1 00:07:42,000 --> 00:14:35,000 We need to, 2 00:14:35,000 --> 00:14:26,000 they will give you. 3 00:15:06,000 --> 00:07:37,000 This 4 00:13:07,000 --> 00:16:18,000 is our planet. 5 00:07:17,000 --> 00:15:39,000 It contains an astonishing variety 6 00:06:50,000 --> 00:09:01,000 of landscapes 7 00:13:21,000 --> 00:12:22,000 and climates. 8 00:09:26,000 --> 00:12:37,000 Since life began 9 00:16:47,000 --> 00:03:49,000 around 4,000 10 00:08:59,000 --> 00:17:00,000 million years ago, 11 00:17:00,000 --> 00:15:01,000 it has gone through 12 00:02:42,000 --> 00:04:54,000 extraordinary changes and its climate 13 00:10:34,000 --> 00:04:26,000 and in the space that their on it. 14 00:13:53,000 --> 00:12:24,000 But no, 15 00:12:24,000 --> 00:15:37,000 it seems that our planet is being transformed 16 00:01:59,000 --> 00:12:00,000 not by natural events 17 00:04:11,000 --> 00:08:02,000 the by the actions of. 18 00:08:42,000 --> 00:07:43,000 One species 19 00:13:14,000 --> 00:05:55,000 mankind. 20 00:04:16,000 --> 00:16:27,000 You know I belong to the most 21 00:06:18,000 --> 00:11:30,000 they spared and dominant species and I more 22 00:03:51,000 --> 00:14:21,000 or less. 23 00:10:32,000 --> 00:08:45,000 We live on 27 years ago I presented 24 00:13:25,000 --> 00:12:06,000 life on Earth. 25 00:12:06,000 --> 00:14:07,000 A series of traces 26 00:01:38,000 --> 00:03:59,000 the evolution of life 27 00:10:39,000 --> 00:02:51,000 from its very beginnings. 28 00:05:18,000 --> 00:10:10,000 I set out to find them film 29 00:16:10,000 --> 00:08:42,000 representative species 30 00:13:02,000 --> 00:03:04,000 of the whole animal kingdom 31 00:09:04,000 --> 00:14:46,000 in all it's marvelous and wonderful for us. 32 00:02:33,000 --> 00:05:04,000 In the final program 33 00:12:34,000 --> 00:09:47,000 I dealt with the arrival of human beings. 34 00:05:38,000 --> 00:10:51,000 Still a recent event in the history of our planet. 35 00:06:24,000 --> 00:15:26,000 There is no scientific evidence whatsoever. 36 00:15:26,000 --> 00:15:07,000 The suppose indeed that 37 00:03:38,000 --> 00:05:20,000 man will stay on earth should be any longer 38 00:10:50,000 --> 00:18:20,000 than that 39 00:05:31,000 --> 00:02:13,000 of the dinosaurs, 40 00:02:13,000 --> 00:10:43,000 but although 41 00:05:04,000 --> 00:10:16,000 denying a special place in the world, 42 00:10:16,000 --> 00:17:56,000 maybe 43 00:07:47,000 --> 00:18:38,000 becoming a modest. 44 00:18:38,000 --> 00:14:32,000 The fact remains that man has an unprecedented control 45 00:05:33,000 --> 00:03:54,000 over the world 46 00:09:54,000 --> 00:06:06,000 and everything in it. 47 00:06:06,000 --> 00:13:46,000 And so 48 00:18:16,000 --> 00:16:48,000 whether he likes it or not. 49 00:16:48,000 --> 00:11:40,000 What happens next. 50 00:11:40,000 --> 00:08:51,000 It is very largely 51 00:02:42,000 --> 00:10:02,000 up to him. 52 00:10:25,000 --> 00:14:16,000 Up to us. 53 00:14:16,000 --> 00:04:19,000 Indeed, 54 00:04:19,000 --> 00:06:11,000 at the time I spoke those words. 55 00:06:11,000 --> 00:07:43,000 I had no idea that we have been the 56 00:06:24,000 --> 00:15:55,000 might have unleashed forces 57 00:05:56,000 --> 00:12:16,000 that in the 58 00:15:46,000 --> 00:07:08,000 hotel in the climate of fear. 59 00:14:38,000 --> 00:19:28,000 Good. 60 00:19:28,000 --> 00:08:11,000 The destruction of towns and cities 61 00:13:21,000 --> 00:09:53,000 in the southern United States 62 00:14:03,000 --> 00:07:44,000 be linked 63 00:12:04,000 --> 00:17:15,000 to the collapse of glasses 64 00:04:16,000 --> 00:13:16,000 in green. 65 00:04:16,000 --> 00:06:56,000 If 66 00:11:06,000 --> 00:18:16,000 going people 67 00:07:17,000 --> 00:09:48,000 but is the stuff floating around 68 00:04:49,000 --> 00:14:39,000 if out there. 69 00:12:23,000 --> 00:11:34,000 Might drought 70 00:16:24,000 --> 00:11:45,000 in the Amazon 71 00:17:35,000 --> 00:10:07,000 that killed thousands of fish 72 00:18:17,000 --> 00:16:50,000 be connected to the intensity of forest fires 73 00:05:51,000 --> 00:18:11,000 in Australia. 74 00:04:12,000 --> 00:06:04,000 And are these events related 75 00:11:24,000 --> 00:05:06,000 to one of Europe's hottest ever 76 00:08:56,000 --> 00:13:26,000 farmers. 77 00:19:17,000 --> 00:13:50,000 Which led to the death of 27,000 people. 78 00:07:34,000 --> 00:04:26,000 In every part of the world. 79 00:04:26,000 --> 00:12:30,000 New climatic extremes are now being the court. 80 00:12:30,000 --> 00:04:11,000 Our weather 81 00:10:51,000 --> 00:06:02,000 is in turmoil. 82 00:09:46,000 --> 00:16:17,000 During the last 50 years 83 00:08:38,000 --> 00:05:21,000 I've been lucky enough to spend my time traveling 84 00:09:21,000 --> 00:06:22,000 around the world 85 00:13:42,000 --> 00:19:13,000 looking at its wonders 86 00:09:24,000 --> 00:07:45,000 and its spenders 87 00:08:36,000 --> 00:20:47,000 during a time of course, 88 00:20:47,000 --> 00:05:09,000 I've seen many changes 89 00:09:09,000 --> 00:20:09,000 some good 90 00:14:00,000 --> 00:09:21,000 many bad 91 00:07:02,000 --> 00:06:54,000 but it's only in the last decade 92 00:14:44,000 --> 00:12:55,000 that I've come 93 00:16:25,000 --> 00:08:07,000 to think about the question 94 00:12:27,000 --> 00:10:58,000 as to whether or not 95 00:16:58,000 --> 00:07:11,000 what I or anybody else has been doing 96 00:16:11,000 --> 00:14:23,000 could have contributed to the change 97 00:18:03,000 --> 00:13:24,000 in the climate 98 00:17:24,000 --> 00:20:45,000 of the planet. 99 00:20:45,000 --> 00:17:17,000 It is undoubtedly taking place. 100 00:13:51,000 --> 00:05:13,000 In recent years, 101 00:05:13,000 --> 00:19:34,000 scientists have been collaborating 102 00:12:15,000 --> 00:15:49,000 on one of the most urgent and ambitious endeavors in our history. 103 00:15:49,000 --> 00:12:13,000 They're trying to understand the unprecedented changes in our time 104 00:12:13,000 --> 00:09:57,000 . And they're linking those changes 105 00:16:17,000 --> 00:19:49,000 to the rising temperatures that they're measuring 106 00:07:10,000 --> 00:18:52,000 had thousands of weather stations around the world. 