All language subtitles for Nature - 37x03 - Super Cats Science and Secrets Eng

af Afrikaans
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian Download
bg Bulgarian
ca Catalan
ceb Cebuano
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
tl Filipino
fi Finnish
fr French
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? 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

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.