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These are the user uploaded subtitles that are being translated: 1 00:00:07,200 --> 00:00:08,800 ABRAHAig osmall, 2 00:00:09,000 --> 00:00:12,600 cats have conquered the planet. 3 00:00:12,800 --> 00:00:14,700 Buas aptab as ey are, 4 00:00:23,900 --> 00:00:27,900 RANT If we get complacentbers we could see tigers go extinct. 5 00:00:30,600 --> 00:00:34,550 I codn't imagine a world without tigers. 6 00:00:37,950 --> 00:00:40,700 ABRAHAM: It's a critical time for new research 7 00:00:40,900 --> 00:00:43,200 and cat conservation. 8 00:00:43,400 --> 00:00:44,900 BROCH: Holy mackerel. 9 00:00:45,100 --> 00:00:46,900 He a lse cnon. and cat conservation. 10 00:00:47,100 --> 00:00:50,700 ABHAM:ut tre a success storto btold 11 00:00:59,400 --> 00:01:02,900 This is an age of discovery that's revolutionizing 12 00:01:03,100 --> 00:01:06,900 how we view this amazing, super family. 13 00:01:09,600 --> 00:01:14,700 [ Theme music playing ] 14 00:01:32,300 --> 00:01:35,700 ABRAHAM: Cheahs are e world's stt la anil. 15 00:01:43,100 --> 00:01:47,250 It's said they can accelerate st thaa Feari. 16 00:01:59,600 --> 00:02:04,100 But no one knows for sure what ty'reeallcapae of 17 00:02:09,850 --> 00:02:13,400 Professor Alan Wilson has spent the last five years 18 00:02:13,600 --> 00:02:15,600 trying to find out. 19 00:02:19,100 --> 00:02:20,500 WILSON: Cheetahs are amazing, 20 00:02:20,700 --> 00:02:22,900 they're so much faster than anything else. 21 00:02:23,100 --> 00:02:24,700 We've got an animal that has got four times 22 00:02:24,900 --> 00:02:26,600 the acceleration oUsaiBolt 23 00:02:26,800 --> 00:02:28,400 and more than twice the top speed, 24 00:02:28,600 --> 00:02:31,000 how can they not be fascinating to study. 25 00:02:33,200 --> 00:02:35,900 ABRAHAM: Alan wants to find the cheetah's top speed 26 00:02:36,100 --> 00:02:38,250 when it really counts... 27 00:02:38,450 --> 00:02:42,250 during a hunt. 28 00:02:42,450 --> 00:02:46,700 He's developed high tech collars to record the cheetah's speed, 29 00:02:46,900 --> 00:02:50,200 position, and G force while they're hunting. 30 00:02:54,800 --> 00:02:57,600 The cheetahs soon disappear. 31 00:02:57,800 --> 00:03:00,950 They cover hundreds of miles in search of their prey. 32 00:03:01,150 --> 00:03:03,450 That makes getting any information back 33 00:03:03,650 --> 00:03:06,300 from the collars a real challenge. 34 00:03:08,400 --> 00:03:10,650 Alan's solution? 35 00:03:10,850 --> 00:03:13,150 He's built his own plane -- 36 00:03:13,350 --> 00:03:16,100 from scratch, 37 00:03:16,300 --> 00:03:18,450 learned how to fly it, 38 00:03:18,650 --> 00:03:22,200 and then filled it to the br with the latest technology. 39 00:03:24,700 --> 00:03:26,800 WILS: Weave tracng antea onhe wg. 40 00:03:27,000 --> 00:03:29,000 We have a three-dimensional laser scanner. 41 00:03:29,200 --> 00:03:31,200 Weave videcame a gbal. 42 00:03:31,400 --> 00:03:33,400 That a msile guanceyste 43 00:03:37,200 --> 00:03:40,150 Ok, les goind some cheetah. 44 00:04:01,600 --> 00:04:04,100 Coming into the air is just such a rolution 45 00:04:04,300 --> 00:04:06,300 for wildlife research. 46 00:04:13,000 --> 00:04:15,050 Okay, cheetahs on the left wingtip. 47 00:04:20,300 --> 00:04:22,250 ABRAHA The cheetahs' collars record details 48 00:04:22,450 --> 00:04:26,200 of their movements 300 times a second. 49 00:04:30,200 --> 00:04:32,400 As the plane flies over, 50 00:04:32,600 --> 00:04:37,850 it locks on to each llar and downloads the data. 51 00:04:38,050 --> 00:04:41,900 WILSON: There we go, we're downloading collar 7-5-0. 52 00:04:42,100 --> 00:04:47,000 Each of those fis rees. 53 00:04:54,100 --> 00:04:59,450 Alanlock a cetah's topcording speed of 58 miles an hour. 54 00:04:59,650 --> 00:05:01,300 Impressive. 55 00:05:01,500 --> 00:05:05,400 But what suris himas tt mostuntsere ch swer, 56 00:05:05,600 --> 00:05:09,950 only half their pontial top speed. 57 00:05:10,150 --> 00:05:12,600 It turns out, for a cheetah, 58 00:05:12,800 --> 00:05:15,200 hunting is not all about the sprint. 59 00:05:24,400 --> 00:05:28,000 So, what are they relying on to catch their dinner? 60 00:05:35,100 --> 00:05:38,950 To investigate, Alan has enlisted three volunteers... 61 00:05:39,150 --> 00:05:41,500 [ Cheetah purring ] 62 00:05:44,400 --> 00:05:46,500 And a rag on a string. 63 00:05:49,500 --> 00:05:53,700 These hand-reared cheetahs love chasing a moving lure... 64 00:05:55,900 --> 00:05:59,350 Replicating how cheetahs behave when hunting. 65 00:06:07,300 --> 00:06:10,200 Prey animals don't run in a stight line for long. 66 00:06:12,700 --> 00:06:15,800 To follow their prey, cheetahs must also weave 67 00:06:16,000 --> 00:06:18,000 and change direction. 68 00:06:20,200 --> 00:06:25,200 This maneuvering inevitably slows them down, 69 00:06:25,400 --> 00:06:28,200 but it's also where their real strength lies. 70 00:06:39,300 --> 00:06:42,800 the forc they're pullingtions in the turns are very high. 71 00:06:45,300 --> 00:06:47,550 ABHAM:he fce gng rougtheir legs 72 00:06:47,750 --> 00:06:51,800 would be enough to break a human leg bone. 73 00:06:57,150 --> 00:06:58,400 WILSON: The lure's just taken the corner 74 00:06:58,600 --> 00:06:59,500 and the cheetah's banking 75 00:06:59,700 --> 00:07:01,100 ansee w it using WILSON: The lure's just taken its tail here, 76 00:07:01,300 --> 00:07:03,500 which is helping control the roll of its body 77 00:07:03,700 --> 00:07:06,800 and helping stabilize itann 78 00:07:07,000 --> 00:07:10,300 then it's accelerating again out of shot towards the lure. 79 00:07:13,650 --> 00:07:15,300 ABRAHAM: Rather than speed, 80 00:07:15,500 --> 00:07:19,850 the key to the cheetahs' hunting success 81 00:07:20,050 --> 00:07:21,900 is their agility. 