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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,640 --> 00:00:05,100 Four billion years in the making. 2 00:00:07,900 --> 00:00:10,860 An astonishing planet. 3 00:00:12,500 --> 00:00:18,060 Home to over eight million different types of plant and animal. 4 00:00:19,700 --> 00:00:20,940 And us. 5 00:00:21,500 --> 00:00:24,020 Eight billion humans. 6 00:00:27,540 --> 00:00:30,340 When it comes to looking after our home, 7 00:00:30,340 --> 00:00:34,820 it would be fair to say that we dropped the ball. 8 00:00:37,260 --> 00:00:39,940 But that's not the end of the story. 9 00:00:43,460 --> 00:00:48,340 Around the world, ingenious communities, scientists and experts 10 00:00:48,340 --> 00:00:51,660 are working to protect the natural world, 11 00:00:51,660 --> 00:00:54,620 and fix what is broken. 12 00:00:54,620 --> 00:00:58,220 Hang on, hold the phone! It might sound bonkers, OK? 13 00:00:58,220 --> 00:00:59,740 Is he making this up?! 14 00:01:02,660 --> 00:01:05,700 Oh, man! So good to see you, brother! 15 00:01:05,700 --> 00:01:08,300 These people are surprising... 16 00:01:09,460 --> 00:01:11,420 They are inventive... 17 00:01:11,420 --> 00:01:13,660 We're using that biology of the elephants 18 00:01:13,660 --> 00:01:15,380 to come up with new solutions. 19 00:01:18,580 --> 00:01:20,660 And above all, they are determined. 20 00:01:22,780 --> 00:01:27,500 We have crocodiles, in baskets, on mopeds, travelling in convoy. 21 00:01:28,940 --> 00:01:31,340 Didn't ever think I would say that! 22 00:01:33,460 --> 00:01:36,180 There just seems to be life everywhere. 23 00:01:36,180 --> 00:01:39,340 We'll be exploring extraordinary places, 24 00:01:39,340 --> 00:01:40,900 rich in nature. 25 00:01:42,020 --> 00:01:43,700 Hot work! 26 00:01:45,980 --> 00:01:48,020 Six pivotal locations... 27 00:01:48,020 --> 00:01:50,820 I didn't for a second think this was going to work! 28 00:01:50,820 --> 00:01:53,260 Six teams of heroic humans... 29 00:01:53,260 --> 00:01:55,860 These are the kind of wounds that, in a human being, 30 00:01:55,860 --> 00:01:57,340 it would kill you. 31 00:01:57,340 --> 00:02:00,020 We'll be following their inspiring stories. 32 00:02:00,020 --> 00:02:04,300 Brilliant animal, great location, fantastic scientists. 33 00:02:04,300 --> 00:02:06,860 Together we hope to better understand 34 00:02:06,860 --> 00:02:09,460 the future of our changing planet. 35 00:02:24,980 --> 00:02:29,300 I've returned to the beautiful Laamu Atoll in the Maldives. 36 00:02:31,540 --> 00:02:35,420 This chain of more than a thousand gem-like islands - 37 00:02:35,420 --> 00:02:38,940 many rising no more than a metre above the sea - 38 00:02:38,940 --> 00:02:43,500 is encircled by gigantic rings of protective coral. 39 00:02:45,020 --> 00:02:48,340 A living shield from storm erosion and rising sea levels. 40 00:02:50,020 --> 00:02:53,980 Last year I saw for myself how a thriving coral reef 41 00:02:53,980 --> 00:02:57,340 can have a huge role to play in our broader ocean health. 42 00:02:57,340 --> 00:02:59,180 But as sea temperatures rise, 43 00:02:59,180 --> 00:03:02,500 experts are predicting that coral could cease to be reproductive. 44 00:03:02,500 --> 00:03:04,060 That would mean that, eventually, 45 00:03:04,060 --> 00:03:06,340 coral reefs would disappear altogether. 46 00:03:09,020 --> 00:03:11,140 This would be catastrophic. 47 00:03:12,100 --> 00:03:15,500 Around the world a billion people depend on reefs in some way 48 00:03:15,500 --> 00:03:17,100 for their livelihoods. 49 00:03:19,940 --> 00:03:22,660 But scientists have made an extraordinary new discovery... 50 00:03:24,500 --> 00:03:27,180 ..that will bolster the life of baby coral. 51 00:03:30,980 --> 00:03:34,580 ECHOING RUMBLES AND POPS 52 00:03:39,300 --> 00:03:42,860 Most coral animals release billions of eggs and sperm 53 00:03:42,860 --> 00:03:44,620 on one night of the year. 54 00:03:47,820 --> 00:03:52,020 This sexual soup results in millions of tiny coral larvae 55 00:03:52,020 --> 00:03:53,540 drifting in the sea. 56 00:03:57,460 --> 00:04:00,660 They have no brain and no central nervous system, 57 00:04:00,660 --> 00:04:03,220 and yet something triggers them to drop down to the bottom... 58 00:04:05,380 --> 00:04:08,540 ..cling to a rock, and begin to grow. 59 00:04:13,380 --> 00:04:16,780 Bioacoustics expert Professor Steve Simpson, 60 00:04:16,780 --> 00:04:19,860 along with a pioneering team at Bristol University, 61 00:04:19,860 --> 00:04:22,020 think they know what it is. 62 00:04:22,020 --> 00:04:24,340 They're listening to reefs and piecing together 63 00:04:24,340 --> 00:04:27,580 the secret world of underwater animal chatter. 64 00:04:27,580 --> 00:04:30,380 This is a real protype, I was up late last night building this. 65 00:04:30,380 --> 00:04:35,060 These are some wooden poles from the building site nearby. 66 00:04:35,060 --> 00:04:38,980 What this is, effectively, is a human listening device 67 00:04:38,980 --> 00:04:43,100 with our ears now spread a metre and a half apart... 68 00:04:43,100 --> 00:04:45,940 And what we've got here are four hydrophones. 69 00:04:45,940 --> 00:04:48,660 So that will mean we can start to listen to the reef 70 00:04:48,660 --> 00:04:52,060 in surround sound, spreading our sensory system out 71 00:04:52,060 --> 00:04:53,980 over a much larger area. 72 00:04:53,980 --> 00:04:56,100 I love a Heath Robinson bit of kit 73 00:04:56,100 --> 00:04:58,780 that looks like it was knocked up overnight! 74 00:04:58,780 --> 00:05:02,300 Which is exactly what it was! Which is exactly what this is, yeah! 75 00:05:07,260 --> 00:05:09,660 Jess Hodge, a marine ecologist 76 00:05:09,660 --> 00:05:14,300 researching coral restoration at Laamu, guides us to a prime spot. 77 00:05:22,060 --> 00:05:24,940 As we drag Steve's giant ears through the reef, 78 00:05:24,940 --> 00:05:30,420 we're able to listen live to what Steve calls the "ocean's orchestra". 79 00:05:30,420 --> 00:05:33,420 RESONANT BURBLING AND CLICKING 80 00:05:33,420 --> 00:05:37,860 Those noises are the fish, the shrimp, the lobster, communicating. 81 00:05:39,060 --> 00:05:41,580 Something we would never normally be able to hear. 82 00:05:44,060 --> 00:05:48,140 I didn't think for a second this was going to work! 83 00:05:48,140 --> 00:05:50,420 That is the first time I've ever heard a reef like that. 84 00:05:50,420 --> 00:05:51,780 That is amazing. 85 00:05:51,780 --> 00:05:54,620 It's the first time anyone's ever heard a reef like that, that's why! 86 00:05:56,380 --> 00:05:59,660 Steve, it's quite familiar to us to dive on a coral reef 87 00:05:59,660 --> 00:06:03,820 and appreciate the colours and how it appears. 88 00:06:03,820 --> 00:06:06,620 It's quite different to be thinking about how it sounds. 89 00:06:06,620 --> 00:06:09,340 As we explore coral reefs, we tend to look around - 90 00:06:09,340 --> 00:06:12,340 we see bright, colourful fish, we see the colourful corals. 91 00:06:12,340 --> 00:06:15,140 We don't really hear very much - our ears don't function underwater 92 00:06:15,140 --> 00:06:16,820 particularly well. 93 00:06:16,820 --> 00:06:19,380 But with recording equipment we realise that the soundscape 94 00:06:19,380 --> 00:06:22,900 is absolutely full of life, full of information. 95 00:06:22,900 --> 00:06:25,620 And that's information that all the animals living on the reef use 96 00:06:25,620 --> 00:06:28,460 to make decisions, to be able to understand 97 00:06:28,460 --> 00:06:32,060 the larger biodiversity of the habitat that they're living in. 98 00:06:33,420 --> 00:06:36,620 Steve now has evidence that those eerie clicks and whistles 99 00:06:36,620 --> 00:06:41,660 could also be used to communicate specifically with baby coral. 100 00:06:41,660 --> 00:06:43,700 And this could be a game-changer. 101 00:06:46,820 --> 00:06:50,060 This discovery came not from the wild reef, 102 00:06:50,060 --> 00:06:53,580 but from a state-of-the-art laboratory 5,000 miles away, 103 00:06:53,580 --> 00:06:54,780 in England. 104 00:06:56,780 --> 00:06:58,940 Deep in the bowels of Bristol University 105 00:06:58,940 --> 00:07:02,620 is a Nasa-grade facility designed for testing rocket parts. 106 00:07:05,140 --> 00:07:08,660 But now Steve's team are using it to study baby coral. 107 00:07:12,060 --> 00:07:16,460 This is precision baby-sitting like I've never seen. 108 00:07:20,780 --> 00:07:25,420 Josh Pysanczyn is a coral researcher working with Steve. 109 00:07:25,420 --> 00:07:29,060 He's devised an experiment that reveals for the first time 110 00:07:29,060 --> 00:07:32,980 that the tiny hairs - or cilia - on the body of larval coral 111 00:07:32,980 --> 00:07:37,300 vibrate in response to different frequencies of sound. 112 00:07:37,300 --> 00:07:40,140 It's a discovery that could be harnessed to help 113 00:07:40,140 --> 00:07:42,260 the world's reefs recover. 114 00:07:45,820 --> 00:07:49,420 Josh releases 50 free-swimming baby corals into a tank. 115 00:07:50,700 --> 00:07:55,060 Smaller than a pin head, but really starting to explore the tank. 116 00:07:55,060 --> 00:07:58,780 At first, the larvae randomly bob about with no sense of purpose 117 00:07:58,780 --> 00:08:00,580 or direction. 118 00:08:00,580 --> 00:08:03,540 But obviously, it's complete silence in there. Yeah. All right? 119 00:08:04,820 --> 00:08:08,820 Steve has recorded a party playlist of sounds from a healthy coral reef. 120 00:08:08,820 --> 00:08:11,340 FIZZLES AND CLICKS 121 00:08:11,340 --> 00:08:13,980 When the recording is played into the tank, 122 00:08:13,980 --> 00:08:17,500 the once aimless corals start actively swimming, 123 00:08:17,500 --> 00:08:22,340 spiralling downwards, looking for a place to set up home. 124 00:08:22,340 --> 00:08:26,620 Look at that! I mean, that one's falling out of space! 125 00:08:26,620 --> 00:08:28,900 It looks like a meteorite, doesn't it? 126 00:08:28,900 --> 00:08:32,020 Making a beeline for the bottom! 127 00:08:32,020 --> 00:08:35,660 Something in that coral reef playlist triggered the coral larvae 128 00:08:35,660 --> 00:08:40,620 to begin searching for a place to settle. But what was it? 129 00:08:40,620 --> 00:08:43,420 This is the first time we've ever known what a coral can hear. 130 00:08:43,420 --> 00:08:44,780 It is, isn't it? Yeah. 131 00:08:44,780 --> 00:08:48,180 They isolate the individual sounds of the reef to work out 132 00:08:48,180 --> 00:08:51,500 which one excited the coral and got its cilia waving about. 133 00:08:51,500 --> 00:08:53,980 And they discover something that could shape the future 134 00:08:53,980 --> 00:08:56,260 of global reef restoration. 135 00:08:56,260 --> 00:08:58,540 It's the fish. 136 00:08:58,540 --> 00:08:59,780 Right? 137 00:08:59,780 --> 00:09:02,980 So the coral is potentially hearing... 138 00:09:02,980 --> 00:09:04,740 Do you hear that? Du-du-du-du! 139 00:09:04,740 --> 00:09:07,220 Yeah. It's potentially hearing just the fish out of the whole 140 00:09:07,220 --> 00:09:09,820 soundscape of the reef. The coral is listening for the fish. 141 00:09:09,820 --> 00:09:12,540 Wow. Hear that? ECHOING POPS 142 00:09:12,540 --> 00:09:14,860 It's just the fish, isn't it? Yeah. 143 00:09:14,860 --> 00:09:17,980 POPPING AND CLICKING CONTINUES 144 00:09:19,500 --> 00:09:20,980 Pwhhhh! 145 00:09:22,340 --> 00:09:25,340 Not only is this mind-blowing for Steve and Josh - 146 00:09:25,340 --> 00:09:27,580 it's big news for me, too. 147 00:09:27,580 --> 00:09:29,700 Hang on. Hold the phone! 148 00:09:29,700 --> 00:09:34,580 You're talking about teeny tiny floating larvae hearing a reef? 149 00:09:34,580 --> 00:09:37,940 Absolutely. So these fuzzy tennis balls 150 00:09:37,940 --> 00:09:40,780 the size of a pin head, covered in hairs, 151 00:09:40,780 --> 00:09:43,060 are moving around in the water. 152 00:09:43,060 --> 00:09:46,700 And those hairs are being moved by the sound. 153 00:09:46,700 --> 00:09:49,980 And so as the hairs get moved, it gives the coral a way 154 00:09:49,980 --> 00:09:53,420 of detecting its soundscape and selecting based on 155 00:09:53,420 --> 00:09:56,780 what it's picking up in those hairs, exactly which type of habitat 156 00:09:56,780 --> 00:09:58,500 it wants to settle onto. 157 00:09:58,500 --> 00:10:00,700 It might sound completely bonkers, OK? 158 00:10:00,700 --> 00:10:02,580 Is he making this up?! 159 00:10:05,300 --> 00:10:08,220 The lab work showed Steve that corals move not towards 160 00:10:08,220 --> 00:10:12,180 a noisy reef, but towards specific fish on that reef. 161 00:10:12,180 --> 00:10:15,700 The fish - not the waves, or the lobsters or the shrimp - 162 00:10:15,700 --> 00:10:19,260 are the trigger for coral to come in, sink to the bottom, 163 00:10:19,260 --> 00:10:20,540 and set up home. 164 00:10:22,100 --> 00:10:24,580 Now, he wants to know which fish on these reefs 165 00:10:24,580 --> 00:10:27,700 can help guide baby corals in from the deep. 166 00:10:29,300 --> 00:10:31,860 When we listen to the reef, we can start to actually 167 00:10:31,860 --> 00:10:34,020 tick off different species, use it like a register. 168 00:10:34,020 --> 00:10:36,380 What we're going to try and do today is two things. 169 00:10:36,380 --> 00:10:39,620 The first is to go and deploy these little self-contained 170 00:10:39,620 --> 00:10:41,660 recording systems, OK? 171 00:10:41,660 --> 00:10:44,860 So they're programmed today just to be recording constantly. 172 00:10:44,860 --> 00:10:47,940 We'll put those down on the reef and we can leave those. 173 00:10:47,940 --> 00:10:50,300 They'll just be clocking the local soundscape. 174 00:10:50,300 --> 00:10:53,780 But what we don't often know is which species are making 175 00:10:53,780 --> 00:10:56,420 which sounds, so we're going to do a bit of an experiment 176 00:10:56,420 --> 00:11:00,380 where we set four of these Hydramoths in a square 177 00:11:00,380 --> 00:11:03,820 about two metres apart, and then put a 360-degree camera 178 00:11:03,820 --> 00:11:05,220 in the middle of it. 179 00:11:05,220 --> 00:11:08,300 And when we hear a sound, we can then turn our screen 180 00:11:08,300 --> 00:11:11,100 to look at which species was making that sound. 181 00:11:14,060 --> 00:11:16,700 Many of the reefs around Laamu have not recovered 182 00:11:16,700 --> 00:11:20,500 from the last severe warm water spike seven years ago, 183 00:11:20,500 --> 00:11:23,060 but Jess has found us one that's buzzing. 184 00:11:26,700 --> 00:11:29,460 Steve only developed this setup a few weeks ago, 185 00:11:29,460 --> 00:11:33,180 so we're all excited to see how it works in the field. 186 00:11:35,620 --> 00:11:37,860 If we can match faces to voices, 187 00:11:37,860 --> 00:11:40,980 we can ultimately work out which species of fish the coral 188 00:11:40,980 --> 00:11:45,420 listens to, and use those voice recordings to the reef's advantage. 189 00:11:47,660 --> 00:11:51,940 With all our equipment installed, we have no choice but to wait 190 00:11:51,940 --> 00:11:55,980 as the reef whispers and whirs and sings into our recorders. 191 00:12:11,860 --> 00:12:14,500 Covering a third of California 192 00:12:14,500 --> 00:12:18,700 are 33 million acres of spectacular forests. 193 00:12:21,300 --> 00:12:23,860 Vast, beautiful, wildernesses. 194 00:12:29,020 --> 00:12:32,780 But now they're under threat more than ever before. 195 00:12:40,660 --> 00:12:44,220 It's now mid-October 2022, 196 00:12:44,220 --> 00:12:47,660 and a year ago when we were filming about 250 miles north 197 00:12:47,660 --> 00:12:54,020 of here, the Windy Fire of 2021 was ripping its way 198 00:12:54,020 --> 00:12:58,300 through this very spot in the Sequoia National Forest. 199 00:13:01,020 --> 00:13:04,380 The fire was part of the second-worst fire season 200 00:13:04,380 --> 00:13:07,540 that California has ever experienced, 201 00:13:07,540 --> 00:13:10,580 and it burned for over two months, 202 00:13:10,580 --> 00:13:13,580 and obliterated almost 100,000 acres - 203 00:13:13,580 --> 00:13:18,980 including some of the largest and oldest trees on Earth. 204 00:13:20,620 --> 00:13:23,940 California's iconic giant sequoias. 205 00:13:25,140 --> 00:13:27,500 They've evolved to withstand fire, 206 00:13:27,500 --> 00:13:30,580 relying on its heat to germinate their seeds, 207 00:13:30,580 --> 00:13:33,100 but even they can no longer cope. 208 00:13:35,340 --> 00:13:39,500 This is - or was - Pack Saddle Giant, 209 00:13:39,500 --> 00:13:45,500 the 38th largest giant sequoia in the world. 210 00:13:45,500 --> 00:13:48,820 It could have been as old as 3,000 years, 211 00:13:48,820 --> 00:13:53,060 but it was completely destroyed by the Windy Fire 212 00:13:53,060 --> 00:13:57,020 and there's no way it can recover from a burn like that. 213 00:13:59,700 --> 00:14:03,940 Fuelled by a 20-year drought, over-managed waterways, 214 00:14:03,940 --> 00:14:08,980 global warming, and over a century of fire suppression, 215 00:14:08,980 --> 00:14:12,940 the intense infernos of recent years are responsible 216 00:14:12,940 --> 00:14:17,460 for 20% of the world's giant sequoias going up in smoke. 217 00:14:25,620 --> 00:14:28,740 The state government has spent billions of dollars 218 00:14:28,740 --> 00:14:30,380 fighting wildfires. 219 00:14:31,460 --> 00:14:34,820 But I'm here to find out how these out-of-control blazes 220 00:14:34,820 --> 00:14:37,580 might be prevented in the first place. 221 00:14:41,020 --> 00:14:43,300 Bordering the Sequoia National Forest 222 00:14:43,300 --> 00:14:46,180 is the Tule River Tribe Reservation. 223 00:14:48,540 --> 00:14:51,740 I know this sounds massively counterintuitive 224 00:14:51,740 --> 00:14:54,660 in one of the world's worst hot spots for wildfires, 225 00:14:54,660 --> 00:14:57,980 but I'm joining the Tule River Tribe who are about to set fire 226 00:14:57,980 --> 00:15:00,900 to that meadow up the track. 