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Stretching out before me is
the magnificent Yellowstone.
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00:00:18,000 --> 00:00:20,520
This is one of the most dynamic...
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00:00:22,360 --> 00:00:26,600
..unpredictable and exciting
environments on Earth.
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00:00:32,400 --> 00:00:34,400
Deep in the Rocky Mountains,
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00:00:34,400 --> 00:00:36,000
this vast wilderness
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00:00:36,000 --> 00:00:39,640
is home to North America's
most iconic wildlife.
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00:00:43,920 --> 00:00:46,040
But every year,
Yellowstone's animals
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00:00:46,040 --> 00:00:48,080
are pushed to their absolute limits.
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00:00:51,240 --> 00:00:54,520
Temperatures can swing from
minus 40 in winter
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00:00:54,520 --> 00:00:57,880
to approaching plus 40 in summer
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00:00:57,880 --> 00:01:01,120
and at the heart of this change
is the thaw.
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00:01:02,920 --> 00:01:06,440
This melt can last several months
from March to July,
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00:01:06,440 --> 00:01:10,440
and is one of the most dramatic
seasonal events on Earth.
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00:01:13,240 --> 00:01:17,560
How do the animals cope
with such extremes of temperature?
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We're here to find out.
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I'm joined by biologist
Patrick Aryee...
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Whew! That's intense.
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00:01:30,120 --> 00:01:33,800
..and a team of wildlife cameramen
and expert scientists.
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00:01:37,480 --> 00:01:40,240
I'll be following some of the area's
key wildlife.
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00:01:40,240 --> 00:01:42,040
We'll be getting to know families
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00:01:42,040 --> 00:01:44,920
through their highs and lows,
starting right now.
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00:01:46,920 --> 00:01:49,000
And I'm looking at
the bigger picture,
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00:01:49,000 --> 00:01:51,640
understanding the science
of the thaw
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00:01:51,640 --> 00:01:53,960
during each season, across winter,
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00:01:53,960 --> 00:01:56,360
spring and summer.
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00:01:56,360 --> 00:01:57,520
That's brilliant.
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00:01:59,000 --> 00:02:00,520
Living here is tough.
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00:02:02,640 --> 00:02:05,720
The changing climate
has brought freak storms,
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00:02:05,720 --> 00:02:08,720
flash floods and raging fires,
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00:02:08,720 --> 00:02:11,760
making life for the animals
even more extreme.
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00:02:15,080 --> 00:02:18,560
With unprecedented access
to this remarkable place,
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over the next three nights
we're bringing you Yellowstone
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as you've never seen it before.
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Welcome to Yellowstone:
The Wildest Winter.
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WOLF HOWLS
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00:02:45,880 --> 00:02:47,360
It's early March.
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00:02:51,000 --> 00:02:54,360
This is a world blanketed
in thick snow and ice.
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00:02:57,240 --> 00:03:00,840
And after four long,
hard months of winter,
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00:03:00,840 --> 00:03:05,400
the animals still have more weeks
of brutal cold to endure.
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00:03:08,680 --> 00:03:11,480
We are in the north-west of the USA,
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00:03:11,480 --> 00:03:14,040
2,000 metres up in the Rockies.
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00:03:14,040 --> 00:03:18,600
This is an area known as
the Greater Yellowstone Ecosystem.
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00:03:18,600 --> 00:03:20,640
It's the size of Scotland,
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includes two national parks
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00:03:22,680 --> 00:03:26,600
and is bounded on three sides
by mountain ranges.
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In this programme,
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we'll be following the lives
of animals
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00:03:33,320 --> 00:03:37,000
that have to adapt
to extreme change,
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00:03:37,000 --> 00:03:38,920
as winter turns into spring.
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00:03:41,240 --> 00:03:43,920
For many, this is
the ultimate challenge...
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00:03:45,000 --> 00:03:47,480
..particularly for
Yellowstone's biggest,
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00:03:47,480 --> 00:03:51,160
and, at this time of year,
hungriest carnivores.
53
00:03:51,160 --> 00:03:54,200
Patrick's heading high up
into the mountains on their trail.
54
00:03:57,600 --> 00:04:02,440
It's amazing to think that somewhere
out there are grizzly bears.
55
00:04:05,720 --> 00:04:08,320
But it's right at the tail end
of winter and it's really cold,
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00:04:08,320 --> 00:04:11,760
so most of those bears are still
going to be hibernating in dens
57
00:04:11,760 --> 00:04:13,960
deep beneath the snow.
58
00:04:13,960 --> 00:04:16,680
And, for most,
that's a sensible strategy.
59
00:04:18,160 --> 00:04:21,720
Right now the weather
is bitterly cold
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00:04:21,720 --> 00:04:24,560
and down to minus 21 Celsius
up here.
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00:04:24,560 --> 00:04:26,080
It's usually later in March
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00:04:26,080 --> 00:04:29,160
that the majority of grizzlies
start coming out.
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00:04:29,160 --> 00:04:31,040
I'm in the Gallatin Mountains
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00:04:31,040 --> 00:04:33,400
in the north-west of Yellowstone.
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00:04:41,360 --> 00:04:43,480
Our grizzly expert, Casey Anderson,
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00:04:43,480 --> 00:04:46,520
is out here
monitoring bear activity.
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00:04:46,520 --> 00:04:49,040
Hello, Casey.
How are you doing, man? Good.
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00:04:49,040 --> 00:04:53,840
We're looking for any bears that
are emerging from hibernation early,
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00:04:53,840 --> 00:04:57,320
and the most likely place to find
them is at the higher elevations,
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00:04:57,320 --> 00:04:58,920
where grizzlies have their dens.
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00:05:01,320 --> 00:05:02,800
Good view, huh?
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00:05:02,800 --> 00:05:04,480
Absolutely stunning.
73
00:05:04,480 --> 00:05:06,720
But it does look
completely devoid of life.
74
00:05:06,720 --> 00:05:09,720
How are we even going to start
looking for these bears?
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00:05:09,720 --> 00:05:12,560
You're right, there's not much
moving around out here.
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00:05:12,560 --> 00:05:15,800
Right now the only bear
that probably will be out
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00:05:15,800 --> 00:05:17,520
is those first big males.
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00:05:19,120 --> 00:05:22,960
Casey believes some grizzlies
are already leaving their dens
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00:05:22,960 --> 00:05:27,200
because of a recent spell of
unseasonably mild temperatures.
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00:05:27,200 --> 00:05:30,160
So, just a few days ago
we had really warm weather,
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00:05:30,160 --> 00:05:31,440
it felt like spring.
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00:05:31,440 --> 00:05:34,960
It's been so warm you've got to
believe the bears are thinking
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00:05:34,960 --> 00:05:36,720
it's getting close to spring
84
00:05:36,720 --> 00:05:39,880
and that can be really bad news,
because it's not spring
85
00:05:39,880 --> 00:05:42,720
and they come out here
and winter can hit again
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00:05:42,720 --> 00:05:45,520
and that could really be devastating
to a lot of animals,
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including the bears.
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00:05:48,240 --> 00:05:52,440
Last week, right here, it was
15 degrees warmer than today.
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00:05:54,920 --> 00:05:57,640
Now it's back to more typical
March conditions.
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00:06:03,600 --> 00:06:05,040
Casey, this weather's pretty...
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00:06:05,040 --> 00:06:06,080
HE COUGHS
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00:06:06,080 --> 00:06:07,480
Whew!
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00:06:07,480 --> 00:06:10,280
This is pretty intense.
That's intense.
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00:06:10,280 --> 00:06:13,040
How do the bears cope with this?
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00:06:14,080 --> 00:06:17,040
Bears are tough, but this
is difficult for them, too.
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00:06:23,640 --> 00:06:28,760
Suddenly, Casey sees an opening
that could be a bear den.
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00:06:28,760 --> 00:06:31,840
You see, like, these natural
rock formations. Oh, yeah.
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00:06:31,840 --> 00:06:34,840
It's like a little cave. Yeah.
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00:06:34,840 --> 00:06:37,360
It's perched high on a steep slope.
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Not easy going.
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00:06:47,440 --> 00:06:49,120
The things I'll do for bears.
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00:06:54,880 --> 00:06:58,040
Would that be a good site
for a bear to hibernate in?
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00:06:58,040 --> 00:07:00,480
The statistics are this -
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00:07:00,480 --> 00:07:04,560
70% of bears will dig in
a north-faced slope.
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00:07:04,560 --> 00:07:08,200
At least 30% of this population
does something else,
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00:07:08,200 --> 00:07:12,080
and something else
is something like this.
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00:07:12,080 --> 00:07:14,760
Ready-made, in the sun,
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00:07:14,760 --> 00:07:19,760
they can get down in there
and trap the heat.
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00:07:19,760 --> 00:07:21,080
It's perfect.
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00:07:21,080 --> 00:07:23,680
And it's not all one big sleep.
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00:07:23,680 --> 00:07:28,280
During hibernation, the pregnant
females also give birth.
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00:07:28,280 --> 00:07:31,520
It's March now, and those little
guys were born two months ago.
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00:07:31,520 --> 00:07:34,960
So, just imagine these little guys
that big
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00:07:34,960 --> 00:07:38,880
and they're going to grow about that
big in about another month.
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00:07:38,880 --> 00:07:40,640
And then in another month from now
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00:07:40,640 --> 00:07:43,800
they're going to pop their heads
out, and this is going to be home.
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00:07:43,800 --> 00:07:48,120
It's just amazing, think about that,
the first view.
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It's a pretty good one.
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00:07:49,640 --> 00:07:52,920
We head off before we disturb
any sleeping bears.
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00:07:59,240 --> 00:08:03,320
Emerging in these conditions would
mean the odds are against them...
121
00:08:11,720 --> 00:08:15,560
..and 50 miles further east
that's exactly what's happened.
122
00:08:16,920 --> 00:08:19,760
Scientists have tipped off
one of our camera teams
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00:08:19,760 --> 00:08:23,880
about a grizzly bear that has taken
the risk of emerging early.
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00:08:25,440 --> 00:08:26,960
It's clearly struggling.
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00:08:30,320 --> 00:08:32,080
The warmer weather of a week ago
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00:08:32,080 --> 00:08:35,960
has been followed by plunging
temperatures and more snow.