107 00:06:23,000 --> 00:13:23,000 So, 108 00:13:23,000 --> 00:07:34,000 how much 109 00:11:04,000 --> 00:14:35,000 have global temperatures 110 00:18:16,000 --> 00:06:27,000 well 111 00:10:17,000 --> 00:10:08,000 by just over 112 00:14:28,000 --> 00:17:41,000 nought-point 6 of one degree Celsius. 113 00:17:41,000 --> 00:17:12,000 Since 1900 114 00:13:53,000 --> 00:09:46,000 how can such a seemingly small rise 115 00:13:16,000 --> 00:19:37,000 create so much havoc 116 00:11:48,000 --> 00:13:39,000 with the planet's climate. 117 00:08:23,000 --> 00:06:24,000 Well, 118 00:06:24,000 --> 00:16:14,000 that figure 119 00:07:15,000 --> 00:16:46,000 nought-point 6 degrees 120 00:05:57,000 --> 00:07:28,000 is only an average 121 00:18:18,000 --> 00:19:20,000 while some places have cooled a little 122 00:10:41,000 --> 00:17:11,000 some 123 00:22:01,000 --> 00:22:02,000 like the Arctic 124 00:08:43,000 --> 00:06:14,000 has warmed 125 00:10:04,000 --> 00:20:45,000 by up to 3 degrees. 126 00:20:18,000 --> 00:14:52,000 The frozen surface of the sea creates a highly specialized 127 00:14:52,000 --> 00:08:53,000 environment. 128 00:18:36,000 --> 00:06:39,000 And an extraordinary range of animals 129 00:14:09,000 --> 00:20:02,000 have evolved to live both above and below the ice. 130 00:09:29,000 --> 00:18:51,000 But the Arctic is now melting so fast 131 00:07:32,000 --> 00:11:54,000 that the whole intricate web of wildlife 132 00:15:24,000 --> 00:08:05,000 is under 3. 133 00:16:37,000 --> 00:18:19,000 And no species is more at risk 134 00:07:40,000 --> 00:09:03,000 than the animals at the top of the food chain, 135 00:09:03,000 --> 00:07:04,000 the polar bears. 136 00:08:36,000 --> 00:07:07,000 The turn of the year, 137 00:07:07,000 --> 00:20:18,000 that is when females give birth to 138 00:08:49,000 --> 00:22:39,000 raise their cut. 139 00:22:21,000 --> 00:16:42,000 By this time 140 00:22:42,000 --> 00:15:15,000 mothers will not have eaten for many months, 141 00:15:15,000 --> 00:07:28,000 and yet they now have extra mouths to feed. 142 00:12:53,000 --> 00:10:15,000 Their main prey are seals 143 00:22:25,000 --> 00:22:36,000 but they can only hunt 144 00:14:47,000 --> 00:18:39,000 before the ice melts, 145 00:18:39,000 --> 00:15:30,000 but it does that 146 00:22:20,000 --> 00:21:31,000 they must come ashore 147 00:08:52,000 --> 00:22:14,000 with all the reserves only to raise their cubs. 148 00:22:05,000 --> 00:23:36,000 And on land. 149 00:23:36,000 --> 00:17:27,000 There are no 150 00:09:28,000 --> 00:16:18,000 to hunt. 151 00:20:29,000 --> 00:08:30,000 Now 152 00:12:30,000 --> 00:18:02,000 because the ice is melting earlier each year 153 00:10:53,000 --> 00:12:14,000 mothers are going hungry 154 00:15:44,000 --> 00:19:16,000 and the less able to provide for their Cup. 155 00:21:23,000 --> 00:23:24,000 In Hudson's Bay 156 00:11:45,000 --> 00:15:25,000 Dr. 157 00:19:05,000 --> 00:14:06,000 Nick to London 158 00:23:16,000 --> 00:12:18,000 sets out each spring 159 00:18:08,000 --> 00:20:09,000 to track down the polar 160 00:23:39,000 --> 00:13:30,000 bears 161 00:18:20,000 --> 00:18:11,000 and check on their health. 162 00:18:33,000 --> 00:11:44,000 They been there. 163 00:21:07,000 --> 00:10:20,000 I've been working on that all of us here in the Churchill area 164 00:10:20,000 --> 00:12:33,000 since the early 1980s over the last 25 years 165 00:19:33,000 --> 00:24:34,000 and we're looking at the population 166 00:11:15,000 --> 00:20:07,000 ecology of polar bears in relation to tie not of change 167 00:09:58,000 --> 00:17:29,000 is population is the most 168 00:21:49,000 --> 00:18:31,000 studied population anywhere in the world. 169 00:13:06,000 --> 00:16:58,000 By tracking the Bears with such regularity 170 00:08:49,000 --> 00:12:09,000 Miquelon 171 00:18:59,000 --> 00:14:10,000 and his team 172 00:19:00,000 --> 00:20:12,000 have discovered that their numbers have declined 173 00:11:43,000 --> 00:09:54,000 by nearly a quarter 174 00:18:44,000 --> 00:24:15,000 since he first started stuck. 175 00:18:18,000 --> 00:15:41,000 First he needs to find the best. 176 00:15:41,000 --> 00:21:31,000 He then 177 00:10:32,000 --> 00:09:05,000 tranquilized system so that he can check their body weight 178 00:14:45,000 --> 00:12:26,000 to assess their health. 179 00:24:05,000 --> 00:14:39,000 The team has to work quickly to make their checks on their family 180 00:21:49,000 --> 00:21:30,000 before the mother wakes up. 181 00:19:52,000 --> 00:13:14,000 24 and a half pounds 182 00:17:44,000 --> 00:12:55,000 for Cobb one 183 00:22:46,000 --> 00:25:16,000 fun 184 00:14:57,000 --> 00:15:18,000 on larger bears 185 00:16:29,000 --> 00:22:02,000 we take the weight and their length and weak calculate what we 186 00:22:02,000 --> 00:19:45,000 call a body-body condition index. 187 00:19:45,000 --> 00:19:08,000 It's essentially the weight of the bear divided by its length 188 00:20:28,000 --> 00:25:08,000 Square 189 00:20:09,000 --> 00:23:11,000 and it gives us a means to compare bears 190 00:16:02,000 --> 00:21:43,000 between years over years 191 00:21:24,000 --> 00:13:17,000 what condition there and when the come ashore and we found that 192 00:13:57,000 --> 00:24:08,000 over the past 25 193 00:23:19,000 --> 00:23:12,000 years or so low that the condition of these bears us declining. 194 00:17:28,000 --> 00:24:21,000 Cobb 2 straight line leg zero 6-9. 195 00:24:53,000 --> 00:10:26,000 Here we've got a female with a trip letter. 196 00:10:26,000 --> 00:16:28,000 It's a very rare sight to find triplets. 197 00:16:28,000 --> 00:15:39,000 In the fall time 198 00:20:30,000 --> 00:19:21,000 one of the Cubs is 199 00:15:12,000 --> 00:14:15,000 a runt of the litter and it's not likely to survive. 200 00:18:27,000 --> 00:16:38,000 20 years ago. 201 00:16:38,000 --> 00:20:00,000 It wasn't all that uncommon to find triplets. 202 00:20:00,000 --> 00:12:01,000 In the fall. 203 00:12:01,000 --> 00:16:32,000 About 5% of the bears. 204 00:16:32,000 --> 00:21:54,000 We caught more females with cubs had triplets. 