, and if you have any questions about things 108 00:07:09,760 --> 00:07:11,400 Speaker 1: that you're not sure whether it's true or not, I'll 109 00:07:11,440 --> 00:07:16,440 Speaker 1: try to look into that. Next listener question, Hi, Katie, 110 00:07:16,600 --> 00:07:18,560 Speaker 1: I'm not sure if you ever want to discuss this 111 00:07:18,680 --> 00:07:21,320 Speaker 1: issue on the show, because it's very dark and controversial. 112 00:07:21,480 --> 00:07:24,560 Speaker 1: I was wondering if you had any great academic resources 113 00:07:24,600 --> 00:07:27,280 Speaker 1: or studies on the topic, though too many I've found 114 00:07:27,280 --> 00:07:31,480 Speaker 1: have an agenda. I volunteer at an open intake municipal 115 00:07:31,600 --> 00:07:36,800 Speaker 1: kill shelter with the dogs. The city requires SPAE and neuter, 116 00:07:36,880 --> 00:07:41,200 Speaker 1: but it is a secondary charge, not animal control. Walking 117 00:07:41,240 --> 00:07:44,040 Speaker 1: around checking to see I am in the South. She 118 00:07:44,120 --> 00:07:48,080 Speaker 1: means the Southern United States. How has the North conquered 119 00:07:48,080 --> 00:07:50,480 Speaker 1: this problem? We have a partner shelter that takes at 120 00:07:50,560 --> 00:07:53,080 Speaker 1: least one hundred dogs from US a year and they 121 00:07:53,120 --> 00:07:56,880 Speaker 1: get adopted anyway. What are the reasons that SPAE and 122 00:07:56,920 --> 00:07:59,720 Speaker 1: neuter campaigns never took hold down here in the South? 123 00:08:00,160 --> 00:08:03,160 Speaker 1: I read we have more strays because we have milder winters. 124 00:08:03,240 --> 00:08:06,320 Speaker 1: I know animal cruelty and hoarding exist outside this region. 125 00:08:07,000 --> 00:08:10,520 Speaker 1: Attached are some shelter pups. Thank you, Caitlin. Hi, Caitlin. 126 00:08:10,600 --> 00:08:13,280 Speaker 1: First of all, all the doggie is so cute, so cute. 127 00:08:13,280 --> 00:08:17,080 Speaker 1: I hope they get adopted. I understand how challenging it 128 00:08:17,160 --> 00:08:20,120 Speaker 1: must be to work at a shelter knowing that not 129 00:08:20,160 --> 00:08:23,400 Speaker 1: all your animals will find homes, and in order to 130 00:08:23,640 --> 00:08:27,000 Speaker 1: be humane, some of these animals have to be put down. 131 00:08:27,640 --> 00:08:31,480 Speaker 1: And I know there is this stigma against kill shelters. 132 00:08:31,520 --> 00:08:35,400 Speaker 1: I mean, the name itself sounds very violent. It's important, 133 00:08:35,440 --> 00:08:38,320 Speaker 1: I think, for people to recognize that shelter workers never 134 00:08:38,440 --> 00:08:41,000 Speaker 1: want to have to put animals down. They're not doing this, 135 00:08:41,640 --> 00:08:45,240 Speaker 1: you know, for any other reason except that there's simply 136 00:08:45,280 --> 00:08:50,240 Speaker 1: not infinite resources, infinite amount of space, and so if 137 00:08:50,240 --> 00:08:53,880 Speaker 1: these animals aren't adopted out fast enough, you know, rather 138 00:08:53,920 --> 00:08:58,320 Speaker 1: than letting this animal starved slowly to death and suffer, 139 00:08:58,960 --> 00:09:01,880 Speaker 1: the decision is made to humanely put them down, which 140 00:09:01,920 --> 00:09:05,320 Speaker 1: is very sad. Of course, I don't really like the 141 00:09:05,400 --> 00:09:08,839 Speaker 1: term kill shelter and no kill shelter. It just I 142 00:09:08,880 --> 00:09:11,480 Speaker 1: think it would be more accurate as Caitlin kind of 143 00:09:11,520 --> 00:09:15,760 Speaker 1: phrased it to say open and take shelters, or with 144 00:09:15,800 --> 00:09:17,959 Speaker 1: the no kill shelters. I think a more accurate name 145 00:09:17,960 --> 00:09:22,960 Speaker 1: would be limited admission private shelters, because what the no 146 00:09:23,120 --> 00:09:27,520 Speaker 1: kill shelters often do is they'll reject animals coming into 147 00:09:27,559 --> 00:09:31,040 Speaker 1: their shelter that they know will probably not be able 148 00:09:31,120 --> 00:09:33,440 Speaker 1: to be adopted or if they don't have space, which 149 00:09:33,480 --> 00:09:35,760 Speaker 1: is of course in their right. I'm not saying that 150 00:09:36,400 --> 00:09:40,280 Speaker 1: these limited admission private shelters shouldn't exist. I think they 151 00:09:40,360 --> 00:09:44,960 Speaker 1: can do good work. But these animals that get rejected 152 00:09:45,000 --> 00:09:48,360 Speaker 1: from the limited admission shelter have to go somewhere, and 153 00:09:48,440 --> 00:09:52,000 Speaker 1: often that is like a municipal shelter also known as 154 00:09:52,040 --> 00:09:55,040 Speaker 1: like a kill shelter, because they take in all of 155 00:09:55,040 --> 00:09:59,200 Speaker 1: the animals that come in off the streets and because 156 00:09:59,240 --> 00:10:03,280 Speaker 1: they don't again and have unlimited resources, infinite amount of space, 157 00:10:03,679 --> 00:10:07,600 Speaker 1: and they can't adopt them all out. Rather than keeping 158 00:10:07,640 --> 00:10:11,600 Speaker 1: these animals in like confined conditions where they're all in 159 00:10:11,679 --> 00:10:14,400 Speaker 1: tiny cages where they can't move around or they don't 160 00:10:14,400 --> 00:10:19,320 Speaker 1: have enough food, they are they're euthanized, which is which 161 00:10:19,320 --> 00:10:21,679 Speaker 1: is really sad, I think, but it's not it's not 162 00:10:21,720 --> 00:10:25,640 Speaker 1: done out of cruelty, it's done out of compassion for 163 00:10:25,720 --> 00:10:33,440 Speaker 1: these animals. So onto the issue of how to different 164 00:10:33,559 --> 00:10:39,040 Speaker 1: shelters manage to when we're talking about like municipal shelters, 165 00:10:39,040 --> 00:10:42,360 Speaker 1: like why do have some have lower rates of euthanasia 166 00:10:42,400 --> 00:10:47,080 Speaker 1: than others? And it's usually resources issue and the number 167 00:10:47,120 --> 00:10:49,920 Speaker 1: of strays, And of course the best way to reduce 168 00:10:49,960 --> 00:10:53,560 Speaker 1: the need for euthanasia and shelters is spaying and neutering programs. 169 00:10:53,559 --> 00:10:57,640 Speaker 1: As our listener pointed out, so you know animals that 170 00:10:57,679 --> 00:11:02,199 Speaker 1: are both strays and those with home being sterilized. Preventing 171 00:11:02,280 --> 00:11:08,240 Speaker 1: an overflow of animals like so spain and neutering programs 172 00:11:08,280 --> 00:11:11,199 Speaker 1: as well as the habits of owners fixing their own 173 00:11:11,240 --> 00:11:16,040 Speaker 1: pets will very regionally. Uh. There was a survey that 174 00:11:16,400 --> 00:11:20,280 Speaker 1: looked into this discrepancy. There's a paper by Carrol Glasser 175 00:11:20,400 --> 00:11:24,240 Speaker 1: called Attitudes towards Spay and neuter in the US population 176 00:11:24,559 --> 