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These are the user uploaded subtitles that are being translated: 1 00:00:08,920 --> 00:00:10,280 Cats. 2 00:00:19,080 --> 00:00:20,360 One family... 3 00:00:22,440 --> 00:00:24,920 ..40 different faces. 4 00:00:27,640 --> 00:00:31,160 They captivate us, like no other animal. 5 00:00:35,240 --> 00:00:40,560 But surprisingly little is known about these remarkable predators. 6 00:00:44,960 --> 00:00:46,319 Right now, across the planet, 7 00:00:46,320 --> 00:00:48,959 passionate people are devoting themselves 8 00:00:48,960 --> 00:00:50,839 to learning more about cats... 9 00:00:50,840 --> 00:00:54,759 Oh, here we go, we're downloading collar 7-5-0. 10 00:00:54,760 --> 00:00:59,079 ..going to extraordinary lengths to get closer than ever before... 11 00:00:59,080 --> 00:01:00,799 Holy mackerel. 12 00:01:00,800 --> 00:01:01,999 He's a loose cannon. 13 00:01:02,000 --> 00:01:04,159 ..making new discoveries... 14 00:01:04,160 --> 00:01:06,519 - There you go. - There we go. - Good job, Ginny. 15 00:01:06,520 --> 00:01:11,199 ..that reveal the intimate secrets of their lives. 16 00:01:11,200 --> 00:01:12,799 There it is, just in front of us. 17 00:01:12,800 --> 00:01:15,160 Oh, that's very special. 18 00:01:18,640 --> 00:01:22,159 At a time when all cats face an uncertain future... 19 00:01:22,160 --> 00:01:25,879 If we get complacent, we could see tigers go extinct. 20 00:01:27,680 --> 00:01:31,400 ..this is an amazing age of discovery... 21 00:01:32,880 --> 00:01:34,839 ..that's revolutionising... 22 00:01:34,840 --> 00:01:37,759 - There! - ..how we view the cats. 23 00:02:04,240 --> 00:02:07,560 Cheetahs are the world's fastest land animal. 24 00:02:15,480 --> 00:02:18,920 It's said they can accelerate faster than a Ferrari. 25 00:02:31,520 --> 00:02:35,040 But no-one knows for sure what they're really capable of. 26 00:02:41,440 --> 00:02:47,120 Professor Alan Wilson has spent the last five years trying to find out. 27 00:02:51,000 --> 00:02:55,159 Cheetahs are amazing. They're so much faster than anything else. 28 00:02:55,160 --> 00:02:57,799 We've got an animal that has got four times the acceleration 29 00:02:57,800 --> 00:03:00,439 of Usain Bolt and more than twice the top speed. 30 00:03:00,440 --> 00:03:02,760 How can they not be fascinating to study? 31 00:03:05,200 --> 00:03:10,319 Alan wants to find the cheetahs' top speed when it really counts - 32 00:03:10,320 --> 00:03:11,520 during a hunt. 33 00:03:14,960 --> 00:03:19,639 He's developed hi-tech collars to record the cheetahs' speed, position 34 00:03:19,640 --> 00:03:21,880 and G-force while they're hunting. 35 00:03:26,920 --> 00:03:29,679 The cheetahs soon disappear - 36 00:03:29,680 --> 00:03:32,720 they cover hundreds of miles in search of their prey. 37 00:03:33,840 --> 00:03:38,480 That makes getting any information back from the collars a real challenge. 38 00:03:40,320 --> 00:03:42,079 Alan's solution? 39 00:03:42,080 --> 00:03:46,560 He's built his own plane... from scratch... 40 00:03:47,720 --> 00:03:49,719 ..learnt how to fly it 41 00:03:49,720 --> 00:03:54,640 and then filled it to the brim with the latest technology. 42 00:03:56,800 --> 00:03:58,839 We have a tracking antenna on the wing. 43 00:03:58,840 --> 00:04:02,999 We have a three-dimensional laser scanner. We have a video camera on a gimbal. 44 00:04:03,000 --> 00:04:05,160 That's a missile guidance system. 45 00:04:08,280 --> 00:04:11,880 OK, let's go find some cheetah. 46 00:04:33,440 --> 00:04:37,640 Coming into the air is just such a revolution for wildlife research. 47 00:04:44,920 --> 00:04:47,240 OK, cheetahs on the left wing tip. 48 00:04:51,960 --> 00:04:55,479 The cheetahs' collars record details of their movements 49 00:04:55,480 --> 00:04:58,000 300 times a second. 50 00:05:03,080 --> 00:05:07,760 As the plane flies over, it locks on to each collar and downloads the data. 51 00:05:09,240 --> 00:05:12,560 There we go, we're downloading collar 7-5-0. 52 00:05:13,680 --> 00:05:17,440 Each of those files represents one hunt. 53 00:05:19,000 --> 00:05:21,719 After recording over 500 hunts, 54 00:05:21,720 --> 00:05:26,320 Alan clocked a cheetah's top speed of 58mph. 55 00:05:30,760 --> 00:05:32,200 Impressive. 56 00:05:33,440 --> 00:05:37,159 But what surprised him was that most hunts were much slower, 57 00:05:37,160 --> 00:05:39,760 only half their potential top speed. 58 00:05:42,320 --> 00:05:47,280 It turns out, for a cheetah, hunting is not all about the sprint. 59 00:05:56,400 --> 00:05:59,520 So what are they relying on to catch their dinner? 60 00:06:07,120 --> 00:06:11,120 To investigate, Alan has enlisted three volunteers... 61 00:06:15,880 --> 00:06:18,120 ..and a rag on a string. 62 00:06:21,120 --> 00:06:25,440 These hand-reared cheetah love chasing a moving lure... 63 00:06:28,000 --> 00:06:31,640 ..replicating how cheetahs behave when hunting. 64 00:06:39,360 --> 00:06:41,640 Prey animals don't run in a straight line for long. 65 00:06:44,400 --> 00:06:49,960 To follow their prey, cheetahs must also weave and change direction. 66 00:06:52,640 --> 00:06:55,240 This manoeuvring inevitably slows them down... 67 00:06:57,040 --> 00:07:00,240 ..but it's also where their real strength lies. 68 00:07:09,000 --> 00:07:10,719 The accelerations and decelerations, 69 00:07:10,720 --> 00:07:14,640 the G-forces they're pulling in the turns, are very high. 70 00:07:18,200 --> 00:07:22,320 The force going through their legs would be enough to break a human leg bone. 71 00:07:28,720 --> 00:07:31,319 The lure's just taken the corner and the cheetah's banking, 72 00:07:31,320 --> 00:07:33,479 and see how it's using its tail here, 73 00:07:33,480 --> 00:07:35,679 which is helping control the roll of its body 74 00:07:35,680 --> 00:07:38,639 and helping stabilise it, and it slowed down to turn, 75 00:07:38,640 --> 00:07:41,920 then it's accelerating again out of shot towards the lure. 76 00:07:45,280 --> 00:07:47,039 Rather than speed, 77 00:07:47,040 --> 00:07:49,720 the key to the cheetahs' hunting success... 