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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:07,920 --> 00:00:09,280 Cats. 2 00:00:18,080 --> 00:00:19,360 One family... 3 00:00:21,440 --> 00:00:23,920 ..40 different faces. 4 00:00:26,640 --> 00:00:30,160 They captivate us, like no other animal. 5 00:00:34,240 --> 00:00:39,560 But surprisingly little is known about these remarkable predators. 6 00:00:43,960 --> 00:00:45,320 Right now, across the planet, 7 00:00:45,320 --> 00:00:47,960 passionate people are devoting themselves 8 00:00:47,960 --> 00:00:49,840 to learning more about cats... 9 00:00:49,840 --> 00:00:53,760 Oh, here we go, we're downloading collar 7-5-0. 10 00:00:53,760 --> 00:00:58,080 ..going to extraordinary lengths to get closer than ever before... 11 00:00:58,080 --> 00:00:59,800 Holy mackerel. YOWLS 12 00:00:59,800 --> 00:01:01,000 He's a loose cannon. 13 00:01:01,000 --> 00:01:03,160 ..making new discoveries... 14 00:01:03,160 --> 00:01:05,520 There you go. There we go. Good job, Ginny. 15 00:01:05,520 --> 00:01:10,200 ..that reveal the intimate secrets of their lives. 16 00:01:10,200 --> 00:01:11,800 There it is, just in front of us. 17 00:01:11,800 --> 00:01:14,160 Oh, that's very special. HE LAUGHS 18 00:01:17,640 --> 00:01:21,160 At a time when all cats face an uncertain future... 19 00:01:21,160 --> 00:01:24,880 If we get complacent, we could see tigers go extinct. 20 00:01:24,880 --> 00:01:26,680 YOWLS 21 00:01:26,680 --> 00:01:30,400 ..this is an amazing age of discovery... 22 00:01:31,880 --> 00:01:33,840 ..that's revolutionising... 23 00:01:33,840 --> 00:01:36,760 There! ..how we view the cats. 24 00:01:36,760 --> 00:01:38,880 GROWLS 25 00:02:03,240 --> 00:02:06,560 Cheetahs are the world's fastest land animal. 26 00:02:14,480 --> 00:02:17,920 It's said they can accelerate faster than a Ferrari. 27 00:02:30,520 --> 00:02:34,040 But no-one knows for sure what they're really capable of. 28 00:02:40,440 --> 00:02:46,120 Professor Alan Wilson has spent the last five years trying to find out. 29 00:02:50,000 --> 00:02:54,160 Cheetahs are amazing. They're so much faster than anything else. 30 00:02:54,160 --> 00:02:56,800 We've got an animal that has got four times the acceleration 31 00:02:56,800 --> 00:02:59,440 of Usain Bolt and more than twice the top speed. 32 00:02:59,440 --> 00:03:01,760 How can they not be fascinating to study? 33 00:03:04,200 --> 00:03:09,320 Alan wants to find the cheetahs' top speed when it really counts - 34 00:03:09,320 --> 00:03:10,520 during a hunt. 35 00:03:13,960 --> 00:03:18,640 He's developed hi-tech collars to record the cheetahs' speed, position 36 00:03:18,640 --> 00:03:20,880 and G-force while they're hunting. 37 00:03:25,920 --> 00:03:28,680 The cheetahs soon disappear - 38 00:03:28,680 --> 00:03:31,720 they cover hundreds of miles in search of their prey. 39 00:03:32,840 --> 00:03:37,480 That makes getting any information back from the collars a real challenge. 40 00:03:39,320 --> 00:03:41,080 Alan's solution? 41 00:03:41,080 --> 00:03:45,560 He's built his own plane...from scratch... 42 00:03:46,720 --> 00:03:48,720 ..learnt how to fly it 43 00:03:48,720 --> 00:03:53,640 and then filled it to the brim with the latest technology. 44 00:03:55,800 --> 00:03:57,840 We have a tracking antenna on the wing. 45 00:03:57,840 --> 00:04:02,000 We have a three-dimensional laser scanner. We have a video camera on a gimbal. 46 00:04:02,000 --> 00:04:04,160 That's a missile guidance system. 47 00:04:07,280 --> 00:04:10,880 OK, let's go find some cheetah. 48 00:04:32,440 --> 00:04:36,640 Coming into the air is just such a revolution for wildlife research. 49 00:04:43,920 --> 00:04:46,240 OK, cheetahs on the left wing tip. 50 00:04:50,960 --> 00:04:54,480 The cheetahs' collars record details of their movements 51 00:04:54,480 --> 00:04:57,000 300 times a second. 52 00:05:02,080 --> 00:05:06,760 As the plane flies over, it locks on to each collar and downloads the data. 53 00:05:08,240 --> 00:05:11,560 There we go, we're downloading collar 7-5-0. 54 00:05:12,680 --> 00:05:16,440 Each of those files represents one hunt. 55 00:05:18,000 --> 00:05:20,720 After recording over 500 hunts, 56 00:05:20,720 --> 00:05:25,320 Alan clocked a cheetah's top speed of 58mph. 57 00:05:29,760 --> 00:05:31,200 Impressive. 58 00:05:32,440 --> 00:05:36,160 But what surprised him was that most hunts were much slower, 59 00:05:36,160 --> 00:05:38,760 only half their potential top speed. 60 00:05:41,320 --> 00:05:46,280 It turns out, for a cheetah, hunting is not all about the sprint. 61 00:05:55,400 --> 00:05:58,520 So what are they relying on to catch their dinner? 62 00:06:06,120 --> 00:06:10,120 To investigate, Alan has enlisted three volunteers... 63 00:06:14,880 --> 00:06:17,120 ..and a rag on a string. 64 00:06:20,120 --> 00:06:24,440 These hand-reared cheetah love chasing a moving lure... 65 00:06:27,000 --> 00:06:30,640 ..replicating how cheetahs behave when hunting. 66 00:06:38,360 --> 00:06:40,640 Prey animals don't run in a straight line for long. 67 00:06:43,400 --> 00:06:48,960 To follow their prey, cheetahs must also weave and change direction. 68 00:06:51,640 --> 00:06:54,240 This manoeuvring inevitably slows them down... 69 00:06:56,040 --> 00:06:59,240 ..but it's also where their real strength lies. 70 00:07:08,000 --> 00:07:09,720 The accelerations and decelerations, 71 00:07:09,720 --> 00:07:13,640 the G-forces they're pulling in the turns, are very high. 72 00:07:17,200 --> 00:07:21,320 The force going through their legs would be enough to break a human leg bone. 73 00:07:27,720 --> 00:07:30,320 The lure's just taken the corner and the cheetah's banking, 74 00:07:30,320 --> 00:07:32,480 and see how it's using its tail here, 75 00:07:32,480 --> 00:07:34,680 which is helping control the roll of its body 76 00:07:34,680 --> 00:07:37,640 and helping stabilise it, and it slowed down to turn, 77 00:07:37,640 --> 00:07:40,920 then it's accelerating again out of shot towards the lure. 78 00:07:44,280 --> 00:07:46,040 Rather than speed, 79 00:07:46,040 --> 00:07:48,720 the key to the cheetahs' hunting success... 