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Four billion years in the making.
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An astonishing planet.
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Home to over eight million different
types of plant and animal.
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And us.
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Eight billion humans.
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When it comes to looking
after our home,
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it would be fair to say
that we dropped the ball.
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But that's not the end of the story.
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Around the world, ingenious
communities, scientists and experts
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are working to protect
the natural world,
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and fix what is broken.
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Hang on, hold the phone!
It might sound bonkers, OK?
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Is he making this up?!
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Oh, man!
So good to see you, brother!
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These people are surprising...
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They are inventive...
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We're using that biology
of the elephants
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to come up with new solutions.
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And above all, they are determined.
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We have crocodiles, in baskets,
on mopeds, travelling in convoy.
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Didn't ever think I would say that!
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There just seems to be life
everywhere.
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We'll be exploring
extraordinary places,
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rich in nature.
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Hot work!
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Six pivotal locations...
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I didn't for a second
think this was going to work!
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Six teams of heroic humans...
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These are the kind of wounds
that, in a human being,
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it would kill you.
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We'll be following
their inspiring stories.
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Brilliant animal, great location,
fantastic scientists.
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Together we hope
to better understand
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the future of our changing planet.
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I've returned to the beautiful
Laamu Atoll in the Maldives.
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This chain of more
than a thousand gem-like islands -
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many rising no more
than a metre above the sea -
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is encircled by gigantic
rings of protective coral.
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A living shield from storm erosion
and rising sea levels.
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Last year I saw for myself
how a thriving coral reef
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can have a huge role to play
in our broader ocean health.
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But as sea temperatures rise,
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experts are predicting that coral
could cease to be reproductive.
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That would mean that, eventually,
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coral reefs
would disappear altogether.
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This would be catastrophic.
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Around the world a billion people
depend on reefs in some way
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for their livelihoods.
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But scientists have made
an extraordinary new discovery...
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..that will bolster
the life of baby coral.
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ECHOING RUMBLES AND POPS
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Most coral animals release
billions of eggs and sperm
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on one night of the year.
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This sexual soup results
in millions of tiny coral larvae
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drifting in the sea.
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They have no brain
and no central nervous system,
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and yet something triggers them
to drop down to the bottom...
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..cling to a rock,
and begin to grow.
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Bioacoustics expert
Professor Steve Simpson,
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along with a pioneering team
at Bristol University,
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think they know what it is.
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They're listening to reefs
and piecing together
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the secret world
of underwater animal chatter.
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This is a real protype, I was up
late last night building this.
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These are some wooden poles
from the building site nearby.
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What this is, effectively,
is a human listening device
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with our ears now spread
a metre and a half apart...
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And what we've got here
are four hydrophones.
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So that will mean we can start
to listen to the reef
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in surround sound,
spreading our sensory system out
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over a much larger area.
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I love a Heath Robinson bit of kit
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that looks like
it was knocked up overnight!
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Which is exactly what it was!
Which is exactly what this is, yeah!
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Jess Hodge, a marine ecologist
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researching coral restoration at
Laamu, guides us to a prime spot.
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As we drag Steve's giant ears
through the reef,
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we're able to listen live to what
Steve calls the "ocean's orchestra".
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RESONANT BURBLING AND CLICKING
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Those noises are the fish, the
shrimp, the lobster, communicating.
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Something we would never
normally be able to hear.
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I didn't think for a second
this was going to work!
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That is the first time I've ever
heard a reef like that.
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That is amazing.
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It's the first time anyone's ever
heard a reef like that, that's why!
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Steve, it's quite familiar to us
to dive on a coral reef
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and appreciate the colours
and how it appears.
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It's quite different to be
thinking about how it sounds.
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As we explore coral reefs,
we tend to look around -
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we see bright, colourful fish,
we see the colourful corals.
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We don't really hear very much -
our ears don't function underwater
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particularly well.
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But with recording equipment
we realise that the soundscape
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is absolutely full of life,
full of information.
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And that's information that all
the animals living on the reef use
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to make decisions,
to be able to understand
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the larger biodiversity of the
habitat that they're living in.
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Steve now has evidence that those
eerie clicks and whistles
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could also be used to communicate
specifically with baby coral.
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And this could be a game-changer.
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This discovery came
not from the wild reef,
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but from a state-of-the-art
laboratory 5,000 miles away,
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in England.
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Deep in the bowels
of Bristol University
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is a Nasa-grade facility designed
for testing rocket parts.
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But now Steve's team are using it
to study baby coral.
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This is precision
baby-sitting like I've never seen.
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Josh Pysanczyn is a coral researcher
working with Steve.
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He's devised an experiment
that reveals for the first time
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that the tiny hairs - or cilia -
on the body of larval coral
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vibrate in response to different
frequencies of sound.
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It's a discovery
that could be harnessed to help
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the world's reefs recover.
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Josh releases 50 free-swimming
baby corals into a tank.
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Smaller than a pin head, but really
starting to explore the tank.
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At first, the larvae randomly
bob about with no sense of purpose
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or direction.
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But obviously, it's complete
silence in there. Yeah. All right?
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Steve has recorded a party playlist
of sounds from a healthy coral reef.
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FIZZLES AND CLICKS
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When the recording
is played into the tank,
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the once aimless corals
start actively swimming,
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spiralling downwards,
looking for a place to set up home.
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Look at that! I mean, that one's
falling out of space!
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It looks like a meteorite,
doesn't it?
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Making a beeline for the bottom!
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Something in that coral reef
playlist triggered the coral larvae
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to begin searching for a place
to settle. But what was it?
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This is the first time we've ever
known what a coral can hear.
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It is, isn't it? Yeah.
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They isolate the individual
sounds of the reef to work out
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which one excited the coral
and got its cilia waving about.
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And they discover something
that could shape the future
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of global reef restoration.
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It's the fish.
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Right?
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So the coral is potentially
hearing...
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Do you hear that? Du-du-du-du!
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Yeah. It's potentially hearing
just the fish out of the whole
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soundscape of the reef.
The coral is listening for the fish.
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Wow. Hear that?
ECHOING POPS
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It's just the fish, isn't it? Yeah.
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POPPING AND CLICKING CONTINUES
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Pwhhhh!
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Not only is this mind-blowing
for Steve and Josh -
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it's big news for me, too.
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Hang on. Hold the phone!
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You're talking about teeny tiny
floating larvae hearing a reef?
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Absolutely.
So these fuzzy tennis balls
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the size of a pin head,
covered in hairs,
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are moving around in the water.
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And those hairs are being moved
by the sound.
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And so as the hairs get moved,
it gives the coral a way
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of detecting its soundscape
and selecting based on
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what it's picking up in those hairs,
exactly which type of habitat
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it wants to settle onto.
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It might sound completely
bonkers, OK?
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Is he making this up?!
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The lab work showed Steve
that corals move not towards
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a noisy reef, but towards
specific fish on that reef.
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The fish - not the waves,
or the lobsters or the shrimp -
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are the trigger for coral
to come in, sink to the bottom,
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and set up home.
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Now, he wants to know
which fish on these reefs
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can help guide baby corals
in from the deep.
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When we listen to the reef,
we can start to actually
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tick off different species,
use it like a register.
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What we're going to try
and do today is two things.
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The first is to go and deploy
these little self-contained
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recording systems, OK?
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So they're programmed today
just to be recording constantly.
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We'll put those down on the reef
and we can leave those.
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They'll just be clocking
the local soundscape.
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But what we don't often know
is which species are making
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which sounds, so we're going to do
a bit of an experiment
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where we set four of these
Hydramoths in a square
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about two metres apart,
and then put a 360-degree camera
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in the middle of it.
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And when we hear a sound,
we can then turn our screen
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to look at which species
was making that sound.
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Many of the reefs around Laamu
have not recovered
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from the last severe warm water
spike seven years ago,
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but Jess has found us
one that's buzzing.
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Steve only developed this setup
a few weeks ago,
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so we're all excited to see
how it works in the field.
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If we can match faces to voices,
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we can ultimately work out
which species of fish the coral
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listens to, and use those voice
recordings to the reef's advantage.
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With all our equipment installed,
we have no choice but to wait
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as the reef whispers and whirs
and sings into our recorders.
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Covering a third of California
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are 33 million acres
of spectacular forests.
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Vast, beautiful, wildernesses.
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But now they're under threat
more than ever before.
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It's now mid-October 2022,
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and a year ago when we were
filming about 250 miles north
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of here, the Windy Fire of 2021
was ripping its way
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through this very spot
in the Sequoia National Forest.
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00:13:01,020 --> 00:13:04,380
The fire was part of the
second-worst fire season
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00:13:04,380 --> 00:13:07,540
that California
has ever experienced,
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00:13:07,540 --> 00:13:10,580
and it burned for over two months,
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and obliterated
almost 100,000 acres -
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including some of the largest
and oldest trees on Earth.
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California's iconic giant sequoias.
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They've evolved to withstand fire,
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00:13:27,500 --> 00:13:30,580
relying on its heat
to germinate their seeds,
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00:13:30,580 --> 00:13:33,100
but even they can no longer cope.
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This is - or was -
Pack Saddle Giant,
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the 38th largest
giant sequoia in the world.
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It could have been
as old as 3,000 years,
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but it was completely
destroyed by the Windy Fire
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00:13:53,060 --> 00:13:57,020
and there's no way it can
recover from a burn like that.
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00:13:59,700 --> 00:14:03,940
Fuelled by a 20-year drought,
over-managed waterways,
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00:14:03,940 --> 00:14:08,980
global warming, and over
a century of fire suppression,
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00:14:08,980 --> 00:14:12,940
the intense infernos of recent
years are responsible
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00:14:12,940 --> 00:14:17,460
for 20% of the world's
giant sequoias going up in smoke.
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00:14:25,620 --> 00:14:28,740
The state government has spent
billions of dollars
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00:14:28,740 --> 00:14:30,380
fighting wildfires.
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00:14:31,460 --> 00:14:34,820
But I'm here to find out how
these out-of-control blazes
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might be prevented
in the first place.
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Bordering
the Sequoia National Forest
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is the Tule River Tribe Reservation.
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00:14:48,540 --> 00:14:51,740
I know this sounds massively
counterintuitive
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in one of the world's
worst hot spots for wildfires,
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00:14:54,660 --> 00:14:57,980
but I'm joining the Tule River Tribe
who are about to set fire
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00:14:57,980 --> 00:15:00,900
to that meadow up the track.
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00:15:03,460 --> 00:15:06,740
Today we're restoring the meadow
and we're restoring the watershed
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00:15:06,740 --> 00:15:08,740
and the land.
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00:15:08,740 --> 00:15:12,020
Ron Goode is an elder
from the Tule's sister tribe,
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00:15:12,020 --> 00:15:13,420
the North Fork Mono.
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00:15:14,540 --> 00:15:19,260
He's an expert in a traditional fire
practice called cultural burning.
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Today's burn aims to clear
the overgrown meadow.
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00:15:26,220 --> 00:15:29,340
We have to take care
of our back yard.
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00:15:29,340 --> 00:15:32,540
When we do that, we're doing
our part to take care
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00:15:32,540 --> 00:15:36,380
of climate change,
but we have to lead by example.
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OK, so everybody's getting
organised now.
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I'm going to get stuck in
and make myself useful.
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Low-level wildfires are a natural
part of many forest ecosystems -
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00:15:55,940 --> 00:16:00,500
and, perhaps surprisingly,
they are a good thing.
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They remove debris
from the forest floor,
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00:16:03,260 --> 00:16:05,540
establish clearings for new growth,
242
00:16:05,540 --> 00:16:09,020
and help to create
nutrient-rich soil.
243
00:16:09,020 --> 00:16:12,740
But for more than a century,
all fires across California
244
00:16:12,740 --> 00:16:16,780
have been suppressed as part
of a state-wide no-fire policy,
245
00:16:16,780 --> 00:16:20,540
originally introduced to protect
commercial timber.
246
00:16:21,700 --> 00:16:25,300
Hot work! Whoooo!
247
00:16:25,300 --> 00:16:29,060
The result is densely packed,
overgrown forests,
248
00:16:29,060 --> 00:16:32,500
with plenty of fuel just
waiting to go up in flames.
249
00:16:32,500 --> 00:16:34,540
A virtual tinderbox.
250
00:16:36,620 --> 00:16:41,100
What you've been doing,
when do you expect it to work?
251
00:16:41,100 --> 00:16:43,500
What century do you expect
it to work?
252
00:16:43,500 --> 00:16:46,580
Because it hasn't
worked for two centuries,
253
00:16:46,580 --> 00:16:49,460
and I don't see where it's going to
work for the next century.
254
00:16:51,140 --> 00:16:55,340
Indigenous peoples in California
have been mimicking nature,
255
00:16:55,340 --> 00:16:59,660
using fire in a controlled way
to holistically manage their lands
256
00:16:59,660 --> 00:17:01,740
for many thousands of years.
257
00:17:03,780 --> 00:17:06,860
If you use fire in the right way,
it's good for life.
258
00:17:06,860 --> 00:17:09,860
But it's the wildfires that get
away, are uncontrollable,
259
00:17:09,860 --> 00:17:12,820
that's bad fires.
The cultural burning is a good fire
260
00:17:12,820 --> 00:17:16,820
because you're using it in ways
that benefit everybody.
261
00:17:16,820 --> 00:17:20,780
Making use of fire and other
forest-management practices
262
00:17:20,780 --> 00:17:23,860
such as thinning,
reduces the fuel load
263
00:17:23,860 --> 00:17:27,140
and restores the health
of the landscape.
264
00:17:27,140 --> 00:17:30,380
The Tule River Tribe hope
this will better protect
265
00:17:30,380 --> 00:17:32,540
their reservation
from today's megafires.
266
00:17:32,540 --> 00:17:35,660
Talk me through the big fires
of the last couple of years
267
00:17:35,660 --> 00:17:37,860
and how they affected
your reservation.
268
00:17:37,860 --> 00:17:40,220
Say last year, the lightning
strike on the Windy Fire,
269
00:17:40,220 --> 00:17:42,180
it started on the reservation,
it was small.
270
00:17:42,180 --> 00:17:44,460
It moved off the reservation,
it come back in.
271
00:17:44,460 --> 00:17:47,380
On all the big fires,
a lot of them gain speed
272
00:17:47,380 --> 00:17:50,420
when they get off the reservation
because you go off the reservation
273
00:17:50,420 --> 00:17:53,460
and they're not allowed to do
any of the work that we do.
274
00:17:56,260 --> 00:17:58,260
But change is on the horizon.
275
00:17:59,580 --> 00:18:01,980
This age-old indigenous practice -
276
00:18:01,980 --> 00:18:07,780
which uses good fire to prevent bad
fire - is finally being recognised.
277
00:18:07,780 --> 00:18:10,500
The state government
has pledged to undertake
278
00:18:10,500 --> 00:18:13,700
nearly half a million acres
of controlled burning a year
279
00:18:13,700 --> 00:18:16,740
across California's forests.
280
00:18:18,940 --> 00:18:21,740
What's more,
for the first time in history,
281
00:18:21,740 --> 00:18:24,580
the Tule River Tribe
are working directly
282
00:18:24,580 --> 00:18:28,100
with the National Forest Service
to incorporate traditional knowledge
283
00:18:28,100 --> 00:18:32,620
into forest management, and this
could build even greater resilience.
284
00:18:38,380 --> 00:18:43,260
It still feels really weird to
be setting fire to this place,
285
00:18:43,260 --> 00:18:47,060
knowing how bad the wildfires
have been in this area,
286
00:18:47,060 --> 00:18:51,260
but this is going to help
restore this meadow.
287
00:18:51,260 --> 00:18:56,940
Fire resistance, fire resilience,
crucially, will also be improved.
288
00:18:59,100 --> 00:19:03,140
But with wildfires here predicted
by some experts to triple
289
00:19:03,140 --> 00:19:06,500
by the end of the century,
cultural and controlled burning
290
00:19:06,500 --> 00:19:08,940
will not be enough.
291
00:19:08,940 --> 00:19:11,900
I want to know if there are other
nature-based solutions
292
00:19:11,900 --> 00:19:16,580
that can help prevent California
from the devastating blazes.
293
00:19:23,540 --> 00:19:27,140
While we wait for our recorders
to eavesdrop on the reef,
294
00:19:27,140 --> 00:19:30,860
I'm finding out about another
Maldivian resident.
295
00:19:30,860 --> 00:19:32,460
Turtles.
296
00:19:32,460 --> 00:19:33,660
What a treat!
297
00:19:36,220 --> 00:19:38,180
Oh, so many turtles!
298
00:19:38,180 --> 00:19:42,460
So far, hawksbills.
They're really characteristic,
299
00:19:42,460 --> 00:19:44,900
they've got a parrot-like beak,
a kind of overbite
300
00:19:44,900 --> 00:19:47,940
from the upper jaw,
and then the back of the shell
301
00:19:47,940 --> 00:19:52,220
has this almost saw-tooth
look about it.
302
00:19:52,220 --> 00:19:54,100
You can see them instantly.
303
00:19:56,620 --> 00:20:00,380
Sea Turtles patrolled the oceans
while dinosaurs roamed the Earth,
304
00:20:00,380 --> 00:20:02,980
more than 200 million years ago.
305
00:20:02,980 --> 00:20:06,500
They've evolved a close
relationship with coral.
306
00:20:08,340 --> 00:20:11,260
Hawksbill turtles
are like sea sheep,
307
00:20:11,260 --> 00:20:14,740
spending their days
grazing and defecating.
308
00:20:14,740 --> 00:20:17,460
They eat a variety of plants
and sponges.
309
00:20:18,660 --> 00:20:22,500
The turtles obviously need the food,
but it works both ways.
310
00:20:22,500 --> 00:20:26,060
Without the turtles, the plants
quickly get out of control,
311
00:20:26,060 --> 00:20:28,220
smothering the coral and killing it.
312
00:20:32,900 --> 00:20:37,700
Their future is totally tangled up
with the health of these reefs.
313
00:20:37,700 --> 00:20:40,580
Protect the coral,
and you protect the turtles.
314
00:20:41,660 --> 00:20:44,860
With the coral situation
here on a knife edge,
315
00:20:44,860 --> 00:20:47,820
the Maldives cannot afford
to lose its turtles.
316
00:20:50,380 --> 00:20:53,740
Hawksbill turtles like these
are critically endangered,
317
00:20:53,740 --> 00:20:56,460
but a team of researchers
are working to monitor and protect
318
00:20:56,460 --> 00:20:58,300
these coral gardeners.
319
00:20:58,300 --> 00:21:01,100
And they're doing it without
darting or tagging -
320
00:21:01,100 --> 00:21:02,940
just waiting and watching.
321
00:21:02,940 --> 00:21:05,740
You're basically
a paparazzi for turtles.
322
00:21:05,740 --> 00:21:08,500
That is exactly it!
We are going into the water
323
00:21:08,500 --> 00:21:12,060
and getting photo ID shots of the
face of sea turtles in the water.
324
00:21:12,060 --> 00:21:14,740
And then we're uploading the photos
onto our laptop
325
00:21:14,740 --> 00:21:16,380
to see which individual it is -
326
00:21:16,380 --> 00:21:20,100
whether it's one that we've seen
before, or whether it's a new one.