00:11:29,080 Speaker 1: Urban versus Rural Cat Dog and Demographic Differences, And there's 177 00:11:29,120 --> 00:11:33,720 Speaker 1: some interesting results from this survey which found that there 178 00:11:33,760 --> 00:11:37,319 Speaker 1: wasn't as much of a discrepancy in attitudes between oral 179 00:11:37,360 --> 00:11:42,800 Speaker 1: populations and rural populations as was expected. Set there seems 180 00:11:42,800 --> 00:11:46,600 Speaker 1: to be maybe more of a generational generational difference. So, 181 00:11:46,760 --> 00:11:52,960 Speaker 1: for instance, millennials, surprisingly that's my generation. They're less likely 182 00:11:53,200 --> 00:11:57,600 Speaker 1: than older generations to understand spain and neuter programs like 183 00:11:57,640 --> 00:12:03,280 Speaker 1: what why they're important there, or to understand what the 184 00:12:03,320 --> 00:12:06,840 Speaker 1: process is. They're also more likely to be concerned about 185 00:12:06,840 --> 00:12:10,120 Speaker 1: the health effects on their pets, and they're also less 186 00:12:10,200 --> 00:12:12,760 Speaker 1: likely to see it as morally positive to have it 187 00:12:12,800 --> 00:12:16,280 Speaker 1: done to their pets than older generations. So there seems 188 00:12:16,320 --> 00:12:18,840 Speaker 1: to be sort of this like shift in attitude towards 189 00:12:19,200 --> 00:12:23,520 Speaker 1: spang and neutering to be less favorable. There's also a 190 00:12:23,559 --> 00:12:26,800 Speaker 1: slight gender difference, so women are more likely to find 191 00:12:26,880 --> 00:12:31,000 Speaker 1: spang and neutering to be more moral than men. I 192 00:12:31,040 --> 00:12:33,040 Speaker 1: can't say why. I don't really know why that is, 193 00:12:35,160 --> 00:12:37,360 Speaker 1: but I think it is interesting because the main thing is, 194 00:12:37,400 --> 00:12:40,640 Speaker 1: this survey doesn't really seem to indicate that there's a 195 00:12:41,280 --> 00:12:44,920 Speaker 1: difference between say, an urban setting, or a huge difference 196 00:12:44,920 --> 00:12:47,640 Speaker 1: between an an urban setting and a rural setting in 197 00:12:47,720 --> 00:12:51,400 Speaker 1: terms of attitudes towards spang and neutering. But you know, 198 00:12:51,440 --> 00:12:57,840 Speaker 1: this is one survey, So in terms of answering Caitlin's question, 199 00:12:58,480 --> 00:13:02,560 Speaker 1: I looked into a some other research. So the first 200 00:13:02,559 --> 00:13:06,360 Speaker 1: thing is to confirm that Caitlin's observations reflect a wider 201 00:13:06,440 --> 00:13:10,040 Speaker 1: trend of there being more stray animals in the South 202 00:13:10,200 --> 00:13:12,720 Speaker 1: versus the North, and in fact that does seem to 203 00:13:12,720 --> 00:13:15,160 Speaker 1: be the case. So there was a twenty eighteen review 204 00:13:16,280 --> 00:13:19,360 Speaker 1: called Dog Population and Dog Sheltering Trends in the United 205 00:13:19,360 --> 00:13:23,080 Speaker 1: States of America. This is by Andrew Rowan and Tamara Kartal. 206 00:13:24,720 --> 00:13:27,000 Speaker 1: They are affiliated with the Humane Society, so you could 207 00:13:27,080 --> 00:13:31,120 Speaker 1: argue that they may have some bias, but they did 208 00:13:31,160 --> 00:13:35,240 Speaker 1: observe that quote. While New Hampshire and New Jersey have 209 00:13:35,320 --> 00:13:39,480 Speaker 1: low intake and euthanasian rates and have significantly lower numbers 210 00:13:39,520 --> 00:13:42,880 Speaker 1: of stray dogs, other states, especially in the South, report 211 00:13:42,960 --> 00:13:46,360 Speaker 1: much higher numbers. So this does seem to back up 212 00:13:46,440 --> 00:13:50,360 Speaker 1: Caitlin's personal observations as someone who works in a shelter. 