227 00:15:03,460 --> 00:15:06,740 Today we're restoring the meadow and we're restoring the watershed 228 00:15:06,740 --> 00:15:08,740 and the land. 229 00:15:08,740 --> 00:15:12,020 Ron Goode is an elder from the Tule's sister tribe, 230 00:15:12,020 --> 00:15:13,420 the North Fork Mono. 231 00:15:14,540 --> 00:15:19,260 He's an expert in a traditional fire practice called cultural burning. 232 00:15:20,820 --> 00:15:24,180 Today's burn aims to clear the overgrown meadow. 233 00:15:26,220 --> 00:15:29,340 We have to take care of our back yard. 234 00:15:29,340 --> 00:15:32,540 When we do that, we're doing our part to take care 235 00:15:32,540 --> 00:15:36,380 of climate change, but we have to lead by example. 236 00:15:39,540 --> 00:15:41,540 OK, so everybody's getting organised now. 237 00:15:41,540 --> 00:15:44,500 I'm going to get stuck in and make myself useful. 238 00:15:51,180 --> 00:15:55,940 Low-level wildfires are a natural part of many forest ecosystems - 239 00:15:55,940 --> 00:16:00,500 and, perhaps surprisingly, they are a good thing. 240 00:16:00,500 --> 00:16:03,260 They remove debris from the forest floor, 241 00:16:03,260 --> 00:16:05,540 establish clearings for new growth, 242 00:16:05,540 --> 00:16:09,020 and help to create nutrient-rich soil. 243 00:16:09,020 --> 00:16:12,740 But for more than a century, all fires across California 244 00:16:12,740 --> 00:16:16,780 have been suppressed as part of a state-wide no-fire policy, 245 00:16:16,780 --> 00:16:20,540 originally introduced to protect commercial timber. 246 00:16:21,700 --> 00:16:25,300 Hot work! Whoooo! 247 00:16:25,300 --> 00:16:29,060 The result is densely packed, overgrown forests, 248 00:16:29,060 --> 00:16:32,500 with plenty of fuel just waiting to go up in flames. 249 00:16:32,500 --> 00:16:34,540 A virtual tinderbox. 250 00:16:36,620 --> 00:16:41,100 What you've been doing, when do you expect it to work? 251 00:16:41,100 --> 00:16:43,500 What century do you expect it to work? 252 00:16:43,500 --> 00:16:46,580 Because it hasn't worked for two centuries, 253 00:16:46,580 --> 00:16:49,460 and I don't see where it's going to work for the next century. 254 00:16:51,140 --> 00:16:55,340 Indigenous peoples in California have been mimicking nature, 255 00:16:55,340 --> 00:16:59,660 using fire in a controlled way to holistically manage their lands 256 00:16:59,660 --> 00:17:01,740 for many thousands of years. 257 00:17:03,780 --> 00:17:06,860 If you use fire in the right way, it's good for life. 258 00:17:06,860 --> 00:17:09,860 But it's the wildfires that get away, are uncontrollable, 259 00:17:09,860 --> 00:17:12,820 that's bad fires. The cultural burning is a good fire 260 00:17:12,820 --> 00:17:16,820 because you're using it in ways that benefit everybody. 261 00:17:16,820 --> 00:17:20,780 Making use of fire and other forest-management practices 262 00:17:20,780 --> 00:17:23,860 such as thinning, reduces the fuel load 263 00:17:23,860 --> 00:17:27,140 and restores the health of the landscape. 264 00:17:27,140 --> 00:17:30,380 The Tule River Tribe hope this will better protect 265 00:17:30,380 --> 00:17:32,540 their reservation from today's megafires. 266 00:17:32,540 --> 00:17:35,660 Talk me through the big fires of the last couple of years 267 00:17:35,660 --> 00:17:37,860 and how they affected your reservation. 268 00:17:37,860 --> 00:17:40,220 Say last year, the lightning strike on the Windy Fire, 269 00:17:40,220 --> 00:17:42,180 it started on the reservation, it was small. 270 00:17:42,180 --> 00:17:44,460 It moved off the reservation, it come back in. 271 00:17:44,460 --> 00:17:47,380 On all the big fires, a lot of them gain speed 272 00:17:47,380 --> 00:17:50,420 when they get off the reservation because you go off the reservation 273 00:17:50,420 --> 00:17:53,460 and they're not allowed to do any of the work that we do. 274 00:17:56,260 --> 00:17:58,260 But change is on the horizon. 275 00:17:59,580 --> 00:18:01,980 This age-old indigenous practice - 276 00:18:01,980 --> 00:18:07,780 which uses good fire to prevent bad fire - is finally being recognised. 277 00:18:07,780 --> 00:18:10,500 The state government has pledged to undertake 278 00:18:10,500 --> 00:18:13,700 nearly half a million acres of controlled burning a year 279 00:18:13,700 --> 00:18:16,740 across California's forests. 280 00:18:18,940 --> 00:18:21,740 What's more, for the first time in history, 281 00:18:21,740 --> 00:18:24,580 the Tule River Tribe are working directly 282 00:18:24,580 --> 00:18:28,100 with the National Forest Service to incorporate traditional knowledge 283 00:18:28,100 --> 00:18:32,620 into forest management, and this could build even greater resilience. 284 00:18:38,380 --> 00:18:43,260 It still feels really weird to be setting fire to this place, 285 00:18:43,260 --> 00:18:47,060 knowing how bad the wildfires have been in this area, 286 00:18:47,060 --> 00:18:51,260 but this is going to help restore this meadow. 287 00:18:51,260 --> 00:18:56,940 Fire resistance, fire resilience, crucially, will also be improved. 288 00:18:59,100 --> 00:19:03,140 But with wildfires here predicted by some experts to triple 289 00:19:03,140 --> 00:19:06,500 by the end of the century, cultural and controlled burning 290 00:19:06,500 --> 00:19:08,940 will not be enough. 291 00:19:08,940 --> 00:19:11,900 I want to know if there are other nature-based solutions 292 00:19:11,900 --> 00:19:16,580 that can help prevent California from the devastating blazes. 293 00:19:23,540 --> 00:19:27,140 While we wait for our recorders to eavesdrop on the reef, 294 00:19:27,140 --> 00:19:30,860 I'm finding out about another Maldivian resident. 295 00:19:30,860 --> 00:19:32,460 Turtles. 296 00:19:32,460 --> 00:19:33,660 What a treat! 297 00:19:36,220 --> 00:19:38,180 Oh, so many turtles! 298 00:19:38,180 --> 00:19:42,460 So far, hawksbills. They're really characteristic, 299 00:19:42,460 --> 00:19:44,900 they've got a parrot-like beak, a kind of overbite 300 00:19:44,900 --> 00:19:47,940 from the upper jaw, and then the back of the shell 301 00:19:47,940 --> 00:19:52,220 has this almost saw-tooth look about it. 302 00:19:52,220 --> 00:19:54,100 You can see them instantly. 303 00:19:56,620 --> 00:20:00,380 Sea Turtles patrolled the oceans while dinosaurs roamed the Earth, 304 00:20:00,380 --> 00:20:02,980 more than 200 million years ago. 305 00:20:02,980 --> 00:20:06,500 They've evolved a close relationship with coral. 306 00:20:08,340 --> 00:20:11,260 Hawksbill turtles are like sea sheep, 307 00:20:11,260 --> 00:20:14,740 spending their days grazing and defecating. 308 00:20:14,740 --> 00:20:17,460 They eat a variety of plants and sponges. 309 00:20:18,660 --> 00:20:22,500 The turtles obviously need the food, but it works both ways. 310 00:20:22,500 --> 00:20:26,060 Without the turtles, the plants quickly get out of control, 311 00:20:26,060 --> 00:20:28,220 smothering the coral and killing it. 312 00:20:32,900 --> 00:20:37,700 Their future is totally tangled up with the health of these reefs. 313 00:20:37,700 --> 00:20:40,580 Protect the coral, and you protect the turtles. 314 00:20:41,660 --> 00:20:44,860 With the coral situation here on a knife edge, 315 00:20:44,860 --> 00:20:47,820 the Maldives cannot afford to lose its turtles. 316 00:20:50,380 --> 00:20:53,740 Hawksbill turtles like these are critically endangered, 317 00:20:53,740 --> 00:20:56,460 but a team of researchers are working to monitor and protect 318 00:20:56,460 --> 00:20:58,300 these coral gardeners. 319 00:20:58,300 --> 00:21:01,100 And they're doing it without darting or tagging - 320 00:21:01,100 --> 00:21:02,940 just waiting and watching. 321 00:21:02,940 --> 00:21:05,740 You're basically a paparazzi for turtles. 322 00:21:05,740 --> 00:21:08,500 That is exactly it! We are going into the water 323 00:21:08,500 --> 00:21:12,060 and getting photo ID shots of the face of sea turtles in the water. 324 00:21:12,060 --> 00:21:14,740 And then we're uploading the photos onto our laptop 325 00:21:14,740 --> 00:21:16,380 to see which individual it is - 326 00:21:16,380 --> 00:21:20,100 whether it's one that we've seen before, or whether it's a new one. 327 00:21:20,100 --> 00:21:22,860 We're going to find out which turtles are on gardening duty 328 00:21:22,860 --> 00:21:25,020 in this reef today. 329 00:21:25,020 --> 00:21:26,580 Camera was upside down! 330 00:21:26,580 --> 00:21:29,380 You didn't see that, did you?! 331 00:21:39,940 --> 00:21:44,740 Julian has built a comprehensive database of 750 turtles, 332 00:21:44,740 --> 00:21:47,620 which will alert him to any significant changes 333 00:21:47,620 --> 00:21:49,660 in the population. 334 00:21:53,940 --> 00:21:58,380 OK, Sarah, have you got any sense of who any of our heroes might be? 335 00:21:58,380 --> 00:22:01,980 Well, there's a turtle called Daisy who's very commonly seen 336 00:22:01,980 --> 00:22:03,900 in the site you just went to. 337 00:22:03,900 --> 00:22:08,500 So, I'm just going to type her name down on the database. 338 00:22:08,500 --> 00:22:10,900 And, yep, that is Daisy. 339 00:22:10,900 --> 00:22:13,620 What is it you're looking for in these photos for identification? 340 00:22:13,620 --> 00:22:16,860 We're just looking for the distinctive patterns 341 00:22:16,860 --> 00:22:18,740 on the turtles' faces. 342 00:22:18,740 --> 00:22:21,580 Every turtle has a different pattern, kind of like a fingerprint. 343 00:22:24,020 --> 00:22:27,500 This reef and its attendant turtles are living proof 344 00:22:27,500 --> 00:22:29,740 that coral can recover unaided 345 00:22:29,740 --> 00:22:32,660 after extreme sea temperature events. 346 00:22:32,660 --> 00:22:36,340 But as these events become more severe and more frequent, 347 00:22:36,340 --> 00:22:39,420 there will be no recovery time between the blows. 348 00:22:39,420 --> 00:22:43,700 This is likely to be the case for 99% of the world's reefs. 349 00:22:43,700 --> 00:22:46,300 Coral is going to need life support. 350 00:22:49,220 --> 00:22:52,220 We've had our artificial eyes and ears spying on the reef 351 00:22:52,220 --> 00:22:54,100 for a couple of days. 352 00:22:54,100 --> 00:22:58,420 In fact, the clownfish seem very at home in the camera tripod. 353 00:23:03,860 --> 00:23:05,780 So, this is totally new to science. 354 00:23:05,780 --> 00:23:08,540 It's been really exciting starting to unpack these recordings. 355 00:23:08,540 --> 00:23:10,660 Do we have any moments where you can link up the sound 356 00:23:10,660 --> 00:23:12,140 with something we can see? 357 00:23:12,140 --> 00:23:14,020 So this is the really exciting thing. 358 00:23:14,020 --> 00:23:16,100 This is a really new direction that we can go in, 359 00:23:16,100 --> 00:23:18,740 where we can put the recorders down next to the camera. Yeah. 360 00:23:18,740 --> 00:23:21,140 To try and get a good example, of that... 361 00:23:21,140 --> 00:23:24,020 WHIRRING AND CLICKING 362 00:23:24,020 --> 00:23:26,500 So I'm calling it the laugh, high, low, low... 363 00:23:26,500 --> 00:23:29,820 "Whurrpp, burrp, burrrp, burrrp. Whurrpp, burrp, burrrp, burrrp." 364 00:23:29,820 --> 00:23:32,340 OK? So then if I go into the video, this is that moment. 365 00:23:32,340 --> 00:23:37,260 OK? So if we watch the video, we're looking for a fish arriving 366 00:23:37,260 --> 00:23:40,660 and producing the sound, and it's this guy here... 367 00:23:40,660 --> 00:23:44,460 Whoa! So, the Regal Angelfish... An Angelfish? ..swims in. 368 00:23:44,460 --> 00:23:47,020 And so I've gone through the video to find other times 369 00:23:47,020 --> 00:23:49,580 that the Regal Angelfish is in the frame. Yep. 370 00:23:49,580 --> 00:23:51,460 And sure enough, we hear that 371 00:23:51,460 --> 00:23:54,420 "whurrpp, burrp, burrrp, burrrp, whurrpp, burrp, burrrp, burrrp". 372 00:23:54,420 --> 00:23:56,460 So it's a really nice way of actually being able 373 00:23:56,460 --> 00:23:59,500 to put some characters into the soundscape for the first time. 374 00:23:59,500 --> 00:24:00,900 That's extraordinary! 375 00:24:00,900 --> 00:24:05,060 It's like you recorded a bird song for the first time 376 00:24:05,060 --> 00:24:07,540 in the 21st century. 377 00:24:07,540 --> 00:24:10,500 We are a long way behind underwater, but it means we can listen 378 00:24:10,500 --> 00:24:12,700 with our eyes open. It's so exciting. 379 00:24:12,700 --> 00:24:15,060 This feels pretty special to me. 380 00:24:15,060 --> 00:24:17,460 These are fish I don't think a human has ever heard before. 381 00:24:17,460 --> 00:24:19,860 Species that have never been recorded. 382 00:24:19,860 --> 00:24:23,380 So this really is a pioneering adventure into the soundscapes 383 00:24:23,380 --> 00:24:25,500 of coral reefs. 384 00:24:25,500 --> 00:24:28,540 These new discoveries have huge ramifications 385 00:24:28,540 --> 00:24:31,220 for the coral-restoration work beginning here. 386 00:24:31,220 --> 00:24:33,580 Steve plans to play these recordings, 387 00:24:33,580 --> 00:24:36,620 taken from healthy reefs, back out into the ocean 388 00:24:36,620 --> 00:24:40,460 using loudspeakers, essentially tricking millions of baby coral 389 00:24:40,460 --> 00:24:43,900 into setting up home on dead and degraded reefs, 390 00:24:43,900 --> 00:24:46,460 jump-starting them back to life. 391 00:24:46,460 --> 00:24:51,740 You're talking about playing the sounds of a perfect, pristine reef 392 00:24:51,740 --> 00:24:54,260 as a kind of calling card? 393 00:24:54,260 --> 00:24:55,580 Absolutely. 394 00:24:55,580 --> 00:24:58,100 As a "come hither" to floating coral larvae. 395 00:24:58,100 --> 00:24:59,780 That's the plan. 396 00:24:59,780 --> 00:25:02,540 And over probably two or three generations, 397 00:25:02,540 --> 00:25:03,900 two or three seasons, 398 00:25:03,900 --> 00:25:07,660 you start to then make that coral reef its own loudspeaker again. 399 00:25:07,660 --> 00:25:11,100 Because, ultimately, we can call the punters to the nightclub, 400 00:25:11,100 --> 00:25:13,420 but I think here we've got the chance to actually rebuild 401 00:25:13,420 --> 00:25:15,900 the nightclub. 402 00:25:15,900 --> 00:25:19,140 What if some cheap underwater speakers pumping out 403 00:25:19,140 --> 00:25:23,740 the Greatest Fish Playlist on repeat could give coral a future? 404 00:25:23,740 --> 00:25:27,860 Visibly thriving reefs rising from the dead in three years. 405 00:25:32,140 --> 00:25:35,500 What we've found out so far has completely blown my mind. 406 00:25:35,500 --> 00:25:39,300 I, as a naturalist, am obsessed with things like frog calls 407 00:25:39,300 --> 00:25:41,660 and bird songs, and all of a sudden, 408 00:25:41,660 --> 00:25:44,700 this whole new era of natural history 409 00:25:44,700 --> 00:25:50,620 is opened up to me, a whole field of study I didn't even think of. 410 00:25:50,620 --> 00:25:54,140 And the possibility that there is the power to use sound 411 00:25:54,140 --> 00:25:58,540 to rejuvenate these reefs, kind of feels like science fiction. 412 00:25:58,540 --> 00:26:00,820 But right here, it could become a reality. 413 00:26:19,820 --> 00:26:24,300 I've come to the very remote north-eastern coast of Greenland. 414 00:26:24,300 --> 00:26:27,500 The nearest settlement is more than 200 miles away. 415 00:26:27,500 --> 00:26:29,860 There's no Wi-Fi, there's no phone signal, 416 00:26:29,860 --> 00:26:33,020 the average temperature is minus nine. 417 00:26:33,020 --> 00:26:37,460 And there's the very real chance that I could bump into a polar bear. 418 00:26:40,980 --> 00:26:44,620 Climate scientists journey here to put their fingers 419 00:26:44,620 --> 00:26:48,540 firmly on the pulse of our changing planet. 420 00:26:48,540 --> 00:26:50,900 I can't think of a better place to be to pick up 421 00:26:50,900 --> 00:26:53,460 from last year's experience. 422 00:26:54,700 --> 00:26:59,660 In 2021, I witnessed just how fast the world's ice is slipping away 423 00:26:59,660 --> 00:27:02,020 from us as our planet warms. 424 00:27:05,460 --> 00:27:09,140 This year, I'm back on an Arctic expedition to understand 425 00:27:09,140 --> 00:27:11,620 another pressure on life here. 426 00:27:11,620 --> 00:27:15,300 Extreme weather events are threatening this ecosystem, 427 00:27:15,300 --> 00:27:18,900 and one of the most ancient creatures on the planet. 428 00:27:20,180 --> 00:27:23,060 So I'm meeting a scientist who's been studying them 429 00:27:23,060 --> 00:27:27,460 for over 20 years, and is developing ingenious solutions 430 00:27:27,460 --> 00:27:31,020 to monitor them in this inhospitable landscape. 431 00:27:33,580 --> 00:27:35,620 I've just arrived at the world-famous 432 00:27:35,620 --> 00:27:37,420 Zackenberg Research Station 433 00:27:37,420 --> 00:27:41,100 to meet Niels Martin Schmidt. And here he is. 434 00:27:41,100 --> 00:27:43,460 I recognise your photo! Niels, nice to meet you. 435 00:27:43,460 --> 00:27:45,860 Nice to meet you. And who have we got here? 436 00:27:45,860 --> 00:27:47,500 This is the musk ox team. 437 00:27:47,500 --> 00:27:51,300 Well, we're in search of musk ox. Have we come to the right place? 438 00:27:51,300 --> 00:27:53,540 You have definitely come to the right place. 439 00:27:53,540 --> 00:27:56,940 This is the high Arctic. This is where you find musk ox. 440 00:27:56,940 --> 00:27:59,700 And since there's only one large herbivore, 441 00:27:59,700 --> 00:28:01,980 they play the key role up here. 442 00:28:01,980 --> 00:28:04,900 It's thought there are up to 12,500 musk oxen 443 00:28:04,900 --> 00:28:06,900 here in northeast Greenland. 444 00:28:08,260 --> 00:28:11,860 Relics of the Ice Age, they're finely tuned to life here, 445 00:28:11,860 --> 00:28:15,140 shaping the landscape for thousands of years. 446 00:28:17,340 --> 00:28:20,700 There's a general perception that, as things warm up, 447 00:28:20,700 --> 00:28:24,620 animals which have adapted to cold climates will simply move 448 00:28:24,620 --> 00:28:28,500 northwards until there's no more northwards left, one presumes. 