78 00:07:52,120 --> 00:07:53,480 ..is their agility. 79 00:07:58,480 --> 00:08:01,719 We started believing that cheetahs are the elite sprinter 80 00:08:01,720 --> 00:08:03,839 and that was their main attribute. 81 00:08:03,840 --> 00:08:06,439 What we've seen is that they're gymnasts - 82 00:08:06,440 --> 00:08:10,279 they can accelerate, they can manoeuvre, they can turn. And that is 83 00:08:10,280 --> 00:08:14,920 what they're good at. Almost the speed is a by-product of all that athleticism. 84 00:08:16,400 --> 00:08:18,239 So they are remarkable athletes 85 00:08:18,240 --> 00:08:20,639 but we shouldn't think of them as just a speed merchant, 86 00:08:20,640 --> 00:08:23,120 there's much more to their repertoire than that. 87 00:08:29,640 --> 00:08:32,999 Having challenged our idea of how cheetahs hunt, 88 00:08:33,000 --> 00:08:37,480 Alan's now turning his attention to where they hunt. 89 00:08:41,120 --> 00:08:45,519 It's long been thought that open grassland is their prime habitat 90 00:08:45,520 --> 00:08:48,760 but even that may not be true. 91 00:08:50,160 --> 00:08:54,199 What we're seeing is they're actually even more successful in trees, 92 00:08:54,200 --> 00:08:56,599 in dense scrub and even in farmland. 93 00:08:56,600 --> 00:09:00,239 And this makes sense. 94 00:09:00,240 --> 00:09:04,599 Extraordinary manoeuvrability offers a huge advantage when twisting and turning 95 00:09:04,600 --> 00:09:07,000 through a maze of trees and shrubs. 96 00:09:32,840 --> 00:09:36,640 Here, cheetahs can more than match their prey. 97 00:09:53,560 --> 00:09:55,480 Even with the most familiar cats... 98 00:09:56,520 --> 00:09:58,640 ..there's still so much to discover. 99 00:10:18,720 --> 00:10:19,799 Lions. 100 00:10:22,040 --> 00:10:23,959 Supreme hunters. 101 00:10:23,960 --> 00:10:26,000 The strongest cat. 102 00:10:29,240 --> 00:10:31,920 Could they also be the cleverest big cat? 103 00:10:38,080 --> 00:10:41,039 Dr Natalia Borrego certainly thinks so, 104 00:10:41,040 --> 00:10:44,040 and is on a mission to prove it... 105 00:10:46,440 --> 00:10:50,039 ..although it's not the easiest thing to test in any cat, 106 00:10:50,040 --> 00:10:52,959 let alone a lion. 107 00:10:52,960 --> 00:10:58,400 Her theory is all down to the fact that lions live together in prides. 108 00:11:03,280 --> 00:11:07,479 So, cats are all solitary and effectively live on their own, 109 00:11:07,480 --> 00:11:09,759 except for lions - they live in prides 110 00:11:09,760 --> 00:11:13,199 and are very social. And we think of other social species - 111 00:11:13,200 --> 00:11:16,479 elephants, dolphins, spotted hyenas, chimpanzees - 112 00:11:16,480 --> 00:11:18,719 they're all very intelligent, 113 00:11:18,720 --> 00:11:22,239 so, in theory, lions should be the smartest of the cats. 114 00:11:22,240 --> 00:11:27,279 The idea that social animals are more intelligent is well established 115 00:11:27,280 --> 00:11:30,560 but has never been proved for lions. 116 00:11:38,920 --> 00:11:40,960 Cats are notoriously uncooperative. 117 00:11:42,560 --> 00:11:45,360 What possible IQ test could you set a lion? 118 00:11:47,960 --> 00:11:50,319 Natalia's travelled to South Africa 119 00:11:50,320 --> 00:11:54,040 for the chance to test a slightly unusual pride. 120 00:12:19,000 --> 00:12:23,240 Kevin Richardson has an unconventional approach to working with lions. 121 00:12:28,240 --> 00:12:31,600 For ten years, he's lived alongside these rescued animals... 122 00:12:33,680 --> 00:12:35,480 ..becoming part of the pride. 123 00:12:45,680 --> 00:12:48,320 Kevin can act as a go-between to the lions... 124 00:12:49,440 --> 00:12:53,600 ..giving Natalia a unique chance to run her experiments. 125 00:12:56,240 --> 00:12:59,519 So here looks good. 126 00:12:59,520 --> 00:13:03,159 Natalia has designed a puzzle for the cats to solve. 127 00:13:03,160 --> 00:13:04,719 - Mind your fingers. - Yeah. 128 00:13:04,720 --> 00:13:07,199 The lion must work out how to open a door, 129 00:13:07,200 --> 00:13:10,719 then reach its head inside to get a reward. 130 00:13:10,720 --> 00:13:11,759 Good. 131 00:13:11,760 --> 00:13:13,960 There's nothing like this in nature... 132 00:13:15,240 --> 00:13:19,399 ..so to Ginny, the lion, it's a Rubik's cube. 133 00:13:19,400 --> 00:13:20,599 - And... - Yeah. 134 00:13:20,600 --> 00:13:23,919 - If the lions come, you just pop it down. - I just pop it back down. 135 00:13:23,920 --> 00:13:24,959 Ginny. 136 00:13:24,960 --> 00:13:26,119 Here. 137 00:13:26,120 --> 00:13:27,360 Looka. 138 00:13:29,120 --> 00:13:32,560 First, she must figure out how to pull the door with her paw. 139 00:13:38,040 --> 00:13:39,200 Clever! 140 00:13:43,040 --> 00:13:45,239 Aw, you're so clever. 141 00:13:45,240 --> 00:13:47,879 You are so clever, my silly. Oh, but it slams, eh? 142 00:13:47,880 --> 00:13:50,359 What did it do? I think she's more interested 143 00:13:50,360 --> 00:13:52,479 in the box now than the food. 144 00:13:52,480 --> 00:13:53,759 Here. Here. 145 00:13:53,760 --> 00:13:56,119 Next, she needs to learn to stand back... 146 00:13:56,120 --> 00:13:58,759 - There you go. - ..and allow the door to swing open... 147 00:13:58,760 --> 00:14:00,119 Get your head out the way. 148 00:14:00,120 --> 00:14:02,079 Get your head out the way. 149 00:14:02,080 --> 00:14:03,559 - There we go. - ..before, finally, 150 00:14:03,560 --> 00:14:05,359 - she can reach her head inside. - Well done. 151 00:14:05,360 --> 00:14:07,920 - That's not bad. I mean, that's... - No, that's good. 152 00:14:10,800 --> 00:14:11,839 - Clever. - One more time? 153 00:14:11,840 --> 00:14:13,319 - Yeah. - Two more times? 