205 00:21:25,000 --> 00:18:07,000 We're seeing triplets born in the spring, 206 00:18:07,000 --> 00:12:18,000 but we're not 207 00:24:38,000 --> 00:15:22,000 one or more of those cubs is not making it through the fall. 208 00:15:22,000 --> 00:13:15,000 We're seeing reductions in Cup survival, 209 00:13:15,000 --> 00:15:06,000 things of that nature, 210 00:15:06,000 --> 00:24:27,000 all related to climb out of form. 211 00:27:01,000 --> 00:21:43,000 The ice is now melting 212 00:25:13,000 --> 00:21:54,000 3 weeks earlier 213 00:10:35,000 --> 00:17:16,000 each year. 214 00:17:16,000 --> 00:17:40,000 That means that there is 3 weeks less feeding time for pregnant 215 00:19:00,000 --> 00:21:40,000 mother. 216 00:13:23,000 --> 00:15:25,000 Once they come ashore in the sea ice melts 217 00:23:45,000 --> 00:24:48,000 the bears are forced to fast for anywhere from 4 months for most 218 00:24:48,000 --> 00:18:01,000 parents up to 8 months for a female such 219 00:26:11,000 --> 00:12:42,000 this 220 00:17:42,000 --> 00:22:02,000 here. 221 00:22:02,000 --> 00:11:24,000 Who would have come ashore last summer 222 00:18:04,000 --> 00:11:47,000 and it's not hard to see all meal since last July. 223 00:19:33,000 --> 00:12:36,000 If the current warming trend continues 224 00:21:06,000 --> 00:12:17,000 the future 225 00:15:57,000 --> 00:12:28,000 looks bleak 226 00:16:58,000 --> 00:16:49,000 for polar bears. 227 00:24:13,000 --> 00:17:35,000 It's not just that sea level. 228 00:24:26,000 --> 00:21:28,000 Is melting at Sutton alarming rate. 229 00:21:39,000 --> 00:27:42,000 The global temperature rise is also being felt much higher up. 230 00:15:12,000 --> 00:15:23,000 Mountain glasses 231 00:20:33,000 --> 00:19:34,000 all over the planet 232 00:11:45,000 --> 00:23:45,000 also now. 233 00:15:49,000 --> 00:27:50,000 The mountain ranges of Patagonia 234 00:22:31,000 --> 00:27:41,000 rundown 235 00:17:32,000 --> 00:17:24,000 towards a sudden tip of South America. 236 00:28:17,000 --> 00:19:50,000 This is the, 237 00:19:50,000 --> 00:14:31,000 in the northern 238 00:18:41,000 --> 00:19:42,000 Patagonian Ice Field 239 00:13:43,000 --> 00:15:37,000 it starts almost 2.5 thousand meters above sea level. 240 00:27:10,000 --> 00:26:02,000 This remote part of Patagonia 241 00:13:53,000 --> 00:18:16,000 is one of the coldest places on earth outside the poll nobody. 242 00:18:41,000 --> 00:21:03,000 JC allergist Dr. Stephen Harmison 243 00:26:13,000 --> 00:28:35,000 has been working in locations like the meth 244 00:15:56,000 --> 00:18:27,000 for 20 years 245 00:26:37,000 --> 00:20:00,000 he's been studying how they've changed over that time. 246 00:23:16,000 --> 00:23:57,000 The Patagonian Ice Field, 247 00:23:57,000 --> 00:13:39,000 the most dynamic ice fields on Earth. 248 00:26:11,000 --> 00:28:03,000 To understand climate change in the southern hemisphere. 249 00:28:14,000 --> 00:23:26,000 We need to go to places like this. 250 00:23:26,000 --> 00:21:59,000 He gives a very good record of climate change over the whole range 251 00:21:59,000 --> 00:16:00,000 of time to go. 252 00:22:02,000 --> 00:24:33,000 The ground I'm standing on 253 00:21:34,000 --> 00:15:35,000 that last year, 254 00:15:35,000 --> 00:23:45,000 the net glass. 255 00:23:45,000 --> 00:22:29,000 It was here in about the 1870s and by about 19 the 1930s 256 00:13:10,000 --> 00:16:41,000 it will be treated to this 257 00:23:51,000 --> 00:26:02,000 shoreline the lake shoreline 258 00:23:13,000 --> 00:17:04,000 and since then, 259 00:17:04,000 --> 00:21:15,000 since 1930s of courses 260 00:24:55,000 --> 00:19:06,000 retreated another 261 00:24:06,000 --> 00:29:48,000 2.5 to 3 kilometers perhaps 2 miles 262 00:27:19,000 --> 00:27:50,000 back up this valley. 263 00:26:44,000 --> 00:27:45,000 We were hearing Martin 88 264 00:18:26,000 --> 00:28:38,000 is this the whole night was completely covered with icebergs. 265 00:17:09,000 --> 00:23:59,000 All. 266 00:22:24,000 --> 00:18:25,000 Some fake MySpace 267 00:27:35,000 --> 00:21:07,000 we hardly get our boats in the ice front 268 00:28:27,000 --> 00:19:20,000 and yet that's will go on that landscape is completely changed now 269 00:19:20,000 --> 00:19:52,000 . Russia's 270 00:21:22,000 --> 00:17:43,000 give us a very 271 00:25:13,000 --> 00:28:06,000 visual record of climate change and and the they should be no 272 00:28:06,000 --> 00:29:28,000 doubt the climate change is happening. 273 00:29:28,000 --> 00:18:31,000 If we look at what glasses and doing all around the world, 274 00:18:31,000 --> 00:27:43,000 not just these ones on the north Patagonian Ice Field but glasses 275 00:28:53,000 --> 00:25:44,000 everywhere. 276 00:25:44,000 --> 00:14:26,000 They're all in recession pretty well 277 00:21:56,000 --> 00:20:09,000 and and that gives us a very visual record what exactly is going 278 00:20:09,000 --> 00:17:10,000 on in most one. 279 00:19:27,000 --> 00:14:39,000 The rate of that class Immelt 280 00:21:09,000 --> 00:21:40,000 is now accelerating. 281 00:20:32,000 --> 00:26:03,000 In southern Greenland. 282 00:26:03,000 --> 00:24:35,000 The amount of ice flowing into the sea 283 00:29:35,000 --> 00:22:18,000 has doubled in the last 10 years. 284 00:28:10,000 --> 00:17:01,000 This 285 00:20:51,000 --> 00:14:53,000 is slowly but steadily 286 00:19:23,000 --> 00:23:55,000 causing sea levels to rise. 287 00:17:44,000 --> 00:15:36,000 8,000 miles away. 288 00:15:36,000 --> 00:22:38,000 The inhabitants of the tiny Pacific islands 289 00:26:18,000 --> 00:21:59,000 of Tuvalu 290 00:27:29,000 --> 00:18:33,000 are already facing the realities of an invading sea. 291 00:19:14,000 --> 00:29:37,000 As temperatures rise so do those of the sea, 292 00:29:37,000 --> 00:29:59,000 causing oceans to expand 293 00:21:00,000 --> 00:15:51,000 and that 294 00:20:51,000 --> 00:28:32,000 coupled with the dresser melt 295 00:19:33,000 --> 00:30:55,000 means that sea levels will rise even higher. 296 00:18:57,000 --> 00:17:08,000 Earlier this year 297 00:21:38,000 --> 00:18:11,000 tides rose to their highest level ever known 298 00:21:51,000 --> 00:23:03,000 flooding the homes of the islanders. 