449 00:28:28,500 --> 00:28:31,980 But of course, if they vacate an ecosystem, it will change. 450 00:28:31,980 --> 00:28:35,300 We have realised over the years they are really 451 00:28:35,300 --> 00:28:37,460 an integrated part of this ecosystem. 452 00:28:37,460 --> 00:28:41,660 They graze in these more productive areas and then they go and rest 453 00:28:41,660 --> 00:28:44,580 and defecate on the more drier spots 454 00:28:44,580 --> 00:28:47,140 and they transport all these nutrients uphill. 455 00:28:47,140 --> 00:28:49,500 And then all this grazing and the trampling they do 456 00:28:49,500 --> 00:28:51,740 when they forage also changes the composition 457 00:28:51,740 --> 00:28:53,980 of the plant communities. 458 00:28:53,980 --> 00:28:57,700 And ultimately, they end up dying and that's also a resource, 459 00:28:57,700 --> 00:29:02,140 at least for the Arctic fox that rely on dead musk oxen in winter. 460 00:29:03,660 --> 00:29:06,340 Niels and his team have excluded musk oxen 461 00:29:06,340 --> 00:29:08,980 from some small test sites. 462 00:29:10,500 --> 00:29:13,460 These areas, devoid of this key species, 463 00:29:13,460 --> 00:29:16,500 resulted in dramatic changes to the vegetation. 464 00:29:17,780 --> 00:29:20,140 So you'll have a completely different ecosystem 465 00:29:20,140 --> 00:29:21,980 if you take away the musk oxen. 466 00:29:21,980 --> 00:29:25,380 The results have shown that in the sites without musk oxen, 467 00:29:25,380 --> 00:29:29,100 the vegetation is far less effective at absorbing carbon 468 00:29:29,100 --> 00:29:31,020 from the atmosphere. 469 00:29:31,020 --> 00:29:34,700 Carbon capture is very much influenced by animal grazing. 470 00:29:34,700 --> 00:29:37,780 So every time an animal walks into an area and starts to graze, 471 00:29:37,780 --> 00:29:39,900 the plant will respond by regrowing. 472 00:29:39,900 --> 00:29:43,260 So that will increase the uptake of carbon into the system. 473 00:29:43,260 --> 00:29:45,940 These interactions made by the musk oxen, 474 00:29:45,940 --> 00:29:49,460 they are part of the entire climate feedback system. 475 00:29:51,140 --> 00:29:54,700 So, it's not just climate impacting the musk oxen - 476 00:29:54,700 --> 00:29:57,940 their presence feeds back to the climate system, too. 477 00:29:59,300 --> 00:30:03,020 Niels is trying to understand how musk oxen will respond 478 00:30:03,020 --> 00:30:05,100 to a rapidly shifting climate. 479 00:30:07,420 --> 00:30:10,660 And it's not steady warming that worries him most. 480 00:30:10,660 --> 00:30:14,020 He thinks an increase in extreme weather will eventually 481 00:30:14,020 --> 00:30:16,900 push them to the brink. 482 00:30:16,900 --> 00:30:20,300 But the Arctic is vast, difficult to access, 483 00:30:20,300 --> 00:30:25,060 and for three months of the year, Zackenberg is in darkness. 484 00:30:25,060 --> 00:30:27,940 Niels hopes high-tech collars and clever gadgets 485 00:30:27,940 --> 00:30:32,220 will offer a solution to gain insight into how musk oxen survive 486 00:30:32,220 --> 00:30:35,460 in the depths of winter, when he can't be here. 487 00:30:36,540 --> 00:30:39,740 Tomorrow, the adventure begins. 488 00:30:39,740 --> 00:30:41,900 I'm going to like it here, I think. 489 00:30:41,900 --> 00:30:46,780 It's my type of place. Spick and span, neat, orderly. 490 00:30:46,780 --> 00:30:50,860 I'm going to be here for nearly a week with no phone signal, 491 00:30:50,860 --> 00:30:53,580 no news, nothing. 492 00:30:53,580 --> 00:30:55,740 I might stay here forever! 493 00:30:55,740 --> 00:30:59,780 Maybe I could just - I don't know - tend to the oxen. 494 00:31:04,940 --> 00:31:09,460 TEAM CALL OUT INSTRUCTIONS 495 00:31:09,460 --> 00:31:12,180 Ooh! Perfect! That is good. 496 00:31:13,820 --> 00:31:17,340 The scientists have done their necessary preparation and rehearsal, 497 00:31:17,340 --> 00:31:19,460 so we've got to the stage now 498 00:31:19,460 --> 00:31:22,180 whereby we need to spot the musk oxen. 499 00:31:23,620 --> 00:31:27,020 But the musk oxen's range is vast, covering an area 500 00:31:27,020 --> 00:31:31,660 of around 2,000 square miles across this hostile landscape. 501 00:31:33,300 --> 00:31:35,620 Today, we're in luck. 502 00:31:35,620 --> 00:31:39,500 10, 11, 12, 13, 14, 15, 16. 17 in that group. 503 00:31:39,500 --> 00:31:44,140 The team spread out like a pack of wolves, surrounding the group, 504 00:31:44,140 --> 00:31:46,380 and driving them to higher ground. 505 00:31:48,700 --> 00:31:50,540 OK, I see you, thank you. 506 00:31:51,980 --> 00:31:54,460 Currently we are trying to move the herd, 507 00:31:54,460 --> 00:31:58,100 to make them stay put so we can have the vet approach. 508 00:31:58,100 --> 00:32:00,540 But they're not behaving right now. 509 00:32:00,540 --> 00:32:04,300 It's a process that requires guile and patience. 510 00:32:04,300 --> 00:32:08,060 The musk oxen have formed a defensive group. 511 00:32:08,060 --> 00:32:11,900 All I can see is a series of heads and horns facing outwards. 512 00:32:13,020 --> 00:32:14,860 This group has no calves. 513 00:32:14,860 --> 00:32:16,620 Most of the females would be suitable here. 514 00:32:16,620 --> 00:32:18,260 So, if they've got no calf, 515 00:32:18,260 --> 00:32:21,700 that means that they are likely to give birth next year? Yes, yes. 516 00:32:21,700 --> 00:32:25,140 The calves are born between April and May. 517 00:32:25,140 --> 00:32:27,820 I would expect that they're actually pregnant now. Yes. 518 00:32:27,820 --> 00:32:29,900 Which would be great for your study. Yeah. 519 00:32:31,220 --> 00:32:34,780 Niels' research focuses on females and their babies, 520 00:32:34,780 --> 00:32:38,340 because understanding the next generation is vital 521 00:32:38,340 --> 00:32:41,020 in protecting the future of this population. 522 00:32:41,020 --> 00:32:44,660 OK. I think we should start to move a bit closer. 523 00:32:47,140 --> 00:32:50,060 Now they are moving. I think they are stopping. 524 00:32:50,060 --> 00:32:52,260 Wait a minute. 525 00:32:52,260 --> 00:32:55,420 Nothing prepares the team for the highs and lows 526 00:32:55,420 --> 00:32:58,020 of chasing musk oxen across the tundra! 527 00:33:03,860 --> 00:33:07,780 Our first attempt to encircle the musk oxen and move them 528 00:33:07,780 --> 00:33:11,300 to somewhere where they would be calm enough to remain 529 00:33:11,300 --> 00:33:15,380 so that we could dart one or more of them has unfortunately failed. 530 00:33:15,380 --> 00:33:19,100 They fled over to the other side of the hill. 531 00:33:20,620 --> 00:33:25,100 It's strenuous work, walking over 12 miles a day, 532 00:33:25,100 --> 00:33:28,860 laden with kit, but the scientists push on. 533 00:33:28,860 --> 00:33:33,220 During this expedition, Niels is hoping to deploy 21 collars. 534 00:33:33,220 --> 00:33:36,540 But in three weeks' time, this place closes down 535 00:33:36,540 --> 00:33:41,100 for the Arctic winter - no-one gets in, no-one gets out. 536 00:33:44,140 --> 00:33:45,660 There they are! 537 00:33:47,660 --> 00:33:51,380 Our mission is to get them onto that steep hill there. 538 00:33:51,380 --> 00:33:53,780 Musk oxen like to run uphill. 539 00:33:53,780 --> 00:33:56,420 When they're on the top, they stand still and look down. 540 00:33:56,420 --> 00:33:58,100 And then the vet can approach. 541 00:33:59,300 --> 00:34:02,100 Oh, whoa, whoa! They are up in, like, five seconds. 542 00:34:02,100 --> 00:34:04,340 Just follow along the ridge, guys. 543 00:34:04,340 --> 00:34:08,460 The team work together to keep the herd on the brow of the hill. 544 00:34:10,060 --> 00:34:13,700 So, if you are in the south position, move out of the area. 545 00:34:13,700 --> 00:34:16,300 So my role at the moment is to stand here and be a human, 546 00:34:16,300 --> 00:34:19,140 which is challenging at times in this temperature! 547 00:34:19,140 --> 00:34:21,820 But ideally the musk oxen won't come down if they see me 548 00:34:21,820 --> 00:34:23,740 standing here, and if they show any signs, 549 00:34:23,740 --> 00:34:25,780 I'm going to wave my arms and go, 550 00:34:25,780 --> 00:34:29,380 "Whoa, musk oxen," or something like that. 551 00:34:29,380 --> 00:34:31,980 I'm very confident that I'll be able to stop a musk oxen 552 00:34:31,980 --> 00:34:34,460 in its hooves, no question about it. 553 00:34:37,340 --> 00:34:41,660 The vet must get to within 45 metres to dart. 554 00:34:41,660 --> 00:34:43,620 I am ready to shoot, everybody. 555 00:34:43,620 --> 00:34:45,620 SHOT FIRED 556 00:34:46,980 --> 00:34:49,060 The dart is in the female, 557 00:34:49,060 --> 00:34:51,340 so we're just going to wait for that to kick in. 558 00:34:55,980 --> 00:34:59,740 The cow is down. Yeah, I have her. Super. We got her! 559 00:34:59,740 --> 00:35:02,100 Once the animal is anaesthetised, 560 00:35:02,100 --> 00:35:05,340 it's essential that everyone works as a team as rapidly as possible. 561 00:35:05,340 --> 00:35:08,780 The animal's welfare is absolutely paramount here. 562 00:35:08,780 --> 00:35:10,740 One, two, three! 563 00:35:10,740 --> 00:35:13,580 She is weighed using a series of luggage scales. 564 00:35:13,580 --> 00:35:15,220 And let go. 565 00:35:15,220 --> 00:35:17,700 OK, Chris, your numbers? 566 00:35:17,700 --> 00:35:21,780 23.47. 11.5. 11 and 14. 567 00:35:21,780 --> 00:35:25,900 She comes in at a healthy 217kg. 568 00:35:26,980 --> 00:35:28,500 She's measured... 569 00:35:29,820 --> 00:35:32,980 Blood is taken to assess her overall health 570 00:35:32,980 --> 00:35:36,700 and, crucially, to identify if she is pregnant. 571 00:35:36,700 --> 00:35:39,540 This is about bigger-picture ecological changes, isn't it? 572 00:35:39,540 --> 00:35:40,780 Yes. 573 00:35:40,780 --> 00:35:43,060 So they're a perfect indicator, basically, 574 00:35:43,060 --> 00:35:45,900 for some of the climatic changes that are taking place here. 575 00:35:45,900 --> 00:35:50,100 What we basically can do is to understand the full extent 576 00:35:50,100 --> 00:35:53,620 of the role the musk oxen play in an ecosystem. 577 00:35:53,620 --> 00:35:58,260 And it's not just climate impacting musk oxen, it's all interlinked. 578 00:36:00,700 --> 00:36:03,140 There are many impressive things about the musk ox, 579 00:36:03,140 --> 00:36:05,140 I've got to say, but just look at the fur. 580 00:36:05,140 --> 00:36:08,700 On the outside, you've got these really long guard hairs, 581 00:36:08,700 --> 00:36:11,660 but if I try and tease it apart to reveal the underfur here, 582 00:36:11,660 --> 00:36:13,220 the insulating layer, 583 00:36:13,220 --> 00:36:16,540 and there you can just see that white line, that's the skin. 584 00:36:16,540 --> 00:36:18,540 But look at the depth of that. 585 00:36:19,620 --> 00:36:22,420 No wonder they can survive up in the Arctic. 586 00:36:23,420 --> 00:36:25,500 Oh, and what about the smell? 587 00:36:25,500 --> 00:36:27,740 Hmmm. It's a bit sheepy, actually. 588 00:36:28,700 --> 00:36:32,620 No, not really. No, it's unique, but not musky. 589 00:36:36,540 --> 00:36:39,940 Because of this incredible hair, musk oxen can survive 590 00:36:39,940 --> 00:36:44,660 in temperatures between +10 and -40 degrees Celsius. 591 00:36:45,980 --> 00:36:49,260 Remarkably, these hairs can also paint a picture 592 00:36:49,260 --> 00:36:52,380 of what she's eaten for the past five years, 593 00:36:52,380 --> 00:36:56,900 with each two millimetres of the strand representing nine days 594 00:36:56,900 --> 00:36:58,820 of her diet. 595 00:36:58,820 --> 00:37:02,220 This research provides clues about the surrounding environment. 596 00:37:02,220 --> 00:37:06,820 Periods of starvation could indicate particularly heavy snow events 597 00:37:06,820 --> 00:37:09,020 that prevented her from feeding. 598 00:37:11,180 --> 00:37:15,220 Such a specialist in such a fantastic, remote, 599 00:37:15,220 --> 00:37:18,020 and beautiful environment. This is a real privilege. 600 00:37:19,980 --> 00:37:23,580 Limited access to the Arctic means Niels can't be here 601 00:37:23,580 --> 00:37:25,500 for calving season, 602 00:37:25,500 --> 00:37:29,180 so the vet has inserted a vaginal implant transmitter. 603 00:37:29,180 --> 00:37:33,780 This vaginal transmitter will give a signal once she gives birth. 604 00:37:33,780 --> 00:37:37,420 And the idea now is that it will be egested at the point 605 00:37:37,420 --> 00:37:40,180 of giving birth, and then we'll know exactly where and when 606 00:37:40,180 --> 00:37:44,820 she's given birth! Exactly. Great gadget! Very clever. 607 00:37:44,820 --> 00:37:47,980 We're going to reverse the anaesthetic. 608 00:37:47,980 --> 00:37:50,860 And here she goes. Good girl. Whooo! 609 00:38:03,060 --> 00:38:04,580 I'm really tired. 610 00:38:04,580 --> 00:38:08,060 It's because I've been tramping across an Arctic tundra all day. 611 00:38:08,060 --> 00:38:09,980 These guys are like, you know, 612 00:38:09,980 --> 00:38:12,700 some sort of Danish scientific athlete. 613 00:38:12,700 --> 00:38:16,900 They just run up and down the tundra mountain sides like, 614 00:38:16,900 --> 00:38:20,780 I don't know, chamois, mountain goat! 615 00:38:20,780 --> 00:38:22,740 But I shouldn't complain - 616 00:38:22,740 --> 00:38:25,780 I've got a strong feeling tomorrow is going to be even better. 617 00:38:29,220 --> 00:38:32,220 Cultural burning is a powerful tool for reducing 618 00:38:32,220 --> 00:38:34,740 the impact of wildfires, 619 00:38:34,740 --> 00:38:39,940 but another nature-based solution can also be found in California. 620 00:38:42,180 --> 00:38:43,620 The beaver. 621 00:38:44,980 --> 00:38:47,940 The Tule River Tribe have always understood 622 00:38:47,940 --> 00:38:51,620 the benefits of this enigmatic ecosystem engineer. 623 00:38:51,620 --> 00:38:53,780 And now, this traditional knowledge 624 00:38:53,780 --> 00:38:57,220 is being complemented by exciting new science. 625 00:38:59,060 --> 00:39:02,220 I'm meeting ecohydrologist Dr Emily Fairfax. 626 00:39:05,180 --> 00:39:09,820 So, what I study is how beavers impact fire-affected landscapes. 627 00:39:09,820 --> 00:39:11,980 And in these kinds of settings, 628 00:39:11,980 --> 00:39:15,580 it's really quite incredible seeing what they can do. 629 00:39:19,380 --> 00:39:21,060 Oh, wow! Yeah. 630 00:39:23,580 --> 00:39:25,740 This doesn't look like it belongs here. 631 00:39:25,740 --> 00:39:27,260 It's pretty impressive. 632 00:39:27,260 --> 00:39:29,900 Coming from all of this ash and all these dead trees. 633 00:39:29,900 --> 00:39:32,780 I can't believe what I'm seeing. 634 00:39:32,780 --> 00:39:34,700 It's a proper little oasis. 635 00:39:34,700 --> 00:39:39,380 Mm-hm. And it is completely engineered by the beavers here. 636 00:39:39,380 --> 00:39:42,780 The beavers transformed this into an absolutely thriving wetland. 637 00:39:42,780 --> 00:39:45,980 This is absolutely stunning. And look! Yeah. 638 00:39:45,980 --> 00:39:49,140 You've got some of their little chew marks here. 639 00:39:51,340 --> 00:39:53,380 So, during the fire, 640 00:39:53,380 --> 00:39:55,260 are you telling me this just didn't burn? 641 00:39:55,260 --> 00:39:56,980 No, it didn't burn at all. 642 00:39:56,980 --> 00:39:59,100 So these trees, they're burnt right up on the edge. 643 00:39:59,100 --> 00:40:00,700 If you were a beaver during this, 644 00:40:00,700 --> 00:40:03,500 you are encircled with walls of fire. 645 00:40:05,260 --> 00:40:07,620 I thought it was too much for them, and then the first time 646 00:40:07,620 --> 00:40:09,780 I came up here and I see this, and I'm like... 647 00:40:09,780 --> 00:40:11,100 I ran down into the pond. 648 00:40:11,100 --> 00:40:14,900 I was like, this is so amazing! The beavers were safe. 649 00:40:14,900 --> 00:40:16,900 It was just way too wet to burn. 650 00:40:16,900 --> 00:40:19,340 I am almost speechless. 651 00:40:19,340 --> 00:40:22,140 I mean, this is mind-blowing, it really is. 652 00:40:22,140 --> 00:40:25,060 Almost three hectares in size, 653 00:40:25,060 --> 00:40:29,500 this wetland is maintained by one family of four beavers. 654 00:40:29,500 --> 00:40:32,060 And it would have taken them just two years to build. 655 00:40:33,900 --> 00:40:37,820 Emily uses her drone to show me the complexity of their work. 656 00:40:37,820 --> 00:40:41,620 So, what we have here is this main primary beaver dam. 657 00:40:41,620 --> 00:40:44,140 But "busy as a beaver" is a phrase for a real reason - 658 00:40:44,140 --> 00:40:46,260 they keep building. Look at that! 659 00:40:46,260 --> 00:40:49,740 They've dug a ton of canals just radiating out from their pond. 660 00:40:49,740 --> 00:40:52,900 And I presume that's contributing to the ground water, as well? 661 00:40:52,900 --> 00:40:55,740 What you can't actually see is that, beneath all of this, 662 00:40:55,740 --> 00:40:58,460 there's about five times as much ground water storage - 663 00:40:58,460 --> 00:41:00,060 we're standing on it now. 664 00:41:00,060 --> 00:41:02,380 And any plant that can access all that water, 665 00:41:02,380 --> 00:41:04,700 that when you have something like a wildfire come through, 666 00:41:04,700 --> 00:41:06,180 are just too wet to burn. 667 00:41:07,940 --> 00:41:12,340 It's this healthy plant life that Emily uses to collect her data. 668 00:41:15,020 --> 00:41:19,740 Multi-spectral drones and satellites allow her to measure burn severity 669 00:41:19,740 --> 00:41:24,660 by analysing the "greenness" of landscapes with and without beavers. 670 00:41:26,860 --> 00:41:30,900 So far, her results have shown that beaver-dammed areas burn 671 00:41:30,900 --> 00:41:35,500 three times less intensely than when beavers are absent. 672 00:41:35,500 --> 00:41:40,140 Why would beavers work so hard to build such an extensive complex? 673 00:41:40,140 --> 00:41:42,980 When beavers are in the water, they're very safe, 674 00:41:42,980 --> 00:41:45,220 they're excellent swimmers, they hold their breath 675 00:41:45,220 --> 00:41:47,700 for 15 minutes, no predators can get them there. 