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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:25,902 --> 00:00:28,321 {\an8}Over the last three years, 2 00:00:28,321 --> 00:00:32,033 the Earthsounds team has captured the sounds of the natural world 3 00:00:32,534 --> 00:00:37,205 across all seven continents like never before. 4 00:00:38,540 --> 00:00:39,958 That's a lovely rumble. 5 00:00:41,918 --> 00:00:46,298 But these recordings tell a bigger story. 6 00:00:47,257 --> 00:00:52,053 As our planet faces climate change and is losing wildlife... 7 00:00:54,180 --> 00:00:56,725 we're discovering that listening to nature... 8 00:00:58,852 --> 00:01:00,270 Wow, this is brilliant. 9 00:01:01,396 --> 00:01:05,442 ...could provide vital clues to help us protect it. 10 00:01:07,444 --> 00:01:09,654 In this special episode... 11 00:01:09,654 --> 00:01:11,781 There it is. Yeah. Right there. 12 00:01:14,284 --> 00:01:21,041 ...we follow scientists who are using sound in revolutionary ways... 13 00:01:23,460 --> 00:01:26,129 to help save endangered species 14 00:01:27,172 --> 00:01:29,925 and our wildest places. 15 00:01:39,893 --> 00:01:43,480 The pioneering idea of using sound for conservation 16 00:01:44,606 --> 00:01:50,403 started 50 years ago with sound recording legend Bernie Krause. 17 00:01:53,073 --> 00:01:54,616 And we're recording. 18 00:01:56,701 --> 00:02:00,705 Bernie has been returning to Sugarloaf Ridge State Park in California 19 00:02:00,705 --> 00:02:03,333 at the same time each spring 20 00:02:04,292 --> 00:02:08,629 to capture a sonic snapshot of the entire habitat. 21 00:02:08,629 --> 00:02:10,924 What we're doing is recording the dawn chorus 22 00:02:10,924 --> 00:02:13,176 and the dawn chorus is the time of day 23 00:02:13,176 --> 00:02:17,722 when the animals really express themselves at their most vital. 24 00:02:20,475 --> 00:02:22,769 It's a magical moment. 25 00:02:24,604 --> 00:02:27,107 Well, right now I'm hearing California quail. 26 00:02:29,401 --> 00:02:30,569 Song sparrows. 27 00:02:33,572 --> 00:02:38,493 I'm hearing a pileated woodpecker knocking in the background. 28 00:02:38,493 --> 00:02:40,245 And let's see what else? 29 00:02:40,245 --> 00:02:42,038 I hear my stomach rumbling. 30 00:02:45,083 --> 00:02:49,462 These natural sounds are known as a biophony, 31 00:02:50,088 --> 00:02:52,257 the richness of a soundscape. 32 00:02:52,257 --> 00:02:56,386 This biophony is the sound of the natural world. It's its voice. 33 00:02:56,386 --> 00:02:58,138 When it sounds robust, 34 00:02:58,138 --> 00:03:00,974 when all the animals have a place in the choir, 35 00:03:02,350 --> 00:03:03,685 it's a healthy habitat. 36 00:03:03,685 --> 00:03:05,896 When they don't, it's not. 37 00:03:11,860 --> 00:03:14,112 The importance of Bernie's recordings 38 00:03:14,112 --> 00:03:18,950 became clear when disaster struck California's forests. 39 00:03:18,950 --> 00:03:23,872 Well, in October 2017, there was a huge fire. 40 00:03:25,957 --> 00:03:30,337 California's Thomas Fire already more than 270 square miles. 41 00:03:31,713 --> 00:03:35,175 And 70% of this part was burned. 42 00:03:37,177 --> 00:03:39,387 The destruction was extreme. 43 00:03:42,682 --> 00:03:46,436 But clues that the forests were already suffering from a warming climate 44 00:03:47,312 --> 00:03:51,858 can be heard in the bird song years before the fires hit. 45 00:03:51,858 --> 00:03:55,737 Right now, we're looking at soundscapes from Sugarloaf Ridge State Park 46 00:03:55,737 --> 00:03:58,823 and what we have on the screen is a spectrogram, 47 00:03:58,823 --> 00:04:01,117 a graphic illustration of sound. 48 00:04:01,117 --> 00:04:05,038 And what I'm showing is the change that's occurred over time 49 00:04:05,038 --> 00:04:07,165 as a result of climate change. 50 00:04:09,584 --> 00:04:14,965 When Bernie's study started, Sugarloaf Ridge was full of life. 51 00:04:21,555 --> 00:04:25,600 In 1993, the density and diversity of the birds is fabulous. 52 00:04:29,062 --> 00:04:32,816 There are probably 20, maybe 25, different species of birds. 