299 00:16:30,000 --> 00:30:21,000 They have been troubled by this problem 300 00:18:02,000 --> 00:26:44,000 for the last few decades, 301 00:26:44,000 --> 00:28:05,000 but according to 302 00:16:16,000 --> 00:26:26,000 Diana semi 303 00:17:07,000 --> 00:16:49,000 it's getting progressively worse. 304 00:21:41,000 --> 00:28:04,000 Most of the people now experiencing this high tide is much higher 305 00:29:04,000 --> 00:16:35,000 than 306 00:23:15,000 --> 00:25:35,000 it 307 00:29:05,000 --> 00:16:26,000 hasn't 308 00:21:06,000 --> 00:27:56,000 won and. 309 00:20:22,000 --> 00:23:25,000 If next year is going to happen like this and much higher than 310 00:20:46,000 --> 00:28:36,000 this year 311 00:18:17,000 --> 00:22:07,000 then 312 00:28:57,000 --> 00:29:49,000 I don't think there's any future for him to. 313 00:16:38,000 --> 00:31:28,000 Through Mario Silva 314 00:20:39,000 --> 00:26:40,000 is now 2 values 315 00:31:50,000 --> 00:19:52,000 disaster coordinator. 316 00:19:56,000 --> 00:21:36,000 The 317 00:28:16,000 --> 00:27:57,000 prediction for tomorrow. 318 00:27:57,000 --> 00:26:58,000 The highest, 319 00:26:58,000 --> 00:19:59,000 but now 320 00:31:49,000 --> 00:31:21,000 looking at this time. 321 00:31:21,000 --> 00:22:12,000 Boats 322 00:28:12,000 --> 00:19:13,000 he flooded. 323 00:19:14,000 --> 00:25:04,000 And so, 324 00:25:04,000 --> 00:20:15,000 so it's them 325 00:17:46,000 --> 00:26:47,000 all their properties is they have been cowed 326 00:30:57,000 --> 00:19:38,000 tour 327 00:23:49,000 --> 00:33:00,000 guide binning in all those would be 328 00:24:31,000 --> 00:27:42,000 damaged by this. 329 00:27:42,000 --> 00:19:13,000 See what I. 330 00:28:18,000 --> 00:20:49,000 You can see that 331 00:24:19,000 --> 00:22:50,000 our rubbish everywhere 332 00:17:21,000 --> 00:25:22,000 and you're you seeing that 333 00:29:52,000 --> 00:33:03,000 the kids swimming 334 00:27:44,000 --> 00:18:05,000 and those 335 00:28:45,000 --> 00:18:27,000 waste area, 336 00:18:27,000 --> 00:23:07,000 I think 337 00:27:47,000 --> 00:32:27,000 a big 338 00:22:28,000 --> 00:23:09,000 health problem for kids 339 00:29:09,000 --> 00:24:40,000 and especially his 340 00:29:41,000 --> 00:18:23,000 people thing these houses and. 341 00:27:38,000 --> 00:21:49,000 Very worried 342 00:28:51,000 --> 00:18:02,000 flood 343 00:29:43,000 --> 00:22:04,000 they have 344 00:28:15,000 --> 00:29:45,000 at 345 00:18:26,000 --> 00:23:46,000 door 346 00:20:37,000 --> 00:20:08,000 climbing outside 347 00:29:48,000 --> 00:24:49,000 inside, 348 00:24:49,000 --> 00:17:31,000 but the flow this company here. 349 00:30:43,000 --> 00:22:34,000 Yes. 350 00:22:34,000 --> 00:29:04,000 All my 351 00:18:05,000 --> 00:22:55,000 really. 352 00:30:25,000 --> 00:18:26,000 PC 353 00:29:16,000 --> 00:31:07,000 fear well you here 354 00:27:18,000 --> 00:31:08,000 only 355 00:18:09,000 --> 00:21:20,000 here and at times, 356 00:21:20,000 --> 00:32:02,000 calling them but now this year as they 357 00:19:03,000 --> 00:24:53,000 really 358 00:31:23,000 --> 00:23:14,000 high time 359 00:32:14,000 --> 00:27:16,000 inside the house. 360 00:27:16,000 --> 00:29:27,000 This is the first time 361 00:19:38,000 --> 00:31:18,000 I think to 362 00:33:09,000 --> 00:19:52,000 to move out because and freight. 363 00:26:14,000 --> 00:33:44,000 I don't 364 00:21:45,000 --> 00:22:16,000 know placed move. 365 00:29:29,000 --> 00:25:13,000 But on the islands where the highest point is less than 5 meters 366 00:25:13,000 --> 00:28:54,000 above sea level. 367 00:28:54,000 --> 00:22:17,000 There is nowhere else to go. 368 00:22:17,000 --> 00:26:28,000 There are already plans 369 00:30:38,000 --> 00:18:20,000 for some of the population 370 00:23:10,000 --> 00:22:11,000 to be evacuated 371 00:26:11,000 --> 00:22:32,000 to New Zealand. 372 00:22:27,000 --> 00:26:37,000 But 373 00:30:17,000 --> 00:29:08,000 warming seas 374 00:33:48,000 --> 00:31:19,000 don't only mean 375 00:18:50,000 --> 00:27:01,000 rising seas. 376 00:27:01,000 --> 00:20:53,000 They have other implications, 377 00:20:53,000 --> 00:25:53,000 too. 378 00:20:12,000 --> 00:18:34,000 In August 2005 379 00:29:24,000 --> 00:25:58,000 Hurricane Katrina struck the coastline of Louisiana, 380 00:25:58,000 --> 00:19:59,000 Mississippi. 381 00:31:12,000 --> 00:24:06,000 Wasn't the high sea temperatures that many Katrina so intense. 382 00:26:40,000 --> 00:34:41,000 A typical hurricane, 383 00:34:41,000 --> 00:30:33,000 an atmospheric disturbance over Africa 384 00:32:54,000 --> 00:31:16,000 but it's here in the Gulf of Mexico 385 00:19:47,000 --> 00:21:59,000 that they grow to their full destructive power. 386 00:20:50,000 --> 00:33:21,000 How you can expert Greg Holland 387 00:21:22,000 --> 00:24:05,000 has been investigating what fueled Katrina's force. 388 00:28:15,000 --> 00:29:08,000 The process requires that the oceans be warmer than about 26 389 00:30:08,000 --> 00:26:00,000 degrees Celsius. 390 00:26:00,000 --> 00:33:40,000 The tropical 391 00:22:21,000 --> 00:26:02,000 to get the hurricane started and 392 00:30:02,000 --> 00:33:32,000 Jordanian 393 00:23:23,000 --> 00:23:25,000 from the surface high up into the atmosphere 394 00:20:36,000 --> 00:20:27,000 and what this means 395 00:25:07,000 --> 00:28:48,000 the ocean heat energy 396 00:32:28,000 --> 00:28:42,000 is used to fuel the development of the immensely powerful winds 397 00:24:23,000 --> 00:20:15,000 and it is so powerful, 398 00:20:15,000 --> 00:20:58,000 he could run the entire electric grid of the United States for 399 00:20:58,000 --> 00:31:58,000 several weeks. 400 00:22:54,000 --> 00:35:45,000 Really destructive winds are in the region. 401 00:35:45,000 --> 00:31:07,000 Just outside the eye of the hurricane 402 00:27:28,000 --> 00:29:21,000 and this is how strong they shred the surface of the ocean into a 403 00:29:21,000 --> 00:36:12,000 morass of sea and spray 404 00:27:43,000 --> 00:25:34,000 to become so think 405 00:33:44,000 --> 00:22:57,000 that the Mitchell becomes impossible to tell a difference between 406 00:24:27,000 --> 00:20:08,000 air and water. 