1 00:00:08,433 --> 00:00:13,433 If you're in Maui during the height of humpback whale season, and you just go for a swim in 2 00:00:15,433 --> 00:00:19,433 the ocean, typically you will hear the chorusing in the background of humpback whale song. 3 00:00:24,033 --> 00:00:29,033 Humpback whale males are the ones who sing. 4 00:00:31,000 --> 00:00:34,800 The humpback whale song is kind of other-worldly because it combines these elements of low 5 00:00:37,533 --> 00:00:42,500 frequency sounds together with these really high notes and all kinds of things sort of 6 00:00:43,266 --> 00:00:45,466 in between. 7 00:00:45,466 --> 00:00:48,833 And that's part of the reason what makes the song so interesting and unique because you 8 00:00:48,833 --> 00:00:53,800 really get the sense that the whales are trying to kind of show off the range. 9 00:00:55,766 --> 00:00:59,633 It's quite beautiful and melodic and other than human language, it's been touted as 10 00:01:01,166 --> 00:01:04,333 one of the most complex vocalizations in the animal kingdom. 11 00:01:04,333 --> 00:01:06,400 Surfacing. 12 00:01:06,400 --> 00:01:11,166 Each year, approximately half of the North Pacific humpback whale population migrates 13 00:01:13,000 --> 00:01:16,900 roughly 3,000 miles from its feeding grounds in Southeastern Alaska to its breeding 14 00:01:17,733 --> 00:01:20,633 grounds in Hawai. 15 00:01:20,633 --> 00:01:25,600 The majority of the whales will be here between January and March. 16 00:01:25,600 --> 00:01:30,600 When they're in the breeding grounds, other than newborn calves that are feeding on their 17 00:01:31,966 --> 00:01:35,666 mother's milk, the whales are largely fasting. 18 00:01:35,666 --> 00:01:40,033 So the amount of time that they can spend here is going to be dictated by their energy 19 00:01:40,033 --> 00:01:43,300 stores that they've built up over the summer. 20 00:01:43,300 --> 00:01:48,266 While in the breeding grounds the male whales perform their haunting song. 21 00:01:49,733 --> 00:01:54,066 All the whales in Hawai sing approximately the same song. 22 00:01:54,066 --> 00:01:59,033 Based on genetics, now there is believed to be 14 distinct population segments of humpback 23 00:01:59,800 --> 00:02:02,066 whales around the world. 24 00:02:02,066 --> 00:02:06,933 There are very large differences between the song that is produced, let's say here in the 25 00:02:06,933 --> 00:02:10,966 North Pacific and what we have in the South Pacific, because those are entirely different 26 00:02:10,966 --> 00:02:15,866 populations and those whales do not interact with each other. 27 00:02:15,866 --> 00:02:18,566 There's three or four other whales singing 28 00:02:18,566 --> 00:02:23,533 When the breeding season starts, the whales are singing the same song that they ended 29 00:02:24,400 --> 00:02:26,300 with at the previous season. 30 00:02:26,300 --> 00:02:30,400 The song evolves in certain ways over the course of a breeding season. 31 00:02:31,866 --> 00:02:36,533 There may be innovators in the singing community in Hawai. 32 00:02:36,533 --> 00:02:41,533 It may be that there are whales from other breeding areas that go up to similar feeding 33 00:02:43,533 --> 00:02:46,733 grounds and they've come down to the Hawai breeding grounds and are bringing some changes 34 00:02:48,133 --> 00:02:50,566 in the song that the other males are adopting. 35 00:02:50,566 --> 00:02:55,533 And that combination leads to the song kind of evolving over the course of 36 00:02:56,166 --> 00:02:58,233 a season. 37 00:02:58,233 --> 00:03:02,133 So at the end of the season when you record a song, there is some slight differences that 38 00:03:03,533 --> 00:03:05,466 are very noticeable from the beginning of the season. 39 00:03:05,466 --> 00:03:09,800 If you record song over several years, you may hear that those small changes lead to 40 00:03:10,533 --> 00:03:12,666 large scale changes. 