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