All language subtitles for Yellowstone Wildest Winter to Blazing Summer 1of3 The Wildest Winter 720p HDTV

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic Download
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish Download
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:08,800 --> 00:00:13,040 Stretching out before me is the magnificent Yellowstone. 2 00:00:18,000 --> 00:00:20,520 This is one of the most dynamic... 3 00:00:22,360 --> 00:00:26,600 ..unpredictable and exciting environments on Earth. 4 00:00:32,400 --> 00:00:34,400 Deep in the Rocky Mountains, 5 00:00:34,400 --> 00:00:36,000 this vast wilderness 6 00:00:36,000 --> 00:00:39,640 is home to North America's most iconic wildlife. 7 00:00:43,920 --> 00:00:46,040 But every year, Yellowstone's animals 8 00:00:46,040 --> 00:00:48,080 are pushed to their absolute limits. 9 00:00:51,240 --> 00:00:54,520 Temperatures can swing from minus 40 in winter 10 00:00:54,520 --> 00:00:57,880 to approaching plus 40 in summer 11 00:00:57,880 --> 00:01:01,120 and at the heart of this change is the thaw. 12 00:01:02,920 --> 00:01:06,440 This melt can last several months from March to July, 13 00:01:06,440 --> 00:01:10,440 and is one of the most dramatic seasonal events on Earth. 14 00:01:13,240 --> 00:01:17,560 How do the animals cope with such extremes of temperature? 15 00:01:19,560 --> 00:01:21,200 We're here to find out. 16 00:01:24,760 --> 00:01:27,200 I'm joined by biologist Patrick Aryee... 17 00:01:27,200 --> 00:01:30,120 Whew! That's intense. 18 00:01:30,120 --> 00:01:33,800 ..and a team of wildlife cameramen and expert scientists. 19 00:01:37,480 --> 00:01:40,240 I'll be following some of the area's key wildlife. 20 00:01:40,240 --> 00:01:42,040 We'll be getting to know families 21 00:01:42,040 --> 00:01:44,920 through their highs and lows, starting right now. 22 00:01:46,920 --> 00:01:49,000 And I'm looking at the bigger picture, 23 00:01:49,000 --> 00:01:51,640 understanding the science of the thaw 24 00:01:51,640 --> 00:01:53,960 during each season, across winter, 25 00:01:53,960 --> 00:01:56,360 spring and summer. 26 00:01:56,360 --> 00:01:57,520 That's brilliant. 27 00:01:59,000 --> 00:02:00,520 Living here is tough. 28 00:02:02,640 --> 00:02:05,720 The changing climate has brought freak storms, 29 00:02:05,720 --> 00:02:08,720 flash floods and raging fires, 30 00:02:08,720 --> 00:02:11,760 making life for the animals even more extreme. 31 00:02:15,080 --> 00:02:18,560 With unprecedented access to this remarkable place, 32 00:02:18,560 --> 00:02:21,760 over the next three nights we're bringing you Yellowstone 33 00:02:21,760 --> 00:02:23,680 as you've never seen it before. 34 00:02:26,640 --> 00:02:30,680 Welcome to Yellowstone: The Wildest Winter. 35 00:02:30,680 --> 00:02:32,280 WOLF HOWLS 36 00:02:45,880 --> 00:02:47,360 It's early March. 37 00:02:51,000 --> 00:02:54,360 This is a world blanketed in thick snow and ice. 38 00:02:57,240 --> 00:03:00,840 And after four long, hard months of winter, 39 00:03:00,840 --> 00:03:05,400 the animals still have more weeks of brutal cold to endure. 40 00:03:08,680 --> 00:03:11,480 We are in the north-west of the USA, 41 00:03:11,480 --> 00:03:14,040 2,000 metres up in the Rockies. 42 00:03:14,040 --> 00:03:18,600 This is an area known as the Greater Yellowstone Ecosystem. 43 00:03:18,600 --> 00:03:20,640 It's the size of Scotland, 44 00:03:20,640 --> 00:03:22,680 includes two national parks 45 00:03:22,680 --> 00:03:26,600 and is bounded on three sides by mountain ranges. 46 00:03:29,480 --> 00:03:30,840 In this programme, 47 00:03:30,840 --> 00:03:33,320 we'll be following the lives of animals 48 00:03:33,320 --> 00:03:37,000 that have to adapt to extreme change, 49 00:03:37,000 --> 00:03:38,920 as winter turns into spring. 50 00:03:41,240 --> 00:03:43,920 For many, this is the ultimate challenge... 51 00:03:45,000 --> 00:03:47,480 ..particularly for Yellowstone's biggest, 52 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, 56 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 60 00:04:21,720 --> 00:04:24,560 and down to minus 21 Celsius up here. 61 00:04:24,560 --> 00:04:26,080 It's usually later in March 62 00:04:26,080 --> 00:04:29,160 that the majority of grizzlies start coming out. 63 00:04:29,160 --> 00:04:31,040 I'm in the Gallatin Mountains 64 00:04:31,040 --> 00:04:33,400 in the north-west of Yellowstone. 