41 00:03:12,666 --> 00:03:17,533 There's still so much we don't understand even just some very basic questions as to 42 00:03:17,533 --> 00:03:19,900 what the function of their song is. 43 00:03:19,900 --> 00:03:24,733 And there's just been a lot of debate about that. 44 00:03:24,733 --> 00:03:28,633 How do scientists study humpback whale song? 45 00:03:30,233 --> 00:03:33,666 And what might it tell them about the fitness of an individual whale? 46 00:03:56,600 --> 00:04:01,533 Major funding for this program was provided by the Batchelor Foundation, 47 00:04:01,533 --> 00:04:04,400 encouraging people to preserve and protect 48 00:04:04,400 --> 00:04:06,733 America's underwater resources. 49 00:04:06,733 --> 00:04:11,733 And by The William J. & Tina Rosenberg Foundation, 50 00:04:14,300 --> 00:04:19,300 The Do Unto Others Trust and by the following. 51 00:04:42,833 --> 00:04:46,766 Whales have long held a place in Hawaiian culture. 52 00:04:46,766 --> 00:04:48,566 We all paid tribute to the whale. 53 00:04:48,566 --> 00:04:52,466 And one of the chants was aumakua, which is the guardian angel. 54 00:04:52,466 --> 00:04:54,666 So it talks about the whale being a guardian angel 55 00:04:54,666 --> 00:04:56,066 of a family. 56 00:05:25,333 --> 00:05:27,766 It says that the whale exists everywhere in heaven. 57 00:05:27,766 --> 00:05:32,766 It has a lot of knowledge and a lot of experience and is very strong and it takes care of us. 58 00:05:35,866 --> 00:05:40,866 While historically toothed whales have always played an important role in Hawaiian culture, 59 00:05:42,866 --> 00:05:46,733 today humpback whales are clearly the most recognized whale species in Hawai. 60 00:05:49,666 --> 00:05:54,666 Tourists come from far and wide to observe these majestic creatures. 61 00:05:57,033 --> 00:06:02,033 They generate tens of millions of dollars in a tourist interest. 62 00:06:03,666 --> 00:06:07,366 The islands clear waters are also a great place for researchers to study 63 00:06:07,366 --> 00:06:09,466 the baleen whales. 64 00:06:10,900 --> 00:06:13,033 We have several projects that we're currently engaged in. 65 00:06:15,033 --> 00:06:18,066 And one of them is trying to get a better handle on how song may function. 66 00:06:23,733 --> 00:06:28,733 Scientists Adam Pack and Marc Lammers have been researching humpback whales for decades, 67 00:06:30,333 --> 00:06:35,333 often collaborating on different studies. 68 00:06:38,033 --> 00:06:43,033 To research whale song, the team works on the leeward side of Maui, inside the Hawaiian 69 00:06:44,433 --> 00:06:49,066 Islands Humpback Whale National Marine Sanctuary. 70 00:06:49,066 --> 00:06:54,066 In the United States humpback whales are given special protections under the Marine Mammal 71 00:06:54,766 --> 00:06:56,733 Protection Act. 72 00:06:56,733 --> 00:07:01,666 Federal Regulations mandate that people have to stay a hundred yards away from whales. 73 00:07:05,800 --> 00:07:10,800 We have specialized federal permits that allow us to do our research, which includes approaching 74 00:07:13,766 --> 00:07:15,766 closer than a hundred yards. 75 00:07:18,033 --> 00:07:20,900 Okay, we've got an animal at 12 o'clock. 76 00:07:20,900 --> 00:07:23,100 Is he still singing? Yeah. 77 00:07:23,100 --> 00:07:25,100 Animal 12 o'clock? How far away? 78 00:07:25,100 --> 00:07:27,100 150 yards. 79 00:07:27,100 --> 00:07:29,166 Okay. 80 00:07:29,166 --> 00:07:32,833 In order to be able to collect our data, we have to locate where the singer is, and the 81 00:07:35,233 --> 00:07:37,100 physics of underwater sound make it challenging because underwater sound travels four and 82 00:07:37,100 --> 00:07:40,333 a half times faster than in air, which makes the wavelengths longer. 