407 00:26:10,000 --> 00:27:12,000 And the one the tropical oceans, 408 00:27:12,000 --> 00:24:04,000 the more destructive the hurricane can out. 409 00:26:49,000 --> 00:35:22,000 When Harry can Katrina breached the levees of New Orleans 410 00:26:33,000 --> 00:32:06,000 sea temperatures in the Gulf of Mexico and the Atlantic were the 411 00:32:06,000 --> 00:21:48,000 highest ever recorded. 412 00:35:12,000 --> 00:29:04,000 In the United States. 413 00:29:04,000 --> 00:30:47,000 The intensity and sheer destructiveness of the Heineken 414 00:36:07,000 --> 00:26:29,000 became the turning point 415 00:31:49,000 --> 00:25:51,000 in the debate about global warming. 416 00:35:01,000 --> 00:35:12,000 Although scientists 417 00:22:23,000 --> 00:28:56,000 will not say that one particular had can is caused by climate 418 00:30:36,000 --> 00:27:27,000 change. 419 00:27:27,000 --> 00:31:30,000 Many are now making the connection between global warming 420 00:37:20,000 --> 00:33:54,000 rising sea temperatures and the increasing strength of Vatican. 421 00:35:41,000 --> 00:28:34,000 2005 it was the worst season 422 00:33:24,000 --> 00:30:35,000 ever recorded. 423 00:33:49,000 --> 00:36:20,000 And Greg Holland 424 00:25:01,000 --> 00:33:32,000 is one of those who believes 425 00:21:13,000 --> 00:37:34,000 that worse is yet to come. 426 00:35:17,000 --> 00:32:41,000 As you can see there's a massive rebuilding program underway, 427 00:32:41,000 --> 00:31:33,000 but unfortunately this stretch of coast song 428 00:21:34,000 --> 00:21:36,000 will certainly be revisited by hurricanes, 429 00:21:36,000 --> 00:33:26,000 like a trainer 430 00:30:47,000 --> 00:30:09,000 and because of global climate change 431 00:37:39,000 --> 00:28:01,000 we going to be more intense 432 00:23:02,000 --> 00:35:12,000 more destructive 433 00:28:03,000 --> 00:31:24,000 and possibly more frequent. 434 00:31:18,000 --> 00:33:49,000 It's a grim warning 435 00:31:40,000 --> 00:32:33,000 but is global warming of the changes we're now seeing 436 00:22:14,000 --> 00:27:24,000 really 437 00:32:04,000 --> 00:32:15,000 a new phenomenon 438 00:37:35,000 --> 00:21:57,000 in the Earth's history. 439 00:30:33,000 --> 00:31:14,000 These days, 440 00:31:14,000 --> 00:30:56,000 when we talk of climate change, 441 00:30:56,000 --> 00:23:27,000 we tend 442 00:28:47,000 --> 00:28:08,000 to mean changes 443 00:33:28,000 --> 00:22:01,000 that we ourselves have brought about, 444 00:22:01,000 --> 00:36:22,000 but of course the climate of the Earth 445 00:25:23,000 --> 00:25:45,000 has always been changing, 446 00:25:45,000 --> 00:33:06,000 either because of some great, 447 00:33:06,000 --> 00:31:47,000 cosmic event 448 00:36:37,000 --> 00:29:09,000 like a collision with a meteorite 449 00:37:49,000 --> 00:33:11,000 or else because of some more slower 450 00:22:52,000 --> 00:26:43,000 gradual change 451 00:34:23,000 --> 00:37:35,000 in the amount of energy that the Earth receives 452 00:24:26,000 --> 00:35:56,000 from the sun. 453 00:29:08,000 --> 00:30:28,000 The 454 00:34:08,000 --> 00:37:01,000 reborn rearguard. 455 00:25:38,000 --> 00:38:28,000 It's the sun 456 00:27:59,000 --> 00:37:01,000 that provides our planet with warmth and light. 457 00:37:43,000 --> 00:24:44,000 Why 458 00:36:14,000 --> 00:38:34,000 when 459 00:34:16,000 --> 00:24:57,000 you know. 460 00:37:10,000 --> 00:23:42,000 Not the amount amenities 461 00:31:32,000 --> 00:27:04,000 that the Earth receives from the sun 462 00:32:44,000 --> 00:37:54,000 there. 463 00:31:29,000 --> 00:34:59,000 You know. 464 00:26:50,000 --> 00:24:54,000 In cycles of tense and often hundreds of thousands of years 465 00:30:24,000 --> 00:38:44,000 the earth 466 00:26:25,000 --> 00:22:58,000 tilts and changes it orbits around the sun 467 00:31:08,000 --> 00:32:19,000 and with each cycle 468 00:37:39,000 --> 00:23:22,000 the patterns of light energy playing on the 469 00:33:32,000 --> 00:26:43,000 changes. 470 00:34:54,000 --> 00:23:36,000 These natural changes 471 00:28:16,000 --> 00:25:27,000 have contributed 472 00:29:37,000 --> 00:36:29,000 to dramatic shift in my client 473 00:27:41,000 --> 00:25:53,000 in the time of the dinosaurs. 474 00:25:53,000 --> 00:37:14,000 It was much warmer than it is now. 475 00:36:35,000 --> 00:27:27,000 He would have found dinosaurs 476 00:33:47,000 --> 00:23:29,000 roaming in forests, 477 00:23:29,000 --> 00:37:40,000 close to the north and south poles. 478 00:31:23,000 --> 00:26:35,000 70 million years after that 479 00:33:05,000 --> 00:30:37,000 much of our Paris was freezing. 480 00:30:37,000 --> 00:32:00,000 It's become locked in a cycle of success if ice 481 00:35:40,000 --> 00:25:41,000 ages. 482 00:30:34,000 --> 00:33:57,000 If the city of New York had existed 160. 483 00:36:17,000 --> 00:36:18,000 Thousand years ago 484 00:26:39,000 --> 00:33:49,000 it would have. 485 00:33:59,000 --> 00:34:42,000 Been on the edge of an ice pack some 2 kilometers high 486 00:27:13,000 --> 00:36:16,000 and yet global temperatures were only 4 degrees lower than they 487 00:36:16,000 --> 00:28:47,000 are today. 488 00:32:30,000 --> 00:29:02,000 30 thousand years later, 489 00:29:02,000 --> 00:26:53,000 the same city 490 00:30:33,000 --> 00:36:05,000 would have been under 5 meters of water 491 00:33:26,000 --> 00:33:19,000 yet global temperatures were less than 2 degrees warmer. 492 00:30:12,000 --> 00:34:04,000 This see-sawing in the Earth's climate 493 00:40:24,000 --> 00:38:16,000 was driven by natural forces 494 00:25:27,000 --> 00:30:08,000 long before mankind 495 00:33:48,000 --> 00:38:48,000 appear. 496 00:38:25,000 --> 00:35:46,000 But there's another 497 00:25:27,000 --> 00:33:19,000 powerful influence on our climate. 498 00:33:19,000 --> 00:40:00,000 If we have to take into account 499 00:40:11,000 --> 00:34:32,000 among the 500 00:38:42,000 --> 00:34:45,000 many glasses that make up the air we breathe, 501 00:34:45,000 --> 00:29:16,000 there is one 502 00:32:56,000 --> 00:25:58,000 that is particularly important 503 00:30:38,000 --> 00:30:09,000 carbon dioxide 504 00:25:10,000 --> 00:29:40,000 it 505 00:33:20,000 --> 00:24:52,000 traps the sun's energy 506 00:28:42,000 --> 00:33:43,000 and so keeps a panic. 