213 00:13:51,240 --> 00:13:55,000 Speaker 1: So also, according to this review, in places like New 214 00:13:55,080 --> 00:14:00,240 Speaker 1: Jersey where they have lower euthanasian numbers, there are eight 215 00:14:00,320 --> 00:14:06,680 Speaker 1: wide low income spay and neuter programs, So the decrease 216 00:14:06,720 --> 00:14:10,520 Speaker 1: in euthanasia seems to be driven by lower levels of 217 00:14:10,840 --> 00:14:14,079 Speaker 1: animal intake to shelter. So what that means is if 218 00:14:14,080 --> 00:14:17,840 Speaker 1: there's less animal intake to shelters. Usually that means there's 219 00:14:18,280 --> 00:14:23,680 Speaker 1: less of a stray population. Uh So that seems to 220 00:14:23,720 --> 00:14:27,400 Speaker 1: be driving the euthanasian numbers down, which would mean there's 221 00:14:27,440 --> 00:14:31,320 Speaker 1: fewer strays in these areas, which might indicate that these 222 00:14:31,680 --> 00:14:36,520 Speaker 1: spay and neuter programs that are funded by the government 223 00:14:36,800 --> 00:14:40,160 Speaker 1: and low income areas for low income families with pets 224 00:14:40,200 --> 00:14:43,680 Speaker 1: for strays does seem to be having an impact on 225 00:14:44,040 --> 00:14:48,720 Speaker 1: the amount of straight dogs in the area, And adoptions 226 00:14:48,720 --> 00:14:51,320 Speaker 1: have also risen slightly, but they just don't account for 227 00:14:51,480 --> 00:14:55,040 Speaker 1: the majority of the decrease in the euthanasia rates. So 228 00:14:55,360 --> 00:14:59,480 Speaker 1: I would say, given that, like you know, these both 229 00:14:59,520 --> 00:15:02,360 Speaker 1: these studies seem to indicate that it's possibly more of 230 00:15:02,400 --> 00:15:07,800 Speaker 1: a policy issue rather than say a cultural difference, I 231 00:15:08,080 --> 00:15:12,040 Speaker 1: would say that the most likely driver for the difference 232 00:15:12,080 --> 00:15:15,120 Speaker 1: between the North and the South is whether there are 233 00:15:15,160 --> 00:15:19,480 Speaker 1: these statewide spaying neutering programs that cover the cost for 234 00:15:19,640 --> 00:15:24,680 Speaker 1: low income families or low income areas. Probably, if we 235 00:15:24,720 --> 00:15:27,840 Speaker 1: want to see if you're animals being euthanized, we would 236 00:15:27,880 --> 00:15:30,640 Speaker 1: have to increase funding for these spaying and neutering programs 237 00:15:30,680 --> 00:15:34,160 Speaker 1: in these states. There might be more I'm not really sure. 238 00:15:34,320 --> 00:15:36,880 Speaker 1: I'd love to hear from people who are more familiar 239 00:15:36,880 --> 00:15:40,760 Speaker 1: with the politics regarding these issues in the South, but 240 00:15:40,920 --> 00:15:43,920 Speaker 1: there might be more political resistance to bills that fund 241 00:15:43,920 --> 00:15:47,720 Speaker 1: these programs. Maybe there might also just be more poverty 242 00:15:48,040 --> 00:15:50,960 Speaker 1: in some of these states, so that would compete with funding. 