80 00:07:51,120 --> 00:07:52,480 ..is their agility. 81 00:07:57,480 --> 00:08:00,720 We started believing that cheetahs are the elite sprinter 82 00:08:00,720 --> 00:08:02,840 and that was their main attribute. 83 00:08:02,840 --> 00:08:05,440 What we've seen is that they're gymnasts - 84 00:08:05,440 --> 00:08:09,280 they can accelerate, they can manoeuvre, they can turn. And that is 85 00:08:09,280 --> 00:08:13,920 what they're good at. Almost the speed is a by-product of all that athleticism. 86 00:08:15,400 --> 00:08:17,240 So they are remarkable athletes 87 00:08:17,240 --> 00:08:19,640 but we shouldn't think of them as just a speed merchant, 88 00:08:19,640 --> 00:08:22,120 there's much more to their repertoire than that. 89 00:08:28,640 --> 00:08:32,000 Having challenged our idea of how cheetahs hunt, 90 00:08:32,000 --> 00:08:36,480 Alan's now turning his attention to where they hunt. 91 00:08:40,120 --> 00:08:44,520 It's long been thought that open grassland is their prime habitat 92 00:08:44,520 --> 00:08:47,760 but even that may not be true. 93 00:08:49,160 --> 00:08:53,200 What we're seeing is they're actually even more successful in trees, 94 00:08:53,200 --> 00:08:55,600 in dense scrub and even in farmland. 95 00:08:55,600 --> 00:08:59,240 And this makes sense. 96 00:08:59,240 --> 00:09:03,600 Extraordinary manoeuvrability offers a huge advantage when twisting and turning 97 00:09:03,600 --> 00:09:06,000 through a maze of trees and shrubs. 98 00:09:31,840 --> 00:09:35,640 Here, cheetahs can more than match their prey. 99 00:09:52,560 --> 00:09:54,480 Even with the most familiar cats... 100 00:09:55,520 --> 00:09:57,640 ..there's still so much to discover. 101 00:10:17,720 --> 00:10:18,800 Lions. 102 00:10:18,800 --> 00:10:19,840 GROWLS 103 00:10:21,040 --> 00:10:22,960 Supreme hunters. 104 00:10:22,960 --> 00:10:25,000 The strongest cat. 105 00:10:28,240 --> 00:10:30,920 Could they also be the cleverest big cat? 106 00:10:37,080 --> 00:10:40,040 Dr Natalia Borrego certainly thinks so, 107 00:10:40,040 --> 00:10:43,040 and is on a mission to prove it... 108 00:10:45,440 --> 00:10:49,040 ..although it's not the easiest thing to test in any cat, 109 00:10:49,040 --> 00:10:51,960 let alone a lion. 110 00:10:51,960 --> 00:10:57,400 Her theory is all down to the fact that lions live together in prides. 111 00:11:02,280 --> 00:11:06,480 So, cats are all solitary and effectively live on their own, 112 00:11:06,480 --> 00:11:08,760 except for lions - they live in prides 113 00:11:08,760 --> 00:11:12,200 and are very social. And we think of other social species - 114 00:11:12,200 --> 00:11:15,480 elephants, dolphins, spotted hyenas, chimpanzees - 115 00:11:15,480 --> 00:11:17,720 they're all very intelligent, 116 00:11:17,720 --> 00:11:21,240 so, in theory, lions should be the smartest of the cats. 117 00:11:21,240 --> 00:11:26,280 The idea that social animals are more intelligent is well established 118 00:11:26,280 --> 00:11:29,560 but has never been proved for lions. 119 00:11:37,920 --> 00:11:39,960 Cats are notoriously uncooperative. 120 00:11:41,560 --> 00:11:44,360 What possible IQ test could you set a lion? 121 00:11:46,960 --> 00:11:49,320 Natalia's travelled to South Africa 122 00:11:49,320 --> 00:11:53,040 for the chance to test a slightly unusual pride. 123 00:12:18,000 --> 00:12:22,240 Kevin Richardson has an unconventional approach to working with lions. 124 00:12:27,240 --> 00:12:30,600 For ten years, he's lived alongside these rescued animals... 125 00:12:32,680 --> 00:12:34,480 ..becoming part of the pride. 126 00:12:44,680 --> 00:12:47,320 Kevin can act as a go-between to the lions... 127 00:12:48,440 --> 00:12:52,600 ..giving Natalia a unique chance to run her experiments. 128 00:12:55,240 --> 00:12:58,520 So here looks good. 129 00:12:58,520 --> 00:13:02,160 Natalia has designed a puzzle for the cats to solve. 130 00:13:02,160 --> 00:13:03,720 Mind your fingers. Yeah. 131 00:13:03,720 --> 00:13:06,200 The lion must work out how to open a door, 132 00:13:06,200 --> 00:13:09,720 then reach its head inside to get a reward. 133 00:13:09,720 --> 00:13:10,760 Good. 134 00:13:10,760 --> 00:13:12,960 There's nothing like this in nature... 135 00:13:14,240 --> 00:13:18,400 ..so to Ginny, the lion, it's a Rubik's cube. 136 00:13:18,400 --> 00:13:19,600 And... Yeah. 137 00:13:19,600 --> 00:13:22,920 If the lions come, you just pop it down. I just pop it back down. 138 00:13:22,920 --> 00:13:23,960 Ginny. 139 00:13:23,960 --> 00:13:25,120 HE WHISTLES Here. 140 00:13:25,120 --> 00:13:26,360 Looka. 141 00:13:28,120 --> 00:13:31,560 First, she must figure out how to pull the door with her paw. 142 00:13:37,040 --> 00:13:38,200 Clever! 143 00:13:42,040 --> 00:13:44,240 Aw, you're so clever. 144 00:13:44,240 --> 00:13:46,880 You are so clever, my silly. Oh, but it slams, eh? 145 00:13:46,880 --> 00:13:49,360 What did it do? I think she's more interested 146 00:13:49,360 --> 00:13:51,480 in the box now than the food. 147 00:13:51,480 --> 00:13:52,760 Here. Here. 148 00:13:52,760 --> 00:13:55,120 Next, she needs to learn to stand back... 149 00:13:55,120 --> 00:13:57,760 There you go. ..and allow the door to swing open... 150 00:13:57,760 --> 00:13:59,120 Get your head out the way. 151 00:13:59,120 --> 00:14:01,080 Get your head out the way. 152 00:14:01,080 --> 00:14:02,560 There we go. ..before, finally, 153 00:14:02,560 --> 00:14:04,360 she can reach her head inside. Well done. 154 00:14:04,360 --> 00:14:06,920 That's not bad. I mean, that's... No, that's good. 155 00:14:09,800 --> 00:14:10,840 Clever. One more time? 156 00:14:10,840 --> 00:14:12,320 Yeah. Two more times? 