1 00:00:06,200 --> 00:00:08,560 Speaker 1: Hey, welcome to Stuff to Blow Your Mind. My name 2 00:00:08,600 --> 00:00:11,080 Speaker 1: is Robert Lamb. It's Saturday. We have a vault episode 3 00:00:11,160 --> 00:00:14,960 Speaker 1: for you. This one originally published six six, twenty twenty five. 4 00:00:15,040 --> 00:00:19,520 Speaker 1: It is the Extreme Maneuverability of Hummingbirds with Rosalind Dakin. 5 00:00:19,720 --> 00:00:23,480 Speaker 1: So this is another interview episode and I really enjoyed 6 00:00:23,480 --> 00:00:26,960 Speaker 1: this one. Hummingbirds are such an important part of my summer, 7 00:00:27,640 --> 00:00:30,120 Speaker 1: getting to look out the window and see these amazing 8 00:00:30,240 --> 00:00:33,760 Speaker 1: organisms darting around and feeding, and so it was a 9 00:00:33,800 --> 00:00:36,680 Speaker 1: real pleasure to get to talk to an actual hummingbird 10 00:00:36,720 --> 00:00:40,280 Speaker 1: researcher about these amazing creatures. Let's jump right in. 11 00:00:44,479 --> 00:00:48,239 Speaker 2: Welcome to Stuff to Blow Your Mind, production of iHeartRadio. 12 00:00:54,280 --> 00:00:57,400 Speaker 1: Hey, welcome to Stuff to Blow your Mind. Robert Lamb. 13 00:00:57,440 --> 00:00:59,760 Speaker 1: Here in today's episode, I'm going to be chatting with 14 00:01:00,000 --> 00:01:04,600 Speaker 1: Oslyn Dakin, Associate professor at Carlton University in Ottawa and 15 00:01:04,680 --> 00:01:08,600 Speaker 1: principal investigator at the Dynamic Behavior Lab. We're going to 16 00:01:08,680 --> 00:01:11,840 Speaker 1: be chatting about hummingbirds, as she and her co authors 17 00:01:12,080 --> 00:01:14,400 Speaker 1: just had a new paper published in the Journal of 18 00:01:14,520 --> 00:01:19,080 Speaker 1: Zoology Turning trade offs. Hummingbird power reserves are used to 19 00:01:19,120 --> 00:01:24,320 Speaker 1: decrease turning radius or increase turning velocity. So without further ado, 20 00:01:24,400 --> 00:01:30,680 Speaker 1: let's jump right into the interview. Hi, Rosalind, Welcome to 21 00:01:30,720 --> 00:01:31,080 Speaker 1: the show. 22 00:01:31,440 --> 00:01:32,440 Speaker 3: Hi, thanks for having me. 23 00:01:32,920 --> 00:01:35,760 Speaker 1: So we're going to be talking about hummingbirds today. We're 24 00:01:35,800 --> 00:01:39,920 Speaker 1: already really enjoying the company of hummingbirds down here in Atlanta. 25 00:01:40,400 --> 00:01:43,560 Speaker 1: Have they arrived up there where you are? You're in Ontario? 26 00:01:43,680 --> 00:01:47,559 Speaker 3: Correct, Yes, exactly, I'm in Ottawa, Ontario. And they arrive 27 00:01:47,720 --> 00:01:49,960 Speaker 3: the first week of May the ruby started. Hummingbirds show 28 00:01:50,040 --> 00:01:52,280 Speaker 3: up almost like clockwork every year. 29 00:01:52,520 --> 00:01:54,960 Speaker 1: It's always a joyous occasion here at my house when 30 00:01:54,960 --> 00:01:57,280 Speaker 1: we finally see the first hummingbirds of the season appear 31 00:01:57,320 --> 00:02:02,000 Speaker 1: at our feeders and flowers. And I think, you know, 32 00:02:02,040 --> 00:02:04,480 Speaker 1: at first it's the magic of them being here, the 33 00:02:04,520 --> 00:02:06,480 Speaker 1: way they move and all. But as you begin to 34 00:02:06,520 --> 00:02:10,000 Speaker 1: observe them, you really begin to notice how intensely territorial 35 00:02:10,080 --> 00:02:13,000 Speaker 1: they are about their flowers or about the cute little 36 00:02:13,000 --> 00:02:16,800 Speaker 1: feeder we've put out for them. Can you tell us, like, 37 00:02:16,840 --> 00:02:20,920 Speaker 1: why are they so territorial about this? As sometimes as 38 00:02:21,000 --> 00:02:23,520 Speaker 1: humans putting out feeders, we want to tell them like no, no, 39 00:02:23,560 --> 00:02:26,240 Speaker 1: there's plenty you can share, and they're generally not having 40 00:02:26,280 --> 00:02:26,680 Speaker 1: any of that. 41 00:02:27,400 --> 00:02:31,560 Speaker 3: Yeah, that's right. They have super competitive behaviors and that's 42 00:02:31,560 --> 00:02:36,080 Speaker 3: something that we've been studying in my lab. Why they're 43 00:02:36,160 --> 00:02:38,880 Speaker 3: like that, I think it all comes down to their 44 00:02:39,160 --> 00:02:44,320 Speaker 3: super high metabolic rates. Their lifestyle relies on having a 45 00:02:44,360 --> 00:02:47,840 Speaker 3: steady stream of calories throughout the day, and if they 46 00:02:47,880 --> 00:02:52,280 Speaker 3: go even an hour without feeding, depending on how much 47 00:02:52,440 --> 00:02:54,079 Speaker 3: energy fest do are they have in their body, that 48 00:02:54,360 --> 00:02:57,839 Speaker 3: can mean death an hour without a meal. So those 49 00:02:57,840 --> 00:03:01,120 Speaker 3: food sources are really really valuable to them, and their 50 00:03:01,160 --> 00:03:04,280 Speaker 3: metabolic rates are so high. If you could scale a 51 00:03:04,360 --> 00:03:08,040 Speaker 3: hummingbird's body up to the size of the average adult human, 52 00:03:08,120 --> 00:03:10,000 Speaker 3: it would be like if you or I had to 53 00:03:10,040 --> 00:03:14,480 Speaker 3: eat one hundred and fifty large pizzas in a day. Wow. 54 00:03:15,040 --> 00:03:17,359 Speaker 1: Now, how can their wings that move so fast to 55 00:03:17,440 --> 00:03:18,320 Speaker 1: repel thems of the air. 56 00:03:18,760 --> 00:03:22,440 Speaker 3: Yeah, So in order to be able to hover, hummingbirds 57 00:03:22,440 --> 00:03:25,760 Speaker 3: have to beat their wings, depending on the species, between 58 00:03:27,320 --> 00:03:31,639 Speaker 3: thirty to eighty times per second. So if you think 59 00:03:31,680 --> 00:03:36,160 Speaker 3: about a full wing stroke, that's your arm being fully 60 00:03:36,160 --> 00:03:39,720 Speaker 3: extended back, coming forward and then back again and repeating 61 00:03:39,760 --> 00:03:44,320 Speaker 3: that cycle. For species like ruby throated hummingbirds fifty times 62 00:03:44,400 --> 00:03:50,000 Speaker 3: every second. It's incredibly fast. So they have, so that's 63 00:03:50,040 --> 00:03:52,400 Speaker 3: why they have such high metabolic rates, the highest of 64 00:03:52,440 --> 00:03:57,160 Speaker 3: any vertebrate animal per unit body mass. But they have 65 00:03:57,200 --> 00:04:00,680 Speaker 3: a lot of anatomical adaptations that are required tired to 66 00:04:00,800 --> 00:04:05,840 Speaker 3: be able to do that. So, for example, they're pectoral 67 00:04:05,920 --> 00:04:11,200 Speaker 3: muscles that draw the wings down that activate the downstroke 68 00:04:11,360 --> 00:04:15,480 Speaker 3: are hyperchase feed. They're really really large. But similarly, they 69 00:04:15,520 --> 00:04:18,680 Speaker 3: have another muscle, the super corecoidous muscle that draws the 70 00:04:18,680 --> 00:04:22,240 Speaker 3: wing back up and it's also hypercha feed. It's also 71 00:04:22,320 --> 00:04:26,440 Speaker 3: extra large. In hummingbirds, they have skeletal adaptations as well, 72 00:04:26,480 --> 00:04:29,279 Speaker 3: so the muscle that the bones that those muscles attached 73 00:04:29,320 --> 00:04:32,280 Speaker 3: to have to be larger and more robust than they 74 00:04:32,279 --> 00:04:36,120 Speaker 3: are in other birds that have more typical wing beat frequencies. 