327
00:21:20,100 --> 00:21:22,860
We're going to find out which
turtles are on gardening duty
328
00:21:22,860 --> 00:21:25,020
in this reef today.
329
00:21:25,020 --> 00:21:26,580
Camera was upside down!
330
00:21:26,580 --> 00:21:29,380
You didn't see that, did you?!
331
00:21:39,940 --> 00:21:44,740
Julian has built a comprehensive
database of 750 turtles,
332
00:21:44,740 --> 00:21:47,620
which will alert him
to any significant changes
333
00:21:47,620 --> 00:21:49,660
in the population.
334
00:21:53,940 --> 00:21:58,380
OK, Sarah, have you got any sense
of who any of our heroes might be?
335
00:21:58,380 --> 00:22:01,980
Well, there's a turtle called Daisy
who's very commonly seen
336
00:22:01,980 --> 00:22:03,900
in the site you just went to.
337
00:22:03,900 --> 00:22:08,500
So, I'm just going to type her name
down on the database.
338
00:22:08,500 --> 00:22:10,900
And, yep, that is Daisy.
339
00:22:10,900 --> 00:22:13,620
What is it you're looking for in
these photos for identification?
340
00:22:13,620 --> 00:22:16,860
We're just looking
for the distinctive patterns
341
00:22:16,860 --> 00:22:18,740
on the turtles' faces.
342
00:22:18,740 --> 00:22:21,580
Every turtle has a different
pattern, kind of like a fingerprint.
343
00:22:24,020 --> 00:22:27,500
This reef and its attendant
turtles are living proof
344
00:22:27,500 --> 00:22:29,740
that coral can recover unaided
345
00:22:29,740 --> 00:22:32,660
after extreme sea temperature
events.
346
00:22:32,660 --> 00:22:36,340
But as these events become more
severe and more frequent,
347
00:22:36,340 --> 00:22:39,420
there will be no recovery time
between the blows.
348
00:22:39,420 --> 00:22:43,700
This is likely to be the case
for 99% of the world's reefs.
349
00:22:43,700 --> 00:22:46,300
Coral is going to need life support.
350
00:22:49,220 --> 00:22:52,220
We've had our artificial eyes
and ears spying on the reef
351
00:22:52,220 --> 00:22:54,100
for a couple of days.
352
00:22:54,100 --> 00:22:58,420
In fact, the clownfish seem
very at home in the camera tripod.
353
00:23:03,860 --> 00:23:05,780
So, this is totally new to science.
354
00:23:05,780 --> 00:23:08,540
It's been really exciting starting
to unpack these recordings.
355
00:23:08,540 --> 00:23:10,660
Do we have any moments
where you can link up the sound
356
00:23:10,660 --> 00:23:12,140
with something we can see?
357
00:23:12,140 --> 00:23:14,020
So this is the really
exciting thing.
358
00:23:14,020 --> 00:23:16,100
This is a really new direction
that we can go in,
359
00:23:16,100 --> 00:23:18,740
where we can put the recorders
down next to the camera. Yeah.
360
00:23:18,740 --> 00:23:21,140
To try and get a good example,
of that...
361
00:23:21,140 --> 00:23:24,020
WHIRRING AND CLICKING
362
00:23:24,020 --> 00:23:26,500
So I'm calling it the laugh,
high, low, low...
363
00:23:26,500 --> 00:23:29,820
"Whurrpp, burrp, burrrp, burrrp.
Whurrpp, burrp, burrrp, burrrp."
364
00:23:29,820 --> 00:23:32,340
OK? So then if I go into the video,
this is that moment.
365
00:23:32,340 --> 00:23:37,260
OK? So if we watch the video,
we're looking for a fish arriving
366
00:23:37,260 --> 00:23:40,660
and producing the sound,
and it's this guy here...
367
00:23:40,660 --> 00:23:44,460
Whoa! So, the Regal Angelfish...
An Angelfish? ..swims in.
368
00:23:44,460 --> 00:23:47,020
And so I've gone through the video
to find other times
369
00:23:47,020 --> 00:23:49,580
that the Regal Angelfish
is in the frame. Yep.
370
00:23:49,580 --> 00:23:51,460
And sure enough, we hear that
371
00:23:51,460 --> 00:23:54,420
"whurrpp, burrp, burrrp, burrrp,
whurrpp, burrp, burrrp, burrrp".
372
00:23:54,420 --> 00:23:56,460
So it's a really nice
way of actually being able
373
00:23:56,460 --> 00:23:59,500
to put some characters into the
soundscape for the first time.
374
00:23:59,500 --> 00:24:00,900
That's extraordinary!
375
00:24:00,900 --> 00:24:05,060
It's like you recorded
a bird song for the first time
376
00:24:05,060 --> 00:24:07,540
in the 21st century.
377
00:24:07,540 --> 00:24:10,500
We are a long way behind underwater,
but it means we can listen
378
00:24:10,500 --> 00:24:12,700
with our eyes open.
It's so exciting.
379
00:24:12,700 --> 00:24:15,060
This feels pretty special to me.
380
00:24:15,060 --> 00:24:17,460
These are fish I don't think
a human has ever heard before.
381
00:24:17,460 --> 00:24:19,860
Species that have never been
recorded.
382
00:24:19,860 --> 00:24:23,380
So this really is a pioneering
adventure into the soundscapes
383
00:24:23,380 --> 00:24:25,500
of coral reefs.
384
00:24:25,500 --> 00:24:28,540
These new discoveries
have huge ramifications
385
00:24:28,540 --> 00:24:31,220
for the coral-restoration work
beginning here.
386
00:24:31,220 --> 00:24:33,580
Steve plans to play
these recordings,
387
00:24:33,580 --> 00:24:36,620
taken from healthy reefs,
back out into the ocean
388
00:24:36,620 --> 00:24:40,460
using loudspeakers, essentially
tricking millions of baby coral
389
00:24:40,460 --> 00:24:43,900
into setting up home
on dead and degraded reefs,
390
00:24:43,900 --> 00:24:46,460
jump-starting them back to life.
391
00:24:46,460 --> 00:24:51,740
You're talking about playing the
sounds of a perfect, pristine reef
392
00:24:51,740 --> 00:24:54,260
as a kind of calling card?
393
00:24:54,260 --> 00:24:55,580
Absolutely.
394
00:24:55,580 --> 00:24:58,100
As a "come hither"
to floating coral larvae.
395
00:24:58,100 --> 00:24:59,780
That's the plan.
396
00:24:59,780 --> 00:25:02,540
And over probably
two or three generations,
397
00:25:02,540 --> 00:25:03,900
two or three seasons,
398
00:25:03,900 --> 00:25:07,660
you start to then make that coral
reef its own loudspeaker again.
399
00:25:07,660 --> 00:25:11,100
Because, ultimately, we can call
the punters to the nightclub,
400
00:25:11,100 --> 00:25:13,420
but I think here we've got
the chance to actually rebuild
401
00:25:13,420 --> 00:25:15,900
the nightclub.
402
00:25:15,900 --> 00:25:19,140
What if some cheap underwater
speakers pumping out
403
00:25:19,140 --> 00:25:23,740
the Greatest Fish Playlist on repeat
could give coral a future?
404
00:25:23,740 --> 00:25:27,860
Visibly thriving reefs rising
from the dead in three years.
405
00:25:32,140 --> 00:25:35,500
What we've found out so far
has completely blown my mind.
406
00:25:35,500 --> 00:25:39,300
I, as a naturalist, am obsessed
with things like frog calls
407
00:25:39,300 --> 00:25:41,660
and bird songs, and all of a sudden,
408
00:25:41,660 --> 00:25:44,700
this whole new era
of natural history
409
00:25:44,700 --> 00:25:50,620
is opened up to me, a whole field
of study I didn't even think of.
410
00:25:50,620 --> 00:25:54,140
And the possibility that there
is the power to use sound
411
00:25:54,140 --> 00:25:58,540
to rejuvenate these reefs,
kind of feels like science fiction.
412
00:25:58,540 --> 00:26:00,820
But right here,
it could become a reality.
413
00:26:19,820 --> 00:26:24,300
I've come to the very remote
north-eastern coast of Greenland.
414
00:26:24,300 --> 00:26:27,500
The nearest settlement is more
than 200 miles away.
415
00:26:27,500 --> 00:26:29,860
There's no Wi-Fi,
there's no phone signal,
416
00:26:29,860 --> 00:26:33,020
the average temperature
is minus nine.
417
00:26:33,020 --> 00:26:37,460
And there's the very real chance
that I could bump into a polar bear.
418
00:26:40,980 --> 00:26:44,620
Climate scientists journey here
to put their fingers
419
00:26:44,620 --> 00:26:48,540
firmly on the pulse
of our changing planet.
420
00:26:48,540 --> 00:26:50,900
I can't think of a better place
to be to pick up
421
00:26:50,900 --> 00:26:53,460
from last year's experience.
422
00:26:54,700 --> 00:26:59,660
In 2021, I witnessed just how fast
the world's ice is slipping away
423
00:26:59,660 --> 00:27:02,020
from us as our planet warms.
424
00:27:05,460 --> 00:27:09,140
This year, I'm back on an Arctic
expedition to understand
425
00:27:09,140 --> 00:27:11,620
another pressure on life here.
426
00:27:11,620 --> 00:27:15,300
Extreme weather events
are threatening this ecosystem,
427
00:27:15,300 --> 00:27:18,900
and one of the most ancient
creatures on the planet.
428
00:27:20,180 --> 00:27:23,060
So I'm meeting a scientist
who's been studying them
429
00:27:23,060 --> 00:27:27,460
for over 20 years, and is
developing ingenious solutions
430
00:27:27,460 --> 00:27:31,020
to monitor them
in this inhospitable landscape.
431
00:27:33,580 --> 00:27:35,620
I've just arrived
at the world-famous
432
00:27:35,620 --> 00:27:37,420
Zackenberg Research Station
433
00:27:37,420 --> 00:27:41,100
to meet Niels Martin Schmidt.
And here he is.
434
00:27:41,100 --> 00:27:43,460
I recognise your photo!
Niels, nice to meet you.
435
00:27:43,460 --> 00:27:45,860
Nice to meet you.
And who have we got here?
436
00:27:45,860 --> 00:27:47,500
This is the musk ox team.
437
00:27:47,500 --> 00:27:51,300
Well, we're in search of musk ox.
Have we come to the right place?
438
00:27:51,300 --> 00:27:53,540
You have definitely
come to the right place.
439
00:27:53,540 --> 00:27:56,940
This is the high Arctic.
This is where you find musk ox.
440
00:27:56,940 --> 00:27:59,700
And since there's only
one large herbivore,
441
00:27:59,700 --> 00:28:01,980
they play the key role up here.
442
00:28:01,980 --> 00:28:04,900
It's thought there are
up to 12,500 musk oxen
443
00:28:04,900 --> 00:28:06,900
here in northeast Greenland.
444
00:28:08,260 --> 00:28:11,860
Relics of the Ice Age,
they're finely tuned to life here,
445
00:28:11,860 --> 00:28:15,140
shaping the landscape
for thousands of years.
446
00:28:17,340 --> 00:28:20,700
There's a general perception that,
as things warm up,
447
00:28:20,700 --> 00:28:24,620
animals which have adapted
to cold climates will simply move
448
00:28:24,620 --> 00:28:28,500
northwards until there's no more
northwards left, one presumes.
449
00:28:28,500 --> 00:28:31,980
But of course, if they vacate
an ecosystem, it will change.
450
00:28:31,980 --> 00:28:35,300
We have realised over the years
they are really
451
00:28:35,300 --> 00:28:37,460
an integrated part
of this ecosystem.
452
00:28:37,460 --> 00:28:41,660
They graze in these more productive
areas and then they go and rest
453
00:28:41,660 --> 00:28:44,580
and defecate on the more drier spots
454
00:28:44,580 --> 00:28:47,140
and they transport
all these nutrients uphill.
455
00:28:47,140 --> 00:28:49,500
And then all this grazing
and the trampling they do
456
00:28:49,500 --> 00:28:51,740
when they forage also changes
the composition
457
00:28:51,740 --> 00:28:53,980
of the plant communities.
458
00:28:53,980 --> 00:28:57,700
And ultimately, they end up dying
and that's also a resource,
459
00:28:57,700 --> 00:29:02,140
at least for the Arctic fox that
rely on dead musk oxen in winter.
460
00:29:03,660 --> 00:29:06,340
Niels and his team
have excluded musk oxen
461
00:29:06,340 --> 00:29:08,980
from some small test sites.
462
00:29:10,500 --> 00:29:13,460
These areas,
devoid of this key species,
463
00:29:13,460 --> 00:29:16,500
resulted in dramatic changes
to the vegetation.
464
00:29:17,780 --> 00:29:20,140
So you'll have a completely
different ecosystem
465
00:29:20,140 --> 00:29:21,980
if you take away the musk oxen.
466
00:29:21,980 --> 00:29:25,380
The results have shown that
in the sites without musk oxen,
467
00:29:25,380 --> 00:29:29,100
the vegetation is far less
effective at absorbing carbon
468
00:29:29,100 --> 00:29:31,020
from the atmosphere.
469
00:29:31,020 --> 00:29:34,700
Carbon capture is very much
influenced by animal grazing.
470
00:29:34,700 --> 00:29:37,780
So every time an animal walks into
an area and starts to graze,
471
00:29:37,780 --> 00:29:39,900
the plant will respond by regrowing.
472
00:29:39,900 --> 00:29:43,260
So that will increase the uptake
of carbon into the system.
473
00:29:43,260 --> 00:29:45,940
These interactions
made by the musk oxen,
474
00:29:45,940 --> 00:29:49,460
they are part of the entire
climate feedback system.
475
00:29:51,140 --> 00:29:54,700
So, it's not just climate
impacting the musk oxen -
476
00:29:54,700 --> 00:29:57,940
their presence feeds back
to the climate system, too.
477
00:29:59,300 --> 00:30:03,020
Niels is trying to understand
how musk oxen will respond
478
00:30:03,020 --> 00:30:05,100
to a rapidly shifting climate.
479
00:30:07,420 --> 00:30:10,660
And it's not steady warming
that worries him most.
480
00:30:10,660 --> 00:30:14,020
He thinks an increase in extreme
weather will eventually
481
00:30:14,020 --> 00:30:16,900
push them to the brink.
482
00:30:16,900 --> 00:30:20,300
But the Arctic is vast,
difficult to access,
483
00:30:20,300 --> 00:30:25,060
and for three months of the year,
Zackenberg is in darkness.
484
00:30:25,060 --> 00:30:27,940
Niels hopes high-tech collars
and clever gadgets
485
00:30:27,940 --> 00:30:32,220
will offer a solution to gain
insight into how musk oxen survive
486
00:30:32,220 --> 00:30:35,460
in the depths of winter,
when he can't be here.
487
00:30:36,540 --> 00:30:39,740
Tomorrow, the adventure begins.
488
00:30:39,740 --> 00:30:41,900
I'm going to like it here, I think.
489
00:30:41,900 --> 00:30:46,780
It's my type of place.
Spick and span, neat, orderly.
490
00:30:46,780 --> 00:30:50,860
I'm going to be here for nearly
a week with no phone signal,
491
00:30:50,860 --> 00:30:53,580
no news, nothing.
492
00:30:53,580 --> 00:30:55,740
I might stay here forever!
493
00:30:55,740 --> 00:30:59,780
Maybe I could just -
I don't know - tend to the oxen.
494
00:31:04,940 --> 00:31:09,460
TEAM CALL OUT INSTRUCTIONS
495
00:31:09,460 --> 00:31:12,180
Ooh! Perfect! That is good.
496
00:31:13,820 --> 00:31:17,340
The scientists have done their
necessary preparation and rehearsal,
497
00:31:17,340 --> 00:31:19,460
so we've got to the stage now
498
00:31:19,460 --> 00:31:22,180
whereby we need to spot
the musk oxen.
499
00:31:23,620 --> 00:31:27,020
But the musk oxen's range is vast,
covering an area
500
00:31:27,020 --> 00:31:31,660
of around 2,000 square miles
across this hostile landscape.
501
00:31:33,300 --> 00:31:35,620
Today, we're in luck.
502
00:31:35,620 --> 00:31:39,500
10, 11, 12, 13, 14, 15, 16.
17 in that group.
503
00:31:39,500 --> 00:31:44,140
The team spread out like a pack
of wolves, surrounding the group,
504
00:31:44,140 --> 00:31:46,380
and driving them to higher ground.
505
00:31:48,700 --> 00:31:50,540
OK, I see you, thank you.
506
00:31:51,980 --> 00:31:54,460
Currently we are trying
to move the herd,
507
00:31:54,460 --> 00:31:58,100
to make them stay put
so we can have the vet approach.
508
00:31:58,100 --> 00:32:00,540
But they're not behaving right now.
509
00:32:00,540 --> 00:32:04,300
It's a process that requires
guile and patience.
510
00:32:04,300 --> 00:32:08,060
The musk oxen have formed
a defensive group.
511
00:32:08,060 --> 00:32:11,900
All I can see is a series of heads
and horns facing outwards.
512
00:32:13,020 --> 00:32:14,860
This group has no calves.
513
00:32:14,860 --> 00:32:16,620
Most of the females
would be suitable here.
514
00:32:16,620 --> 00:32:18,260
So, if they've got no calf,
515
00:32:18,260 --> 00:32:21,700
that means that they are likely
to give birth next year? Yes, yes.
516
00:32:21,700 --> 00:32:25,140
The calves are born
between April and May.
517
00:32:25,140 --> 00:32:27,820
I would expect that they're
actually pregnant now. Yes.
518
00:32:27,820 --> 00:32:29,900
Which would be great for your study.
Yeah.
519
00:32:31,220 --> 00:32:34,780
Niels' research focuses
on females and their babies,
520
00:32:34,780 --> 00:32:38,340
because understanding
the next generation is vital
521
00:32:38,340 --> 00:32:41,020
in protecting the future
of this population.
522
00:32:41,020 --> 00:32:44,660
OK. I think we should start
to move a bit closer.
523
00:32:47,140 --> 00:32:50,060
Now they are moving.
I think they are stopping.
524
00:32:50,060 --> 00:32:52,260
Wait a minute.
525
00:32:52,260 --> 00:32:55,420
Nothing prepares the team
for the highs and lows
526
00:32:55,420 --> 00:32:58,020
of chasing musk oxen
across the tundra!
527
00:33:03,860 --> 00:33:07,780
Our first attempt to encircle
the musk oxen and move them
528
00:33:07,780 --> 00:33:11,300
to somewhere where they would be
calm enough to remain
529
00:33:11,300 --> 00:33:15,380
so that we could dart one or more
of them has unfortunately failed.
530
00:33:15,380 --> 00:33:19,100
They fled over to the other
side of the hill.
531
00:33:20,620 --> 00:33:25,100
It's strenuous work,
walking over 12 miles a day,
532
00:33:25,100 --> 00:33:28,860
laden with kit,
but the scientists push on.
533
00:33:28,860 --> 00:33:33,220
During this expedition, Niels
is hoping to deploy 21 collars.
534
00:33:33,220 --> 00:33:36,540
But in three weeks' time,
this place closes down
535
00:33:36,540 --> 00:33:41,100
for the Arctic winter -
no-one gets in, no-one gets out.
536
00:33:44,140 --> 00:33:45,660
There they are!
