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