82 00:07:27,000 --> 00:07:28,350 WILSON: We started believing that cheetahs 83 00:07:28,550 --> 00:07:29,550 are the elite sprinter 84 00:07:29,750 --> 00:07:31,850 and atas theimainttrite. 85 00:07:32,050 --> 00:07:34,300 What we've seen is that they're gymnasts, 86 00:07:34,500 --> 00:07:36,300 they can accelerate, they can maneuver, 87 00:07:36,500 --> 00:07:38,900 they can turn, and that is what they're good at, 88 00:07:39,100 --> 00:07:44,500 almost the speed is a by-product of all that athleticism. 89 00:07:44,700 --> 00:07:47,450 So they are remarkable athletes, but we shouldn't think of them 90 00:07:47,650 --> 00:07:49,700 as just a speed merchant, there's much more 91 00:07:51,800 --> 00:07:58,100 to their repertoire than that. 92 00:07:58,300 --> 00:08:01,400 ABRAHAM: Even with the most familiar cats 93 00:08:01,600 --> 00:08:04,250 there's still so much to discover. 94 00:08:04,450 --> 00:08:13,800 ABRAHAM: Even with the most familiar cats 95 00:08:23,300 --> 00:08:26,500 ABRAHAM: Even with the mo[ Lions.]ar cats 96 00:08:26,700 --> 00:08:29,100 Supreme hunters. 97 00:08:29,300 --> 00:08:31,300 The strongest cat. 98 00:08:33,400 --> 00:08:36,800 Could they also be the smartest big cat? 99 00:08:42,700 --> 00:08:46,450 Dr. Natalia Borreg certnly inkso, 100 00:08:46,650 --> 00:08:48,400 and is on a mission to prove it... 101 00:08:51,100 --> 00:08:53,800 Thgh is no theasit thg toest 102 00:08:54,000 --> 00:08:57,300 in any cat, let alone a lion. 103 00:08:57,500 --> 00:08:59,150 Her theory is based on the fact 104 00:08:59,350 --> 00:09:03,200 that lions in any cat, live together in prides. 105 00:09:03,400 --> 00:09:08,100 [ Starts engine ] 106 00:09:08,300 --> 00:09:09,700 RREG So ts are all solitary 107 00:09:09,900 --> 00:09:13,300 and effectively live on their own, except for lions, 108 00:09:13,500 --> 00:09:15,150 they live in prides and are very social 109 00:09:15,350 --> 00:09:17,700 and when we think of other social species -- 110 00:09:17,900 --> 00:09:19,850 elephants, dolphins, spotted hyenas, 111 00:09:20,050 --> 00:09:23,000 chimpanzees -- they're all very intelligent. 112 00:09:23,200 --> 00:09:27,600 So in theory lions should be the smartest of the cats. 113 00:09:27,800 --> 00:09:30,900 ABRAHAM: The idea that social animals are more intelligent 114 00:09:31,100 --> 00:09:32,400 is wl tablhed, 115 00:09:32,600 --> 00:09:35,300 but has never been proved for lions. 116 00:09:35,500 --> 00:09:37,100 [ Low roar ] 117 00:09:43,400 --> 00:09:46,700 Cats are notoriously uncooperative. 118 00:09:46,900 --> 00:09:50,400 What possible IQ test could you give a lion? 119 00:09:52,500 --> 00:09:55,400 Natalia's traveled to South Africa for the chance 120 00:09:55,600 --> 00:09:58,600 to test a slightly unusual pride. 121 00:10:23,550 --> 00:10:26,450 Kevin Richardson has an unconventional approach 122 00:10:26,650 --> 00:10:28,650 to working with lions. 123 00:10:33,050 --> 00:10:35,650 For 10 years he's lived alongside 124 00:10:35,850 --> 00:10:37,700 these rescued animals, 125 00:10:37,900 --> 00:10:40,450 becoming part of the pride. 126 00:10:50,150 --> 00:10:53,900 Ken caact a go-between to the lions, 127 00:10:54,100 --> 00:10:56,400 giving Natalia a unique opportunity 128 00:10:56,600 --> 00:10:58,600 to run her experiments. 129 00:11:01,100 --> 00:11:04,000 BORREGO: So, here looks good. 130 00:11:04,200 --> 00:11:07,600 ABRAHAM: Natalia has designed a puzz f theats sol. 131 00:11:07,800 --> 00:11:09,000 RICHARDSON: Mind your fingers. BORREGO: Yeah. 132 00:11:09,200 --> 00:11:12,100 RAHA The lion must work out how to open a door, 133 00:11:12,300 --> 00:11:15,700 then reach her head inside to get to a reward. 134 00:11:15,900 --> 00:11:17,200 BORREGO: Good. 135 00:11:17,400 --> 00:11:19,250 ABRAHAM: There's nothing likee 136 00:11:19,450 --> 00:11:24,050 tGinnthe on, it a Rik'. 137 00:11:24,250 --> 00:11:26,350 CHARON: d ifhe lions come, you just pop it down. 138 00:11:26,550 --> 00:11:28,450 BORREGO: I just pop it back down. 139 00:11:28,650 --> 00:11:29,900 RICHARDSON: Ginny. [ Whistles ] 140 00:11:30,100 --> 00:11:33,400 Here. Look here. 141 00:11:33,600 --> 00:11:36,600 ABRAHAM: First, she must figure out how to pull the door 142 00:11:36,800 --> 00:11:38,400 with her paw. 143 00:11:43,000 --> 00:11:45,000 BORREGO: Clever! 144 00:11:48,000 --> 00:11:49,900 RICHARDSON: Aw, you're scler. 145 00:11:50,100 --> 00:11:52,500 You are so clever my sweetie, oh, but it slams, eh? 146 00:11:52,700 --> 00:11:53,950 BORREGO: What did it do? 147 00:11:54,150 --> 00:11:56,850 I think she's more interested in the box now than the food. 148 00:11:57,050 --> 00:11:58,500 RICHARDSON: Here. Here. 149 00:11:58,700 --> 00:12:01,700 ABRAHAM: Next she needs to learn to stand back 150 00:12:01,900 --> 00:12:03,600 and allow the door to swing open. 151 00:12:03,800 --> 00:12:04,850 RICHARDS: Get your heads to leout the way. back 152 00:12:05,050 --> 00:12:07,300 Get your head out the way. There we go. 153 00:12:10,700 --> 00:12:15,300 RICHDSON: That's not bady, sheBORREGO: No that's gd.side. 154 00:12:15,500 --> 00:12:16,500 Clever. RICHARDSONe mo tim 155 00:12:16,700 --> 00:12:17,650 RICHDSOBORREGO: Yeah.bady, sRIARDSON: Two more times?ide. 156 00:12:17,850 --> 00:12:19,100 BORREGO: I think a couple more times. 157 00:12:21,500 --> 00:12:23,100 BORRO: RITher seeshe t it more times. 