537
00:33:47,660 --> 00:33:51,380
Our mission is to get them
onto that steep hill there.
538
00:33:51,380 --> 00:33:53,780
Musk oxen like to run uphill.
539
00:33:53,780 --> 00:33:56,420
When they're on the top,
they stand still and look down.
540
00:33:56,420 --> 00:33:58,100
And then the vet can approach.
541
00:33:59,300 --> 00:34:02,100
Oh, whoa, whoa!
They are up in, like, five seconds.
542
00:34:02,100 --> 00:34:04,340
Just follow along the ridge, guys.
543
00:34:04,340 --> 00:34:08,460
The team work together to keep
the herd on the brow of the hill.
544
00:34:10,060 --> 00:34:13,700
So, if you are in the south
position, move out of the area.
545
00:34:13,700 --> 00:34:16,300
So my role at the moment
is to stand here and be a human,
546
00:34:16,300 --> 00:34:19,140
which is challenging at times
in this temperature!
547
00:34:19,140 --> 00:34:21,820
But ideally the musk oxen
won't come down if they see me
548
00:34:21,820 --> 00:34:23,740
standing here,
and if they show any signs,
549
00:34:23,740 --> 00:34:25,780
I'm going to wave my arms and go,
550
00:34:25,780 --> 00:34:29,380
"Whoa, musk oxen,"
or something like that.
551
00:34:29,380 --> 00:34:31,980
I'm very confident that I'll
be able to stop a musk oxen
552
00:34:31,980 --> 00:34:34,460
in its hooves, no question about it.
553
00:34:37,340 --> 00:34:41,660
The vet must get to within
45 metres to dart.
554
00:34:41,660 --> 00:34:43,620
I am ready to shoot, everybody.
555
00:34:43,620 --> 00:34:45,620
SHOT FIRED
556
00:34:46,980 --> 00:34:49,060
The dart is in the female,
557
00:34:49,060 --> 00:34:51,340
so we're just going to
wait for that to kick in.
558
00:34:55,980 --> 00:34:59,740
The cow is down. Yeah, I have her.
Super. We got her!
559
00:34:59,740 --> 00:35:02,100
Once the animal is anaesthetised,
560
00:35:02,100 --> 00:35:05,340
it's essential that everyone works
as a team as rapidly as possible.
561
00:35:05,340 --> 00:35:08,780
The animal's welfare
is absolutely paramount here.
562
00:35:08,780 --> 00:35:10,740
One, two, three!
563
00:35:10,740 --> 00:35:13,580
She is weighed using
a series of luggage scales.
564
00:35:13,580 --> 00:35:15,220
And let go.
565
00:35:15,220 --> 00:35:17,700
OK, Chris, your numbers?
566
00:35:17,700 --> 00:35:21,780
23.47. 11.5. 11 and 14.
567
00:35:21,780 --> 00:35:25,900
She comes in at a healthy
217kg.
568
00:35:26,980 --> 00:35:28,500
She's measured...
569
00:35:29,820 --> 00:35:32,980
Blood is taken to assess
her overall health
570
00:35:32,980 --> 00:35:36,700
and, crucially, to identify
if she is pregnant.
571
00:35:36,700 --> 00:35:39,540
This is about bigger-picture
ecological changes, isn't it?
572
00:35:39,540 --> 00:35:40,780
Yes.
573
00:35:40,780 --> 00:35:43,060
So they're a perfect
indicator, basically,
574
00:35:43,060 --> 00:35:45,900
for some of the climatic changes
that are taking place here.
575
00:35:45,900 --> 00:35:50,100
What we basically can do
is to understand the full extent
576
00:35:50,100 --> 00:35:53,620
of the role the musk oxen play
in an ecosystem.
577
00:35:53,620 --> 00:35:58,260
And it's not just climate impacting
musk oxen, it's all interlinked.
578
00:36:00,700 --> 00:36:03,140
There are many impressive
things about the musk ox,
579
00:36:03,140 --> 00:36:05,140
I've got to say,
but just look at the fur.
580
00:36:05,140 --> 00:36:08,700
On the outside, you've got these
really long guard hairs,
581
00:36:08,700 --> 00:36:11,660
but if I try and tease it apart
to reveal the underfur here,
582
00:36:11,660 --> 00:36:13,220
the insulating layer,
583
00:36:13,220 --> 00:36:16,540
and there you can just see
that white line, that's the skin.
584
00:36:16,540 --> 00:36:18,540
But look at the depth of that.
585
00:36:19,620 --> 00:36:22,420
No wonder they can survive
up in the Arctic.
586
00:36:23,420 --> 00:36:25,500
Oh, and what about the smell?
587
00:36:25,500 --> 00:36:27,740
Hmmm. It's a bit sheepy, actually.
588
00:36:28,700 --> 00:36:32,620
No, not really.
No, it's unique, but not musky.
589
00:36:36,540 --> 00:36:39,940
Because of this incredible hair,
musk oxen can survive
590
00:36:39,940 --> 00:36:44,660
in temperatures between
+10 and -40 degrees Celsius.
591
00:36:45,980 --> 00:36:49,260
Remarkably, these hairs
can also paint a picture
592
00:36:49,260 --> 00:36:52,380
of what she's eaten for the past
five years,
593
00:36:52,380 --> 00:36:56,900
with each two millimetres
of the strand representing nine days
594
00:36:56,900 --> 00:36:58,820
of her diet.
595
00:36:58,820 --> 00:37:02,220
This research provides clues
about the surrounding environment.
596
00:37:02,220 --> 00:37:06,820
Periods of starvation could indicate
particularly heavy snow events
597
00:37:06,820 --> 00:37:09,020
that prevented her from feeding.
598
00:37:11,180 --> 00:37:15,220
Such a specialist
in such a fantastic, remote,
599
00:37:15,220 --> 00:37:18,020
and beautiful environment.
This is a real privilege.
600
00:37:19,980 --> 00:37:23,580
Limited access to the Arctic
means Niels can't be here
601
00:37:23,580 --> 00:37:25,500
for calving season,
602
00:37:25,500 --> 00:37:29,180
so the vet has inserted
a vaginal implant transmitter.
603
00:37:29,180 --> 00:37:33,780
This vaginal transmitter will
give a signal once she gives birth.
604
00:37:33,780 --> 00:37:37,420
And the idea now is that
it will be egested at the point
605
00:37:37,420 --> 00:37:40,180
of giving birth, and then we'll know
exactly where and when
606
00:37:40,180 --> 00:37:44,820
she's given birth! Exactly.
Great gadget! Very clever.
607
00:37:44,820 --> 00:37:47,980
We're going to reverse
the anaesthetic.
608
00:37:47,980 --> 00:37:50,860
And here she goes. Good girl. Whooo!
609
00:38:03,060 --> 00:38:04,580
I'm really tired.
610
00:38:04,580 --> 00:38:08,060
It's because I've been tramping
across an Arctic tundra all day.
611
00:38:08,060 --> 00:38:09,980
These guys are like, you know,
612
00:38:09,980 --> 00:38:12,700
some sort of Danish
scientific athlete.
613
00:38:12,700 --> 00:38:16,900
They just run up and down
the tundra mountain sides like,
614
00:38:16,900 --> 00:38:20,780
I don't know, chamois,
mountain goat!
615
00:38:20,780 --> 00:38:22,740
But I shouldn't complain -
616
00:38:22,740 --> 00:38:25,780
I've got a strong feeling
tomorrow is going to be even better.
617
00:38:29,220 --> 00:38:32,220
Cultural burning is a powerful
tool for reducing
618
00:38:32,220 --> 00:38:34,740
the impact of wildfires,
619
00:38:34,740 --> 00:38:39,940
but another nature-based solution
can also be found in California.
620
00:38:42,180 --> 00:38:43,620
The beaver.
621
00:38:44,980 --> 00:38:47,940
The Tule River Tribe
have always understood
622
00:38:47,940 --> 00:38:51,620
the benefits of this enigmatic
ecosystem engineer.
623
00:38:51,620 --> 00:38:53,780
And now,
this traditional knowledge
624
00:38:53,780 --> 00:38:57,220
is being complemented
by exciting new science.
625
00:38:59,060 --> 00:39:02,220
I'm meeting ecohydrologist
Dr Emily Fairfax.
626
00:39:05,180 --> 00:39:09,820
So, what I study is how beavers
impact fire-affected landscapes.
627
00:39:09,820 --> 00:39:11,980
And in these kinds of settings,
628
00:39:11,980 --> 00:39:15,580
it's really quite incredible
seeing what they can do.
629
00:39:19,380 --> 00:39:21,060
Oh, wow! Yeah.
630
00:39:23,580 --> 00:39:25,740
This doesn't look like it
belongs here.
631
00:39:25,740 --> 00:39:27,260
It's pretty impressive.
632
00:39:27,260 --> 00:39:29,900
Coming from all of this ash
and all these dead trees.
633
00:39:29,900 --> 00:39:32,780
I can't believe what I'm seeing.
634
00:39:32,780 --> 00:39:34,700
It's a proper little oasis.
635
00:39:34,700 --> 00:39:39,380
Mm-hm. And it is completely
engineered by the beavers here.
636
00:39:39,380 --> 00:39:42,780
The beavers transformed this
into an absolutely thriving wetland.
637
00:39:42,780 --> 00:39:45,980
This is absolutely stunning.
And look! Yeah.
638
00:39:45,980 --> 00:39:49,140
You've got some of their
little chew marks here.
639
00:39:51,340 --> 00:39:53,380
So, during the fire,
640
00:39:53,380 --> 00:39:55,260
are you telling me
this just didn't burn?
641
00:39:55,260 --> 00:39:56,980
No, it didn't burn at all.
642
00:39:56,980 --> 00:39:59,100
So these trees,
they're burnt right up on the edge.
643
00:39:59,100 --> 00:40:00,700
If you were a beaver during this,
644
00:40:00,700 --> 00:40:03,500
you are encircled
with walls of fire.
645
00:40:05,260 --> 00:40:07,620
I thought it was too much for them,
and then the first time
646
00:40:07,620 --> 00:40:09,780
I came up here and I see this,
and I'm like...
647
00:40:09,780 --> 00:40:11,100
I ran down into the pond.
648
00:40:11,100 --> 00:40:14,900
I was like, this is so amazing!
The beavers were safe.
649
00:40:14,900 --> 00:40:16,900
It was just way too wet to burn.
650
00:40:16,900 --> 00:40:19,340
I am almost speechless.
651
00:40:19,340 --> 00:40:22,140
I mean, this is mind-blowing,
it really is.
652
00:40:22,140 --> 00:40:25,060
Almost three hectares in size,
653
00:40:25,060 --> 00:40:29,500
this wetland is maintained
by one family of four beavers.
654
00:40:29,500 --> 00:40:32,060
And it would have taken them
just two years to build.
655
00:40:33,900 --> 00:40:37,820
Emily uses her drone to show me
the complexity of their work.
656
00:40:37,820 --> 00:40:41,620
So, what we have here is this main
primary beaver dam.
657
00:40:41,620 --> 00:40:44,140
But "busy as a beaver"
is a phrase for a real reason -
658
00:40:44,140 --> 00:40:46,260
they keep building. Look at that!
659
00:40:46,260 --> 00:40:49,740
They've dug a ton of canals just
radiating out from their pond.
660
00:40:49,740 --> 00:40:52,900
And I presume that's contributing
to the ground water, as well?
661
00:40:52,900 --> 00:40:55,740
What you can't actually see
is that, beneath all of this,
662
00:40:55,740 --> 00:40:58,460
there's about five times as much
ground water storage -
663
00:40:58,460 --> 00:41:00,060
we're standing on it now.
664
00:41:00,060 --> 00:41:02,380
And any plant that can access
all that water,
665
00:41:02,380 --> 00:41:04,700
that when you have something
like a wildfire come through,
666
00:41:04,700 --> 00:41:06,180
are just too wet to burn.
667
00:41:07,940 --> 00:41:12,340
It's this healthy plant life that
Emily uses to collect her data.
668
00:41:15,020 --> 00:41:19,740
Multi-spectral drones and satellites
allow her to measure burn severity
669
00:41:19,740 --> 00:41:24,660
by analysing the "greenness" of
landscapes with and without beavers.
670
00:41:26,860 --> 00:41:30,900
So far, her results have shown
that beaver-dammed areas burn
671
00:41:30,900 --> 00:41:35,500
three times less intensely
than when beavers are absent.
672
00:41:35,500 --> 00:41:40,140
Why would beavers work so hard to
build such an extensive complex?
673
00:41:40,140 --> 00:41:42,980
When beavers are in the water,
they're very safe,
674
00:41:42,980 --> 00:41:45,220
they're excellent swimmers,
they hold their breath
675
00:41:45,220 --> 00:41:47,700
for 15 minutes,
no predators can get them there.
676
00:41:47,700 --> 00:41:51,460
But, as soon as they're out on the
land, easy pickings for predators.
677
00:41:51,460 --> 00:41:54,580
Like, that's a big chicken nugget
just walking around the landscape!
678
00:41:54,580 --> 00:41:58,140
And so they want to have more water
area to keep themselves safe.
679
00:41:58,140 --> 00:42:01,740
So how effective, then,
can one beaver family be helping
680
00:42:01,740 --> 00:42:06,100
to mitigate the force of the fires
that are raging through California?
681
00:42:06,100 --> 00:42:10,060
Well, this family at least was able
to protect this entire wetland.
682
00:42:10,060 --> 00:42:12,740
Scale that up,
and instead of patches,
683
00:42:12,740 --> 00:42:15,420
you're looking at huge strings
of fireproof landscape -
684
00:42:15,420 --> 00:42:17,140
that's a firebreak.
685
00:42:17,140 --> 00:42:19,900
Each one of those is like a little
speedbump and so you can start
686
00:42:19,900 --> 00:42:23,380
to fundamentally alter how fire
is moving through the landscape. OK.
687
00:42:30,580 --> 00:42:32,540
But there's a problem.
688
00:42:32,540 --> 00:42:36,860
Beavers were hunted to near
extinction over 100 years ago,
689
00:42:36,860 --> 00:42:41,620
leaving few remaining
wild populations in California.
690
00:42:41,620 --> 00:42:44,260
Today, many people regard them
as pests,
691
00:42:44,260 --> 00:42:48,260
and when their dam building
clashes with human infrastructure,
692
00:42:48,260 --> 00:42:50,300
they are often killed.
693
00:42:55,020 --> 00:42:58,140
If we get things right in
California when it comes to beavers,
694
00:42:58,140 --> 00:42:59,940
what would you like to see happen?
695
00:42:59,940 --> 00:43:02,580
Let's relocate those beavers
and help re-establish them
696
00:43:02,580 --> 00:43:05,140
in some of these watersheds where
they've been gone for so long.
697
00:43:07,020 --> 00:43:11,660
Emily and the Tule River Tribe are
part of a network of organisations
698
00:43:11,660 --> 00:43:16,100
and communities working to bring
beavers back to California.
699
00:43:16,100 --> 00:43:20,180
And last year,
real progress was made.
700
00:43:20,180 --> 00:43:23,900
New legislation was passed,
making it legal to relocate
701
00:43:23,900 --> 00:43:27,220
so-called nuisance beavers
in the coming years.
702
00:43:30,420 --> 00:43:32,700
But I also can't help thinking,
703
00:43:32,700 --> 00:43:36,540
will there come a time
when what beavers do best
704
00:43:36,540 --> 00:43:40,260
simply won't be enough in the face
of our ever-increasing threats?
705
00:43:40,260 --> 00:43:43,460
You know, beavers
are incredibly resilient,
706
00:43:43,460 --> 00:43:46,460
they can keep working and fixing
things for a long time.
707
00:43:46,460 --> 00:43:49,020
But at some point,
they run out of resources, too,
708
00:43:49,020 --> 00:43:50,540
then they can't make these patches.
709
00:43:50,540 --> 00:43:53,340
We have to deal with the root
causes of climate change.
710
00:43:53,340 --> 00:43:56,780
The beavers, they cannot
cut our emissions for us,
711
00:43:56,780 --> 00:43:59,020
they cannot stop the trajectory
of climate change.
712
00:43:59,020 --> 00:44:00,860
That's on us - that's our job.
713
00:44:02,220 --> 00:44:06,100
California has effective
nature-based solutions at its
714
00:44:06,100 --> 00:44:10,860
fingertips that can help build more
resilience in its forests.
715
00:44:10,860 --> 00:44:14,340
The hope now is that further
legislation will lead to
716
00:44:14,340 --> 00:44:19,220
their implementation so that nature
can carry out these vital roles.
717
00:44:19,220 --> 00:44:23,380
As for beavers, the next step is to
work out how to successfully
718
00:44:23,380 --> 00:44:26,340
reintroduce them
into their rightful home.
719
00:44:29,540 --> 00:44:33,700
Further up the coast, in Washington,
biologist Molly Alves is
720
00:44:33,700 --> 00:44:37,900
already making headway
and is preparing to share her work.
721
00:44:37,900 --> 00:44:39,340
Wow, that is a big dam.
722
00:44:39,340 --> 00:44:41,460
That's a big dam.
723
00:44:41,460 --> 00:44:45,060
She's spent the last eight years
working with another
724
00:44:45,060 --> 00:44:47,820
indigenous community -
the Tulalip Tribes.
725
00:44:47,820 --> 00:44:52,300
And so far, over 300 beavers have
been relocated under their watch.
726
00:44:55,020 --> 00:44:57,580
All right, safety is off,
traps are live.
727
00:45:04,100 --> 00:45:07,940
Molly and her team temporarily
house persecuted beavers
728
00:45:07,940 --> 00:45:09,500
waiting to be rehomed.
729
00:45:10,820 --> 00:45:12,660
When a new beaver arrives,
730
00:45:12,660 --> 00:45:15,740
they take the opportunity
to gather vital information.
731
00:45:20,580 --> 00:45:23,180
First, we are going to
take a hair sample
732
00:45:23,180 --> 00:45:25,580
to have a DNA sample
from this beaver.
733
00:45:25,580 --> 00:45:26,780
Very quick pull.
734
00:45:28,060 --> 00:45:29,580
Beautiful.
735
00:45:29,580 --> 00:45:30,820
Next up, an ear tag.
736
00:45:32,100 --> 00:45:34,420
Nice work, Molly. That was so quick.
737
00:45:36,500 --> 00:45:40,660
Finally, we need to identify
if this is a male or female.
738
00:45:40,660 --> 00:45:43,220
And there's only one
way to find out.
739
00:45:44,780 --> 00:45:45,820
Whoa.
740
00:45:46,900 --> 00:45:49,420
So... So, what are you doing now?
741
00:45:49,420 --> 00:45:53,620
Now I am going to access
the cloaca of the beaver.
742
00:45:55,060 --> 00:45:58,420
And cloaca houses
all of the reproductive organs.
743
00:45:58,420 --> 00:46:01,380
It's where
all the excrement comes out.
744
00:46:01,380 --> 00:46:02,620
And with beavers,
745
00:46:02,620 --> 00:46:06,700
they have these castor glands
that we need to express.
746
00:46:06,700 --> 00:46:09,940
Based on the scent, colour,
and viscosity of the castor,
747
00:46:09,940 --> 00:46:11,460
we can tell
if it's a male or female.