676 00:41:47,700 --> 00:41:51,460 But, as soon as they're out on the land, easy pickings for predators. 677 00:41:51,460 --> 00:41:54,580 Like, that's a big chicken nugget just walking around the landscape! 678 00:41:54,580 --> 00:41:58,140 And so they want to have more water area to keep themselves safe. 679 00:41:58,140 --> 00:42:01,740 So how effective, then, can one beaver family be helping 680 00:42:01,740 --> 00:42:06,100 to mitigate the force of the fires that are raging through California? 681 00:42:06,100 --> 00:42:10,060 Well, this family at least was able to protect this entire wetland. 682 00:42:10,060 --> 00:42:12,740 Scale that up, and instead of patches, 683 00:42:12,740 --> 00:42:15,420 you're looking at huge strings of fireproof landscape - 684 00:42:15,420 --> 00:42:17,140 that's a firebreak. 685 00:42:17,140 --> 00:42:19,900 Each one of those is like a little speedbump and so you can start 686 00:42:19,900 --> 00:42:23,380 to fundamentally alter how fire is moving through the landscape. OK. 687 00:42:30,580 --> 00:42:32,540 But there's a problem. 688 00:42:32,540 --> 00:42:36,860 Beavers were hunted to near extinction over 100 years ago, 689 00:42:36,860 --> 00:42:41,620 leaving few remaining wild populations in California. 690 00:42:41,620 --> 00:42:44,260 Today, many people regard them as pests, 691 00:42:44,260 --> 00:42:48,260 and when their dam building clashes with human infrastructure, 692 00:42:48,260 --> 00:42:50,300 they are often killed. 693 00:42:55,020 --> 00:42:58,140 If we get things right in California when it comes to beavers, 694 00:42:58,140 --> 00:42:59,940 what would you like to see happen? 695 00:42:59,940 --> 00:43:02,580 Let's relocate those beavers and help re-establish them 696 00:43:02,580 --> 00:43:05,140 in some of these watersheds where they've been gone for so long. 697 00:43:07,020 --> 00:43:11,660 Emily and the Tule River Tribe are part of a network of organisations 698 00:43:11,660 --> 00:43:16,100 and communities working to bring beavers back to California. 699 00:43:16,100 --> 00:43:20,180 And last year, real progress was made. 700 00:43:20,180 --> 00:43:23,900 New legislation was passed, making it legal to relocate 701 00:43:23,900 --> 00:43:27,220 so-called nuisance beavers in the coming years. 702 00:43:30,420 --> 00:43:32,700 But I also can't help thinking, 703 00:43:32,700 --> 00:43:36,540 will there come a time when what beavers do best 704 00:43:36,540 --> 00:43:40,260 simply won't be enough in the face of our ever-increasing threats? 705 00:43:40,260 --> 00:43:43,460 You know, beavers are incredibly resilient, 706 00:43:43,460 --> 00:43:46,460 they can keep working and fixing things for a long time. 707 00:43:46,460 --> 00:43:49,020 But at some point, they run out of resources, too, 708 00:43:49,020 --> 00:43:50,540 then they can't make these patches. 709 00:43:50,540 --> 00:43:53,340 We have to deal with the root causes of climate change. 710 00:43:53,340 --> 00:43:56,780 The beavers, they cannot cut our emissions for us, 711 00:43:56,780 --> 00:43:59,020 they cannot stop the trajectory of climate change. 712 00:43:59,020 --> 00:44:00,860 That's on us - that's our job. 713 00:44:02,220 --> 00:44:06,100 California has effective nature-based solutions at its 714 00:44:06,100 --> 00:44:10,860 fingertips that can help build more resilience in its forests. 715 00:44:10,860 --> 00:44:14,340 The hope now is that further legislation will lead to 716 00:44:14,340 --> 00:44:19,220 their implementation so that nature can carry out these vital roles. 717 00:44:19,220 --> 00:44:23,380 As for beavers, the next step is to work out how to successfully 718 00:44:23,380 --> 00:44:26,340 reintroduce them into their rightful home. 719 00:44:29,540 --> 00:44:33,700 Further up the coast, in Washington, biologist Molly Alves is 720 00:44:33,700 --> 00:44:37,900 already making headway and is preparing to share her work. 721 00:44:37,900 --> 00:44:39,340 Wow, that is a big dam. 722 00:44:39,340 --> 00:44:41,460 That's a big dam. 723 00:44:41,460 --> 00:44:45,060 She's spent the last eight years working with another 724 00:44:45,060 --> 00:44:47,820 indigenous community - the Tulalip Tribes. 725 00:44:47,820 --> 00:44:52,300 And so far, over 300 beavers have been relocated under their watch. 726 00:44:55,020 --> 00:44:57,580 All right, safety is off, traps are live. 727 00:45:04,100 --> 00:45:07,940 Molly and her team temporarily house persecuted beavers 728 00:45:07,940 --> 00:45:09,500 waiting to be rehomed. 729 00:45:10,820 --> 00:45:12,660 When a new beaver arrives, 730 00:45:12,660 --> 00:45:15,740 they take the opportunity to gather vital information. 731 00:45:20,580 --> 00:45:23,180 First, we are going to take a hair sample 732 00:45:23,180 --> 00:45:25,580 to have a DNA sample from this beaver. 733 00:45:25,580 --> 00:45:26,780 Very quick pull. 734 00:45:28,060 --> 00:45:29,580 Beautiful. 735 00:45:29,580 --> 00:45:30,820 Next up, an ear tag. 736 00:45:32,100 --> 00:45:34,420 Nice work, Molly. That was so quick. 737 00:45:36,500 --> 00:45:40,660 Finally, we need to identify if this is a male or female. 738 00:45:40,660 --> 00:45:43,220 And there's only one way to find out. 739 00:45:44,780 --> 00:45:45,820 Whoa. 740 00:45:46,900 --> 00:45:49,420 So... So, what are you doing now? 741 00:45:49,420 --> 00:45:53,620 Now I am going to access the cloaca of the beaver. 742 00:45:55,060 --> 00:45:58,420 And cloaca houses all of the reproductive organs. 743 00:45:58,420 --> 00:46:01,380 It's where all the excrement comes out. 744 00:46:01,380 --> 00:46:02,620 And with beavers, 745 00:46:02,620 --> 00:46:06,700 they have these castor glands that we need to express. 746 00:46:06,700 --> 00:46:09,940 Based on the scent, colour, and viscosity of the castor, 747 00:46:09,940 --> 00:46:11,460 we can tell if it's a male or female. 748 00:46:11,460 --> 00:46:14,500 If it's more viscous and smells like motor oil 749 00:46:14,500 --> 00:46:17,660 and is more of a brownish colour, that's a male. 750 00:46:17,660 --> 00:46:21,980 And if it's more white and milky and smells like kind of bad cheese, 751 00:46:21,980 --> 00:46:23,780 that's a female. 752 00:46:23,780 --> 00:46:26,260 I'm almost hoping for a male, I don't know why! 753 00:46:26,260 --> 00:46:28,180 There we have a gland expressed. Yeah. 754 00:46:28,180 --> 00:46:29,900 You have to tell me what you think. 755 00:46:31,740 --> 00:46:32,900 That's a female. 756 00:46:34,140 --> 00:46:35,340 It sure is! 757 00:46:37,340 --> 00:46:41,340 All right! Right, I'm never going to forget that moment. 758 00:46:41,340 --> 00:46:42,780 Everything's done. 759 00:46:42,780 --> 00:46:45,980 Now we transfer this adult female to her temporary home. 760 00:46:47,580 --> 00:46:49,780 Beaver families form strong social bonds, 761 00:46:49,780 --> 00:46:51,100 so the rest of her family 762 00:46:51,100 --> 00:46:54,540 will be trapped and brought here to join her. 763 00:46:56,060 --> 00:46:58,860 Meanwhile, an adult male and his four kits 764 00:46:58,860 --> 00:47:01,140 are ready to be moved to their new home. 765 00:47:03,620 --> 00:47:05,500 But the mother is missing. 766 00:47:07,660 --> 00:47:10,780 As we were trapping this site, a wildfire broke out 767 00:47:10,780 --> 00:47:13,940 at the location, so we weren't able to return to capture her. 768 00:47:13,940 --> 00:47:15,220 You're kidding. 769 00:47:15,220 --> 00:47:18,980 Once the fire subsides, we'll try to go get the adult female 770 00:47:18,980 --> 00:47:22,420 and reunite her with her family at the release site. 771 00:47:30,620 --> 00:47:33,540 Yeah? Beautiful! Well done! 772 00:47:39,860 --> 00:47:43,460 Molly has identified a suitable release site 773 00:47:43,460 --> 00:47:47,700 for this family of five in the Mount Baker-Snoqualmie National Forest. 774 00:47:50,580 --> 00:47:54,620 She hopes they'll turn a drying river into a thriving wetland 775 00:47:54,620 --> 00:47:56,580 and keep wildfires at bay. 776 00:48:04,980 --> 00:48:06,500 We're done. Let's do this. 777 00:48:06,500 --> 00:48:08,260 Yes, honey, I know. 778 00:48:08,260 --> 00:48:11,020 One, two, three. 779 00:48:24,420 --> 00:48:25,740 Dad! 780 00:48:28,620 --> 00:48:31,900 Come on, Dad. Here we go, here we go. 781 00:48:31,900 --> 00:48:33,060 Out with a splash. 782 00:48:36,060 --> 00:48:37,900 He wants his other babies. 783 00:48:47,580 --> 00:48:49,820 That is the most glorious sight. 784 00:48:54,540 --> 00:48:59,860 How soon before this begins to transform into proper beaver meadow? 785 00:48:59,860 --> 00:49:03,140 By next summer, I hope that where we're standing, 786 00:49:03,140 --> 00:49:05,860 we would be swimming in a cool, deep pool. 787 00:49:07,220 --> 00:49:09,860 There will be bears, cougars, bobcats, 788 00:49:09,860 --> 00:49:13,660 all kinds of amphibians and migratory songbirds. 789 00:49:13,660 --> 00:49:16,820 You name it - they thrive in beaver-ponded areas. 790 00:49:18,540 --> 00:49:21,580 So we are taking our knowledge and sharing it 791 00:49:21,580 --> 00:49:25,300 so that programmes like this can benefit other states, as well. 792 00:49:26,300 --> 00:49:30,780 So, the sooner that folks can start to relinquish a bit of the control 793 00:49:30,780 --> 00:49:34,420 and let the beavers protect us, 794 00:49:34,420 --> 00:49:36,300 the better off we'll be in the future. 795 00:49:38,860 --> 00:49:42,700 I am now in awe of this gorgeous little semi-aquatic rodent 796 00:49:42,700 --> 00:49:45,540 who is now exploring his new home. 797 00:49:56,820 --> 00:50:02,060 I have been fascinated by what I've seen in Washington and California. 798 00:50:02,060 --> 00:50:06,580 The meeting of Indigenous knowledge and Western science is helping 799 00:50:06,580 --> 00:50:11,580 to build solutions to the wildfire crisis in a really tangible way. 800 00:50:12,980 --> 00:50:17,340 Recognising the importance of traditional ecological wisdom 801 00:50:17,340 --> 00:50:19,620 is long overdue, but it is so crucial 802 00:50:19,620 --> 00:50:22,140 because this profound understanding 803 00:50:22,140 --> 00:50:26,340 of the natural world and how to harness nature-based solutions 804 00:50:26,340 --> 00:50:31,300 is going to be one of our strongest allies against climate change. 805 00:50:31,300 --> 00:50:34,540 But, of course, there's a lot more work to be done, 806 00:50:34,540 --> 00:50:36,780 and that's where each of us comes in. 807 00:50:36,780 --> 00:50:40,540 We all can help with this - with everything we do in life, 808 00:50:40,540 --> 00:50:43,700 we can choose to support the planet 809 00:50:43,700 --> 00:50:47,300 and that can lead to even bigger change. 810 00:50:57,220 --> 00:51:01,100 After a night of snow, I wake up to a transformed landscape. 811 00:51:05,100 --> 00:51:08,540 But a snow day in an Arctic research station 812 00:51:08,540 --> 00:51:11,380 doesn't result in snowball fights and snow angels. 813 00:51:12,820 --> 00:51:16,300 It's a chance to review data from retrieved collars. 814 00:51:17,820 --> 00:51:20,740 To date, Niels has collared over 60 musk oxen. 815 00:51:22,340 --> 00:51:25,860 Super-advanced collars determine their location, 816 00:51:25,860 --> 00:51:29,660 as well as the movement of their heads and necks in three dimensions. 817 00:51:31,180 --> 00:51:34,060 If you are grazing, your head will be moving like this 818 00:51:34,060 --> 00:51:35,980 or if you are walking, it will be more like this. 819 00:51:35,980 --> 00:51:38,340 It's a bit like my fitness device. It's very much the same. 820 00:51:38,340 --> 00:51:40,740 It knows when I'm walking, when I'm resting. Yes, exactly. 821 00:51:40,740 --> 00:51:43,060 So we can infer behaviour based on the data 822 00:51:43,060 --> 00:51:44,620 we can extract from these collars. 823 00:51:44,620 --> 00:51:47,540 So we have seen that during winter, for instance, they will rest 824 00:51:47,540 --> 00:51:51,340 approximately half the time, whereas in summer they shift gear and 825 00:51:51,340 --> 00:51:54,940 turn to foraging almost continuously throughout the light season. 826 00:51:54,940 --> 00:51:59,380 Their data has also revealed that when not pregnant, musk oxen can 827 00:51:59,380 --> 00:52:04,100 drop their body temperature 0.8 degrees Celsius to conserve energy 828 00:52:04,100 --> 00:52:08,220 and save themselves about 20 kilos of body weight 829 00:52:08,220 --> 00:52:09,740 over the winter. 830 00:52:09,740 --> 00:52:13,420 They feed over summer and build up these huge fat depots 831 00:52:13,420 --> 00:52:16,540 and then they live off these through the winter 832 00:52:16,540 --> 00:52:19,780 and develop the foetus based on these resources. 833 00:52:19,780 --> 00:52:23,460 But extreme snowfall events are becoming problematic. 834 00:52:24,660 --> 00:52:28,220 If snow conditions are really bad - that means a lot of snow - 835 00:52:28,220 --> 00:52:31,300 they can't forage and refuel over winter 836 00:52:31,300 --> 00:52:34,180 and they have to rely 100% on these depots 837 00:52:34,180 --> 00:52:37,980 and that means that they will skip the calf in order to survive. 838 00:52:40,140 --> 00:52:44,020 In years of heavy snow, the musk oxen run out of fat reserves 839 00:52:44,020 --> 00:52:47,260 and will abort their pregnancies. 840 00:52:47,260 --> 00:52:52,660 It can take a year before they are strong enough to try breeding again. 841 00:52:52,660 --> 00:52:55,540 If you have to adapt to such a variability, 842 00:52:55,540 --> 00:52:58,340 that will sort of push the organism to the limit. 843 00:52:58,340 --> 00:53:02,540 Even in the good snow years, when 70% of cows give birth, 844 00:53:02,540 --> 00:53:06,060 their babies are born without their waterproof guard hairs. 845 00:53:08,540 --> 00:53:12,500 Increasingly early and erratic rainfall can be fatal. 846 00:53:12,500 --> 00:53:16,620 If they suffer a soaking, pneumonia sets in, and in some years, 847 00:53:16,620 --> 00:53:19,980 all the calves will perish in the slushy wet spring. 848 00:53:26,340 --> 00:53:30,300 But there's still a missing piece of the puzzle. 849 00:53:30,300 --> 00:53:33,900 The vaginal implant transmitters tell Niels exactly 850 00:53:33,900 --> 00:53:37,660 when certain females give birth, but he still knows very little 851 00:53:37,660 --> 00:53:40,500 about what happens to the calves after that... 852 00:53:40,500 --> 00:53:42,380 Hi, Niels. Hi, Chris. 853 00:53:42,380 --> 00:53:43,780 ..until now. 854 00:53:46,100 --> 00:53:48,540 We have these camera collars - they have a small camera here. 855 00:53:48,540 --> 00:53:51,500 Oh, wow. That's fantastic. Yes. 856 00:53:51,500 --> 00:53:54,140 So it's the first time we will use these 857 00:53:54,140 --> 00:53:58,340 and hopefully we will get some nice footage of the newborn. 858 00:53:58,340 --> 00:54:02,180 These cameras will also shed a light on a key part of the musk oxen's 859 00:54:02,180 --> 00:54:05,620 life cycle that's never been observed here, 860 00:54:05,620 --> 00:54:08,500 yet is paramount to the health of their population - 861 00:54:08,500 --> 00:54:12,820 they will reveal how the mother's behaviour changes when she has 862 00:54:12,820 --> 00:54:17,460 a calf in tow, and whether that calf can survive a more volatile climate. 863 00:54:18,860 --> 00:54:22,340 Niels has already noticed a decline in the musk ox population 864 00:54:22,340 --> 00:54:25,700 by a third in less than ten years. 865 00:54:25,700 --> 00:54:29,460 But with all this new tech and growing data, there's hope 866 00:54:29,460 --> 00:54:33,220 these majestic mammals will be better protected in the future. 867 00:54:39,620 --> 00:54:41,580 Finally, the snow subsides. 868 00:54:43,580 --> 00:54:45,180 But with valuable time lost 869 00:54:45,180 --> 00:54:48,540 and the end of the field season fast approaching, 870 00:54:48,540 --> 00:54:53,140 the team must battle the elements to get the camera collars deployed. 871 00:55:01,580 --> 00:55:03,700 RADIO: Can you give an update? 872 00:55:03,700 --> 00:55:06,220 It's looking good so far. 873 00:55:13,580 --> 00:55:15,180 Excellent. 874 00:55:19,860 --> 00:55:24,780 Over here we have an audio logger that will, for the next six weeks, 875 00:55:24,780 --> 00:55:27,420 continuously record every sound in the neighbourhood of a musk ox. 876 00:55:27,420 --> 00:55:28,820 Cor, it's fantastic. 877 00:55:28,820 --> 00:55:31,860 So, again, this can be used to validate their behaviours. 878 00:55:31,860 --> 00:55:33,780 So it's an exciting year with technology. 879 00:55:33,780 --> 00:55:35,540 You've got the audio loggers, the cameras, 880 00:55:35,540 --> 00:55:37,700 but you're going to have to wait how long to get the data? 881 00:55:37,700 --> 00:55:38,860 One and a half years. 882 00:55:38,860 --> 00:55:41,100 And then we need to recover all the collars also. Yeah. 883 00:55:41,100 --> 00:55:42,900 And they can be spread out in this area. 884 00:55:50,420 --> 00:55:53,020 If you'd have told me that, when I was 61, 885 00:55:53,020 --> 00:55:56,940 I'd be standing in Arctic Greenland helping a bunch of brilliant 886 00:55:56,940 --> 00:56:00,660 scientists tag a musk oxen, I'd have burst. 887 00:56:00,660 --> 00:56:03,860 I mean, this is just phenomenal. Look at this landscape. 888 00:56:03,860 --> 00:56:06,740 Harsh, hostile, but extremely beautiful. 889 00:56:08,380 --> 00:56:12,500 And these supremely well-adapted animals are living out here 890 00:56:12,500 --> 00:56:14,740 throughout the course of the year. 891 00:56:14,740 --> 00:56:16,420 But what I like even more 892 00:56:16,420 --> 00:56:19,460 is not that I've got close to an animal, but I've got close to 893 00:56:19,460 --> 00:56:23,540 an animal which is now telling us a story about our changing planet. 