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00:08:37,000 --> 00:08:39,480
This could make finding food
impossible.
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00:08:43,880 --> 00:08:47,120
The grizzly finally makes it down
from the mountains
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00:08:47,120 --> 00:08:48,880
to the valley floor.
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00:08:52,480 --> 00:08:54,520
There are plenty of bison here,
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00:08:54,520 --> 00:08:57,040
but even a starving bear
won't tackle
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these formidable beasts.
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00:09:03,960 --> 00:09:06,920
Bears rely heavily on their
extraordinary sense of smell
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00:09:06,920 --> 00:09:08,320
to find food.
135
00:09:10,000 --> 00:09:13,200
Their nose bristles with over
a billion nerve cells.
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00:09:15,400 --> 00:09:17,000
It's their super sense...
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00:09:19,400 --> 00:09:22,320
..and it's led this bear to a pond.
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00:09:43,840 --> 00:09:48,520
A dip in the sub-zero water
could zap his precious energy.
139
00:09:53,560 --> 00:09:56,440
Grizzlies are superb
at catching fish...
140
00:09:59,360 --> 00:10:01,160
..but it's not fish he's after.
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00:10:09,080 --> 00:10:10,400
It's a bison.
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00:10:11,840 --> 00:10:14,800
Long dead, frozen all winter
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00:10:14,800 --> 00:10:17,880
and now released from its icy tomb.
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00:10:21,920 --> 00:10:25,480
This is probably the first meal
the bear's eaten
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in over four months.
146
00:10:28,560 --> 00:10:30,720
It offers a huge protein hit...
147
00:10:32,200 --> 00:10:34,520
..but he'll need to hang onto it.
148
00:10:36,800 --> 00:10:39,080
The carcass's smell
attracts scavengers.
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00:10:43,880 --> 00:10:46,920
These coyotes won't fight the bear -
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00:10:46,920 --> 00:10:49,320
he's 15 times their weight -
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but they will harass him for scraps.
152
00:10:56,640 --> 00:11:00,120
He tries to mask its scent
by covering it with grass.
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This will also slow down
the bison's decay.
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Having lost up to a third of his
body weight during hibernation,
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he's determined to keep these
precious nutrients for himself.
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Despite emerging from his den early,
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00:11:46,960 --> 00:11:49,560
this lone bear
has hit the jackpot...
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00:11:55,840 --> 00:11:57,320
..but the stakes are high,
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00:11:57,320 --> 00:12:00,560
and the majority of grizzlies
won't bother venturing out
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until the consistent
warm weather of spring.
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00:12:09,760 --> 00:12:12,000
But that still seems a long way off.
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The snow shows no sign
of letting up.
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All the animals here face
the same basic challenge -
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finding enough food
to survive until spring.
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00:12:35,360 --> 00:12:38,360
Our crews are out across the region
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00:12:38,360 --> 00:12:42,160
to capture the stories
of how the wildlife is coping
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00:12:42,160 --> 00:12:44,760
in these last days of winter.
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Yellowstone's elevated position
and horseshoe of mountains
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channel and trap the cold air
driving in from the north,
170
00:13:01,640 --> 00:13:04,400
and moisture coming in
from the Pacific Ocean.
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00:13:06,760 --> 00:13:10,200
This leads to prolonged periods
of extreme weather.
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00:13:20,560 --> 00:13:22,880
When the snow melts in spring,
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it feeds into a thousand rivers
and streams across Yellowstone.
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00:13:27,960 --> 00:13:33,040
These 2,500 miles of running water
are hugely important,
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not just for Yellowstone,
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but they provide
an essential resource
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for millions of people and animals
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right across the
Western United States.
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Scientists constantly monitor
how much snow is building up here
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during the winter.
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00:13:52,320 --> 00:13:54,920
To understand what's
going on this year,
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I am joining a team up in
the Beartooth Mountains
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in the north-east on
their cool commute to work.
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This is possibly the best office
I have ever been to.
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THEY LAUGH
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00:14:09,040 --> 00:14:11,080
This looks like a pretty good spot.
187
00:14:12,920 --> 00:14:15,640
Oh, wow.
188
00:14:15,640 --> 00:14:19,600
It's right at about
205 centimetres.
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00:14:19,600 --> 00:14:20,640
OK.
190
00:14:21,600 --> 00:14:24,200
Lucas Zukiewicz is one of the
hydrologists
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00:14:24,200 --> 00:14:28,360
who spends the winter carrying
out health checks on the snow.
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00:14:28,360 --> 00:14:30,120
Our entire history of our snowpack,
193
00:14:30,120 --> 00:14:31,720
starting mid-October,
194
00:14:31,720 --> 00:14:33,920
is really in this snowpack here.
195
00:14:33,920 --> 00:14:35,840
So we are going to dig a hole
down into the ground,
196
00:14:35,840 --> 00:14:38,080
and it is pretty much
the coolest layer cake
197
00:14:38,080 --> 00:14:39,440
that you're ever going to see.
198
00:14:39,440 --> 00:14:41,400
LAUGHING: I love that.
199
00:14:41,400 --> 00:14:43,320
I have a feeling that I might
be here for months.
200
00:14:43,320 --> 00:14:45,520
Right, OK. So...
201
00:15:00,880 --> 00:15:02,840
Yeah, I've hit grass!
202
00:15:04,720 --> 00:15:05,960
That is so cool.
203
00:15:05,960 --> 00:15:08,040
I have to say, coming from
a country where, you know,
204
00:15:08,040 --> 00:15:10,240
if you get four centimetres of snow
it's newsworthy,
205
00:15:11,320 --> 00:15:14,880
to look at that and to kind of
understand
206
00:15:14,880 --> 00:15:19,600
that that is a record of your
winter, that's quite cool, isn't it?
207
00:15:19,600 --> 00:15:23,920
It's amazing. And the best part of
this job is it's never the same.
208
00:15:23,920 --> 00:15:25,040
Every year is different.
209
00:15:25,040 --> 00:15:27,400
It's like hitting the reset button
on it every year.
210
00:15:27,400 --> 00:15:32,520
So it's time for us to analyse
what the snowpack can tell us.
211
00:15:32,520 --> 00:15:35,840
So, looking at it from bottom
to top, here,
212
00:15:35,840 --> 00:15:37,440
we are looking at a time series.
213
00:15:37,440 --> 00:15:40,440
So we have our early season,
October snowfall,
214
00:15:40,440 --> 00:15:43,000
probably our Thanksgiving
and Christmas snowfall
215
00:15:43,000 --> 00:15:45,280
that we have here.
You had a white Christmas?
216
00:15:45,280 --> 00:15:47,520
We had a white Christmas this year,
it was great.
217
00:15:47,520 --> 00:15:50,560
Various measurements enable
Lucas and his team
218
00:15:50,560 --> 00:15:53,640
to work out how much snow is
building up here,
219
00:15:53,640 --> 00:15:55,040
and how dense it is.
220
00:15:56,080 --> 00:15:59,280
The texture of it here
is completely different.
221
00:15:59,280 --> 00:16:03,720
It feels much more compact, exactly
as when we were digging it out.
222
00:16:03,720 --> 00:16:07,760
The density reflects how much water
is contained in each layer
223
00:16:07,760 --> 00:16:10,320
of the snowpack and that varies
224
00:16:10,320 --> 00:16:13,560
depending on the temperature
when the snow fell.
225
00:16:13,560 --> 00:16:15,840
Maybe we see some pretty well bonded
snow in here,
226
00:16:15,840 --> 00:16:18,240
which is generally an indication of
warm temperatures.
227
00:16:18,240 --> 00:16:21,360
OK. Warm temperatures actually bond
the snow pretty well together.
228
00:16:21,360 --> 00:16:23,640
First of all, we're going to stick
one right up here
229
00:16:23,640 --> 00:16:24,880
on the surface of the snow.
230
00:16:24,880 --> 00:16:28,720
Measuring the temperature
is also key in helping to predict
231
00:16:28,720 --> 00:16:32,200
when the bulk of the water will
flood down into the valleys.
232
00:16:32,200 --> 00:16:33,520
The next one at 170,
233
00:16:33,520 --> 00:16:35,160
we are going to stick that
right below
234
00:16:35,160 --> 00:16:36,800
that little crust layer that we saw.
235
00:16:36,800 --> 00:16:39,400
And these readings also
provide clues
236
00:16:39,400 --> 00:16:43,160
as to why some mammals
hibernate deep in the snow.
237
00:16:43,160 --> 00:16:44,800
Stick it right in the ground.
238
00:16:44,800 --> 00:16:46,920
In the grass.
239
00:16:46,920 --> 00:16:49,800
So, we can see here that our snow
surface temperature -
240
00:16:49,800 --> 00:16:51,080
what does that one say?
241
00:16:51,080 --> 00:16:53,520
I would say minus eight.
242
00:16:53,520 --> 00:16:55,280
But as we move further down
the snowpack...
243
00:16:55,280 --> 00:16:57,840
It's warmer! It's warmer,
it's minus three degrees.
244
00:16:57,840 --> 00:16:59,160
That's mad.
245
00:16:59,160 --> 00:17:02,120
OK. And if we go even closer
to the ground...
246
00:17:02,120 --> 00:17:03,480
It's almost on zero.
247
00:17:03,480 --> 00:17:07,040
Yep - so, the ground is generally
close to zero degrees Celsius
248
00:17:07,040 --> 00:17:11,760
through the winter, so the snowpack
is also insulating the soil.
249
00:17:11,760 --> 00:17:13,360
But it also makes sense,
250
00:17:13,360 --> 00:17:16,000
when you look at something like a
grizzly bear
251
00:17:16,000 --> 00:17:18,880
hibernating in the winter
beneath the snow -
252
00:17:18,880 --> 00:17:22,280
I now understand
why it chooses to hibernate there,
253
00:17:22,280 --> 00:17:23,440
because it's warmer.
254
00:17:23,440 --> 00:17:25,720
Snow caves are pretty warm.
255
00:17:25,720 --> 00:17:27,160
That's brilliant.