154 00:14:13,320 --> 00:14:16,239 - I think a couple more times. - Couple more times. 155 00:14:16,240 --> 00:14:18,719 - There, see, she got it. - Ah. 156 00:14:18,720 --> 00:14:21,039 It's taken Ginny 20 minutes to figure out... 157 00:14:21,040 --> 00:14:23,639 - Good job, Ginny. - ..but now she's cracked it. - There we go. 158 00:14:23,640 --> 00:14:25,559 Yeah, she's getting her head out of the way now. 159 00:14:25,560 --> 00:14:29,359 There we go. One more time. OK, OK, cool. 160 00:14:29,360 --> 00:14:30,959 - There you go. - Easy now she's got it. 161 00:14:30,960 --> 00:14:33,040 - Well done. - That deserves a round of applause. 162 00:14:37,080 --> 00:14:39,560 Next comes the crucial part of the test. 163 00:14:40,680 --> 00:14:43,279 Kevin has brought the lions into an enclosure 164 00:14:43,280 --> 00:14:46,480 to allow pride mate Libby to watch Ginny's efforts. 165 00:14:49,400 --> 00:14:52,399 The ability to learn by watching others 166 00:14:52,400 --> 00:14:54,640 is considered a real sign of intelligence. 167 00:14:55,920 --> 00:15:00,639 It would put lions in the company of the brainboxes of the natural world. 168 00:15:00,640 --> 00:15:04,879 Good. Yeah, you slam that door. That's it, stay open. Good girl. 169 00:15:04,880 --> 00:15:07,560 - No, there she goes. - She can see what she's doing. 170 00:15:08,640 --> 00:15:11,759 - Yeah. - Yeah, I think she's got it 171 00:15:11,760 --> 00:15:13,079 and it's time to let Libby out. 172 00:15:13,080 --> 00:15:15,199 If lions can learn from each other, 173 00:15:15,200 --> 00:15:18,879 Libby should solve the puzzle in seconds. 174 00:15:18,880 --> 00:15:20,839 - If not... - Let's see what she does. 175 00:15:20,840 --> 00:15:23,439 ..it's going to take her another 20 minutes. 176 00:15:23,440 --> 00:15:25,160 Now she goes to the right side. 177 00:15:31,760 --> 00:15:33,719 - Oh, wow! - There, I think... I don't think 178 00:15:33,720 --> 00:15:36,039 - you can get any clearer than that. - No, that was very good. 179 00:15:36,040 --> 00:15:37,839 - That was amazing. - Yeah, here we go, my girl. 180 00:15:37,840 --> 00:15:40,079 - Here, here, here, here. - Good job, Libby. 181 00:15:40,080 --> 00:15:44,960 It's the very first time anyone has shown that lions can learn from each other. 182 00:15:47,920 --> 00:15:49,399 She knows that that's the one there. 183 00:15:49,400 --> 00:15:50,800 - Yeah. - Yeah. 184 00:15:51,800 --> 00:15:55,439 Natalia has tested leopards and tigers. 185 00:15:55,440 --> 00:15:58,160 Lions outperform them both. 186 00:16:01,080 --> 00:16:03,839 - It looks like Natalia's right... - Now she doesn't even bother. 187 00:16:03,840 --> 00:16:06,399 ..lions are the smartest big cat. 188 00:16:06,400 --> 00:16:09,519 So the experiments went really well, much better 189 00:16:09,520 --> 00:16:14,760 than expected, and it really did show that lions can learn socially from each other. 190 00:16:18,320 --> 00:16:20,919 Their intelligence and ability to learn from each other 191 00:16:20,920 --> 00:16:25,560 allows lions to hunt like no other cat. 192 00:16:58,640 --> 00:17:00,799 No cat is easy to study. 193 00:17:02,400 --> 00:17:05,400 At least lions are relatively easy to find. 194 00:17:11,440 --> 00:17:13,800 But most cats are so elusive... 195 00:17:16,600 --> 00:17:17,640 ..secretive... 196 00:17:21,240 --> 00:17:23,400 ..and well camouflaged... 197 00:17:26,000 --> 00:17:29,360 ..that they're rarely seen, let alone studied. 198 00:17:32,480 --> 00:17:37,320 Learning more about these cats takes people whose dedication knows no bounds. 199 00:17:44,600 --> 00:17:47,600 Someone like Dr Andrew Hearn. 200 00:17:53,880 --> 00:17:56,759 Deep in the forests of Borneo, 201 00:17:56,760 --> 00:18:00,800 a chance encounter set him off on his life's mission. 202 00:18:03,960 --> 00:18:09,359 I was part of an expedition team to an uncharted area of Indonesian Borneo. 203 00:18:09,360 --> 00:18:13,879 One morning, I went along a trail just to go and sit down and relax 204 00:18:13,880 --> 00:18:15,800 and see what wildlife I could see. 205 00:18:18,440 --> 00:18:20,079 And I was sat there quietly 206 00:18:20,080 --> 00:18:22,959 and a small little red cat walked out of the side 207 00:18:22,960 --> 00:18:25,479 of the forest, walked across the trail, 208 00:18:25,480 --> 00:18:28,159 paused about 20 metres in front of me. 209 00:18:28,160 --> 00:18:33,239 I grabbed my notebook, started to sketch it, but I had no idea what it was. 210 00:18:33,240 --> 00:18:36,239 It was only when I returned back to the camp later that day, 211 00:18:36,240 --> 00:18:37,839 spoke to some of the Indonesian staff 212 00:18:37,840 --> 00:18:40,679 and said, "Do you know this... Do you know this cat?" 213 00:18:40,680 --> 00:18:44,279 So it was only then that I learned that this was this, um, the Borneo bay cat, 214 00:18:44,280 --> 00:18:48,640 and it quickly became apparent that nothing was known about this animal. 215 00:18:50,280 --> 00:18:53,960 The bay cat is one of the world's least known cats... 216 00:18:57,640 --> 00:19:03,280 ..and Andrew has devoted every year since to finding out anything about them. 217 00:19:05,960 --> 00:19:11,960 But the chance of him seeing another one would be like winning the lottery, twice! 218 00:19:27,720 --> 00:19:29,920 So how do you study something you can't see? 219 00:19:34,640 --> 00:19:36,519 Camera traps. 220 00:19:36,520 --> 00:19:41,679 Combining a sensitive motion sensor with a high-resolution camera, 221 00:19:41,680 --> 00:19:45,320 Andrew and his team deploy dozens of these through the forest... 