83 00:07:40,333 --> 00:07:43,933 So if we just stick our heads in the water, we're not going to be able to tell you where 84 00:07:43,933 --> 00:07:46,466 the sound is coming from. 85 00:07:46,466 --> 00:07:50,466 So what we do is, we use a directional hydrophone system, which has effectively two receivers 86 00:07:50,466 --> 00:07:55,466 that are spaced at four and a half times the spacing between our ears. 87 00:07:57,533 --> 00:08:00,666 And that allows us to kind of use those kinds of amplitude differences that we would normally 88 00:08:02,666 --> 00:08:05,666 use in air to effectively resolve which direction the song is coming from. 89 00:08:06,400 --> 00:08:07,900 Okay, right again. 90 00:08:07,900 --> 00:08:11,033 And that allows us to then to then move closer to him. 91 00:08:12,900 --> 00:08:16,033 We're interested in the characteristics of a humpback whale song itself. 92 00:08:17,833 --> 00:08:22,366 The song is complex, it's hierarchically organized. 93 00:08:24,400 --> 00:08:29,333 What you see here is the full cycle of the song and each one of these little bright dots 94 00:08:30,766 --> 00:08:34,400 right here is representative of basically a song unit. 95 00:08:34,400 --> 00:08:39,000 So, for example, here we have a certain type of unit that's repeated, and one phrase begins 96 00:08:39,000 --> 00:08:40,233 and ends about right here. 97 00:08:40,233 --> 00:08:44,800 Another one begins and ends approximately here. 98 00:08:44,800 --> 00:08:48,933 Then another one right over here, and then another one over here. 99 00:08:48,933 --> 00:08:50,866 And then the final one is right there. 100 00:08:50,866 --> 00:08:55,333 So you can see really the structure of how the units contribute to different types of 101 00:08:57,800 --> 00:09:00,500 phrases and how different phrases are organized into the themes that make up the entire song. 102 00:09:03,233 --> 00:09:08,233 After each song cycle, which on average lasts between ten to 18 minutes, the whale surfaces 103 00:09:09,866 --> 00:09:14,866 to breathe, before re-submerging to start the song all over again. 104 00:09:17,133 --> 00:09:22,133 Once the animal dives back down, the team joins him in the water to collect their data. 105 00:09:24,166 --> 00:09:28,866 The animals tend to sing kind of canted about anywhere from about 45 to 60 degrees down. 106 00:09:31,300 --> 00:09:36,000 Most often they're alone, sometimes they're singing while in association with other whales. 107 00:09:38,366 --> 00:09:41,500 The humpback whale song is just in itself very beautiful. 108 00:09:41,500 --> 00:09:46,000 But when you get in the water with them and you're right next to a singer and you feel 109 00:09:46,000 --> 00:09:51,000 the tips of your fins and your lungs vibrating as a result, it definitely leaves a very strong 110 00:09:51,733 --> 00:09:53,933 impression on you. 111 00:09:53,933 --> 00:09:57,233 And it's humbling, really. 112 00:09:59,266 --> 00:10:02,133 To document the behavior of the whale, Adam records video while in the water. 113 00:10:02,133 --> 00:10:07,133 He also uses the video to measure the size of the animal using a technique called videogrammetry, 114 00:10:09,300 --> 00:10:12,000 which he developed with his colleagues. 115 00:10:12,000 --> 00:10:17,000 For that technique you need to know the distance from the camera to the whale. 116 00:10:18,933 --> 00:10:22,233 And so I am continuously videotaping that whale and I wait for the singer to straighten 117 00:10:23,400 --> 00:10:25,933 out. 118 00:10:25,933 --> 00:10:29,400 Then I have a high frequency handheld sonar device, higher than the whales can hear, basically 119 00:10:30,666 --> 00:10:32,833 it's like a fish finder. 120 00:10:32,833 --> 00:10:37,833 When activated, this sonar device makes a clicking sound while measuring the distance 121 00:10:39,000 --> 00:10:42,200 between the camera and the whale. 122 00:10:42,200 --> 00:10:47,166 This measurement displays on a small LCD screen which Adam records with his video camera. 123 00:10:49,233 --> 00:10:54,200 So when I'm back at our laboratory at UH Hilo and I'm watching video of this, I'll hear 124 00:10:56,133 --> 00:10:59,700 a click sound and I know that's the moment I have to capture that frame on my computer. 