894 00:56:23,540 --> 00:56:26,180 Because we're all too aware of the fact that we're in 895 00:56:26,180 --> 00:56:29,380 a deep, deep crisis and we've got to do something about it, 896 00:56:29,380 --> 00:56:33,500 and we can only do something about it if we better understand it. 897 00:56:33,500 --> 00:56:37,700 So, for me, today is a double, double win. 898 00:56:37,700 --> 00:56:41,660 Brilliant animal, great location, fantastic scientists, 899 00:56:41,660 --> 00:56:45,700 and more knowledge that could help us all protect our planet. 900 00:56:59,020 --> 00:57:01,900 Next time on Our Changing Planet... 901 00:57:01,900 --> 00:57:04,340 ..Gordon Buchanan is in Brazil, 902 00:57:04,340 --> 00:57:08,900 catching up with the team at the forefront of jaguar science... 903 00:57:08,900 --> 00:57:10,300 Healthy, healthy. 904 00:57:10,300 --> 00:57:13,860 ..Ella Al-Shamahi is back in Cambodia, meeting locals 905 00:57:13,860 --> 00:57:18,940 and scientists saving a living fossil from the brink of extinction. 906 00:57:18,940 --> 00:57:24,140 And Ade Adepitan returns to Kenya, where game-changing solutions 907 00:57:24,140 --> 00:57:28,020 are protecting communities from the effects of the ongoing drought. 908 00:58:02,640 --> 00:58:05,100 Four billion years in the making. 909 00:58:07,420 --> 00:58:09,740 An astonishing planet. 910 00:58:12,500 --> 00:58:17,300 Home to over eight million different types of plant and animal. 911 00:58:19,100 --> 00:58:20,580 And us... 912 00:58:21,500 --> 00:58:23,540 ..eight billion humans! 913 00:58:27,220 --> 00:58:31,660 When it comes to looking after our home, it would be fair to say... 914 00:58:32,940 --> 00:58:34,740 ..that we dropped the ball. 915 00:58:36,780 --> 00:58:39,940 But that's not the end of the story. 916 00:58:43,100 --> 00:58:48,340 Around the world, ingenious communities, scientists and experts 917 00:58:48,340 --> 00:58:51,180 are working to protect the natural world 918 00:58:51,180 --> 00:58:53,180 and fix what is broken. 919 00:58:54,500 --> 00:58:57,660 Hang on, hold the phone! It might sound bonkers, OK... 920 00:58:57,660 --> 00:58:59,500 Is he making this up?! 921 00:59:01,780 --> 00:59:04,780 Oh, man, so good to see you, brother. 922 00:59:04,780 --> 00:59:07,340 These people are surprising... 923 00:59:09,460 --> 00:59:11,580 ..they are inventive... 924 00:59:11,580 --> 00:59:15,300 And we're using that biology of the elephant to come up with new solutions. 925 00:59:17,940 --> 00:59:20,500 ..and above all, they are determined. 926 00:59:22,220 --> 00:59:27,300 We have crocodiles in baskets on mopeds travelling in convoy. 927 00:59:28,500 --> 00:59:30,420 Didn't ever think I would say that. 928 00:59:33,020 --> 00:59:35,580 There just seems to be life everywhere. 929 00:59:35,580 --> 00:59:40,620 We'll be exploring extraordinary places, rich in nature. 930 00:59:41,820 --> 00:59:43,780 Hot work. 931 00:59:43,780 --> 00:59:45,580 Ooh! 932 00:59:45,580 --> 00:59:47,540 Six pivotal locations. 933 00:59:47,540 --> 00:59:50,500 I didn't think for a second this was going to work. 934 00:59:50,500 --> 00:59:53,180 Six teams of heroic humans... 935 00:59:53,180 --> 00:59:56,580 These are the kind of wounds that in a human being, it would kill you. 936 00:59:56,580 --> 00:59:59,620 We'll be following their inspiring stories. 937 00:59:59,620 --> 01:00:03,140 Brilliant animal, great location, fantastic scientists. 938 01:00:03,140 --> 01:00:06,180 Together, we hope to better understand 939 01:00:06,180 --> 01:00:08,940 the future of our changing planet. 940 01:00:24,900 --> 01:00:30,020 I have returned to the Pantanal, the biggest wetland on the planet, 941 01:00:30,020 --> 01:00:32,980 and the stronghold of the Brazilian jaguar. 942 01:00:36,860 --> 01:00:40,860 Home to the world's largest population of caiman, anaconda, 943 01:00:40,860 --> 01:00:43,940 rare parrots and the largest rodent on Earth... 944 01:00:45,180 --> 01:00:47,460 ..it's a magical ecosystem. 945 01:00:48,780 --> 01:00:51,500 This place seems pristine. 946 01:00:51,500 --> 01:00:54,260 It feels a lot like a paradise. 947 01:00:54,260 --> 01:00:56,740 But there's trouble in paradise. 948 01:00:56,740 --> 01:01:00,860 All of the animals that live here are under threat. 949 01:01:02,660 --> 01:01:05,540 A vote 500 miles away is going to decide 950 01:01:05,540 --> 01:01:08,580 if six new hydroelectric dams can be built, 951 01:01:08,580 --> 01:01:11,180 slowing the Pantanal flood pulse. 952 01:01:13,540 --> 01:01:15,740 I'm here to follow that story 953 01:01:15,740 --> 01:01:19,140 and to update on a project I reported on last year 954 01:01:19,140 --> 01:01:24,220 that is protecting jaguars by making them worth more alive than dead. 955 01:01:25,860 --> 01:01:28,820 Bon dia. Hey, hey. How are you? How are you? 956 01:01:28,820 --> 01:01:33,060 Good to see you. Good to see you, it's been a long time. I can't believe it's been a year. 957 01:01:33,060 --> 01:01:37,460 For ten years, biologist Lili Rampin has been collaring wild jaguars 958 01:01:37,460 --> 01:01:39,820 and habituating them to vehicles. 959 01:01:41,300 --> 01:01:45,220 Last year, I saw for myself how this ecotourism project 960 01:01:45,220 --> 01:01:47,580 has proved to be a game changer. 961 01:01:48,860 --> 01:01:51,580 Once hunted and killed by cattle ranchers, 962 01:01:51,580 --> 01:01:54,300 jaguars are now seen as money makers 963 01:01:54,300 --> 01:01:57,500 and their presence on the land is celebrated. 964 01:01:58,540 --> 01:02:02,060 This amount of money, it represents more money 965 01:02:02,060 --> 01:02:06,220 than the "damage" that jaguars cause, you know, on these farms. 966 01:02:06,220 --> 01:02:09,060 If you kill a jaguar, you are wasting your money. 967 01:02:09,060 --> 01:02:11,660 So they understood, OK, 968 01:02:11,660 --> 01:02:14,980 I can actually make money with this jaguar being alive. 969 01:02:16,140 --> 01:02:20,820 When this project started, people grew up here never seeing a jaguar. 970 01:02:20,820 --> 01:02:25,780 Now, Lili can identify 40 individuals on this one ranch. 971 01:02:26,820 --> 01:02:29,300 What would happen with Brazil's jaguars 972 01:02:29,300 --> 01:02:31,340 if you said, just leave them alone? 973 01:02:31,340 --> 01:02:33,940 Extinction. Like, immediate extinction. 974 01:02:33,940 --> 01:02:35,780 They will just disappear 975 01:02:35,780 --> 01:02:38,300 because people will kill them until they're gone. 976 01:02:38,300 --> 01:02:42,540 This year I'm joining Lili to find out how her team 977 01:02:42,540 --> 01:02:47,220 are protecting the wider population with scientific techniques 978 01:02:47,220 --> 01:02:51,180 that respond to the rapidly changing nature of this landscape. 979 01:02:52,700 --> 01:02:57,620 One extremely helpful tool is collars, radio collars, actually. 980 01:02:57,620 --> 01:03:01,260 During the next two weeks, we're going to be working, working, working, 981 01:03:01,260 --> 01:03:04,140 trying to capture the jaguars, setting some traps 982 01:03:04,140 --> 01:03:09,260 and we study them deep, deep, deep with great results for science. 983 01:03:10,820 --> 01:03:13,420 Much of what we think we know about jaguars 984 01:03:13,420 --> 01:03:17,500 is actually based on data collected from African leopards. 985 01:03:17,500 --> 01:03:21,020 Now scientists have this large, easy to study population, 986 01:03:21,020 --> 01:03:23,980 we can start to discover the truth about jaguars 987 01:03:23,980 --> 01:03:26,180 and how best to protect them. 988 01:03:26,180 --> 01:03:29,300 People used to believe that jaguars don't stay up on the trees. 989 01:03:29,300 --> 01:03:31,940 They think that just the leopards, their cousins, 990 01:03:31,940 --> 01:03:34,340 are doing this kind of behaviour for so long. 991 01:03:34,340 --> 01:03:37,540 But they discovered that they not only like to stay in trees, 992 01:03:37,540 --> 01:03:40,620 but they also mark the trees, you know, as their territory. 993 01:03:40,620 --> 01:03:42,940 We can only see that and from close 994 01:03:42,940 --> 01:03:46,740 because we are right there observing them. 995 01:03:48,340 --> 01:03:52,100 Lili has teamed up with specialist wildlife vet Joares May 996 01:03:52,100 --> 01:03:54,380 to understand a new threat. 997 01:03:54,380 --> 01:03:56,500 We can learn a lot with this. 998 01:03:57,580 --> 01:04:01,580 They're looking for connections between parasites found in livestock 999 01:04:01,580 --> 01:04:05,940 and diseases in jaguars that can weaken and even kill them. 1000 01:04:08,740 --> 01:04:12,140 Links have been discovered between falling predator numbers 1001 01:04:12,140 --> 01:04:15,460 and increases in diseases that affect people. 1002 01:04:18,140 --> 01:04:20,660 Scientists like Joares are scrambling 1003 01:04:20,660 --> 01:04:22,700 to understand this better. 1004 01:04:22,700 --> 01:04:25,180 But to do that, they need samples. 1005 01:04:26,540 --> 01:04:28,060 Live ones! 1006 01:04:29,100 --> 01:04:31,020 I know that sounds crazy, 1007 01:04:31,020 --> 01:04:33,580 but this is the correct way to send to the lab, 1008 01:04:33,580 --> 01:04:35,500 so with the ticks alive. 1009 01:04:35,500 --> 01:04:39,020 Then we have more and more information about what's going on. 1010 01:04:39,020 --> 01:04:43,020 And to collect samples, he needs to first catch a jaguar. 1011 01:04:44,340 --> 01:04:46,300 Easier said than done. 1012 01:04:48,180 --> 01:04:50,220 Luckily, Joares has a plan... 1013 01:04:51,460 --> 01:04:53,580 ..with a little help from me. 1014 01:04:53,580 --> 01:04:55,660 He's a professional! 1015 01:04:55,660 --> 01:04:57,660 May I? Yeah. 1016 01:04:57,660 --> 01:05:01,460 Joares plans to set up humane traps on these roads 1017 01:05:01,460 --> 01:05:03,620 to capture the jaguars. 1018 01:05:03,620 --> 01:05:06,940 If the jaguar moves around, nothing here can hurt it. 1019 01:05:06,940 --> 01:05:09,140 You can put your left hand. Really? 1020 01:05:09,140 --> 01:05:12,380 Yes. Really, really? Yes. So I'm going to be the guinea pig. 1021 01:05:14,140 --> 01:05:17,540 And I'm going to stand on this and tiny bit of pressure... 1022 01:05:17,540 --> 01:05:20,780 Oh, I was expecting it to be painful. 1023 01:05:22,060 --> 01:05:23,540 There you go. 1024 01:05:24,580 --> 01:05:28,780 Next we install a sensor that alerts the team at base camp, 1025 01:05:28,780 --> 01:05:32,220 via a radio signal, when the trap is triggered. 1026 01:05:33,620 --> 01:05:37,380 And it just minimises the amount of time that the jaguar's in the trap. 1027 01:05:37,380 --> 01:05:40,460 From years spent studying jaguar behaviour, 1028 01:05:40,460 --> 01:05:44,940 Joares has learnt natural ways to funnel jaguars towards the trap. 1029 01:05:48,740 --> 01:05:51,460 In the dead of night that would be deafening. 1030 01:05:51,460 --> 01:05:54,620 Any prey that is around here would hear a noise like that, 1031 01:05:54,620 --> 01:05:57,420 so the jaguar's going to want to stick to this surface 1032 01:05:57,420 --> 01:05:59,940 that doesn't make any noise - soft sand. 1033 01:06:01,580 --> 01:06:04,900 And it moves along here and then the next step it takes, 1034 01:06:04,900 --> 01:06:07,300 it'll trigger the foot loop. 1035 01:06:08,860 --> 01:06:11,300 And then it can contribute to science. 1036 01:06:12,700 --> 01:06:14,780 Because it's so hot in the day, 1037 01:06:14,780 --> 01:06:17,780 Joares only activates the traps after dark. 1038 01:06:20,060 --> 01:06:23,060 Now, there is nothing left to do but wait. 1039 01:06:27,020 --> 01:06:30,820 It's about 3:00am and still no sign of a jaguar. 1040 01:06:31,820 --> 01:06:34,020 Yeah, it could be a long night. 1041 01:06:36,780 --> 01:06:39,780 One of us checks the radio every 20 mins. 1042 01:06:41,300 --> 01:06:43,020 And then suddenly... 1043 01:06:43,940 --> 01:06:45,620 ..it's all go. 1044 01:06:56,060 --> 01:06:58,740 But things are not as they should be. 1045 01:06:58,740 --> 01:07:00,420 What is it, Lili? 1046 01:07:00,420 --> 01:07:02,380 It's a giant anteater. 1047 01:07:02,380 --> 01:07:06,020 They're going to remove it without any drugs. 1048 01:07:07,580 --> 01:07:11,900 Giant anteaters are not aggressive, but they can be dangerous 1049 01:07:11,900 --> 01:07:14,900 and this one is understandably cross. 1050 01:07:14,900 --> 01:07:17,460 ANTEATER GROWLS 1051 01:07:17,460 --> 01:07:19,500 Stay back. 1052 01:07:19,500 --> 01:07:23,820 Joares wants to attempt release without sedation, 1053 01:07:23,820 --> 01:07:26,140 but he must be careful. 1054 01:07:32,980 --> 01:07:36,260 You've got to expect if you put a trap on a trail 1055 01:07:36,260 --> 01:07:39,380 there's going to be other creatures moving around at night-time. 1056 01:07:39,380 --> 01:07:42,500 Anteaters can rear up on to their hind legs 1057 01:07:42,500 --> 01:07:46,260 and slash out with powerful four-inch claws. 1058 01:07:49,380 --> 01:07:54,660 These giant insect eaters are fully capable of fighting off a jaguar, 1059 01:07:54,660 --> 01:07:59,020 so the team need to keep their distance as they race to free it. 1060 01:08:05,780 --> 01:08:07,220 Sorry, fella. 1061 01:08:09,140 --> 01:08:10,980 Case of mistaken identity. 1062 01:08:13,900 --> 01:08:19,620 As it disappears into the night, our long wait for a jaguar continues. 1063 01:08:33,780 --> 01:08:35,660 Hi, can I get a lift? 1064 01:08:35,660 --> 01:08:37,380 Thank you, thank you. 1065 01:08:38,740 --> 01:08:42,020 It's great to be back in the hustle and bustle of Cambodia. 1066 01:08:43,460 --> 01:08:45,900 This year I'm here to discover more 1067 01:08:45,900 --> 01:08:49,260 about Southeast Asia's greatest river system 1068 01:08:49,260 --> 01:08:53,340 that is being drained not just of its water, but of its sand. 1069 01:08:54,420 --> 01:08:56,500 Hearing that the Mekong River system 1070 01:08:56,500 --> 01:08:59,420 could collapse in just three to five years 1071 01:08:59,420 --> 01:09:02,980 and seeing for myself the devastating impact that could have, 1072 01:09:02,980 --> 01:09:05,060 it's truly sobering. 1073 01:09:07,140 --> 01:09:09,940 I'm in Phnom Penh to meet Brian Eyler. 1074 01:09:09,940 --> 01:09:12,580 Brian has spent the last 20 years 1075 01:09:12,580 --> 01:09:17,180 researching and engaging with local communities from China to Vietnam, 1076 01:09:17,180 --> 01:09:21,660 to protect Southeast Asia's longest river - the Mekong. 1077 01:09:22,620 --> 01:09:24,420 The river's a mighty system 1078 01:09:24,420 --> 01:09:27,100 that provides for tens of millions of people. 1079 01:09:28,100 --> 01:09:31,540 It's probably not something many of us have given much thought to... 1080 01:09:33,100 --> 01:09:38,500 ..but after water, sand is the most exploited resource in the world. 1081 01:09:41,900 --> 01:09:44,540 So this is what we're talking about, sand mining. 1082 01:09:44,540 --> 01:09:46,540 This has actually got two pumps. 1083 01:09:46,540 --> 01:09:48,900 And actually if you look around you can see 1084 01:09:48,900 --> 01:09:51,580 there's some boats that are barely above water level 1085 01:09:51,580 --> 01:09:53,740 because they're so filled with sand. 1086 01:09:55,260 --> 01:10:00,500 Around the world we use 50 billion tonnes of sand and gravel a year - 1087 01:10:00,500 --> 01:10:04,940 enough to build a colossal wall to encircle the planet. 1088 01:10:06,300 --> 01:10:09,420 It's the key ingredient of cement and concrete, 1089 01:10:09,420 --> 01:10:12,860 so all of our cities and roads are built of it. 1090 01:10:13,900 --> 01:10:16,500 All of this sand comes from nature 1091 01:10:16,500 --> 01:10:19,860 and nature, as it turns out, needs it back. 1092 01:10:21,580 --> 01:10:24,420 Eight years ago, none of these tall buildings were here, 1093 01:10:24,420 --> 01:10:27,540 and they're all built from sand taken out of the river. 1094 01:10:27,540 --> 01:10:30,060 And they're being built at a very rapid pace. 1095 01:10:31,580 --> 01:10:33,780 We're extracting sand from the Mekong 1096 01:10:33,780 --> 01:10:36,300 seven times faster than it's replenishing. 1097 01:10:36,300 --> 01:10:38,380 So this pace can't keep up. 1098 01:10:39,460 --> 01:10:44,220 When a river is robbed of its sand and sediment, it gets hungry, 1099 01:10:44,220 --> 01:10:47,540 and if it doesn't have it, it's going to look for more 1100 01:10:47,540 --> 01:10:51,140 and it gets the extra new sand from banks. 1101 01:10:51,140 --> 01:10:55,900 River banks are collapsing, homes are falling into the river as well, 1102 01:10:55,900 --> 01:10:58,540 so we're paying the price for this. 1103 01:11:01,020 --> 01:11:05,220 The impact of sand mining is being felt hundreds of miles away. 1104 01:11:06,580 --> 01:11:10,060 Historically, the flood pulse of this river sends water 1105 01:11:10,060 --> 01:11:14,260 surging into one of the world's largest freshwater fisheries, 1106 01:11:14,260 --> 01:11:16,180 the Tonle Sap lake. 1107 01:11:16,180 --> 01:11:20,660 It's capable of providing half a million tonnes of fresh fish a year. 1108 01:11:21,900 --> 01:11:25,820 By taking sand out at the bottom, the river level drops. 1109 01:11:25,820 --> 01:11:28,700 So it's going to take much more energy and water 1110 01:11:28,700 --> 01:11:31,900 to cast that water up into the Tonle Sap, 1111 01:11:31,900 --> 01:11:35,620 which feeds the fishery, which then feeds the people of Cambodia. 1112 01:11:36,980 --> 01:11:40,460 Traditional fishermen, like Mr Leur who I met last year, 1113 01:11:40,460 --> 01:11:42,980 depend on the Tonle Sap floods. 1114 01:11:44,460 --> 01:11:48,100 They were having to search for alternative sources of protein, 1115 01:11:48,100 --> 01:11:50,460 like snake, to feed their families. 1116 01:11:52,780 --> 01:11:56,580 The Tonle Sap fishery provides roughly 75% 1117 01:11:56,580 --> 01:12:00,180 of all the protein eaten by Cambodians. 1118 01:12:00,180 --> 01:12:04,020 Its collapse would be devastating and dangerous. 1119 01:12:05,380 --> 01:12:09,820 The impact of that is so real, not on the medium term and long term, it's on the here and now. 1120 01:12:09,820 --> 01:12:13,140 You're coming across communities who are facing that on a daily basis. 