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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

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