243 00:15:52,280 --> 00:15:57,400 Speaker 1: So that would be my educated guests, But I am 244 00:15:57,560 --> 00:16:00,520 Speaker 1: definitely not an expert on this topic. I think it's 245 00:16:00,560 --> 00:16:03,440 Speaker 1: really important to talk about though, thank you Caitlin for 246 00:16:03,480 --> 00:16:05,880 Speaker 1: writing in. I think it is a sensitive question, but 247 00:16:06,120 --> 00:16:09,080 Speaker 1: I think that even though it's sad and it's kind 248 00:16:09,120 --> 00:16:13,760 Speaker 1: of difficult to discuss, I think it is really important. Otherwise, 249 00:16:14,080 --> 00:16:16,840 Speaker 1: powerre we ever going to figure out how we can 250 00:16:16,880 --> 00:16:21,880 Speaker 1: get those the shelters less full of dogs that can't 251 00:16:21,920 --> 00:16:24,720 Speaker 1: be adopted, Like we can't just sweep it under the rug. 252 00:16:24,720 --> 00:16:26,880 Speaker 1: And I think it's also really important to note that 253 00:16:27,320 --> 00:16:30,200 Speaker 1: for so called, you know, like kill shelters, like, it's 254 00:16:30,320 --> 00:16:35,120 Speaker 1: absolutely not morally wrong to adopt from these shelters that 255 00:16:35,160 --> 00:16:39,240 Speaker 1: euthanize animals. In fact, by adopting from those shelters, you 256 00:16:39,520 --> 00:16:43,320 Speaker 1: are helping to reduce the number of animals that are 257 00:16:43,360 --> 00:16:46,080 Speaker 1: in the shelters. And then that leaves up more space 258 00:16:46,120 --> 00:16:50,560 Speaker 1: for animals, and that keeps the euthanasia numbers lower as well. 259 00:16:50,800 --> 00:16:57,680 Speaker 1: So please don't just avoid municipal shelters because they use euthanasia, 260 00:16:58,560 --> 00:17:01,520 Speaker 1: because those animals also need to be adopted. And it's 261 00:17:02,080 --> 00:17:07,080 Speaker 1: again like the private shelters that are no kill shelters. 262 00:17:07,480 --> 00:17:11,360 Speaker 1: I'm I don't have a problem with those, but it's 263 00:17:11,600 --> 00:17:14,000 Speaker 1: the animals that they reject, like they don't take in, 264 00:17:14,359 --> 00:17:18,119 Speaker 1: will ultimately end up going to a municipal shelter. So 265 00:17:18,160 --> 00:17:21,280 Speaker 1: it's not really that they you know, I don't know 266 00:17:21,359 --> 00:17:24,080 Speaker 1: that other than the fact that these private shelters may 267 00:17:24,080 --> 00:17:28,280 Speaker 1: increase capacity for their being more shelter space for dogs, 268 00:17:29,160 --> 00:17:34,320 Speaker 1: they're not it's not necessarily that, you know, they are 269 00:17:34,359 --> 00:17:38,919 Speaker 1: just voluntarily not killing dogs. They are just in a 270 00:17:38,960 --> 00:17:42,840 Speaker 1: position where they are able to not take in all 271 00:17:42,880 --> 00:17:45,080 Speaker 1: the dogs off the streets, so they are able to 272 00:17:45,240 --> 00:17:48,919 Speaker 1: not employ euthanasia. So you know, that's that's the situation. 273 00:17:49,880 --> 00:17:51,920 Speaker 1: It's a it's a sad one, but yeah, I think 274 00:17:51,960 --> 00:17:54,679 Speaker 1: it's a it's a really important thing to discuss, and 275 00:17:54,680 --> 00:17:58,040 Speaker 1: I really appreciate you writing in and anyone else who 276 00:17:58,320 --> 00:18:01,040 Speaker 1: is familiar with these issues or works in shelters or 277 00:18:01,080 --> 00:18:03,080 Speaker 1: has an opinion on it. Please feel free to write 278 00:18:03,080 --> 00:18:05,080 Speaker 1: to