256
00:17:27,160 --> 00:17:29,120
This insulating effect
257
00:17:29,120 --> 00:17:33,040
not only allows bears to hibernate
in snow dens,
258
00:17:33,040 --> 00:17:35,160
it keeps the grass alive.
259
00:17:35,160 --> 00:17:38,160
Vital food for herbivores
260
00:17:38,160 --> 00:17:41,440
and whilst it may look just like a
white wall,
261
00:17:41,440 --> 00:17:45,600
we're actually looking at
an enormous reservoir.
262
00:17:48,240 --> 00:17:52,280
When the weather warms up enough to
heat the snowpack right through...
263
00:17:56,200 --> 00:17:59,080
..billions of litres of water run
off the mountains
264
00:17:59,080 --> 00:18:01,720
into the rivers and lakes
of Yellowstone.
265
00:18:03,160 --> 00:18:07,520
Is the timing of the thaw
important for you?
266
00:18:07,520 --> 00:18:10,720
It is, because it affects when we
see the bulk of the water
267
00:18:10,720 --> 00:18:12,560
move into our river systems. Right.
268
00:18:12,560 --> 00:18:14,680
This is our reservoir that we have
in our mountains,
269
00:18:14,680 --> 00:18:17,400
this is how we get our water, this
is how it flows through the park.
270
00:18:17,400 --> 00:18:20,280
So, do you think
when the thaw comes,
271
00:18:20,280 --> 00:18:22,720
it's going to be a normal year,
272
00:18:22,720 --> 00:18:24,160
or an abnormal year?
273
00:18:24,160 --> 00:18:25,640
We are slightly below average
274
00:18:25,640 --> 00:18:28,600
with the snowpack that we have here
in place, at this elevation,
275
00:18:28,600 --> 00:18:30,640
but really it is going to be the
next month or two
276
00:18:30,640 --> 00:18:32,160
and the weather that we experience
277
00:18:32,160 --> 00:18:35,080
that is going to dictate what we see
this year in terms of our thaw,
278
00:18:35,080 --> 00:18:37,680
and how that impacts
the bigger ecosystem.
279
00:18:39,360 --> 00:18:42,880
It will be interesting to see
what happens in the coming weeks,
280
00:18:42,880 --> 00:18:47,480
as the weather has already proved
highly volatile this winter.
281
00:18:47,480 --> 00:18:49,440
There was a jump in temperatures
282
00:18:49,440 --> 00:18:53,000
and an unusually warm
period at the end of February.
283
00:18:53,000 --> 00:18:55,880
March has now seen a return
to the colder,
284
00:18:55,880 --> 00:18:58,200
more typical weather
for this time of year.
285
00:19:00,480 --> 00:19:01,760
In recent years,
286
00:19:01,760 --> 00:19:05,520
Yellowstone has experienced milder
winters more often
287
00:19:05,520 --> 00:19:08,360
and this one appears
to be following that trend.
288
00:19:10,080 --> 00:19:14,280
Patrick has headed south to see how
the temperature jumps this year
289
00:19:14,280 --> 00:19:16,920
are affecting
another iconic species.
290
00:19:21,800 --> 00:19:25,720
Snow is a lot more complex
than it looks,
291
00:19:25,720 --> 00:19:28,160
and for one animal, a bird of prey,
292
00:19:28,160 --> 00:19:30,640
the precise depth and type of snow
293
00:19:30,640 --> 00:19:34,040
can literally mean the difference
between life and death.
294
00:19:44,440 --> 00:19:47,680
This is the great grey owl,
295
00:19:47,680 --> 00:19:50,400
one of the largest owls
in the world,
296
00:19:50,400 --> 00:19:54,360
with a wingspan that stretches up
to 1.5 metres.
297
00:19:57,240 --> 00:19:59,080
It's a winter specialist.
298
00:20:00,280 --> 00:20:03,920
It survives in some of the coldest
forests on earth,
299
00:20:03,920 --> 00:20:06,160
from Siberia to Scandinavia...
300
00:20:08,800 --> 00:20:11,240
..to here, in north-west America.
301
00:20:12,760 --> 00:20:15,640
Researchers believe several hundred
great grey owls
302
00:20:15,640 --> 00:20:18,160
live in the Jackson Hole Valley,
303
00:20:18,160 --> 00:20:21,160
all within 150 square miles
of forest.
304
00:20:28,640 --> 00:20:30,720
Our cameraman, Jeff Hogan,
305
00:20:30,720 --> 00:20:34,320
has had a lifelong love affair
with this enigmatic bird.
306
00:20:39,400 --> 00:20:41,520
I've been following and filming
the great grey owls
307
00:20:41,520 --> 00:20:43,680
for just about 30 years now.
308
00:20:43,680 --> 00:20:46,880
It's still just as exciting
and challenging
309
00:20:46,880 --> 00:20:48,920
as it was the very first day.
310
00:20:50,480 --> 00:20:54,040
This is a fantastic place
for owls to be hanging out.
311
00:20:54,040 --> 00:20:57,520
I mean, it is mixed aspens
and conifer forest,
312
00:20:57,520 --> 00:20:59,560
along with these meadows,
313
00:20:59,560 --> 00:21:03,960
provide an incredible habitat for
the prey that the owl feeds upon.
314
00:21:07,120 --> 00:21:09,320
Great greys feed on rodents -
315
00:21:09,320 --> 00:21:12,920
mainly gophers and voles -
that burrow under the snow.
316
00:21:15,160 --> 00:21:18,760
Their huge facial discs
act like satellite dishes,
317
00:21:18,760 --> 00:21:20,680
directing sound to their ears.
318
00:21:22,200 --> 00:21:24,640
Their hearing is exceptional.
319
00:21:26,280 --> 00:21:29,640
They can detect prey
from over 100 metres away,
320
00:21:29,640 --> 00:21:31,520
through snow almost
half a metre deep.
321
00:21:33,760 --> 00:21:36,160
But it is one thing
knowing where to pounce,
322
00:21:36,160 --> 00:21:38,640
another to break through
to reach the meal.
323
00:21:40,720 --> 00:21:42,480
Jeff is out looking for them.
324
00:21:42,480 --> 00:21:45,320
He is concerned that,
with the erratic weather conditions,
325
00:21:45,320 --> 00:21:47,680
the owls face a big challenge.
326
00:21:48,760 --> 00:21:53,600
Earlier this week we got a lot of
snow, and then the skies cleared,
327
00:21:53,600 --> 00:21:56,560
so you can look around here and
see where the sun is beating down
328
00:21:56,560 --> 00:22:00,200
on the surface of this snowpack,
and it really softens it up.
329
00:22:00,200 --> 00:22:03,960
It doesn't melt completely,
but it makes it really soft and wet,
330
00:22:03,960 --> 00:22:06,600
and then at night,
when the temperatures plummet,
331
00:22:06,600 --> 00:22:09,920
it will freeze hard
and turn it to ice.
332
00:22:09,920 --> 00:22:12,320
You can actually see this layer
of crust.
333
00:22:15,160 --> 00:22:17,240
You can really feel that.
334
00:22:17,240 --> 00:22:18,560
Ouch.
335
00:22:18,560 --> 00:22:20,120
This is hard.
336
00:22:22,720 --> 00:22:25,680
And as the temperatures drop
as night approaches,
337
00:22:25,680 --> 00:22:27,880
this is going to get
harder and harder,
338
00:22:27,880 --> 00:22:31,000
and these owls have to bust through
this crust,
339
00:22:31,000 --> 00:22:34,320
and there may be another foot
of snow to get to their prey.
340
00:22:36,280 --> 00:22:39,160
Jeff hasn't seen any great greys,
341
00:22:39,160 --> 00:22:42,720
which could mean they have been
forced further afield to hunt.
342
00:22:44,120 --> 00:22:46,800
So, I guess I'm going to have
to keep on looking.
343
00:22:49,120 --> 00:22:53,280
At this time of year,
eating enough food is critical.
344
00:22:53,280 --> 00:22:57,200
If the great grey owls can't hunt,
they simply won't lay eggs,
345
00:22:57,200 --> 00:22:59,080
or even nest this season.
346
00:23:01,320 --> 00:23:04,280
Their population is already small
and vulnerable.
347
00:23:07,000 --> 00:23:10,760
Biologist Katherine Gura is keen to
see how current snow conditions
348
00:23:10,760 --> 00:23:14,240
might be impacting the owls'
ability to feed
349
00:23:14,240 --> 00:23:16,720
and that involves
a simple experiment.
350
00:23:18,440 --> 00:23:21,960
Katherine, you are stood out here
with a ruler, a metre rule,
351
00:23:21,960 --> 00:23:23,440
and these flasks of water.
352
00:23:23,440 --> 00:23:25,760
What do these have to do with owls?
353
00:23:25,760 --> 00:23:29,000
So, this is about the same weight
as a great grey owl.
354
00:23:29,000 --> 00:23:31,200
So, what we are doing
is dropping these,
355
00:23:31,200 --> 00:23:34,720
and we are seeing how far
they penetrate the snow.
356
00:23:34,720 --> 00:23:37,000
Because it in turn can show us
how easy or hard it is
357
00:23:37,000 --> 00:23:40,360
for great grey owls to penetrate
the snow to get to their prey.
358
00:23:40,360 --> 00:23:42,560
Right, Katherine, can
I give you a hand? Absolutely.
359
00:23:42,560 --> 00:23:43,760
OK, so what do I do?
360
00:23:43,760 --> 00:23:47,360
So you want to drop that
from one metre above the snow.
361
00:23:47,360 --> 00:23:48,640
OK. So that's here.
362
00:23:48,640 --> 00:23:50,760
One metre, that's here. Yeah.
363
00:23:51,880 --> 00:23:55,600
OK, so it hasn't really gone
that far. It's gone about...
364
00:23:55,600 --> 00:23:58,240
17 centimetres.
365
00:23:58,240 --> 00:24:01,320
With their prey often underneath
twice as much snow,
366
00:24:01,320 --> 00:24:03,480
this is why the owls are having
trouble feeding.
367
00:24:04,600 --> 00:24:08,040
Our concern is that it is changing
the timing of their behaviour.
368
00:24:08,040 --> 00:24:09,640
So if there's not enough prey,
369
00:24:09,640 --> 00:24:12,280
I mean, that's probably going to
spell disaster.