748
00:46:11,460 --> 00:46:14,500
If it's more viscous
and smells like motor oil
749
00:46:14,500 --> 00:46:17,660
and is more of a brownish colour,
that's a male.
750
00:46:17,660 --> 00:46:21,980
And if it's more white and milky
and smells like kind of bad cheese,
751
00:46:21,980 --> 00:46:23,780
that's a female.
752
00:46:23,780 --> 00:46:26,260
I'm almost hoping for a male,
I don't know why!
753
00:46:26,260 --> 00:46:28,180
There we have a gland expressed.
Yeah.
754
00:46:28,180 --> 00:46:29,900
You have to tell me what you think.
755
00:46:31,740 --> 00:46:32,900
That's a female.
756
00:46:34,140 --> 00:46:35,340
It sure is!
757
00:46:37,340 --> 00:46:41,340
All right! Right, I'm never going
to forget that moment.
758
00:46:41,340 --> 00:46:42,780
Everything's done.
759
00:46:42,780 --> 00:46:45,980
Now we transfer this adult female
to her temporary home.
760
00:46:47,580 --> 00:46:49,780
Beaver families form
strong social bonds,
761
00:46:49,780 --> 00:46:51,100
so the rest of her family
762
00:46:51,100 --> 00:46:54,540
will be trapped
and brought here to join her.
763
00:46:56,060 --> 00:46:58,860
Meanwhile, an adult male
and his four kits
764
00:46:58,860 --> 00:47:01,140
are ready to be moved
to their new home.
765
00:47:03,620 --> 00:47:05,500
But the mother is missing.
766
00:47:07,660 --> 00:47:10,780
As we were trapping this site,
a wildfire broke out
767
00:47:10,780 --> 00:47:13,940
at the location, so we weren't
able to return to capture her.
768
00:47:13,940 --> 00:47:15,220
You're kidding.
769
00:47:15,220 --> 00:47:18,980
Once the fire subsides, we'll try
to go get the adult female
770
00:47:18,980 --> 00:47:22,420
and reunite her with her family
at the release site.
771
00:47:30,620 --> 00:47:33,540
Yeah? Beautiful! Well done!
772
00:47:39,860 --> 00:47:43,460
Molly has identified
a suitable release site
773
00:47:43,460 --> 00:47:47,700
for this family of five in the Mount
Baker-Snoqualmie National Forest.
774
00:47:50,580 --> 00:47:54,620
She hopes they'll turn a drying
river into a thriving wetland
775
00:47:54,620 --> 00:47:56,580
and keep wildfires at bay.
776
00:48:04,980 --> 00:48:06,500
We're done. Let's do this.
777
00:48:06,500 --> 00:48:08,260
Yes, honey, I know.
778
00:48:08,260 --> 00:48:11,020
One, two, three.
779
00:48:24,420 --> 00:48:25,740
Dad!
780
00:48:28,620 --> 00:48:31,900
Come on, Dad.
Here we go, here we go.
781
00:48:31,900 --> 00:48:33,060
Out with a splash.
782
00:48:36,060 --> 00:48:37,900
He wants his other babies.
783
00:48:47,580 --> 00:48:49,820
That is the most glorious sight.
784
00:48:54,540 --> 00:48:59,860
How soon before this begins to
transform into proper beaver meadow?
785
00:48:59,860 --> 00:49:03,140
By next summer,
I hope that where we're standing,
786
00:49:03,140 --> 00:49:05,860
we would be swimming in
a cool, deep pool.
787
00:49:07,220 --> 00:49:09,860
There will be bears,
cougars, bobcats,
788
00:49:09,860 --> 00:49:13,660
all kinds of amphibians
and migratory songbirds.
789
00:49:13,660 --> 00:49:16,820
You name it -
they thrive in beaver-ponded areas.
790
00:49:18,540 --> 00:49:21,580
So we are taking our knowledge
and sharing it
791
00:49:21,580 --> 00:49:25,300
so that programmes like this
can benefit other states, as well.
792
00:49:26,300 --> 00:49:30,780
So, the sooner that folks can start
to relinquish a bit of the control
793
00:49:30,780 --> 00:49:34,420
and let the beavers protect us,
794
00:49:34,420 --> 00:49:36,300
the better off we'll be
in the future.
795
00:49:38,860 --> 00:49:42,700
I am now in awe of this gorgeous
little semi-aquatic rodent
796
00:49:42,700 --> 00:49:45,540
who is now exploring his new home.
797
00:49:56,820 --> 00:50:02,060
I have been fascinated by what I've
seen in Washington and California.
798
00:50:02,060 --> 00:50:06,580
The meeting of Indigenous knowledge
and Western science is helping
799
00:50:06,580 --> 00:50:11,580
to build solutions to the wildfire
crisis in a really tangible way.
800
00:50:12,980 --> 00:50:17,340
Recognising the importance of
traditional ecological wisdom
801
00:50:17,340 --> 00:50:19,620
is long overdue,
but it is so crucial
802
00:50:19,620 --> 00:50:22,140
because this profound understanding
803
00:50:22,140 --> 00:50:26,340
of the natural world and how to
harness nature-based solutions
804
00:50:26,340 --> 00:50:31,300
is going to be one of our strongest
allies against climate change.
805
00:50:31,300 --> 00:50:34,540
But, of course, there's
a lot more work to be done,
806
00:50:34,540 --> 00:50:36,780
and that's where
each of us comes in.
807
00:50:36,780 --> 00:50:40,540
We all can help with this -
with everything we do in life,
808
00:50:40,540 --> 00:50:43,700
we can choose to support the planet
809
00:50:43,700 --> 00:50:47,300
and that can lead to
even bigger change.
810
00:50:57,220 --> 00:51:01,100
After a night of snow, I wake up
to a transformed landscape.
811
00:51:05,100 --> 00:51:08,540
But a snow day in an Arctic
research station
812
00:51:08,540 --> 00:51:11,380
doesn't result in snowball fights
and snow angels.
813
00:51:12,820 --> 00:51:16,300
It's a chance to review data
from retrieved collars.
814
00:51:17,820 --> 00:51:20,740
To date, Niels has collared
over 60 musk oxen.
815
00:51:22,340 --> 00:51:25,860
Super-advanced collars
determine their location,
816
00:51:25,860 --> 00:51:29,660
as well as the movement of their
heads and necks in three dimensions.
817
00:51:31,180 --> 00:51:34,060
If you are grazing, your head
will be moving like this
818
00:51:34,060 --> 00:51:35,980
or if you are walking,
it will be more like this.
819
00:51:35,980 --> 00:51:38,340
It's a bit like my fitness device.
It's very much the same.
820
00:51:38,340 --> 00:51:40,740
It knows when I'm walking,
when I'm resting. Yes, exactly.
821
00:51:40,740 --> 00:51:43,060
So we can infer behaviour
based on the data
822
00:51:43,060 --> 00:51:44,620
we can extract from these collars.
823
00:51:44,620 --> 00:51:47,540
So we have seen that during winter,
for instance, they will rest
824
00:51:47,540 --> 00:51:51,340
approximately half the time, whereas
in summer they shift gear and
825
00:51:51,340 --> 00:51:54,940
turn to foraging almost continuously
throughout the light season.
826
00:51:54,940 --> 00:51:59,380
Their data has also revealed that
when not pregnant, musk oxen can
827
00:51:59,380 --> 00:52:04,100
drop their body temperature 0.8
degrees Celsius to conserve energy
828
00:52:04,100 --> 00:52:08,220
and save themselves
about 20 kilos of body weight
829
00:52:08,220 --> 00:52:09,740
over the winter.
830
00:52:09,740 --> 00:52:13,420
They feed over summer
and build up these huge fat depots
831
00:52:13,420 --> 00:52:16,540
and then they live off these
through the winter
832
00:52:16,540 --> 00:52:19,780
and develop the foetus
based on these resources.
833
00:52:19,780 --> 00:52:23,460
But extreme snowfall events
are becoming problematic.
834
00:52:24,660 --> 00:52:28,220
If snow conditions are really bad -
that means a lot of snow -
835
00:52:28,220 --> 00:52:31,300
they can't forage
and refuel over winter
836
00:52:31,300 --> 00:52:34,180
and they have to rely 100%
on these depots
837
00:52:34,180 --> 00:52:37,980
and that means that they will
skip the calf in order to survive.
838
00:52:40,140 --> 00:52:44,020
In years of heavy snow, the musk
oxen run out of fat reserves
839
00:52:44,020 --> 00:52:47,260
and will abort their pregnancies.
840
00:52:47,260 --> 00:52:52,660
It can take a year before they are
strong enough to try breeding again.
841
00:52:52,660 --> 00:52:55,540
If you have to adapt
to such a variability,
842
00:52:55,540 --> 00:52:58,340
that will sort of push
the organism to the limit.
843
00:52:58,340 --> 00:53:02,540
Even in the good snow years,
when 70% of cows give birth,
844
00:53:02,540 --> 00:53:06,060
their babies are born without
their waterproof guard hairs.
845
00:53:08,540 --> 00:53:12,500
Increasingly early and erratic
rainfall can be fatal.
846
00:53:12,500 --> 00:53:16,620
If they suffer a soaking, pneumonia
sets in, and in some years,
847
00:53:16,620 --> 00:53:19,980
all the calves will perish
in the slushy wet spring.
848
00:53:26,340 --> 00:53:30,300
But there's still a missing piece
of the puzzle.
849
00:53:30,300 --> 00:53:33,900
The vaginal implant transmitters
tell Niels exactly
850
00:53:33,900 --> 00:53:37,660
when certain females give birth,
but he still knows very little
851
00:53:37,660 --> 00:53:40,500
about what happens to the calves
after that...
852
00:53:40,500 --> 00:53:42,380
Hi, Niels. Hi, Chris.
853
00:53:42,380 --> 00:53:43,780
..until now.
854
00:53:46,100 --> 00:53:48,540
We have these camera collars -
they have a small camera here.
855
00:53:48,540 --> 00:53:51,500
Oh, wow. That's fantastic. Yes.
856
00:53:51,500 --> 00:53:54,140
So it's the first time
we will use these
857
00:53:54,140 --> 00:53:58,340
and hopefully we will get some
nice footage of the newborn.
858
00:53:58,340 --> 00:54:02,180
These cameras will also shed a light
on a key part of the musk oxen's
859
00:54:02,180 --> 00:54:05,620
life cycle that's never
been observed here,
860
00:54:05,620 --> 00:54:08,500
yet is paramount to the health
of their population -
861
00:54:08,500 --> 00:54:12,820
they will reveal how the mother's
behaviour changes when she has
862
00:54:12,820 --> 00:54:17,460
a calf in tow, and whether that calf
can survive a more volatile climate.
863
00:54:18,860 --> 00:54:22,340
Niels has already noticed a decline
in the musk ox population
864
00:54:22,340 --> 00:54:25,700
by a third in less than ten years.
865
00:54:25,700 --> 00:54:29,460
But with all this new tech
and growing data, there's hope
866
00:54:29,460 --> 00:54:33,220
these majestic mammals will be
better protected in the future.
867
00:54:39,620 --> 00:54:41,580
Finally, the snow subsides.
868
00:54:43,580 --> 00:54:45,180
But with valuable time lost
869
00:54:45,180 --> 00:54:48,540
and the end of the field season
fast approaching,
870
00:54:48,540 --> 00:54:53,140
the team must battle the elements
to get the camera collars deployed.
871
00:55:01,580 --> 00:55:03,700
RADIO: Can you give an update?
872
00:55:03,700 --> 00:55:06,220
It's looking good so far.
873
00:55:13,580 --> 00:55:15,180
Excellent.
874
00:55:19,860 --> 00:55:24,780
Over here we have an audio logger
that will, for the next six weeks,
875
00:55:24,780 --> 00:55:27,420
continuously record every sound in
the neighbourhood of a musk ox.
876
00:55:27,420 --> 00:55:28,820
Cor, it's fantastic.
877
00:55:28,820 --> 00:55:31,860
So, again, this can be used
to validate their behaviours.
878
00:55:31,860 --> 00:55:33,780
So it's an exciting year
with technology.
879
00:55:33,780 --> 00:55:35,540
You've got the audio loggers,
the cameras,
880
00:55:35,540 --> 00:55:37,700
but you're going to have to wait
how long to get the data?
881
00:55:37,700 --> 00:55:38,860
One and a half years.
882
00:55:38,860 --> 00:55:41,100
And then we need to recover
all the collars also. Yeah.
883
00:55:41,100 --> 00:55:42,900
And they can be spread out
in this area.
884
00:55:50,420 --> 00:55:53,020
If you'd have told me that,
when I was 61,
885
00:55:53,020 --> 00:55:56,940
I'd be standing in Arctic Greenland
helping a bunch of brilliant
886
00:55:56,940 --> 00:56:00,660
scientists tag a musk oxen,
I'd have burst.
887
00:56:00,660 --> 00:56:03,860
I mean, this is just phenomenal.
Look at this landscape.
888
00:56:03,860 --> 00:56:06,740
Harsh, hostile,
but extremely beautiful.
889
00:56:08,380 --> 00:56:12,500
And these supremely well-adapted
animals are living out here
890
00:56:12,500 --> 00:56:14,740
throughout the course of the year.
891
00:56:14,740 --> 00:56:16,420
But what I like even more
892
00:56:16,420 --> 00:56:19,460
is not that I've got close to an
animal, but I've got close to
893
00:56:19,460 --> 00:56:23,540
an animal which is now telling us
a story about our changing planet.
894
00:56:23,540 --> 00:56:26,180
Because we're all too aware
of the fact that we're in
895
00:56:26,180 --> 00:56:29,380
a deep, deep crisis and we've got
to do something about it,
896
00:56:29,380 --> 00:56:33,500
and we can only do something about
it if we better understand it.
897
00:56:33,500 --> 00:56:37,700
So, for me, today is a double,
double win.
898
00:56:37,700 --> 00:56:41,660
Brilliant animal, great location,
fantastic scientists,
899
00:56:41,660 --> 00:56:45,700
and more knowledge that could
help us all protect our planet.
900
00:56:59,020 --> 00:57:01,900
Next time on Our Changing Planet...
901
00:57:01,900 --> 00:57:04,340
..Gordon Buchanan is in Brazil,
902
00:57:04,340 --> 00:57:08,900
catching up with the team at
the forefront of jaguar science...
903
00:57:08,900 --> 00:57:10,300
Healthy, healthy.
904
00:57:10,300 --> 00:57:13,860
..Ella Al-Shamahi is back in
Cambodia, meeting locals
905
00:57:13,860 --> 00:57:18,940
and scientists saving a living
fossil from the brink of extinction.
906
00:57:18,940 --> 00:57:24,140
And Ade Adepitan returns to Kenya,
where game-changing solutions
907
00:57:24,140 --> 00:57:28,020
are protecting communities from
the effects of the ongoing drought.
908
00:58:02,640 --> 00:58:05,100
Four billion years in the making.
909
00:58:07,420 --> 00:58:09,740
An astonishing planet.
910
00:58:12,500 --> 00:58:17,300
Home to over eight million different
types of plant and animal.
911
00:58:19,100 --> 00:58:20,580
And us...
912
00:58:21,500 --> 00:58:23,540
..eight billion humans!
913
00:58:27,220 --> 00:58:31,660
When it comes to looking after
our home, it would be fair to say...
914
00:58:32,940 --> 00:58:34,740
..that we dropped the ball.
915
00:58:36,780 --> 00:58:39,940
But that's not the end of the story.
916
00:58:43,100 --> 00:58:48,340
Around the world, ingenious
communities, scientists and experts
917
00:58:48,340 --> 00:58:51,180
are working to protect
the natural world
918
00:58:51,180 --> 00:58:53,180
and fix what is broken.
919
00:58:54,500 --> 00:58:57,660
Hang on, hold the phone!
It might sound bonkers, OK...
920
00:58:57,660 --> 00:58:59,500
Is he making this up?!
921
00:59:01,780 --> 00:59:04,780
Oh, man,
so good to see you, brother.
922
00:59:04,780 --> 00:59:07,340
These people are surprising...
923
00:59:09,460 --> 00:59:11,580
..they are inventive...
924
00:59:11,580 --> 00:59:15,300
And we're using that biology
of the elephant to come up
with new solutions.
925
00:59:17,940 --> 00:59:20,500
..and above all, they are
determined.
926
00:59:22,220 --> 00:59:27,300
We have crocodiles in baskets
on mopeds travelling in convoy.
927
00:59:28,500 --> 00:59:30,420
Didn't ever think I would say that.
928
00:59:33,020 --> 00:59:35,580
There just seems to be life
everywhere.
929
00:59:35,580 --> 00:59:40,620
We'll be exploring extraordinary
places, rich in nature.
930
00:59:41,820 --> 00:59:43,780
Hot work.
931
00:59:43,780 --> 00:59:45,580
Ooh!
932
00:59:45,580 --> 00:59:47,540
Six pivotal locations.
933
00:59:47,540 --> 00:59:50,500
I didn't think for a second
this was going to work.
934
00:59:50,500 --> 00:59:53,180
Six teams of heroic humans...
935
00:59:53,180 --> 00:59:56,580
These are the kind of wounds that
in a human being, it would kill you.
936
00:59:56,580 --> 00:59:59,620
We'll be following
their inspiring stories.
937
00:59:59,620 --> 01:00:03,140
Brilliant animal, great location,
fantastic scientists.
938
01:00:03,140 --> 01:00:06,180
Together, we hope
to better understand
939
01:00:06,180 --> 01:00:08,940
the future of our changing planet.
940
01:00:24,900 --> 01:00:30,020
I have returned to the Pantanal,
the biggest wetland on the planet,
941
01:00:30,020 --> 01:00:32,980
and the stronghold
of the Brazilian jaguar.
942
01:00:36,860 --> 01:00:40,860
Home to the world's largest
population of caiman, anaconda,
943
01:00:40,860 --> 01:00:43,940
rare parrots and the largest
rodent on Earth...
944
01:00:45,180 --> 01:00:47,460
..it's a magical ecosystem.
945
01:00:48,780 --> 01:00:51,500
This place seems pristine.
946
01:00:51,500 --> 01:00:54,260
It feels a lot like a paradise.
947
01:00:54,260 --> 01:00:56,740
But there's trouble in paradise.
948
01:00:56,740 --> 01:01:00,860
All of the animals that
live here are under threat.
949
01:01:02,660 --> 01:01:05,540
A vote 500 miles away
is going to decide
950
01:01:05,540 --> 01:01:08,580
if six new hydroelectric dams
can be built,
951
01:01:08,580 --> 01:01:11,180
slowing the Pantanal flood pulse.
952
01:01:13,540 --> 01:01:15,740
I'm here to follow that story
953
01:01:15,740 --> 01:01:19,140
and to update on a project
I reported on last year
954
01:01:19,140 --> 01:01:24,220
that is protecting jaguars by making
them worth more alive than dead.
955
01:01:25,860 --> 01:01:28,820
Bon dia. Hey, hey.
How are you? How are you?
956
01:01:28,820 --> 01:01:33,060
Good to see you. Good to see you,
it's been a long time. I can't
believe it's been a year.
957
01:01:33,060 --> 01:01:37,460
For ten years, biologist Lili Rampin
has been collaring wild jaguars
958
01:01:37,460 --> 01:01:39,820
and habituating them to vehicles.