125 00:11:01,700 --> 00:11:05,733 And then I'll basically measure the distance on the computer screen, from the tip of the 126 00:11:07,033 --> 00:11:09,433 rostrum to the tip of the tail. 127 00:11:09,433 --> 00:11:14,433 And then there's an easy algorithm that we use to calculate the length of the whale. 128 00:11:16,366 --> 00:11:20,200 While Adam captures video, Marc records the whale's song so its acoustic characteristics 129 00:11:21,466 --> 00:11:23,500 can be analyzed later. 130 00:11:23,500 --> 00:11:28,266 I will position myself towards the head of the animal and start making my recordings, 131 00:11:30,233 --> 00:11:33,866 and I also have a handheld dive sonar that I use to measure the distance that I'm at from 132 00:11:34,866 --> 00:11:36,966 the singing whale. 133 00:11:36,966 --> 00:11:41,466 And those measurements are then used for us to then be able to calculate the source level 134 00:11:42,666 --> 00:11:44,200 - so the amplitude that the whale is singing. 135 00:11:46,266 --> 00:11:49,200 We'll capture as much of the song as we can and ideally if we can, we'll capture multiple 136 00:11:49,200 --> 00:11:52,300 sequences of the song. 137 00:11:52,300 --> 00:11:57,266 What we're interested in is whether that song of a particular singer carries information about 138 00:12:00,166 --> 00:12:02,633 that singer's fitness. 139 00:12:02,633 --> 00:12:07,633 If we consider that all the whales are effectively trying to produce the same song, some are 140 00:12:09,100 --> 00:12:12,933 going to be inherently better at it presumably than others. 141 00:12:12,933 --> 00:12:17,933 And that's exactly what we're trying to quantify, is just that range and that variability that 142 00:12:18,666 --> 00:12:20,733 exists among the whales. 143 00:12:20,733 --> 00:12:25,233 Are some whales truly better at producing song at both low and high frequencies? 144 00:12:25,233 --> 00:12:30,233 Are other whales maybe a little bit more limited in terms of the range that they can produce? 145 00:12:32,100 --> 00:12:35,900 Are things like the loudness of the song, right, the amplitude of that song, is that 146 00:12:36,766 --> 00:12:37,966 related to larger body size? 147 00:12:39,466 --> 00:12:42,733 Would that represent a singer with high levels of testosterone? 148 00:12:42,733 --> 00:12:47,733 We're interested in testosterone levels because we know that when whales enter a reproductive 149 00:12:49,100 --> 00:12:52,166 stage, those levels go up quite dramatically. 150 00:12:52,166 --> 00:12:57,133 Is the quality of the song related to their testosterone levels, which could then help 151 00:12:59,233 --> 00:13:02,366 them broadcast to their competitors and to their potential mates their willingness and their 152 00:13:03,233 --> 00:13:07,633 ability to compete vigorously. 153 00:13:07,633 --> 00:13:12,633 To measure the testosterone levels, the experts need to collect a small blubber sample after 154 00:13:14,066 --> 00:13:17,133 they've completed their in-water data collection. 155 00:13:19,633 --> 00:13:24,633 Adam will shoot a biopsy dart, which collects a very small sample of blubber and skin using 156 00:13:26,633 --> 00:13:30,300 a hollow tipped arrow that just bounces right off the whale and then we go and collect that. 157 00:13:32,300 --> 00:13:36,633 At the end of each day, Adam works up the biopsy samples in a sterile work environment. 158 00:13:38,466 --> 00:13:43,466 So here we have a small amount of blubber, there's the skin. 159 00:13:45,833 --> 00:13:50,733 And so, we're going to send it up to our colleague up at the University of Alaska Fairbanks and 160 00:13:52,633 --> 00:13:56,633 they have a laboratory up there where they can do our steroid hormone analysis for us. 161 00:13:58,666 --> 00:14:03,533 While Marc and Adam still need to collect more data to draw definitive conclusions about 162 00:14:06,000 --> 00:14:08,766 the correlations between a singer's hormone levels and its size and acoustic characteristics, 163 00:14:10,233 --> 00:14:13,966 they're already able to tease out some preliminary findings. 