158 00:12:23,300 --> 00:12:26,200 ABRAHAM: It's n Ginny 20inutes to figure it out. 159 00:12:26,400 --> 00:12:28,000 But now she's cracked it. RICHARDSON: There we g 160 00:12:28,200 --> 00:12:29,950 ABRAHAM: It's n Ginny BOEGO: Yeah, she gtinger 2ad o of e way now. it out. 161 00:12:30,150 --> 00:12:31,550 RICHDS: The weo. One re te. 162 00:12:31,750 --> 00:12:34,500 Okokaycool BORREGO: Yeah, there you go. 163 00:12:34,700 --> 00:12:35,500 RICHARDSON: Easy now she's got it. 164 00:12:35,700 --> 00:12:36,800 BORREGO: Well done. 165 00:12:37,000 --> 00:12:38,200 RICHARDSON: Thateserves a und of applause. 166 00:12:41,000 --> 00:12:44,400 ABHAM: Next comes the crucial part of the st. 167 00:12:44,600 --> 00:12:47,200 Kevin has brought the lions into an enclosure 168 00:12:47,400 --> 00:12:51,600 to allow pride mate, Libby, to watch Ginny's efforts. 169 00:12:54,600 --> 00:12:57,000 The ability to learn by watching others 170 00:12:57,200 --> 00:13:00,200 is considered re sig intligee. 171 00:13:00,400 --> 00:13:02,100 It would put lions in the company 172 00:13:02,300 --> 00:13:04,900 of the brightest minds in the natural world. 173 00:13:05,100 --> 00:13:07,400 RICHARDSON: Good. Yeah you slam that door. 174 00:13:07,600 --> 00:13:09,600 That's it, stay open. Good girl. 175 00:13:11,100 --> 00:13:13,900 RICHDSONShe n se BOat s's doing. Yeah. goes. 176 00:13:16,300 --> 00:13:17,450 BORREGO: Yand it's timeshe's got to let Libby o. 177 00:13:17,650 --> 00:13:20,200 ABRAHA If ons can learn from each other, 178 00:13:20,400 --> 00:13:23,950 y shld sve the zzlen seconds. 179 00:13:24,150 --> 00:13:25,600 If not... BORREGO: See what she does 180 00:13:25,800 --> 00:13:27,700 ABRAHAM: It's ing to take her another 20 minutes. 181 00:13:27,900 --> 00:13:29,900 BORREGO: Now she goes to the right side. 182 00:13:32,200 --> 00:13:36,650 [ Both laugh ] 183 00:13:36,850 --> 00:13:38,800 There, I think, I don't think you can get 184 00:13:39,000 --> 00:13:40,800 any clearer than that, that was amazing. 185 00:13:41,000 --> 00:13:42,900 RICHARDSON: Yeah, he wgo my gl, he he, he her 186 00:13:43,100 --> 00:13:45,250 BORREGO: Good job, Libby. 187 00:13:45,450 --> 00:13:48,300 ABRAHAM: It's the very first time anyone has shown 188 00:13:52,600 --> 00:13:56,500 RICHARDSON: She knows that that's the one. 189 00:13:56,700 --> 00:14:00,500 ABRAHAM: Natalia has tested leopards and tigers -- 190 00:14:05,100 --> 00:14:06,900 ons tpformh right... Itooksike i 191 00:14:07,100 --> 00:14:08,500 RICHARDSON: Now she doesn't even bother. 192 00:14:08,700 --> 00:14:11,450 ABRAHAM: Lions are the smartest big cat. 193 00:14:11,650 --> 00:14:13,200 BORREGO: So the experiments went really well, 194 00:14:13,400 --> 00:14:16,300 much better than expected, and it really did show 195 00:14:16,500 --> 00:14:19,300 that lions can learn social fm each other. 196 00:14:23,600 --> 00:14:24,900 ABRAHAM: Their intelligence 197 00:14:25,100 --> 00:14:26,750 and ability to learn from each other 198 00:14:26,950 --> 00:14:30,000 allows lions to hunt like no other cat. 199 00:15:03,250 --> 00:15:06,200 No cat is easy to study, 200 00:15:06,400 --> 00:15:10,350 though at least lions are relatively easy to find. 201 00:15:10,550 --> 00:15:12,200 [ Mews ] 202 00:15:16,900 --> 00:15:21,200 But most cats are so elusive... 203 00:15:21,400 --> 00:15:25,900 secretiv.. 204 00:15:26,100 --> 00:15:30,600 But and well camouflaged...e... 205 00:15:36,200 --> 00:15:39,200 Learning more about these cats lettakes peopleed. 206 00:15:39,400 --> 00:15:42,350 whose dedication knows no bounds. 207 00:15:49,600 --> 00:15:52,100 Someone like Dr. Andrew Hearn. 208 00:16:01,300 --> 00:16:04,900 a chce eounter set him off Deepon his life's mission.neo, 209 00:16:08,500 --> 00:16:10,400 HEARN: I was part of expitioteam 210 00:16:10,600 --> 00:16:13,950 to an uncharted area of Indonesian Borneo. 211 00:16:14,150 --> 00:16:16,700 One morning I went along a trail just to go 212 00:16:16,900 --> 00:16:18,100 and sit down and relax 213 00:16:18,300 --> 00:16:20,300 and see what wildlife I could see. 214 00:16:22,700 --> 00:16:26,550 And I was sat there quietly, and a small little red cat 215 00:16:26,750 --> 00:16:28,900 walked out of the side of the forest, 216 00:16:29,100 --> 00:16:30,200 walked across the trail, 217 00:16:30,400 --> 00:16:33,400 paused about 20 meters in front of me. 218 00:16:33,600 --> 00:16:36,200 I grabbed my notebook, started to sketch it, 219 00:16:36,400 --> 00:16:37,650 but I had no idea what it was. 220 00:16:37,850 --> 00:16:40,500 It was only when I returned back to the camp later that day, 221 00:16:40,700 --> 00:16:42,300 spoke to some of the Indonesian staff and said, 222 00:16:42,500 --> 00:16:44,000 "Do you know this -- do you know this cat?" 223 00:16:44,200 --> 00:16:46,600 So it was only then that I learned that this was this,, 224 00:16:46,800 --> 00:16:50,350 the Borneo Bay cat, and it quickly became apparent 225 00:16:50,550 --> 00:16:54,650 that nothing was known about this animal. 226 00:16:54,850 --> 00:16:58,600 ABRAHAM: The bay cat is one of the world's least known cats... 227 00:17:01,800 --> 00:17:04,900 And Andrew has devoted every year since 228 00:17:05,100 --> 00:17:07,400 to finding out ythi abo the 229 00:17:10,900 --> 00:17:13,000 But the chance of him seeing another one 230 00:17:24,100 --> 00:17:31,700 would be like ## winning the lottery twice.# 231 00:17:31,900 --> 00:17:34,800 So, how do you study something you can't see? 232 00:17:39,100 --> 00:17:40,650 Camera traps. 233 00:17:40,850 --> 00:17:43,050 Coing sensitive motion sensor 234 00:17:43,250 --> 00:17:45,800 th a high resoluti cama, 235 00:17:46,000 --> 00:17:48,600 Andrew and his team deploy dozens of these 236 00:17:48,800 --> 00:17:50,800 through the forest... 