370
00:24:12,280 --> 00:24:14,680
Are you worried about that?
I definitely am.
371
00:24:14,680 --> 00:24:16,840
I've been working with
these owls for years.
372
00:24:16,840 --> 00:24:19,160
I love watching them throughout
their nesting season,
373
00:24:19,160 --> 00:24:20,440
and it really concerns me
374
00:24:20,440 --> 00:24:23,120
if they are not going to be able to
have enough prey
375
00:24:23,120 --> 00:24:26,560
to even attempt to nest,
or to eventually support the young.
376
00:24:30,720 --> 00:24:33,480
This year, with
the tricky snow conditions,
377
00:24:33,480 --> 00:24:35,360
the owls appear to be suffering.
378
00:24:36,960 --> 00:24:39,400
To find out how they are really
getting on,
379
00:24:39,400 --> 00:24:42,040
or indeed if they are around at all,
380
00:24:42,040 --> 00:24:45,080
Katherine needs to conduct her
survey at night.
381
00:24:47,600 --> 00:24:50,040
The night-time call
of the great grey owl
382
00:24:50,040 --> 00:24:52,000
is one of the early signs of spring,
383
00:24:52,000 --> 00:24:54,360
and, for scientists,
this is the first time
384
00:24:54,360 --> 00:24:57,400
they will be able to work out
exactly where they are,
385
00:24:57,400 --> 00:24:59,920
what they're up to,
and how they are doing.
386
00:24:59,920 --> 00:25:03,680
If the great greys are going to be
successful in raising chicks,
387
00:25:03,680 --> 00:25:05,720
they should be out there right now,
388
00:25:05,720 --> 00:25:08,120
and we hopefully should be able
to hear them,
389
00:25:08,120 --> 00:25:10,640
but the thing is, this year,
nothing is certain.
390
00:25:13,680 --> 00:25:15,800
Jeff has also joined us.
391
00:25:15,800 --> 00:25:18,360
He is hoping his luck finding owls
will change
392
00:25:18,360 --> 00:25:20,440
under the cover of darkness.
393
00:25:27,480 --> 00:25:30,720
The survey area covers several
square miles.
394
00:25:30,720 --> 00:25:35,400
Now, my top speed in snow shoes
is half a mile per hour.
395
00:25:35,400 --> 00:25:37,400
This could be a long night.
396
00:25:41,200 --> 00:25:44,600
All right, this looks like a good
spot to stop and survey.
397
00:25:44,600 --> 00:25:46,320
OK, so what are we going to do?
398
00:25:46,320 --> 00:25:48,520
So I will do the male
territorial call,
399
00:25:48,520 --> 00:25:50,520
and then we want to be as quiet as
possible,
400
00:25:50,520 --> 00:25:52,440
and we'll listen to see
if one responds.
401
00:25:52,440 --> 00:25:54,760
Right, so, fingers crossed
we get an owl. OK.
402
00:25:54,760 --> 00:25:57,040
I'll do my best.
403
00:25:57,040 --> 00:25:59,400
SHE MIMICS OWL HOOT
404
00:26:09,280 --> 00:26:10,360
OWL RESPONDS
405
00:26:10,360 --> 00:26:12,000
Yep, that's it.
406
00:26:12,000 --> 00:26:14,440
Right here. Yeah, this is great.
407
00:26:14,440 --> 00:26:15,480
OWL HOOTS
408
00:26:17,000 --> 00:26:18,240
It's responding.
409
00:26:20,320 --> 00:26:22,360
So, is that probably a male?
410
00:26:22,360 --> 00:26:24,840
So, that's a male territorial call.
411
00:26:24,840 --> 00:26:27,520
So they will do that,
either to attract a mate,
412
00:26:27,520 --> 00:26:31,680
and also to tell other males that
this is his zone, his territory.
413
00:26:31,680 --> 00:26:32,920
Should I give it a go?
414
00:26:32,920 --> 00:26:34,920
You should do it.
415
00:26:34,920 --> 00:26:36,280
HE HOOTS
416
00:26:36,280 --> 00:26:37,520
No, that's too deep!
417
00:26:38,880 --> 00:26:39,920
See if he likes it.
418
00:26:39,920 --> 00:26:41,720
HE HOOTS
419
00:26:51,080 --> 00:26:52,240
Mine's too manly.
420
00:26:53,280 --> 00:26:54,920
You've scared it off.
421
00:26:54,920 --> 00:26:56,840
He doesn't want to get beat up!
422
00:26:58,280 --> 00:27:01,120
So, given the conditions that
we're having this year,
423
00:27:01,120 --> 00:27:02,800
this is a really good sign,
424
00:27:02,800 --> 00:27:05,160
that we can hear
the great grey owls. Mm-hm.
425
00:27:05,160 --> 00:27:07,920
I was definitely worried, with kind
of the hard crust that we have had,
426
00:27:07,920 --> 00:27:09,800
that they might not be
on territory yet,
427
00:27:09,800 --> 00:27:12,200
but it is a good sign that they are
here and defending it.
428
00:27:12,200 --> 00:27:13,240
OWL HOOTS
429
00:27:16,080 --> 00:27:17,760
So, there are males out there
430
00:27:17,760 --> 00:27:20,080
and they're defending
their territory.
431
00:27:21,120 --> 00:27:24,560
Given this year's unpredictable
weather, it's a promising sign.
432
00:27:26,040 --> 00:27:28,440
Jeff and Katherine
will continue monitoring,
433
00:27:28,440 --> 00:27:31,400
and we'll be back to see
how the owls are getting on
434
00:27:31,400 --> 00:27:33,240
later in the season.
435
00:27:47,040 --> 00:27:48,440
All across the region,
436
00:27:48,440 --> 00:27:50,800
the challenge for much of
the wildlife
437
00:27:50,800 --> 00:27:52,920
is simply to hang on until spring.
438
00:27:54,200 --> 00:27:56,640
It may appear that animals
like bison
439
00:27:56,640 --> 00:28:00,320
spend the winter stoically
struggling through the snow,
440
00:28:00,320 --> 00:28:02,440
but there is a respite for some...
441
00:28:03,720 --> 00:28:07,600
..and it's thanks to a feature
that is synonymous with Yellowstone.
442
00:28:13,560 --> 00:28:17,280
It's famed not just for its
landscapes and its wildlife,
443
00:28:17,280 --> 00:28:19,080
but also for its geology.
444
00:28:20,240 --> 00:28:23,960
Yellowstone has more geysers
than anywhere else.
445
00:28:23,960 --> 00:28:28,520
In fact, 60% of all the geysers
anywhere in the world are here,
446
00:28:28,520 --> 00:28:32,040
and the reason for that is
a giant magma chamber,
447
00:28:32,040 --> 00:28:35,480
literally a pool,
a sort of lake of molten rock,
448
00:28:35,480 --> 00:28:38,360
sitting just below
the Earth's crust,
449
00:28:38,360 --> 00:28:41,760
literally right under my feet here.
450
00:28:49,320 --> 00:28:52,840
Scientists believe there's
enough magma down below
451
00:28:52,840 --> 00:28:56,320
to fill the Grand Canyon
more than 11 times,
452
00:28:56,320 --> 00:28:58,400
and in West Yellowstone,
453
00:28:58,400 --> 00:29:02,760
there's plenty of evidence
of all this geothermal activity,
454
00:29:02,760 --> 00:29:06,640
particularly with
the dramatic geysers.
455
00:29:06,640 --> 00:29:11,200
These hot springs intermittently
send fountains of water and steam
456
00:29:11,200 --> 00:29:12,960
into the air.
457
00:29:14,400 --> 00:29:17,440
It looks a fairly
inhospitable landscape,
458
00:29:17,440 --> 00:29:22,880
but around 200 bison spend the
winter living and feeding here.
459
00:29:22,880 --> 00:29:26,120
These bison are part of what
is known as the central herd,
460
00:29:26,120 --> 00:29:29,520
and they don't need to work really
so hard to get at the vegetation
461
00:29:29,520 --> 00:29:31,040
beneath the snow.
462
00:29:31,040 --> 00:29:34,600
The earth here is warmed
by that magma chamber
463
00:29:34,600 --> 00:29:37,240
bubbling away beneath the crust,
464
00:29:37,240 --> 00:29:39,520
and that means there's
far less snow,
465
00:29:39,520 --> 00:29:42,840
and the vegetation
is much easier to get at.
466
00:29:44,120 --> 00:29:47,760
But scientists have discovered
that these easy pickings
467
00:29:47,760 --> 00:29:49,680
come at a high price.
468
00:29:50,920 --> 00:29:53,840
The hot water pushing up
from deep underground
469
00:29:53,840 --> 00:29:58,720
dissolves the chemical compound
silica from the volcanic rock,
470
00:29:58,720 --> 00:30:00,960
and deposits it on the grass.
471
00:30:01,920 --> 00:30:05,920
Now, silica coats the vegetation
around geysers and hot springs,
472
00:30:05,920 --> 00:30:08,360
and it's a little bit
like eating something
473
00:30:08,360 --> 00:30:11,760
that has been covered in a very fine
dusting of ground glass.
474
00:30:12,840 --> 00:30:16,800
It's enormously abrasive
and very, very tough on the teeth.
475
00:30:18,080 --> 00:30:22,480
The other issue is the high levels
of fluoride in the water.
476
00:30:22,480 --> 00:30:27,120
This chemical is a by-product
of historic volcanic eruptions.
477
00:30:27,120 --> 00:30:31,360
In low doses, such as in toothpaste,
it's good for your teeth,
478
00:30:31,360 --> 00:30:35,840
but here it's so concentrated
it actually softens,
479
00:30:35,840 --> 00:30:38,080
rather than strengthens, the enamel.
480
00:30:39,560 --> 00:30:43,960
Now, the combination of silica and
an excess of fluoride in their diet,
481
00:30:43,960 --> 00:30:47,040
means that the bison down here
lose their teeth
482
00:30:47,040 --> 00:30:51,280
significantly earlier than the bison
up in the north of the park.
483
00:30:51,280 --> 00:30:54,240
In fact, life expectancy amongst
this herd
484
00:30:54,240 --> 00:30:56,200
is at least five years less.