75 00:04:37,120 --> 00:04:42,640 Speaker 3: And they also have dramatically modified anatomy to the bones 76 00:04:42,680 --> 00:04:44,880 Speaker 3: of their wing. These are the bones that we can't see. 77 00:04:44,880 --> 00:04:47,400 Speaker 3: We just see the feathered part of the wing, but 78 00:04:47,560 --> 00:04:51,599 Speaker 3: inside the hummingbird's wing they're humorous, is really really short. 79 00:04:51,640 --> 00:04:54,159 Speaker 3: It's so short, it's almost like a little dot, you know. 80 00:04:54,160 --> 00:04:57,880 Speaker 3: It's just a couple of millimeters in length, and their 81 00:04:58,279 --> 00:05:02,520 Speaker 3: wing is mostly and what that does is it means 82 00:05:02,520 --> 00:05:07,200 Speaker 3: that the heavy parts of their arm bones are drawn 83 00:05:07,240 --> 00:05:09,400 Speaker 3: in close to the body to make it easier to 84 00:05:09,440 --> 00:05:12,039 Speaker 3: beat those wings so fast. But it also means that 85 00:05:12,040 --> 00:05:17,440 Speaker 3: those muscles that are activating those wingstrokes are working over 86 00:05:17,480 --> 00:05:20,400 Speaker 3: a shorter distance, and so that makes it physically possible 87 00:05:20,440 --> 00:05:22,960 Speaker 3: for them to beat their ways at this incredibly high frequency. 88 00:05:23,320 --> 00:05:27,800 Speaker 1: So what evolutionarily has driven this development this arms race 89 00:05:27,839 --> 00:05:30,520 Speaker 1: of hummingbirds. Is it just their diet and how they 90 00:05:30,520 --> 00:05:33,960 Speaker 1: need to feed it, is it predators, is it other hummingbirds? Like, 91 00:05:34,240 --> 00:05:35,280 Speaker 1: how does it all come together? 92 00:05:35,560 --> 00:05:39,560 Speaker 3: Yeah, that's a super interesting question and one that we 93 00:05:39,640 --> 00:05:43,080 Speaker 3: have hypotheses, but it's still an active area of research. 94 00:05:44,600 --> 00:05:47,520 Speaker 3: If we go back, well, let's start with looking at 95 00:05:47,520 --> 00:05:53,400 Speaker 3: what we have today. The hummingbird family is extraordinarily diverse. 96 00:05:53,640 --> 00:05:59,000 Speaker 3: There's three hundred and sixty six different species and they 97 00:05:59,080 --> 00:06:02,840 Speaker 3: live in the America, so South America, Central America, the Caribbean, 98 00:06:03,240 --> 00:06:07,040 Speaker 3: and some species here in North America. That's incredibly diverse, 99 00:06:07,240 --> 00:06:10,520 Speaker 3: and they've radiated, they've diversified into all of these species 100 00:06:10,560 --> 00:06:14,520 Speaker 3: over the past twenty five million years. And if we 101 00:06:14,560 --> 00:06:18,359 Speaker 3: look at their closest relatives in the evolutionary tree, the 102 00:06:18,400 --> 00:06:21,680 Speaker 3: family tree of all birds, those are swifts, which are 103 00:06:21,720 --> 00:06:25,479 Speaker 3: also super agile birds. They're distributed across the globe. We 104 00:06:25,520 --> 00:06:29,360 Speaker 3: have swifts in North America. We also have swifts in 105 00:06:29,400 --> 00:06:36,240 Speaker 3: Europe and Asia that are aerial insectivores. So swifts spent 106 00:06:36,400 --> 00:06:40,279 Speaker 3: almost all of their time in the air catching flying insects, 107 00:06:40,400 --> 00:06:42,640 Speaker 3: so they have to be like little fighter pilots to 108 00:06:42,640 --> 00:06:45,440 Speaker 3: be able to chase down their prey. So the first 109 00:06:45,520 --> 00:06:49,039 Speaker 3: hummingbirds evolved around thirty million years ago from an ancestor 110 00:06:49,080 --> 00:06:52,640 Speaker 3: that was a really really acrobatic predator in the air, 111 00:06:53,480 --> 00:06:56,120 Speaker 3: and swifts have some of the same skeletal adaptations that 112 00:06:56,160 --> 00:06:59,760 Speaker 3: we see in hummingbirds. They have an enlarged keel that's 113 00:06:59,800 --> 00:07:02,039 Speaker 3: the part of the bone on the breastbone where those 114 00:07:02,440 --> 00:07:08,240 Speaker 3: pectoral muscles attach, and swifts also have changes in their 115 00:07:08,240 --> 00:07:10,520 Speaker 3: wing bones that we see in hummingbirds as well. So 116 00:07:10,560 --> 00:07:13,960 Speaker 3: that's part of how we know where the hummingbirds fit 117 00:07:14,000 --> 00:07:18,280 Speaker 3: in anatomically, but also genetic studies have established what those 118 00:07:18,320 --> 00:07:22,920 Speaker 3: relationships are. So, yeah, the first hummingbird or something something 119 00:07:23,000 --> 00:07:28,040 Speaker 3: like an insective war chasing down insects and somehow, you know, 120 00:07:28,080 --> 00:07:32,240 Speaker 3: maybe they started to prefer insects that were associated with 121 00:07:32,240 --> 00:07:35,400 Speaker 3: the flowers and maybe that led to them consuming some nectar. 122 00:07:35,480 --> 00:07:38,880 Speaker 3: We don't know exactly what happened to produce this fifth 123 00:07:38,880 --> 00:07:44,000 Speaker 3: towards being so specialized on flower nectar. But the other 124 00:07:44,080 --> 00:07:49,280 Speaker 3: mysterious part is that the earliest ancestor, the earliest fossil 125 00:07:49,280 --> 00:07:52,120 Speaker 3: ancestor we have of hummingbirds is not at all in 126 00:07:52,200 --> 00:07:53,960 Speaker 3: the same part of the world where we have all 127 00:07:54,000 --> 00:07:57,800 Speaker 3: of the species that we can observe today. The closest 128 00:07:57,840 --> 00:08:03,360 Speaker 3: fossil ancestor of hummingbirds they come from Europe, So fossils 129 00:08:03,400 --> 00:08:07,320 Speaker 3: with a lot of those hummingbird typical features, a long bill, 130 00:08:07,720 --> 00:08:12,440 Speaker 3: an exaggerated keel, and different wing proportions. Those have been 131 00:08:12,480 --> 00:08:15,600 Speaker 3: found in Poland and in France and multiple places. So 132 00:08:16,240 --> 00:08:19,760 Speaker 3: they arose in Europe we think, and at some point 133 00:08:19,880 --> 00:08:24,080 Speaker 3: made their way over to the Americas thirty twenty five 134 00:08:24,080 --> 00:08:29,120 Speaker 3: million years ago and from there diversified into very many 135 00:08:29,160 --> 00:08:32,240 Speaker 3: species day and a lot of that is the diversification 136 00:08:32,360 --> 00:08:37,440 Speaker 3: is probably due to specializing into different areas in the 137 00:08:37,480 --> 00:08:38,120 