157 00:14:12,320 --> 00:14:15,240 I think a couple more times. Couple more times. 158 00:14:15,240 --> 00:14:17,720 There, see, she got it. Ah. 159 00:14:17,720 --> 00:14:20,040 It's taken Ginny 20 minutes to figure out... 160 00:14:20,040 --> 00:14:22,640 Good job, Ginny. ..but now she's cracked it. There we go. 161 00:14:22,640 --> 00:14:24,560 Yeah, she's getting her head out of the way now. 162 00:14:24,560 --> 00:14:28,360 There we go. One more time. OK, OK, cool. 163 00:14:28,360 --> 00:14:29,960 There you go. Easy now she's got it. 164 00:14:29,960 --> 00:14:32,040 Well done. That deserves a round of applause. 165 00:14:36,080 --> 00:14:38,560 Next comes the crucial part of the test. 166 00:14:39,680 --> 00:14:42,280 Kevin has brought the lions into an enclosure 167 00:14:42,280 --> 00:14:45,480 to allow pride mate Libby to watch Ginny's efforts. 168 00:14:48,400 --> 00:14:51,400 The ability to learn by watching others 169 00:14:51,400 --> 00:14:53,640 is considered a real sign of intelligence. 170 00:14:54,920 --> 00:14:59,640 It would put lions in the company of the brainboxes of the natural world. 171 00:14:59,640 --> 00:15:03,880 Good. Yeah, you slam that door. That's it, stay open. Good girl. 172 00:15:03,880 --> 00:15:06,560 No, there she goes. She can see what she's doing. 173 00:15:07,640 --> 00:15:10,760 Yeah. Yeah, I think she's got it 174 00:15:10,760 --> 00:15:12,080 and it's time to let Libby out. 175 00:15:12,080 --> 00:15:14,200 If lions can learn from each other, 176 00:15:14,200 --> 00:15:17,880 Libby should solve the puzzle in seconds. 177 00:15:17,880 --> 00:15:19,840 If not... Let's see what she does. 178 00:15:19,840 --> 00:15:22,440 ..it's going to take her another 20 minutes. 179 00:15:22,440 --> 00:15:24,160 Now she goes to the right side. 180 00:15:26,680 --> 00:15:28,440 THEY BOTH LAUGH 181 00:15:30,760 --> 00:15:32,720 Oh, wow! There, I think... I don't think 182 00:15:32,720 --> 00:15:35,040 you can get any clearer than that. No, that was very good. 183 00:15:35,040 --> 00:15:36,840 That was amazing. Yeah, here we go, my girl. 184 00:15:36,840 --> 00:15:39,080 Here, here, here, here. Good job, Libby. 185 00:15:39,080 --> 00:15:43,960 It's the very first time anyone has shown that lions can learn from each other. 186 00:15:46,920 --> 00:15:48,400 She knows that that's the one there. 187 00:15:48,400 --> 00:15:49,800 Yeah. Yeah. 188 00:15:50,800 --> 00:15:54,440 Natalia has tested leopards and tigers. 189 00:15:54,440 --> 00:15:57,160 Lions outperform them both. 190 00:16:00,080 --> 00:16:02,840 It looks like Natalia's right... Now she doesn't even bother. 191 00:16:02,840 --> 00:16:05,400 ..lions are the smartest big cat. 192 00:16:05,400 --> 00:16:08,520 So the experiments went really well, much better 193 00:16:08,520 --> 00:16:13,760 than expected, and it really did show that lions can learn socially from each other. 194 00:16:17,320 --> 00:16:19,920 Their intelligence and ability to learn from each other 195 00:16:19,920 --> 00:16:24,560 allows lions to hunt like no other cat. 196 00:16:57,640 --> 00:16:59,800 No cat is easy to study. 197 00:16:59,800 --> 00:17:01,400 GROWLS 198 00:17:01,400 --> 00:17:04,400 At least lions are relatively easy to find. 199 00:17:10,440 --> 00:17:12,800 But most cats are so elusive... 200 00:17:15,600 --> 00:17:16,640 ..secretive... 201 00:17:20,240 --> 00:17:22,400 ..and well camouflaged... 202 00:17:25,000 --> 00:17:28,360 ..that they're rarely seen, let alone studied. 203 00:17:31,480 --> 00:17:36,320 Learning more about these cats takes people whose dedication knows no bounds. 204 00:17:43,600 --> 00:17:46,600 Someone like Dr Andrew Hearn. 205 00:17:52,880 --> 00:17:55,760 Deep in the forests of Borneo, 206 00:17:55,760 --> 00:17:59,800 a chance encounter set him off on his life's mission. 207 00:18:02,960 --> 00:18:08,360 I was part of an expedition team to an uncharted area of Indonesian Borneo. 208 00:18:08,360 --> 00:18:12,880 One morning, I went along a trail just to go and sit down and relax 209 00:18:12,880 --> 00:18:14,800 and see what wildlife I could see. 210 00:18:17,440 --> 00:18:19,080 And I was sat there quietly 211 00:18:19,080 --> 00:18:21,960 and a small little red cat walked out of the side 212 00:18:21,960 --> 00:18:24,480 of the forest, walked across the trail, 213 00:18:24,480 --> 00:18:27,160 paused about 20 metres in front of me. 214 00:18:27,160 --> 00:18:32,240 I grabbed my notebook, started to sketch it, but I had no idea what it was. 215 00:18:32,240 --> 00:18:35,240 It was only when I returned back to the camp later that day, 216 00:18:35,240 --> 00:18:36,840 spoke to some of the Indonesian staff 217 00:18:36,840 --> 00:18:39,680 and said, "Do you know this... Do you know this cat?" 218 00:18:39,680 --> 00:18:43,280 So it was only then that I learned that this was this, um, the Borneo bay cat, 219 00:18:43,280 --> 00:18:47,640 and it quickly became apparent that nothing was known about this animal. 220 00:18:49,280 --> 00:18:52,960 The bay cat is one of the world's least known cats... 221 00:18:56,640 --> 00:19:02,280 ..and Andrew has devoted every year since to finding out anything about them. 222 00:19:04,960 --> 00:19:10,960 But the chance of him seeing another one would be like winning the lottery, twice! 223 00:19:26,720 --> 00:19:28,920 So how do you study something you can't see? 224 00:19:33,640 --> 00:19:35,520 Camera traps. 225 00:19:35,520 --> 00:19:40,680 Combining a sensitive motion sensor with a high-resolution camera, 226 00:19:40,680 --> 00:19:44,320 Andrew and his team deploy dozens of these through the forest... 227 00:19:48,840 --> 00:19:53,400 ..and spend months trekking through the jungle checking them. 228 00:19:57,360 --> 00:20:02,160 Back at base, there are thousands of hours of footage to plough through. 229 00:20:07,000 --> 00:20:09,920 Most contain no cats whatsoever... 