959
01:01:41,300 --> 01:01:45,220
Last year, I saw for myself
how this ecotourism project
960
01:01:45,220 --> 01:01:47,580
has proved to be a game changer.
961
01:01:48,860 --> 01:01:51,580
Once hunted and killed
by cattle ranchers,
962
01:01:51,580 --> 01:01:54,300
jaguars are now seen as money makers
963
01:01:54,300 --> 01:01:57,500
and their presence on the land
is celebrated.
964
01:01:58,540 --> 01:02:02,060
This amount of money,
it represents more money
965
01:02:02,060 --> 01:02:06,220
than the "damage" that jaguars
cause, you know, on these farms.
966
01:02:06,220 --> 01:02:09,060
If you kill a jaguar,
you are wasting your money.
967
01:02:09,060 --> 01:02:11,660
So they understood, OK,
968
01:02:11,660 --> 01:02:14,980
I can actually make money
with this jaguar being alive.
969
01:02:16,140 --> 01:02:20,820
When this project started, people
grew up here never seeing a jaguar.
970
01:02:20,820 --> 01:02:25,780
Now, Lili can identify 40
individuals on this one ranch.
971
01:02:26,820 --> 01:02:29,300
What would happen
with Brazil's jaguars
972
01:02:29,300 --> 01:02:31,340
if you said, just leave them alone?
973
01:02:31,340 --> 01:02:33,940
Extinction.
Like, immediate extinction.
974
01:02:33,940 --> 01:02:35,780
They will just disappear
975
01:02:35,780 --> 01:02:38,300
because people will kill them
until they're gone.
976
01:02:38,300 --> 01:02:42,540
This year I'm joining Lili
to find out how her team
977
01:02:42,540 --> 01:02:47,220
are protecting the wider population
with scientific techniques
978
01:02:47,220 --> 01:02:51,180
that respond to the rapidly
changing nature of this landscape.
979
01:02:52,700 --> 01:02:57,620
One extremely helpful tool is
collars, radio collars, actually.
980
01:02:57,620 --> 01:03:01,260
During the next two weeks,
we're going to be working,
working, working,
981
01:03:01,260 --> 01:03:04,140
trying to capture the jaguars,
setting some traps
982
01:03:04,140 --> 01:03:09,260
and we study them deep, deep,
deep with great results for science.
983
01:03:10,820 --> 01:03:13,420
Much of what we think
we know about jaguars
984
01:03:13,420 --> 01:03:17,500
is actually based on data
collected from African leopards.
985
01:03:17,500 --> 01:03:21,020
Now scientists have this large,
easy to study population,
986
01:03:21,020 --> 01:03:23,980
we can start to discover
the truth about jaguars
987
01:03:23,980 --> 01:03:26,180
and how best to protect them.
988
01:03:26,180 --> 01:03:29,300
People used to believe that jaguars
don't stay up on the trees.
989
01:03:29,300 --> 01:03:31,940
They think that just
the leopards, their cousins,
990
01:03:31,940 --> 01:03:34,340
are doing this kind of behaviour
for so long.
991
01:03:34,340 --> 01:03:37,540
But they discovered that they
not only like to stay in trees,
992
01:03:37,540 --> 01:03:40,620
but they also mark the trees,
you know, as their territory.
993
01:03:40,620 --> 01:03:42,940
We can only see that and from close
994
01:03:42,940 --> 01:03:46,740
because we are right there
observing them.
995
01:03:48,340 --> 01:03:52,100
Lili has teamed up with specialist
wildlife vet Joares May
996
01:03:52,100 --> 01:03:54,380
to understand a new threat.
997
01:03:54,380 --> 01:03:56,500
We can learn a lot with this.
998
01:03:57,580 --> 01:04:01,580
They're looking for connections
between parasites found in livestock
999
01:04:01,580 --> 01:04:05,940
and diseases in jaguars
that can weaken and even kill them.
1000
01:04:08,740 --> 01:04:12,140
Links have been discovered
between falling predator numbers
1001
01:04:12,140 --> 01:04:15,460
and increases in diseases
that affect people.
1002
01:04:18,140 --> 01:04:20,660
Scientists like Joares
are scrambling
1003
01:04:20,660 --> 01:04:22,700
to understand this better.
1004
01:04:22,700 --> 01:04:25,180
But to do that, they need samples.
1005
01:04:26,540 --> 01:04:28,060
Live ones!
1006
01:04:29,100 --> 01:04:31,020
I know that sounds crazy,
1007
01:04:31,020 --> 01:04:33,580
but this is the correct way
to send to the lab,
1008
01:04:33,580 --> 01:04:35,500
so with the ticks alive.
1009
01:04:35,500 --> 01:04:39,020
Then we have more and more
information about what's going on.
1010
01:04:39,020 --> 01:04:43,020
And to collect samples,
he needs to first catch a jaguar.
1011
01:04:44,340 --> 01:04:46,300
Easier said than done.
1012
01:04:48,180 --> 01:04:50,220
Luckily, Joares has a plan...
1013
01:04:51,460 --> 01:04:53,580
..with a little help from me.
1014
01:04:53,580 --> 01:04:55,660
He's a professional!
1015
01:04:55,660 --> 01:04:57,660
May I? Yeah.
1016
01:04:57,660 --> 01:05:01,460
Joares plans to set up
humane traps on these roads
1017
01:05:01,460 --> 01:05:03,620
to capture the jaguars.
1018
01:05:03,620 --> 01:05:06,940
If the jaguar moves around,
nothing here can hurt it.
1019
01:05:06,940 --> 01:05:09,140
You can put your left hand. Really?
1020
01:05:09,140 --> 01:05:12,380
Yes. Really, really? Yes.
So I'm going to be the guinea pig.
1021
01:05:14,140 --> 01:05:17,540
And I'm going to stand on this
and tiny bit of pressure...
1022
01:05:17,540 --> 01:05:20,780
Oh, I was expecting it
to be painful.
1023
01:05:22,060 --> 01:05:23,540
There you go.
1024
01:05:24,580 --> 01:05:28,780
Next we install a sensor
that alerts the team at base camp,
1025
01:05:28,780 --> 01:05:32,220
via a radio signal,
when the trap is triggered.
1026
01:05:33,620 --> 01:05:37,380
And it just minimises the amount of
time that the jaguar's in the trap.
1027
01:05:37,380 --> 01:05:40,460
From years spent studying
jaguar behaviour,
1028
01:05:40,460 --> 01:05:44,940
Joares has learnt natural ways
to funnel jaguars towards the trap.
1029
01:05:48,740 --> 01:05:51,460
In the dead of night
that would be deafening.
1030
01:05:51,460 --> 01:05:54,620
Any prey that is around here
would hear a noise like that,
1031
01:05:54,620 --> 01:05:57,420
so the jaguar's going to want
to stick to this surface
1032
01:05:57,420 --> 01:05:59,940
that doesn't make any noise -
soft sand.
1033
01:06:01,580 --> 01:06:04,900
And it moves along here
and then the next step it takes,
1034
01:06:04,900 --> 01:06:07,300
it'll trigger the foot loop.
1035
01:06:08,860 --> 01:06:11,300
And then it can contribute
to science.
1036
01:06:12,700 --> 01:06:14,780
Because it's so hot in the day,
1037
01:06:14,780 --> 01:06:17,780
Joares only activates
the traps after dark.
1038
01:06:20,060 --> 01:06:23,060
Now, there is nothing
left to do but wait.
1039
01:06:27,020 --> 01:06:30,820
It's about 3:00am
and still no sign of a jaguar.
1040
01:06:31,820 --> 01:06:34,020
Yeah, it could be a long night.
1041
01:06:36,780 --> 01:06:39,780
One of us checks
the radio every 20 mins.
1042
01:06:41,300 --> 01:06:43,020
And then suddenly...
1043
01:06:43,940 --> 01:06:45,620
..it's all go.
1044
01:06:56,060 --> 01:06:58,740
But things are not
as they should be.
1045
01:06:58,740 --> 01:07:00,420
What is it, Lili?
1046
01:07:00,420 --> 01:07:02,380
It's a giant anteater.
1047
01:07:02,380 --> 01:07:06,020
They're going to remove it
without any drugs.
1048
01:07:07,580 --> 01:07:11,900
Giant anteaters are not aggressive,
but they can be dangerous
1049
01:07:11,900 --> 01:07:14,900
and this one
is understandably cross.
1050
01:07:14,900 --> 01:07:17,460
ANTEATER GROWLS
1051
01:07:17,460 --> 01:07:19,500
Stay back.
1052
01:07:19,500 --> 01:07:23,820
Joares wants to attempt
release without sedation,
1053
01:07:23,820 --> 01:07:26,140
but he must be careful.
1054
01:07:32,980 --> 01:07:36,260
You've got to expect
if you put a trap on a trail
1055
01:07:36,260 --> 01:07:39,380
there's going to be other creatures
moving around at night-time.
1056
01:07:39,380 --> 01:07:42,500
Anteaters can rear up
on to their hind legs
1057
01:07:42,500 --> 01:07:46,260
and slash out with
powerful four-inch claws.
1058
01:07:49,380 --> 01:07:54,660
These giant insect eaters are fully
capable of fighting off a jaguar,
1059
01:07:54,660 --> 01:07:59,020
so the team need to keep their
distance as they race to free it.
1060
01:08:05,780 --> 01:08:07,220
Sorry, fella.
1061
01:08:09,140 --> 01:08:10,980
Case of mistaken identity.
1062
01:08:13,900 --> 01:08:19,620
As it disappears into the night, our
long wait for a jaguar continues.
1063
01:08:33,780 --> 01:08:35,660
Hi, can I get a lift?
1064
01:08:35,660 --> 01:08:37,380
Thank you, thank you.
1065
01:08:38,740 --> 01:08:42,020
It's great to be back in the
hustle and bustle of Cambodia.
1066
01:08:43,460 --> 01:08:45,900
This year I'm here
to discover more
1067
01:08:45,900 --> 01:08:49,260
about Southeast Asia's
greatest river system
1068
01:08:49,260 --> 01:08:53,340
that is being drained not just
of its water, but of its sand.
1069
01:08:54,420 --> 01:08:56,500
Hearing that the Mekong River system
1070
01:08:56,500 --> 01:08:59,420
could collapse in just
three to five years
1071
01:08:59,420 --> 01:09:02,980
and seeing for myself the
devastating impact that could have,
1072
01:09:02,980 --> 01:09:05,060
it's truly sobering.
1073
01:09:07,140 --> 01:09:09,940
I'm in Phnom Penh
to meet Brian Eyler.
1074
01:09:09,940 --> 01:09:12,580
Brian has spent
the last 20 years
1075
01:09:12,580 --> 01:09:17,180
researching and engaging with local
communities from China to Vietnam,
1076
01:09:17,180 --> 01:09:21,660
to protect Southeast Asia's
longest river - the Mekong.
1077
01:09:22,620 --> 01:09:24,420
The river's a mighty system
1078
01:09:24,420 --> 01:09:27,100
that provides for tens
of millions of people.
1079
01:09:28,100 --> 01:09:31,540
It's probably not something many
of us have given much thought to...
1080
01:09:33,100 --> 01:09:38,500
..but after water, sand is the most
exploited resource in the world.
1081
01:09:41,900 --> 01:09:44,540
So this is what we're talking about,
sand mining.
1082
01:09:44,540 --> 01:09:46,540
This has actually got two pumps.
1083
01:09:46,540 --> 01:09:48,900
And actually if you
look around you can see
1084
01:09:48,900 --> 01:09:51,580
there's some boats that are
barely above water level
1085
01:09:51,580 --> 01:09:53,740
because they're so filled with sand.
1086
01:09:55,260 --> 01:10:00,500
Around the world we use 50 billion
tonnes of sand and gravel a year -
1087
01:10:00,500 --> 01:10:04,940
enough to build a colossal wall
to encircle the planet.
1088
01:10:06,300 --> 01:10:09,420
It's the key ingredient
of cement and concrete,
1089
01:10:09,420 --> 01:10:12,860
so all of our cities
and roads are built of it.
1090
01:10:13,900 --> 01:10:16,500
All of this sand comes from nature
1091
01:10:16,500 --> 01:10:19,860
and nature, as it turns out,
needs it back.
1092
01:10:21,580 --> 01:10:24,420
Eight years ago, none of these
tall buildings were here,
1093
01:10:24,420 --> 01:10:27,540
and they're all built from sand
taken out of the river.
1094
01:10:27,540 --> 01:10:30,060
And they're being built
at a very rapid pace.
1095
01:10:31,580 --> 01:10:33,780
We're extracting sand
from the Mekong
1096
01:10:33,780 --> 01:10:36,300
seven times faster
than it's replenishing.
1097
01:10:36,300 --> 01:10:38,380
So this pace can't keep up.
1098
01:10:39,460 --> 01:10:44,220
When a river is robbed of its sand
and sediment, it gets hungry,
1099
01:10:44,220 --> 01:10:47,540
and if it doesn't have it,
it's going to look for more
1100
01:10:47,540 --> 01:10:51,140
and it gets the extra
new sand from banks.
1101
01:10:51,140 --> 01:10:55,900
River banks are collapsing, homes
are falling into the river as well,
1102
01:10:55,900 --> 01:10:58,540
so we're paying the price for this.
1103
01:11:01,020 --> 01:11:05,220
The impact of sand mining is being
felt hundreds of miles away.
1104
01:11:06,580 --> 01:11:10,060
Historically, the flood pulse
of this river sends water
1105
01:11:10,060 --> 01:11:14,260
surging into one of the world's
largest freshwater fisheries,
1106
01:11:14,260 --> 01:11:16,180
the Tonle Sap lake.
1107
01:11:16,180 --> 01:11:20,660
It's capable of providing half a
million tonnes of fresh fish a year.
1108
01:11:21,900 --> 01:11:25,820
By taking sand out at the bottom,
the river level drops.
1109
01:11:25,820 --> 01:11:28,700
So it's going to take much
more energy and water
1110
01:11:28,700 --> 01:11:31,900
to cast that water up
into the Tonle Sap,
1111
01:11:31,900 --> 01:11:35,620
which feeds the fishery, which
then feeds the people of Cambodia.
1112
01:11:36,980 --> 01:11:40,460
Traditional fishermen,
like Mr Leur who I met last year,
1113
01:11:40,460 --> 01:11:42,980
depend on the Tonle Sap floods.
1114
01:11:44,460 --> 01:11:48,100
They were having to search
for alternative sources of protein,
1115
01:11:48,100 --> 01:11:50,460
like snake, to feed their families.
1116
01:11:52,780 --> 01:11:56,580
The Tonle Sap fishery
provides roughly 75%
1117
01:11:56,580 --> 01:12:00,180
of all the protein
eaten by Cambodians.
1118
01:12:00,180 --> 01:12:04,020
Its collapse would be devastating
and dangerous.
1119
01:12:05,380 --> 01:12:09,820
The impact of that is so real, not
on the medium term and long term,
it's on the here and now.
1120
01:12:09,820 --> 01:12:13,140
You're coming across communities who
are facing that on a daily basis.
1121
01:12:13,140 --> 01:12:15,340
Yes. The scale that could
play out here is huge.
1122
01:12:15,340 --> 01:12:17,940
It's at the country level.
It's at the region level.
1123
01:12:21,260 --> 01:12:26,300
If sand mining continues unchecked,
on top of irrigation and damming,
1124
01:12:26,300 --> 01:12:32,220
the impact on this system could be
the final straw for the Tonle Sap.
1125
01:12:34,940 --> 01:12:37,380
Are there solutions
that will solve this?
1126
01:12:37,380 --> 01:12:40,100
There are ways to bring
this breakdown
1127
01:12:40,100 --> 01:12:42,660
that's happening here under control.
1128
01:12:42,660 --> 01:12:45,380
Researchers from
Newcastle University
1129
01:12:45,380 --> 01:12:48,380
have been using scanning technology
1130
01:12:48,380 --> 01:12:51,820
to track changes on the riverbed
over time.
1131
01:12:51,820 --> 01:12:55,020
These dots are craters?
Correct. Ten years ago.
1132
01:12:55,020 --> 01:12:58,060
Here you see these beautiful
sand dunes, you know,
1133
01:12:58,060 --> 01:13:01,300
like you would see along the ocean,
except they're under the river,
1134
01:13:01,300 --> 01:13:03,500
and now they're gone.
1135
01:13:03,500 --> 01:13:07,900
Where towering dunes once stood,
now gigantic craters,
1136
01:13:07,900 --> 01:13:12,300
eight metres deep and 70 metres
wide, scar the riverbed.
1137
01:13:13,460 --> 01:13:17,420
This is so alarming, that's just
a completely different surface.
1138
01:13:17,420 --> 01:13:19,780
But also, this technology allows us
1139
01:13:19,780 --> 01:13:22,420
to measure how much sand
is being removed.
1140
01:13:22,420 --> 01:13:26,180
So now that we can see it,
it's possible to bring transparency
1141
01:13:26,180 --> 01:13:30,660
and accountability and in a way
to make this more sustainable.
1142
01:13:30,660 --> 01:13:34,620
So data, which is quite
depressing, you're saying,
1143
01:13:34,620 --> 01:13:36,940
could actually be part
of the solution?
1144
01:13:36,940 --> 01:13:39,100
But from here, there's progress.
1145
01:13:43,740 --> 01:13:45,980
Standing here, the scale of this
1146
01:13:45,980 --> 01:13:49,220
just feels completely
and utterly overwhelming.
1147
01:13:49,220 --> 01:13:51,980
But at the same time,
you heard what Brian said.
1148
01:13:51,980 --> 01:13:54,780
The solutions are all there.
They're there.
1149
01:13:54,780 --> 01:13:58,780
And so I'm also leaving this boat
with a sense of surprising hope,
1150
01:13:58,780 --> 01:14:01,620
which I think we should
all be clinging to.
1151
01:14:05,260 --> 01:14:09,300
Sand is not the only thing missing
from Cambodia's river system.
1152
01:14:10,660 --> 01:14:14,300
I will be continuing my adventure
with an action-packed journey
1153
01:14:14,300 --> 01:14:17,940
into the jungle to join a team
putting something back.
1154
01:14:26,540 --> 01:14:29,540
While the team wait
for a jaguar encounter,
1155
01:14:29,540 --> 01:14:34,020
I want to find out about the threats
facing this magnificent animal.
1156
01:14:38,540 --> 01:14:41,820
In Brazil, jaguars
across the Pantanal
1157
01:14:41,820 --> 01:14:44,820
are recorded as being
vulnerable to extinction.
1158
01:14:47,700 --> 01:14:49,980
Now, there's a new proposal
1159
01:14:49,980 --> 01:14:53,780
that may cause this entire ecosystem
to vanish.
1160
01:14:56,900 --> 01:14:58,700
And the jaguars with it.
1161
01:15:00,620 --> 01:15:02,740
And this man, Gustavo Figueiroa,
1162
01:15:02,740 --> 01:15:05,700
a biologist and director
of SOS Pantanal,
1163
01:15:05,700 --> 01:15:08,980
has been fighting it
every step of the way.
1164
01:15:08,980 --> 01:15:12,260
Thank you. Welcome.
Are we good to go? Yes.
1165
01:15:12,260 --> 01:15:15,820
Welcome to the most magical place
on Earth. Ah, it's amazing.