237 00:17:53,900 --> 00:17:55,700 and spend months 238 00:17:55,900 --> 00:17:58,150 trekking through the ju cheing em. 239 00:17:58,350 --> 00:18:02,700 and spend months 240 00:18:02,900 --> 00:18:06,000 Back at base therere thounds hou of otag 241 00:18:06,200 --> 00:18:08,200 to plow through. 242 00:18:12,400 --> 00:18:15,350 Most contain no cats whatsoever. 243 00:18:15,550 --> 00:18:17,300 [ Squeing 244 00:18:20,300 --> 00:18:23,750 But entuly, Anew suck. 245 00:18:29,900 --> 00:18:31,250 Almost. 246 00:18:31,450 --> 00:18:34,050 HEARN: So this is the first-ever video of the bay cat 247 00:18:34,250 --> 00:18:36,400 in the world. 248 00:18:38,400 --> 00:18:41,900 It's not the finest video, it's not theost exciti 249 00:18:42,100 --> 00:18:44,900 but to us that w jusspeccula 250 00:18:45,100 --> 00:18:46,450 We were absolutely blown away 251 00:18:46,650 --> 00:18:49,750 when this inappeed o thcame tra in ont us. 252 00:18:49,950 --> 00:18:53,550 ABRAHAM: This is the fruit of 12 years' labor. 253 00:18:53,750 --> 00:19:00,550 Yet to this day, only two vide owild bay catexist: 254 00:19:00,750 --> 00:19:04,650 Andrew's and this one, moreectly ptur. 255 00:19:11,000 --> 00:19:16,000 No wonder we know so little about these cats, 256 00:19:19,900 --> 00:19:22,850 Borneo has one of the highest itrates of deforestation. 257 00:19:23,050 --> 00:19:26,150 in the world. 258 00:19:26,350 --> 00:19:28,800 To protect some space for the bay cat, 259 00:19:29,000 --> 00:19:32,800 Andrew wants to find out what kind of forest they need. 260 00:19:36,400 --> 00:19:39,150 He has managed to capture photographs 261 00:19:39,350 --> 00:19:41,350 which help shed some light. 262 00:19:48,200 --> 00:19:50,300 HEARN:n, wt ist, 12 o yea 263 00:19:50,500 --> 00:19:53,600 we've only got something like 60 photos. 264 00:19:53,800 --> 00:19:56,900 They're so rare, they're so hard come by. 265 00:19:57,100 --> 00:20:00,900 Each photograph of the bay cat we've only got is worth its weight in gold. 266 00:20:01,100 --> 00:20:02,950 Itelpso pie tother the ecology 267 00:20:03,150 --> 00:20:05,900 and the conservation needs of these cats. 268 00:20:08,100 --> 00:20:10,350 ABHAM: Much the deforestation in Borneo 269 00:20:10,550 --> 00:20:13,300 is to make space for palm oil. 270 00:20:13,500 --> 00:20:17,100 While some cats can make it in these plantations, 271 00:20:17,300 --> 00:20:19,300 bay cats disappear. 272 00:20:22,300 --> 00:20:24,250 For the bay cat to survive, 273 00:20:24,450 --> 00:20:29,450 some natural forest must be otecd. 274 00:20:29,650 --> 00:20:31,500 Andrew's determined to uer 275 00:20:31,700 --> 00:20:35,450 whatever else he can about the mysterious bay c, 276 00:20:35,650 --> 00:20:38,800 even if it takes another 12 years. 277 00:20:46,100 --> 00:20:48,100 Came tra are revolutionizing 278 00:20:48,300 --> 00:20:51,300 our understanding of the entire cat family. 279 00:20:54,100 --> 00:20:57,350 Came tra are revolutionizing Deploying them in the remotest corners of the planet 280 00:20:57,550 --> 00:21:01,300 for months at a time is yielding unique insights 281 00:21:01,500 --> 00:21:04,400 to tse vy prate lives. 282 00:21:13,100 --> 00:21:17,350 In Cnatwo ts tt a time woul't nmallcrospathe insights 283 00:21:17,550 --> 00:21:22,400 a leopard and a snow leopard, are filmed by the same camera 284 00:21:22,600 --> 00:21:24,850 just days apart. 285 00:21:30,250 --> 00:21:35,650 Inosta Rica, margay argues with an angry possum. 286 00:21:48,400 --> 00:21:51,200 And in the dunes of the Western Sahara, 287 00:21:51,400 --> 00:21:54,800 camera traps record the first ever shots 288 00:21:55,000 --> 00:21:57,800 of wild sand cat kittens. 289 00:22:03,600 --> 00:22:05,500 [ Sniffing ] 290 00:22:08,100 --> 00:22:11,900 One pieeng sdy h tak the use of camera traps 291 00:22:12,100 --> 00:22:13,850 to another level. 292 00:22:20,800 --> 00:22:25,200 Mountain lions, also known as cougars or pumas. 293 00:22:35,200 --> 00:22:38,000 Camera traps are now challenging what we know 294 00:22:38,200 --> 00:22:40,200 about this American icon. 295 00:22:46,700 --> 00:22:49,100 ELBROCH: She's here. 296 00:22:49,300 --> 00:22:52,850 ABRAHAM: It all arted with Dr. Mark Elbroch's ssio 297 00:22:53,050 --> 00:22:56,300 for these charismatic cats. 298 00:22:56,500 --> 00:22:58,450 ELBROCH: Here she is, running across. 299 00:22:58,650 --> 00:23:00,800 Look at the size of the footprint. 300 00:23:04,100 --> 00:23:05,900 I live mountain lions. 301 00:23:06,100 --> 00:23:10,450 I track them, I watch videos of them, I go to sleep at night 302 00:23:10,650 --> 00:23:13,300 and dream about mountain lions. 303 00:23:13,500 --> 00:23:15,900 This guy's a, he's a loose cannon. 304 00:23:16,100 --> 00:23:18,700 This is the part where you try not to get bit. 305 00:23:21,900 --> 00:23:23,500 ThiABRAHAM:a, In the Teton Mountains 306 00:23:23,700 --> 00:23:25,300 of Wyoming, Mark and his team 307 00:23:25,500 --> 00:23:27,350 want to learn more about mountain lion 308 00:23:27,550 --> 00:23:30,600 hunting and feeding behavior. 309 00:23:30,800 --> 00:23:33,900 Using GPS collars to track the animals, 310 00:23:36,100 --> 00:23:37,350 ELBRH:.quite a bit, they idwhich is good.spots. 