485
00:30:57,960 --> 00:31:00,760
So, although these bison have an
easier life
486
00:31:00,760 --> 00:31:02,800
than their snowbound cousins,
487
00:31:02,800 --> 00:31:05,000
it's definitely a much shorter one.
488
00:31:07,720 --> 00:31:10,160
Finally, by mid-March,
489
00:31:10,160 --> 00:31:14,080
other parts of Yellowstone also get
a reprieve from deep snow.
490
00:31:15,760 --> 00:31:18,240
It's melting faster
than it's falling.
491
00:31:22,360 --> 00:31:24,600
Warmer air has come up
from the south
492
00:31:24,600 --> 00:31:27,840
and pushed out the cold front
in the north.
493
00:31:28,960 --> 00:31:33,400
Daytime temperatures rise above
freezing, unlocking the rivers...
494
00:31:34,600 --> 00:31:36,920
..and the animals
make the most of it.
495
00:31:39,600 --> 00:31:42,240
Underwater plants
are more nutritious
496
00:31:42,240 --> 00:31:44,200
than those beneath the snow,
497
00:31:44,200 --> 00:31:47,040
and are a vital food
source for this moose,
498
00:31:47,040 --> 00:31:49,680
which needs to pile on
the pounds fast.
499
00:31:53,640 --> 00:31:57,240
This muskrat is enjoying
the vegetation, too.
500
00:31:57,240 --> 00:32:01,400
His double layer of waterproof fur
keeps him warm and dry,
501
00:32:01,400 --> 00:32:04,120
even whilst eating
on an icy platform...
502
00:32:06,800 --> 00:32:10,160
..and, when he dives down,
his lips seal shut
503
00:32:10,160 --> 00:32:12,400
behind his big rodent teeth,
504
00:32:12,400 --> 00:32:15,920
so that he can gather food
without swallowing water.
505
00:32:22,040 --> 00:32:25,280
Even a winter casualty is good news.
506
00:32:25,280 --> 00:32:30,200
This elk carcass will sustain many
scavengers over the coming days...
507
00:32:31,760 --> 00:32:33,320
..and it may be here
508
00:32:33,320 --> 00:32:37,720
thanks to Yellowstone's
most charismatic predator.
509
00:32:39,040 --> 00:32:40,680
HOWLING
510
00:32:52,640 --> 00:32:55,440
SHE GASPS: Oh, my God,
look at the wolves!
511
00:32:55,440 --> 00:32:56,800
This is the most...
512
00:32:58,280 --> 00:33:00,320
This is the most incredible view!
513
00:33:02,560 --> 00:33:06,600
What becomes so evident
when you see a pack of wolves
514
00:33:06,600 --> 00:33:09,160
running across the snow like that
515
00:33:09,160 --> 00:33:13,720
is just how perfectly adapted
they are as winter predators.
516
00:33:15,880 --> 00:33:18,800
There are some things that...
517
00:33:18,800 --> 00:33:21,400
in life that floor you,
518
00:33:21,400 --> 00:33:24,520
and seeing a pack of wolves...
519
00:33:24,520 --> 00:33:29,040
I am completely,
completely overwhelmed by the sight!
520
00:33:46,440 --> 00:33:50,520
To see what effect this year's thaw
is having on these animals,
521
00:33:50,520 --> 00:33:53,120
I'm joining wolf biologist
Doug Smith.
522
00:33:54,680 --> 00:33:57,440
We're on our way up a ridge
on Blacktail Butte
523
00:33:57,440 --> 00:33:58,920
in the Northern Range,
524
00:33:58,920 --> 00:34:01,600
home to a pack of 11 individuals
525
00:34:01,600 --> 00:34:05,680
that lay claim to a territory
of 250 square miles.
526
00:34:06,920 --> 00:34:11,120
Doug and his team constantly monitor
the wolves in Yellowstone.
527
00:34:11,120 --> 00:34:15,200
He's concerned that climate change
is having an impact on them.
528
00:34:20,280 --> 00:34:23,120
They just ooze charisma, don't they?
529
00:34:24,560 --> 00:34:26,320
Even 2km away.
530
00:34:28,840 --> 00:34:30,120
It's true.
531
00:34:33,680 --> 00:34:36,920
There's something enchanting
and mysterious about them
532
00:34:36,920 --> 00:34:39,640
that has gone through the ages.
533
00:34:47,000 --> 00:34:50,400
Usually wolves thrive in the winter.
534
00:34:50,400 --> 00:34:52,120
They are snow specialists.
535
00:34:53,600 --> 00:34:55,160
Their feet fan out,
536
00:34:55,160 --> 00:35:00,000
enabling them to run across
deep snow at over 25mph.
537
00:35:02,480 --> 00:35:06,360
This gives them an advantage over
their prey, elk and bison...
538
00:35:09,160 --> 00:35:11,600
..which struggle
with their cloven hooves.
539
00:35:13,520 --> 00:35:16,880
Wolves generally have even more
of an edge in March,
540
00:35:16,880 --> 00:35:20,080
when Yellowstone's herbivores
are weak and hungry...
541
00:35:25,400 --> 00:35:27,400
..but this year is different.
542
00:35:28,440 --> 00:35:30,960
By Yellowstone's extreme standards,
543
00:35:30,960 --> 00:35:35,000
2016 has been
one of the mildest winters
544
00:35:35,000 --> 00:35:36,640
ever recorded.
545
00:35:36,640 --> 00:35:39,320
Temperatures have fluctuated wildly,
546
00:35:39,320 --> 00:35:42,120
but, overall, they've hovered
three degrees
547
00:35:42,120 --> 00:35:43,920
above the historic average.
548
00:35:46,400 --> 00:35:49,120
A warmer winter is great
for herbivores
549
00:35:49,120 --> 00:35:50,680
as there is less snow,
550
00:35:50,680 --> 00:35:53,000
and they are less likely
to die of cold...
551
00:35:56,440 --> 00:35:59,240
..but for their predators,
Yellowstone's wolves,
552
00:35:59,240 --> 00:36:01,640
it can make life
a lot more difficult.
553
00:36:04,120 --> 00:36:07,120
Because this winter
has been so mild,
554
00:36:07,120 --> 00:36:12,280
do you think that that is going to
have a big impact on these wolves?
555
00:36:12,280 --> 00:36:13,680
It certainly could.
556
00:36:13,680 --> 00:36:15,640
I mean, hard winters
wear your prey down,
557
00:36:15,640 --> 00:36:18,480
and that makes them easier
to kill for wolves.
558
00:36:18,480 --> 00:36:21,880
A mild winter, their prey is going
to do a little bit better.
559
00:36:21,880 --> 00:36:25,560
This winter was warmer
and, with below-average snowfall,
560
00:36:25,560 --> 00:36:28,760
and it is early to tell
what the effect of that is,
561
00:36:28,760 --> 00:36:32,760
but we think that wolf food
consumption rates, kill rates,
562
00:36:32,760 --> 00:36:34,680
are down because of that.
563
00:36:34,680 --> 00:36:38,520
So these milder winters
favour the prey,
564
00:36:38,520 --> 00:36:41,120
and so does that mean fewer pups?
565
00:36:41,120 --> 00:36:42,960
Which leads to smaller packs.
566
00:36:44,040 --> 00:36:46,720
This changing winter weather
could be a huge impact.
567
00:36:48,840 --> 00:36:51,440
Wolf kill rates are down this year,
568
00:36:51,440 --> 00:36:54,080
but our camera teams
across the region
569
00:36:54,080 --> 00:36:56,280
have caught some hunts on film.
570
00:36:56,280 --> 00:36:58,440
Perhaps there will be clues
571
00:36:58,440 --> 00:37:02,160
as to the problems wolves
are facing right now.
572
00:37:02,160 --> 00:37:05,440
Talk me through
what's going on here.
573
00:37:05,440 --> 00:37:08,680
I mean, that's classic
wolf hunting behaviour.
574
00:37:08,680 --> 00:37:12,120
What wolves are looking for
are behavioural cues
575
00:37:12,120 --> 00:37:15,440
that indicate to them
that there is a weak bison.
576
00:37:15,440 --> 00:37:19,720
Right. But what's interesting is,
the bison are staying in these areas
577
00:37:19,720 --> 00:37:22,800
where there is either
no snow or little snow,
578
00:37:22,800 --> 00:37:27,200
because they have got firm footing
and they feel confident. Yeah.
579
00:37:27,200 --> 00:37:31,320
And so what the wolves are doing
is trying to bump them into a place
580
00:37:31,320 --> 00:37:35,160
that's more favourable to them,
ie, deeper snow.
581
00:37:35,160 --> 00:37:37,520
This winter there's less deep
snow... Right.
582
00:37:37,520 --> 00:37:40,120
..so the wolves are having
a harder time.
583
00:37:40,120 --> 00:37:43,480
Plus, these brown places
have forage for the bison to eat
584
00:37:43,480 --> 00:37:45,800
so they're going to be healthier.
Yeah.
585
00:37:45,800 --> 00:37:47,640
That's also bad for the wolves.
586
00:37:48,640 --> 00:37:53,400
The next hunt involves the wolves'
main winter prey, the elk.
587
00:37:53,400 --> 00:37:55,040
Now, here is an elk encounter...
Yeah.
588
00:37:55,040 --> 00:37:56,480
..and this is even more dramatic.
589
00:37:56,480 --> 00:37:59,120
Look at that!
This female elk is very healthy,
590
00:37:59,120 --> 00:38:02,160
and she is actually
attacking the wolf,
591
00:38:02,160 --> 00:38:04,840
but she won't leave the dry ground.
Yeah.
592
00:38:04,840 --> 00:38:09,080
Classic example of the importance
of snow depth and footing.
593
00:38:09,080 --> 00:38:14,320
Look at the elk. Healthy elk will
always outrun a healthy wolf.
594
00:38:14,320 --> 00:38:17,760
So, talking to the old-timers
who lived here in Yellowstone
595
00:38:17,760 --> 00:38:23,280
during the 1960s and 1970s,
every winter was a deep snow winter.
596
00:38:23,280 --> 00:38:27,160
It was the rare winter
that was not much snow.
597
00:38:27,160 --> 00:38:30,920
Now, it's the rare winter
where you have deep snow.