1166
01:15:26,980 --> 01:15:29,340
There just seems to be
life everywhere -
1167
01:15:29,340 --> 01:15:32,020
in the trees, on the banks,
in the water.
1168
01:15:32,020 --> 01:15:34,620
It's exactly why they say
Pantanal means life.
1169
01:15:34,620 --> 01:15:36,620
There's life everywhere you look.
1170
01:15:38,660 --> 01:15:42,860
Pantanal holds the highest
concentration of jaguars,
1171
01:15:42,860 --> 01:15:46,300
giant otters and hyacinth macaws
in the world.
1172
01:15:48,700 --> 01:15:52,180
It's a wildlife sanctuary here.
That's why it's so important.
1173
01:15:54,860 --> 01:15:57,180
This water world is under threat,
1174
01:15:57,180 --> 01:16:00,540
because 500 miles away
in Cuiaba city,
1175
01:16:00,540 --> 01:16:04,060
politicians are voting
whether or not to allow
1176
01:16:04,060 --> 01:16:07,580
a series of six new
hydroelectric dams to be built.
1177
01:16:09,780 --> 01:16:12,500
These will crisscross
the Cuiaba River
1178
01:16:12,500 --> 01:16:17,460
and block unimaginable quantities of
water from reaching this ecosystem.
1179
01:16:19,140 --> 01:16:23,060
They are building and they are
allowing more dams to be built
1180
01:16:23,060 --> 01:16:25,340
and this blocks the water flow.
1181
01:16:25,340 --> 01:16:27,620
50 years ago, the building of dams
1182
01:16:27,620 --> 01:16:29,900
was seen as this
sort of amazing thing
1183
01:16:29,900 --> 01:16:32,420
and it brought prosperity,
it brought jobs.
1184
01:16:33,900 --> 01:16:39,580
Brazil's population is set to rise
to almost 230 million people,
1185
01:16:39,580 --> 01:16:42,980
so they're going to need
a lot more power
1186
01:16:42,980 --> 01:16:47,500
and, for many,
hydroelectricity is the answer.
1187
01:16:49,340 --> 01:16:52,580
This country has the perfect
geography for it.
1188
01:16:52,580 --> 01:16:55,820
Elevation changes, mighty rivers...
1189
01:16:56,980 --> 01:16:59,340
..and historically heavy rainfall.
1190
01:17:01,740 --> 01:17:04,900
Hydroelectricity can be
considered green
1191
01:17:04,900 --> 01:17:08,620
because no fuels are burned
and no direct emissions released.
1192
01:17:09,820 --> 01:17:13,380
It already accounts
for two-thirds of Brazil's power,
1193
01:17:13,380 --> 01:17:16,060
making them far less reliant
on fossil fuels
1194
01:17:16,060 --> 01:17:17,940
than many other countries.
1195
01:17:19,340 --> 01:17:23,980
But we are seeing that manipulating
the natural flow of water
1196
01:17:23,980 --> 01:17:27,540
can have a different kind
of environmental impact.
1197
01:17:33,340 --> 01:17:36,820
To show me how vital water is
in this landscape,
1198
01:17:36,820 --> 01:17:40,980
Gustavo takes me to an area
that's dry not because of dams,
1199
01:17:40,980 --> 01:17:43,460
but because of reduced rainfall.
1200
01:17:44,500 --> 01:17:47,100
As you listen out,
you can't hear any birds,
1201
01:17:47,100 --> 01:17:49,300
you can't hear any insects.
1202
01:17:49,300 --> 01:17:52,820
And if you compare that down to
where the lakes and the rivers are,
1203
01:17:52,820 --> 01:17:55,100
there's life everywhere -
on every leaf,
1204
01:17:55,100 --> 01:17:58,260
on every sort of patch of ground,
and in the water as well.
1205
01:17:58,260 --> 01:17:59,740
Exactly.
1206
01:17:59,740 --> 01:18:02,340
You're pinning all of your
hopes and dreams
1207
01:18:02,340 --> 01:18:04,620
on these dams not being approved.
1208
01:18:04,620 --> 01:18:07,700
Have you prepared yourself
emotionally and mentally
1209
01:18:07,700 --> 01:18:09,980
for the event they may go ahead?
1210
01:18:11,420 --> 01:18:15,100
No. Erm... It's not an option
for me to believe that.
1211
01:18:15,100 --> 01:18:17,140
It will get drier.
1212
01:18:17,140 --> 01:18:20,140
There's going to be less water
entering the system
1213
01:18:20,140 --> 01:18:23,700
and less fish reproduction,
less animals feeding on the fish
1214
01:18:23,700 --> 01:18:27,620
and less fish being caught by local
fishermen, people who depends on it.
1215
01:18:27,620 --> 01:18:31,660
So basically, you're going to see
this multiply all over Pantanal.
1216
01:18:31,660 --> 01:18:34,180
So the vote is tomorrow morning?
1217
01:18:34,180 --> 01:18:37,420
Tomorrow morning. OK.
Call me as soon as you hear.
1218
01:18:38,740 --> 01:18:40,860
Gustavo is passionate in his belief
1219
01:18:40,860 --> 01:18:43,420
that campaigning against
dam construction
1220
01:18:43,420 --> 01:18:46,820
is essential if we are
to hang on to caiman, otters,
1221
01:18:46,820 --> 01:18:49,300
macaws and of course, jaguars.
1222
01:18:50,580 --> 01:18:53,540
If the water is lost,
then all of Lili's work,
1223
01:18:53,540 --> 01:18:56,860
all the patchwork conservation
projects taking place
1224
01:18:56,860 --> 01:18:59,500
across the Pantanal
will mean nothing.
1225
01:19:04,420 --> 01:19:07,820
With time running out
and still no jaguars in the trap,
1226
01:19:07,820 --> 01:19:10,500
the capture team are tense.
1227
01:19:10,500 --> 01:19:12,740
But then Joares, the vet,
1228
01:19:12,740 --> 01:19:17,900
sees an opportunity to use a
different technique - free darting.
1229
01:19:17,900 --> 01:19:20,900
Just got the call that there is
a jaguar that's been spotted
1230
01:19:20,900 --> 01:19:23,100
and we're on our way there.
1231
01:19:27,420 --> 01:19:29,660
We've got a bit of an unusual,
1232
01:19:29,660 --> 01:19:33,020
but almost perfect scenario
here with this jaguar.
1233
01:19:33,020 --> 01:19:35,580
When it's hot,
jaguars like to find shade
1234
01:19:35,580 --> 01:19:39,780
and this particular female has
found shade in this culvert pipe.
1235
01:19:40,820 --> 01:19:43,180
And it's given Joares
an opportunity
1236
01:19:43,180 --> 01:19:47,260
without any branches,
any foliage in front of the jaguar.
1237
01:19:47,260 --> 01:19:49,700
He's going to get
a clear shot of her.
1238
01:19:54,100 --> 01:19:57,620
The dart's in. Now the team
have less than an hour to work.
1239
01:19:59,740 --> 01:20:02,060
Joares crawls into the pipe
1240
01:20:02,060 --> 01:20:05,940
to pull out what he hopes
is a sleeping jaguar.
1241
01:20:07,020 --> 01:20:08,820
Oh, she's big.
1242
01:20:08,820 --> 01:20:10,700
She's huge.
1243
01:20:10,700 --> 01:20:13,020
The team snap into action.
1244
01:20:13,020 --> 01:20:14,740
Happy, happy?
1245
01:20:14,740 --> 01:20:16,980
There's no room for mistakes here.
1246
01:20:20,580 --> 01:20:23,140
Once out of the storm drain,
1247
01:20:23,140 --> 01:20:26,940
Joares can see that this
is actually a young male.
1248
01:20:29,100 --> 01:20:31,700
First on is the radio collar.
1249
01:20:31,700 --> 01:20:33,620
In a few days' time,
1250
01:20:33,620 --> 01:20:36,740
the team can begin the meticulously
slow habituation process.
1251
01:20:36,740 --> 01:20:39,740
Pulse gone down. What did
she just say, two and half?
1252
01:20:39,740 --> 01:20:41,740
Two and a half years old. Amazing.
1253
01:20:43,180 --> 01:20:47,220
So it's not just about, you know,
fitting the satellite collar,
1254
01:20:47,220 --> 01:20:50,260
that's just part of the data
as far as parasite load,
1255
01:20:50,260 --> 01:20:54,460
the number of ticks, the weight, the
measurement, the size of its paws.
1256
01:20:54,460 --> 01:20:57,340
It's just using these
opportunities to find out
1257
01:20:57,340 --> 01:21:00,460
as much as possible
about these animals.
1258
01:21:00,460 --> 01:21:03,220
Healthy, healthy.
Very sharp as well.
1259
01:21:03,220 --> 01:21:07,500
Blood samples will be examined
in the lab for blood-borne diseases.
1260
01:21:11,540 --> 01:21:15,860
He weighs over 110 kilos
and with no handles,
1261
01:21:15,860 --> 01:21:19,660
it's hard to get purchase
on such a massive dead weight.
1262
01:21:24,460 --> 01:21:26,420
He starts to stir.
1263
01:21:26,420 --> 01:21:30,900
The team up the pace, keeping
a watchful eye at all times.
1264
01:21:30,900 --> 01:21:33,540
There's some fairly deep wounds
on this jaguar,
1265
01:21:33,540 --> 01:21:35,900
so there's been flies
that have been coming
1266
01:21:35,900 --> 01:21:38,180
and laying their eggs
in those wounds.
1267
01:21:38,180 --> 01:21:40,820
Lili discovers
they're full of maggots.
1268
01:21:41,940 --> 01:21:46,940
Bot fly and screwworm are parasites
usually found on cattle and dogs.
1269
01:21:48,340 --> 01:21:51,540
But, as the wild shrinks
and the world warms,
1270
01:21:51,540 --> 01:21:54,060
there's an increasing
threat of diseases
1271
01:21:54,060 --> 01:21:57,700
from domestic animals
spilling over into wild ones.
1272
01:21:57,700 --> 01:22:00,340
I'm cleaning the wound.
It's full of maggots.
1273
01:22:00,340 --> 01:22:03,780
So I'm cleaning,
first of all to collect samples
1274
01:22:03,780 --> 01:22:06,060
and secondly to help him.
1275
01:22:07,860 --> 01:22:11,460
These are the kind of wounds that
in a human being, it would kill you.
1276
01:22:11,460 --> 01:22:13,820
It would get infected
and you'd die from it.
1277
01:22:13,820 --> 01:22:15,820
But jaguars are amazingly resilient
1278
01:22:15,820 --> 01:22:18,180
and can cope with these
horrific injuries.
1279
01:22:18,180 --> 01:22:21,340
Joares and Lili collect
every blood-sucking tick
1280
01:22:21,340 --> 01:22:25,660
and each flesh-eating maggot from
the jaguar so they can be studied.
1281
01:22:26,700 --> 01:22:28,780
At least Joares will be happy.
1282
01:22:28,780 --> 01:22:31,420
He can add them
to his parasite collection.
1283
01:22:31,420 --> 01:22:33,220
OK, step back, people.
1284
01:22:33,220 --> 01:22:35,020
He's coming round fast now.
1285
01:22:44,260 --> 01:22:46,100
OK, everything was fine.
1286
01:22:46,100 --> 01:22:49,140
We could collect all the samples,
we did the measurements,
1287
01:22:49,140 --> 01:22:52,340
we set the radio collar
and for now everything is OK.
1288
01:22:56,300 --> 01:22:59,660
This jaguar can now tell us
so much about its life -
1289
01:22:59,660 --> 01:23:04,780
where it goes, how it lives,
what it needs to survive.
1290
01:23:04,780 --> 01:23:07,820
Every single jaguar is valuable,
1291
01:23:07,820 --> 01:23:10,980
but what we can learn
from these jaguars
1292
01:23:10,980 --> 01:23:14,100
that are now being studied,
that is... That's invaluable.
1293
01:23:15,620 --> 01:23:18,260
We draw back,
watching from a distance
1294
01:23:18,260 --> 01:23:21,660
as the jaguar sleeps it off
in the evening sun.
1295
01:23:26,980 --> 01:23:31,260
All of this work and potential
insight becomes irrelevant
1296
01:23:31,260 --> 01:23:33,820
if the Pantanal isn't protected.
1297
01:23:33,820 --> 01:23:35,940
MOBILE PHONE RINGS
1298
01:23:35,940 --> 01:23:37,780
Right, here we go.
1299
01:23:37,780 --> 01:23:41,100
The outcome of the vote
is all anyone can think about.
1300
01:23:43,460 --> 01:23:46,580
Gustavo. Hello, Gordon.
How you doing?
1301
01:23:46,580 --> 01:23:49,180
I'm really fine, because we won it.
1302
01:23:49,180 --> 01:23:53,300
We needed 13 votes to put it down
and we had 20.
1303
01:23:53,300 --> 01:23:56,180
So it was a huge victory
and I'm very happy
1304
01:23:56,180 --> 01:23:58,900
because it's going to be
a mark for our struggle
1305
01:23:58,900 --> 01:24:00,780
on the defence of this biome.
1306
01:24:00,780 --> 01:24:04,460
We made it. We made it, my friend.
You must be emotionally exhausted.
1307
01:24:04,460 --> 01:24:05,820
Yeah.
1308
01:24:05,820 --> 01:24:08,820
Emotionally and physically.
I haven't slept well.
1309
01:24:08,820 --> 01:24:10,820
I just want to go home now.
1310
01:24:10,820 --> 01:24:12,580
Mission accomplished.
1311
01:24:12,580 --> 01:24:14,540
Take care. Take care, Gordon.
1312
01:24:20,540 --> 01:24:23,980
So this is two years in a row that
I've returned to the Pantanal,
1313
01:24:23,980 --> 01:24:27,340
but I think you could return here
every single year of your life
1314
01:24:27,340 --> 01:24:29,260
and keep learning about it.
1315
01:24:30,260 --> 01:24:32,780
I've seen how imaginative projects
1316
01:24:32,780 --> 01:24:35,820
like habituation
and parasite monitoring
1317
01:24:35,820 --> 01:24:39,540
are key to saving these jaguars
and their habitat.
1318
01:24:42,140 --> 01:24:46,860
But more is needed to conserve
this vast and complex ecosystem.
1319
01:24:46,860 --> 01:24:51,780
The Pantanal's long-term future
is in the hands of politicians
1320
01:24:51,780 --> 01:24:54,420
and the people that elect them.
1321
01:25:05,900 --> 01:25:08,420
One sounds like
they're toiling away.
1322
01:25:08,420 --> 01:25:11,420
Ah, man. It's so good
to see you, brother.
1323
01:25:11,420 --> 01:25:15,100
Last year, whilst in Kenya,
I met baby elephants
1324
01:25:15,100 --> 01:25:18,260
who had been orphaned by
the bleak drought conditions
1325
01:25:18,260 --> 01:25:21,940
and rescued in the nick of time
by the Sheldrick Trust.
1326
01:25:24,540 --> 01:25:26,700
The terrain is rough,
1327
01:25:26,700 --> 01:25:30,500
but it's worth it to be here
for the first meal of the day.
1328
01:25:33,020 --> 01:25:35,620
Breakfast with Ade
and the elephant.
1329
01:25:37,220 --> 01:25:40,020
I'm trying to have a conversation
whilst I'm being...
1330
01:25:40,020 --> 01:25:42,500
Whilst I'm being almost eaten!
1331
01:25:45,740 --> 01:25:48,380
Talk to me about the numbers,
Julius.
1332
01:25:48,380 --> 01:25:51,580
How do the numbers of elephants
you have here now
1333
01:25:51,580 --> 01:25:53,820
compare to when I was here last?
1334
01:25:53,820 --> 01:25:57,300
The numbers have risen so fast.
1335
01:25:57,300 --> 01:26:00,100
Last time, I think
when you were here
1336
01:26:00,100 --> 01:26:03,580
we had something like
18 or 17 elephants.
1337
01:26:03,580 --> 01:26:07,700
Now we are talking of about
30 elephants in the nursery.
1338
01:26:07,700 --> 01:26:10,660
So it's almost double?
It's almost double.
1339
01:26:10,660 --> 01:26:13,660
Who knows, the number
might still be going up.
1340
01:26:15,420 --> 01:26:17,260
And there's a curveball.
1341
01:26:18,820 --> 01:26:22,580
Elephants and people are now
coming into violent conflict
1342
01:26:22,580 --> 01:26:24,660
over shrinking resources.
1343
01:26:26,660 --> 01:26:30,860
Physical fights over food
and water between people with guns
1344
01:26:30,860 --> 01:26:33,820
and five tonnes of desperation.
1345
01:26:38,300 --> 01:26:41,820
I'm joining a community
at the centre of the conflict.
1346
01:26:43,740 --> 01:26:46,220
On our journey to the village
of Sagalla,
1347
01:26:46,220 --> 01:26:48,820
I learn that you don't
actually need to go far
1348
01:26:48,820 --> 01:26:52,340
to meet someone that has experienced
conflict with elephants.
1349
01:26:52,340 --> 01:26:54,780
Your cousin was killed
by an elephant? Yeah.
1350
01:26:54,780 --> 01:26:56,900
He was killed by an elephant.
1351
01:26:56,900 --> 01:26:58,860
He died because of blood,
1352
01:26:58,860 --> 01:27:02,460
he was hit be an elephant
and then unfortunately, we lost him.
1353
01:27:02,460 --> 01:27:05,140
I'm sorry, man. I'm sorry.
1354
01:27:05,140 --> 01:27:08,140
John is a Maasai warrior
from the north of Kenya
1355
01:27:08,140 --> 01:27:10,380
and part of our film crew.
1356
01:27:13,140 --> 01:27:16,980
So you've always lived with the
animals and never had any problems?
1357
01:27:16,980 --> 01:27:19,020
Never had any problem.
1358
01:27:19,020 --> 01:27:21,860
But now because of climate change,
because of the drought,
1359
01:27:21,860 --> 01:27:24,540
it's forcing you
to go into conflict.
1360
01:27:24,540 --> 01:27:26,540
They need to eat, we need to eat,
1361
01:27:26,540 --> 01:27:28,940
and now we have to fight
because of that.
1362
01:27:32,420 --> 01:27:35,820
That took me by surprise,
hearing John's story,
1363
01:27:35,820 --> 01:27:39,180
but I guess I feel
quite naive now...
1364
01:27:40,140 --> 01:27:43,060
..because of course climate change
1365
01:27:43,060 --> 01:27:46,420
and of course the drought
is going to affect everybody.
1366
01:27:46,420 --> 01:27:50,540
You know, this is a country
which really relies on agriculture
1367
01:27:50,540 --> 01:27:55,260
and farmland, and climate change
is affecting all of that.
1368
01:28:07,380 --> 01:28:09,900
Now, I've come to one
of the villages,
1369
01:28:09,900 --> 01:28:13,020
which is right on the edge
of Tsavo National Park.
1370
01:28:13,020 --> 01:28:15,340
I mean, this is the front line,
1371
01:28:15,340 --> 01:28:18,540
the line between wildlife
and human life.
1372
01:28:20,300 --> 01:28:24,620
Jones and his family traditionally
grow what they need to survive.
1373
01:28:27,300 --> 01:28:30,740
When I was growing up, it was
very hard to see an elephant.
1374
01:28:30,740 --> 01:28:34,180
Yeah. We were scared of elephants
because they were not common.