311 00:23:37,550 --> 00:23:39,850 No, so we should get in there and set some cameras 312 00:23:40,050 --> 00:23:42,200 -Sounds good. 313 00:24:02,200 --> 00:24:04,100 ## ABHAM:ark pt annsig 314 00:24:04,300 --> 00:24:07,300 into the solitary life of lone cats... 315 00:24:13,100 --> 00:24:15,300 But the more he watched, 316 00:24:15,500 --> 00:24:19,050 thmoree ben toeali mething else was going on. 317 00:24:23,950 --> 00:24:29,200 ELBROCH: Here comes the nine year old resident female, 318 00:24:29,400 --> 00:24:31,000 and she comes round and she turns 319 00:24:31,200 --> 00:24:34,600 and here com a siyearld fale. 320 00:24:34,800 --> 00:24:37,650 She's doing mild hissing and in the beginning we thought, 321 00:24:37,850 --> 00:24:39,100 gosh, all that hissing, 322 00:24:41,400 --> 00:24:44,050 it'sit'superggreive.to violence, 323 00:24:44,250 --> 00:24:46,400 No, hissing seems pretty normal 324 00:24:46,600 --> 00:24:49,650 now at wve sn itver anovernd ov. 325 00:24:49,850 --> 00:24:51,300 So what happened next? 326 00:24:51,500 --> 00:24:54,900 They spent two days together and this is what they did. 327 00:24:56,900 --> 00:24:59,400 They shared a meal. 328 00:24:59,600 --> 00:25:04,300 It blew me away. 329 00:25:04,500 --> 00:25:07,650 ABRAHAM: That wasn't his only surprising discovery. 330 00:25:14,300 --> 00:25:15,800 It's thought that males 331 00:25:16,000 --> 00:25:18,800 are normally aggressive towards females, 332 00:25:19,000 --> 00:25:21,500 even capable of killing them. 333 00:25:21,700 --> 00:25:24,800 But the cameras show that's not true either. 334 00:25:29,100 --> 00:25:31,450 ELBROCH: Every time we've seen a male approach 335 00:25:31,650 --> 00:25:34,200 a female outside courtship 336 00:25:34,400 --> 00:25:37,350 this is exactly what they do, they slink in. 337 00:25:37,550 --> 00:25:40,900 Notice how low he's holding his body to the ground, 338 00:25:41,100 --> 00:25:44,400 his ears are to the side and almost sagging, 339 00:25:44,600 --> 00:25:47,650 they minimize their profile, they try to look smaller, 340 00:25:47,850 --> 00:25:50,300 it is completely non-aggressive, 341 00:25:50,500 --> 00:25:52,750 he clearly just wants to share a meal. 342 00:25:52,950 --> 00:25:56,100 And you can see as he comes in there's no hissing, 343 00:25:56,300 --> 00:25:58,000 there's nothing, she just watches. 344 00:25:58,200 --> 00:26:01,100 And it's the kitten that does all the hissing. 345 00:26:01,300 --> 00:26:03,200 [ Hissing ] 346 00:26:03,400 --> 00:26:04,900 There they are, 347 00:26:05,100 --> 00:26:09,200 massive resident adult male feeding on the carcass, 348 00:26:13,100 --> 00:26:14,800 the moh olkitten llinasle inhe background. 349 00:26:18,300 --> 00:26:20,800 ABRAHAM: Rather than always being aggressive, 350 00:26:21,000 --> 00:26:25,300 males become positively meek when they want to share a meal. 351 00:26:29,000 --> 00:26:34,100 After analyzing 13 years of data and thousands of videos, 352 00:26:40,700 --> 00:26:44,100 Mark has dMountain lionse social interaremember each other,ern. 353 00:26:44,300 --> 00:26:46,800 and they're much more likely to share their dinner 354 00:26:47,000 --> 00:26:50,500 with a cat that has been generous with them in the past. 355 00:26:53,900 --> 00:26:55,550 ELBROCH: Wre binni desibe specs 356 00:26:55,750 --> 00:26:59,100 that has some sort of social system, 357 00:26:59,300 --> 00:27:01,250 that is interacting with a frequency 358 00:27:01,450 --> 00:27:05,500 that challenges this idea that they are solitary animals 359 00:27:05,700 --> 00:27:07,500 d it jusopeng oueyes 360 00:27:07,700 --> 00:27:09,900 ancomptelyurni that challenges this idea thateverything on its headmals 361 00:27:10,100 --> 00:27:13,250 on what we thought were the social lives of mountain lions. 362 00:27:13,450 --> 00:27:15,700 [ Hissing ] 363 00:27:20,300 --> 00:27:23,450 ABRAHAM: Cats never fail to surprise us. 364 00:27:34,300 --> 00:27:37,300 Covering more than 30 square miles 365 00:27:37,500 --> 00:27:42,900 anempling,000eople... 366 00:27:43,100 --> 00:27:47,950 Secunda CTL is the bst indurialompl in Africa. 367 00:28:09,300 --> 00:28:14,500 But ecologist Daan Loock made an amazindioverhere An unlikely place for a cat... 368 00:28:14,700 --> 00:28:16,550 It all started with reports of 369 00:28:16,750 --> 00:28:19,650 strange creatures owli. 370 00:28:29,700 --> 00:28:32,700 just can't make out what it is. 371 00:28:32,900 --> 00:28:36,000 Hopefully it crosses here but I don't think so, 372 00:28:36,200 --> 00:28:40,500 there's a lot of thickets just to our left hand side, 373 00:28:40,700 --> 00:28:43,200 I think it will, there it is just in front of us! 374 00:28:43,400 --> 00:28:45,150 There it is! 375 00:28:45,350 --> 00:28:47,500 Oh, that's very special. 376 00:28:49,900 --> 00:28:53,700 ABRAHAM: The strange creature is a serval. 377 00:29:03,500 --> 00:29:04,650 There it goes. 378 00:29:04,850 --> 00:29:08,700 I'm very excited, I must say. 379 00:29:08,900 --> 00:29:11,550 ABRAHAM: Daan covered the si cama trs, 380 00:29:11,750 --> 00:29:18,850 d tois spris ere were servals everywhere. 381 00:29:19,050 --> 00:29:23,400 He worked out that is s times higr an i e mo priine wilderness. ity 382 00:29:27,400 --> 00:29:30,500 Servals are not merely surviving here... 383 00:29:30,700 --> 00:29:48,800 This is the densest population known. 384 00:29:49,000 --> 00:29:51,350 ABRAHAM: Servals are found suacross Africa.. 385 00:29:51,550 --> 00:29:54,850 and specialize in hunting rodents and small birds. 386 00:29:59,800 --> 00:30:02,500 They have the biggest ears of any cat, 387 00:30:02,700 --> 00:30:04,700 to help pinpoint their prey. 388 00:30:04,900 --> 00:30:06,400 [ Rustling ] 389 00:30:11,700 --> 00:30:16,100 d wi sprg-li leg th pounce over ten feet. 390 00:30:19,800 --> 00:30:23,300 fitting servals with GPS radio collars, 391 00:30:23,500 --> 00:30:27,300 Daan was able to answer why there were so many on site. 392 00:30:47,000 --> 00:30:50,450 ABRAHAM: Most importantly, Daan's map reveals the servals 393 00:30:50,650 --> 00:30:53,750 are concentrated in particular areas -- 394 00:30:53,950 --> 00:30:56,100 around water. 