Speaker 3: Americas and. 138 00:08:38,120 --> 00:08:43,760 Speaker 1: In the Caribbean, so they're enhanced maneuverability in their power reserves, 139 00:08:43,760 --> 00:08:45,680 Speaker 1: which we're going to get into when we start talking 140 00:08:45,679 --> 00:08:50,760 Speaker 1: about your study here. This is largely for inter hummingbird 141 00:08:51,559 --> 00:08:54,120 Speaker 1: competition or do they have aerial predators they need to 142 00:08:54,120 --> 00:08:56,120 Speaker 1: worry about as well. 143 00:08:56,320 --> 00:08:59,640 Speaker 3: They may have some effective predators, that's not something that 144 00:08:59,640 --> 00:09:02,040 Speaker 3: we have very often, but we see a lot of 145 00:09:02,120 --> 00:09:09,280 Speaker 3: competition both between species and also within species, so especially 146 00:09:09,280 --> 00:09:12,360 Speaker 3: among males within a species, competing for a territory, competing 147 00:09:12,360 --> 00:09:15,040 Speaker 3: for a food resource. The other area where we see 148 00:09:15,040 --> 00:09:19,080 Speaker 3: them using their acrobatic skills is when they're courting mates. 149 00:09:19,600 --> 00:09:22,760 Speaker 3: So in very many species, the males will try to 150 00:09:22,800 --> 00:09:26,440 Speaker 3: impress females by doing an elaborate display in the air, 151 00:09:26,600 --> 00:09:30,520 Speaker 3: and the way that display goes will differ in different species, 152 00:09:31,679 --> 00:09:35,320 Speaker 3: but often they're zooming back and forth, reaching really high 153 00:09:35,360 --> 00:09:38,920 Speaker 3: speeds and turning quickly as part of that display, all 154 00:09:38,920 --> 00:09:41,640 Speaker 3: at the same time as they show the female their 155 00:09:41,679 --> 00:09:45,439 Speaker 3: colorful plumage and sometimes like make certain sounds while they're 156 00:09:45,480 --> 00:09:46,560 Speaker 3: doing those displays as well. 157 00:09:54,640 --> 00:09:57,079 Speaker 1: So getting into your research a bit more here, tell 158 00:09:57,120 --> 00:10:00,360 Speaker 1: us a little bit about the Dynamic behavior lab and 159 00:10:01,200 --> 00:10:03,959 Speaker 1: how humming birds factor into your work there. 160 00:10:04,160 --> 00:10:08,680 Speaker 3: Yeah, so we are interested in differences between individuals and 161 00:10:08,720 --> 00:10:13,719 Speaker 3: differences between species, and when performance is such an important 162 00:10:13,720 --> 00:10:18,560 Speaker 3: part of how they survive. How is it that, Like, 163 00:10:18,679 --> 00:10:22,600 Speaker 3: what determines which individuals are dominant over which others, who's 164 00:10:22,640 --> 00:10:27,280 Speaker 3: winning those competitions, what traits determine who wins? But also 165 00:10:27,400 --> 00:10:30,280 Speaker 3: for individuals that are subordinate, what options do they have? 166 00:10:30,760 --> 00:10:34,120 Speaker 3: How do the subdominant individuals make a living? Those are 167 00:10:34,120 --> 00:10:36,400 Speaker 3: some of the questions we're studying in my lab. So 168 00:10:36,480 --> 00:10:40,280 Speaker 3: we measure things like they're an individual bird's ability to 169 00:10:40,600 --> 00:10:46,079 Speaker 3: generate power in flight, and we also measure their behavior 170 00:10:46,200 --> 00:10:49,360 Speaker 3: in big arenas where we can pit multiple birds against 171 00:10:49,400 --> 00:10:53,760 Speaker 3: each other competing over a food resource and seeing both 172 00:10:53,800 --> 00:10:56,760 Speaker 3: who's dominant, but also how are they using flight maneuvers 173 00:10:57,160 --> 00:10:58,320 Speaker 3: to outdo each other? 174 00:10:58,520 --> 00:11:00,680 Speaker 1: Now, how do you go about stuff something like this 175 00:11:00,720 --> 00:11:04,440 Speaker 1: because hummingbirds, i imagine, are not easy creatures to study anyway, 176 00:11:04,679 --> 00:11:07,760 Speaker 1: and then you're dealing with some difficult to measure properties here. 177 00:11:07,679 --> 00:11:12,040 Speaker 3: Right, Yeah, it takes a lot of patience. And one 178 00:11:12,080 --> 00:11:15,840 Speaker 3: of the nicest assays that's possible to do with hummingbirds 179 00:11:16,480 --> 00:11:18,679 Speaker 3: is a load lifting assay where we can measure the 180 00:11:18,720 --> 00:11:23,400 Speaker 3: maximum power they're able to generate with their flight apparatus, 181 00:11:23,440 --> 00:11:26,800 Speaker 3: with those muscles that are activating the wings. And we 182 00:11:26,880 --> 00:11:31,440 Speaker 3: do that assay in a chamber that's think of like 183 00:11:31,480 --> 00:11:36,400 Speaker 3: a vertical cylinder with kind of an open bright light 184 00:11:36,480 --> 00:11:39,200 Speaker 3: at the top, and a hummingbird at the bottom of 185 00:11:39,200 --> 00:11:41,560 Speaker 3: that chamber is going to be highly motivated to fly 186 00:11:41,720 --> 00:11:46,160 Speaker 3: upwards try to escape, and we use an assay that 187 00:11:46,240 --> 00:11:51,240 Speaker 3: was developed decades ago by other scientists where we put 188 00:11:51,320 --> 00:11:55,000 Speaker 3: a little ring around the bird's neck that's attached to 189 00:11:55,000 --> 00:11:57,080 Speaker 3: a string of beads, and when we know the weight 190 00:11:57,160 --> 00:11:59,760 Speaker 3: of the beads along that chain, we can record what's 191 00:12:00,000 --> 00:12:01,920 Speaker 3: opening when the hummingbird gets released from the bottom of 192 00:12:01,960 --> 00:12:05,080 Speaker 3: the chamber, and if everything is set up suitably for 193 00:12:05,120 --> 00:12:09,079 Speaker 3: the bird as they try to escape upward with everything 194 00:12:09,120 --> 00:12:12,560 Speaker 3: they've got, we're able to measure exactly how many weights 195 00:12:12,720 --> 00:12:15,280 Speaker 3: or how many exact weight of the beads on that 196 00:12:15,400 --> 00:12:16,960 Speaker 3: chain that they're able to lift. The higher they go, 197 00:12:17,040 --> 00:12:19,280 Speaker 3: they're lifting more and more weight until they hit a 198 00:12:19,320 --> 00:12:23,480 Speaker 3: maximum and return back to the bottom of the chamber. 199 00:12:23,880 --> 00:12:27,760 Speaker 3: So we're able to develop an essay that just fits 200 00:12:27,800 --> 00:12:33,280 Speaker 3: with their capabilities their motivations to measure their maximum weightlifting ability. 201 00:12:33,640 --> 00:12:37,560 Speaker 1: So essentially the tiny necklaces on hummingbirds is a part 202 00:12:37,600 --> 00:12:39,360 Speaker 1: of the study exactly. 203 00:12:39,400 --> 00:12:41,800 Speaker 3: Yeah, yeah, So we have to make those necklaces. Yeah. 204 00:12:41,920 --> 00:12:45,640 Speaker 1: Oh wow. So this latest study published in the Journal 205 00:12:45,679 --> 00:12:49,840 Speaker 1: of Zoology really gets into their maneuverability and their power reserves. 