53 00:04:34,651 --> 00:04:37,195 But as California's climate warmed up, 54 00:04:37,779 --> 00:04:39,698 the bird song started to change. 55 00:04:39,698 --> 00:04:44,661 When we move to 2014, the birds have dropped off precipitously. 56 00:04:49,833 --> 00:04:54,337 Now, Bernie was picking up only a quarter of what was there before. 57 00:04:56,798 --> 00:04:59,009 Hardly hear anything at all. 58 00:05:01,595 --> 00:05:03,847 This was an early warning 59 00:05:03,847 --> 00:05:06,558 that the forests were dangerously heating up 60 00:05:07,058 --> 00:05:09,436 and worse was to come. 61 00:05:10,896 --> 00:05:15,442 So, when we get to 2015, things have really changed. 62 00:05:15,442 --> 00:05:19,905 We have finally come to what I call a silent spring. 63 00:05:25,911 --> 00:05:28,455 There are almost no birds. 64 00:05:33,460 --> 00:05:37,005 It's the first time in my life I've ever heard a silent spring. 65 00:05:39,841 --> 00:05:45,764 We're just losing all of this wonderful orchestra. 66 00:05:47,599 --> 00:05:51,853 Eight of the ten hottest years ever recorded in California 67 00:05:52,437 --> 00:05:54,606 have been in the last decade. 68 00:05:59,027 --> 00:06:02,239 But Bernie's studies show if we listen to nature, 69 00:06:03,531 --> 00:06:07,702 we can hear powerful clues about the health of our wild places. 70 00:06:09,246 --> 00:06:14,960 After 50 years of this work, I'm just seeing and hearing less and less. 71 00:06:14,960 --> 00:06:17,003 And it's not because I'm losing my hearing. 72 00:06:17,629 --> 00:06:20,840 It's because these things are going really fast, 73 00:06:21,716 --> 00:06:24,803 and we've got to figure out a way to protect that. 74 00:06:30,475 --> 00:06:34,354 One solution could lie in taking Bernie's approach 75 00:06:35,855 --> 00:06:41,361 and supersizing it in the wildest places on the planet. 76 00:06:44,447 --> 00:06:49,744 Tropical forests are home to more endangered species than anywhere else. 77 00:06:55,625 --> 00:07:02,465 But each year over 20 million acres of forest are cut down, 78 00:07:02,465 --> 00:07:05,135 putting animals under increasing pressure. 79 00:07:09,764 --> 00:07:12,350 I think we may have found our tree. 80 00:07:12,350 --> 00:07:13,685 - That one? - Yeah. 81 00:07:16,354 --> 00:07:17,981 To help protect them, 82 00:07:17,981 --> 00:07:23,653 conservation group Rainforest Connection is taking sound recording to another level 83 00:07:24,613 --> 00:07:27,991 in a new branch of acoustic science. 84 00:07:27,991 --> 00:07:30,911 Bioacoustics is the study of species through sound. 85 00:07:31,494 --> 00:07:33,747 Majority of the species are vocal. 86 00:07:34,247 --> 00:07:38,793 Being able to listen and understand why they're vocalizing, 87 00:07:38,793 --> 00:07:41,463 it's a really amazing way of ultimately conserving them. 88 00:07:42,672 --> 00:07:45,800 Bourhan Yassin and Kris Harmon 89 00:07:45,800 --> 00:07:50,138 want to track Puerto Rico's noisiest forest residents, 90 00:07:50,805 --> 00:07:54,476 especially one of the world's rarest birds, 91 00:07:54,476 --> 00:07:56,561 the Puerto Rican parrot. 92 00:07:56,561 --> 00:07:59,773 The reason that we're monitoring the parrot, it's critically endangered. 93 00:07:59,773 --> 00:08:01,775 There are only a handful that are left, 94 00:08:01,775 --> 00:08:04,527 so it's really important to know what is going on with them. 95 00:08:05,612 --> 00:08:10,575 They plan to do this by miking up 4,000 acres 96 00:08:11,243 --> 00:08:13,536 in Rio Abajo State Forest, 97 00:08:13,536 --> 00:08:17,332 using a network of high-tech recorders called guardians. 98 00:08:18,208 --> 00:08:21,962 The guardian device is a mobile computer in the middle of the forest. 99 00:08:21,962 --> 00:08:25,215 So it has a lot of capability to not just record audio 100 00:08:25,215 --> 00:08:28,593 but also understand its surrounding and analyze the audio. 