230 00:20:12,920 --> 00:20:17,480 ..and, when cats do show up, they may not be a bay cat... 231 00:20:17,480 --> 00:20:19,120 but still. 232 00:20:19,120 --> 00:20:22,400 Oh, clouded leopard. Fantastic. 233 00:20:22,400 --> 00:20:26,080 Oh, look at that, having a little yawn, and you can see 234 00:20:26,080 --> 00:20:30,720 how exceptionally long canines these cats have. 235 00:20:30,720 --> 00:20:35,960 In proportion to their skull size, they're the largest of any other cat. 236 00:20:37,000 --> 00:20:40,640 Ooh, so that is a marbled cat. 237 00:20:40,640 --> 00:20:43,720 Now, these guys, I mean, we know nothing about these cats, 238 00:20:43,720 --> 00:20:48,480 other than they probably spend much of their time up in the trees. 239 00:20:48,480 --> 00:20:51,120 So as they walk along, they hold this exceptionally long tail 240 00:20:51,120 --> 00:20:53,360 almost horizontally 241 00:20:53,360 --> 00:20:56,960 and that probably gives them balance while moving through the canopy. 242 00:20:58,120 --> 00:21:01,240 Ah, the leopard cat. 243 00:21:02,280 --> 00:21:05,400 So this is really quite rare for us to record this guy. 244 00:21:08,320 --> 00:21:12,880 After scrolling through countless videos, Andrew finally filmed a bay cat... 245 00:21:18,720 --> 00:21:20,040 ..almost. 246 00:21:20,040 --> 00:21:24,000 So this is the first-ever video of the bay cat in the world. 247 00:21:27,840 --> 00:21:30,960 It's not the finest video, it's not the, er, the most exciting 248 00:21:30,960 --> 00:21:33,280 but to us that was just spectacular. 249 00:21:33,280 --> 00:21:36,480 We were absolutely blown away when this thing 250 00:21:36,480 --> 00:21:38,600 appeared on the camera traps in front of us. 251 00:21:38,600 --> 00:21:41,720 This is the fruit of 12 years' labour... 252 00:21:42,880 --> 00:21:47,760 ..yet to this day only two videos of wild bay cats exist... 253 00:21:49,760 --> 00:21:51,160 ..Andrew's, 254 00:21:51,160 --> 00:21:53,600 and this one, more recently captured. 255 00:21:59,880 --> 00:22:02,360 No wonder we know so little about these cats... 256 00:22:05,640 --> 00:22:07,960 ..and now it's a race against time. 257 00:22:09,360 --> 00:22:13,200 Borneo has one of the highest rates of deforestation in the world. 258 00:22:16,160 --> 00:22:18,920 To protect some space for the bay cat, 259 00:22:18,920 --> 00:22:22,360 Andrew wants to find out what kind of forest they need. 260 00:22:25,320 --> 00:22:30,960 He has managed to capture photographs which help shed some light. 261 00:22:37,320 --> 00:22:41,920 In - what is it? - 12-odd years, we've only got something like 60 photos. 262 00:22:42,920 --> 00:22:45,800 They're so rare, they're so hard to come by. 263 00:22:45,800 --> 00:22:50,080 Each photograph of the bay cat is worth its weight in gold. 264 00:22:50,080 --> 00:22:54,280 It helps to piece together the ecology and the conservation needs of these cats. 265 00:22:57,160 --> 00:23:02,360 Much of the forest clearance in Borneo is to make space for palm oil plantations. 266 00:23:02,360 --> 00:23:08,640 While some cats can survive in these plantations, bay cats disappear. 267 00:23:09,840 --> 00:23:12,800 When the forest changes to palm oil, 268 00:23:12,800 --> 00:23:15,160 they no longer seem to use those areas, 269 00:23:15,160 --> 00:23:18,560 so this shows us that palm oil really is one of the greatest threats 270 00:23:18,560 --> 00:23:20,120 to these cats on Borneo. 271 00:23:22,040 --> 00:23:26,880 For the bay cat to survive, some forest must be protected. 272 00:23:30,240 --> 00:23:33,640 Andrew's determined to uncover whatever else he can 273 00:23:33,640 --> 00:23:35,520 about the mysterious bay cat... 274 00:23:36,840 --> 00:23:39,160 ..even if it takes another 12 years. 275 00:23:43,200 --> 00:23:45,320 Camera traps are revolutionising 276 00:23:45,320 --> 00:23:48,480 our understanding of the entire cat family. 277 00:23:54,880 --> 00:23:59,480 Deploying them in the remotest corners of the planet for months at a time 278 00:23:59,480 --> 00:24:05,360 allows a unique insight into the private life of cats. 279 00:24:13,760 --> 00:24:18,640 In China, two cats that wouldn't normally cross paths - 280 00:24:18,640 --> 00:24:24,760 a leopard and a snow leopard - are filmed on the same camera just days apart. 281 00:24:30,040 --> 00:24:36,160 In Costa Rica, a margay fights an angry possum. 282 00:24:49,160 --> 00:24:51,640 And in the dunes of the Western Sahara... 283 00:24:52,920 --> 00:24:58,680 ..camera traps record the first-ever shots of wild sand cat kittens. 284 00:25:08,960 --> 00:25:13,880 One pioneering study has taken the use of camera traps to another level. 285 00:25:21,320 --> 00:25:26,160 Mountain lions, also known as cougars or pumas, 286 00:25:26,160 --> 00:25:30,400 famed for leading lonely, solitary lives. 287 00:25:35,960 --> 00:25:41,080 Camera traps are now challenging what we know about this American icon. 288 00:25:46,720 --> 00:25:48,240 She's here. 289 00:25:50,040 --> 00:25:54,840 It all started with Dr Mark Elbroch's passion for these charismatic cats. 290 00:25:56,720 --> 00:26:01,440 Here she is, running across. Look at the size of the footprint. 291 00:26:05,240 --> 00:26:06,880 I live mountain lions. 292 00:26:06,880 --> 00:26:10,200 I track them, I watch videos of them, 293 00:26:10,200 --> 00:26:13,640 I go to sleep at night and I dream about mountain lions. 294 00:26:13,640 --> 00:26:16,080 This guy's a... He's a loose cannon. 295 00:26:16,080 --> 00:26:20,160 This is the part where you try not to get bit. 296 00:26:22,640 --> 00:26:25,080 In the Teton mountains of Wyoming, 297 00:26:25,080 --> 00:26:28,440 Mark and his team want to learn more about mountain lion hunting 298 00:26:28,440 --> 00:26:29,920 and feeding behaviour. 299 00:26:31,440 --> 00:26:37,480 Using GPS collars to track the animals, they identify cat hot spots. 