222 00:19:49,840 --> 00:19:54,400 ..and spend months trekking through the jungle checking them. 223 00:19:58,360 --> 00:20:03,160 Back at base, there are thousands of hours of footage to plough through. 224 00:20:08,000 --> 00:20:10,920 Most contain no cats whatsoever... 225 00:20:13,920 --> 00:20:18,479 ..and, when cats do show up, they may not be a bay cat... 226 00:20:18,480 --> 00:20:20,119 but still. 227 00:20:20,120 --> 00:20:23,399 Oh, clouded leopard. Fantastic. 228 00:20:23,400 --> 00:20:27,079 Oh, look at that, having a little yawn, and you can see 229 00:20:27,080 --> 00:20:31,719 how exceptionally long canines these cats have. 230 00:20:31,720 --> 00:20:36,960 In proportion to their skull size, they're the largest of any other cat. 231 00:20:38,000 --> 00:20:41,639 Ooh, so that is a marbled cat. 232 00:20:41,640 --> 00:20:44,719 Now, these guys, I mean, we know nothing about these cats, 233 00:20:44,720 --> 00:20:49,479 other than they probably spend much of their time up in the trees. 234 00:20:49,480 --> 00:20:52,119 So as they walk along, they hold this exceptionally long tail 235 00:20:52,120 --> 00:20:54,359 almost horizontally 236 00:20:54,360 --> 00:20:57,960 and that probably gives them balance while moving through the canopy. 237 00:20:59,120 --> 00:21:02,240 Ah, the leopard cat. 238 00:21:03,280 --> 00:21:06,400 So this is really quite rare for us to record this guy. 239 00:21:09,320 --> 00:21:13,880 After scrolling through countless videos, Andrew finally filmed a bay cat... 240 00:21:19,720 --> 00:21:21,039 ..almost. 241 00:21:21,040 --> 00:21:25,000 So this is the first-ever video of the bay cat in the world. 242 00:21:28,840 --> 00:21:31,959 It's not the finest video, it's not the, er, the most exciting 243 00:21:31,960 --> 00:21:34,279 but to us that was just spectacular. 244 00:21:34,280 --> 00:21:37,479 We were absolutely blown away when this thing 245 00:21:37,480 --> 00:21:39,599 appeared on the camera traps in front of us. 246 00:21:39,600 --> 00:21:42,720 This is the fruit of 12 years' labour... 247 00:21:43,880 --> 00:21:48,760 ..yet to this day only two videos of wild bay cats exist... 248 00:21:50,760 --> 00:21:52,159 ..Andrew's, 249 00:21:52,160 --> 00:21:54,600 and this one, more recently captured. 250 00:22:00,880 --> 00:22:03,360 No wonder we know so little about these cats... 251 00:22:06,640 --> 00:22:08,960 ..and now it's a race against time. 252 00:22:10,360 --> 00:22:14,200 Borneo has one of the highest rates of deforestation in the world. 253 00:22:17,160 --> 00:22:19,919 To protect some space for the bay cat, 254 00:22:19,920 --> 00:22:23,360 Andrew wants to find out what kind of forest they need. 255 00:22:26,320 --> 00:22:31,960 He has managed to capture photographs which help shed some light. 256 00:22:38,320 --> 00:22:42,920 In - what is it? - 12-odd years, we've only got something like 60 photos. 257 00:22:43,920 --> 00:22:46,799 They're so rare, they're so hard to come by. 258 00:22:46,800 --> 00:22:51,079 Each photograph of the bay cat is worth its weight in gold. 259 00:22:51,080 --> 00:22:55,280 It helps to piece together the ecology and the conservation needs of these cats. 260 00:22:58,160 --> 00:23:03,359 Much of the forest clearance in Borneo is to make space for palm oil plantations. 261 00:23:03,360 --> 00:23:09,640 While some cats can survive in these plantations, bay cats disappear. 262 00:23:10,840 --> 00:23:13,799 When the forest changes to palm oil, 263 00:23:13,800 --> 00:23:16,159 they no longer seem to use those areas, 264 00:23:16,160 --> 00:23:19,559 so this shows us that palm oil really is one of the greatest threats 265 00:23:19,560 --> 00:23:21,120 to these cats on Borneo. 266 00:23:23,040 --> 00:23:27,880 For the bay cat to survive, some forest must be protected. 267 00:23:31,240 --> 00:23:34,639 Andrew's determined to uncover whatever else he can 268 00:23:34,640 --> 00:23:36,520 about the mysterious bay cat... 269 00:23:37,840 --> 00:23:40,160 ..even if it takes another 12 years. 270 00:23:44,200 --> 00:23:46,319 Camera traps are revolutionising 271 00:23:46,320 --> 00:23:49,480 our understanding of the entire cat family. 272 00:23:55,880 --> 00:24:00,479 Deploying them in the remotest corners of the planet for months at a time 273 00:24:00,480 --> 00:24:06,360 allows a unique insight into the private life of cats. 274 00:24:14,760 --> 00:24:19,639 In China, two cats that wouldn't normally cross paths - 275 00:24:19,640 --> 00:24:25,760 a leopard and a snow leopard - are filmed on the same camera just days apart. 276 00:24:31,040 --> 00:24:37,160 In Costa Rica, a margay fights an angry possum. 277 00:24:50,160 --> 00:24:52,640 And in the dunes of the Western Sahara... 278 00:24:53,920 --> 00:24:59,680 ..camera traps record the first-ever shots of wild sand cat kittens. 279 00:25:09,960 --> 00:25:14,880 One pioneering study has taken the use of camera traps to another level. 280 00:25:22,320 --> 00:25:27,159 Mountain lions, also known as cougars or pumas, 281 00:25:27,160 --> 00:25:31,400 famed for leading lonely, solitary lives. 282 00:25:36,960 --> 00:25:42,080 Camera traps are now challenging what we know about this American icon. 283 00:25:47,720 --> 00:25:49,240 She's here. 284 00:25:51,040 --> 00:25:55,840 It all started with Dr Mark Elbroch's passion for these charismatic cats. 285 00:25:57,720 --> 00:26:02,440 Here she is, running across. Look at the size of the footprint. 286 00:26:06,240 --> 00:26:07,879 I live mountain lions. 287 00:26:07,880 --> 00:26:11,199 I track them, I watch videos of them, 288 00:26:11,200 --> 00:26:14,639 I go to sleep at night and I dream about mountain lions. 289 00:26:14,640 --> 00:26:17,079 This guy's a... He's a loose cannon. 