101 00:08:28,593 --> 00:08:32,597 There's a microphone that gets plugged in in the front of the box. 102 00:08:38,395 --> 00:08:41,188 To eavesdrop on the entire forest, 103 00:08:41,898 --> 00:08:44,109 the best place to position the recorders... 104 00:08:44,109 --> 00:08:45,151 Incoming. 105 00:08:50,657 --> 00:08:54,953 ...is over 100 feet up at the top of the canopy. 106 00:09:06,214 --> 00:09:07,591 Kris, can you hear me okay? 107 00:09:07,591 --> 00:09:10,343 - Yeah, I've got you. No problem. - I don't think I can go any higher. 108 00:09:10,343 --> 00:09:13,054 I have a beautiful view of the valley in front of me. 109 00:09:13,054 --> 00:09:15,640 - We'll get started on the installation. - Awesome. Good luck. 110 00:09:25,734 --> 00:09:27,819 Just doing a quick mic test on the guardian mic. 111 00:09:27,819 --> 00:09:29,613 Yeah, that came through crystal clear. 112 00:09:29,613 --> 00:09:30,864 - You're good. - Awesome. 113 00:09:30,864 --> 00:09:32,490 I think we're good to go man. 114 00:09:37,579 --> 00:09:40,040 This is the first guardian installed in Rio Abajo. 115 00:09:40,040 --> 00:09:41,124 How cool is that? 116 00:09:42,042 --> 00:09:44,586 No, that's perfect. Honestly, couldn't ask for better. 117 00:09:48,506 --> 00:09:52,052 Each device can detect sounds from up to a mile away 118 00:09:53,303 --> 00:09:58,058 and uses artificial intelligence to pick out the calls of specific animals. 119 00:10:00,894 --> 00:10:04,522 The AI is running, and we have it set to pick up I think 40 different species 120 00:10:04,522 --> 00:10:06,524 and automatically identify those. 121 00:10:06,524 --> 00:10:09,611 So instead of any of us having to go in and look for anything 122 00:10:09,611 --> 00:10:13,573 and sort of manually find the species, the model is constantly running, 123 00:10:13,573 --> 00:10:16,117 and so, we'll have output really 24-7. 124 00:10:18,119 --> 00:10:19,788 As well as Puerto Rico, 125 00:10:19,788 --> 00:10:24,167 this technology is up and running in 35 countries, 126 00:10:25,085 --> 00:10:29,256 constantly listening for the calls of over 3,000 species. 127 00:10:34,928 --> 00:10:38,765 But the guardians can do something even more amazing. 128 00:10:41,268 --> 00:10:45,313 They can pick out the telltale sounds of illegal logging 129 00:10:46,648 --> 00:10:50,235 and send an alert to rangers on the ground. 130 00:10:50,235 --> 00:10:52,904 There is no other system, that I'm aware of, 131 00:10:52,904 --> 00:10:56,533 where within a handful of minutes you can detect a threat, 132 00:10:57,158 --> 00:11:02,664 send a message to enforcement, and have a patrol respond to that threat. 133 00:11:12,173 --> 00:11:16,094 Detecting the calls of animals and illegal logging 134 00:11:16,094 --> 00:11:19,055 in dense jungle is remarkable. 135 00:11:24,436 --> 00:11:26,104 But off the coast of Hawaii, 136 00:11:27,105 --> 00:11:30,525 cutting-edge technology is also being used 137 00:11:32,110 --> 00:11:34,988 to follow the ocean's greatest singers. 138 00:11:39,951 --> 00:11:44,789 Humpback whales are the Pacific's long-distance travelers. 139 00:11:50,170 --> 00:11:53,924 But to protect them, we need to know where they roam. 140 00:11:56,176 --> 00:11:59,512 They're known to migrate from their Hawaiian breeding grounds 141 00:11:59,512 --> 00:12:05,185 thousands of miles to their northern feeding grounds. 142 00:12:09,189 --> 00:12:13,193 But where else they travel is largely a mystery. 143 00:12:21,201 --> 00:12:23,453 All right. You guys, are you ready? 144 00:12:23,453 --> 00:12:24,871 - We're ready. - All right. 145 00:12:24,871 --> 00:12:27,123 Cool. We're ready to rock and roll here. 146 00:12:27,123 --> 00:12:28,792 So excited to do this. 147 00:12:31,461 --> 00:12:34,297 And marine biologist Beth Goodwin and her team 148 00:12:35,131 --> 00:12:37,050 are hoping to solve this... 149 00:12:37,050 --> 00:12:38,134 Oh, yeah. 150 00:12:38,802 --> 00:12:43,014 ...by tracking the humpbacks using their remarkable song. 151 00:12:47,060 --> 00:12:48,228 This is great. 