1375
01:28:34,180 --> 01:28:36,740
But nowadays, they always come.
1376
01:28:38,060 --> 01:28:41,300
When was the change? When did
they start coming, do you think?
1377
01:28:41,300 --> 01:28:46,260
In 2017, that's when we
started having big numbers.
1378
01:28:46,260 --> 01:28:49,500
There was a day I counted
200 elephants in one herd.
1379
01:28:49,500 --> 01:28:53,460
Coming here? Yeah. Coming here. On
to your land? Yeah, on to my land.
1380
01:28:54,940 --> 01:28:56,460
2018...
1381
01:28:57,460 --> 01:28:59,180
..400 at a go.
1382
01:28:59,180 --> 01:29:02,340
Oh, my... Yeah, so they're
just increasing in number.
1383
01:29:04,100 --> 01:29:07,980
With little food and water left
in the neighbouring National Park,
1384
01:29:07,980 --> 01:29:11,900
the elephants have been coming
to the village in search of food.
1385
01:29:13,220 --> 01:29:16,460
My family depends on what
we are going to harvest.
1386
01:29:16,460 --> 01:29:21,300
So this for you, was literally
a life and death situation.
1387
01:29:21,300 --> 01:29:25,780
You had to stand your ground
because if you lost all your crops,
1388
01:29:25,780 --> 01:29:29,020
then your family
would not have any food?
1389
01:29:29,020 --> 01:29:32,820
But, if you attack the elephant
or try to chase the elephant away,
1390
01:29:32,820 --> 01:29:35,060
it could potentially kill you?
Exactly.
1391
01:29:38,540 --> 01:29:43,020
Someone who is acutely aware
of the need to find ingenious ways
1392
01:29:43,020 --> 01:29:47,780
of helping people to coexist
with elephants is Dr Lucy King,
1393
01:29:47,780 --> 01:29:50,580
head of the Human Elephant
Coexistence programme
1394
01:29:50,580 --> 01:29:52,620
for Save the Elephants.
1395
01:29:54,980 --> 01:29:56,980
Every one of these elephants needs
1396
01:29:56,980 --> 01:29:59,380
two or three to four hundred
kilos of food
1397
01:29:59,380 --> 01:30:02,340
and you look around you,
where are they going to get it from?
1398
01:30:02,340 --> 01:30:04,620
And the last serious drought
we had here,
1399
01:30:04,620 --> 01:30:06,860
we lost 500 elephants to starvation.
1400
01:30:06,860 --> 01:30:09,300
It's not just about the year
of the drought,
1401
01:30:09,300 --> 01:30:11,460
it's about the next
two to three years.
1402
01:30:11,460 --> 01:30:14,980
And we're not sure whether
the rains are going to come
at the end of the year.
1403
01:30:14,980 --> 01:30:18,460
If they don't come, I think we're
going to be in serious trouble.
1404
01:30:18,460 --> 01:30:21,100
That's when the rainy season
is supposed to start,
1405
01:30:21,100 --> 01:30:23,740
but the predictions are
it's not going to happen.
1406
01:30:25,100 --> 01:30:27,860
Just a few days
before I met Dr King,
1407
01:30:27,860 --> 01:30:31,180
humanitarian agencies
published an alert warning
1408
01:30:31,180 --> 01:30:35,500
that there was a genuine risk
that the 2022 late rainy season
1409
01:30:35,500 --> 01:30:37,340
could also fail.
1410
01:30:39,620 --> 01:30:42,580
That actually makes me go cold,
because if that's true,
1411
01:30:42,580 --> 01:30:45,140
I really don't know
what we're going to do.
1412
01:30:46,580 --> 01:30:49,860
We have hundreds and hundreds
of people living next to the park
1413
01:30:49,860 --> 01:30:52,660
who we work with, who haven't
got a bean to eat right now,
1414
01:30:52,660 --> 01:30:54,900
and they're all planning
on the rains.
1415
01:30:54,900 --> 01:30:58,580
So if those rains don't come,
these elephants won't
have anything to eat
1416
01:30:58,580 --> 01:31:00,620
and they're going to go
into the farms
1417
01:31:00,620 --> 01:31:05,220
and they're going to start to find
food in houses and in schools
and in people's properties,
1418
01:31:05,220 --> 01:31:09,580
and we're going to have an
escalation of human-elephant
conflict like we've not seen before.
1419
01:31:09,580 --> 01:31:12,020
And that's the moment
which we're all dreading,
1420
01:31:12,020 --> 01:31:14,660
is the final break point
where there is no food for anyone.
1421
01:31:15,740 --> 01:31:20,420
This is a complex problem
involving both elephants and humans.
1422
01:31:20,420 --> 01:31:23,820
The question is,
is there a solution?
1423
01:31:32,500 --> 01:31:35,300
I am continuing
my Cambodian adventure
1424
01:31:35,300 --> 01:31:39,020
by journeying deep
into the Cardamom rainforest
1425
01:31:39,020 --> 01:31:41,980
to meet one of its rarest creatures.
1426
01:31:43,220 --> 01:31:45,900
For three decades
the Siamese crocodile,
1427
01:31:45,900 --> 01:31:48,900
once a key player
in the Mekong River system,
1428
01:31:48,900 --> 01:31:51,220
was believed extinct in the wild.
1429
01:31:52,500 --> 01:31:55,940
Then, a miracle population
was discovered,
1430
01:31:55,940 --> 01:31:58,460
and great things started happening.
1431
01:31:58,460 --> 01:32:00,740
Pablo Sinovas and the team
1432
01:32:00,740 --> 01:32:04,300
at the Siamese Crocodile
Conservation Breeding Facility
1433
01:32:04,300 --> 01:32:10,100
are about to return ten captive-
reared crocodiles to the wild.
1434
01:32:10,100 --> 01:32:14,020
Would you like to see some of the
babies? Yes, definitely. All right.
1435
01:32:14,020 --> 01:32:15,500
Bless.
1436
01:32:20,460 --> 01:32:22,900
Would you like to...
How is this your job?!
1437
01:32:22,900 --> 01:32:25,180
Would you like to hold it? Yes.
Around there.
1438
01:32:25,180 --> 01:32:28,540
Hold it so it doesn't snap. OK.
Don't bite me, please. No biting.
1439
01:32:28,540 --> 01:32:32,460
I'm basically holding
one of the rarest species on Earth,
1440
01:32:32,460 --> 01:32:35,220
and I'm holding, like,
the hope for it, right?
1441
01:32:35,220 --> 01:32:37,140
That's absolutely right, yeah.
1442
01:32:37,140 --> 01:32:39,780
This species was rediscovered
here in Cambodia
1443
01:32:39,780 --> 01:32:42,740
in a remote corner
of the Cardamom mountains.
1444
01:32:42,740 --> 01:32:46,060
Actually local people,
the indigenous people of the area
1445
01:32:46,060 --> 01:32:48,220
were protecting those populations
1446
01:32:48,220 --> 01:32:51,020
because they do consider
these guys to be sacred.
1447
01:32:51,020 --> 01:32:53,180
That was their saving grace,
1448
01:32:53,180 --> 01:32:57,220
the fact that the indigenous people
actually regarded them as sacred.
1449
01:32:57,220 --> 01:32:59,020
That's right.
1450
01:32:59,020 --> 01:33:01,540
What caused the decline
of these animals?
1451
01:33:01,540 --> 01:33:04,340
The demand for their skins,
for the leather trade,
1452
01:33:04,340 --> 01:33:08,860
and as a result they disappeared
from 99% of their former range.
1453
01:33:08,860 --> 01:33:11,340
My God. So basically,
these poor creatures
1454
01:33:11,340 --> 01:33:14,300
were about to become extinct
because of handbags and belts.
1455
01:33:14,300 --> 01:33:15,900
Yeah, basically.
1456
01:33:17,940 --> 01:33:22,220
Thankfully, the demand for crocodile
leather has reduced globally,
1457
01:33:22,220 --> 01:33:25,860
relieving pressure
on crocodiles in Cambodia.
1458
01:33:25,860 --> 01:33:31,100
But Pablo is focused
on just one species - Siamese.
1459
01:33:33,060 --> 01:33:36,300
How many crocodiles have you
actually released into the wild?
1460
01:33:36,300 --> 01:33:39,180
We've released 140 crocodiles
so far.
1461
01:33:39,180 --> 01:33:41,300
And how many are in the wild?
1462
01:33:41,300 --> 01:33:46,020
In Cambodia, there's an estimated
300 crocodiles left in the wild.
1463
01:33:46,020 --> 01:33:51,620
So you are responsible for half the
crocodiles in the wild in Cambodia.
1464
01:33:51,620 --> 01:33:53,980
So every crocodile counts.
1465
01:33:55,740 --> 01:33:58,700
The adults are fitted
with a tracking device...
1466
01:34:00,460 --> 01:34:03,540
..that will allow the team
to monitor them from space.
1467
01:34:05,180 --> 01:34:08,580
These top predators were
almost lost from Cambodia
1468
01:34:08,580 --> 01:34:11,740
before scientists
really knew they were here.
1469
01:34:11,740 --> 01:34:15,780
We've been given a second chance
to not mess it up.
1470
01:34:15,780 --> 01:34:17,700
Oh, my gosh.
1471
01:34:17,700 --> 01:34:21,420
The crocodile's mouth is taped
closed to prevent accidents.
1472
01:34:21,420 --> 01:34:23,980
Hold its head,
It can be quite strong.
1473
01:34:23,980 --> 01:34:27,380
OK. Doing it. Yes. Be careful.
Oh, my God.
1474
01:34:27,380 --> 01:34:29,620
I feel like my heart's in my mouth.
1475
01:34:32,420 --> 01:34:35,220
The vet drills through a scale
to attach the tracker.
1476
01:34:35,220 --> 01:34:37,500
This doesn't hurt the animal.
1477
01:34:37,500 --> 01:34:41,540
This is like the equivalent of
putting holes in your ears,
isn't it? Right. Yeah.
1478
01:34:44,140 --> 01:34:46,540
Once the trackers
are firmly attached,
1479
01:34:46,540 --> 01:34:49,100
the crocodiles are secured
in baskets
1480
01:34:49,100 --> 01:34:51,820
that protect them
for the journey ahead.
1481
01:34:53,220 --> 01:34:56,940
The animals are wrapped tightly
to prevent them from thrashing
1482
01:34:56,940 --> 01:35:00,740
and the baskets soaked in water
to keep them comfortable
1483
01:35:00,740 --> 01:35:03,300
until they reach their new home.
1484
01:35:03,300 --> 01:35:07,980
This might seem brutal, but I guess
it's a really small price to pay
to get back into the wild.
1485
01:35:07,980 --> 01:35:10,500
Yeah, and these are
very tough creatures.
1486
01:35:10,500 --> 01:35:14,540
Soon enough, in a few days
this crocodile will be one
of the happiest Siamese crocodiles
1487
01:35:14,540 --> 01:35:16,820
in a very pristine environment.
1488
01:35:21,700 --> 01:35:25,620
Three adults and seven young
crocodiles are fitted with tags...
1489
01:35:27,020 --> 01:35:30,380
..bundled,
and loaded onto the vehicle.
1490
01:35:30,380 --> 01:35:31,780
All right.
1491
01:35:31,780 --> 01:35:33,740
So it's been a really long day
1492
01:35:33,740 --> 01:35:36,380
and it's going to be
a long night, right?
1493
01:35:36,380 --> 01:35:39,660
It is. Yeah, it's going to be
eight hours now, driving.
1494
01:35:39,660 --> 01:35:41,940
Long night, but it will be worth it.
1495
01:35:43,540 --> 01:35:45,580
We travel through the night
1496
01:35:45,580 --> 01:35:48,660
to avoid the tropical sunshine
as much as possible.
1497
01:35:59,420 --> 01:36:02,900
Where the road ends,
the expedition has to continue...
1498
01:36:03,860 --> 01:36:05,540
..on mopeds.
1499
01:36:05,540 --> 01:36:08,940
So basically, we have
crocodiles in baskets,
1500
01:36:08,940 --> 01:36:11,300
on mopeds, travelling in convoy.
1501
01:36:12,700 --> 01:36:14,900
Didn't ever think
I would ever say that.
1502
01:36:23,980 --> 01:36:27,780
We are heading deep into the
Cardamom Mountains rainforest.
1503
01:36:29,420 --> 01:36:32,620
This time much further
than last year,
1504
01:36:32,620 --> 01:36:35,860
and the journey is not
for the faint-hearted.
1505
01:36:37,260 --> 01:36:39,540
But the effort is well worth it.
1506
01:36:39,540 --> 01:36:44,740
In 2022, Pablo and his team
oversaw the biggest ever release
1507
01:36:44,740 --> 01:36:48,020
of Siamese crocodiles
back into the wild.
1508
01:36:49,900 --> 01:36:54,380
They successfully released
35 of these precious reptiles,
1509
01:36:54,380 --> 01:36:58,820
boosting the Cambodian
population by over 10%.
1510
01:37:02,940 --> 01:37:07,100
After 24 hours travel
and a very numb bottom,
1511
01:37:07,100 --> 01:37:09,900
we arrive at the protected
release site.
1512
01:37:09,900 --> 01:37:11,540
There you go, babe.
1513
01:37:12,540 --> 01:37:16,060
Our ten crocodiles are released
into a temporary pen,
1514
01:37:16,060 --> 01:37:19,580
where they will acclimatise
to their new environment.
1515
01:37:21,180 --> 01:37:24,220
And it's finally time for me
to "acclimatise"
1516
01:37:24,220 --> 01:37:26,260
in my hammock for the night.
1517
01:37:34,460 --> 01:37:37,380
Once released, these crocodiles
will be protected
1518
01:37:37,380 --> 01:37:39,780
by the community that live here.
1519
01:37:39,780 --> 01:37:43,300
And, in return, their presence
will hopefully safeguard
1520
01:37:43,300 --> 01:37:47,060
the wider ecosystem
and the people that call it home.
1521
01:37:48,100 --> 01:37:51,260
Mr Chan is from the indigenous
Chorng community
1522
01:37:51,260 --> 01:37:54,660
and has lived in this region
for over 70 years.
1523
01:37:54,660 --> 01:37:58,460
He joined the team of wardens here
15 years ago.
1524
01:38:09,940 --> 01:38:13,100
How have things changed over
the years with crocodile numbers?
1525
01:38:44,700 --> 01:38:48,220
Mr Sam Han, a researcher
for Fauna and Flora,
1526
01:38:48,220 --> 01:38:52,140
joined Mr Chan in his
crocodile conservation efforts
1527
01:38:52,140 --> 01:38:56,500
and The Cambodian Crocodile
Conservation Project was formed.
1528
01:39:19,220 --> 01:39:24,140
The Cardamoms is one of the largest
and oldest tracts of rainforest
1529
01:39:24,140 --> 01:39:26,380
in Southeast Asia.
1530
01:39:26,380 --> 01:39:30,380
The dense vegetation, however,
makes it almost impossible
1531
01:39:30,380 --> 01:39:32,660
to see and monitor wildlife.
1532
01:39:33,860 --> 01:39:37,900
But scientists in the UK have
developed an ingenious bit of kit
1533
01:39:37,900 --> 01:39:40,100
to get around the problem.
1534
01:39:42,180 --> 01:39:45,180
This technology
is absolutely ground-breaking.
1535
01:39:45,180 --> 01:39:49,340
Using this water here, which looks
completely clear to the naked eye,
1536
01:39:49,340 --> 01:39:55,460
we're going to be able to identify
what species are in this area.
1537
01:39:55,460 --> 01:39:57,740
That is very impressive.
1538
01:39:57,740 --> 01:40:01,100
Yeah, the animals
that are in the river
1539
01:40:01,100 --> 01:40:04,940
will shed cells from their skin,
hairs etc.
1540
01:40:04,940 --> 01:40:09,380
We're collecting water samples
and forcing them through filters,
1541
01:40:09,380 --> 01:40:14,140
which trap the microscopic animal
flakes ready for lab analysis.
1542
01:40:14,140 --> 01:40:18,300
This filter is basically collecting
everything that is in the water,
1543
01:40:18,300 --> 01:40:22,940
but what we're interested in
is tiny fragments of DNA,
1544
01:40:22,940 --> 01:40:26,020
of genetic material,
that we can then use
1545
01:40:26,020 --> 01:40:29,980
to detect the species
that are present in the area.
1546
01:40:29,980 --> 01:40:34,180
So this is an incredibly
efficient way of building a picture
1547
01:40:34,180 --> 01:40:37,500
of the diversity of species
in a given area.
1548
01:40:37,500 --> 01:40:39,460
When we protect the crocodiles,
1549
01:40:39,460 --> 01:40:42,100
what we are doing is protecting
the habitat,
1550
01:40:42,100 --> 01:40:46,780
and by protecting the habitat,
we are helping ensure
1551
01:40:46,780 --> 01:40:51,460
that the entire array of species
living here actually survives.
1552
01:40:51,460 --> 01:40:54,140
It's more than just
about the crocodiles.
1553
01:40:54,140 --> 01:40:55,940
It is about, you know,
1554
01:40:55,940 --> 01:41:00,620
the biodiversity of this entire
ecosystem in the Cardamom mountains.
1555
01:41:00,620 --> 01:41:02,940
We see this pattern a lot, right?
1556
01:41:02,940 --> 01:41:08,500
Protecting a species protects
the environment around it,
and that it lives in.
1557
01:41:08,500 --> 01:41:11,900
And I guess actually
that's what Gordon is seeing
1558
01:41:11,900 --> 01:41:13,900
in Brazil with the jaguars -
1559
01:41:13,900 --> 01:41:17,500
that by protecting them,
they're protecting the environment.
1560
01:41:17,500 --> 01:41:20,620
Exactly. It's the same thing
with Siamese crocodiles.
1561
01:41:26,020 --> 01:41:28,980
The time has finally
come for the crocodiles
1562
01:41:28,980 --> 01:41:32,620
to take their rightful
place in the forest.
1563
01:41:32,620 --> 01:41:36,860
This is so cool. The crocs have
been acclimatising for three days,
1564
01:41:36,860 --> 01:41:39,580
it's the moment we've all
been waiting for.
1565
01:41:39,580 --> 01:41:42,980
It's the moment it was bred for and
my heart is racing right now.
1566
01:41:55,300 --> 01:41:58,180
These are literally her very,
very last few seconds
1567
01:41:58,180 --> 01:42:01,180
before she is released
into the wild, before she is free.
1568
01:42:01,180 --> 01:42:03,060
It's kind of epic, right?
1569
01:42:03,060 --> 01:42:04,900
Good luck, guys.
1570
01:42:13,820 --> 01:42:15,940
Woo! Amazing! Well done!
1571
01:42:17,260 --> 01:42:18,740
Mr Han.
1572
01:42:18,740 --> 01:42:21,900
Look at his face. He's just beaming.
Oh, my God.
1573
01:42:21,900 --> 01:42:25,300
What is your hope for this crocodile
and all the other crocodiles?
1574
01:42:25,300 --> 01:42:28,580
My hope is that she will start
producing lots of eggs
1575
01:42:28,580 --> 01:42:31,540
and then that will help
boost the populations.
1576
01:42:31,540 --> 01:42:35,660
The ultimate goal would be
to have a population that is
viable in the long term.
1577
01:42:35,660 --> 01:42:38,820
We're aiming for 10,000
crocodiles in Cambodia.