1121 01:12:13,140 --> 01:12:15,340 Yes. The scale that could play out here is huge. 1122 01:12:15,340 --> 01:12:17,940 It's at the country level. It's at the region level. 1123 01:12:21,260 --> 01:12:26,300 If sand mining continues unchecked, on top of irrigation and damming, 1124 01:12:26,300 --> 01:12:32,220 the impact on this system could be the final straw for the Tonle Sap. 1125 01:12:34,940 --> 01:12:37,380 Are there solutions that will solve this? 1126 01:12:37,380 --> 01:12:40,100 There are ways to bring this breakdown 1127 01:12:40,100 --> 01:12:42,660 that's happening here under control. 1128 01:12:42,660 --> 01:12:45,380 Researchers from Newcastle University 1129 01:12:45,380 --> 01:12:48,380 have been using scanning technology 1130 01:12:48,380 --> 01:12:51,820 to track changes on the riverbed over time. 1131 01:12:51,820 --> 01:12:55,020 These dots are craters? Correct. Ten years ago. 1132 01:12:55,020 --> 01:12:58,060 Here you see these beautiful sand dunes, you know, 1133 01:12:58,060 --> 01:13:01,300 like you would see along the ocean, except they're under the river, 1134 01:13:01,300 --> 01:13:03,500 and now they're gone. 1135 01:13:03,500 --> 01:13:07,900 Where towering dunes once stood, now gigantic craters, 1136 01:13:07,900 --> 01:13:12,300 eight metres deep and 70 metres wide, scar the riverbed. 1137 01:13:13,460 --> 01:13:17,420 This is so alarming, that's just a completely different surface. 1138 01:13:17,420 --> 01:13:19,780 But also, this technology allows us 1139 01:13:19,780 --> 01:13:22,420 to measure how much sand is being removed. 1140 01:13:22,420 --> 01:13:26,180 So now that we can see it, it's possible to bring transparency 1141 01:13:26,180 --> 01:13:30,660 and accountability and in a way to make this more sustainable. 1142 01:13:30,660 --> 01:13:34,620 So data, which is quite depressing, you're saying, 1143 01:13:34,620 --> 01:13:36,940 could actually be part of the solution? 1144 01:13:36,940 --> 01:13:39,100 But from here, there's progress. 1145 01:13:43,740 --> 01:13:45,980 Standing here, the scale of this 1146 01:13:45,980 --> 01:13:49,220 just feels completely and utterly overwhelming. 1147 01:13:49,220 --> 01:13:51,980 But at the same time, you heard what Brian said. 1148 01:13:51,980 --> 01:13:54,780 The solutions are all there. They're there. 1149 01:13:54,780 --> 01:13:58,780 And so I'm also leaving this boat with a sense of surprising hope, 1150 01:13:58,780 --> 01:14:01,620 which I think we should all be clinging to. 1151 01:14:05,260 --> 01:14:09,300 Sand is not the only thing missing from Cambodia's river system. 1152 01:14:10,660 --> 01:14:14,300 I will be continuing my adventure with an action-packed journey 1153 01:14:14,300 --> 01:14:17,940 into the jungle to join a team putting something back. 1154 01:14:26,540 --> 01:14:29,540 While the team wait for a jaguar encounter, 1155 01:14:29,540 --> 01:14:34,020 I want to find out about the threats facing this magnificent animal. 1156 01:14:38,540 --> 01:14:41,820 In Brazil, jaguars across the Pantanal 1157 01:14:41,820 --> 01:14:44,820 are recorded as being vulnerable to extinction. 1158 01:14:47,700 --> 01:14:49,980 Now, there's a new proposal 1159 01:14:49,980 --> 01:14:53,780 that may cause this entire ecosystem to vanish. 1160 01:14:56,900 --> 01:14:58,700 And the jaguars with it. 1161 01:15:00,620 --> 01:15:02,740 And this man, Gustavo Figueiroa, 1162 01:15:02,740 --> 01:15:05,700 a biologist and director of SOS Pantanal, 1163 01:15:05,700 --> 01:15:08,980 has been fighting it every step of the way. 1164 01:15:08,980 --> 01:15:12,260 Thank you. Welcome. Are we good to go? Yes. 1165 01:15:12,260 --> 01:15:15,820 Welcome to the most magical place on Earth. Ah, it's amazing. 1166 01:15:26,980 --> 01:15:29,340 There just seems to be life everywhere - 1167 01:15:29,340 --> 01:15:32,020 in the trees, on the banks, in the water. 1168 01:15:32,020 --> 01:15:34,620 It's exactly why they say Pantanal means life. 1169 01:15:34,620 --> 01:15:36,620 There's life everywhere you look. 1170 01:15:38,660 --> 01:15:42,860 Pantanal holds the highest concentration of jaguars, 1171 01:15:42,860 --> 01:15:46,300 giant otters and hyacinth macaws in the world. 1172 01:15:48,700 --> 01:15:52,180 It's a wildlife sanctuary here. That's why it's so important. 1173 01:15:54,860 --> 01:15:57,180 This water world is under threat, 1174 01:15:57,180 --> 01:16:00,540 because 500 miles away in Cuiaba city, 1175 01:16:00,540 --> 01:16:04,060 politicians are voting whether or not to allow 1176 01:16:04,060 --> 01:16:07,580 a series of six new hydroelectric dams to be built. 1177 01:16:09,780 --> 01:16:12,500 These will crisscross the Cuiaba River 1178 01:16:12,500 --> 01:16:17,460 and block unimaginable quantities of water from reaching this ecosystem. 1179 01:16:19,140 --> 01:16:23,060 They are building and they are allowing more dams to be built 1180 01:16:23,060 --> 01:16:25,340 and this blocks the water flow. 1181 01:16:25,340 --> 01:16:27,620 50 years ago, the building of dams 1182 01:16:27,620 --> 01:16:29,900 was seen as this sort of amazing thing 1183 01:16:29,900 --> 01:16:32,420 and it brought prosperity, it brought jobs. 1184 01:16:33,900 --> 01:16:39,580 Brazil's population is set to rise to almost 230 million people, 1185 01:16:39,580 --> 01:16:42,980 so they're going to need a lot more power 1186 01:16:42,980 --> 01:16:47,500 and, for many, hydroelectricity is the answer. 1187 01:16:49,340 --> 01:16:52,580 This country has the perfect geography for it. 1188 01:16:52,580 --> 01:16:55,820 Elevation changes, mighty rivers... 1189 01:16:56,980 --> 01:16:59,340 ..and historically heavy rainfall. 1190 01:17:01,740 --> 01:17:04,900 Hydroelectricity can be considered green 1191 01:17:04,900 --> 01:17:08,620 because no fuels are burned and no direct emissions released. 1192 01:17:09,820 --> 01:17:13,380 It already accounts for two-thirds of Brazil's power, 1193 01:17:13,380 --> 01:17:16,060 making them far less reliant on fossil fuels 1194 01:17:16,060 --> 01:17:17,940 than many other countries. 1195 01:17:19,340 --> 01:17:23,980 But we are seeing that manipulating the natural flow of water 1196 01:17:23,980 --> 01:17:27,540 can have a different kind of environmental impact. 1197 01:17:33,340 --> 01:17:36,820 To show me how vital water is in this landscape, 1198 01:17:36,820 --> 01:17:40,980 Gustavo takes me to an area that's dry not because of dams, 1199 01:17:40,980 --> 01:17:43,460 but because of reduced rainfall. 1200 01:17:44,500 --> 01:17:47,100 As you listen out, you can't hear any birds, 1201 01:17:47,100 --> 01:17:49,300 you can't hear any insects. 1202 01:17:49,300 --> 01:17:52,820 And if you compare that down to where the lakes and the rivers are, 1203 01:17:52,820 --> 01:17:55,100 there's life everywhere - on every leaf, 1204 01:17:55,100 --> 01:17:58,260 on every sort of patch of ground, and in the water as well. 1205 01:17:58,260 --> 01:17:59,740 Exactly. 1206 01:17:59,740 --> 01:18:02,340 You're pinning all of your hopes and dreams 1207 01:18:02,340 --> 01:18:04,620 on these dams not being approved. 1208 01:18:04,620 --> 01:18:07,700 Have you prepared yourself emotionally and mentally 1209 01:18:07,700 --> 01:18:09,980 for the event they may go ahead? 1210 01:18:11,420 --> 01:18:15,100 No. Erm... It's not an option for me to believe that. 1211 01:18:15,100 --> 01:18:17,140 It will get drier. 1212 01:18:17,140 --> 01:18:20,140 There's going to be less water entering the system 1213 01:18:20,140 --> 01:18:23,700 and less fish reproduction, less animals feeding on the fish 1214 01:18:23,700 --> 01:18:27,620 and less fish being caught by local fishermen, people who depends on it. 1215 01:18:27,620 --> 01:18:31,660 So basically, you're going to see this multiply all over Pantanal. 1216 01:18:31,660 --> 01:18:34,180 So the vote is tomorrow morning? 1217 01:18:34,180 --> 01:18:37,420 Tomorrow morning. OK. Call me as soon as you hear. 1218 01:18:38,740 --> 01:18:40,860 Gustavo is passionate in his belief 1219 01:18:40,860 --> 01:18:43,420 that campaigning against dam construction 1220 01:18:43,420 --> 01:18:46,820 is essential if we are to hang on to caiman, otters, 1221 01:18:46,820 --> 01:18:49,300 macaws and of course, jaguars. 1222 01:18:50,580 --> 01:18:53,540 If the water is lost, then all of Lili's work, 1223 01:18:53,540 --> 01:18:56,860 all the patchwork conservation projects taking place 1224 01:18:56,860 --> 01:18:59,500 across the Pantanal will mean nothing. 1225 01:19:04,420 --> 01:19:07,820 With time running out and still no jaguars in the trap, 1226 01:19:07,820 --> 01:19:10,500 the capture team are tense. 1227 01:19:10,500 --> 01:19:12,740 But then Joares, the vet, 1228 01:19:12,740 --> 01:19:17,900 sees an opportunity to use a different technique - free darting. 1229 01:19:17,900 --> 01:19:20,900 Just got the call that there is a jaguar that's been spotted 1230 01:19:20,900 --> 01:19:23,100 and we're on our way there. 1231 01:19:27,420 --> 01:19:29,660 We've got a bit of an unusual, 1232 01:19:29,660 --> 01:19:33,020 but almost perfect scenario here with this jaguar. 1233 01:19:33,020 --> 01:19:35,580 When it's hot, jaguars like to find shade 1234 01:19:35,580 --> 01:19:39,780 and this particular female has found shade in this culvert pipe. 1235 01:19:40,820 --> 01:19:43,180 And it's given Joares an opportunity 1236 01:19:43,180 --> 01:19:47,260 without any branches, any foliage in front of the jaguar. 1237 01:19:47,260 --> 01:19:49,700 He's going to get a clear shot of her. 1238 01:19:54,100 --> 01:19:57,620 The dart's in. Now the team have less than an hour to work. 1239 01:19:59,740 --> 01:20:02,060 Joares crawls into the pipe 1240 01:20:02,060 --> 01:20:05,940 to pull out what he hopes is a sleeping jaguar. 1241 01:20:07,020 --> 01:20:08,820 Oh, she's big. 1242 01:20:08,820 --> 01:20:10,700 She's huge. 1243 01:20:10,700 --> 01:20:13,020 The team snap into action. 1244 01:20:13,020 --> 01:20:14,740 Happy, happy? 1245 01:20:14,740 --> 01:20:16,980 There's no room for mistakes here. 1246 01:20:20,580 --> 01:20:23,140 Once out of the storm drain, 1247 01:20:23,140 --> 01:20:26,940 Joares can see that this is actually a young male. 1248 01:20:29,100 --> 01:20:31,700 First on is the radio collar. 1249 01:20:31,700 --> 01:20:33,620 In a few days' time, 1250 01:20:33,620 --> 01:20:36,740 the team can begin the meticulously slow habituation process. 1251 01:20:36,740 --> 01:20:39,740 Pulse gone down. What did she just say, two and half? 1252 01:20:39,740 --> 01:20:41,740 Two and a half years old. Amazing. 1253 01:20:43,180 --> 01:20:47,220 So it's not just about, you know, fitting the satellite collar, 1254 01:20:47,220 --> 01:20:50,260 that's just part of the data as far as parasite load, 1255 01:20:50,260 --> 01:20:54,460 the number of ticks, the weight, the measurement, the size of its paws. 1256 01:20:54,460 --> 01:20:57,340 It's just using these opportunities to find out 1257 01:20:57,340 --> 01:21:00,460 as much as possible about these animals. 1258 01:21:00,460 --> 01:21:03,220 Healthy, healthy. Very sharp as well. 1259 01:21:03,220 --> 01:21:07,500 Blood samples will be examined in the lab for blood-borne diseases. 1260 01:21:11,540 --> 01:21:15,860 He weighs over 110 kilos and with no handles, 1261 01:21:15,860 --> 01:21:19,660 it's hard to get purchase on such a massive dead weight. 1262 01:21:24,460 --> 01:21:26,420 He starts to stir. 1263 01:21:26,420 --> 01:21:30,900 The team up the pace, keeping a watchful eye at all times. 1264 01:21:30,900 --> 01:21:33,540 There's some fairly deep wounds on this jaguar, 1265 01:21:33,540 --> 01:21:35,900 so there's been flies that have been coming 1266 01:21:35,900 --> 01:21:38,180 and laying their eggs in those wounds. 1267 01:21:38,180 --> 01:21:40,820 Lili discovers they're full of maggots. 1268 01:21:41,940 --> 01:21:46,940 Bot fly and screwworm are parasites usually found on cattle and dogs. 1269 01:21:48,340 --> 01:21:51,540 But, as the wild shrinks and the world warms, 1270 01:21:51,540 --> 01:21:54,060 there's an increasing threat of diseases 1271 01:21:54,060 --> 01:21:57,700 from domestic animals spilling over into wild ones. 1272 01:21:57,700 --> 01:22:00,340 I'm cleaning the wound. It's full of maggots. 1273 01:22:00,340 --> 01:22:03,780 So I'm cleaning, first of all to collect samples 1274 01:22:03,780 --> 01:22:06,060 and secondly to help him. 1275 01:22:07,860 --> 01:22:11,460 These are the kind of wounds that in a human being, it would kill you. 1276 01:22:11,460 --> 01:22:13,820 It would get infected and you'd die from it. 1277 01:22:13,820 --> 01:22:15,820 But jaguars are amazingly resilient 1278 01:22:15,820 --> 01:22:18,180 and can cope with these horrific injuries. 1279 01:22:18,180 --> 01:22:21,340 Joares and Lili collect every blood-sucking tick 1280 01:22:21,340 --> 01:22:25,660 and each flesh-eating maggot from the jaguar so they can be studied. 1281 01:22:26,700 --> 01:22:28,780 At least Joares will be happy. 1282 01:22:28,780 --> 01:22:31,420 He can add them to his parasite collection. 1283 01:22:31,420 --> 01:22:33,220 OK, step back, people. 1284 01:22:33,220 --> 01:22:35,020 He's coming round fast now. 1285 01:22:44,260 --> 01:22:46,100 OK, everything was fine. 1286 01:22:46,100 --> 01:22:49,140 We could collect all the samples, we did the measurements, 1287 01:22:49,140 --> 01:22:52,340 we set the radio collar and for now everything is OK. 1288 01:22:56,300 --> 01:22:59,660 This jaguar can now tell us so much about its life - 1289 01:22:59,660 --> 01:23:04,780 where it goes, how it lives, what it needs to survive. 1290 01:23:04,780 --> 01:23:07,820 Every single jaguar is valuable, 1291 01:23:07,820 --> 01:23:10,980 but what we can learn from these jaguars 1292 01:23:10,980 --> 01:23:14,100 that are now being studied, that is... That's invaluable. 1293 01:23:15,620 --> 01:23:18,260 We draw back, watching from a distance 1294 01:23:18,260 --> 01:23:21,660 as the jaguar sleeps it off in the evening sun. 1295 01:23:26,980 --> 01:23:31,260 All of this work and potential insight becomes irrelevant 1296 01:23:31,260 --> 01:23:33,820 if the Pantanal isn't protected. 1297 01:23:33,820 --> 01:23:35,940 MOBILE PHONE RINGS 1298 01:23:35,940 --> 01:23:37,780 Right, here we go. 1299 01:23:37,780 --> 01:23:41,100 The outcome of the vote is all anyone can think about. 1300 01:23:43,460 --> 01:23:46,580 Gustavo. Hello, Gordon. How you doing? 1301 01:23:46,580 --> 01:23:49,180 I'm really fine, because we won it. 1302 01:23:49,180 --> 01:23:53,300 We needed 13 votes to put it down and we had 20. 1303 01:23:53,300 --> 01:23:56,180 So it was a huge victory and I'm very happy 1304 01:23:56,180 --> 01:23:58,900 because it's going to be a mark for our struggle 1305 01:23:58,900 --> 01:24:00,780 on the defence of this biome. 1306 01:24:00,780 --> 01:24:04,460 We made it. We made it, my friend. You must be emotionally exhausted. 1307 01:24:04,460 --> 01:24:05,820 Yeah. 1308 01:24:05,820 --> 01:24:08,820 Emotionally and physically. I haven't slept well. 1309 01:24:08,820 --> 01:24:10,820 I just want to go home now. 1310 01:24:10,820 --> 01:24:12,580 Mission accomplished. 1311 01:24:12,580 --> 01:24:14,540 Take care. Take care, Gordon. 1312 01:24:20,540 --> 01:24:23,980 So this is two years in a row that I've returned to the Pantanal, 1313 01:24:23,980 --> 01:24:27,340 but I think you could return here every single year of your life 1314 01:24:27,340 --> 01:24:29,260 and keep learning about it. 1315 01:24:30,260 --> 01:24:32,780 I've seen how imaginative projects 1316 01:24:32,780 --> 01:24:35,820 like habituation and parasite monitoring 1317 01:24:35,820 --> 01:24:39,540 are key to saving these jaguars and their habitat. 1318 01:24:42,140 --> 01:24:46,860 But more is needed to conserve this vast and complex ecosystem. 1319 01:24:46,860 --> 01:24:51,780 The Pantanal's long-term future is in the hands of politicians 1320 01:24:51,780 --> 01:24:54,420 and the people that elect them. 1321 01:25:05,900 --> 01:25:08,420 One sounds like they're toiling away. 1322 01:25:08,420 --> 01:25:11,420 Ah, man. It's so good to see you, brother. 1323 01:25:11,420 --> 01:25:15,100 Last year, whilst in Kenya, I met baby elephants 1324 01:25:15,100 --> 01:25:18,260 who had been orphaned by the bleak drought conditions 1325 01:25:18,260 --> 01:25:21,940 and rescued in the nick of time by the Sheldrick Trust. 1326 01:25:24,540 --> 01:25:26,700 The terrain is rough, 1327 01:25:26,700 --> 01:25:30,500 but it's worth it to be here for the first meal of the day. 1328 01:25:33,020 --> 01:25:35,620 Breakfast with Ade and the elephant. 1329 01:25:37,220 --> 01:25:40,020 I'm trying to have a conversation whilst I'm being... 1330 01:25:40,020 --> 01:25:42,500 Whilst I'm being almost eaten! 1331 01:25:45,740 --> 01:25:48,380 Talk to me about the numbers, Julius. 1332 01:25:48,380 --> 01:25:51,580 How do the numbers of elephants you have here now 1333 01:25:51,580 --> 01:25:53,820 compare to when I was here last? 1334 01:25:53,820 --> 01:25:57,300 The numbers have risen so fast. 1335 01:25:57,300 --> 01:26:00,100 Last time, I think when you were here 1336 01:26:00,100 --> 01:26:03,580 we had something like 18 or 17 elephants. 1337 01:26:03,580 --> 01:26:07,700 Now we are talking of about 30 elephants in the nursery. 1338 01:26:07,700 --> 01:26:10,660 So it's almost double? It's almost double. 1339 01:26:10,660 --> 01:26:13,660 Who knows, the number might still be going up. 1340 01:26:15,420 --> 01:26:17,260 And there's a curveball. 1341 01:26:18,820 --> 01:26:22,580 Elephants and people are now coming into violent conflict 1342 01:26:22,580 --> 01:26:24,660 over shrinking resources. 1343 01:26:26,660 --> 01:26:30,860 Physical fights over food and water between people with guns 1344 01:26:30,860 --> 01:26:33,820 and five tonnes of desperation. 1345 01:26:38,300 --> 01:26:41,820 I'm joining a community at the centre of the conflict. 