152 00:12:48,228 --> 00:12:52,649 These whales are going off, they're groaning and creaking and... 153 00:12:56,736 --> 00:13:00,156 You know, when I listen to these songs, I am just in awe, 154 00:13:01,116 --> 00:13:02,367 but I'd like to know more. 155 00:13:04,286 --> 00:13:06,329 To find out where the whales travel 156 00:13:07,664 --> 00:13:10,959 means searching thousands of miles of open ocean... 157 00:13:12,836 --> 00:13:16,047 ...and conventional technology just won't work. 158 00:13:17,048 --> 00:13:19,301 We've developed tracking devices, 159 00:13:19,301 --> 00:13:21,928 tags, that you can put on the humpback whale. 160 00:13:21,928 --> 00:13:25,307 But those tags, they don't last four or five months. 161 00:13:31,479 --> 00:13:34,733 So they've come up with an ingenious sonic solution. 162 00:13:34,733 --> 00:13:36,276 Murray, I'm taking the break off. 163 00:13:37,277 --> 00:13:39,112 Going down, Europa. 164 00:13:42,949 --> 00:13:48,079 A self-propelled, acoustic probe called a Wave Glider 165 00:13:48,079 --> 00:13:51,750 that can travel across oceans for up to a year at a time. 166 00:13:53,293 --> 00:13:57,422 A Wave Glider is a two-part vehicle that has a surface component, 167 00:13:57,422 --> 00:14:00,842 and it's attached to an underwater part. 168 00:14:00,842 --> 00:14:02,219 We call it the sub. 169 00:14:02,928 --> 00:14:06,389 The sub has six set of wings or fins. 170 00:14:06,389 --> 00:14:09,476 The float's not steering, it's literally just a bobber, 171 00:14:09,476 --> 00:14:14,022 and as it bobs these wings are kind of going up and down all the time. 172 00:14:14,022 --> 00:14:18,193 And it just takes the tiniest bit of ripple in the water for it to move. 173 00:14:19,819 --> 00:14:25,825 What's really cool is we've attached a smart hydrophone underneath the sub 174 00:14:26,743 --> 00:14:32,082 so we can download and listen where the Wave Glider is and what she's hearing. 175 00:14:32,874 --> 00:14:34,042 Okay. Are you ready? 176 00:14:36,878 --> 00:14:40,423 This Wave Glider, nicknamed Europa, 177 00:14:40,423 --> 00:14:46,304 is heading out to search 5,000 miles of ocean between Hawaii and Mexico. 178 00:14:49,349 --> 00:14:55,981 What are the odds of this ten-foot-long, autonomous vehicle intersecting a whale? 179 00:14:55,981 --> 00:14:58,525 I mean, really, it's like searching for a needle in a haystack. 180 00:14:58,525 --> 00:14:59,568 Ready? 181 00:14:59,568 --> 00:15:00,652 - Ready. - Yup. 182 00:15:02,195 --> 00:15:04,114 And the time has come... 183 00:15:06,866 --> 00:15:08,743 to set it off. 184 00:15:08,743 --> 00:15:10,245 And there she goes. 185 00:15:12,872 --> 00:15:13,707 Wow. 186 00:15:17,043 --> 00:15:18,044 We did it. 187 00:15:19,045 --> 00:15:21,756 - Wow. - Have a good trip, Europa! 188 00:15:23,133 --> 00:15:25,135 In five months' time, 189 00:15:25,135 --> 00:15:28,179 if Europa can navigate safely back to Hawaii... 190 00:15:30,432 --> 00:15:35,520 it could redefine what we know about where these ocean giants roam. 191 00:15:53,872 --> 00:15:55,832 On the other side of the planet... 192 00:15:59,836 --> 00:16:05,383 another pioneering acoustic project is gathering vital clues... 193 00:16:08,345 --> 00:16:12,474 to help save one of the world's rarest predators. 194 00:16:17,103 --> 00:16:19,147 African wild dogs. 195 00:16:22,525 --> 00:16:28,573 Less than 700 packs are left in the wild and their numbers are dropping. 196 00:16:30,325 --> 00:16:33,495 In recent years, their home in Southern Africa 197 00:16:33,495 --> 00:16:39,376 has experienced more frequent and intense heat waves because of climate change. 198 00:16:43,838 --> 00:16:47,425 Scientists believe this could be contributing to their decline... 199 00:16:50,303 --> 00:16:52,556 and that's where sound can help. 200 00:16:59,187 --> 00:17:00,897 If you see a wild dog let me know. 201 00:17:02,315 --> 00:17:05,151 Kasim Rafiq from the University of Washington 202 00:17:06,151 --> 00:17:09,447 is teaming up with conservation group Wild Entrust... 203 00:17:09,447 --> 00:17:11,741 Okay. Let's go see the dogs. 204 00:17:12,324 --> 00:17:17,706 ...to identify the most important places wild dogs hunt and raise their pups 205 00:17:19,165 --> 00:17:22,585 by tapping into their highly chatty nature. 