me. I'd be really happy to hear from you. 279 00:18:06,920 --> 00:18:11,920 Speaker 1: All Right, on to the next listener question. Dear Katie. Today, 280 00:18:12,080 --> 00:18:16,080 Speaker 1: in an orchid house in Estepona, Spain, I learned about 281 00:18:16,119 --> 00:18:20,560 Speaker 1: the parfumier bees U Glossini. I would love to know 282 00:18:20,720 --> 00:18:24,439 Speaker 1: more about them, and about other artisanal wars Bauer birds 283 00:18:24,520 --> 00:18:27,879 Speaker 1: and a few other artisanal courtiers I know a bit about, 284 00:18:27,880 --> 00:18:31,040 Speaker 1: but more is good, So back to Uglossini. According to 285 00:18:31,040 --> 00:18:36,200 Speaker 1: Wikipedia quote, the male Euphresia proparata is highly unusual among 286 00:18:36,240 --> 00:18:40,119 Speaker 1: insects and seeking out and collecting large quantities of insecticide. 287 00:18:40,440 --> 00:18:45,359 Speaker 1: Dressler discovered in nineteen sixty seven e Proparada collecting aldrin 288 00:18:45,760 --> 00:18:49,040 Speaker 1: and Roberts in nineteen eighty two observed them collecting DDT 289 00:18:49,680 --> 00:18:53,560 Speaker 1: in huge amounts from houses in Brazil, amounting to several 290 00:18:53,800 --> 00:18:56,520 Speaker 1: percent of the bees weight without suffering any harm from 291 00:18:56,600 --> 00:19:01,640 Speaker 1: the activity. Exclamation point always a fan. This is from 292 00:19:01,680 --> 00:19:05,719 Speaker 1: mary Ann. Hi, mary Ann, this is a really cool topic. 293 00:19:05,760 --> 00:19:07,920 Speaker 1: Thank you so much for writing to me about it. 294 00:19:09,119 --> 00:19:11,240 Speaker 1: I think as much as it's important for us to 295 00:19:11,520 --> 00:19:15,920 Speaker 1: reduce our the amount of pollutants like pesticides that leach 296 00:19:15,920 --> 00:19:19,440 Speaker 1: out into the environment. I always find it fascinating when 297 00:19:19,480 --> 00:19:22,800 Speaker 1: animals manage to adapt to the nasty stuff that we 298 00:19:22,920 --> 00:19:26,080 Speaker 1: come up with. It's really really interesting. So orchid bees 299 00:19:26,880 --> 00:19:30,439 Speaker 1: uglossini are a group of brilliant jewel like bees. They 300 00:19:30,480 --> 00:19:35,440 Speaker 1: have this beautiful metallic coloration. There are many species, including 301 00:19:35,480 --> 00:19:41,000 Speaker 1: Euphresia preparata, so these are found in the Amazon basin 302 00:19:41,240 --> 00:19:46,439 Speaker 1: in South America. They are this metallic green and indigo bee. 303 00:19:46,800 --> 00:19:50,880 Speaker 1: And as listener Mary Anne pointed out, it is attracted 304 00:19:50,880 --> 00:19:55,919 Speaker 1: to insecticides, including DDT, which is normally really bad news 305 00:19:56,119 --> 00:20:02,560 Speaker 1: for insects and also birds. So orchid bees, the orchid 306 00:20:02,560 --> 00:20:06,480 Speaker 1: bee species in general, collect scent producing compounds from flowers. 307 00:20:06,520 --> 00:20:10,399 Speaker 1: So basically the males create a perfume for themselves to 308 00:20:10,440 --> 00:20:14,240 Speaker 1: attract females, storing them in their leg baskets, so they're 309 00:20:14,440 --> 00:20:16,720 Speaker 1: behind legs like a lot of bee species have these 310 00:20:16,760 --> 00:20:22,359 Speaker 1: little divots in them where they can store pollen among 311 00:20:22,359 --> 00:20:26,560 Speaker 1: these kind of like grooves, and in these bees, the 312 00:20:26,600 --> 00:20:34,920 Speaker 1: males will store basically compounds that create perfume scents and females. 