598
00:38:30,920 --> 00:38:33,200
It is more common
to have shallow snow,
599
00:38:33,200 --> 00:38:37,760
and that's switching this balance
between predators and prey.
600
00:38:41,920 --> 00:38:44,640
With so few successful hunts,
601
00:38:44,640 --> 00:38:47,120
scientists have noticed
that some of the wolves
602
00:38:47,120 --> 00:38:50,160
are turning to a summer
feeding strategy.
603
00:38:50,160 --> 00:38:53,520
Instead of working as a pack,
they're hunting alone,
604
00:38:53,520 --> 00:38:56,480
digging into burrows
to catch small mammals.
605
00:38:58,840 --> 00:39:02,680
It's much less rewarding,
much harder work,
606
00:39:02,680 --> 00:39:05,640
and, for this time of the year,
definitely unusual.
607
00:39:09,560 --> 00:39:12,080
The repercussions could be huge.
608
00:39:12,080 --> 00:39:14,560
The female wolves
are pregnant right now,
609
00:39:14,560 --> 00:39:17,960
and poor feeding
may lead to weaker pups.
610
00:39:17,960 --> 00:39:20,160
We won't know until early summer.
611
00:39:30,160 --> 00:39:32,040
It's the end of March.
612
00:39:32,040 --> 00:39:35,120
The signs of spring
are getting stronger every day.
613
00:39:44,240 --> 00:39:45,640
I guess I weigh more than a coyote.
614
00:39:46,640 --> 00:39:48,280
With temperatures warming,
615
00:39:48,280 --> 00:39:51,640
many more grizzlies are coming out
of their dens.
616
00:39:51,640 --> 00:39:55,600
Our bear expert, Casey Anderson,
is out searching for them
617
00:39:55,600 --> 00:39:57,560
up in the Gallatin Mountains.
618
00:39:59,120 --> 00:40:00,800
Sometimes it's not that hard
619
00:40:00,800 --> 00:40:04,320
to work out where
they've passed through.
620
00:40:04,320 --> 00:40:05,360
Hey, look.
621
00:40:06,400 --> 00:40:08,760
You can see, right here,
it's all kind of worn out,
622
00:40:08,760 --> 00:40:10,640
you can see these little claw marks.
623
00:40:14,920 --> 00:40:17,400
Well, sometimes when the bears
come out of the den,
624
00:40:17,400 --> 00:40:18,920
they can be a little mischievous.
625
00:40:18,920 --> 00:40:20,360
If you look right here,
626
00:40:20,360 --> 00:40:24,120
one of the first stops the bear
had made was this snowmobile seat.
627
00:40:24,120 --> 00:40:27,800
Just ripping, clawing, biting,
just playing, really.
628
00:40:27,800 --> 00:40:30,080
It's part of living
in grizzly country.
629
00:40:31,920 --> 00:40:35,840
It is never certain when bears
will emerge in Yellowstone,
630
00:40:35,840 --> 00:40:39,160
but this year has been more
unpredictable than ever.
631
00:40:42,480 --> 00:40:46,920
It's been, really,
a strange year so far.
632
00:40:46,920 --> 00:40:49,080
The spring temperature
633
00:40:49,080 --> 00:40:51,080
has definitely gotten a few
bears up earlier,
634
00:40:51,080 --> 00:40:53,160
we know that one bear has gone down,
635
00:40:53,160 --> 00:40:55,320
pulled that bison carcass
out of the pond.
636
00:40:55,320 --> 00:40:57,200
That was a risk worth taking.
637
00:40:58,720 --> 00:41:00,400
But it was a risk.
638
00:41:00,400 --> 00:41:03,320
Other early grizzlies
may not have been so lucky.
639
00:41:06,320 --> 00:41:09,080
The adaptations animals
make in Yellowstone
640
00:41:09,080 --> 00:41:12,080
to chime with its extreme
seasonal changes
641
00:41:12,080 --> 00:41:13,640
are finely balanced,
642
00:41:13,640 --> 00:41:16,200
and in tune not just
with temperature
643
00:41:16,200 --> 00:41:17,960
and degree of snow cover,
644
00:41:17,960 --> 00:41:20,200
but also with length of day.
645
00:41:21,520 --> 00:41:24,840
Right up here,
there's a long-tail weasel.
646
00:41:26,520 --> 00:41:28,720
It's running around right up here.
647
00:41:32,000 --> 00:41:35,200
So, these long-tail weasels,
as soon as spring actually is here,
648
00:41:35,200 --> 00:41:36,440
they will turn brown,
649
00:41:36,440 --> 00:41:39,160
and they'll be camouflaged
for the spring, summer and fall.
650
00:41:39,160 --> 00:41:42,800
When winter comes again,
they turn white, just like this.
651
00:41:42,800 --> 00:41:45,560
The fact that he's still
completely white
652
00:41:45,560 --> 00:41:47,520
shows that it is very much winter.
653
00:41:48,760 --> 00:41:52,240
The changing colour is triggered
by hours of daylight,
654
00:41:52,240 --> 00:41:53,720
not by temperature.
655
00:41:54,800 --> 00:41:57,920
He won't turn brown
until next month.
656
00:41:57,920 --> 00:41:59,920
And just like the fox
and the coyotes,
657
00:41:59,920 --> 00:42:03,280
he's looking for all the rodents
that live underneath the snow cover.
658
00:42:03,280 --> 00:42:06,200
He's just tunnelling down,
going and grabbing these things,
659
00:42:06,200 --> 00:42:07,720
and popping up and eating them.
660
00:42:08,920 --> 00:42:12,880
But whilst he is still white,
if the snow melts too quickly,
661
00:42:12,880 --> 00:42:15,400
he'll lose his camouflage advantage,
662
00:42:15,400 --> 00:42:18,800
and could be at risk
from predators himself.
663
00:42:19,920 --> 00:42:23,120
And one mammal who would
happily eat him is a fox.
664
00:42:26,080 --> 00:42:29,320
You can see this, like,
little story unfolding here.
665
00:42:29,320 --> 00:42:33,120
This is a fox doing what they're
so good at in winter time.
666
00:42:33,120 --> 00:42:35,520
A bear's greatest sense
is their sense of smell,
667
00:42:35,520 --> 00:42:38,440
whereas a fox's greatest sense
is their sense of hearing.
668
00:42:38,440 --> 00:42:43,440
And they literally hear a little
rodent way down in the snow,
669
00:42:43,440 --> 00:42:45,120
they'll stop, and you'll see them,
670
00:42:45,120 --> 00:42:48,000
they'll do this thing where they
pitch their head side to side,
671
00:42:48,000 --> 00:42:50,280
and what they are doing
is really triangulating
672
00:42:50,280 --> 00:42:53,960
and zoning in to the exact
location of that rodent,
673
00:42:53,960 --> 00:42:56,480
and then they just do this giant
leap up in the air
674
00:42:56,480 --> 00:42:59,200
and get this momentum
with gravity, and just, poof!
675
00:43:00,200 --> 00:43:01,360
Right down into the snow,
676
00:43:01,360 --> 00:43:02,520
and grab that little guy.
677
00:43:02,520 --> 00:43:04,080
He doesn't even know he's coming.
678
00:43:04,080 --> 00:43:06,080
He thinks he's down there,
all protected.
679
00:43:06,080 --> 00:43:08,560
Little does he know,
up there is a fox.
680
00:43:08,560 --> 00:43:10,960
A missile coming straight
down and getting him
681
00:43:10,960 --> 00:43:13,360
and look at that,
that's quite a ways down.
682
00:43:17,040 --> 00:43:20,440
A little vole is a pretty good snack
for a fox.
683
00:43:20,440 --> 00:43:22,000
Whereas for a bear, it is nothing,
684
00:43:22,000 --> 00:43:24,640
there's no way it could survive on
voles alone through the winter,
685
00:43:24,640 --> 00:43:26,520
so that's why they choose to
hibernate,
686
00:43:26,520 --> 00:43:29,320
there's nothing out here to eat
if you're a big old...
687
00:43:29,320 --> 00:43:31,000
bumbling-around bear.
688
00:43:40,760 --> 00:43:43,680
PATRICK: Down in the south,
there is also still plenty of snow
689
00:43:43,680 --> 00:43:46,160
in the forest habitat
of the great grey owl.
690
00:43:47,920 --> 00:43:51,800
Cameraman Jeff Hogan has been out
night and day tracking them
691
00:43:51,800 --> 00:43:54,120
to find out whether they're
breeding successfully.
692
00:43:58,000 --> 00:43:59,240
We have an owl.
693
00:44:00,440 --> 00:44:04,120
Jeff's been hearing and seeing
the male owls consistently,
694
00:44:04,120 --> 00:44:06,000
which is a reassuring sign.
695
00:44:07,440 --> 00:44:11,040
He'd feared they might have left
the area due to a lack of food.
696
00:44:14,120 --> 00:44:15,640
We're going to set up here.
697
00:44:17,520 --> 00:44:21,400
This year, the issue
has been icy snow.
698
00:44:21,400 --> 00:44:25,120
It's prevented the great grey owls
snow-plunging deep enough
699
00:44:25,120 --> 00:44:26,720
to catch their prey.
700
00:44:33,000 --> 00:44:36,840
The owls each need
at least one rodent a day,
701
00:44:36,840 --> 00:44:40,640
and if they don't eat enough now,
they just won't breed.
702
00:44:42,040 --> 00:44:43,680
He didn't catch anything.
703
00:44:46,160 --> 00:44:49,360
There's something right here
underneath him,
704
00:44:49,360 --> 00:44:50,720
because he's back.
705
00:44:50,720 --> 00:44:52,800
He's going to make another attempt.
706
00:45:02,000 --> 00:45:03,280
Oh, he jumped.
707
00:45:08,320 --> 00:45:10,280
Oh, he's on the ground now.
708
00:45:14,720 --> 00:45:16,440
I don't think he got anything.
709
00:45:19,400 --> 00:45:21,600
He just flew up with nothing.
710
00:45:22,920 --> 00:45:26,760
I've been here since dawn and he
hasn't caught anything yet today.
711
00:45:30,280 --> 00:45:33,240
It appears the owls
are still struggling.