507 00:26:27,000 --> 00:36:09,000 Greenhouse gases like carbon dioxide 508 00:26:50,000 --> 00:40:01,000 act as a blanket around the earth 509 00:29:32,000 --> 00:32:15,000 prevent in the sun's energy from reflecting back into space. 510 00:36:45,000 --> 00:28:06,000 Left. 511 00:41:10,000 --> 00:37:54,000 It's called the greenhouse effect and it prevented the planet from 512 00:37:54,000 --> 00:28:55,000 freezing 513 00:32:25,000 --> 00:34:36,000 since the earth began 514 00:32:57,000 --> 00:39:47,000 without 515 00:30:48,000 --> 00:25:01,000 the global temperature would be minus 19 516 00:25:02,000 --> 00:28:32,000 subsidies. 517 00:32:48,000 --> 00:28:49,000 On the face fit 518 00:32:49,000 --> 00:36:51,000 carbon dioxide seems to be a good thing 519 00:29:12,000 --> 00:39:55,000 it stops our planet from freezing and so sustains life on Earth 520 00:29:26,000 --> 00:27:57,000 and without it, 521 00:27:57,000 --> 00:33:30,000 no plant could grow because they need carbon to build their 522 00:33:30,000 --> 00:38:30,000 tissues. 523 00:40:26,000 --> 00:29:19,000 Leaves absorb the gas from the atmosphere 524 00:36:29,000 --> 00:32:50,000 through their pores. 525 00:39:07,000 --> 00:38:00,000 They then break down on the carbon dioxide molecules 526 00:31:52,000 --> 00:32:13,000 released the oxygen 527 00:39:23,000 --> 00:40:24,000 and retain the Cup. 528 00:39:20,000 --> 00:28:13,000 Over hundreds of millions of years 529 00:34:23,000 --> 00:34:04,000 the great forests 530 00:29:15,000 --> 00:41:56,000 so much carbon dioxide. 531 00:41:56,000 --> 00:42:17,000 Out of the atmosphere 532 00:34:28,000 --> 00:40:28,000 that they 533 00:27:19,000 --> 00:28:42,000 reduce the greenhouse effect and cool the planet down. 534 00:32:33,000 --> 00:38:24,000 When the trees died. 535 00:38:24,000 --> 00:33:15,000 They were buried 536 00:40:35,000 --> 00:34:36,000 and overtime 537 00:41:06,000 --> 00:36:18,000 crushed and compressed 538 00:40:38,000 --> 00:31:10,000 with the carbon still within 539 00:27:42,000 --> 00:39:53,000 in the ages that followed. 540 00:39:53,000 --> 00:36:15,000 These layers are slowly buried 541 00:39:45,000 --> 00:28:47,000 beneath the earth's surface. 542 00:30:00,000 --> 00:31:13,000 At this open cast coal mine in China, 543 00:31:13,000 --> 00:34:25,000 you can descend for 500m 544 00:38:55,000 --> 00:36:27,000 through layer upon layer of rock 545 00:42:27,000 --> 00:34:50,000 representing 10s of millions of years. 546 00:38:35,000 --> 00:29:47,000 Right at the bottom, 547 00:29:47,000 --> 00:34:07,000 a layer 548 00:39:27,000 --> 00:38:19,000 of what was once would and leaves 549 00:29:10,000 --> 00:42:40,000 and is now 550 00:32:11,000 --> 00:41:01,000 coal and. 551 00:42:06,000 --> 00:33:48,000 It's an ideal place 552 00:38:48,000 --> 00:35:40,000 for Professor Bob Spicer 553 00:41:00,000 --> 00:43:01,000 to studies appliances 554 00:32:32,000 --> 00:37:53,000 influence the climate. 555 00:37:53,000 --> 00:39:04,000 All that time ago. 556 00:38:49,000 --> 00:34:10,000 These leaves 557 00:38:00,000 --> 00:43:31,000 blast saw the light of day. 558 00:43:31,000 --> 00:33:33,000 Some 50 million years ago 559 00:28:34,000 --> 00:36:24,000 when they were 560 00:41:44,000 --> 00:37:55,000 on the trees 561 00:37:36,000 --> 00:29:20,000 taking in carbon dioxide and using the energy of the sun 562 00:39:20,000 --> 00:41:01,000 the fix that carbon 563 00:28:42,000 --> 00:37:32,000 into 564 00:28:53,000 --> 00:37:16,000 their tissues and leaves and twigs and the like. 565 00:37:16,000 --> 00:35:07,000 Now the original 566 00:36:50,000 --> 00:42:30,000 had a 567 00:35:41,000 --> 00:40:33,000 cooling effect on the atmosphere because they were 568 00:31:14,000 --> 00:39:25,000 taking carbon dioxide out 569 00:39:06,000 --> 00:32:07,000 and where we 570 00:38:17,000 --> 00:42:57,000 Burnley 571 00:36:29,000 --> 00:30:10,000 the call 572 00:34:30,000 --> 00:43:01,000 on the carbon. 573 00:43:01,000 --> 00:31:33,000 That's nice one, 574 00:31:33,000 --> 00:28:45,000 and put it back into the atmosphere. 575 00:28:45,000 --> 00:36:15,000 Today 576 00:42:35,000 --> 00:36:18,000 we have the opposite effect we warm up the atmosphere. 577 00:36:34,000 --> 00:43:24,000 Now 578 00:31:25,000 --> 00:40:47,000 all the coal is being carried up to the surface 579 00:29:28,000 --> 00:30:30,000 to be burned in the power station, 580 00:30:30,000 --> 00:38:23,000 which provides electricity for hundreds of thousands of people. 581 00:31:08,000 --> 00:34:19,000 Oil and gas 582 00:42:19,000 --> 00:41:30,000 Nicol also 583 00:31:21,000 --> 00:29:02,000 fossil fuel. 584 00:42:56,000 --> 00:38:08,000 When such fuels averting 585 00:31:19,000 --> 00:36:11,000 the carbon re combines with oxygen 586 00:28:32,000 --> 00:43:03,000 and is released back into the atmosphere 587 00:32:54,000 --> 00:36:35,000 as carbon dioxide. 588 00:36:03,000 --> 00:31:28,000 The carbon dioxide spreads evenly through the Earth's atmosphere. 589 00:31:28,000 --> 00:40:38,000 Sickening. 590 00:40:38,000 --> 00:30:10,000 The greenhouse blanket the 591 00:37:20,000 --> 00:29:01,000 the world 592 00:35:32,000 --> 00:32:24,000 and further warming the planet. 593 00:43:30,000 --> 00:29:04,000 That blanket extends for miles above the earth's 594 00:36:55,000 --> 00:38:27,000 as you climb up away from the Earth the. 595 00:43:37,000 --> 00:32:19,000 Is become thinner. 596 00:32:19,000 --> 00:42:59,000 The temperature. 597 00:42:59,000 --> 00:40:40,000 As a result, 598 00:40:40,000 --> 00:33:01,000 becomes colder. 599 00:34:22,000 --> 00:45:35,000 It was while I was making the living planet in the mid 1980s 600 00:35:26,000 --> 00:37:09,000 the tide began to appreciate the crucial role of the atmosphere 601 00:41:19,000 --> 00:45:20,000 in shaping our climate. 