290 00:26:17,080 --> 00:26:21,160 This is the part where you try not to get bit. 291 00:26:23,640 --> 00:26:26,079 In the Teton mountains of Wyoming, 292 00:26:26,080 --> 00:26:29,439 Mark and his team want to learn more about mountain lion hunting 293 00:26:29,440 --> 00:26:30,920 and feeding behaviour. 294 00:26:32,440 --> 00:26:38,479 Using GPS collars to track the animals, they identify cat hot spots. 295 00:26:38,480 --> 00:26:40,279 - ..Quite a bit, which is good. - Yeah. 296 00:26:40,280 --> 00:26:42,639 So we should get in there and set some cameras. 297 00:26:42,640 --> 00:26:43,680 Sounds good. 298 00:27:04,240 --> 00:27:08,200 Mark expected an insight into the solitary life of lone cats... 299 00:27:14,800 --> 00:27:16,119 ..but the more he watched, 300 00:27:16,120 --> 00:27:19,840 the more he began to realise something else was going on. 301 00:27:25,360 --> 00:27:30,359 Here comes a nine-year-old resident female, 302 00:27:30,360 --> 00:27:33,159 and she comes round and she turns 303 00:27:33,160 --> 00:27:35,759 and here comes a six-year-old female. 304 00:27:35,760 --> 00:27:39,559 She's doing mild hissing and, in the beginning we thought, 305 00:27:39,560 --> 00:27:43,279 "Gosh, all that hissing, it's the... the pre-runner to violence, 306 00:27:43,280 --> 00:27:45,999 "it's super aggressive." 307 00:27:46,000 --> 00:27:47,719 No, hissing seems pretty normal, 308 00:27:47,720 --> 00:27:53,559 now that we've seen it over and over and over again. So what happened next? 309 00:27:53,560 --> 00:27:56,800 They spent two days together and this is what they did. 310 00:27:58,720 --> 00:27:59,840 They shared a meal. 311 00:28:01,200 --> 00:28:02,240 It blew me away. 312 00:28:06,320 --> 00:28:08,960 That wasn't his only surprising discovery. 313 00:28:15,000 --> 00:28:20,199 It's thought that males are normally aggressive towards females, 314 00:28:20,200 --> 00:28:26,360 even capable of killing them, but the cameras show that's not true either. 315 00:28:31,080 --> 00:28:36,119 Every time we've seen a male approach a female, outside courtship, 316 00:28:36,120 --> 00:28:39,079 this is exactly what they do - they slink in. 317 00:28:39,080 --> 00:28:42,879 Notice how low he's holding his body to the ground, 318 00:28:42,880 --> 00:28:46,159 his ears are to the side and almost sagging. 319 00:28:46,160 --> 00:28:49,919 They minimise their profile, they try to look smaller. 320 00:28:49,920 --> 00:28:51,999 It is completely non-aggressive. 321 00:28:52,000 --> 00:28:54,719 He clearly just wants to share a meal 322 00:28:54,720 --> 00:28:58,519 and you can see, as he comes in, there's no hissing, there's nothing. 323 00:28:58,520 --> 00:29:02,679 She just watches and it's the kitten that does all the hissing. 324 00:29:05,000 --> 00:29:10,680 There they are, massive resident adult male feeding on the carcass... 325 00:29:11,760 --> 00:29:16,400 ..three-month-old kitten and mother falling asleep in the background. 326 00:29:20,320 --> 00:29:22,319 Rather than always being aggressive, 327 00:29:22,320 --> 00:29:25,880 males become positively meek when they want to share a meal. 328 00:29:30,560 --> 00:29:35,759 After analysing 13 years of data and thousands of videos, 329 00:29:35,760 --> 00:29:40,080 Mark has discovered these social interactions follow a pattern. 330 00:29:42,280 --> 00:29:46,079 Mountain lions remember each other 331 00:29:46,080 --> 00:29:49,199 and they're much more likely to share their dinner 332 00:29:49,200 --> 00:29:52,520 with a cat that has been generous with them in the past. 333 00:29:55,840 --> 00:30:01,239 We're beginning to describe a species that has some sort of social system, 334 00:30:01,240 --> 00:30:05,279 that is interacting with a frequency that challenges this idea 335 00:30:05,280 --> 00:30:06,879 that they are solitary animals, 336 00:30:06,880 --> 00:30:09,399 and it's just opening our eyes 337 00:30:09,400 --> 00:30:11,759 and completely turning everything on its head 338 00:30:11,760 --> 00:30:14,519 on what we thought were the social lives of mountain lions. 339 00:30:29,960 --> 00:30:31,960 Cats never fail to surprise us. 340 00:30:34,520 --> 00:30:37,080 Covering 8,000 hectares... 341 00:30:39,520 --> 00:30:42,160 ..and employing 20,000 people... 342 00:30:44,720 --> 00:30:49,160 ..Secunda CTL is the biggest industrial complex in Africa. 343 00:30:56,440 --> 00:30:59,280 An unlikely place for a cat... 344 00:31:11,200 --> 00:31:15,680 ..but ecologist Daan Loock made an amazing discovery here. 345 00:31:17,080 --> 00:31:23,600 It all started with reports of strange creatures prowling the site after dark. 346 00:31:26,640 --> 00:31:29,360 There's... there's some eyes there. 347 00:31:31,560 --> 00:31:33,600 I just can't make out what it is. 348 00:31:34,640 --> 00:31:35,879 Hopefully, it crosses here 349 00:31:35,880 --> 00:31:37,679 but I don't think so. 350 00:31:37,680 --> 00:31:41,959 There's a lot of thickets just to our left-hand side. 351 00:31:41,960 --> 00:31:43,879 I think it will... There it is! 352 00:31:43,880 --> 00:31:45,880 Just in front of us! There it is! 353 00:31:47,320 --> 00:31:49,200 Oh, that's very special. 354 00:31:52,000 --> 00:31:54,880 The strange creature is a serval. 355 00:31:55,880 --> 00:31:58,200 That's something you won't see every day. 356 00:31:59,200 --> 00:32:02,159 You know, these elusive cats are so difficult to see 357 00:32:02,160 --> 00:32:05,199 and we're so privileged to see this. 358 00:32:05,200 --> 00:32:08,960 There it goes. I'm very excited, I must say. 359 00:32:14,200 --> 00:32:16,919 Having covered the site in camera traps, 360 00:32:16,920 --> 00:32:21,040 to Daan's surprise, these cats were popping up everywhere. 361 00:32:31,360 --> 00:32:37,599 The average serval population is 10 to 15 animals per 100 square kilometres. 