164 00:14:13,966 --> 00:14:17,933 Larger whales may be able to produce somewhat louder songs. 165 00:14:17,933 --> 00:14:22,933 And we know that the larger whale is the more likely to win in a competition for a mate. 166 00:14:25,000 --> 00:14:29,533 A number of hypotheses have been proposed over the years to understand the purpose of 167 00:14:30,266 --> 00:14:32,233 the humpback's song. 168 00:14:32,233 --> 00:14:35,833 From helping sort of stimulating females to come into estrus to providing some sort of 169 00:14:35,833 --> 00:14:38,766 a homing beacon for migrating whales. 170 00:14:40,100 --> 00:14:41,333 None of them are necessarily mutually exclusive. 171 00:14:41,333 --> 00:14:44,966 From what we can tell it is a display. 172 00:14:44,966 --> 00:14:49,966 When we see singers being joined by other whales it almost always is by other males. 173 00:14:53,133 --> 00:14:57,566 We don't see females actively approaching singers. 174 00:14:57,566 --> 00:15:02,366 And so if other males are the ones that are really coming in and paying close attention 175 00:15:02,366 --> 00:15:07,366 to the song of the singer, it suggests that there's something in the quality of the song 176 00:15:08,800 --> 00:15:12,333 that they're homing in on and trying to sort of perceive. 177 00:15:12,333 --> 00:15:17,333 It could benefit other males who may encounter the singer again, so they have some information, 178 00:15:21,433 --> 00:15:26,433 so as not to engage this male in physical competition and perhaps get injured. 179 00:15:28,466 --> 00:15:32,300 While Adam and Marc are busy collecting their data, other members of the research team make 180 00:15:34,233 --> 00:15:37,366 observations and take photographs of the animals' tail flukes and other distinguishing 181 00:15:37,966 --> 00:15:39,400 body parts. 182 00:15:39,400 --> 00:15:43,733 These images will be used later for photo identification. 183 00:15:43,733 --> 00:15:48,733 And the fluke ID that we gather is important because our historical archive of humpback 184 00:15:50,566 --> 00:15:54,666 whale individual identification photographs dates back to 1976. 185 00:15:54,666 --> 00:15:59,033 It's one of the largest archives in the world of humpback whales. 186 00:15:59,033 --> 00:16:04,033 It contains some 23,000 images, or what we call observations of, over 7,000 individual 187 00:16:05,833 --> 00:16:06,800 whales. 188 00:16:06,800 --> 00:16:08,933 So it's a rich database. 189 00:16:08,933 --> 00:16:13,933 Unique markings on the whales' tail flukes make it possible to distinguish between individuals. 190 00:16:15,966 --> 00:16:20,566 One of the whales that we came across yesterday was a singer and I was curious whether we 191 00:16:21,933 --> 00:16:23,933 had seen this whale before. 192 00:16:23,933 --> 00:16:28,733 So you can see that this is a whale that we call a 75% white, meaning three quarters of 193 00:16:29,900 --> 00:16:32,700 the ventral surface of the tail fluke is white. 194 00:16:32,700 --> 00:16:35,466 And there is some markings like this scar, this scar. 195 00:16:35,466 --> 00:16:40,466 And so what I did was, I took this photograph here, I'll just move it to the side. 196 00:16:41,600 --> 00:16:45,500 And then I started going through our catalog. 197 00:16:45,500 --> 00:16:47,166 And we found a match. 198 00:16:47,166 --> 00:16:50,866 So you can see that this scar here, for example, is represented here. 199 00:16:50,866 --> 00:16:55,266 This big line here, starting out thick and getting thin, is represented here. 200 00:16:55,266 --> 00:16:58,233 This little white scar is here. 201 00:16:58,233 --> 00:17:03,233 This is from March 10th, 2019, the new photograph. 202 00:17:03,233 --> 00:17:08,233 And this is February 20th, 2006, so that represents a 14 year span. 203 00:17:10,900 --> 00:17:15,900 And if we continue to go back in the catalog, we can begin to start tracing the full life 204 00:17:17,900 --> 00:17:22,633 history of this whale as it's been seen in Hawai, which is incredible to trace that 205 00:17:23,233 --> 00:17:24,500 life history. 