206 00:17:23,795 --> 00:17:26,756 Sound is a key way in which the animals of this area communicate. 207 00:17:26,756 --> 00:17:29,718 But it's also a key way for us as researchers 208 00:17:29,718 --> 00:17:31,428 to understand what's happening. 209 00:17:32,762 --> 00:17:35,181 But tracking fast-moving predators 210 00:17:35,765 --> 00:17:40,770 that roam over 500 square miles is no easy task. 211 00:17:41,688 --> 00:17:43,982 African wild dogs are very, very hard to follow 212 00:17:45,066 --> 00:17:48,528 because they move very, very fast across these landscapes 213 00:17:48,528 --> 00:17:50,280 that are dotted with these massive holes 214 00:17:50,280 --> 00:17:53,116 from elephants and, like, aardvarks and warthogs. 215 00:17:53,116 --> 00:17:55,952 And often if you try and follow them when they're hunting... 216 00:17:57,662 --> 00:17:59,623 you just drive your Land Rover straight into it. 217 00:18:00,832 --> 00:18:03,501 So the team has come up with a novel approach: 218 00:18:04,169 --> 00:18:08,215 miking up the dogs with a lightweight, acoustic collar. 219 00:18:08,798 --> 00:18:11,509 A normal wildlife tracking collar tells us where the animals are going, 220 00:18:12,636 --> 00:18:15,305 but it doesn't tell us what the animals are doing in those areas. 221 00:18:15,305 --> 00:18:18,308 The acoustic part... So, it's a little box that we designed 222 00:18:18,308 --> 00:18:21,519 and that fits onto the side of a normal wildlife tracking collar, 223 00:18:21,519 --> 00:18:24,773 and it allows us to hear exactly what the animals are getting up to. 224 00:18:27,025 --> 00:18:28,735 Using these acoustic collars, 225 00:18:28,735 --> 00:18:32,781 the team will be able to monitor the pack 24-7. 226 00:18:35,200 --> 00:18:38,578 But first, they need to find a healthy adult to collar. 227 00:18:38,578 --> 00:18:40,121 They're probably under there. 228 00:18:40,121 --> 00:18:44,793 And vet Rob Jackson and Kasim know just the individual. 229 00:18:47,295 --> 00:18:49,256 Let me just ID the dog first. 230 00:18:49,256 --> 00:18:51,424 Where is Jessie? 231 00:18:53,927 --> 00:18:56,471 One of the pack's large males, Jessie, 232 00:18:56,972 --> 00:18:59,975 will give them the best chance to eavesdrop 233 00:18:59,975 --> 00:19:02,769 into the heart of wild dog family life. 234 00:19:02,769 --> 00:19:06,523 - Okay, well, can we dart? - Yeah. 235 00:19:11,486 --> 00:19:15,949 The anesthetic dart is harmless and will sedate him for 20 minutes. 236 00:19:16,908 --> 00:19:18,994 Okay, have you got that blindfold? 237 00:19:18,994 --> 00:19:20,704 Okay, you can come out, Kas. 238 00:19:20,704 --> 00:19:23,164 Let's get the collar on, let's get the dart out. 239 00:19:24,958 --> 00:19:27,961 It's a chance to give Jessie a health check. 240 00:19:28,461 --> 00:19:32,632 The teeth gives an indication of how healthy it is. 241 00:19:32,632 --> 00:19:36,720 They should be very strong to bring down their preys and stuff. 242 00:19:41,224 --> 00:19:44,686 Yeah, he's moving. Perfect. 243 00:19:46,563 --> 00:19:49,399 He's breathing nicely. He appears healthy. 244 00:19:49,399 --> 00:19:50,692 All good. 245 00:19:53,320 --> 00:19:57,616 The onboard mic starts picking up the family's most intimate calls... 246 00:19:59,576 --> 00:20:01,661 closer than ever before. 247 00:20:15,884 --> 00:20:17,260 A few days later, 248 00:20:17,260 --> 00:20:21,806 the collar captures a key sound that the team has been hoping for. 249 00:20:24,601 --> 00:20:26,102 One of my favorite vocalizations 250 00:20:26,102 --> 00:20:28,980 occurs when the wild dogs are getting ready to move. 251 00:20:28,980 --> 00:20:31,900 They create this weird sound that sounds like birds twittering. 252 00:20:31,900 --> 00:20:34,152 And I love that for two reasons. 253 00:20:34,152 --> 00:20:36,529 One, you get, like, caught up in the emotion of it. 254 00:20:36,529 --> 00:20:39,366 And two, it means that something really exciting is gonna happen. 