65 00:04:41,360 --> 00:04:43,480 Our grizzly expert, Casey Anderson, 66 00:04:43,480 --> 00:04:46,520 is out here monitoring bear activity. 67 00:04:46,520 --> 00:04:49,040 Hello, Casey. How are you doing, man? Good. 68 00:04:49,040 --> 00:04:53,840 We're looking for any bears that are emerging from hibernation early, 69 00:04:53,840 --> 00:04:57,320 and the most likely place to find them is at the higher elevations, 70 00:04:57,320 --> 00:04:58,920 where grizzlies have their dens. 71 00:05:01,320 --> 00:05:02,800 Good view, huh? 72 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? 75 00:05:09,720 --> 00:05:12,560 You're right, there's not much moving around out here. 76 00:05:12,560 --> 00:05:15,800 Right now the only bear that probably will be out 77 00:05:15,800 --> 00:05:17,520 is those first big males. 78 00:05:19,120 --> 00:05:22,960 Casey believes some grizzlies are already leaving their dens 79 00:05:22,960 --> 00:05:27,200 because of a recent spell of unseasonably mild temperatures. 80 00:05:27,200 --> 00:05:30,160 So, just a few days ago we had really warm weather, 81 00:05:30,160 --> 00:05:31,440 it felt like spring. 82 00:05:31,440 --> 00:05:34,960 It's been so warm you've got to believe the bears are thinking 83 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 86 00:05:42,720 --> 00:05:45,520 and that could really be devastating to a lot of animals, 87 00:05:45,520 --> 00:05:46,880 including the bears. 88 00:05:48,240 --> 00:05:52,440 Last week, right here, it was 15 degrees warmer than today. 89 00:05:54,920 --> 00:05:57,640 Now it's back to more typical March conditions. 90 00:06:03,600 --> 00:06:05,040 Casey, this weather's pretty... 91 00:06:05,040 --> 00:06:06,080 HE COUGHS 92 00:06:06,080 --> 00:06:07,480 Whew! 93 00:06:07,480 --> 00:06:10,280 This is pretty intense. That's intense. 94 00:06:10,280 --> 00:06:13,040 How do the bears cope with this? 95 00:06:14,080 --> 00:06:17,040 Bears are tough, but this is difficult for them, too. 96 00:06:23,640 --> 00:06:28,760 Suddenly, Casey sees an opening that could be a bear den. 97 00:06:28,760 --> 00:06:31,840 You see, like, these natural rock formations. Oh, yeah. 98 00:06:31,840 --> 00:06:34,840 It's like a little cave. Yeah. 99 00:06:34,840 --> 00:06:37,360 It's perched high on a steep slope. 100 00:06:41,000 --> 00:06:42,720 Not easy going. 101 00:06:47,440 --> 00:06:49,120 The things I'll do for bears. 102 00:06:54,880 --> 00:06:58,040 Would that be a good site for a bear to hibernate in? 103 00:06:58,040 --> 00:07:00,480 The statistics are this - 104 00:07:00,480 --> 00:07:04,560 70% of bears will dig in a north-faced slope. 105 00:07:04,560 --> 00:07:08,200 At least 30% of this population does something else, 106 00:07:08,200 --> 00:07:12,080 and something else is something like this. 107 00:07:12,080 --> 00:07:14,760 Ready-made, in the sun, 108 00:07:14,760 --> 00:07:19,760 they can get down in there and trap the heat. 109 00:07:19,760 --> 00:07:21,080 It's perfect. 110 00:07:21,080 --> 00:07:23,680 And it's not all one big sleep. 111 00:07:23,680 --> 00:07:28,280 During hibernation, the pregnant females also give birth. 112 00:07:28,280 --> 00:07:31,520 It's March now, and those little guys were born two months ago. 113 00:07:31,520 --> 00:07:34,960 So, just imagine these little guys that big 114 00:07:34,960 --> 00:07:38,880 and they're going to grow about that big in about another month. 115 00:07:38,880 --> 00:07:40,640 And then in another month from now 116 00:07:40,640 --> 00:07:43,800 they're going to pop their heads out, and this is going to be home. 117 00:07:43,800 --> 00:07:48,120 It's just amazing, think about that, the first view. 118 00:07:48,120 --> 00:07:49,640 It's a pretty good one. 119 00:07:49,640 --> 00:07:52,920 We head off before we disturb any sleeping bears. 120 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 123 00:08:19,760 --> 00:08:23,880 about a grizzly bear that has taken the risk of emerging early. 124 00:08:25,440 --> 00:08:26,960 It's clearly struggling. 