300 00:26:37,480 --> 00:26:39,280 ..Quite a bit, which is good. Yeah. 301 00:26:39,280 --> 00:26:41,640 So we should get in there and set some cameras. 302 00:26:41,640 --> 00:26:42,680 Sounds good. 303 00:27:03,240 --> 00:27:07,200 Mark expected an insight into the solitary life of lone cats... 304 00:27:13,800 --> 00:27:15,120 ..but the more he watched, 305 00:27:15,120 --> 00:27:18,840 the more he began to realise something else was going on. 306 00:27:24,360 --> 00:27:29,360 Here comes a nine-year-old resident female, 307 00:27:29,360 --> 00:27:32,160 and she comes round and she turns 308 00:27:32,160 --> 00:27:34,760 and here comes a six-year-old female. 309 00:27:34,760 --> 00:27:38,560 She's doing mild hissing and, in the beginning we thought, 310 00:27:38,560 --> 00:27:42,280 "Gosh, all that hissing, it's the... the pre-runner to violence, 311 00:27:42,280 --> 00:27:45,000 "it's super aggressive." 312 00:27:45,000 --> 00:27:46,720 No, hissing seems pretty normal, 313 00:27:46,720 --> 00:27:52,560 now that we've seen it over and over and over again. So what happened next? 314 00:27:52,560 --> 00:27:55,800 They spent two days together and this is what they did. 315 00:27:57,720 --> 00:27:58,840 They shared a meal. 316 00:28:00,200 --> 00:28:01,240 It blew me away. 317 00:28:05,320 --> 00:28:07,960 That wasn't his only surprising discovery. 318 00:28:14,000 --> 00:28:19,200 It's thought that males are normally aggressive towards females, 319 00:28:19,200 --> 00:28:25,360 even capable of killing them, but the cameras show that's not true either. 320 00:28:30,080 --> 00:28:35,120 Every time we've seen a male approach a female, outside courtship, 321 00:28:35,120 --> 00:28:38,080 this is exactly what they do - they slink in. 322 00:28:38,080 --> 00:28:41,880 Notice how low he's holding his body to the ground, 323 00:28:41,880 --> 00:28:45,160 his ears are to the side and almost sagging. 324 00:28:45,160 --> 00:28:48,920 They minimise their profile, they try to look smaller. 325 00:28:48,920 --> 00:28:51,000 It is completely non-aggressive. 326 00:28:51,000 --> 00:28:53,720 He clearly just wants to share a meal 327 00:28:53,720 --> 00:28:57,520 and you can see, as he comes in, there's no hissing, there's nothing. 328 00:28:57,520 --> 00:29:01,680 She just watches and it's the kitten that does all the hissing. 329 00:29:01,680 --> 00:29:02,720 HISSES 330 00:29:04,000 --> 00:29:09,680 There they are, massive resident adult male feeding on the carcass... 331 00:29:10,760 --> 00:29:15,400 ..three-month-old kitten and mother falling asleep in the background. 332 00:29:19,320 --> 00:29:21,320 Rather than always being aggressive, 333 00:29:21,320 --> 00:29:24,880 males become positively meek when they want to share a meal. 334 00:29:29,560 --> 00:29:34,760 After analysing 13 years of data and thousands of videos, 335 00:29:34,760 --> 00:29:39,080 Mark has discovered these social interactions follow a pattern. 336 00:29:41,280 --> 00:29:45,080 Mountain lions remember each other 337 00:29:45,080 --> 00:29:48,200 and they're much more likely to share their dinner 338 00:29:48,200 --> 00:29:51,520 with a cat that has been generous with them in the past. 339 00:29:54,840 --> 00:30:00,240 We're beginning to describe a species that has some sort of social system, 340 00:30:00,240 --> 00:30:04,280 that is interacting with a frequency that challenges this idea 341 00:30:04,280 --> 00:30:05,880 that they are solitary animals, 342 00:30:05,880 --> 00:30:08,400 and it's just opening our eyes 343 00:30:08,400 --> 00:30:10,760 and completely turning everything on its head 344 00:30:10,760 --> 00:30:13,520 on what we thought were the social lives of mountain lions. 345 00:30:13,520 --> 00:30:15,360 GROWLS 346 00:30:15,360 --> 00:30:16,440 SNARLS SHARPLY 347 00:30:28,960 --> 00:30:30,960 Cats never fail to surprise us. 348 00:30:33,520 --> 00:30:36,080 Covering 8,000 hectares... 349 00:30:38,520 --> 00:30:41,160 ..and employing 20,000 people... 350 00:30:43,720 --> 00:30:48,160 ..Secunda CTL is the biggest industrial complex in Africa. 351 00:30:55,440 --> 00:30:58,280 An unlikely place for a cat... 352 00:31:10,200 --> 00:31:14,680 ..but ecologist Daan Loock made an amazing discovery here. 353 00:31:16,080 --> 00:31:22,600 It all started with reports of strange creatures prowling the site after dark. 354 00:31:25,640 --> 00:31:28,360 There's...there's some eyes there. 355 00:31:30,560 --> 00:31:32,600 I just can't make out what it is. 356 00:31:33,640 --> 00:31:34,880 Hopefully, it crosses here 357 00:31:34,880 --> 00:31:36,680 but I don't think so. 358 00:31:36,680 --> 00:31:40,960 There's a lot of thickets just to our left-hand side. 359 00:31:40,960 --> 00:31:42,880 I think it will... There it is! 360 00:31:42,880 --> 00:31:44,880 Just in front of us! There it is! 361 00:31:46,320 --> 00:31:48,200 Oh, that's very special. HE LAUGHS 362 00:31:51,000 --> 00:31:53,880 The strange creature is a serval. 363 00:31:54,880 --> 00:31:57,200 That's something you won't see every day. 364 00:31:58,200 --> 00:32:01,160 You know, these elusive cats are so difficult to see 365 00:32:01,160 --> 00:32:04,200 and we're so privileged to see this. 366 00:32:04,200 --> 00:32:07,960 There it goes. I'm very excited, I must say. 367 00:32:13,200 --> 00:32:15,920 Having covered the site in camera traps, 368 00:32:15,920 --> 00:32:20,040 to Daan's surprise, these cats were popping up everywhere. 369 00:32:30,360 --> 00:32:36,600 The average serval population is 10 to 15 animals per 100 square kilometres. 370 00:32:36,600 --> 00:32:40,960 Our serval population is 76 animals per 100 square kilometres. 371 00:32:40,960 --> 00:32:44,440 That's phenomenal. It's very, very high. 372 00:32:48,320 --> 00:32:51,640 That's six times more than the most pristine wilderness. 373 00:32:56,480 --> 00:33:02,480 Servals are not merely surviving here - this is the densest population known. 