313 00:20:35,440 --> 00:20:38,400 Speaker 1: These these leg baskets that the males have like they 314 00:20:38,440 --> 00:20:43,960 Speaker 1: act as like diffusers sort of incense diffusers, and the 315 00:20:44,200 --> 00:20:47,800 Speaker 1: females prefer males with a good cologne, and they're more 316 00:20:47,920 --> 00:20:51,840 Speaker 1: likely to successfully entice a female to mate with them 317 00:20:51,920 --> 00:20:55,840 Speaker 1: if they have perfume in their little leg baskets. So 318 00:20:56,000 --> 00:21:01,280 Speaker 1: Euphresia proparata seems to find DDT and other types of 319 00:21:01,480 --> 00:21:07,600 Speaker 1: pesticide compounds to have that genesicua poffume that smells good 320 00:21:07,800 --> 00:21:12,160 Speaker 1: to these bees. So it's similar enough to orchid compounds 321 00:21:12,200 --> 00:21:14,800 Speaker 1: that they typically for them to also use that to 322 00:21:14,800 --> 00:21:17,720 Speaker 1: try to attract females. And because the bees only collect 323 00:21:17,720 --> 00:21:22,040 Speaker 1: a specific broken down compound from say DDT or these 324 00:21:22,040 --> 00:21:25,920 Speaker 1: other pesticides, and they also don't consume it, they store 325 00:21:25,920 --> 00:21:29,359 Speaker 1: it in their leg baskets, the compound does not seem 326 00:21:29,359 --> 00:21:31,960 Speaker 1: to harm them physically. Now, what I don't know is 327 00:21:32,000 --> 00:21:35,439 Speaker 1: how successful it is with the ladies, whether they prefer 328 00:21:35,800 --> 00:21:39,720 Speaker 1: actual orchid compounds or this kind of like pesticide knockoff. 329 00:21:39,840 --> 00:21:44,080 Speaker 1: I don't know. I'd be really interested to find that out. So, guys, 330 00:21:44,119 --> 00:21:48,120 Speaker 1: these were fantastic questions. I really love them. They help 331 00:21:48,200 --> 00:21:50,080 Speaker 1: me learn as well, by the way, Like I have 332 00:21:50,160 --> 00:21:52,480 Speaker 1: to do research for these questions to make sure I'm 333 00:21:52,480 --> 00:21:55,520 Speaker 1: giving you the right answer and that helps me on 334 00:21:55,560 --> 00:21:57,920 Speaker 1: my learning journey. I hope I helped you a little 335 00:21:57,920 --> 00:22:01,800 Speaker 1: bit on your learning journey. Do you have any evolutionary 336 00:22:01,800 --> 00:22:05,439 Speaker 1: biology animal related questions photos of your pets? You can 337 00:22:05,480 --> 00:22:11,320 Speaker 1: write to me at Creature Feature pod at gmail dot com. Again, 338 00:22:11,400 --> 00:22:14,600 Speaker 1: thank you so much for these questions, and thanks for 339 00:22:14,640 --> 00:22:18,160 Speaker 1: the space classics where there's super awesome song Exolumina. Creature 340 00:22:18,240 --> 00:22:21,359 Speaker 1: Feature is a production of iHeartRadio. For more podcasts like 341 00:22:21,400 --> 00:22:23,520 Speaker 1: the one you just heard, visit the iHeartRadio app Apple 342 00:22:23,520 --> 00:22:25,480 Speaker 1: podcast or Hey, guess what where have you listen to 343 00:22:25,520 --> 00:22:29,640 Speaker 1: your favorite shows? I can't judge you, just don't go 344 00:22:29,840 --> 00:22:33,320 Speaker 1: spraying DDT on yourself and expecting your date to go well, 345 00:22:33,359 --> 00:22:36,439 Speaker 1: it only works for bees. See you next Wednesday.