1346 01:26:43,740 --> 01:26:46,220 On our journey to the village of Sagalla, 1347 01:26:46,220 --> 01:26:48,820 I learn that you don't actually need to go far 1348 01:26:48,820 --> 01:26:52,340 to meet someone that has experienced conflict with elephants. 1349 01:26:52,340 --> 01:26:54,780 Your cousin was killed by an elephant? Yeah. 1350 01:26:54,780 --> 01:26:56,900 He was killed by an elephant. 1351 01:26:56,900 --> 01:26:58,860 He died because of blood, 1352 01:26:58,860 --> 01:27:02,460 he was hit be an elephant and then unfortunately, we lost him. 1353 01:27:02,460 --> 01:27:05,140 I'm sorry, man. I'm sorry. 1354 01:27:05,140 --> 01:27:08,140 John is a Maasai warrior from the north of Kenya 1355 01:27:08,140 --> 01:27:10,380 and part of our film crew. 1356 01:27:13,140 --> 01:27:16,980 So you've always lived with the animals and never had any problems? 1357 01:27:16,980 --> 01:27:19,020 Never had any problem. 1358 01:27:19,020 --> 01:27:21,860 But now because of climate change, because of the drought, 1359 01:27:21,860 --> 01:27:24,540 it's forcing you to go into conflict. 1360 01:27:24,540 --> 01:27:26,540 They need to eat, we need to eat, 1361 01:27:26,540 --> 01:27:28,940 and now we have to fight because of that. 1362 01:27:32,420 --> 01:27:35,820 That took me by surprise, hearing John's story, 1363 01:27:35,820 --> 01:27:39,180 but I guess I feel quite naive now... 1364 01:27:40,140 --> 01:27:43,060 ..because of course climate change 1365 01:27:43,060 --> 01:27:46,420 and of course the drought is going to affect everybody. 1366 01:27:46,420 --> 01:27:50,540 You know, this is a country which really relies on agriculture 1367 01:27:50,540 --> 01:27:55,260 and farmland, and climate change is affecting all of that. 1368 01:28:07,380 --> 01:28:09,900 Now, I've come to one of the villages, 1369 01:28:09,900 --> 01:28:13,020 which is right on the edge of Tsavo National Park. 1370 01:28:13,020 --> 01:28:15,340 I mean, this is the front line, 1371 01:28:15,340 --> 01:28:18,540 the line between wildlife and human life. 1372 01:28:20,300 --> 01:28:24,620 Jones and his family traditionally grow what they need to survive. 1373 01:28:27,300 --> 01:28:30,740 When I was growing up, it was very hard to see an elephant. 1374 01:28:30,740 --> 01:28:34,180 Yeah. We were scared of elephants because they were not common. 1375 01:28:34,180 --> 01:28:36,740 But nowadays, they always come. 1376 01:28:38,060 --> 01:28:41,300 When was the change? When did they start coming, do you think? 1377 01:28:41,300 --> 01:28:46,260 In 2017, that's when we started having big numbers. 1378 01:28:46,260 --> 01:28:49,500 There was a day I counted 200 elephants in one herd. 1379 01:28:49,500 --> 01:28:53,460 Coming here? Yeah. Coming here. On to your land? Yeah, on to my land. 1380 01:28:54,940 --> 01:28:56,460 2018... 1381 01:28:57,460 --> 01:28:59,180 ..400 at a go. 1382 01:28:59,180 --> 01:29:02,340 Oh, my... Yeah, so they're just increasing in number. 1383 01:29:04,100 --> 01:29:07,980 With little food and water left in the neighbouring National Park, 1384 01:29:07,980 --> 01:29:11,900 the elephants have been coming to the village in search of food. 1385 01:29:13,220 --> 01:29:16,460 My family depends on what we are going to harvest. 1386 01:29:16,460 --> 01:29:21,300 So this for you, was literally a life and death situation. 1387 01:29:21,300 --> 01:29:25,780 You had to stand your ground because if you lost all your crops, 1388 01:29:25,780 --> 01:29:29,020 then your family would not have any food? 1389 01:29:29,020 --> 01:29:32,820 But, if you attack the elephant or try to chase the elephant away, 1390 01:29:32,820 --> 01:29:35,060 it could potentially kill you? Exactly. 1391 01:29:38,540 --> 01:29:43,020 Someone who is acutely aware of the need to find ingenious ways 1392 01:29:43,020 --> 01:29:47,780 of helping people to coexist with elephants is Dr Lucy King, 1393 01:29:47,780 --> 01:29:50,580 head of the Human Elephant Coexistence programme 1394 01:29:50,580 --> 01:29:52,620 for Save the Elephants. 1395 01:29:54,980 --> 01:29:56,980 Every one of these elephants needs 1396 01:29:56,980 --> 01:29:59,380 two or three to four hundred kilos of food 1397 01:29:59,380 --> 01:30:02,340 and you look around you, where are they going to get it from? 1398 01:30:02,340 --> 01:30:04,620 And the last serious drought we had here, 1399 01:30:04,620 --> 01:30:06,860 we lost 500 elephants to starvation. 1400 01:30:06,860 --> 01:30:09,300 It's not just about the year of the drought, 1401 01:30:09,300 --> 01:30:11,460 it's about the next two to three years. 1402 01:30:11,460 --> 01:30:14,980 And we're not sure whether the rains are going to come at the end of the year. 1403 01:30:14,980 --> 01:30:18,460 If they don't come, I think we're going to be in serious trouble. 1404 01:30:18,460 --> 01:30:21,100 That's when the rainy season is supposed to start, 1405 01:30:21,100 --> 01:30:23,740 but the predictions are it's not going to happen. 1406 01:30:25,100 --> 01:30:27,860 Just a few days before I met Dr King, 1407 01:30:27,860 --> 01:30:31,180 humanitarian agencies published an alert warning 1408 01:30:31,180 --> 01:30:35,500 that there was a genuine risk that the 2022 late rainy season 1409 01:30:35,500 --> 01:30:37,340 could also fail. 1410 01:30:39,620 --> 01:30:42,580 That actually makes me go cold, because if that's true, 1411 01:30:42,580 --> 01:30:45,140 I really don't know what we're going to do. 1412 01:30:46,580 --> 01:30:49,860 We have hundreds and hundreds of people living next to the park 1413 01:30:49,860 --> 01:30:52,660 who we work with, who haven't got a bean to eat right now, 1414 01:30:52,660 --> 01:30:54,900 and they're all planning on the rains. 1415 01:30:54,900 --> 01:30:58,580 So if those rains don't come, these elephants won't have anything to eat 1416 01:30:58,580 --> 01:31:00,620 and they're going to go into the farms 1417 01:31:00,620 --> 01:31:05,220 and they're going to start to find food in houses and in schools and in people's properties, 1418 01:31:05,220 --> 01:31:09,580 and we're going to have an escalation of human-elephant conflict like we've not seen before. 1419 01:31:09,580 --> 01:31:12,020 And that's the moment which we're all dreading, 1420 01:31:12,020 --> 01:31:14,660 is the final break point where there is no food for anyone. 1421 01:31:15,740 --> 01:31:20,420 This is a complex problem involving both elephants and humans. 1422 01:31:20,420 --> 01:31:23,820 The question is, is there a solution? 1423 01:31:32,500 --> 01:31:35,300 I am continuing my Cambodian adventure 1424 01:31:35,300 --> 01:31:39,020 by journeying deep into the Cardamom rainforest 1425 01:31:39,020 --> 01:31:41,980 to meet one of its rarest creatures. 1426 01:31:43,220 --> 01:31:45,900 For three decades the Siamese crocodile, 1427 01:31:45,900 --> 01:31:48,900 once a key player in the Mekong River system, 1428 01:31:48,900 --> 01:31:51,220 was believed extinct in the wild. 1429 01:31:52,500 --> 01:31:55,940 Then, a miracle population was discovered, 1430 01:31:55,940 --> 01:31:58,460 and great things started happening. 1431 01:31:58,460 --> 01:32:00,740 Pablo Sinovas and the team 1432 01:32:00,740 --> 01:32:04,300 at the Siamese Crocodile Conservation Breeding Facility 1433 01:32:04,300 --> 01:32:10,100 are about to return ten captive- reared crocodiles to the wild. 1434 01:32:10,100 --> 01:32:14,020 Would you like to see some of the babies? Yes, definitely. All right. 1435 01:32:14,020 --> 01:32:15,500 Bless. 1436 01:32:20,460 --> 01:32:22,900 Would you like to... How is this your job?! 1437 01:32:22,900 --> 01:32:25,180 Would you like to hold it? Yes. Around there. 1438 01:32:25,180 --> 01:32:28,540 Hold it so it doesn't snap. OK. Don't bite me, please. No biting. 1439 01:32:28,540 --> 01:32:32,460 I'm basically holding one of the rarest species on Earth, 1440 01:32:32,460 --> 01:32:35,220 and I'm holding, like, the hope for it, right? 1441 01:32:35,220 --> 01:32:37,140 That's absolutely right, yeah. 1442 01:32:37,140 --> 01:32:39,780 This species was rediscovered here in Cambodia 1443 01:32:39,780 --> 01:32:42,740 in a remote corner of the Cardamom mountains. 1444 01:32:42,740 --> 01:32:46,060 Actually local people, the indigenous people of the area 1445 01:32:46,060 --> 01:32:48,220 were protecting those populations 1446 01:32:48,220 --> 01:32:51,020 because they do consider these guys to be sacred. 1447 01:32:51,020 --> 01:32:53,180 That was their saving grace, 1448 01:32:53,180 --> 01:32:57,220 the fact that the indigenous people actually regarded them as sacred. 1449 01:32:57,220 --> 01:32:59,020 That's right. 1450 01:32:59,020 --> 01:33:01,540 What caused the decline of these animals? 1451 01:33:01,540 --> 01:33:04,340 The demand for their skins, for the leather trade, 1452 01:33:04,340 --> 01:33:08,860 and as a result they disappeared from 99% of their former range. 1453 01:33:08,860 --> 01:33:11,340 My God. So basically, these poor creatures 1454 01:33:11,340 --> 01:33:14,300 were about to become extinct because of handbags and belts. 1455 01:33:14,300 --> 01:33:15,900 Yeah, basically. 1456 01:33:17,940 --> 01:33:22,220 Thankfully, the demand for crocodile leather has reduced globally, 1457 01:33:22,220 --> 01:33:25,860 relieving pressure on crocodiles in Cambodia. 1458 01:33:25,860 --> 01:33:31,100 But Pablo is focused on just one species - Siamese. 1459 01:33:33,060 --> 01:33:36,300 How many crocodiles have you actually released into the wild? 1460 01:33:36,300 --> 01:33:39,180 We've released 140 crocodiles so far. 1461 01:33:39,180 --> 01:33:41,300 And how many are in the wild? 1462 01:33:41,300 --> 01:33:46,020 In Cambodia, there's an estimated 300 crocodiles left in the wild. 1463 01:33:46,020 --> 01:33:51,620 So you are responsible for half the crocodiles in the wild in Cambodia. 1464 01:33:51,620 --> 01:33:53,980 So every crocodile counts. 1465 01:33:55,740 --> 01:33:58,700 The adults are fitted with a tracking device... 1466 01:34:00,460 --> 01:34:03,540 ..that will allow the team to monitor them from space. 1467 01:34:05,180 --> 01:34:08,580 These top predators were almost lost from Cambodia 1468 01:34:08,580 --> 01:34:11,740 before scientists really knew they were here. 1469 01:34:11,740 --> 01:34:15,780 We've been given a second chance to not mess it up. 1470 01:34:15,780 --> 01:34:17,700 Oh, my gosh. 1471 01:34:17,700 --> 01:34:21,420 The crocodile's mouth is taped closed to prevent accidents. 1472 01:34:21,420 --> 01:34:23,980 Hold its head, It can be quite strong. 1473 01:34:23,980 --> 01:34:27,380 OK. Doing it. Yes. Be careful. Oh, my God. 1474 01:34:27,380 --> 01:34:29,620 I feel like my heart's in my mouth. 1475 01:34:32,420 --> 01:34:35,220 The vet drills through a scale to attach the tracker. 1476 01:34:35,220 --> 01:34:37,500 This doesn't hurt the animal. 1477 01:34:37,500 --> 01:34:41,540 This is like the equivalent of putting holes in your ears, isn't it? Right. Yeah. 1478 01:34:44,140 --> 01:34:46,540 Once the trackers are firmly attached, 1479 01:34:46,540 --> 01:34:49,100 the crocodiles are secured in baskets 1480 01:34:49,100 --> 01:34:51,820 that protect them for the journey ahead. 1481 01:34:53,220 --> 01:34:56,940 The animals are wrapped tightly to prevent them from thrashing 1482 01:34:56,940 --> 01:35:00,740 and the baskets soaked in water to keep them comfortable 1483 01:35:00,740 --> 01:35:03,300 until they reach their new home. 1484 01:35:03,300 --> 01:35:07,980 This might seem brutal, but I guess it's a really small price to pay to get back into the wild. 1485 01:35:07,980 --> 01:35:10,500 Yeah, and these are very tough creatures. 1486 01:35:10,500 --> 01:35:14,540 Soon enough, in a few days this crocodile will be one of the happiest Siamese crocodiles 1487 01:35:14,540 --> 01:35:16,820 in a very pristine environment. 1488 01:35:21,700 --> 01:35:25,620 Three adults and seven young crocodiles are fitted with tags... 1489 01:35:27,020 --> 01:35:30,380 ..bundled, and loaded onto the vehicle. 1490 01:35:30,380 --> 01:35:31,780 All right. 1491 01:35:31,780 --> 01:35:33,740 So it's been a really long day 1492 01:35:33,740 --> 01:35:36,380 and it's going to be a long night, right? 1493 01:35:36,380 --> 01:35:39,660 It is. Yeah, it's going to be eight hours now, driving. 1494 01:35:39,660 --> 01:35:41,940 Long night, but it will be worth it. 1495 01:35:43,540 --> 01:35:45,580 We travel through the night 1496 01:35:45,580 --> 01:35:48,660 to avoid the tropical sunshine as much as possible. 1497 01:35:59,420 --> 01:36:02,900 Where the road ends, the expedition has to continue... 1498 01:36:03,860 --> 01:36:05,540 ..on mopeds. 1499 01:36:05,540 --> 01:36:08,940 So basically, we have crocodiles in baskets, 1500 01:36:08,940 --> 01:36:11,300 on mopeds, travelling in convoy. 1501 01:36:12,700 --> 01:36:14,900 Didn't ever think I would ever say that. 1502 01:36:23,980 --> 01:36:27,780 We are heading deep into the Cardamom Mountains rainforest. 1503 01:36:29,420 --> 01:36:32,620 This time much further than last year, 1504 01:36:32,620 --> 01:36:35,860 and the journey is not for the faint-hearted. 1505 01:36:37,260 --> 01:36:39,540 But the effort is well worth it. 1506 01:36:39,540 --> 01:36:44,740 In 2022, Pablo and his team oversaw the biggest ever release 1507 01:36:44,740 --> 01:36:48,020 of Siamese crocodiles back into the wild. 1508 01:36:49,900 --> 01:36:54,380 They successfully released 35 of these precious reptiles, 1509 01:36:54,380 --> 01:36:58,820 boosting the Cambodian population by over 10%. 1510 01:37:02,940 --> 01:37:07,100 After 24 hours travel and a very numb bottom, 1511 01:37:07,100 --> 01:37:09,900 we arrive at the protected release site. 1512 01:37:09,900 --> 01:37:11,540 There you go, babe. 1513 01:37:12,540 --> 01:37:16,060 Our ten crocodiles are released into a temporary pen, 1514 01:37:16,060 --> 01:37:19,580 where they will acclimatise to their new environment. 1515 01:37:21,180 --> 01:37:24,220 And it's finally time for me to "acclimatise" 1516 01:37:24,220 --> 01:37:26,260 in my hammock for the night. 1517 01:37:34,460 --> 01:37:37,380 Once released, these crocodiles will be protected 1518 01:37:37,380 --> 01:37:39,780 by the community that live here. 1519 01:37:39,780 --> 01:37:43,300 And, in return, their presence will hopefully safeguard 1520 01:37:43,300 --> 01:37:47,060 the wider ecosystem and the people that call it home. 1521 01:37:48,100 --> 01:37:51,260 Mr Chan is from the indigenous Chorng community 1522 01:37:51,260 --> 01:37:54,660 and has lived in this region for over 70 years. 1523 01:37:54,660 --> 01:37:58,460 He joined the team of wardens here 15 years ago. 1524 01:38:09,940 --> 01:38:13,100 How have things changed over the years with crocodile numbers? 1525 01:38:44,700 --> 01:38:48,220 Mr Sam Han, a researcher for Fauna and Flora, 1526 01:38:48,220 --> 01:38:52,140 joined Mr Chan in his crocodile conservation efforts 1527 01:38:52,140 --> 01:38:56,500 and The Cambodian Crocodile Conservation Project was formed. 1528 01:39:19,220 --> 01:39:24,140 The Cardamoms is one of the largest and oldest tracts of rainforest 1529 01:39:24,140 --> 01:39:26,380 in Southeast Asia. 1530 01:39:26,380 --> 01:39:30,380 The dense vegetation, however, makes it almost impossible 1531 01:39:30,380 --> 01:39:32,660 to see and monitor wildlife. 1532 01:39:33,860 --> 01:39:37,900 But scientists in the UK have developed an ingenious bit of kit 1533 01:39:37,900 --> 01:39:40,100 to get around the problem. 1534 01:39:42,180 --> 01:39:45,180 This technology is absolutely ground-breaking. 1535 01:39:45,180 --> 01:39:49,340 Using this water here, which looks completely clear to the naked eye, 1536 01:39:49,340 --> 01:39:55,460 we're going to be able to identify what species are in this area. 1537 01:39:55,460 --> 01:39:57,740 That is very impressive. 1538 01:39:57,740 --> 01:40:01,100 Yeah, the animals that are in the river 1539 01:40:01,100 --> 01:40:04,940 will shed cells from their skin, hairs etc. 1540 01:40:04,940 --> 01:40:09,380 We're collecting water samples and forcing them through filters, 1541 01:40:09,380 --> 01:40:14,140 which trap the microscopic animal flakes ready for lab analysis. 1542 01:40:14,140 --> 01:40:18,300 This filter is basically collecting everything that is in the water, 1543 01:40:18,300 --> 01:40:22,940 but what we're interested in is tiny fragments of DNA, 1544 01:40:22,940 --> 01:40:26,020 of genetic material, that we can then use 1545 01:40:26,020 --> 01:40:29,980 to detect the species that are present in the area. 1546 01:40:29,980 --> 01:40:34,180 So this is an incredibly efficient way of building a picture 1547 01:40:34,180 --> 01:40:37,500 of the diversity of species in a given area. 1548 01:40:37,500 --> 01:40:39,460 When we protect the crocodiles, 1549 01:40:39,460 --> 01:40:42,100 what we are doing is protecting the habitat, 1550 01:40:42,100 --> 01:40:46,780 and by protecting the habitat, we are helping ensure 1551 01:40:46,780 --> 01:40:51,460 that the entire array of species living here actually survives. 1552 01:40:51,460 --> 01:40:54,140 It's more than just about the crocodiles. 1553 01:40:54,140 --> 01:40:55,940 It is about, you know, 1554 01:40:55,940 --> 01:41:00,620 the biodiversity of this entire ecosystem in the Cardamom mountains. 1555 01:41:00,620 --> 01:41:02,940 We see this pattern a lot, right? 1556 01:41:02,940 --> 01:41:08,500 Protecting a species protects the environment around it, and that it lives in. 1557 01:41:08,500 --> 01:41:11,900 And I guess actually that's what Gordon is seeing 1558 01:41:11,900 --> 01:41:13,900 in Brazil with the jaguars - 1559 01:41:13,900 --> 01:41:17,500 that by protecting them, they're protecting the environment. 1560 01:41:17,500 --> 01:41:20,620 Exactly. It's the same thing with Siamese crocodiles. 1561 01:41:26,020 --> 01:41:28,980 The time has finally come for the crocodiles 1562 01:41:28,980 --> 01:41:32,620 to take their rightful place in the forest. 