206 00:12:50,480 --> 00:12:53,240 Speaker 1: Can you lay out how these two aspects are linked. 207 00:12:53,320 --> 00:12:55,200 Speaker 1: As I was reading the paper, I can't. I really 208 00:12:55,280 --> 00:12:57,920 Speaker 1: kept thinking of hummingbirds in like video game terms and 209 00:12:57,960 --> 00:13:00,680 Speaker 1: imagining like little meters at the time the screen. 210 00:13:00,960 --> 00:13:06,880 Speaker 3: Yeah. So a couple of questions motivated this study, and 211 00:13:06,960 --> 00:13:09,760 Speaker 3: it was led by my colleague Paulo Segre and my 212 00:13:09,920 --> 00:13:14,840 Speaker 3: co author Doug Altuler. So one of the questions was, 213 00:13:15,200 --> 00:13:19,679 Speaker 3: when we're measuring their maneuvering performance, which includes lots of 214 00:13:19,880 --> 00:13:22,559 Speaker 3: complex behaviors that have a lot of degrees of freedom, 215 00:13:23,640 --> 00:13:26,400 Speaker 3: how tightly can they turn, How fast can they move 216 00:13:26,440 --> 00:13:29,240 Speaker 3: when they're turning, How fast can they accelerate decelerate? When 217 00:13:29,240 --> 00:13:33,440 Speaker 3: we're measuring those maneuvers, it's really hard to capture what 218 00:13:33,559 --> 00:13:37,920 Speaker 3: is a bird's maximum ability. The more freedom you give 219 00:13:37,960 --> 00:13:40,840 Speaker 3: them in a space where you're capturing what they do, 220 00:13:41,520 --> 00:13:45,240 Speaker 3: the less well defined maximum is because there's so many 221 00:13:45,240 --> 00:13:49,200 Speaker 3: different ways to move in a completely open environment. So 222 00:13:49,240 --> 00:13:54,320 Speaker 3: we've been studying maneuvering ability in across different hummingbird species 223 00:13:54,360 --> 00:13:58,800 Speaker 3: for some years, but we wanted to know is the 224 00:13:58,840 --> 00:14:02,000 Speaker 3: power they're able to generate in a more constrained assay 225 00:14:02,040 --> 00:14:05,560 Speaker 3: like our low lifting assay, is it predictive of some 226 00:14:05,800 --> 00:14:09,559 Speaker 3: maximum that we're able to capture in this free flight assay. 227 00:14:10,160 --> 00:14:13,679 Speaker 3: That was the motivation for that study, so led by Pollow. 228 00:14:13,679 --> 00:14:19,200 Speaker 3: What Pollow did was he reasoned using fundamental physics that 229 00:14:19,800 --> 00:14:22,960 Speaker 3: one of the basic maneuvers that they use very frequently 230 00:14:23,000 --> 00:14:25,720 Speaker 3: to turn, which we're calling an arcing turn, which is 231 00:14:25,760 --> 00:14:29,280 Speaker 3: basically just a level turn that if you look at 232 00:14:29,280 --> 00:14:33,920 Speaker 3: it from above, you follows a smooth arc. He reasoned 233 00:14:33,920 --> 00:14:38,240 Speaker 3: that those arcing urns, that we can build a physical 234 00:14:38,360 --> 00:14:44,880 Speaker 3: model of the forces that they need to to produce 235 00:14:44,880 --> 00:14:50,040 Speaker 3: those arcing turns, and we can test whether the maximum 236 00:14:50,200 --> 00:14:52,040 Speaker 3: load that a bird is able to lift in our 237 00:14:52,040 --> 00:14:57,080 Speaker 3: low lifting assay does that correspond with the maximum that 238 00:14:57,120 --> 00:15:00,840 Speaker 3: they're hitting up against as they read aroun forces during 239 00:15:00,840 --> 00:15:01,840 Speaker 3: those arcing turns. 240 00:15:02,480 --> 00:15:05,160 Speaker 1: So one of these arcing terns you're describing here, would 241 00:15:05,200 --> 00:15:08,560 Speaker 1: this perhaps be one of these maneuvers we see when 242 00:15:08,600 --> 00:15:11,960 Speaker 1: one hummingbird chases another hummingbird away from a feeder or 243 00:15:12,040 --> 00:15:13,040 Speaker 1: flowers in our yard. 244 00:15:15,400 --> 00:15:19,800 Speaker 3: Yes, absolutely, Yeah, and yeah, definitely. They'll they'll use arcing 245 00:15:19,880 --> 00:15:24,360 Speaker 3: terns during chases. They'll also use arcing turns during obstacle avoidance, 246 00:15:24,400 --> 00:15:27,760 Speaker 3: which is really important to a fast moving animal. Those 247 00:15:28,160 --> 00:15:29,560 Speaker 3: collisions could be deadly. 248 00:15:29,720 --> 00:15:33,240 Speaker 1: Yeah, these are the the collision avoidance turns. I guess 249 00:15:33,240 --> 00:15:36,760 Speaker 1: I don't notice as much because if they're avoiding collision 250 00:15:36,880 --> 00:15:40,120 Speaker 1: with my head, it's all happening so quickly. But yeah, 251 00:15:40,160 --> 00:15:42,480 Speaker 1: but sometimes we'll be watching them. Often we'll be watching 252 00:15:42,520 --> 00:15:44,200 Speaker 1: them and we'll see one chase the other off, and 253 00:15:44,640 --> 00:15:46,680 Speaker 1: it sounds it sounds like, yeah, that's what you're talking 254 00:15:46,720 --> 00:15:47,120 Speaker 1: about here. 255 00:15:47,200 --> 00:15:47,960 Speaker 3: Yeah, exactly. 256 00:15:48,480 --> 00:15:50,520 Speaker 1: I'm sorry, but I got us off topic here. You 257 00:15:50,840 --> 00:15:56,000 Speaker 1: were describing your analysis of these turns, right, Yeah. 258 00:15:56,080 --> 00:15:59,920 Speaker 3: So, so in those free flight essays, we are telling 259 00:16:00,120 --> 00:16:04,120 Speaker 3: birds what to do. They're performing at a sort of 260 00:16:04,200 --> 00:16:07,320 Speaker 3: routine flight level of performance as they're trying to avoid 261 00:16:07,520 --> 00:16:11,440 Speaker 3: the threatening experimenters avoid collisions with the size of the 262 00:16:11,440 --> 00:16:16,160 Speaker 3: flight chamber. But we can capture thousands of maneuvers from 263 00:16:16,160 --> 00:16:19,920 Speaker 3: each individual over a relatively short span of time because 264 00:16:20,000 --> 00:16:23,360 Speaker 3: everything humming birds do just happens on a much faster 265 00:16:23,480 --> 00:16:26,800 Speaker 3: timescale than other species or than their own lives. So 266 00:16:26,800 --> 00:16:28,920 Speaker 3: if you record a hummingbird for two hours, you might 267 00:16:28,960 --> 00:16:33,280 Speaker 3: capture two thousand arcing turns, for example. And so we 268 00:16:33,320 --> 00:16:37,160 Speaker 3: can computationally pull out the segments of flight that represent 269 00:16:37,800 --> 00:16:43,320 Speaker 3: the arcing turns that we're limited to a level plane, 270 00:16:43,520 --> 00:16:46,760 Speaker 3: and we can apply the physical model that Paolo built 271 00:16:47,200 --> 00:16:51,760 Speaker 3: to say, okay, the redirection of forces as the bird 272 00:16:51,840 --> 00:16:56,600 Speaker 3: is banking its body to execute that turn. What's the 273 00:16:56,680 --> 00:16:59,640 Speaker 3: kind of space of what that looks like for the many, 274 00:16:59,680 --> 00:17:02,080 Speaker 3: many thousands of turns that we captured from the different 275 00:17:02,120 --> 00:17:05,080 Speaker 3: hummingbirds in our study. We studied about twenty individual hummingbirds 276 00:17:05,119 --> 00:17:12,920 Speaker 3: in that study, and does the limit of that distribution, 277 00:17:13,720 --> 00:17:17,520 Speaker 3: how does that align with our predicted limit from how 278 00:17:17,600 --> 00:17:20,720 Speaker 3: much weight those birds could lift in our highly constrained 279 00:17:20,880 --> 00:17:28,040 Speaker 3: load lifting assay. And what we found was that overall, collectively, 280 00:17:28,680 --> 00:17:34,240 Speaker 3: the model predicts really well the maximum turning performance of 281 00:17:34,280 --> 00:17:37,359 Speaker 3: the birds in that chamber. So the Anna's hummingbirds that 282 00:17:37,359 --> 00:17:39,640 Speaker 3: we study either from the West coast of North America 283 00:17:40,320 --> 00:17:44,400 Speaker 3: slightly larger species than we have here in Ottawa or 284 00:17:44,800 --> 00:17:49,200 Speaker 3: where you are, but they have in our low lifting 285 00:17:49,200 --> 00:17:51,200 Speaker 3: assay they can lift about two and a half times 286 00:17:51,240 --> 00:17:58,440 Speaker 3: their body weight on average, and we can model what 287 00:17:58,520 --> 00:18:01,119 Speaker 3: that would translate to in terms of being able to 288 00:18:01,280 --> 00:18:05,240 Speaker 3: redirect forces to execute that turn. And the birds in 289 00:18:05,240 --> 00:18:10,800 Speaker 3: our free flight experiment, their peak performance matches that peak 290 00:18:10,920 --> 00:18:13,840 Speaker 3: of what we would predict based on their maximum ability. 291 00:18:14,800 --> 00:18:19,720 Speaker 3: So it's really satisfying. It It aligns with our hypothesis 292 00:18:20,040 --> 00:18:23,320 Speaker 3: that in order to be maneuverable, that power has to 293 00:18:23,359 --> 00:18:27,359 Speaker 3: come from their muscle capacity and flight and their kind 294 00:18:27,400 --> 00:18:30,200 Speaker 3: of excess muscle capacity, their ability to just lift weights 295 00:18:30,240 --> 00:18:34,520 Speaker 3: vertically is going to determine how well they can execute 296 00:18:34,560 --> 00:18:36,800 Speaker 3: these high performance acrobatic maneuvers. 297 00:18:37,000 --> 00:18:39,920 Speaker 1: So as they're flying about during the day, like, how 298 00:18:39,960 --> 00:18:42,960 Speaker 1: often are they like absolutely using up their powers? 299 00:18:43,480 --> 00:18:46,000 Speaker 3: Yeah, that's a really good question that we don't know 300 00:18:46,040 --> 00:18:51,360 Speaker 3: the answer to yet. And how often are they hitting 301 00:18:51,680 --> 00:18:56,640 Speaker 3: their maximum out in nature? Probably not that often compared 302 00:18:56,640 --> 00:18:58,360 Speaker 3: to you know, when you think of like the lifespan 303 00:18:58,400 --> 00:19:00,879 Speaker 3: of a hummingbird and how much they do during it 304 00:19:01,040 --> 00:19:05,480 Speaker 3: during the day, I would estimate, I would hypothesize that 305 00:19:05,640 --> 00:19:08,480 Speaker 3: it's it's pretty rare that they're executing maneuvers that are 306 00:19:08,560 --> 00:19:11,840 Speaker 3: that are hitting their max. But in our flight chamber, 307 00:19:12,000 --> 00:19:14,680 Speaker 3: you know, it was a pretty small proportion maybe one 308 00:19:14,760 --> 00:19:18,680 Speaker 3: percent of the turns are kind of hitting that maximum 309 00:19:18,760 --> 00:19:21,760 Speaker 3: envelope and and maybe it's similar out in the wild, 310 00:19:21,880 --> 00:19:25,320 Speaker 3: but that's something that we'll be able to test in 311 00:19:25,320 --> 00:19:30,359 Speaker 3: the future, for example, by having sensors small enough to 312 00:19:30,400 --> 00:19:32,399 Speaker 3: put on a really small bird. That's kind of the 313 00:19:32,480 --> 00:19:36,040 Speaker 3: challenge there. But a lot at the time of the 314 00:19:36,280 --> 00:19:37,680 Speaker 3: like you know, a lot of their time of the 315 00:19:37,720 --> 00:19:42,600 Speaker 3: day they spend perching and and probably one of the 316 00:19:42,640 --> 00:19:48,040 Speaker 3: biggest challenges for them is maintaining the muscle mass that 317 00:19:48,080 --> 00:19:52,800 Speaker 3: they would need to execute those rare, super high performance maneuvers. 318 00:19:53,160 --> 00:20:05,040 Speaker 1: That's absolutely fascinating. Now I have I have another question 319 00:20:05,119 --> 00:20:09,600 Speaker 1: or two about just studying the hummingbird, Like we as 320 00:20:09,640 --> 00:20:11,639 Speaker 1: we observe them, you know, we we obviously pick up 321 00:20:11,640 --> 00:20:15,000 Speaker 1: that they are they're very powerful creatures in their own right, 322 00:20:15,280 --> 00:20:17,680 Speaker 1: but we also get the sense of fragility about them. 323 00:20:17,720 --> 00:20:19,919 Speaker 1: Are they are they fragile to deal with? 324 00:20:20,040 --> 00:20:20,119 Speaker 3: Like? 325 00:20:20,320 --> 00:20:24,320 Speaker 1: What, how is it different dealing with hummingbirds versus other 326 00:20:24,359 --> 00:20:26,680 Speaker 1: birds you might be studying in your in your work. 327 00:20:27,560 --> 00:20:33,240 Speaker 3: Yeah, I would say in the lab, they're they're relatives 328 00:20:33,280 --> 00:20:36,760 Speaker 3: are easy to deal with compared to other species. And 329 00:20:37,720 --> 00:20:41,280 Speaker 3: part of that might be they're they're so specialized. If 330 00:20:41,320 --> 00:20:45,840 Speaker 3: you kind of know the conditions they need. They're relatively 331 00:20:45,880 --> 00:20:50,359 Speaker 3: easy to keep healthy. The main point of fragility is 332 00:20:50,400 --> 00:20:53,760 Speaker 3: that super high metabolic rate. If they run out of food, 333 00:20:53,760 --> 00:20:58,000 Speaker 3: that's catastrophic. But if you've got the right conditions for them, 334 00:20:58,080 --> 00:21:01,280 Speaker 3: kind of unlimited food, the right physical space, they're pretty 335 00:21:01,320 --> 00:21:04,399 Speaker 3: easy to deal with in the lab. But we have 336 00:21:04,480 --> 00:21:08,720 Speaker 3: to cows them separately, and that's different than other birds because, yeah, 337 00:21:08,720 --> 00:21:14,120 Speaker 3: they're so aggressive they they would exclude each other from feeding, 338 00:21:14,200 --> 00:21:20,480 Speaker 3: for example, and their bills can be a weapon. So 339 00:21:21,640 --> 00:21:24,080 Speaker 3: when when they're kind of housed in captivity, we keep 340 00:21:24,080 --> 00:21:27,040 Speaker 3: each individual on its own. And you don't see it 341 00:21:27,080 --> 00:21:32,120 Speaker 3: that often in the wild, but if you have video footage, 342 00:21:32,240 --> 00:21:35,280 Speaker 3: high speed video footage of birds interacting and fighting at 343 00:21:35,280 --> 00:21:37,919 Speaker 3: a feeder, you'll see how that bill is really like 344 00:21:38,040 --> 00:21:42,399 Speaker 3: a long dagger, and that they're when they're facing off, 345 00:21:42,480 --> 00:21:45,320 Speaker 3: they're making sure they orient their bills towards each towards 346 00:21:45,320 --> 00:21:47,320 Speaker 3: each other. You can imagine a collision with those long 347 00:21:47,320 --> 00:21:49,880 Speaker 3: bills would be really catastrophic for an animal that only 348 00:21:49,920 --> 00:21:51,680 Speaker 3: weighs two and a half grams. 