374 00:33:04,000 --> 00:33:07,080 Well, the next step after discovering this population 375 00:33:07,080 --> 00:33:11,360 was the need to understand what's so special about this place. 376 00:33:11,360 --> 00:33:13,800 Why are there so many serval here? 377 00:33:17,240 --> 00:33:19,720 Servals are found across Africa 378 00:33:19,720 --> 00:33:22,680 and specialise in hunting rodents and small birds. 379 00:33:27,480 --> 00:33:33,600 They have the biggest ears of any cat to help pinpoint their prey. 380 00:33:33,600 --> 00:33:35,360 RUSTLES, BUZZING 381 00:33:40,360 --> 00:33:45,080 And with spring-like legs, they pounce over three metres. 382 00:33:50,480 --> 00:33:55,520 They're normally found in much lower numbers and need large territories. 383 00:33:56,800 --> 00:34:00,280 Daan set out to discover why there are so many here. 384 00:34:02,840 --> 00:34:07,760 A specialist team of vets carefully capture and anaesthetise a male. 385 00:34:09,400 --> 00:34:15,080 Ya, I must say it's very nice. You know, we've captured about 30, 30 to 40 animals 386 00:34:15,080 --> 00:34:19,040 and it's every time very exciting to see them up close. 387 00:34:19,040 --> 00:34:24,920 It's a unique opportunity to learn as much as possible about such a rarely seen cat. 388 00:34:28,320 --> 00:34:29,600 What's the weight here, Mike? 389 00:34:29,600 --> 00:34:31,320 13.88, so he's... Spot-on. 390 00:34:31,320 --> 00:34:34,000 ..he's about spot-on, yeah, for a big male. 391 00:34:35,400 --> 00:34:39,880 Each serval is fitted with a collar, allowing Daan to track their movements. 392 00:34:43,560 --> 00:34:46,560 It's helping him build up a picture of the cats' lives. 393 00:34:51,440 --> 00:34:54,160 This map is a map of the total study area 394 00:34:54,160 --> 00:34:56,960 and each of these dots indicates a GPS position 395 00:34:56,960 --> 00:34:59,680 of some of the serval that's been collared in the past. 396 00:34:59,680 --> 00:35:03,640 This just goes to show how many serval are on site. 397 00:35:05,520 --> 00:35:10,320 Most importantly, Daan's map reveals the servals are concentrated 398 00:35:10,320 --> 00:35:13,280 in particular areas around water. 399 00:35:17,080 --> 00:35:19,960 Ponds and streams used to cool the heavy industry 400 00:35:19,960 --> 00:35:22,560 create the perfect habitat for rodents... 401 00:35:27,600 --> 00:35:30,480 ..abundant food for the servals. 402 00:35:34,280 --> 00:35:37,800 Another reason for their success is the lack of other big predators here. 403 00:35:39,160 --> 00:35:42,600 You know, normally, the main causes of death of serval 404 00:35:42,600 --> 00:35:47,600 would be other predators like lion and hyena, perhaps some leopard also. 405 00:35:47,600 --> 00:35:52,080 On this site, there is no competition, they are the apex predators. 406 00:36:05,160 --> 00:36:11,680 As apex predators with no competition, the servals have run riot. 407 00:36:28,040 --> 00:36:32,360 All across the planet, cats are adapting to urban habitats. 408 00:36:38,960 --> 00:36:45,120 In response, people often need to learn how to live alongside cats. 409 00:36:51,000 --> 00:36:54,400 Mumbai, India... 410 00:36:56,600 --> 00:37:01,560 ..one of the world's largest cities, home to over 20 million people. 411 00:37:25,760 --> 00:37:28,080 Mumbai is also home... 412 00:37:29,480 --> 00:37:33,240 ..to the world's highest density of leopards. 413 00:37:36,360 --> 00:37:40,120 In the dead of night, they creep into the city from the surrounding forests. 414 00:37:47,640 --> 00:37:49,560 Krishna Tiwari grew up in Mumbai. 415 00:37:56,200 --> 00:38:01,160 He's now dedicated his life to studying the city's urban leopards. 416 00:38:01,160 --> 00:38:03,840 CONVERSATION IN OWN LANGUAGE 417 00:38:03,840 --> 00:38:06,080 He saw a leopard the day before yesterday 418 00:38:06,080 --> 00:38:11,560 and, when the leopard saw him, he just ran away to the other side of the wall. 419 00:38:16,080 --> 00:38:18,840 The story is the same all across the city. 420 00:38:20,320 --> 00:38:22,720 CONVERSATION IN OWN LANGUAGE 421 00:38:22,720 --> 00:38:25,480 People encounter leopards on a regular basis. 422 00:38:28,200 --> 00:38:33,160 She came out at around 8.30 to wash clothes here and, when she put up a torch, 423 00:38:33,160 --> 00:38:36,600 she saw a leopard sitting on the rocks and as soon as, you know, 424 00:38:36,600 --> 00:38:39,880 there was light on the leopard, he just got up, and she was so afraid 425 00:38:39,880 --> 00:38:42,720 that, you know, she came back to the house and called her husband. 426 00:38:42,720 --> 00:38:47,920 The outcome of these encounters isn't always so peaceful. 427 00:38:50,360 --> 00:38:54,800 After all, the leopards are coming into the city to hunt. 428 00:39:04,160 --> 00:39:07,080 Livestock are abundant and unprotected. 429 00:39:27,360 --> 00:39:30,640 Stealth is the leopard's most effective weapon. 430 00:39:37,040 --> 00:39:38,240 SQUEALING 431 00:39:39,760 --> 00:39:40,960 BARKING 432 00:39:42,440 --> 00:39:45,360 Dogs often provide an early warning... 433 00:39:45,360 --> 00:39:47,560 BARKING CONTINUES 434 00:39:52,000 --> 00:39:56,440 ..but drawing attention from a leopard isn't a good idea. 435 00:40:03,520 --> 00:40:06,920 Dogs are also on the menu. 436 00:40:06,920 --> 00:40:07,960 BARKING 437 00:40:09,200 --> 00:40:10,320 SQUEALING 438 00:40:28,280 --> 00:40:29,480 GRUNTS 439 00:40:32,600 --> 00:40:36,080 And, sadly, it doesn't stop there. 440 00:40:41,680 --> 00:40:48,200 From 1990 to 2013, 176 people were attacked by leopards in Mumbai. 441 00:40:56,080 --> 00:40:57,960 GROWLING, BARKING 442 00:41:00,680 --> 00:41:05,320 In just one month during 2004, ten people were killed. 443 00:41:12,440 --> 00:41:14,160 Something had to be done. 444 00:41:16,480 --> 00:41:19,640 Krishna and the authorities took a bold approach. 