602 00:33:33,000 --> 00:40:03,000 We are 603 00:45:03,000 --> 00:29:55,000 very close to the top 604 00:29:36,000 --> 00:33:56,000 of 605 00:32:47,000 --> 00:45:07,000 our environment 606 00:39:59,000 --> 00:36:50,000 for all the 607 00:31:31,000 --> 00:39:51,000 goes on 608 00:32:12,000 --> 00:41:42,000 within the 609 00:41:23,000 --> 00:29:24,000 5 610 00:43:14,000 --> 00:31:06,000 brief Miles this 611 00:44:26,000 --> 00:37:07,000 envelope 612 00:36:18,000 --> 00:40:19,000 of atmosphere that wrapped 613 00:44:29,000 --> 00:44:20,000 around the world, 614 00:44:20,000 --> 00:46:01,000 it's here, 615 00:46:01,000 --> 00:37:32,000 but the weather 616 00:32:33,000 --> 00:41:23,000 is manufactured. 617 00:38:55,000 --> 00:31:17,000 When I spoke those words 618 00:34:57,000 --> 00:36:40,000 scientists were already detecting crucial changes in the 619 00:36:40,000 --> 00:32:42,000 composition of the atmosphere. 620 00:32:42,000 --> 00:33:23,000 In particular, 621 00:33:23,000 --> 00:36:54,000 changes in the level 622 00:43:24,000 --> 00:29:56,000 of carbon dioxide. 623 00:30:30,000 --> 00:46:00,000 All over the planet 624 00:33:11,000 --> 00:43:04,000 they were recording rising levels of that particular gas in there 625 00:43:04,000 --> 00:39:51,000 . The first regular 626 00:39:51,000 --> 00:37:23,000 measurements were started 48 627 00:42:03,000 --> 00:40:14,000 years ago, 628 00:40:14,000 --> 00:37:37,000 from the top of the extinct volcano of money on lower 629 00:45:27,000 --> 00:41:28,000 in Hawaii. 630 00:31:21,000 --> 00:36:24,000 And it is the rate at which the carbon dioxide blanket is 631 00:36:24,000 --> 00:41:14,000 thickening 632 00:33:35,000 --> 00:46:46,000 that is causing so much concern. 633 00:39:34,000 --> 00:39:46,000 When I was a boy in the 1930s 634 00:31:17,000 --> 00:37:50,000 . The carbon dioxide back it was still below 300 635 00:41:40,000 --> 00:32:51,000 parts 636 00:37:01,000 --> 00:46:01,000 per million. 637 00:30:56,000 --> 00:39:36,000 This year 638 00:45:16,000 --> 00:38:39,000 the thickness reached 382 639 00:36:10,000 --> 00:35:41,000 the highest figure 640 00:40:21,000 --> 00:33:33,000 for hundreds of thousands. 641 00:43:20,000 --> 00:32:04,000 But how can we possibly know that carbon dioxide levels 642 00:36:14,000 --> 00:34:25,000 are higher now 643 00:38:05,000 --> 00:32:27,000 than they were thousands of years ago. 644 00:43:18,000 --> 00:36:30,000 In Patagonia is ice fields 645 00:43:40,000 --> 00:39:03,000 huge gaps open up in the summer months, 646 00:39:03,000 --> 00:33:46,000 giving scientists a chance to investigate 647 00:37:16,000 --> 00:31:18,000 far below the glasses. 648 00:37:51,000 --> 00:35:12,000 Stephen Harrison 649 00:42:32,000 --> 00:44:16,000 is taking the opportunity to descend deep into a pair of us in the 650 00:44:16,000 --> 00:37:42,000 . It's risky. 651 00:43:02,000 --> 00:32:53,000 You, 652 00:32:53,000 --> 00:37:33,000 you know. 653 00:39:23,000 --> 00:45:25,000 The glasses a melting so fast. 654 00:45:25,000 --> 00:41:18,000 The potentially invaluable records of the past 655 00:48:08,000 --> 00:37:39,000 artists. 656 00:45:10,000 --> 00:32:41,000 Yes. 657 00:32:41,000 --> 00:45:32,000 Ice cap in which his glasses flow from 658 00:36:23,000 --> 00:48:15,000 is melting more quickly probably than any other comparable ice 659 00:32:16,000 --> 00:48:26,000 mass on Earth. 660 00:48:26,000 --> 00:32:58,000 You can see them out of water, 661 00:32:58,000 --> 00:32:09,000 which is around us. 662 00:32:39,000 --> 00:41:09,000 Stephen 663 00:45:09,000 --> 00:41:02,000 has spent the last 20 years studying 664 00:44:42,000 --> 00:39:55,000 Latinos and past climates, 665 00:39:55,000 --> 00:44:28,000 he knows that ice can preserve valuable evidence. 666 00:47:17,000 --> 00:40:31,000 Carbon dioxide is a as an important driver of climate change. 667 00:40:31,000 --> 00:48:21,000 In other words, 668 00:48:21,000 --> 00:43:33,000 is that important factor in in 669 00:47:53,000 --> 00:42:35,000 in changing the global climate. 670 00:42:35,000 --> 00:37:58,000 You have to see how come not citing changed with the pattern 671 00:35:49,000 --> 00:35:21,000 periods and warm period throughout her history. 672 00:47:52,000 --> 00:47:34,000 You can see the ice here is absolutely full 673 00:35:05,000 --> 00:36:06,000 of of of bubbles 674 00:39:46,000 --> 00:36:17,000 from the bubbles informed 675 00:41:17,000 --> 00:34:08,000 when the ice 676 00:42:08,000 --> 00:48:59,000 was formed. 677 00:48:59,000 --> 00:36:21,000 And of course the bubbles contain 678 00:43:01,000 --> 00:47:13,000 atmosphere oxygen and carbon dioxide 679 00:45:15,000 --> 00:42:18,000 if we want to understand the the role of carbon dioxide 680 00:46:18,000 --> 00:43:31,000 as a sort of as a thermal blanket over the earth. 681 00:43:31,000 --> 00:44:14,000 We need to know about how come a dark side has changed the 682 00:44:14,000 --> 00:39:46,000 concentrations of change in the atmosphere 683 00:44:06,000 --> 00:39:48,000 over hundreds of thousands of years. 684 00:39:48,000 --> 00:38:30,000 An analysis of bubbles such as these 685 00:42:30,000 --> 00:39:03,000 in places like Antarctica and Greenland gives us that that that's 686 00:39:03,000 --> 00:34:54,000 fantastic record. 687 00:44:49,000 --> 00:50:13,000 That record is now also preserved thousands of miles away. 688 00:50:13,000 --> 00:38:34,000 Not 689 00:43:44,000 --> 00:48:36,000 in the ice fields as originally contained it 690 00:37:27,000 --> 00:38:58,000 but in Denver, 691 00:38:58,000 --> 00:49:58,000 Colorado. 692 00:47:30,000 --> 00:40:34,000 In this store room of the United States national ice core 693 00:40:34,000 --> 00:35:55,000 laboratory 694 00:42:25,000 --> 00:46:38,000 hundreds of thousands of years' worth of ice core records 695 00:35:39,000 --> 00:48:59,000 are maintained 696 00:36:20,000 --> 00:37:42,000 at minus 36 degrees. 697 00:47:50,000 --> 00:35:15,000 These ice cores have been extracted from as much as 3 kilometers 698 00:40:05,000 --> 00:44:37,000 beneath the polar ice caps. 699 00:44:37,000 --> 00:44:59,000 I mean for Professor marks a rare as 700 00:48:29,000 --> 00:49:52,000 each one provides a valuable source of information 701 00:38:13,000 --> 00:50:24,000 about a particular moment in the past. 702 00:38:49,000 --> 00:43:59,000 Well, 703 00:43:59,000 --> 00:48:19,000 this 704 00:37:50,000 --> 00:46:10,000 particular 705 00:49:40,000 --> 00:44:13,000 chunk of ice was about 16,000 years old 706 00:49:13,000 --> 00:42:15,000 come from the Greenland ice sheet. 