349 00:21:52,000 --> 00:21:53,320 Speaker 1: Oh wow, Yeah, that was going to be one of 350 00:21:53,400 --> 00:21:56,040 Speaker 1: my questions, like what, like, what is the we see 351 00:21:56,040 --> 00:21:58,920 Speaker 1: them chasing each other, like, what are they actually doing 352 00:21:58,960 --> 00:22:00,399 Speaker 1: to each other? If they catch it, it kind of 353 00:22:00,440 --> 00:22:04,680 Speaker 1: sounds like it's like a joust in a sense, right, yeah. 354 00:22:04,440 --> 00:22:07,600 Speaker 3: And it's really hard for us to capture what that like, 355 00:22:07,720 --> 00:22:09,840 Speaker 3: what are the consequences of that in the wild. The 356 00:22:09,840 --> 00:22:13,760 Speaker 3: best examples we have are footage that people can capture 357 00:22:13,760 --> 00:22:16,320 Speaker 3: at a feeder and when birds really get into it 358 00:22:16,359 --> 00:22:18,840 Speaker 3: close to a feeder, what happens and you see them 359 00:22:18,880 --> 00:22:25,080 Speaker 3: grabbing each other's feathers and using their bills to defend 360 00:22:25,080 --> 00:22:30,280 Speaker 3: that space to displace another bird. And there's still a 361 00:22:30,320 --> 00:22:34,200 Speaker 3: lot of open research questions about you know, exactly how 362 00:22:34,320 --> 00:22:40,399 Speaker 3: like what signals or outcomes are determining who wins those competitions, 363 00:22:41,000 --> 00:22:43,800 Speaker 3: And that's an active area of work that we're studying 364 00:22:43,800 --> 00:22:46,720 Speaker 3: now in my lab. But even in the lab, we'll 365 00:22:46,760 --> 00:22:50,280 Speaker 3: see them rarely make physical contact with each other. So 366 00:22:50,280 --> 00:22:52,600 Speaker 3: if one bird wants to displace another from a perch, 367 00:22:52,880 --> 00:22:56,080 Speaker 3: sometimes they'll get into little scuffles where they're making contact, 368 00:22:56,400 --> 00:22:59,520 Speaker 3: and I think at high speeds those kinds of scuffles 369 00:22:59,520 --> 00:23:03,240 Speaker 3: would be dangerous to both individuals. So it's a real 370 00:23:03,280 --> 00:23:03,879 Speaker 3: game of chicken. 371 00:23:06,800 --> 00:23:10,520 Speaker 1: Now when you're studying hummingbirds, do you is it completely seasonal? 372 00:23:10,880 --> 00:23:13,119 Speaker 1: Is it seasonal availability very much a part of this, 373 00:23:13,320 --> 00:23:16,359 Speaker 1: or do you have hummingbirds like in captivity that you 374 00:23:16,400 --> 00:23:17,440 Speaker 1: can study year round. 375 00:23:18,119 --> 00:23:20,359 Speaker 3: Yeah. So in my lab here in Oddwell, we're studying 376 00:23:20,400 --> 00:23:24,760 Speaker 3: ruby throarted hummingbirds and they are migratory, and so we've 377 00:23:24,800 --> 00:23:27,639 Speaker 3: been catching birds here since the beginning of May, and 378 00:23:27,680 --> 00:23:29,879 Speaker 3: we've got a group of males in the lab now 379 00:23:30,000 --> 00:23:34,440 Speaker 3: that will release again prior to their autumn southward migration. 380 00:23:35,000 --> 00:23:39,360 Speaker 3: So we're only working with them within the breeding season 381 00:23:39,400 --> 00:23:44,800 Speaker 3: here and only studying the males, and remarkably many individuals, 382 00:23:44,800 --> 00:23:48,600 Speaker 3: many of the migratory species, an individual hummingbird will come 383 00:23:48,640 --> 00:23:51,280 Speaker 3: back to the very same feeder. So one of the 384 00:23:51,280 --> 00:23:54,280 Speaker 3: birds in my lab now is a bird that we 385 00:23:55,160 --> 00:24:00,200 Speaker 3: caught and released on campus last year, attached a little 386 00:24:00,280 --> 00:24:03,360 Speaker 3: band to his leg with an identifying number, and he 387 00:24:03,400 --> 00:24:06,160 Speaker 3: would have migrated all the way to Mexico. And then 388 00:24:06,280 --> 00:24:09,280 Speaker 3: this spring, the first two weeks of May, like clockwork, 389 00:24:09,280 --> 00:24:11,399 Speaker 3: he showed up at the exact same feeder. We captured 390 00:24:11,440 --> 00:24:16,320 Speaker 3: him again this year. So it really is remarkable not 391 00:24:16,359 --> 00:24:20,000 Speaker 3: only the physical feats that they do, but also they 392 00:24:20,080 --> 00:24:23,320 Speaker 3: have remarkable memories, and so they're and that's all part 393 00:24:23,359 --> 00:24:25,760 Speaker 3: of their high metabolic rate. They need to know where 394 00:24:25,760 --> 00:24:28,760 Speaker 3: those reliable food sources are. So this male we're be 395 00:24:28,760 --> 00:24:31,640 Speaker 3: throwed hummingbird came back to the exact same feeder after 396 00:24:31,680 --> 00:24:33,320 Speaker 3: this cross continental journey. 397 00:24:33,400 --> 00:24:34,879 Speaker 1: That was going to be one of my follow up 398 00:24:34,960 --> 00:24:37,119 Speaker 1: questions about the what's going on in the mind of 399 00:24:37,160 --> 00:24:40,800 Speaker 1: a hummingbird, And it's because again they just there's such 400 00:24:40,920 --> 00:24:44,919 Speaker 1: drastically different creatures they're living on this this time frame, 401 00:24:45,160 --> 00:24:47,359 Speaker 1: you know, that's so different from from ours, and then 402 00:24:48,080 --> 00:24:52,439 Speaker 1: vast distances in addition to vast speeds, So we have 403 00:24:52,480 --> 00:24:55,200 Speaker 1: what else do we know about their about the way 404 00:24:55,200 --> 00:24:56,280 Speaker 1: their little brains work. 405 00:24:56,520 --> 00:25:00,399 Speaker 3: Yeah, it's really fascinating. So there's a lot of excellent 406 00:25:00,400 --> 00:25:03,200 Speaker 3: research coming out of my co author dug Altuler's lab 407 00:25:03,400 --> 00:25:07,240 Speaker 3: on how their brains work and how the visual system works. 