395 00:30:58,800 --> 00:31:02,900 Ponds and streams used to cool the heavy industry 396 00:31:03,100 --> 00:31:05,700 create the perfect habitat for rodents... 397 00:31:08,800 --> 00:31:11,400 Ponds and streams used to cool undant food for the servals. 398 00:31:16,650 --> 00:31:18,900 With no other big predators, 399 00:31:19,100 --> 00:31:21,000 there's no competition. 400 00:31:21,200 --> 00:31:24,700 Servals have become the apex predators... 401 00:31:24,900 --> 00:31:26,900 and run riot. 402 00:31:30,400 --> 00:31:34,100 Now, this site has the highest concentration of servals 403 00:31:34,300 --> 00:31:36,300 anywhere in the world. 404 00:31:39,000 --> 00:31:40,750 All across the planet, 405 00:31:40,950 --> 00:31:43,800 cats are adapting to urban habitats. 406 00:31:50,500 --> 00:31:53,300 In response, people often need to learn 407 00:31:53,500 --> 00:31:55,750 how to live alongside cats. 408 00:31:55,950 --> 00:31:57,650 [ Kitten mewing ] 409 00:32:02,800 --> 00:32:04,800 Mumbai, India. 410 00:32:07,700 --> 00:32:09,900 One of the world's largest cities, 411 00:32:10,100 --> 00:32:12,750 home to over 20 million people. 412 00:32:29,250 --> 00:32:32,300 Mumbai is also home to the world's 413 00:32:32,500 --> 00:32:36,950 highest known density of leopards. 414 00:32:37,150 --> 00:32:39,750 In the dead of night, they creep into the city 415 00:32:39,950 --> 00:32:41,950 from the surrounding forests. 416 00:32:49,250 --> 00:32:52,100 Krishna Tiwari grew up in Mumbai. 417 00:32:52,300 --> 00:32:54,600 [ Conversing in Hindi ] 418 00:32:58,300 --> 00:33:00,200 He's now dedicated his life 419 00:33:00,400 --> 00:33:02,600 to studying the city's urban leopards. 420 00:33:02,800 --> 00:33:05,450 [ Conversing in Hindi ] 421 00:33:05,650 --> 00:33:07,900 TIWARI: He saw a leopard the day before yesterday 422 00:33:08,100 --> 00:33:11,350 and when the leopard saw him he just ran away 423 00:33:11,550 --> 00:33:13,600 thetheride theall. 424 00:33:17,800 --> 00:33:21,050 ABRAHAM: The story is the same l rosshe cy. 425 00:33:21,250 --> 00:33:24,150 [ Conversing in Hindi ] 426 00:33:24,350 --> 00:33:27,600 People encounter leopards on a regular basis. 427 00:33:30,000 --> 00:33:32,400 TIWARI: She came out a: 428 00:33:32,600 --> 00:33:34,700 to wash clothes here and when she put up a torch 429 00:33:34,900 --> 00:33:36,550 she saw a leopard sitting on the rocks 430 00:33:36,750 --> 00:33:37,850 to wash clothes here aanas sn asyou ow,p a torch 431 00:33:38,050 --> 00:33:40,400 there was light on the leopard he just got up, 432 00:33:40,600 --> 00:33:42,300 and she was so afraid that you know she came back 433 00:33:45,300 --> 00:33:46,750 ABRAHAM: The outcome anof these encountersd. 434 00:33:46,950 --> 00:33:49,200 isn't always so peaceful... 435 00:33:49,400 --> 00:33:52,200 [ Goats bleating ] 436 00:33:52,400 --> 00:33:56,350 After all, the leopards are coming into the city to hunt. 437 00:33:56,550 --> 00:34:00,500 [ Grunti ] 438 00:34:05,900 --> 00:34:09,200 Livestock are abundant and unprotected. 439 00:34:29,700 --> 00:34:32,900 Stealth is the leopard's most effective weapon. 440 00:34:44,650 --> 00:34:47,300 Dogs often provide an early warning... 441 00:34:47,500 --> 00:34:53,700 [ Dogs barking ] 442 00:34:53,900 --> 00:34:58,150 But drawing attention from a leopard isn't a good idea. 443 00:34:58,350 --> 00:35:00,800 [ Snorting, grunting ] 444 00:35:05,700 --> 00:35:08,300 gs a alson t men 445 00:35:08,500 --> 00:35:10,900 [ Dog barking ] 446 00:35:11,100 --> 00:35:13,600 [ Squealing ] 447 00:35:17,050 --> 00:35:18,700 [ Squealing ] 448 00:35:20,900 --> 00:35:23,900 [ Grunting ] 449 00:35:38,500 --> 00:35:42,100 And sadly, it doesn't stop there. 450 00:35:42,300 --> 00:35:46,650 In the 23 years from 1990 to 2013, 451 00:35:46,850 --> 00:35:51,900 176 opleere tacked by leopards in Mumbai. 452 00:35:59,000 --> 00:36:02,400 But in just one month during 2004, 453 00:36:02,600 --> 00:36:05,100 10 people were killed. 454 00:36:05,300 --> 00:36:11,500 But in just one month during 2004, 455 00:36:11,700 --> 00:36:15,000 Something had to be done. 456 00:36:15,200 --> 00:36:18,600 Krishna and the authorities took a bold approach. 457 00:36:28,300 --> 00:36:31,400 Pioneerihow to live safelyogram, Krishnalongside leopards.eople 458 00:36:31,600 --> 00:36:34,300 [ eaki Hin ] 459 00:36:39,500 --> 00:36:43,700 Simple measures like staying in groups at night, 460 00:36:43,900 --> 00:36:45,850 locking up livestock, 461 00:36:46,050 --> 00:36:48,000 and not running from leopards 462 00:36:48,200 --> 00:36:51,000 has made a huge difference. 463 00:36:51,200 --> 00:36:55,750 20,000 people have attended the meetings. 464 00:36:55,950 --> 00:36:59,400 TIWARI: The awareness program has been a great success 465 00:36:59,600 --> 00:37:02,600 as the last four years have seen no leopard attacks 466 00:37:02,800 --> 00:37:04,800 and I think it's a good and long-term solution 467 00:37:05,000 --> 00:37:07,700 to reduce the human/leopard conflicts in Mumbai. 468 00:37:13,300 --> 00:37:16,050 ABRAHAM: Unfortunately, educating the local dogs 469 00:37:16,250 --> 00:37:20,100 has proven tckier. 470 00:37:20,300 --> 00:37:22,800 They provide a vital early warning, 471 00:37:23,000 --> 00:37:25,000 but are still being taken. 472 00:37:25,200 --> 00:37:30,550 They provide a vital early warning, 473 00:37:30,750 --> 00:37:35,800 Raj has lost 3 dogs to leopard attacks. 