445 00:41:26,040 --> 00:41:28,120 Pioneering an education programme, 446 00:41:28,120 --> 00:41:32,800 Krishna wanted to teach people how to live safely alongside leopards. 447 00:41:32,800 --> 00:41:34,120 HE SPEAKS OWN LANGUAGE 448 00:41:40,360 --> 00:41:46,840 Simple measures like staying in groups at night, locking up livestock 449 00:41:46,840 --> 00:41:48,960 and not running from leopards 450 00:41:48,960 --> 00:41:51,200 made a huge difference. 451 00:41:51,200 --> 00:41:55,480 20,000 people have attended the meetings. 452 00:41:58,240 --> 00:42:00,520 The awareness programme has been a great success 453 00:42:00,520 --> 00:42:03,640 as the last four years have seen no leopard attacks 454 00:42:03,640 --> 00:42:06,160 and I think it's a good and long-term solution 455 00:42:06,160 --> 00:42:08,640 to reduce the human-leopard conflicts in Mumbai. 456 00:42:13,480 --> 00:42:18,960 Unfortunately, educating the local dogs has proved trickier. 457 00:42:21,320 --> 00:42:26,040 They provide a vital early warning but are still being taken. 458 00:42:29,440 --> 00:42:31,680 HE SPEAKS OWN LANGUAGE 459 00:42:31,680 --> 00:42:34,320 Raj has lost three dogs to leopard attacks. 460 00:42:36,440 --> 00:42:40,840 He then hit on an idea which might help protect his current pet. 461 00:42:53,000 --> 00:42:56,840 He thinks that the dog, the leopard will think that it is also a leopard... 462 00:42:58,080 --> 00:43:02,960 ..even, you know, it's being protected by other dogs, so I think it's a good idea. 463 00:43:04,320 --> 00:43:07,600 The jury's still out on whether this even works... 464 00:43:09,120 --> 00:43:15,760 ..and, anyway, what self-respecting dog wants to be dressed up as a cat? 465 00:43:18,600 --> 00:43:20,920 WHIMPERS He's certainly not convinced. 466 00:43:26,600 --> 00:43:30,120 Krishna's mission to spread tolerance is working... 467 00:43:37,920 --> 00:43:41,360 ..and Mumbai's leopard population is thriving... 468 00:43:43,960 --> 00:43:47,560 ..but it's a rare example of people accepting their presence 469 00:43:47,560 --> 00:43:50,240 and making space for cats. 470 00:43:59,160 --> 00:44:01,920 Elsewhere, it's a very different story. 471 00:44:06,480 --> 00:44:10,400 Nearly half of all wild cats are threatened with extinction. 472 00:44:12,000 --> 00:44:16,800 As top predators, they need a lot of food and space... 473 00:44:21,840 --> 00:44:24,640 ..and, with an ever-growing human population, 474 00:44:24,640 --> 00:44:26,960 competition for that space is rising. 475 00:44:33,280 --> 00:44:38,960 In the last 20 years, leopards have been wiped out from 40% of their range. 476 00:44:52,920 --> 00:44:57,080 Cheetahs have become extinct in 25 countries. 477 00:45:02,480 --> 00:45:08,280 Not even lions are spared. Numbers have fallen by nearly half in two decades. 478 00:45:09,360 --> 00:45:12,800 The king of beasts could go extinct in the wild. 479 00:45:32,440 --> 00:45:38,840 The driving passion people feel for cats is now their greatest hope for survival... 480 00:45:41,320 --> 00:45:42,520 Holy mackerel. YOWLS 481 00:45:50,640 --> 00:45:54,800 ..especially for the animal that's long been the face of cat conservation. 482 00:46:07,240 --> 00:46:12,920 Dr Krithi Karanth's love of tigers started at a very young age. 483 00:46:14,960 --> 00:46:17,400 I first saw a tiger when I was two years old 484 00:46:17,400 --> 00:46:21,000 with my father and my grandfather in Nagarhole National Park. 485 00:46:21,000 --> 00:46:24,360 I was amazed and in awe. 486 00:46:24,360 --> 00:46:28,680 There is nothing like seeing a tiger in the wild. 487 00:46:30,120 --> 00:46:34,080 Years on, and now a world-renowned tiger conservationist, 488 00:46:34,080 --> 00:46:36,200 Krithi's just as enthralled. 489 00:46:46,720 --> 00:46:52,120 There are no words that can really capture the emotion of seeing a tiger. 490 00:46:52,120 --> 00:46:55,280 Every single time I've seen a tiger in the wild, 491 00:46:55,280 --> 00:47:00,040 I've been either left speechless or giggling silly or crying. 492 00:47:00,040 --> 00:47:04,040 I mean, it's a range of emotions, but you never forget. 493 00:47:04,040 --> 00:47:09,080 To me, tigers are truly one of the most spectacular cats on the planet. 494 00:47:13,560 --> 00:47:18,800 But like so many of the cats, survival of the tiger is on a knife edge. 495 00:47:20,800 --> 00:47:23,720 We see images and stories about tigers all the time - 496 00:47:23,720 --> 00:47:29,760 could give us the impression that they're not endangered but they absolutely are. 497 00:47:29,760 --> 00:47:33,320 They're one of the most threatened big cats in the world today. 498 00:47:35,520 --> 00:47:40,960 Over the last century, 95% of wild tigers have vanished. 499 00:47:43,640 --> 00:47:49,080 There are now more tigers in captivity in the United States alone than in the wild. 500 00:48:00,200 --> 00:48:04,640 It is impossible for me to imagine a world without wild tigers... 501 00:48:07,200 --> 00:48:11,560 ..but, if we get complacent, we could see tigers go extinct. 502 00:48:28,160 --> 00:48:29,640 WHISPERS: Sorry. 503 00:48:31,200 --> 00:48:35,160 I couldn't... I couldn't imagine a world without tigers. 504 00:48:47,440 --> 00:48:52,480 Krithi's spent her life raising awareness and funding to save the tiger. 505 00:49:00,280 --> 00:49:03,440 She's set up a project that helps villagers get compensation 506 00:49:03,440 --> 00:49:06,640 when tigers attack their livestock. 507 00:49:06,640 --> 00:49:10,440 It's helping ease some of the conflict with local people. 508 00:49:15,960 --> 00:49:18,640 Here in India, the greatest challenge 509 00:49:18,640 --> 00:49:21,880 is giving tigers the space they so desperately need. 510 00:49:26,360 --> 00:49:29,880 One solution is to help villagers who currently live within the national parks 511 00:49:29,880 --> 00:49:31,040 to relocate. 512 00:49:39,920 --> 00:49:41,400 Krithi is part of a team 513 00:49:41,400 --> 00:49:46,240 that assist those who choose to make a new home beyond the park boundaries. 