408 00:25:07,800 --> 00:25:13,200 Speaker 3: And we also have studies of their spatial memory. And 409 00:25:13,320 --> 00:25:15,880 Speaker 3: so a really beautiful study from about twenty years ago 410 00:25:15,960 --> 00:25:19,159 Speaker 3: now on a species of hummingbird that lives in the 411 00:25:19,240 --> 00:25:28,400 Speaker 3: Rocky Mountains looked at their ability to learn flowers that 412 00:25:28,680 --> 00:25:34,400 Speaker 3: change in nectar availability through time. So real flowers are 413 00:25:34,400 --> 00:25:38,080 Speaker 3: not like feeders, real flowers will be depleted and will 414 00:25:38,119 --> 00:25:44,000 Speaker 3: replenish themselves over some seasonal period. And hummingbirds that have 415 00:25:44,040 --> 00:25:46,440 Speaker 3: a territory with lots of flowers in them, they need 416 00:25:46,520 --> 00:25:50,280 Speaker 3: to know where their next meal is coming from, and 417 00:25:50,520 --> 00:25:54,600 Speaker 3: they're able to learn the locations of many flowers. As 418 00:25:54,600 --> 00:25:56,760 Speaker 3: an example, this bird that came all the way back 419 00:25:57,359 --> 00:26:02,639 Speaker 3: to my feeder from Mexico, you know, he would have 420 00:26:02,760 --> 00:26:06,800 Speaker 3: remembered other places along that route, we hypothesize. So what 421 00:26:06,840 --> 00:26:12,800 Speaker 3: the researchers did in Alberta, Canada, was create an experiment 422 00:26:12,840 --> 00:26:15,720 Speaker 3: where they could track one male in the wild who 423 00:26:15,720 --> 00:26:19,040 Speaker 3: had a territory and they had dynamic feeders in that 424 00:26:19,160 --> 00:26:22,959 Speaker 3: territory that went on different time schedules. Maybe some feeders 425 00:26:23,000 --> 00:26:26,880 Speaker 3: would replenish on five minute intervals, others on ten minute intervals, 426 00:26:26,880 --> 00:26:30,080 Speaker 3: others on twenty minute intervals. And if a bird had 427 00:26:30,200 --> 00:26:37,639 Speaker 3: multiple of those variable timed feeders available, would they be 428 00:26:37,680 --> 00:26:41,800 Speaker 3: able to learn those different time schedules. And they found 429 00:26:41,800 --> 00:26:44,080 Speaker 3: that indeed they could. So not only can they remember 430 00:26:44,160 --> 00:26:47,600 Speaker 3: where the food resources are, but they can keep track 431 00:26:47,720 --> 00:26:52,000 Speaker 3: of multiple variable schedules within their territory like all in 432 00:26:52,040 --> 00:26:54,800 Speaker 3: their head. Right, So they've brought like a calendar in 433 00:26:54,840 --> 00:27:00,000 Speaker 3: their head to determine where, like which resources have food, 434 00:27:00,240 --> 00:27:02,560 Speaker 3: where are they and when are they going to become 435 00:27:02,600 --> 00:27:07,200 Speaker 3: profitable again? And their brains are really really small, remember, 436 00:27:07,240 --> 00:27:09,719 Speaker 3: because their whole bodies are miniaturized, so their brains are 437 00:27:09,840 --> 00:27:12,879 Speaker 3: much much smaller than the brains of other birds. So 438 00:27:12,880 --> 00:27:14,760 Speaker 3: it's really quite incredible that they can do that. 439 00:27:14,920 --> 00:27:16,919 Speaker 1: Yeah, I'm really impressed by their ability to map all 440 00:27:16,960 --> 00:27:18,760 Speaker 1: that out. And then I feel a little I can't 441 00:27:18,800 --> 00:27:23,399 Speaker 1: help but feel guilty by how like if I forget 442 00:27:23,440 --> 00:27:26,159 Speaker 1: to refill the feeder or to change out the nectar 443 00:27:26,200 --> 00:27:29,600 Speaker 1: and a feeder, I just now I'm going to feel 444 00:27:29,600 --> 00:27:33,280 Speaker 1: even worse because I'm messing with their finely tuned like 445 00:27:33,400 --> 00:27:36,960 Speaker 1: mental map of where all the flowers and the feeders are. 446 00:27:37,359 --> 00:27:40,520 Speaker 3: Yeah, it is important if you're maintaining a feeder, is 447 00:27:40,520 --> 00:27:44,160 Speaker 3: important to keep it going. But you know they're they're 448 00:27:44,200 --> 00:27:48,320 Speaker 3: really resilient as well. They've been around for millions of 449 00:27:48,400 --> 00:27:52,960 Speaker 3: years before we started providing feeders, and so the birds 450 00:27:53,000 --> 00:27:56,520 Speaker 3: that are in your yard, in your neighborhood, they're going 451 00:27:56,560 --> 00:28:01,880 Speaker 3: to have other food sources mapped out. So yeah, it's important, 452 00:28:01,960 --> 00:28:07,359 Speaker 3: but it's unlikely to be catastrophic if one person forgets 453 00:28:07,440 --> 00:28:11,720 Speaker 3: to refill their feeder. But what's also fascinating is that 454 00:28:11,760 --> 00:28:16,800 Speaker 3: we're learning how those feeders are changing are causing contemporary 455 00:28:16,800 --> 00:28:24,600 Speaker 3: evolution in hummingbirds. The species that we have on the 456 00:28:24,640 --> 00:28:28,520 Speaker 3: eastern North America here ruby throt hummingbirds, their populations are 457 00:28:28,520 --> 00:28:33,640 Speaker 3: doing quite well despite lots of threats that humans are 458 00:28:33,640 --> 00:28:36,120 Speaker 3: creating for other bird species, and probably a big part 459 00:28:36,119 --> 00:28:40,560 Speaker 3: of that is humans providing food to them. On the 460 00:28:40,600 --> 00:28:44,880 Speaker 3: West Coast, the Anna's hummingbird is a species that has 461 00:28:44,960 --> 00:28:47,840 Speaker 3: expanded its range, so it used to only live in 462 00:28:48,120 --> 00:28:52,320 Speaker 3: kind of warmer states in the southwest of the US, 463 00:28:52,960 --> 00:28:55,360 Speaker 3: and now we find that species and as hummingbird as 464 00:28:55,400 --> 00:28:59,640 Speaker 3: far north is as Vancouver, Canada, where we conducted our research. 465 00:29:01,600 --> 00:29:05,080 Speaker 3: They've expanded over the past century with people providing food 466 00:29:06,120 --> 00:29:10,440 Speaker 3: both ornamental flowers but also feeders, and we're learning that 467 00:29:10,480 --> 00:29:12,440 Speaker 3: there's a study that just came out this year. We're 468 00:29:12,520 --> 00:29:17,800 Speaker 3: learning how providing feeders is causing measurable changes to the 469 00:29:17,880 --> 00:29:21,320 Speaker 3: morphology of their beaks. Their beaks are changing in size 470 00:29:21,360 --> 00:29:25,760 Speaker 3: as they've been expanding. So it's really really neat because 471 00:29:26,800 --> 00:29:31,080 Speaker 3: beak shape evolution is kind of this classic case where 472 00:29:32,360 --> 00:29:36,040 Speaker 3: that led Darwin to come to appreciate how natural selection works, 473 00:29:36,960 --> 00:29:40,920 Speaker 3: and we humans are now causing that to happen on 474 00:29:41,400 --> 00:29:43,200 Speaker 3: a rapid timescale. 475 00:29:43,480 --> 00:29:46,880 Speaker 1: Wow, so what sort of changes are taking place here? 476 00:29:46,920 --> 00:29:48,640 Speaker 1: Are the beaks getting shorter longer? 477 00:29:49,480 --> 00:29:52,280 Speaker 3: Yeah, so their beaks are getting longer to be able 478 00:29:52,320 --> 00:29:57,000 Speaker 3: to extract food from feeders and their way. Researchers have 479 00:29:57,040 --> 00:29:59,880 Speaker 3: been able to discover that is by measuring the beaks 480 00:30:00,080 --> 00:30:03,560 Speaker 3: of museum specimens that were collected over the past century 481 00:30:03,560 --> 00:30:07,160 Speaker 3: and kind of building up a time series of specimens 482 00:30:07,200 --> 00:30:09,240 Speaker 3: from you know, one hundred years ago, fifty years ago 483 00:30:09,040 --> 00:30:10,120 Speaker 3: to present. 