362 00:32:37,600 --> 00:32:41,959 Our serval population is 76 animals per 100 square kilometres. 363 00:32:41,960 --> 00:32:45,440 That's phenomenal. It's very, very high. 364 00:32:49,320 --> 00:32:52,640 That's six times more than the most pristine wilderness. 365 00:32:57,480 --> 00:33:03,480 Servals are not merely surviving here - this is the densest population known. 366 00:33:05,000 --> 00:33:08,079 Well, the next step after discovering this population 367 00:33:08,080 --> 00:33:12,359 was the need to understand what's so special about this place. 368 00:33:12,360 --> 00:33:14,800 Why are there so many serval here? 369 00:33:18,240 --> 00:33:20,719 Servals are found across Africa 370 00:33:20,720 --> 00:33:23,680 and specialise in hunting rodents and small birds. 371 00:33:28,480 --> 00:33:34,599 They have the biggest ears of any cat to help pinpoint their prey. 372 00:33:41,360 --> 00:33:46,080 And with spring-like legs, they pounce over three metres. 373 00:33:51,480 --> 00:33:56,520 They're normally found in much lower numbers and need large territories. 374 00:33:57,800 --> 00:34:01,280 Daan set out to discover why there are so many here. 375 00:34:03,840 --> 00:34:08,760 A specialist team of vets carefully capture and anaesthetise a male. 376 00:34:10,400 --> 00:34:16,079 Ya, I must say it's very nice. You know, we've captured about 30, 30 to 40 animals 377 00:34:16,080 --> 00:34:20,039 and it's every time very exciting to see them up close. 378 00:34:20,040 --> 00:34:25,920 It's a unique opportunity to learn as much as possible about such a rarely seen cat. 379 00:34:29,320 --> 00:34:30,599 What's the weight here, Mike? 380 00:34:30,600 --> 00:34:32,319 - 13.88, so he's... - Spot-on. 381 00:34:32,320 --> 00:34:35,000 ..he's about spot-on, yeah, for a big male. 382 00:34:36,400 --> 00:34:40,880 Each serval is fitted with a collar, allowing Daan to track their movements. 383 00:34:44,560 --> 00:34:47,560 It's helping him build up a picture of the cats' lives. 384 00:34:52,440 --> 00:34:55,159 This map is a map of the total study area 385 00:34:55,160 --> 00:34:57,959 and each of these dots indicates a GPS position 386 00:34:57,960 --> 00:35:00,679 of some of the serval that's been collared in the past. 387 00:35:00,680 --> 00:35:04,640 This just goes to show how many serval are on site. 388 00:35:06,520 --> 00:35:11,319 Most importantly, Daan's map reveals the servals are concentrated 389 00:35:11,320 --> 00:35:14,280 in particular areas around water. 390 00:35:18,080 --> 00:35:20,959 Ponds and streams used to cool the heavy industry 391 00:35:20,960 --> 00:35:23,560 create the perfect habitat for rodents... 392 00:35:28,600 --> 00:35:31,480 ..abundant food for the servals. 393 00:35:35,280 --> 00:35:38,800 Another reason for their success is the lack of other big predators here. 394 00:35:40,160 --> 00:35:43,599 You know, normally, the main causes of death of serval 395 00:35:43,600 --> 00:35:48,599 would be other predators like lion and hyena, perhaps some leopard also. 396 00:35:48,600 --> 00:35:53,080 On this site, there is no competition, they are the apex predators. 397 00:36:06,160 --> 00:36:12,680 As apex predators with no competition, the servals have run riot. 398 00:36:29,040 --> 00:36:33,360 All across the planet, cats are adapting to urban habitats. 399 00:36:39,960 --> 00:36:46,120 In response, people often need to learn how to live alongside cats. 400 00:36:52,000 --> 00:36:55,400 Mumbai, India... 401 00:36:57,600 --> 00:37:02,560 ..one of the world's largest cities, home to over 20 million people. 402 00:37:26,760 --> 00:37:29,080 Mumbai is also home... 403 00:37:30,480 --> 00:37:34,240 ..to the world's highest density of leopards. 404 00:37:37,360 --> 00:37:41,120 In the dead of night, they creep into the city from the surrounding forests. 405 00:37:48,640 --> 00:37:50,560 Krishna Tiwari grew up in Mumbai. 406 00:37:57,200 --> 00:38:02,159 He's now dedicated his life to studying the city's urban leopards. 407 00:38:04,840 --> 00:38:07,079 He saw a leopard the day before yesterday 408 00:38:07,080 --> 00:38:12,560 and, when the leopard saw him, he just ran away to the other side of the wall. 409 00:38:17,080 --> 00:38:19,840 The story is the same all across the city. 410 00:38:23,720 --> 00:38:26,480 People encounter leopards on a regular basis. 411 00:38:29,200 --> 00:38:34,159 She came out at around 8.30 to wash clothes here and, when she put up a torch, 412 00:38:34,160 --> 00:38:37,599 she saw a leopard sitting on the rocks and as soon as, you know, 413 00:38:37,600 --> 00:38:40,879 there was light on the leopard, he just got up, and she was so afraid 414 00:38:40,880 --> 00:38:43,719 that, you know, she came back to the house and called her husband. 415 00:38:43,720 --> 00:38:48,920 The outcome of these encounters isn't always so peaceful. 416 00:38:51,360 --> 00:38:55,800 After all, the leopards are coming into the city to hunt. 417 00:39:05,160 --> 00:39:08,080 Livestock are abundant and unprotected. 418 00:39:28,360 --> 00:39:31,640 Stealth is the leopard's most effective weapon. 419 00:39:43,440 --> 00:39:46,359 Dogs often provide an early warning... 420 00:39:53,000 --> 00:39:57,440 ..but drawing attention from a leopard isn't a good idea. 421 00:40:04,520 --> 00:40:07,919 Dogs are also on the menu. 422 00:40:33,600 --> 00:40:37,080 And, sadly, it doesn't stop there. 423 00:40:42,680 --> 00:40:49,200 From 1990 to 2013, 176 people were attacked by leopards in Mumbai. 424 00:41:01,680 --> 00:41:06,320 In just one month during 2004, ten people were killed. 425 00:41:13,440 --> 00:41:15,160 Something had to be done. 426 00:41:17,480 --> 00:41:20,640 Krishna and the authorities took a bold approach. 