474 00:37:37,600 --> 00:37:40,400 whicmighhelp protect hi. thehit on an idea 475 00:37:52,100 --> 00:37:53,200 TIRI: this that the dog, 476 00:37:53,400 --> 00:37:57,400 the leopard will think that it is also a leopard. 477 00:37:57,600 --> 00:37:59,500 Even you know it's being protected by oth ds 478 00:37:59,700 --> 00:38:03,200 so I think it's a good idea. 479 00:38:03,400 --> 00:38:06,550 ABRAHAM: The jury's still out on whether this even works, 480 00:38:06,750 --> 00:38:10,100 and anyway, what self-respecting dog 481 00:38:10,300 --> 00:38:12,400 wants to be dressed up as a cat? 482 00:38:18,350 --> 00:38:20,500 He's certainly not convinced. 483 00:38:25,400 --> 00:38:28,550 Krishna's mission to spread tolerance is working. 484 00:38:36,600 --> 00:38:39,800 And mb's lpard polati is. 485 00:38:42,900 --> 00:38:46,550 It's a rare example of people accepting their presence 486 00:38:46,750 --> 00:38:49,100 and making space for cats. 487 00:38:58,100 --> 00:39:01,000 Elsewhere, it's a very different story. 488 00:39:05,000 --> 00:39:07,800 Nearly half of all wild cats 489 00:39:08,000 --> 00:39:11,100 are threatened with extinction. 490 00:39:11,300 --> 00:39:20,650 As top predators they need a lot of food and space... 491 00:39:20,850 --> 00:39:23,900 And with an ever-growing human population, 492 00:39:24,100 --> 00:39:26,600 competition for that space is rising. 493 00:39:31,700 --> 00:39:35,550 theast yea, leopds he been wiped out 494 00:39:35,750 --> 00:39:38,200 from 40% of their range. 495 00:39:51,950 --> 00:39:56,250 Cheetahs have become extinct in 25 countries. 496 00:40:01,900 --> 00:40:04,250 Not even lions are spared. 497 00:40:04,450 --> 00:40:08,400 Numbers have fallen by nearly half in two decades. 498 00:40:08,600 --> 00:40:12,200 The King of Beasts could go extinct in the wild. 499 00:40:31,100 --> 00:40:33,650 The driving passion people feel for cats 500 00:40:33,850 --> 00:40:37,100 is now their greatest hope for survival. 501 00:40:40,000 --> 00:40:42,200 ELBROCH: Holy mackerel. 502 00:40:48,800 --> 00:40:50,300 ABRAM: Eeciay for e anal 503 00:40:50,500 --> 00:40:53,350 that's long been the face of cat conatio 504 00:40:53,550 --> 00:40:59,800 ABRAM: Eeciay for e anal 505 00:41:06,300 --> 00:41:09,400 Dr. Krithi Karanth's love of tigers 506 00:41:09,600 --> 00:41:13,200 started at a very young age. 507 00:41:13,400 --> 00:41:14,500 KARANTH: I first saw a tiger 508 00:41:14,700 --> 00:41:17,200 when I was two years old with my faer 509 00:41:17,400 --> 00:41:20,300 and grafather in Nagarhole National Park.r 510 00:41:20,500 --> 00:41:23,800 I was amazed and in awe. 511 00:41:24,000 --> 00:41:28,500 ere notng le seeing a tiger in the wild. 512 00:41:29,800 --> 00:41:32,850 and now a world-renowned tiger conservationist, 513 00:41:33,050 --> 00:41:35,200 Krithi remains enthralled. 514 00:41:45,700 --> 00:41:48,500 KARANTH: There are no words that can really capture 515 00:41:48,700 --> 00:41:51,200 the emotion of seeing a tiger. 516 00:41:51,400 --> 00:41:54,500 Every single time I've seen a tiger in the wild 517 00:41:54,700 --> 00:41:58,850 I've been either left speechless or giggling silly or crying, 518 00:41:59,050 --> 00:42:03,200 I mean it's a rangofmotis, but u ner foet. 519 00:42:03,400 --> 00:42:05,350 To me, tigers are truly one 520 00:42:05,550 --> 00:42:08,200 theost ectalar ca on th. 521 00:42:12,100 --> 00:42:14,300 ABRAM: B likso ny othe cats, 522 00:42:14,500 --> 00:42:17,900 survival of the tiger is on a knife edge. 523 00:42:19,500 --> 00:42:20,900 KARANTH: We see images and stories 524 00:42:23,200 --> 00:42:26,550 coulgives thimprsion th they'd about tigers all the time, 525 00:42:26,750 --> 00:42:28,650 but they absolutely are. 526 00:42:28,850 --> 00:42:30,400 They're one of the most threatened big cs 527 00:42:30,600 --> 00:42:34,100 in the world today. 528 00:42:34,300 --> 00:42:35,800 ABRAHAM: Over the last century, 529 00:42:41,700 --> 00:42:44,450 There are now more tigers hin captivity. 530 00:42:44,650 --> 00:42:46,400 in the United States alone 531 00:42:46,600 --> 00:42:48,150 than in all the wild. 532 00:42:59,600 --> 00:43:01,000 KARANTH: It is impossible for me 533 00:43:01,200 --> 00:43:03,600 to imagine a world without wild tigers. 534 00:43:06,400 --> 00:43:08,300 But if we get complacent 535 00:43:10,900 --> 00:43:20,600 we could see tigers go extinct. 536 00:43:27,600 --> 00:43:29,200 Sorry. 537 00:43:29,400 --> 00:43:31,650 I -- I couldn't, 538 00:43:31,850 --> 00:43:34,400 I uldn imagine a world without tigers. 539 00:43:46,600 --> 00:43:49,000 ABRAHAM: Krithi has spent her life raising awareness 540 00:43:49,200 --> 00:43:51,400 and funding to save the tiger. 541 00:43:59,100 --> 00:44:02,800 She's set up a project that helps villagers get compensaon 542 00:44:03,000 --> 00:44:05,600 whenigers attack their livestock. 543 00:44:09,400 --> 00:44:15,500 It's helping ease some of the conflict with local people. 544 00:44:18,900 --> 00:44:21,500 Here in Ie spe the greatest they so desperately need.s 545 00:44:24,300 --> 00:44:26,450 One solution is to help villagers 546 00:44:26,650 --> 00:44:30,500 who currently live within the National Parks to relocate. 547 00:44:37,950 --> 00:44:40,600 Krithi is part of a team that ais tho 548 00:44:49,200 --> 00:44:50,950 who choose to make a new home beyond the park boundaries., 549 00:44:51,150 --> 00:44:53,700 the vegetation cesack,the e, 550 00:44:53,900 --> 00:44:55,500 and then tiger numbers come back. 551 00:44:55,700 --> 00:44:57,800 So, ecological recovery takes time, 552 00:44:58,000 --> 00:45:00,800 but I think nature knows and then tiger numbers how to heal itself. 