255 00:20:40,242 --> 00:20:43,286 This twittering call is a sign the pack... 256 00:20:43,286 --> 00:20:45,455 - Let's go. - ...is preparing to hunt. 257 00:20:50,168 --> 00:20:52,212 Mike, Mike, you can follow us. 258 00:20:53,838 --> 00:20:58,134 The dogs can cover up to five miles of rough ground on a hunt, 259 00:20:59,594 --> 00:21:02,514 and Kasim knows he can't track them for long. 260 00:21:04,224 --> 00:21:06,142 It looks like they spotted something. 261 00:21:07,978 --> 00:21:09,813 Yeah, impala, impala. 262 00:21:09,813 --> 00:21:11,815 I think we might lose them. 263 00:21:12,315 --> 00:21:15,944 Now, the acoustic collar comes into its own. 264 00:21:27,414 --> 00:21:31,001 The GPS tracks exactly where the dogs go... 265 00:21:33,670 --> 00:21:38,341 and the microphone reveals key information about their behavior. 266 00:21:40,552 --> 00:21:43,263 This time, a successful hunt. 267 00:21:54,941 --> 00:21:59,321 Over five months, the team collects 900 hours of audio. 268 00:22:01,740 --> 00:22:04,075 And by listening to the dogs around the clock, 269 00:22:04,701 --> 00:22:09,247 these onboard recordings will help them better understand 270 00:22:09,247 --> 00:22:14,586 how the pack's ability to hunt is being affected by rising temperatures. 271 00:22:15,503 --> 00:22:19,216 The acoustic collars are gonna give us this ability 272 00:22:19,216 --> 00:22:21,676 to translate exactly what the animals have been doing. 273 00:22:22,469 --> 00:22:25,388 And I think that's really important because it's gonna give us insights 274 00:22:25,388 --> 00:22:29,017 into how climate change is impacting the ability of these animals to survive. 275 00:22:29,017 --> 00:22:30,602 And that's very, very exciting. 276 00:22:38,109 --> 00:22:42,530 From the African Savannah to the polar ice caps... 277 00:22:45,492 --> 00:22:51,414 the impacts of climate change are being seen and heard across the planet. 278 00:22:55,961 --> 00:23:00,966 Temperatures in the Arctic are rising four times faster than anywhere else. 279 00:23:02,676 --> 00:23:07,847 The loss of ice is affecting wildlife and raising sea levels. 280 00:23:09,766 --> 00:23:12,394 But it's also creating another problem. 281 00:23:18,567 --> 00:23:20,777 Ocean noise pollution. 282 00:23:24,990 --> 00:23:27,951 As the Arctic ice cap thins and shrinks, 283 00:23:29,035 --> 00:23:32,998 shipping lanes are opening up in places never possible before. 284 00:23:36,793 --> 00:23:38,336 For Arctic wildlife, 285 00:23:39,045 --> 00:23:42,632 the dramatic increase in ships is disastrous. 286 00:23:48,138 --> 00:23:52,100 It's something that Norwegian sound recordist, Jana Winderen, 287 00:23:52,100 --> 00:23:56,438 is experiencing in her work to capture the sounds of the Arctic's animals... 288 00:24:04,070 --> 00:24:07,741 including its most endearing heavyweights... 289 00:24:11,661 --> 00:24:12,662 walrus. 290 00:24:14,080 --> 00:24:16,166 The breeding season is approaching, 291 00:24:16,166 --> 00:24:20,921 and Jana is hoping to record their incredible underwater calls. 292 00:24:29,471 --> 00:24:31,389 There is a knocking sound. 293 00:24:34,267 --> 00:24:37,354 I can hear them really well, but I can't see it just right now. 294 00:24:39,689 --> 00:24:42,359 Tick, tick, tick, tick, tick, tick, tick. Like this. 295 00:24:48,073 --> 00:24:50,533 That is the courtship sound of the walrus. 296 00:24:52,535 --> 00:24:54,287 Wow, this is brilliant. 297 00:24:54,287 --> 00:24:58,750 She's just like... They're just over there. Look. 298 00:25:01,586 --> 00:25:04,756 Walrus are masters of underwater sound. 299 00:25:06,216 --> 00:25:09,386 Their courtship knocks carry for miles, 300 00:25:09,386 --> 00:25:12,973 helping them find mates in this icy wilderness. 301 00:25:23,275 --> 00:25:27,821 That's the first time I've seen walruses so close. 302 00:25:27,821 --> 00:25:30,073 You can see like the eyes looking, you know. 303 00:25:30,073 --> 00:25:31,199 It's brilliant. 