427 00:41:27,040 --> 00:41:29,119 Pioneering an education programme, 428 00:41:29,120 --> 00:41:33,799 Krishna wanted to teach people how to live safely alongside leopards. 429 00:41:41,360 --> 00:41:47,839 Simple measures like staying in groups at night, locking up livestock 430 00:41:47,840 --> 00:41:49,959 and not running from leopards 431 00:41:49,960 --> 00:41:52,199 made a huge difference. 432 00:41:52,200 --> 00:41:56,480 20,000 people have attended the meetings. 433 00:41:59,240 --> 00:42:01,519 The awareness programme has been a great success 434 00:42:01,520 --> 00:42:04,639 as the last four years have seen no leopard attacks 435 00:42:04,640 --> 00:42:07,159 and I think it's a good and long-term solution 436 00:42:07,160 --> 00:42:09,640 to reduce the human-leopard conflicts in Mumbai. 437 00:42:14,480 --> 00:42:19,960 Unfortunately, educating the local dogs has proved trickier. 438 00:42:22,320 --> 00:42:27,040 They provide a vital early warning but are still being taken. 439 00:42:32,680 --> 00:42:35,320 Raj has lost three dogs to leopard attacks. 440 00:42:37,440 --> 00:42:41,840 He then hit on an idea which might help protect his current pet. 441 00:42:54,000 --> 00:42:57,840 He thinks that the dog, the leopard will think that it is also a leopard... 442 00:42:59,080 --> 00:43:03,960 ..even, you know, it's being protected by other dogs, so I think it's a good idea. 443 00:43:05,320 --> 00:43:08,600 The jury's still out on whether this even works... 444 00:43:10,120 --> 00:43:16,760 ..and, anyway, what self-respecting dog wants to be dressed up as a cat? 445 00:43:19,600 --> 00:43:21,920 WHIMPERS He's certainly not convinced. 446 00:43:27,600 --> 00:43:31,120 Krishna's mission to spread tolerance is working... 447 00:43:38,920 --> 00:43:42,360 ..and Mumbai's leopard population is thriving... 448 00:43:44,960 --> 00:43:48,559 ..but it's a rare example of people accepting their presence 449 00:43:48,560 --> 00:43:51,240 and making space for cats. 450 00:44:00,160 --> 00:44:02,920 Elsewhere, it's a very different story. 451 00:44:07,480 --> 00:44:11,400 Nearly half of all wild cats are threatened with extinction. 452 00:44:13,000 --> 00:44:17,800 As top predators, they need a lot of food and space... 453 00:44:22,840 --> 00:44:25,639 ..and, with an ever-growing human population, 454 00:44:25,640 --> 00:44:27,960 competition for that space is rising. 455 00:44:34,280 --> 00:44:39,960 In the last 20 years, leopards have been wiped out from 40% of their range. 456 00:44:53,920 --> 00:44:58,080 Cheetahs have become extinct in 25 countries. 457 00:45:03,480 --> 00:45:09,280 Not even lions are spared. Numbers have fallen by nearly half in two decades. 458 00:45:10,360 --> 00:45:13,800 The king of beasts could go extinct in the wild. 459 00:45:33,440 --> 00:45:39,840 The driving passion people feel for cats is now their greatest hope for survival... 460 00:45:42,320 --> 00:45:43,520 Holy mackerel. 461 00:45:51,640 --> 00:45:55,800 ..especially for the animal that's long been the face of cat conservation. 462 00:46:08,240 --> 00:46:13,920 Dr Krithi Karanth's love of tigers started at a very young age. 463 00:46:15,960 --> 00:46:18,399 I first saw a tiger when I was two years old 464 00:46:18,400 --> 00:46:21,999 with my father and my grandfather in Nagarhole National Park. 465 00:46:22,000 --> 00:46:25,359 I was amazed and in awe. 466 00:46:25,360 --> 00:46:29,680 There is nothing like seeing a tiger in the wild. 467 00:46:31,120 --> 00:46:35,079 Years on, and now a world-renowned tiger conservationist, 468 00:46:35,080 --> 00:46:37,200 Krithi's just as enthralled. 469 00:46:47,720 --> 00:46:53,119 There are no words that can really capture the emotion of seeing a tiger. 470 00:46:53,120 --> 00:46:56,279 Every single time I've seen a tiger in the wild, 471 00:46:56,280 --> 00:47:01,039 I've been either left speechless or giggling silly or crying. 472 00:47:01,040 --> 00:47:05,039 I mean, it's a range of emotions, but you never forget. 473 00:47:05,040 --> 00:47:10,080 To me, tigers are truly one of the most spectacular cats on the planet. 474 00:47:14,560 --> 00:47:19,800 But like so many of the cats, survival of the tiger is on a knife edge. 475 00:47:21,800 --> 00:47:24,719 We see images and stories about tigers all the time - 476 00:47:24,720 --> 00:47:30,759 could give us the impression that they're not endangered but they absolutely are. 477 00:47:30,760 --> 00:47:34,320 They're one of the most threatened big cats in the world today. 478 00:47:36,520 --> 00:47:41,960 Over the last century, 95% of wild tigers have vanished. 479 00:47:44,640 --> 00:47:50,080 There are now more tigers in captivity in the United States alone than in the wild. 480 00:48:01,200 --> 00:48:05,640 It is impossible for me to imagine a world without wild tigers... 481 00:48:08,200 --> 00:48:12,560 ..but, if we get complacent, we could see tigers go extinct. 482 00:48:29,160 --> 00:48:30,640 Sorry. 483 00:48:32,200 --> 00:48:36,160 I couldn't... I couldn't imagine a world without tigers. 484 00:48:48,440 --> 00:48:53,480 Krithi's spent her life raising awareness and funding to save the tiger. 485 00:49:01,280 --> 00:49:04,439 She's set up a project that helps villagers get compensation 486 00:49:04,440 --> 00:49:07,639 when tigers attack their livestock. 487 00:49:07,640 --> 00:49:11,440 It's helping ease some of the conflict with local people. 488 00:49:16,960 --> 00:49:19,639 Here in India, the greatest challenge 489 00:49:19,640 --> 00:49:22,880 is giving tigers the space they so desperately need. 490 00:49:27,360 --> 00:49:30,879 One solution is to help villagers who currently live within the national parks 491 00:49:30,880 --> 00:49:32,040 to relocate. 