712
00:45:34,240 --> 00:45:37,560
Then, at last, a sign of hope.
713
00:45:39,160 --> 00:45:40,920
A female arrives.
714
00:45:44,280 --> 00:45:47,160
This could get exciting. We've got
two great greys right here.
715
00:45:47,160 --> 00:45:52,960
Following one bird is pretty
exciting, but to have two birds...
716
00:45:55,400 --> 00:45:58,120
..it's amazing,
it really is amazing.
717
00:45:58,120 --> 00:45:59,480
Let's see what goes on.
718
00:45:59,480 --> 00:46:01,080
Oh, here, he's flying in.
719
00:46:01,080 --> 00:46:02,280
Oh!
720
00:46:05,600 --> 00:46:07,720
Mating. Mating!
721
00:46:07,720 --> 00:46:09,000
Oh, my.
722
00:46:12,160 --> 00:46:14,040
I've never seen this before.
723
00:46:17,120 --> 00:46:19,040
This is great news.
724
00:46:20,720 --> 00:46:23,200
It's incredible,
absolutely incredible.
725
00:46:24,880 --> 00:46:26,840
For the end of March,
726
00:46:26,840 --> 00:46:29,240
courtship, mating.
727
00:46:31,680 --> 00:46:34,200
The next step is nesting.
728
00:46:42,480 --> 00:46:46,800
Eventually, the pair choose to nest
on an old, broken spruce trunk.
729
00:46:49,560 --> 00:46:53,880
How many eggs are laid will depend
on how much food the owls consumed
730
00:46:53,880 --> 00:46:55,120
earlier in the season.
731
00:46:56,160 --> 00:46:58,920
On average, they lay four,
732
00:46:58,920 --> 00:47:01,360
but this year, it could be less.
733
00:47:01,360 --> 00:47:03,960
We will be following them
to see what happens.
734
00:47:36,240 --> 00:47:39,440
It's now April and the temperatures
are warming up.
735
00:47:39,440 --> 00:47:42,040
This is Jackson Lake in the Tetons,
736
00:47:42,040 --> 00:47:45,120
and normally it would be frozen
well into May,
737
00:47:45,120 --> 00:47:47,240
but already the ice is breaking up.
738
00:47:50,800 --> 00:47:53,120
The arrival of the melt
is a tipping point
739
00:47:53,120 --> 00:47:55,520
for the wildlife of Yellowstone,
740
00:47:55,520 --> 00:47:58,880
and this year,
after an extremely mild winter,
741
00:47:58,880 --> 00:48:01,000
it's three weeks early.
742
00:48:01,000 --> 00:48:05,200
At long last, though,
it's official - spring is here.
743
00:48:07,360 --> 00:48:11,320
As the days get longer,
the sun is higher in the sky,
744
00:48:11,320 --> 00:48:16,240
and its increased energy melts the
snow and raises daily temperatures.
745
00:48:17,760 --> 00:48:19,720
Although there's still snow
on the ground,
746
00:48:19,720 --> 00:48:24,160
the warming temperatures
are actually changing the shape
747
00:48:24,160 --> 00:48:26,720
of the crystals
within the snow pack.
748
00:48:26,720 --> 00:48:30,160
Now, they've turned into
tight little balls,
749
00:48:30,160 --> 00:48:32,560
and there's a lot of water
in between them,
750
00:48:32,560 --> 00:48:34,600
so the packs become a lot slushier.
751
00:48:34,600 --> 00:48:36,840
It's literally at melting point.
752
00:48:38,560 --> 00:48:41,880
All this snow
is just water in waiting.
753
00:48:41,880 --> 00:48:44,720
Millions of tonnes
will gradually melt,
754
00:48:44,720 --> 00:48:48,400
flooding into the lakes and rivers
of north-west America.
755
00:48:50,000 --> 00:48:52,960
It's a process that will
continue until July.
756
00:48:54,680 --> 00:48:57,680
It's the valleys that lose their
snow first,
757
00:48:57,680 --> 00:49:02,520
and then, finally, the mountain
peaks release their huge reservoir.
758
00:49:08,360 --> 00:49:12,600
Soon, these warmer temperatures
will lure the last male grizzlies
759
00:49:12,600 --> 00:49:14,320
out of hibernation...
760
00:49:15,320 --> 00:49:17,400
..and, with the snow retreating,
761
00:49:17,400 --> 00:49:19,720
plants, too, are bursting into life.
762
00:49:20,800 --> 00:49:23,480
A nutritious feast for hungry bears.
763
00:49:26,400 --> 00:49:30,160
Patrick's back in the Gallatin
Mountains with Casey Anderson
764
00:49:30,160 --> 00:49:32,280
to find out why a top predator
765
00:49:32,280 --> 00:49:35,880
sometimes chooses
the vegetarian option.
766
00:49:38,160 --> 00:49:39,200
Look right here.
767
00:49:40,320 --> 00:49:42,720
This is biscuit root.
768
00:49:42,720 --> 00:49:44,880
This is a grizzly favourite.
769
00:49:46,200 --> 00:49:47,960
Bears are omnivores.
770
00:49:48,960 --> 00:49:51,440
They don't just survive on meat.
771
00:49:51,440 --> 00:49:56,560
Their diet also includes insects,
fungi, and lots of vegetation.
772
00:49:57,640 --> 00:49:59,680
Many bears time their emergence
773
00:49:59,680 --> 00:50:03,360
to coincide with biscuit root
coming into flower.
774
00:50:03,360 --> 00:50:05,840
So, that is what they're
looking for, right there.
775
00:50:05,840 --> 00:50:08,480
This bit of root at the bottom.
776
00:50:08,480 --> 00:50:09,920
There's tonnes of calories in it.
777
00:50:09,920 --> 00:50:12,160
So how much biscuit root
do they have to get through?
778
00:50:12,160 --> 00:50:15,120
I've watched them eat hundreds
if not thousands of these roots.
779
00:50:15,120 --> 00:50:17,520
What does it taste like?
You tell me.
780
00:50:19,880 --> 00:50:22,640
I was afraid you were going to say
that, but I'm up to the challenge.
781
00:50:22,640 --> 00:50:23,680
Bottoms up.
782
00:50:27,800 --> 00:50:30,040
It's like carrots. Yeah.
783
00:50:30,040 --> 00:50:32,400
Yeah, like a kind of starchy carrot.
784
00:50:32,400 --> 00:50:35,040
Yeah. To be honest with you,
when I'm hiking around out here,
785
00:50:35,040 --> 00:50:37,400
sometimes I look in my backpack
and see what I have for lunch,
786
00:50:37,400 --> 00:50:38,920
and I look on the ground,
and I'm like,
787
00:50:38,920 --> 00:50:41,840
"I'm going to go grizzly-style
here and start digging away."
788
00:50:43,000 --> 00:50:45,560
As they put on weight
after the winter,
789
00:50:45,560 --> 00:50:47,520
and more grizzlies come out,
790
00:50:47,520 --> 00:50:49,480
they begin to communicate
with each other.
791
00:50:50,600 --> 00:50:54,840
Each male can have a home range of
over several hundred square miles,
792
00:50:54,840 --> 00:50:58,520
and they need to work out who else
is out there on their patch.
793
00:51:00,800 --> 00:51:04,120
So, this is an old backcountry
camp in here,
794
00:51:04,120 --> 00:51:05,960
people come up and camp
from time to time,
795
00:51:05,960 --> 00:51:07,480
there's a little tent over here,
796
00:51:07,480 --> 00:51:09,640
and this old outhouse,
797
00:51:09,640 --> 00:51:11,840
that tree right next
to it is the rub tree
798
00:51:11,840 --> 00:51:14,000
where these big males
will rub their back
799
00:51:14,000 --> 00:51:16,880
and urinate all over the place,
right by the outhouse.
800
00:51:16,880 --> 00:51:18,240
So it's a bear toilet?
801
00:51:18,240 --> 00:51:20,200
It really is.
802
00:51:20,200 --> 00:51:23,680
Look, see these big claws
right here. Wow.
803
00:51:23,680 --> 00:51:25,440
And look right here, Patrick,
804
00:51:25,440 --> 00:51:28,400
where the sap has stuck
all the hair...
805
00:51:28,400 --> 00:51:31,520
Oh, yeah. ..stuck to the tree.
All down to here.
806
00:51:32,640 --> 00:51:34,440
So, all this here,
807
00:51:34,440 --> 00:51:36,120
this is...
808
00:51:36,120 --> 00:51:37,960
bear hair. Yeah.
809
00:51:37,960 --> 00:51:39,640
So, what they do, they come over,
810
00:51:39,640 --> 00:51:42,320
and they just usually come up
and put their back on the tree,
811
00:51:42,320 --> 00:51:44,480
and they'll rub their scent
all over it,
812
00:51:44,480 --> 00:51:48,880
and they reach up and grab like
this, and they bite the tree.
813
00:51:48,880 --> 00:51:51,640
Then they drop down,
particularly the males,
814
00:51:51,640 --> 00:51:54,120
and they do this thing that
I call the cowboy walk.
815
00:51:54,120 --> 00:51:56,880
So, they just stick it and they
twist their feet like this.
816
00:51:56,880 --> 00:51:58,640
PATRICK CHUCKLES
817
00:51:58,640 --> 00:52:01,280
They have real rigid legs,
and they're just really twisting.
818
00:52:03,240 --> 00:52:07,320
So each bear that comes to this tree
will step in that same exact spot.
819
00:52:07,320 --> 00:52:08,840
And they do it over and over again.
820
00:52:08,840 --> 00:52:11,240
It leaves these big divots
in the ground.
821
00:52:11,240 --> 00:52:12,800
So, if you're a smaller bear
822
00:52:12,800 --> 00:52:15,760
and you really have to reach
for that next foot divot,
823
00:52:15,760 --> 00:52:17,960
you know there's
a bigger bear in town.
824
00:52:17,960 --> 00:52:20,480
This is a well-known rub tree.
825
00:52:20,480 --> 00:52:21,840
We're setting up a camera
826
00:52:21,840 --> 00:52:24,280
to see how many of the big males
are out there.
827
00:52:25,480 --> 00:52:27,080
See this right here? Right.