304 00:25:33,660 --> 00:25:37,664 But the walrus calls are increasingly being drowned out. 305 00:25:43,962 --> 00:25:45,964 Yeah, I can hear the boat. 306 00:25:52,554 --> 00:25:55,473 And even if I don't see the boat, I can hear it. 307 00:25:59,060 --> 00:26:00,896 It's really worrying, because it's... 308 00:26:00,896 --> 00:26:05,483 You know, with this shipping lane, it will separate habitats from each other. 309 00:26:07,068 --> 00:26:09,446 Species that are migrating 310 00:26:09,446 --> 00:26:12,115 or they're going to a particular area to feed... 311 00:26:12,115 --> 00:26:16,828 They might have suddenly, like, a shipping lane right through their dinner table, 312 00:26:16,828 --> 00:26:19,623 and they can't hear each other, you know? 313 00:26:19,623 --> 00:26:23,126 And they can't meet each other. They can't meet a mate. 314 00:26:23,126 --> 00:26:29,382 So, it's like eating dinner every day in the middle of a motorway. 315 00:26:34,221 --> 00:26:38,225 Recent studies show underwater noise pollution in the Arctic 316 00:26:38,225 --> 00:26:41,269 has doubled in just six years... 317 00:26:43,271 --> 00:26:45,815 but we still have time to tackle it. 318 00:26:47,859 --> 00:26:53,240 There is regulations that can be done in terms of how much sound the ship makes, 319 00:26:53,240 --> 00:26:58,411 or what time of year you're having the traffic. 320 00:26:59,537 --> 00:27:03,458 This is the mating ground and, you know, 321 00:27:03,458 --> 00:27:09,464 we don't need to kind of just drive straight through it all year around. 322 00:27:10,840 --> 00:27:13,552 Sound pollution is one of the more straightforward 323 00:27:13,552 --> 00:27:16,054 types of pollutants to deal with. 324 00:27:17,013 --> 00:27:21,851 You simply turn it off or at least turn it down. 325 00:27:24,271 --> 00:27:30,026 Recordings like Jana's will help scientists identify key hot spots 326 00:27:30,026 --> 00:27:33,780 that marine mammals use to broadcast their courtship calls... 327 00:27:35,865 --> 00:27:39,327 helping us better protect them throughout the Arctic Ocean. 328 00:27:49,379 --> 00:27:51,131 Okay, you guys good? 329 00:27:51,131 --> 00:27:52,924 Okay, we're ready? Okay, here we go. 330 00:27:54,342 --> 00:27:55,719 Back in the Pacific, 331 00:27:55,719 --> 00:28:01,016 it's been five months since Beth and her team launched the acoustic Wave Glider. 332 00:28:01,975 --> 00:28:03,018 All clear. 333 00:28:06,104 --> 00:28:10,150 Now it's time to retrieve it and discover if their efforts 334 00:28:10,150 --> 00:28:14,070 to track humpback whales through sound have paid off. 335 00:28:14,571 --> 00:28:17,032 Right now, as of about five minutes ago, 336 00:28:17,032 --> 00:28:20,869 she was off of this bay right here, about ten miles offshore. 337 00:28:20,869 --> 00:28:23,413 This is our time. We're gonna go get her. 338 00:28:23,413 --> 00:28:25,206 Let's do this, okay? 339 00:28:30,545 --> 00:28:34,925 Europa has been traveling all the way to Mexico and back 340 00:28:34,925 --> 00:28:37,510 in search for humpback whale song 341 00:28:38,094 --> 00:28:41,097 in unidentified areas where people aren't expecting to hear them. 342 00:28:42,682 --> 00:28:45,477 If Europa has recorded humpback song, 343 00:28:45,477 --> 00:28:49,231 it could shed new light on the whales' migration routes 344 00:28:49,231 --> 00:28:50,815 throughout the North Pacific. 345 00:28:51,858 --> 00:28:55,111 The team just needs to find it and bring it safely aboard... 346 00:28:56,613 --> 00:28:59,532 but the ocean has other plans. 347 00:29:00,659 --> 00:29:02,327 Not liking that weather moving in. 348 00:29:02,327 --> 00:29:05,080 The swell's picking up here a little bit. Okay, watch these... 349 00:29:07,457 --> 00:29:08,500 Oh, yeah. 350 00:29:12,254 --> 00:29:15,298 All eyes out. We should be right on it. 351 00:29:16,925 --> 00:29:19,970 There it is. Yeah. Right there. Where the birds are. 352 00:29:20,595 --> 00:29:24,933 All set for a lively recovery on the high seas. 353 00:29:24,933 --> 00:29:26,893 Don't fall off up there. 354 00:29:26,893 --> 00:29:29,104 All right, Murray, I've got the helm! 355 00:29:30,146 --> 00:29:31,231 Oh, yeah. Okay! 356 00:29:31,231 --> 00:29:33,441 Yeehaw, this is rough. 