206 00:17:24,500 --> 00:17:26,500 And it makes you fall in love with these animals. 207 00:17:26,500 --> 00:17:31,333 And as a scientist, it makes me want to learn more about them, so that I could then teach 208 00:17:32,100 --> 00:17:33,133 about them to others. 209 00:17:33,133 --> 00:17:36,666 So they care about them. 210 00:17:36,666 --> 00:17:41,566 There's our animal ahead of us, 12 o'clock 211 00:17:41,566 --> 00:17:43,666 50 yards. 212 00:17:43,666 --> 00:17:48,533 Unlike other whale species, humpbacks do not stay together in permanent pods, but instead 213 00:17:50,766 --> 00:17:54,233 associate in various temporary social groupings. 214 00:17:54,233 --> 00:17:58,933 They'll be together from anywhere from a few hours to maybe to a couple of days 215 00:17:58,933 --> 00:18:01,033 or so at a time. 216 00:18:01,033 --> 00:18:04,833 When you're in the breeding grounds one of the most common pod types that you'll see 217 00:18:04,833 --> 00:18:07,933 are mothers with newborn calves. 218 00:18:07,933 --> 00:18:12,566 Often you'll see a pair of whales and most often that pair is composed of a male and 219 00:18:13,166 --> 00:18:14,366 a female. 220 00:18:14,366 --> 00:18:15,633 Females without calves are very coveted. 221 00:18:16,366 --> 00:18:18,400 They're prized by males. 222 00:18:18,400 --> 00:18:22,766 The competitive pod is where you have a female that has multiple males that are trying 223 00:18:23,900 --> 00:18:27,533 to effectively gain exclusive access to her. 224 00:18:27,533 --> 00:18:32,333 The whale that at that point has access to her, we call the primary escort. 225 00:18:32,333 --> 00:18:37,333 And then you have multiple whales, usually in the periphery, who are the so-called secondary 226 00:18:37,900 --> 00:18:39,933 escorts. 227 00:18:39,933 --> 00:18:43,333 And some of them will become active challengers to the principal escort. 228 00:18:43,333 --> 00:18:47,466 He may do all these displays, right, to show his strengths. 229 00:18:47,466 --> 00:18:52,466 And so these include things like blocking behavior by the male closest to the female, 230 00:18:54,366 --> 00:18:58,233 a head lunge, or blowing a trail of bubbles from the blowhole, to more vigorous contest 231 00:19:00,300 --> 00:19:04,733 competition in which the male will go chase a secondary escort or will go and will strike it 232 00:19:07,233 --> 00:19:12,233 hard with its body or its tail flukes, sometimes causing injury, blood. 233 00:19:14,733 --> 00:19:17,633 And these are all efforts by the male to effectively kind of discourage other males from coming 234 00:19:19,066 --> 00:19:23,233 in and trying to dislodge him from his position with a female. 235 00:19:23,233 --> 00:19:28,233 So these displays, whether they be these sort of physical displays that we observe or the 236 00:19:30,266 --> 00:19:33,866 song, maybe ways that competitors use to sort of gauge each other and to determine whether 237 00:19:36,600 --> 00:19:41,600 it's really worth it to go in and try to take that other whale on physically. 238 00:19:42,733 --> 00:19:44,833 Keep your eyes open, now, though. 239 00:19:44,833 --> 00:19:47,566 Okay, I've got starboard beam. 240 00:19:47,566 --> 00:19:49,733 Port beam. 241 00:19:49,733 --> 00:19:54,733 To further study the various pod types and behaviors, the experts also place acoustic 242 00:19:55,933 --> 00:19:59,033 suction cup tags on whales. 243 00:19:59,033 --> 00:20:00,966 We have to get quite close to the whale. 244 00:20:00,966 --> 00:20:02,433 This is good speed. This is good speed. 245 00:20:02,433 --> 00:20:04,366 Let's see if he takes a couple of breaths. 246 00:20:04,366 --> 00:20:07,166 And we have to reach out with a long pole 247 00:20:07,166 --> 00:20:10,533 to actually physically attach the tag to the whale. 248 00:20:10,533 --> 00:20:15,533 The whole tagging process, it is both exhilarating and, and also a fairly stressful. 