553 00:45:03,500 --> 00:45:05,200 ABRAHAM: There's been a lot of time, 554 00:45:05,400 --> 00:45:07,700 money, and effort spent -- 555 00:45:07,900 --> 00:45:10,800 and the tide may be turning. 556 00:45:11,000 --> 00:45:12,050 KARANTH: After a long time 557 00:45:12,250 --> 00:45:13,950 we're seeing wild tigers come back, 558 00:45:14,150 --> 00:45:18,000 population stabilize and recover in many tiger reserves. 559 00:45:18,200 --> 00:45:21,550 ABRAHAM: It shows that we can change the future for cats 560 00:45:21,750 --> 00:45:24,800 if there is the will to protect them. 561 00:45:25,000 --> 00:45:26,150 [ Growling ] 562 00:45:35,450 --> 00:45:39,150 One pioneering project is even attempting to rescue a cat 563 00:45:39,350 --> 00:45:42,400 from the very edge of einctn. 564 00:45:52,200 --> 00:45:56,000 Just a century ago, thousands of Iberian lynx 565 00:45:56,200 --> 00:45:59,250 roamed the ancient woodlands of Spain and Portugal. 566 00:46:06,700 --> 00:46:09,450 But a combination of habitat loss, hunting, 567 00:46:09,650 --> 00:46:13,400 and lack of prey caused their numbers to collapse. 568 00:46:18,300 --> 00:46:22,200 By 2002, fewer than a hundred were left. 569 00:46:26,400 --> 00:46:31,300 The Iberian lynx was declared the rarest cat on the planet. 570 00:46:35,300 --> 00:46:39,200 [ Buzzing ] 571 00:46:39,400 --> 00:46:44,150 Today, an international team of scientists and conservnist 572 00:46:44,350 --> 00:46:48,400 are working to bring these cats back from the brink. 573 00:46:48,600 --> 00:46:51,000 [ Static ] 574 00:46:55,700 --> 00:46:59,400 The teas uertan an iensi breing ogram 575 00:46:59,600 --> 00:47:02,500 on a scale never attempted before. 576 00:47:06,900 --> 00:47:12,300 Vicky Ascensio is a vet dedicated to the project. 577 00:47:17,800 --> 00:47:20,400 ShSpread across Spainst of thand Portugal,nters. 578 00:47:22,600 --> 00:47:26,200 te but toeetmila lynx's. dollar facilities 579 00:47:29,100 --> 00:47:33,050 To ensure they can produce as many cubs as possible 580 00:47:33,250 --> 00:47:35,950 for release back into the wild. 581 00:47:41,000 --> 00:47:45,000 It's also designed so Vicky can keep a close eye on each 582 00:47:45,200 --> 00:47:48,400 and every precious cub. 583 00:47:48,600 --> 00:47:51,950 ASCENSIO: In total we have 116 cameras. 584 00:47:52,150 --> 00:47:54,900 [ Motor whirring ] 585 00:47:55,100 --> 00:47:58,000 We try to see the animals 24 hours. 586 00:47:58,200 --> 00:48:00,450 ABRAHAM: This has-f proa is tal 587 00:48:00,650 --> 00:48:05,350 sohe cs ner me a han. We try to see the animals 24 hours. 588 00:48:05,550 --> 00:48:08,450 ASCENSIOey a allay veryuietveryalm, 589 00:48:08,650 --> 00:48:11,950 and they don't see that we are always looking them. 590 00:48:12,150 --> 00:48:16,650 It's very important for us specially wh we have cubs. 591 00:48:16,850 --> 00:48:19,550 ABRAHAM: The Iberian lynx has become a species 592 00:48:19,750 --> 00:48:21,750 in intensive care. 593 00:48:26,700 --> 00:48:30,900 The breeding centers are just one piece of the puzzle. 594 00:48:31,100 --> 00:48:35,250 The team is also working hard to improve the natural habitat 595 00:48:35,450 --> 00:48:39,550 sooungynx n beelead intodeal conditions. 596 00:48:47,150 --> 00:48:50,800 Today Vicky is running some crucial health checks. 597 00:48:53,500 --> 00:48:58,400 One-year-old cubs Navio and Noa are scheduled for release. 598 00:49:04,150 --> 00:49:07,350 ASCENSIO: We are checkg at l thanim is alth 599 00:49:07,550 --> 00:49:11,700 and also we take some samples to see that he has not 600 00:49:11,900 --> 00:49:15,600 any infections or diseases or something like that. 601 00:49:15,800 --> 00:49:19,900 Our goal always is to release the animals. 602 00:49:20,100 --> 00:49:22,100 It ourost portant goal. 603 00:49:24,200 --> 00:49:26,200 [ Speaking Spanish ] 604 00:49:30,800 --> 00:49:32,900 ABRAHAM: The cubs are ready. 605 00:49:35,500 --> 00:49:38,600 A release is big news around here. 606 00:49:38,800 --> 00:49:43,050 Crowds gather cat a gmpse ofht 607 00:49:48,000 --> 00:49:50,800 ASCENSIO: iss a ry specl mont f me 608 00:49:51,000 --> 00:49:54,400 because it's an animal that was born in the center 609 00:49:54,600 --> 00:49:58,050 d noyou e givi himhe fedom 610 00:49:58,250 --> 00:50:01,300 It's very emotional for us. 611 00:50:09,500 --> 00:50:12,800 ABRAHAM: Navio and Noa are given their freedom, 612 00:50:13,000 --> 00:50:15,450 ruing wild for the first time. 613 00:50:56,300 --> 00:50:58,550 This ambitious project has become 614 00:50:58,750 --> 00:51:02,450 one of the most successful reintroductions on thelat. 615 00:51:02,650 --> 00:51:08,200 Nearly 500 cats once again roam these ancient woodlands. 616 00:51:19,600 --> 00:51:21,350 e more we learn about cats, 617 00:51:21,550 --> 00:51:24,700 thmorehey surprise and amaze us. 618 00:51:30,900 --> 00:51:34,100 On by dersndin eir needs can we help 619 00:51:34,300 --> 00:51:36,300 safeguard their future. 620 00:51:36,500 --> 00:51:39,300 [ Calling ] 621 00:51:41,300 --> 00:51:44,000 There's a lot of work still to do, 622 00:51:44,200 --> 00:51:47,150 but across the globe people are putting heart and soul 623 00:51:47,350 --> 00:51:49,600 into finding answers... There's a lot of work still to do, 624 00:51:56,700 --> 00:51:58,450 and making sure the futurr ca --s has a place 625 00:51:58,650 --> 00:52:01,600 big and small. 626 00:52:40,300 --> 00:52:43,400 To learn more about what you've seen on this "Nature" program, 627 00:52:43,600 --> 00:52:46,500 visit pbs.org. 48534

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