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