249 00:20:16,666 --> 00:20:18,133 A whale right here and a whale up ahead. 250 00:20:18,133 --> 00:20:21,266 Second whale is closer at the surface, stand by. 251 00:20:21,266 --> 00:20:23,833 Wait, he's turning, turning. 252 00:20:25,700 --> 00:20:30,033 So once the tag is successfully on, as you can imagine, the first thing that happens 253 00:20:30,766 --> 00:20:31,733 is, there's a big cheer. 254 00:20:31,733 --> 00:20:35,566 Yes. Good job! 255 00:20:35,566 --> 00:20:38,566 The next step is to follow the whale with the 256 00:20:38,566 --> 00:20:42,166 tag and keep up with the tag, because it's an expensive tag 257 00:20:42,166 --> 00:20:44,233 and we don't want to lose it. 258 00:20:44,233 --> 00:20:48,033 We typically only get a glimpse of the whales while they're at the surface, so we can only 259 00:20:50,033 --> 00:20:52,166 really see behaviorally what they're doing when they're within our visual view. 260 00:20:52,166 --> 00:20:57,100 But the tag has specialized sensors that actually measure the motion of the whale. 261 00:20:57,100 --> 00:21:01,766 So we can look at the diving pattern, but also how the whale is moving through the water. 262 00:21:01,766 --> 00:21:06,566 It has what are called tri-axial accelerometers, which measure the whale's movement in three 263 00:21:06,566 --> 00:21:08,866 dimensions. 264 00:21:08,866 --> 00:21:11,133 And then along with all of that are the acoustics. 265 00:21:11,133 --> 00:21:14,100 What are the sounds that are produced? 266 00:21:14,100 --> 00:21:18,333 What's their nature, what's their frequency, how loud are they and when are they produced? 267 00:21:18,333 --> 00:21:22,266 Are they produced as a whale is moving rapidly through the water, are they produced while 268 00:21:22,266 --> 00:21:26,300 the whale is diving or are they more frequent when the whale is resting or coming to the 269 00:21:26,300 --> 00:21:27,300 surface? 270 00:21:29,266 --> 00:21:32,333 It appears that there's a wide variety of social sounds that these animals produce. 271 00:21:33,066 --> 00:21:35,800 That's fascinating. 272 00:21:37,833 --> 00:21:40,800 The scientists closely follow a tagged whale using a VHF transmitter that can pick up sound 273 00:21:42,266 --> 00:21:47,033 signals from the tag when the whale is at the surface. 274 00:21:47,800 --> 00:21:49,333 We pick up some beeps. 275 00:21:49,333 --> 00:21:52,433 Once it goes back down, then it goes silent again. 276 00:21:52,433 --> 00:21:56,966 And at that point we effectively kind of lose all control over what happens next. 277 00:21:56,966 --> 00:22:00,700 And that's the part that can get a little bit stressful because the whale can then go 278 00:22:00,700 --> 00:22:02,966 wherever he or she decides to go. 279 00:22:02,966 --> 00:22:05,666 It can go into rough waters where we can't follow it. 280 00:22:05,666 --> 00:22:10,533 If the tag stays on for extended periods, for example, overnight, we can't continue 281 00:22:10,533 --> 00:22:12,133 to follow the whale. 282 00:22:12,133 --> 00:22:16,133 More often than not though, the tag will stay on for a few hours. 283 00:22:16,133 --> 00:22:21,133 Tag came off. Do you see it? I don't see it. 284 00:22:22,766 --> 00:22:27,166 It's right here. Right here at 5 o'clock. We went right by it. 285 00:22:27,166 --> 00:22:31,833 Once the tag falls off, it's designed so that it will sort of bob up and down in the water 286 00:22:33,866 --> 00:22:36,833 and expose the antenna and then we get continuous beeps and that is a cue that tells us, okay, 287 00:22:38,400 --> 00:22:39,966 the tag's fallen off the whale. 288 00:22:39,966 --> 00:22:42,000 Now we have to go into recovery mode. 289 00:22:42,000 --> 00:22:45,933 And of course that's the gem right there, right? 290 00:22:45,933 --> 00:22:50,166 And we go back to the laboratory and then we download that data. 291 00:22:50,166 --> 00:22:51,633 It's coming right here. 292 00:22:51,633 --> 00:22:52,966 There's another one in front of us 12 o'clock. 