1563 01:41:32,620 --> 01:41:36,860 This is so cool. The crocs have been acclimatising for three days, 1564 01:41:36,860 --> 01:41:39,580 it's the moment we've all been waiting for. 1565 01:41:39,580 --> 01:41:42,980 It's the moment it was bred for and my heart is racing right now. 1566 01:41:55,300 --> 01:41:58,180 These are literally her very, very last few seconds 1567 01:41:58,180 --> 01:42:01,180 before she is released into the wild, before she is free. 1568 01:42:01,180 --> 01:42:03,060 It's kind of epic, right? 1569 01:42:03,060 --> 01:42:04,900 Good luck, guys. 1570 01:42:13,820 --> 01:42:15,940 Woo! Amazing! Well done! 1571 01:42:17,260 --> 01:42:18,740 Mr Han. 1572 01:42:18,740 --> 01:42:21,900 Look at his face. He's just beaming. Oh, my God. 1573 01:42:21,900 --> 01:42:25,300 What is your hope for this crocodile and all the other crocodiles? 1574 01:42:25,300 --> 01:42:28,580 My hope is that she will start producing lots of eggs 1575 01:42:28,580 --> 01:42:31,540 and then that will help boost the populations. 1576 01:42:31,540 --> 01:42:35,660 The ultimate goal would be to have a population that is viable in the long term. 1577 01:42:35,660 --> 01:42:38,820 We're aiming for 10,000 crocodiles in Cambodia. 1578 01:42:38,820 --> 01:42:41,700 It's an ambitious target, but we are... We are on our way. 1579 01:42:41,700 --> 01:42:44,700 She's literally never been in the wild before. 1580 01:42:44,700 --> 01:42:47,460 This is a completely new environment for her. 1581 01:42:47,460 --> 01:42:49,940 It is the first time it's swimming free in a river. 1582 01:42:49,940 --> 01:42:52,940 This is a six-year-old crocodile. So after six years... 1583 01:42:52,940 --> 01:42:55,620 Can you imagine? ..swimming free. Oh! 1584 01:43:00,100 --> 01:43:02,380 All the crocodiles are set free. 1585 01:43:09,860 --> 01:43:16,060 Recent data suggests that half the world's GDP is dependent on nature. 1586 01:43:16,060 --> 01:43:20,780 If an ecosystem, and ultimately the planet, is to stand a chance, 1587 01:43:20,780 --> 01:43:23,740 then preserving its biodiversity, 1588 01:43:23,740 --> 01:43:28,460 and that means every single bit of it, is vital. 1589 01:43:28,460 --> 01:43:33,420 The release of these ancient creatures into their natural habitat 1590 01:43:33,420 --> 01:43:35,980 is helping to do just that. 1591 01:43:37,340 --> 01:43:39,380 What an absolute privilege. 1592 01:43:39,380 --> 01:43:44,780 In 1999, people thought that the Siamese crocodile was effectively extinct 1593 01:43:44,780 --> 01:43:50,580 and I just got to help release one, two, three, ten. 1594 01:43:52,140 --> 01:43:55,740 And the truth is, absolutely none of it would have been possible 1595 01:43:55,740 --> 01:43:58,060 without these incredible scientists 1596 01:43:58,060 --> 01:44:00,500 and without this incredible local community. 1597 01:44:02,020 --> 01:44:04,420 The pressure on natural resources 1598 01:44:04,420 --> 01:44:07,260 across Southeast Asia continues to build. 1599 01:44:07,260 --> 01:44:09,420 Ecosystems are collapsing 1600 01:44:09,420 --> 01:44:12,780 and species teetering on the brink of extinction. 1601 01:44:12,780 --> 01:44:16,860 But it is no longer happening behind closed doors. 1602 01:44:16,860 --> 01:44:21,100 Thanks to communities like this one, expert scientists, 1603 01:44:21,100 --> 01:44:24,940 and emerging technology, our eyes are open. 1604 01:44:24,940 --> 01:44:29,500 The world is watching and we're starting to see ripples of action 1605 01:44:29,500 --> 01:44:34,060 that I hope, over the coming years, will become a flood of change. 1606 01:44:45,460 --> 01:44:48,340 I'm shocked to find out that, here in Kenya, 1607 01:44:48,340 --> 01:44:50,580 such a beautiful country, 1608 01:44:50,580 --> 01:44:53,540 the relationship between people and elephants 1609 01:44:53,540 --> 01:44:55,820 is being destroyed by drought. 1610 01:44:55,820 --> 01:44:59,020 We're in a really desperate situation, not just in Tsavo, 1611 01:44:59,020 --> 01:45:01,740 but in the rest of Kenya at the moment. 1612 01:45:01,740 --> 01:45:05,340 Lucy tells me how the situation has reached breaking point. 1613 01:45:06,700 --> 01:45:09,900 When I first came here in 2009, the conflict was there, 1614 01:45:09,900 --> 01:45:12,260 but it wasn't catastrophic. 1615 01:45:12,260 --> 01:45:15,420 Now, we're just seeing such an increased level of conflict 1616 01:45:15,420 --> 01:45:17,580 that's becoming lethal. 1617 01:45:17,580 --> 01:45:19,660 If it's this bad now, 1618 01:45:19,660 --> 01:45:23,580 what happens if it doesn't rain for another year or another ten years? 1619 01:45:23,580 --> 01:45:26,940 When you say "lethal" and "catastrophic", 1620 01:45:26,940 --> 01:45:29,980 I mean they're big words, what do you mean? 1621 01:45:29,980 --> 01:45:32,100 Really meaning lethal for both sides. 1622 01:45:32,100 --> 01:45:34,180 It can certainly be lethal for elephants 1623 01:45:34,180 --> 01:45:36,500 because communities can be throwing stones, 1624 01:45:36,500 --> 01:45:39,300 throwing fire, they can shoot them with bows and arrows. 1625 01:45:39,300 --> 01:45:42,540 But of course, it can really be lethal for people. 1626 01:45:42,540 --> 01:45:46,180 One lady who we knew just came out of her house one morning 1627 01:45:46,180 --> 01:45:50,380 and just got picked up by an elephant and slammed against the house and her neck was broken. 1628 01:45:50,380 --> 01:45:53,500 Oh... Oh, my. Yeah, so really lethal. 1629 01:45:53,500 --> 01:45:56,220 And we've also had elephants killed in the farms, 1630 01:45:56,220 --> 01:45:59,020 and not for tusks, you know, not for poaching. 1631 01:45:59,020 --> 01:46:00,900 That's not the issue. 1632 01:46:00,900 --> 01:46:03,580 The issue is people don't want elephants in their farms. 1633 01:46:03,580 --> 01:46:06,940 Traditionally, you had a level of tolerance in the communities 1634 01:46:06,940 --> 01:46:09,340 and certainly a cultural respect for elephants, 1635 01:46:09,340 --> 01:46:11,420 which was very strong in Kenya. 1636 01:46:11,420 --> 01:46:14,060 That starts to erode very fast when kids are killed 1637 01:46:14,060 --> 01:46:17,820 or an old lady is, you know, killed in her house, in her doorway. 1638 01:46:24,660 --> 01:46:29,260 For 16 years, Lucy has been studying and protecting elephants here. 1639 01:46:29,260 --> 01:46:31,460 But the focus is changing. 1640 01:46:32,540 --> 01:46:34,940 As human-elephant conflict escalates, 1641 01:46:34,940 --> 01:46:39,060 Lucy knows we need to protect people in order to save elephants. 1642 01:46:48,860 --> 01:46:51,860 Food insecurity is elephant insecurity, 1643 01:46:51,860 --> 01:46:53,940 they are absolutely tied together. 1644 01:46:53,940 --> 01:46:57,260 Communities and elephants, they coexist, 1645 01:46:57,260 --> 01:46:59,460 and they fall or die together. 1646 01:47:03,500 --> 01:47:05,260 How are you? Fine. 1647 01:47:05,260 --> 01:47:08,420 Using elephant biology and behavioural science, 1648 01:47:08,420 --> 01:47:13,060 Lucy creates tools for repelling elephants and reducing conflict. 1649 01:47:14,900 --> 01:47:18,500 People need real solutions, but they also have to be affordable. 1650 01:47:18,500 --> 01:47:22,620 So, it's all very well saying, "Let's put up an electric fence around every farm." 1651 01:47:22,620 --> 01:47:25,940 It's just not practical. It's not realistic. It's too expensive. 1652 01:47:25,940 --> 01:47:29,220 And it'll use up a lot of energy as well. And it uses up a lot of energy. 1653 01:47:29,220 --> 01:47:32,820 So, I'm much more interested in holistic approaches to this challenge. 1654 01:47:34,860 --> 01:47:36,940 Lucy made a discovery 1655 01:47:36,940 --> 01:47:40,620 that changed her entire approach to mitigating conflict. 1656 01:47:41,620 --> 01:47:43,540 Nature offers solutions. 1657 01:47:45,220 --> 01:47:49,220 We found out that elephants were running away from bees. 1658 01:47:51,020 --> 01:47:53,180 They were scared of being stung, 1659 01:47:53,180 --> 01:47:56,420 and they wouldn't forage in trees which had beehives in. 1660 01:47:56,420 --> 01:48:00,220 So those trees were being naturally protected against elephant foraging. 1661 01:48:00,220 --> 01:48:03,660 So we took that natural idea and I turned that into this beehive fence, 1662 01:48:03,660 --> 01:48:05,900 which is a practical application - 1663 01:48:05,900 --> 01:48:08,620 keeping elephants out of smallholder farms 1664 01:48:08,620 --> 01:48:11,020 using their natural fear of bees. 1665 01:48:13,900 --> 01:48:18,380 Lucy helps farmers like Charity install beehive fences. 1666 01:48:18,380 --> 01:48:22,860 They protect her crops and provide her with honey that she can sell. 1667 01:48:25,940 --> 01:48:28,260 How effective is it? 1668 01:48:28,260 --> 01:48:31,820 We've studied this for a long time now in many sites around Africa 1669 01:48:31,820 --> 01:48:35,700 and our core study site here, it's around 80% effective. 1670 01:48:35,700 --> 01:48:37,820 And that extra 20%... 80%? 1671 01:48:37,820 --> 01:48:39,860 Yeah, I know. 80%. I mean, think... 1672 01:48:39,860 --> 01:48:42,620 I mean that's really, really effective. 1673 01:48:42,620 --> 01:48:46,500 As a result, the fences are very popular. 1674 01:48:46,500 --> 01:48:50,740 So far, more than 11,000 hives have been installed. 1675 01:48:50,740 --> 01:48:53,940 But there's now a problem with this brilliant fix. 1676 01:48:55,660 --> 01:48:58,020 If you don't have good floral diversity, 1677 01:48:58,020 --> 01:49:00,300 the bees don't have anything to feed on 1678 01:49:00,300 --> 01:49:02,700 and of course floral diversity comes with rain. 1679 01:49:02,700 --> 01:49:05,940 Oh, yeah. So we're back to that old challenge again. 1680 01:49:05,940 --> 01:49:08,980 So now, so many of our beehives are empty. 1681 01:49:12,100 --> 01:49:14,780 Lucy and the team at Save the Elephants 1682 01:49:14,780 --> 01:49:17,660 have pulled together every conceivable method 1683 01:49:17,660 --> 01:49:21,300 of deterring elephants from raiding crops without harming them, 1684 01:49:21,300 --> 01:49:23,780 and they've created a practical manual 1685 01:49:23,780 --> 01:49:26,580 for communities struggling with conflict. 1686 01:49:26,580 --> 01:49:29,380 We need multiple tools, multiple solutions, 1687 01:49:29,380 --> 01:49:31,940 and often they need to be rotated throughout the year. 1688 01:49:31,940 --> 01:49:34,460 And we call that the tool box. 1689 01:49:34,460 --> 01:49:38,140 This "how-to" guide is currently being distributed 1690 01:49:38,140 --> 01:49:40,900 to communities across Africa and Asia. 1691 01:49:42,300 --> 01:49:45,860 The solutions are based in science, they're affordable, 1692 01:49:45,860 --> 01:49:48,980 they're adaptable, they are nonlethal... 1693 01:49:50,020 --> 01:49:52,540 ..and, most importantly, they work. 1694 01:49:55,820 --> 01:49:58,020 Jones, this is the tool box. 1695 01:49:58,020 --> 01:50:00,220 Human-elephant coexistence tool box. 1696 01:50:00,220 --> 01:50:02,860 I thought it was a metal tool with tools inside! 1697 01:50:02,860 --> 01:50:06,820 Ah, no, no, no. So, we have one that we call the buzz box. 1698 01:50:06,820 --> 01:50:08,940 Have you ever seen this one? 1699 01:50:08,940 --> 01:50:11,540 No, but I'm ready to learn. 1700 01:50:11,540 --> 01:50:15,140 The tool box provides a wide range of ideas 1701 01:50:15,140 --> 01:50:19,740 so that farmers can adapt as seasons and events change. 1702 01:50:19,740 --> 01:50:23,020 One of the tools is a high-tech version 1703 01:50:23,020 --> 01:50:26,060 of Lucy's beehive fence - fake bees. 1704 01:50:27,380 --> 01:50:30,100 So, this is what we call a buzz box. 1705 01:50:30,100 --> 01:50:33,660 It has a solar panel on the roof which charges the whole unit, 1706 01:50:33,660 --> 01:50:35,700 and it sits on top of the post 1707 01:50:35,700 --> 01:50:38,620 and it has an infra-red signal that comes out here, 1708 01:50:38,620 --> 01:50:41,940 and whatever goes in front of it, up to about 30 foot, 1709 01:50:41,940 --> 01:50:44,460 will trigger sounds to come out of it. 1710 01:50:44,460 --> 01:50:46,580 But the one we're using is bees. 1711 01:50:47,980 --> 01:50:50,380 The guide includes plans for watch towers 1712 01:50:50,380 --> 01:50:53,900 that provide early warning systems for whole communities, 1713 01:50:53,900 --> 01:50:58,260 as well as simple, home-made deterrents based on science. 1714 01:51:00,020 --> 01:51:04,460 Elephants have extremely good hearing, very good smell and very poor eyesight. 1715 01:51:04,460 --> 01:51:08,460 So we're using that biology of the elephants to come up with new solutions. 1716 01:51:08,460 --> 01:51:10,940 What doesn't an elephant like to smell? 1717 01:51:10,940 --> 01:51:14,700 So, they have about 40,000 muscles in their trunk, 1718 01:51:14,700 --> 01:51:16,780 full of incredible sensors. 1719 01:51:16,780 --> 01:51:19,180 They're smelling much more than you and I are. 1720 01:51:19,180 --> 01:51:21,740 Some of the things that they hate smelling 1721 01:51:21,740 --> 01:51:25,340 and can actually burn the inside of their trunk a little bit is chilli. 1722 01:51:27,820 --> 01:51:31,380 Jones has started experimenting with a new deterrent, 1723 01:51:31,380 --> 01:51:33,820 called the condom-chilli-bomb. 1724 01:51:42,300 --> 01:51:46,260 As the firecracker explodes, it splits the condom, and it goes poof, 1725 01:51:46,260 --> 01:51:49,580 and you get a shower of chilli over the elephant. Oh, man. 1726 01:51:51,180 --> 01:51:54,180 It doesn't cause any long-term harm to the elephants, 1727 01:51:54,180 --> 01:51:57,140 but it does put them off approaching Jones' farm. 1728 01:51:58,580 --> 01:52:01,180 As well as being inspired to try new methods, 1729 01:52:01,180 --> 01:52:04,220 Jones has recently contributed to the tool box 1730 01:52:04,220 --> 01:52:06,340 with his own non-invasive device 1731 01:52:06,340 --> 01:52:10,300 that will be shared with farmers across Africa and Asia. 1732 01:52:10,300 --> 01:52:12,380 LOUD CLANGING 1733 01:52:13,620 --> 01:52:15,820 Wow, that's a noisy gun! 1734 01:52:18,260 --> 01:52:20,540 We're just having to think differently 1735 01:52:20,540 --> 01:52:23,220 about how are we going to live with a changing climate. 1736 01:52:23,220 --> 01:52:25,620 So, I really believe in this tool box. 1737 01:52:25,620 --> 01:52:28,740 I think it is the solution and I think it can always be expanded. 1738 01:52:28,740 --> 01:52:30,700 It's not finite. 1739 01:52:30,700 --> 01:52:34,700 It's a completely evolving, exciting thing that everyone can contribute to. 1740 01:52:39,220 --> 01:52:41,500 Over the next two years, 1741 01:52:41,500 --> 01:52:45,820 the tool box will be in the hands of thousands of subsistence farmers 1742 01:52:45,820 --> 01:52:51,540 and has already reached 167 project partners across 40 countries. 1743 01:52:52,900 --> 01:52:56,140 The hope is that it will save lives on both sides. 1744 01:53:02,620 --> 01:53:05,140 Keen to know if the rains had arrived, 1745 01:53:05,140 --> 01:53:08,380 I caught up with Jones in November 2022. 1746 01:53:08,380 --> 01:53:09,860 They hadn't. 1747 01:53:11,180 --> 01:53:13,260 But his relationship with the elephants 1748 01:53:13,260 --> 01:53:15,100 had taken a surprising turn. 1749 01:53:17,060 --> 01:53:20,100 80% of the cattle in the village have already died. 1750 01:53:20,100 --> 01:53:22,620 We are trying to save what we can. 1751 01:53:22,620 --> 01:53:27,260 We had to look for ways through which we could get something to feed the cows. 1752 01:53:27,260 --> 01:53:31,060 I discovered that elephants were uprooting these tubers. 1753 01:53:32,180 --> 01:53:34,540 These tubers are called maduye. 1754 01:53:34,540 --> 01:53:37,580 They're thirst-quenching and fibre-rich. 1755 01:53:37,580 --> 01:53:41,700 Elephants dig them up when other food runs out. 1756 01:53:41,700 --> 01:53:46,620 Elephants are my neighbours, so we have to learn from our neighbour. 1757 01:53:46,620 --> 01:53:50,020 So, I realised they are surviving out of this. 1758 01:53:50,020 --> 01:53:53,420 I realised I can also save the few remaining cows 1759 01:53:53,420 --> 01:53:55,820 by feeding them with these tubers. 1760 01:53:57,260 --> 01:54:01,100 Jones and his family copied the elephants and began digging. 1761 01:54:03,020 --> 01:54:05,820 So, I tried now to go and feed the cows 1762 01:54:05,820 --> 01:54:08,660 and I discovered that they were eating. 1763 01:54:11,980 --> 01:54:16,300 Understanding elephant behaviour has saved Jones and his cows, 1764 01:54:16,300 --> 01:54:18,780 and also helped reduce conflict. 1765 01:54:20,620 --> 01:54:24,860 Now, people are learning survival techniques from their five-tonne neighbours 1766 01:54:24,860 --> 01:54:28,220 that might help sustain them through the ongoing drought. 1767 01:54:29,660 --> 01:54:31,500 It breaks my heart to think just... 1768 01:54:32,420 --> 01:54:35,100 ..how tough things have been 1769 01:54:35,100 --> 01:54:37,660 for the people here and for the elephants. 1770 01:54:39,660 --> 01:54:42,260 But the one thing that does give me hope 1771 01:54:42,260 --> 01:54:44,900 is just the fact that the farmers now 1772 01:54:44,900 --> 01:54:47,940 are finding a way to co-exist with the elephants. 1773 01:54:50,260 --> 01:54:55,300 Astonishing natural solutions mixed with human ingenuity. 1774 01:54:55,300 --> 01:54:57,540 What a combination. 1775 01:55:01,860 --> 01:55:05,700 At the end of year two of this extraordinary project, 1776 01:55:05,700 --> 01:55:09,020 it's clear to see that working with nature 1777 01:55:09,020 --> 01:55:12,060 and recognising it as our strongest ally 1778 01:55:12,060 --> 01:55:14,980 is the most powerful way of safeguarding 1779 01:55:14,980 --> 01:55:17,100 the health of our planet. 1780 01:55:18,620 --> 01:55:20,580 Over the coming years, 1781 01:55:20,580 --> 01:55:23,900 we'll be keeping up with the determined people we've met 1782 01:55:23,900 --> 01:55:28,020 and their inspiring work across our changing planet. 154310

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