1578
01:42:38,820 --> 01:42:41,700
It's an ambitious target,
but we are... We are on our way.
1579
01:42:41,700 --> 01:42:44,700
She's literally never
been in the wild before.
1580
01:42:44,700 --> 01:42:47,460
This is a completely
new environment for her.
1581
01:42:47,460 --> 01:42:49,940
It is the first time it's
swimming free in a river.
1582
01:42:49,940 --> 01:42:52,940
This is a six-year-old crocodile.
So after six years...
1583
01:42:52,940 --> 01:42:55,620
Can you imagine?
..swimming free. Oh!
1584
01:43:00,100 --> 01:43:02,380
All the crocodiles are set free.
1585
01:43:09,860 --> 01:43:16,060
Recent data suggests that half the
world's GDP is dependent on nature.
1586
01:43:16,060 --> 01:43:20,780
If an ecosystem, and ultimately
the planet, is to stand a chance,
1587
01:43:20,780 --> 01:43:23,740
then preserving its biodiversity,
1588
01:43:23,740 --> 01:43:28,460
and that means every single
bit of it, is vital.
1589
01:43:28,460 --> 01:43:33,420
The release of these ancient
creatures into their natural habitat
1590
01:43:33,420 --> 01:43:35,980
is helping to do just that.
1591
01:43:37,340 --> 01:43:39,380
What an absolute privilege.
1592
01:43:39,380 --> 01:43:44,780
In 1999, people thought
that the Siamese crocodile
was effectively extinct
1593
01:43:44,780 --> 01:43:50,580
and I just got to help
release one, two, three, ten.
1594
01:43:52,140 --> 01:43:55,740
And the truth is, absolutely
none of it would have been possible
1595
01:43:55,740 --> 01:43:58,060
without these incredible
scientists
1596
01:43:58,060 --> 01:44:00,500
and without this incredible
local community.
1597
01:44:02,020 --> 01:44:04,420
The pressure on natural resources
1598
01:44:04,420 --> 01:44:07,260
across Southeast Asia
continues to build.
1599
01:44:07,260 --> 01:44:09,420
Ecosystems are collapsing
1600
01:44:09,420 --> 01:44:12,780
and species teetering
on the brink of extinction.
1601
01:44:12,780 --> 01:44:16,860
But it is no longer
happening behind closed doors.
1602
01:44:16,860 --> 01:44:21,100
Thanks to communities like this one,
expert scientists,
1603
01:44:21,100 --> 01:44:24,940
and emerging technology,
our eyes are open.
1604
01:44:24,940 --> 01:44:29,500
The world is watching and we're
starting to see ripples of action
1605
01:44:29,500 --> 01:44:34,060
that I hope, over the coming years,
will become a flood of change.
1606
01:44:45,460 --> 01:44:48,340
I'm shocked to find out that,
here in Kenya,
1607
01:44:48,340 --> 01:44:50,580
such a beautiful country,
1608
01:44:50,580 --> 01:44:53,540
the relationship
between people and elephants
1609
01:44:53,540 --> 01:44:55,820
is being destroyed by drought.
1610
01:44:55,820 --> 01:44:59,020
We're in a really desperate
situation, not just in Tsavo,
1611
01:44:59,020 --> 01:45:01,740
but in the rest of Kenya
at the moment.
1612
01:45:01,740 --> 01:45:05,340
Lucy tells me how the situation
has reached breaking point.
1613
01:45:06,700 --> 01:45:09,900
When I first came here in 2009,
the conflict was there,
1614
01:45:09,900 --> 01:45:12,260
but it wasn't catastrophic.
1615
01:45:12,260 --> 01:45:15,420
Now, we're just seeing such
an increased level of conflict
1616
01:45:15,420 --> 01:45:17,580
that's becoming lethal.
1617
01:45:17,580 --> 01:45:19,660
If it's this bad now,
1618
01:45:19,660 --> 01:45:23,580
what happens if it doesn't rain for
another year or another ten years?
1619
01:45:23,580 --> 01:45:26,940
When you say "lethal"
and "catastrophic",
1620
01:45:26,940 --> 01:45:29,980
I mean they're big words,
what do you mean?
1621
01:45:29,980 --> 01:45:32,100
Really meaning lethal
for both sides.
1622
01:45:32,100 --> 01:45:34,180
It can certainly be lethal
for elephants
1623
01:45:34,180 --> 01:45:36,500
because communities can be
throwing stones,
1624
01:45:36,500 --> 01:45:39,300
throwing fire, they can shoot them
with bows and arrows.
1625
01:45:39,300 --> 01:45:42,540
But of course,
it can really be lethal for people.
1626
01:45:42,540 --> 01:45:46,180
One lady who we knew just came
out of her house one morning
1627
01:45:46,180 --> 01:45:50,380
and just got picked up by an
elephant and slammed against
the house and her neck was broken.
1628
01:45:50,380 --> 01:45:53,500
Oh... Oh, my.
Yeah, so really lethal.
1629
01:45:53,500 --> 01:45:56,220
And we've also had elephants
killed in the farms,
1630
01:45:56,220 --> 01:45:59,020
and not for tusks, you know,
not for poaching.
1631
01:45:59,020 --> 01:46:00,900
That's not the issue.
1632
01:46:00,900 --> 01:46:03,580
The issue is people don't want
elephants in their farms.
1633
01:46:03,580 --> 01:46:06,940
Traditionally, you had a level
of tolerance in the communities
1634
01:46:06,940 --> 01:46:09,340
and certainly a cultural respect
for elephants,
1635
01:46:09,340 --> 01:46:11,420
which was very strong in Kenya.
1636
01:46:11,420 --> 01:46:14,060
That starts to erode very fast
when kids are killed
1637
01:46:14,060 --> 01:46:17,820
or an old lady is, you know,
killed in her house, in her doorway.
1638
01:46:24,660 --> 01:46:29,260
For 16 years, Lucy has been studying
and protecting elephants here.
1639
01:46:29,260 --> 01:46:31,460
But the focus is changing.
1640
01:46:32,540 --> 01:46:34,940
As human-elephant conflict
escalates,
1641
01:46:34,940 --> 01:46:39,060
Lucy knows we need to protect
people in order to save elephants.
1642
01:46:48,860 --> 01:46:51,860
Food insecurity
is elephant insecurity,
1643
01:46:51,860 --> 01:46:53,940
they are absolutely tied together.
1644
01:46:53,940 --> 01:46:57,260
Communities and elephants,
they coexist,
1645
01:46:57,260 --> 01:46:59,460
and they fall or die together.
1646
01:47:03,500 --> 01:47:05,260
How are you? Fine.
1647
01:47:05,260 --> 01:47:08,420
Using elephant biology
and behavioural science,
1648
01:47:08,420 --> 01:47:13,060
Lucy creates tools for repelling
elephants and reducing conflict.
1649
01:47:14,900 --> 01:47:18,500
People need real solutions,
but they also have to be affordable.
1650
01:47:18,500 --> 01:47:22,620
So, it's all very well saying,
"Let's put up an electric
fence around every farm."
1651
01:47:22,620 --> 01:47:25,940
It's just not practical. It's
not realistic. It's too expensive.
1652
01:47:25,940 --> 01:47:29,220
And it'll use up
a lot of energy as well.
And it uses up a lot of energy.
1653
01:47:29,220 --> 01:47:32,820
So, I'm much more interested
in holistic approaches
to this challenge.
1654
01:47:34,860 --> 01:47:36,940
Lucy made a discovery
1655
01:47:36,940 --> 01:47:40,620
that changed her entire approach
to mitigating conflict.
1656
01:47:41,620 --> 01:47:43,540
Nature offers solutions.
1657
01:47:45,220 --> 01:47:49,220
We found out that elephants
were running away from bees.
1658
01:47:51,020 --> 01:47:53,180
They were scared of being stung,
1659
01:47:53,180 --> 01:47:56,420
and they wouldn't forage in trees
which had beehives in.
1660
01:47:56,420 --> 01:48:00,220
So those trees were being naturally
protected against elephant foraging.
1661
01:48:00,220 --> 01:48:03,660
So we took that natural idea and I
turned that into this beehive fence,
1662
01:48:03,660 --> 01:48:05,900
which is a practical application -
1663
01:48:05,900 --> 01:48:08,620
keeping elephants
out of smallholder farms
1664
01:48:08,620 --> 01:48:11,020
using their natural fear of bees.
1665
01:48:13,900 --> 01:48:18,380
Lucy helps farmers like Charity
install beehive fences.
1666
01:48:18,380 --> 01:48:22,860
They protect her crops and provide
her with honey that she can sell.
1667
01:48:25,940 --> 01:48:28,260
How effective is it?
1668
01:48:28,260 --> 01:48:31,820
We've studied this for a long time
now in many sites around Africa
1669
01:48:31,820 --> 01:48:35,700
and our core study site here,
it's around 80% effective.
1670
01:48:35,700 --> 01:48:37,820
And that extra 20%... 80%?
1671
01:48:37,820 --> 01:48:39,860
Yeah, I know. 80%. I mean, think...
1672
01:48:39,860 --> 01:48:42,620
I mean that's
really, really effective.
1673
01:48:42,620 --> 01:48:46,500
As a result,
the fences are very popular.
1674
01:48:46,500 --> 01:48:50,740
So far, more than 11,000 hives
have been installed.
1675
01:48:50,740 --> 01:48:53,940
But there's now a problem
with this brilliant fix.
1676
01:48:55,660 --> 01:48:58,020
If you don't have good
floral diversity,
1677
01:48:58,020 --> 01:49:00,300
the bees don't have
anything to feed on
1678
01:49:00,300 --> 01:49:02,700
and of course floral diversity
comes with rain.
1679
01:49:02,700 --> 01:49:05,940
Oh, yeah. So we're back
to that old challenge again.
1680
01:49:05,940 --> 01:49:08,980
So now, so many of our beehives
are empty.
1681
01:49:12,100 --> 01:49:14,780
Lucy and the team
at Save the Elephants
1682
01:49:14,780 --> 01:49:17,660
have pulled together
every conceivable method
1683
01:49:17,660 --> 01:49:21,300
of deterring elephants from raiding
crops without harming them,
1684
01:49:21,300 --> 01:49:23,780
and they've created
a practical manual
1685
01:49:23,780 --> 01:49:26,580
for communities
struggling with conflict.
1686
01:49:26,580 --> 01:49:29,380
We need multiple tools,
multiple solutions,
1687
01:49:29,380 --> 01:49:31,940
and often they need to be rotated
throughout the year.
1688
01:49:31,940 --> 01:49:34,460
And we call that the tool box.
1689
01:49:34,460 --> 01:49:38,140
This "how-to" guide
is currently being distributed
1690
01:49:38,140 --> 01:49:40,900
to communities across
Africa and Asia.
1691
01:49:42,300 --> 01:49:45,860
The solutions are based in science,
they're affordable,
1692
01:49:45,860 --> 01:49:48,980
they're adaptable,
they are nonlethal...
1693
01:49:50,020 --> 01:49:52,540
..and, most importantly, they work.
1694
01:49:55,820 --> 01:49:58,020
Jones, this is the tool box.
1695
01:49:58,020 --> 01:50:00,220
Human-elephant coexistence tool
box.
1696
01:50:00,220 --> 01:50:02,860
I thought it was a metal tool
with tools inside!
1697
01:50:02,860 --> 01:50:06,820
Ah, no, no, no. So, we have one
that we call the buzz box.
1698
01:50:06,820 --> 01:50:08,940
Have you ever seen this one?
1699
01:50:08,940 --> 01:50:11,540
No, but I'm ready to learn.
1700
01:50:11,540 --> 01:50:15,140
The tool box provides
a wide range of ideas
1701
01:50:15,140 --> 01:50:19,740
so that farmers can adapt
as seasons and events change.
1702
01:50:19,740 --> 01:50:23,020
One of the tools
is a high-tech version
1703
01:50:23,020 --> 01:50:26,060
of Lucy's beehive
fence - fake bees.
1704
01:50:27,380 --> 01:50:30,100
So, this is what we call a buzz box.
1705
01:50:30,100 --> 01:50:33,660
It has a solar panel on the roof
which charges the whole unit,
1706
01:50:33,660 --> 01:50:35,700
and it sits on top of the post
1707
01:50:35,700 --> 01:50:38,620
and it has an infra-red signal
that comes out here,
1708
01:50:38,620 --> 01:50:41,940
and whatever goes in front of it,
up to about 30 foot,
1709
01:50:41,940 --> 01:50:44,460
will trigger sounds
to come out of it.
1710
01:50:44,460 --> 01:50:46,580
But the one we're using is bees.
1711
01:50:47,980 --> 01:50:50,380
The guide includes plans
for watch towers
1712
01:50:50,380 --> 01:50:53,900
that provide early warning systems
for whole communities,
1713
01:50:53,900 --> 01:50:58,260
as well as simple, home-made
deterrents based on science.
1714
01:51:00,020 --> 01:51:04,460
Elephants have extremely good
hearing, very good smell
and very poor eyesight.
1715
01:51:04,460 --> 01:51:08,460
So we're using that biology
of the elephants to come up
with new solutions.
1716
01:51:08,460 --> 01:51:10,940
What doesn't
an elephant like to smell?
1717
01:51:10,940 --> 01:51:14,700
So, they have about 40,000
muscles in their trunk,
1718
01:51:14,700 --> 01:51:16,780
full of incredible sensors.
1719
01:51:16,780 --> 01:51:19,180
They're smelling much more
than you and I are.
1720
01:51:19,180 --> 01:51:21,740
Some of the things
that they hate smelling
1721
01:51:21,740 --> 01:51:25,340
and can actually burn the inside of
their trunk a little bit is chilli.
1722
01:51:27,820 --> 01:51:31,380
Jones has started experimenting
with a new deterrent,
1723
01:51:31,380 --> 01:51:33,820
called the condom-chilli-bomb.
1724
01:51:42,300 --> 01:51:46,260
As the firecracker explodes,
it splits the condom,
and it goes poof,
1725
01:51:46,260 --> 01:51:49,580
and you get a shower of chilli
over the elephant. Oh, man.
1726
01:51:51,180 --> 01:51:54,180
It doesn't cause any long-term
harm to the elephants,
1727
01:51:54,180 --> 01:51:57,140
but it does put them off
approaching Jones' farm.
1728
01:51:58,580 --> 01:52:01,180
As well as being inspired
to try new methods,
1729
01:52:01,180 --> 01:52:04,220
Jones has recently contributed
to the tool box
1730
01:52:04,220 --> 01:52:06,340
with his own non-invasive device
1731
01:52:06,340 --> 01:52:10,300
that will be shared with
farmers across Africa and Asia.
1732
01:52:10,300 --> 01:52:12,380
LOUD CLANGING
1733
01:52:13,620 --> 01:52:15,820
Wow, that's a noisy gun!
1734
01:52:18,260 --> 01:52:20,540
We're just having
to think differently
1735
01:52:20,540 --> 01:52:23,220
about how are we going to live
with a changing climate.
1736
01:52:23,220 --> 01:52:25,620
So, I really believe
in this tool box.
1737
01:52:25,620 --> 01:52:28,740
I think it is the solution and
I think it can always be expanded.
1738
01:52:28,740 --> 01:52:30,700
It's not finite.
1739
01:52:30,700 --> 01:52:34,700
It's a completely evolving,
exciting thing that
everyone can contribute to.
1740
01:52:39,220 --> 01:52:41,500
Over the next two years,
1741
01:52:41,500 --> 01:52:45,820
the tool box will be in the hands
of thousands of subsistence farmers
1742
01:52:45,820 --> 01:52:51,540
and has already reached 167 project
partners across 40 countries.
1743
01:52:52,900 --> 01:52:56,140
The hope is that it will
save lives on both sides.
1744
01:53:02,620 --> 01:53:05,140
Keen to know if the rains
had arrived,
1745
01:53:05,140 --> 01:53:08,380
I caught up with Jones
in November 2022.
1746
01:53:08,380 --> 01:53:09,860
They hadn't.
1747
01:53:11,180 --> 01:53:13,260
But his relationship
with the elephants
1748
01:53:13,260 --> 01:53:15,100
had taken a surprising turn.
1749
01:53:17,060 --> 01:53:20,100
80% of the cattle in the village
have already died.
1750
01:53:20,100 --> 01:53:22,620
We are trying to save what we can.
1751
01:53:22,620 --> 01:53:27,260
We had to look for ways through
which we could get something
to feed the cows.
1752
01:53:27,260 --> 01:53:31,060
I discovered that elephants
were uprooting these tubers.
1753
01:53:32,180 --> 01:53:34,540
These tubers are called maduye.
1754
01:53:34,540 --> 01:53:37,580
They're thirst-quenching
and fibre-rich.
1755
01:53:37,580 --> 01:53:41,700
Elephants dig them up
when other food runs out.
1756
01:53:41,700 --> 01:53:46,620
Elephants are my neighbours, so
we have to learn from our neighbour.
1757
01:53:46,620 --> 01:53:50,020
So, I realised they are
surviving out of this.
1758
01:53:50,020 --> 01:53:53,420
I realised I can also save
the few remaining cows
1759
01:53:53,420 --> 01:53:55,820
by feeding them with these tubers.
1760
01:53:57,260 --> 01:54:01,100
Jones and his family copied
the elephants and began digging.
1761
01:54:03,020 --> 01:54:05,820
So, I tried now to go
and feed the cows
1762
01:54:05,820 --> 01:54:08,660
and I discovered
that they were eating.
1763
01:54:11,980 --> 01:54:16,300
Understanding elephant behaviour
has saved Jones and his cows,
1764
01:54:16,300 --> 01:54:18,780
and also helped reduce conflict.
1765
01:54:20,620 --> 01:54:24,860
Now, people are learning survival
techniques from their
five-tonne neighbours
1766
01:54:24,860 --> 01:54:28,220
that might help sustain them
through the ongoing drought.
1767
01:54:29,660 --> 01:54:31,500
It breaks my heart to think just...
1768
01:54:32,420 --> 01:54:35,100
..how tough things have been
1769
01:54:35,100 --> 01:54:37,660
for the people here
and for the elephants.
1770
01:54:39,660 --> 01:54:42,260
But the one thing
that does give me hope
1771
01:54:42,260 --> 01:54:44,900
is just the fact
that the farmers now
1772
01:54:44,900 --> 01:54:47,940
are finding a way to co-exist
with the elephants.
1773
01:54:50,260 --> 01:54:55,300
Astonishing natural solutions
mixed with human ingenuity.
1774
01:54:55,300 --> 01:54:57,540
What a combination.
1775
01:55:01,860 --> 01:55:05,700
At the end of year two
of this extraordinary project,
1776
01:55:05,700 --> 01:55:09,020
it's clear to see that
working with nature
1777
01:55:09,020 --> 01:55:12,060
and recognising it
as our strongest ally
1778
01:55:12,060 --> 01:55:14,980
is the most powerful way
of safeguarding
1779
01:55:14,980 --> 01:55:17,100
the health of our planet.
1780
01:55:18,620 --> 01:55:20,580
Over the coming years,
1781
01:55:20,580 --> 01:55:23,900
we'll be keeping up with the
determined people we've met
1782
01:55:23,900 --> 01:55:28,020
and their inspiring work
across our changing planet.
154310
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