484 00:30:10,560 --> 00:30:15,000 Speaker 1: Wow, that's impressive. So you're spending all this time studying hummingbirds, 485 00:30:15,920 --> 00:30:18,840 Speaker 1: do they retain their magic for you? Or did they 486 00:30:18,840 --> 00:30:22,640 Speaker 1: become like just a little every day? Are they still exciting? 487 00:30:22,840 --> 00:30:26,760 Speaker 3: They are still exciting. One of my favorite moments from 488 00:30:27,040 --> 00:30:30,400 Speaker 3: going out into the field at the sites where we 489 00:30:30,600 --> 00:30:34,560 Speaker 3: find our hummingbirds is getting to see courtship displays, getting 490 00:30:34,600 --> 00:30:37,560 Speaker 3: to see a male court a female and rub throw it. 491 00:30:37,640 --> 00:30:41,480 Speaker 3: Hummingbirds they do the shuttle display where they're zooming back 492 00:30:41,520 --> 00:30:43,920 Speaker 3: and forth and they start, you know, with a small 493 00:30:44,160 --> 00:30:47,080 Speaker 3: arc and they're flaring their colorful feathers in front of 494 00:30:47,080 --> 00:30:50,280 Speaker 3: the female and their shuttle gets bigger and bigger, faster 495 00:30:50,360 --> 00:30:55,200 Speaker 3: and faster. It's still really magical, even after handling lots 496 00:30:55,200 --> 00:30:59,720 Speaker 3: of hummingbirds in the lab. And the other thing I 497 00:30:59,720 --> 00:31:03,400 Speaker 3: find really exciting about them is seeing their behavior slowed down. 498 00:31:03,960 --> 00:31:08,600 Speaker 3: When if you capture interactions with high speed video and 499 00:31:08,640 --> 00:31:14,680 Speaker 3: then watch them slow speed, it really looks like you 500 00:31:14,800 --> 00:31:17,200 Speaker 3: get an even greater appreciation for what they can do 501 00:31:17,240 --> 00:31:19,920 Speaker 3: because it looks like they're swimming in the air. It 502 00:31:19,960 --> 00:31:25,080 Speaker 3: looks like like they're moving in the air as definitely 503 00:31:25,280 --> 00:31:28,800 Speaker 3: as we do kind of on the ground, and you 504 00:31:28,840 --> 00:31:31,320 Speaker 3: get a real impression for things that they can do 505 00:31:31,480 --> 00:31:33,360 Speaker 3: that you know, they just whiz by you when you're 506 00:31:33,360 --> 00:31:36,760 Speaker 3: seeing it in real life, but there's a lot happening there. 507 00:31:36,960 --> 00:31:39,440 Speaker 1: Yeah, I know just from this was several years back, 508 00:31:39,440 --> 00:31:42,040 Speaker 1: but I went with my family to Costa Rica and 509 00:31:42,080 --> 00:31:44,440 Speaker 1: we got to see some hummingbirds there at some feeders, 510 00:31:45,000 --> 00:31:47,880 Speaker 1: and just with whatever sort of iPhone we had at 511 00:31:47,920 --> 00:31:51,160 Speaker 1: the time, you know, you could take a to take 512 00:31:51,400 --> 00:31:55,640 Speaker 1: pretty decent video and slow it down and gets this 513 00:31:55,800 --> 00:31:58,040 Speaker 1: enhanced appreciation for what they were doing. And so I 514 00:31:58,080 --> 00:32:02,600 Speaker 1: can only imagine what's possible with today's iPhones and smartphones 515 00:32:02,640 --> 00:32:07,160 Speaker 1: and with like serious of film film equipment. 516 00:32:07,680 --> 00:32:11,160 Speaker 3: Yeah, yeah, that's right. And Costa Rica has like a 517 00:32:11,400 --> 00:32:15,440 Speaker 3: huge diversity of species, and different locations that you'll visit 518 00:32:15,520 --> 00:32:19,320 Speaker 3: will have different species. And that's another question that continues 519 00:32:19,360 --> 00:32:23,720 Speaker 3: to fascinate me. The smallest hummingbirds we have are just 520 00:32:24,040 --> 00:32:27,479 Speaker 3: you know, two grams, which is the mass of a penny. 521 00:32:27,920 --> 00:32:28,160 Speaker 1: Wow. 522 00:32:28,160 --> 00:32:30,800 Speaker 3: And then the largest species we have is twenty grams. 523 00:32:30,840 --> 00:32:35,800 Speaker 3: That's ten times bigger. And then we've got three hundred 524 00:32:35,800 --> 00:32:39,600 Speaker 3: and sixty six species that span that range, most of 525 00:32:39,640 --> 00:32:42,320 Speaker 3: them kind of between the two to ten gram size, 526 00:32:42,320 --> 00:32:44,840 Speaker 3: which is still a big range. Why is it that 527 00:32:44,880 --> 00:32:47,560 Speaker 3: there's so many different ways to be a hummingbird? How 528 00:32:47,600 --> 00:32:50,880 Speaker 3: do all of these like this one kind of overall strategy, 529 00:32:50,880 --> 00:32:54,320 Speaker 3: How does it lead to this diversification? And how do 530 00:32:54,400 --> 00:32:57,080 Speaker 3: they all coexist? Is another really fascinating question. 531 00:32:57,640 --> 00:32:59,520 Speaker 1: All right, well, Rossland, thanks for coming on the show 532 00:32:59,520 --> 00:33:01,560 Speaker 1: and chatting with me today about hummingbirds. 533 00:33:01,840 --> 00:33:02,640 Speaker 3: Thank you very much. 534 00:33:06,240 --> 00:33:09,000 Speaker 1: Thanks once again to Rosalind Dacon for taking time out 535 00:33:09,040 --> 00:33:10,880 Speaker 1: of her day to chat with me again. The paper 536 00:33:11,040 --> 00:33:15,200 Speaker 1: is turning trade offs hummingbird power reserves are used to 537 00:33:15,240 --> 00:33:19,240 Speaker 1: decrease turning radius or increase turning velocity out now in 538 00:33:19,280 --> 00:33:22,320 Speaker 1: the Journal of Zoology, and you can learn more about 539 00:33:22,360 --> 00:33:25,640 Speaker 1: her work with the Dynamic Behavior Lab by visiting our 540 00:33:25,640 --> 00:33:29,760 Speaker 1: website at Rosalindacin dot com. That's r O s l 541 00:33:30,000 --> 00:33:35,000 Speaker 1: y N da ki n dot com. Just a reminder 542 00:33:35,040 --> 00:33:36,800 Speaker 1: to everyone out there, the Stuff to Blow Your Mind 543 00:33:36,880 --> 00:33:39,680 Speaker 1: is primarily a science and culture podcast, with core episodes 544 00:33:39,720 --> 00:33:42,760 Speaker 1: on Tuesdays and Thursdays, but on Fridays we set aside 545 00:33:42,800 --> 00:33:45,080 Speaker 1: most serious concerns to just talk about a weird film 546 00:33:45,160 --> 00:33:48,440 Speaker 1: on Weird House Cinema. Thanks as always to the excellent 547 00:33:48,520 --> 00:33:50,840 Speaker 1: JJ Possway for producing the show, and if you would 548 00:33:50,880 --> 00:33:53,000 Speaker 1: like to reach out to us, you can email us 549 00:33:53,160 --> 00:34:03,480 Speaker 1: at contact at stuff to Blow your Mind dot com. 550 00:34:03,640 --> 00:34:06,560 Speaker 2: Stuff to Blow Your Mind is production of iHeartRadio. 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