828
00:52:27,080 --> 00:52:28,760
It's going to take a recording,
829
00:52:28,760 --> 00:52:30,960
and it's going to text me
to my cellphone.
830
00:52:30,960 --> 00:52:32,560
No way. Yeah, real-time.
831
00:52:32,560 --> 00:52:34,960
So, as soon as a bear's there,
I'm getting a text.
832
00:52:34,960 --> 00:52:37,560
So, hang on. You're going
to get a text from a bear?
833
00:52:37,560 --> 00:52:40,360
Exactly, that's exactly
what's going to happen.
834
00:52:47,160 --> 00:52:51,400
A few days later, Casey has called
me in to look at the results.
835
00:52:51,400 --> 00:52:55,040
Right, what have we got? Let's take
a look and see what it's caught.
836
00:52:55,040 --> 00:52:56,400
Uh-oh!
837
00:52:56,400 --> 00:52:57,640
THEY LAUGH
838
00:52:59,240 --> 00:53:01,240
That's just brilliant.
839
00:53:01,240 --> 00:53:02,840
That is an elk.
840
00:53:02,840 --> 00:53:06,520
A cow elk. So, this is something
that always happens.
841
00:53:06,520 --> 00:53:09,280
You set up your camera trap, you
think you've got the right angle,
842
00:53:09,280 --> 00:53:12,280
and then one of the animals comes
along and wants to change the angle.
843
00:53:12,280 --> 00:53:15,800
Oh, man! It's giving it a good go.
She's kicking it.
844
00:53:15,800 --> 00:53:18,160
I think it shows their playfulness.
845
00:53:18,160 --> 00:53:20,960
They come over to something new,
curious, and it's like...
846
00:53:22,360 --> 00:53:25,040
"I think I'm going to play
a little soccer with it."
847
00:53:25,040 --> 00:53:26,840
That's just great.
848
00:53:26,840 --> 00:53:29,520
Let's have a look at a couple
of the other clips.
849
00:53:30,720 --> 00:53:33,360
Whoa, first clip!
850
00:53:33,360 --> 00:53:35,560
Exactly what we wanted. Wow.
851
00:53:35,560 --> 00:53:37,000
That's a big male.
852
00:53:37,000 --> 00:53:38,640
I guess it's what we would expect,
853
00:53:38,640 --> 00:53:39,880
this time of the year,
854
00:53:39,880 --> 00:53:42,840
that these big guys will be the
first ones coming out of the den.
855
00:53:42,840 --> 00:53:44,720
The females and the cubs
are still up high.
856
00:53:44,720 --> 00:53:48,320
Casey, Casey, this is a huge bear.
857
00:53:49,440 --> 00:53:51,600
Remember when we set
this camera trap,
858
00:53:51,600 --> 00:53:54,520
we were anticipating that we would
get the whole bear, but... Mm-hm.
859
00:53:54,520 --> 00:53:56,760
Just missing the head.
He's bigger than that.
860
00:53:56,760 --> 00:53:59,920
He stands at 2.5 metres tall.
861
00:53:59,920 --> 00:54:03,080
He's giving it a real bear hug!
862
00:54:03,080 --> 00:54:05,160
That's a bear hug, for sure.
863
00:54:05,160 --> 00:54:06,600
Wow. And there we go,
864
00:54:06,600 --> 00:54:09,400
doing that kind of cowboy walk
you were talking about, right?
865
00:54:09,400 --> 00:54:11,520
Really trying to grind in his scent,
866
00:54:11,520 --> 00:54:12,880
leave those marks.
867
00:54:12,880 --> 00:54:14,600
That cowboy walk.
868
00:54:14,600 --> 00:54:17,720
That means one thing -
"I'm in town and I'm the boss."
869
00:54:17,720 --> 00:54:19,640
But what are they picking up,
870
00:54:19,640 --> 00:54:22,200
and how do you think that affects
their behaviour?
871
00:54:22,200 --> 00:54:25,600
Well, as they emerge, it's the
beginning of the mating season,
872
00:54:25,600 --> 00:54:28,720
so it's important for males to know
if there is a bigger male around.
873
00:54:28,720 --> 00:54:30,280
It's like...
HE SNIFFS
874
00:54:30,280 --> 00:54:31,720
"Oh, this big dude's here,
875
00:54:31,720 --> 00:54:34,160
"maybe I don't want to be here,"
and they'll go the other way.
876
00:54:34,160 --> 00:54:37,400
Equally for the females,
they want to know, you know,
877
00:54:37,400 --> 00:54:39,720
who is going to be the father
of their next offspring.
878
00:54:39,720 --> 00:54:42,200
Yeah. If there's any
big tough guys around.
879
00:54:44,000 --> 00:54:46,440
Although the unusual weather
a few weeks ago
880
00:54:46,440 --> 00:54:49,640
had brought some of them out
of hibernation early,
881
00:54:49,640 --> 00:54:51,800
these males appear fighting fit.
882
00:54:55,360 --> 00:54:59,080
Spring is in the air,
and the bears are getting frisky.
883
00:55:05,200 --> 00:55:08,160
But they're not the only males
getting boisterous.
884
00:55:10,200 --> 00:55:12,880
These elk are shedding
their antlers.
885
00:55:12,880 --> 00:55:15,720
New ones will regrow
over the next few months,
886
00:55:15,720 --> 00:55:18,040
ready for the autumn rutting season.
887
00:55:21,360 --> 00:55:25,920
But perhaps the biggest male
show-offs are down in the south,
888
00:55:25,920 --> 00:55:30,560
and Kate has a front-row seat
for their fabulous performance.
889
00:55:30,560 --> 00:55:32,640
WITTERING
890
00:55:36,960 --> 00:55:39,880
It's mating season
for the sage grouse.
891
00:55:41,560 --> 00:55:44,920
They really like to make a proper
song and dance about it.
892
00:55:44,920 --> 00:55:46,680
GROUSE WITTERS
893
00:55:57,320 --> 00:56:00,480
That sound... It's really
difficult to describe.
894
00:56:00,480 --> 00:56:02,240
It's like a sort of...
895
00:56:02,240 --> 00:56:03,640
popping and a drumming.
896
00:56:05,480 --> 00:56:10,840
It's that, combined with
these wonderful, very showy
897
00:56:10,840 --> 00:56:13,280
puffed-up white chests,
898
00:56:13,280 --> 00:56:17,120
and those fanned-out
black tail feathers,
899
00:56:17,120 --> 00:56:19,920
that will attract the females.
900
00:56:19,920 --> 00:56:21,880
Ooh, there's one.
901
00:56:21,880 --> 00:56:23,840
And they will literally
do a fly past -
902
00:56:23,840 --> 00:56:25,480
they'll sort of fly over
and look down
903
00:56:25,480 --> 00:56:27,760
and say, "Oh, yeah,
I don't mind the look of that one,
904
00:56:27,760 --> 00:56:29,720
"I'll give that one a go."
905
00:56:29,720 --> 00:56:33,640
Greater Yellowstone is a
stronghold for the sage grouse,
906
00:56:33,640 --> 00:56:35,800
a species under threat.
907
00:56:35,800 --> 00:56:38,000
Once numbering tens of millions,
908
00:56:38,000 --> 00:56:41,960
there are now just a few hundred
thousand of these birds left.
909
00:56:41,960 --> 00:56:44,320
Many of them rely on Yellowstone,
910
00:56:44,320 --> 00:56:48,000
where there is still plenty of
their habitat - sage brush.
911
00:56:49,080 --> 00:56:51,640
It is now around 11 degrees,
912
00:56:51,640 --> 00:56:53,240
perfect for breeding.
913
00:56:56,000 --> 00:57:00,360
But success will depend
on how the thaw progresses.
914
00:57:00,360 --> 00:57:04,520
Chicks won't do well if the
temperatures soar too quickly.
915
00:57:08,840 --> 00:57:12,640
So far during the thaw,
some of our animals have done well,
916
00:57:12,640 --> 00:57:14,040
and some haven't.
917
00:57:19,200 --> 00:57:21,240
The jumping around in temperature
918
00:57:21,240 --> 00:57:23,760
at the end of winter
confused some bears
919
00:57:23,760 --> 00:57:26,200
and made life difficult
for the owls.
920
00:57:27,520 --> 00:57:31,080
One of the mildest winters on record
and a lack of snow
921
00:57:31,080 --> 00:57:34,560
prevented the wolves
hunting successfully,
922
00:57:34,560 --> 00:57:39,640
yet the elk and bison emerged
from the season in high numbers,
923
00:57:39,640 --> 00:57:41,880
and with plenty of fighting spirit.
924
00:57:44,440 --> 00:57:47,120
Soon this landscape
will be transformed
925
00:57:47,120 --> 00:57:49,680
from brown and barren
to lush and green,
926
00:57:49,680 --> 00:57:53,000
but the arrival of spring
doesn't necessarily mean
927
00:57:53,000 --> 00:57:56,400
that life will get easier
for our animal families.
928
00:57:56,400 --> 00:57:57,960
All those newborn youngsters
929
00:57:57,960 --> 00:58:00,880
will mean that there's lots of
competition for food,
930
00:58:00,880 --> 00:58:03,360
and the predators
will be ever present,
931
00:58:03,360 --> 00:58:05,920
on the lookout for the young
and the vulnerable.
932
00:58:05,920 --> 00:58:07,640
Tomorrow night,
933
00:58:07,640 --> 00:58:10,600
will the grizzly bear cubs
find enough food to eat
934
00:58:10,600 --> 00:58:13,560
when they venture out
into the big, wide world?
935
00:58:15,760 --> 00:58:17,520
We join a beaver family,
936
00:58:17,520 --> 00:58:20,120
but will they deal with the deluge?
937
00:58:20,120 --> 00:58:23,800
The water level is so much higher.
938
00:58:23,800 --> 00:58:26,520
After a difficult winter
for the wolves,
939
00:58:26,520 --> 00:58:28,000
will their luck turn?
940
00:58:29,320 --> 00:58:32,560
And there is a nest
of great grey owl chicks,
941
00:58:32,560 --> 00:58:34,600
but will they all survive?
942
00:58:34,600 --> 00:58:36,080
Oh, he is struggling.
76667
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