492 00:49:40,920 --> 00:49:42,399 Krithi is part of a team 493 00:49:42,400 --> 00:49:47,240 that assist those who choose to make a new home beyond the park boundaries. 494 00:49:50,560 --> 00:49:53,799 Once you move people out, the vegetation comes back, 495 00:49:53,800 --> 00:49:57,679 the prey numbers rebound and then tiger numbers come back, 496 00:49:57,680 --> 00:50:02,720 so ecological recovery takes time but I think nature knows how to heal itself. 497 00:50:05,320 --> 00:50:10,640 There's been a lot of time, money and effort but the tide may be turning. 498 00:50:12,920 --> 00:50:15,639 After a long time, we're seeing wild tigers come back, 499 00:50:15,640 --> 00:50:19,719 populations stabilise and recover in many tiger reserves. 500 00:50:19,720 --> 00:50:23,799 It shows that we can change the future for cats 501 00:50:23,800 --> 00:50:26,040 if there is the will to protect them. 502 00:50:41,520 --> 00:50:46,320 Maasai warriors now study and conserve the lions they once hunted. 503 00:50:56,800 --> 00:51:01,199 Huge safe havens are being created for Scottish wildcats, 504 00:51:01,200 --> 00:51:03,640 the UK's only native cat. 505 00:51:07,320 --> 00:51:11,439 Scientists brave freezing conditions... 506 00:51:11,440 --> 00:51:14,279 It's working. 507 00:51:14,280 --> 00:51:17,040 ..to help the endangered Siberian tiger. 508 00:51:27,440 --> 00:51:29,959 And one pioneering project 509 00:51:29,960 --> 00:51:34,080 is attempting to rescue a cat from the very edge of extinction. 510 00:51:45,320 --> 00:51:49,519 Just a century ago, thousands of Iberian lynx 511 00:51:49,520 --> 00:51:53,400 roamed the ancient woodlands of Spain and Portugal. 512 00:52:00,000 --> 00:52:04,719 A combination of habitat loss, hunting and lack of prey 513 00:52:04,720 --> 00:52:06,800 caused their numbers to collapse. 514 00:52:12,000 --> 00:52:15,480 By 2002, fewer than 100 were left. 515 00:52:20,520 --> 00:52:24,920 The Iberian lynx was declared the rarest cat on the planet. 516 00:52:34,080 --> 00:52:38,439 Today, an international team of scientists and conservationists 517 00:52:38,440 --> 00:52:41,920 are working to bring these cats back from the brink. 518 00:52:48,960 --> 00:52:52,959 The team began an intensive breeding programme 519 00:52:52,960 --> 00:52:56,320 on a scale never attempted before. 520 00:52:59,520 --> 00:53:03,880 Vicky Ascensio is a vet dedicated to the project. 521 00:53:05,680 --> 00:53:08,760 She works at the newest of the breeding centres. 522 00:53:12,440 --> 00:53:16,999 Spread across Spain and Portugal, these multimillion-pound facilities 523 00:53:17,000 --> 00:53:19,880 are built to meet a lynx's every need... 524 00:53:23,800 --> 00:53:27,359 ..to ensure they can produce as many cubs as possible 525 00:53:27,360 --> 00:53:30,680 for release back into the wild. 526 00:53:33,720 --> 00:53:37,959 It's also designed so Vicky can keep a close eye 527 00:53:37,960 --> 00:53:40,600 on each and every precious cub. 528 00:53:41,880 --> 00:53:45,680 In total, we have 116 cameras. 529 00:53:47,760 --> 00:53:51,359 We try to see the animals 24 hours. 530 00:53:51,360 --> 00:53:56,880 This hands-off approach is vital so the cubs never meet a human. 531 00:53:58,320 --> 00:54:01,799 They are all day very quiet, very calm 532 00:54:01,800 --> 00:54:05,079 and they don't see that we are always looking at them. 533 00:54:05,080 --> 00:54:08,840 It's very important for us, especially when we have cubs. 534 00:54:10,360 --> 00:54:15,720 The Iberian lynx has become a species in intensive care. 535 00:54:20,120 --> 00:54:23,600 The breeding centres are just one piece of the jigsaw. 536 00:54:24,920 --> 00:54:28,359 The team are also working hard to improve the natural habitat 537 00:54:28,360 --> 00:54:33,080 so young lynx can be released into ideal conditions. 538 00:54:40,360 --> 00:54:43,800 Today, Vicky is running some crucial health checks. 539 00:54:47,400 --> 00:54:51,880 One-year-old cubs Navio and Noa are scheduled for release. 540 00:54:56,200 --> 00:55:01,199 We are checking that all the animal is healthy 541 00:55:01,200 --> 00:55:03,599 and also we take some samples 542 00:55:03,600 --> 00:55:08,159 to see that he has not any infectious diseases or something like that. 543 00:55:08,160 --> 00:55:13,199 Our goal always is to release the animals. 544 00:55:13,200 --> 00:55:15,400 It's our most important goal. 545 00:55:23,640 --> 00:55:25,440 The cubs are ready. 546 00:55:29,240 --> 00:55:32,879 A release is big news around here. 547 00:55:32,880 --> 00:55:36,480 Crowds gather to catch a glimpse of this iconic Spanish cat. 548 00:55:41,200 --> 00:55:45,879 This is a very special moment for me because it's an animal 549 00:55:45,880 --> 00:55:50,959 that was born in the centre and now you are giving him the freedom. 550 00:55:50,960 --> 00:55:54,760 It's very emotional for us. 551 00:56:03,000 --> 00:56:09,560 Navio and Noa are given their freedom, running wild for the first time. 552 00:56:50,520 --> 00:56:54,679 This ambitious project has become one of the most successful reintroductions 553 00:56:54,680 --> 00:57:00,520 on the planet - nearly 500 cats once again roam these ancient woodlands. 554 00:57:12,320 --> 00:57:18,760 The more we learn about cats, the more they surprise and amaze us. 555 00:57:24,440 --> 00:57:29,639 Only by understanding their needs can we help safeguard their future. 556 00:57:34,160 --> 00:57:39,119 There's a lot of work to do but across the globe 557 00:57:39,120 --> 00:57:43,999 people are putting their heart and soul into finding answers 558 00:57:44,000 --> 00:57:48,719 and making sure the future always has a place... 559 00:57:48,720 --> 00:57:51,120 ..for the cats... 560 00:57:52,200 --> 00:57:53,479 ..big... 561 00:57:53,480 --> 00:57:55,480 ..and small. 49300

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