125 00:08:30,320 --> 00:08:32,080 The warmer weather of a week ago 126 00:08:32,080 --> 00:08:35,960 has been followed by plunging temperatures and more snow. 127 00:08:37,000 --> 00:08:39,480 This could make finding food impossible. 128 00:08:43,880 --> 00:08:47,120 The grizzly finally makes it down from the mountains 129 00:08:47,120 --> 00:08:48,880 to the valley floor. 130 00:08:52,480 --> 00:08:54,520 There are plenty of bison here, 131 00:08:54,520 --> 00:08:57,040 but even a starving bear won't tackle 132 00:08:57,040 --> 00:08:58,880 these formidable beasts. 133 00:09:03,960 --> 00:09:06,920 Bears rely heavily on their extraordinary sense of smell 134 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. 136 00:09:15,400 --> 00:09:17,000 It's their super sense... 137 00:09:19,400 --> 00:09:22,320 ..and it's led this bear to a pond. 138 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. 141 00:10:09,080 --> 00:10:10,400 It's a bison. 142 00:10:11,840 --> 00:10:14,800 Long dead, frozen all winter 143 00:10:14,800 --> 00:10:17,880 and now released from its icy tomb. 144 00:10:21,920 --> 00:10:25,480 This is probably the first meal the bear's eaten 145 00:10:25,480 --> 00:10:27,040 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. 149 00:10:43,880 --> 00:10:46,920 These coyotes won't fight the bear - 150 00:10:46,920 --> 00:10:49,320 he's 15 times their weight - 151 00:10:49,320 --> 00:10:51,200 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. 153 00:11:01,640 --> 00:11:03,880 This will also slow down the bison's decay. 154 00:11:11,600 --> 00:11:15,360 Having lost up to a third of his body weight during hibernation, 155 00:11:15,360 --> 00:11:19,080 he's determined to keep these precious nutrients for himself. 156 00:11:44,400 --> 00:11:46,960 Despite emerging from his den early, 157 00:11:46,960 --> 00:11:49,560 this lone bear has hit the jackpot... 158 00:11:55,840 --> 00:11:57,320 ..but the stakes are high, 159 00:11:57,320 --> 00:12:00,560 and the majority of grizzlies won't bother venturing out 160 00:12:00,560 --> 00:12:03,280 until the consistent warm weather of spring. 161 00:12:09,760 --> 00:12:12,000 But that still seems a long way off. 162 00:12:16,400 --> 00:12:19,160 The snow shows no sign of letting up. 163 00:12:26,280 --> 00:12:30,320 All the animals here face the same basic challenge - 164 00:12:30,320 --> 00:12:33,400 finding enough food to survive until spring. 165 00:12:35,360 --> 00:12:38,360 Our crews are out across the region 166 00:12:38,360 --> 00:12:42,160 to capture the stories of how the wildlife is coping 167 00:12:42,160 --> 00:12:44,760 in these last days of winter. 168 00:12:53,560 --> 00:12:57,640 Yellowstone's elevated position and horseshoe of mountains 169 00:12:57,640 --> 00:13:01,640 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. 171 00:13:06,760 --> 00:13:10,200 This leads to prolonged periods of extreme weather. 172 00:13:20,560 --> 00:13:22,880 When the snow melts in spring, 173 00:13:22,880 --> 00:13:27,960 it feeds into a thousand rivers and streams across Yellowstone. 174 00:13:27,960 --> 00:13:33,040 These 2,500 miles of running water are hugely important, 175 00:13:33,040 --> 00:13:35,040 not just for Yellowstone, 176 00:13:35,040 --> 00:13:37,720 but they provide an essential resource 177 00:13:37,720 --> 00:13:40,120 for millions of people and animals 178 00:13:40,120 --> 00:13:42,720 right across the Western United States. 179 00:13:45,880 --> 00:13:49,960 Scientists constantly monitor how much snow is building up here 180 00:13:49,960 --> 00:13:52,320 during the winter. 181 00:13:52,320 --> 00:13:54,920 To understand what's going on this year, 182 00:13:54,920 --> 00:13:57,960 I am joining a team up in the Beartooth Mountains 183 00:13:57,960 --> 00:14:00,960 in the north-east on their cool commute to work. 184 00:14:03,480 --> 00:14:06,960 This is possibly the best office I have ever been to. 185 00:14:06,960 --> 00:14:08,000 THEY LAUGH 186 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. 189 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 191 00:14:24,200 --> 00:14:28,360 who spends the winter carrying out health checks on the snow. 192 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

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