293 00:22:52,966 --> 00:22:56,600 Okay, let's try to pace this guy. 294 00:22:56,600 --> 00:22:58,533 We may want to go for the second whale right here. 295 00:22:58,533 --> 00:22:59,233 Stand by. 296 00:22:59,233 --> 00:23:00,633 Let him commit. 297 00:23:00,633 --> 00:23:01,833 Stand by. 298 00:23:01,833 --> 00:23:03,833 Okay, here we go. 299 00:23:05,666 --> 00:23:08,733 We got her, tag on. 300 00:23:08,733 --> 00:23:10,800 Tag on, good job. 301 00:23:10,800 --> 00:23:15,800 More tags will need to be deployed on different animals found in a variety of pod settings 302 00:23:17,833 --> 00:23:21,266 to answer some of the deeper questions, but the experts can already glean some information 303 00:23:22,133 --> 00:23:24,633 from the whales' tagged so far. 304 00:23:24,633 --> 00:23:29,233 One of the sort of data streams that we can look at from the tag is the animals' dive 305 00:23:29,233 --> 00:23:31,300 profile. 306 00:23:31,300 --> 00:23:35,233 The tag went on here at the beginning of the file and the whale did some dives down to 307 00:23:36,300 --> 00:23:38,433 about 70 or 80 meters or so. 308 00:23:38,433 --> 00:23:42,600 At the time, this whale was still affiliated with another whale. 309 00:23:42,600 --> 00:23:47,600 And then the two whales separated and our whale with the tag started to sing. 310 00:23:49,033 --> 00:23:52,666 He did that multiple cycles, for a few hours at a time. 311 00:23:52,666 --> 00:23:57,666 And then later in the afternoon, he stopped singing and he started to affiliate with some 312 00:23:57,666 --> 00:23:59,800 other whales. 313 00:23:59,800 --> 00:24:03,166 And you can now see that the dive profile becomes much more erratic and you can see 314 00:24:03,166 --> 00:24:06,366 evidence of the animal interacting with other whales. 315 00:24:06,366 --> 00:24:10,333 Then at some point in the night he went back to singing again. 316 00:24:10,333 --> 00:24:15,333 So this kind of gives us a glimpse of at least a portion of the animal's day and how much 317 00:24:17,166 --> 00:24:21,666 time this whale, at least, spent singing versus interacting with other whales. 318 00:24:23,666 --> 00:24:28,600 And it's this kind of information that, to us, is very interesting and useful because as 319 00:24:30,600 --> 00:24:33,666 we collect more and more of these data, we can start to build kind of a picture of how 320 00:24:35,633 --> 00:24:39,366 these animals are spending their time, how much of their time do they have to spend resting 321 00:24:40,766 --> 00:24:44,566 versus actively engaged in competition with other whales. 322 00:24:47,933 --> 00:24:51,433 Many mysteries remain. 323 00:24:51,433 --> 00:24:56,433 Humpback whales are charismatic animals that have long beguiled humans with their moving 324 00:24:58,400 --> 00:25:01,800 song and thrilling displays - including the dedicated scientists striving to unlock 325 00:25:06,833 --> 00:25:11,833 the secrets of these giant, ancient mariners. 326 00:25:13,266 --> 00:25:17,133 Humpback whales are an integral part of the marine ecosystem. 327 00:25:17,133 --> 00:25:20,333 Because they are feeding on schooling fish, 328 00:25:20,333 --> 00:25:21,600 as well as krill, 329 00:25:21,600 --> 00:25:24,166 they're what we call a sentinel species. 330 00:25:25,600 --> 00:25:28,433 So they are a reflection of the health of the oceans. 331 00:25:28,433 --> 00:25:33,433 And so it's important that we not only understand their role in the ecosystem, but that we 332 00:25:34,500 --> 00:25:37,733 maintain healthy population. 333 00:25:37,733 --> 00:25:42,733 lama kohol- please take care of the whale. 334 00:26:11,566 --> 00:26:16,566 Major funding for this program was provided by the Batchelor Foundation, 335 00:26:18,333 --> 00:26:21,766 encouraging people to preserve and protect America's underwater resources 336 00:26:23,300 --> 00:26:28,300 And by The William J. & Tina Rosenberg Foundation, 337 00:26:29,700 --> 00:26:34,033 the Do Unto Others Trust, and by the following.