514 00:49:49,560 --> 00:49:52,800 Once you move people out, the vegetation comes back, 515 00:49:52,800 --> 00:49:56,680 the prey numbers rebound and then tiger numbers come back, 516 00:49:56,680 --> 00:50:01,720 so ecological recovery takes time but I think nature knows how to heal itself. 517 00:50:04,320 --> 00:50:09,640 There's been a lot of time, money and effort but the tide may be turning. 518 00:50:11,920 --> 00:50:14,640 After a long time, we're seeing wild tigers come back, 519 00:50:14,640 --> 00:50:18,720 populations stabilise and recover in many tiger reserves. 520 00:50:18,720 --> 00:50:22,800 It shows that we can change the future for cats 521 00:50:22,800 --> 00:50:25,040 if there is the will to protect them. 522 00:50:40,520 --> 00:50:45,320 Maasai warriors now study and conserve the lions they once hunted. 523 00:50:55,800 --> 00:51:00,200 Huge safe havens are being created for Scottish wildcats, 524 00:51:00,200 --> 00:51:02,640 the UK's only native cat. 525 00:51:06,320 --> 00:51:10,440 Scientists brave freezing conditions... 526 00:51:10,440 --> 00:51:13,280 STATIC CRACKLES It's working. 527 00:51:13,280 --> 00:51:16,040 ..to help the endangered Siberian tiger. 528 00:51:26,440 --> 00:51:28,960 And one pioneering project 529 00:51:28,960 --> 00:51:33,080 is attempting to rescue a cat from the very edge of extinction. 530 00:51:44,320 --> 00:51:48,520 Just a century ago, thousands of Iberian lynx 531 00:51:48,520 --> 00:51:52,400 roamed the ancient woodlands of Spain and Portugal. 532 00:51:59,000 --> 00:52:03,720 A combination of habitat loss, hunting and lack of prey 533 00:52:03,720 --> 00:52:05,800 caused their numbers to collapse. 534 00:52:11,000 --> 00:52:14,480 By 2002, fewer than 100 were left. 535 00:52:19,520 --> 00:52:23,920 The Iberian lynx was declared the rarest cat on the planet. 536 00:52:33,080 --> 00:52:37,440 Today, an international team of scientists and conservationists 537 00:52:37,440 --> 00:52:40,920 are working to bring these cats back from the brink. 538 00:52:47,960 --> 00:52:51,960 The team began an intensive breeding programme 539 00:52:51,960 --> 00:52:55,320 on a scale never attempted before. 540 00:52:58,520 --> 00:53:02,880 Vicky Ascensio is a vet dedicated to the project. 541 00:53:04,680 --> 00:53:07,760 She works at the newest of the breeding centres. 542 00:53:11,440 --> 00:53:16,000 Spread across Spain and Portugal, these multimillion-pound facilities 543 00:53:16,000 --> 00:53:18,880 are built to meet a lynx's every need... 544 00:53:22,800 --> 00:53:26,360 ..to ensure they can produce as many cubs as possible 545 00:53:26,360 --> 00:53:29,680 for release back into the wild. 546 00:53:32,720 --> 00:53:36,960 It's also designed so Vicky can keep a close eye 547 00:53:36,960 --> 00:53:39,600 on each and every precious cub. 548 00:53:40,880 --> 00:53:44,680 In total, we have 116 cameras. 549 00:53:46,760 --> 00:53:50,360 We try to see the animals 24 hours. 550 00:53:50,360 --> 00:53:55,880 This hands-off approach is vital so the cubs never meet a human. 551 00:53:57,320 --> 00:54:00,800 They are all day very quiet, very calm 552 00:54:00,800 --> 00:54:04,080 and they don't see that we are always looking at them. 553 00:54:04,080 --> 00:54:07,840 It's very important for us, especially when we have cubs. 554 00:54:09,360 --> 00:54:14,720 The Iberian lynx has become a species in intensive care. 555 00:54:19,120 --> 00:54:22,600 The breeding centres are just one piece of the jigsaw. 556 00:54:23,920 --> 00:54:27,360 The team are also working hard to improve the natural habitat 557 00:54:27,360 --> 00:54:32,080 so young lynx can be released into ideal conditions. 558 00:54:39,360 --> 00:54:42,800 Today, Vicky is running some crucial health checks. 559 00:54:46,400 --> 00:54:50,880 One-year-old cubs Navio and Noa are scheduled for release. 560 00:54:55,200 --> 00:55:00,200 We are checking that all the animal is healthy 561 00:55:00,200 --> 00:55:02,600 and also we take some samples 562 00:55:02,600 --> 00:55:07,160 to see that he has not any infectious diseases or something like that. 563 00:55:07,160 --> 00:55:12,200 Our goal always is to release the animals. 564 00:55:12,200 --> 00:55:14,400 It's our most important goal. 565 00:55:16,600 --> 00:55:18,680 CONVERSATION IN SPANISH 566 00:55:22,640 --> 00:55:24,440 The cubs are ready. 567 00:55:28,240 --> 00:55:31,880 A release is big news around here. 568 00:55:31,880 --> 00:55:35,480 Crowds gather to catch a glimpse of this iconic Spanish cat. 569 00:55:40,200 --> 00:55:44,880 This is a very special moment for me because it's an animal 570 00:55:44,880 --> 00:55:49,960 that was born in the centre and now you are giving him the freedom. 571 00:55:49,960 --> 00:55:53,760 It's very emotional for us. 572 00:56:02,000 --> 00:56:08,560 Navio and Noa are given their freedom, running wild for the first time. 573 00:56:44,360 --> 00:56:45,800 INAUDIBLE 574 00:56:49,520 --> 00:56:53,680 This ambitious project has become one of the most successful reintroductions 575 00:56:53,680 --> 00:56:59,520 on the planet - nearly 500 cats once again roam these ancient woodlands. 576 00:57:11,320 --> 00:57:17,760 The more we learn about cats, the more they surprise and amaze us. 577 00:57:23,440 --> 00:57:28,640 Only by understanding their needs can we help safeguard their future. 578 00:57:28,640 --> 00:57:29,680 YOWLS 579 00:57:33,160 --> 00:57:38,120 There's a lot of work to do but across the globe 580 00:57:38,120 --> 00:57:43,000 people are putting their heart and soul into finding answers 581 00:57:43,000 --> 00:57:47,720 and making sure the future always has a place... 582 00:57:47,720 --> 00:57:50,120 MEWS ..for the cats... 583 00:57:51,200 --> 00:57:52,480 ..big... 584 00:57:52,480 --> 00:57:54,480 ..and small. 50603

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