357 00:29:33,441 --> 00:29:34,526 Yeah. 358 00:29:36,611 --> 00:29:38,697 If the team don't get this right, 359 00:29:38,697 --> 00:29:41,700 all of Europa's precious data could be lost. 360 00:29:41,700 --> 00:29:43,368 I'm getting you a little closer. 361 00:29:43,868 --> 00:29:46,580 - Come on! - Go, go stretch. 362 00:29:46,580 --> 00:29:48,373 - One more. Yeah, here we go. - We're on! 363 00:29:48,373 --> 00:29:49,291 All right. 364 00:29:49,874 --> 00:29:51,710 Look at her, she's looking great! 365 00:29:51,710 --> 00:29:53,461 Watch... Watch... 366 00:29:55,630 --> 00:29:58,842 - Okay. Break off. - We got her. 367 00:30:00,093 --> 00:30:01,845 - All right. - Nice! 368 00:30:02,888 --> 00:30:04,514 So, we got Europa back. 369 00:30:04,514 --> 00:30:08,268 She's got quite a few gooseneck barnacles growing on her. 370 00:30:08,268 --> 00:30:12,731 A little bit of algae, but basically she looks in great shape. 371 00:30:14,024 --> 00:30:15,609 As the crew head for home, 372 00:30:16,860 --> 00:30:20,989 Beth can't wait to check out what Europa has been recording. 373 00:30:20,989 --> 00:30:24,492 Let's download an audio file from a thousand miles offshore. 374 00:30:24,993 --> 00:30:27,162 If it's captured whale song, 375 00:30:27,162 --> 00:30:31,166 it'll be proof of humpbacks in the mid-Pacific. 376 00:30:31,166 --> 00:30:34,127 Okay. Here we go. Let me listen. 377 00:30:37,005 --> 00:30:40,508 Yeah, yeah, yeah! It's a song, that's pretty clear. 378 00:30:40,508 --> 00:30:42,385 Okay. Here we go. Here's another one. 379 00:30:45,013 --> 00:30:46,431 Yes, those are even louder. 380 00:30:46,431 --> 00:30:47,682 - Those are even clearer. - Wow. 381 00:30:48,558 --> 00:30:52,854 It's the sound that Beth and the team have waited for for so long. 382 00:30:53,355 --> 00:30:56,524 Oh, my God. We heard whales. All right, you guys. That's great. 383 00:30:56,524 --> 00:30:58,068 That's so great. Cool. 384 00:30:58,068 --> 00:30:59,361 - Good job. - Yay. 385 00:31:03,156 --> 00:31:07,285 Europa ended up being out on this mission 150 days, 386 00:31:07,953 --> 00:31:11,539 and she traveled 5,000 nautical miles, 387 00:31:11,539 --> 00:31:15,794 and we collected 1,700 hours of audio data. 388 00:31:18,129 --> 00:31:23,260 Incredibly, Europa captured thousands of humpback recordings 389 00:31:23,260 --> 00:31:27,806 which show that as well as migrating north to the feeding grounds, 390 00:31:29,182 --> 00:31:33,395 the whales are also traveling between Hawaii and Mexico 391 00:31:34,479 --> 00:31:37,023 in numbers never recorded before. 392 00:31:39,359 --> 00:31:42,362 Not only could the whales be migrating back and forth 393 00:31:42,362 --> 00:31:45,782 between Mexico and Hawaii, within the same season, 394 00:31:45,782 --> 00:31:47,409 but they could be actually lingering 395 00:31:47,409 --> 00:31:51,288 or having a group of them out there, traveling back and forth. 396 00:31:51,288 --> 00:31:54,082 Or they could even be out there breeding and calving. 397 00:31:55,959 --> 00:31:59,713 This discovery of a corridor between Hawaii and Mexico 398 00:32:00,505 --> 00:32:04,676 will help us better understand and protect these ocean giants 399 00:32:05,468 --> 00:32:08,138 on their travels across the North Pacific. 400 00:32:11,933 --> 00:32:15,228 The fact that we heard any at all is quite phenomenal 401 00:32:15,228 --> 00:32:18,023 for the technology of the Wave Glider and the hydrophone, 402 00:32:18,023 --> 00:32:20,317 but also for the discovery of having them out there. 403 00:32:20,317 --> 00:32:22,277 So I feel pretty pleased about that. 404 00:32:22,277 --> 00:32:23,945 It's pretty impressive, really. 405 00:32:25,155 --> 00:32:28,408 It's just one of the remarkable ways 406 00:32:28,408 --> 00:32:32,412 we're now able to track and protect animals... 407 00:32:35,332 --> 00:32:37,042 simply by listening... 408 00:32:40,337 --> 00:32:42,756 to the sounds of our planet. 34754

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