707 00:44:57,000 --> 00:45:09,000 What we see here are layers of fossils 708 00:48:39,000 --> 00:38:10,000 snow 709 00:49:00,000 --> 00:44:52,000 every year on the top of Greenland, 710 00:44:52,000 --> 00:35:34,000 there's an accumulation of snow 711 00:43:44,000 --> 00:50:44,000 and 712 00:37:45,000 --> 00:39:16,000 this is a good compacted 713 00:43:16,000 --> 00:51:08,000 you're through years layer after layer of snow 714 00:40:19,000 --> 00:40:31,000 eventually before these layers of ice 715 00:46:01,000 --> 00:43:53,000 and it's within these layers of ice 716 00:48:43,000 --> 00:48:36,000 that we can tell all kinds of things about deep that the Earth's 717 00:48:36,000 --> 00:40:47,000 past 718 00:49:27,000 --> 00:44:59,000 what we find today is at the carbonate 719 00:49:49,000 --> 00:36:13,000 oxide concentrations in the atmosphere are higher than anything 720 00:38:43,000 --> 00:38:06,000 we've seen in the past 600,000 years. 721 00:38:06,000 --> 00:36:49,000 It's telling us that human activities are having a strong him. 722 00:38:49,000 --> 00:37:20,000 Back on the claim it's, 723 00:37:20,000 --> 00:40:00,000 it's. 724 00:50:35,000 --> 00:45:18,000 It if we measure this in parts per million of carbon 725 00:49:18,000 --> 00:42:20,000 oxides in the atmosphere, 726 00:42:20,000 --> 00:42:43,000 what we call the pre-industrial output before he wins were 727 00:43:53,000 --> 00:39:04,000 starting to have a team 728 00:37:45,000 --> 00:40:47,000 with around 27280 729 00:44:18,000 --> 00:51:28,000 Premier League. 730 00:49:42,000 --> 00:39:24,000 What we've seen now. 731 00:39:24,000 --> 00:41:47,000 The most recent record today are telling us that it's up to about 732 00:41:47,000 --> 00:39:58,000 380 733 00:45:29,000 --> 00:50:59,000 for the. 734 00:52:41,000 --> 00:43:25,000 So you can see that today if levels are far beyond anything that 735 00:43:25,000 --> 00:45:45,000 we. 736 00:49:21,000 --> 00:46:53,000 If you talk to be 5 years ago 737 00:37:54,000 --> 00:37:45,000 I would have been 738 00:41:35,000 --> 00:41:36,000 kind of a fence sitter 739 00:46:06,000 --> 00:46:37,000 on this whole idea 740 00:52:37,000 --> 00:39:18,000 of 741 00:42:58,000 --> 00:48:20,000 greenhouse gases involved in climate change 742 00:37:41,000 --> 00:36:52,000 no war. 743 00:36:52,000 --> 00:42:23,000 The changes that we've seen 744 00:48:53,000 --> 00:41:57,000 seem to be much too strong much too radical to be just simply 745 00:41:57,000 --> 00:48:19,000 explained by natural climate cycles. 746 00:52:43,000 --> 00:48:06,000 What we're seeing now is the impact of humans 747 00:52:56,000 --> 00:41:09,000 humans are starting to change the climate itself. 748 00:53:42,000 --> 00:52:53,000 Those changes 749 00:41:34,000 --> 00:45:55,000 could now be occurring. 750 00:45:55,000 --> 00:46:46,000 Even in places 751 00:50:16,000 --> 00:53:07,000 which are absorbing 752 00:40:28,000 --> 00:51:59,000 huge amounts of cotton dioxide. 753 00:46:42,000 --> 00:38:53,000 The Emerson 754 00:43:33,000 --> 00:38:56,000 is often referred to as the lungs of the world 755 00:48:36,000 --> 00:40:41,000 for here plants taken vast volumes of carbon dioxide and give out 756 00:40:41,000 --> 00:49:21,000 oxygen 757 00:48:52,000 --> 00:38:36,000 to appreciate the immensity of the greenery where this gaseous 758 00:38:36,000 --> 00:50:37,000 exchange takes place. 759 00:50:37,000 --> 00:51:09,000 You have to get up into the branches, 760 00:51:09,000 --> 00:50:21,000 some 50m about the ground. 761 00:40:24,000 --> 00:43:24,000 I'm 762 00:47:24,000 --> 00:45:25,000 up in the canopy 763 00:52:45,000 --> 00:49:26,000 of the jungle. 764 00:49:26,000 --> 00:47:18,000 The tropical rainforest, 765 00:47:18,000 --> 00:52:18,000 here 766 00:40:59,000 --> 00:46:10,000 there is a greater bulk 767 00:53:30,000 --> 00:54:23,000 of life both animal and plant and the greater diversity too 768 00:46:24,000 --> 00:42:05,000 and can be found 769 00:46:45,000 --> 00:47:36,000 anywhere else at all 770 00:38:17,000 --> 00:44:58,000 and this huge proliferation 771 00:51:58,000 --> 00:50:50,000 comes from 2 main courses 772 00:42:01,000 --> 00:47:41,000 warmth 773 00:38:12,000 --> 00:49:42,000 and witness 774 00:41:43,000 --> 00:42:46,000 the wetness comes from the abundant Equatorial rains 775 00:49:46,000 --> 00:41:27,000 for warmth 776 00:48:47,000 --> 00:46:48,000 from the tropical sun 777 00:39:49,000 --> 00:53:49,000 and between them. 778 00:53:49,000 --> 00:54:01,000 Those 2 factors have created the jungle 779 00:45:02,000 --> 00:50:03,000 which stretches in a broken 780 00:38:34,000 --> 00:51:44,000 green band 781 00:41:05,000 --> 00:51:25,000 Wright round. 782 00:39:50,000 --> 00:38:21,000 20 years later 783 00:45:11,000 --> 00:45:03,000 and in spite of intensive logging 784 00:49:13,000 --> 00:54:35,000 vast areas of this phone is still survive. 785 00:40:26,000 --> 00:52:00,000 Bridgestone Youzhny. 786 00:54:01,000 --> 00:43:43,000 But scientists like 787 00:47:33,000 --> 00:51:23,000 down 788 00:55:03,000 --> 00:48:24,000 next had 789 00:43:15,000 --> 00:50:47,000 in covering an even more sinister threat 790 00:54:17,000 --> 00:53:18,000 to the health of the John. 791 00:53:58,000 --> 00:39:59,000 Go 792 00:44:49,000 --> 00:43:40,000 them deforestation 793 00:51:02,000 --> 00:51:23,000 he has discovered 794 00:39:04,000 --> 00:40:46,000 that many of the largest traders 795 00:45:16,000 --> 00:39:47,000 are dying. 796 00:52:29,000 --> 00:44:30,000 What I think 797 00:54:00,000 --> 00:44:04,000 is for me the most scary part about the future of the Amazon 798 00:47:35,000 --> 00:39:36,000 is drought 799 00:45:36,000 --> 00:40:49,000 because when a drought comes often with very little warning 800 00:51:19,000 --> 00:40:41,000 it affects not just 801 00:52:11,000 --> 00:53:42,000 one or 2% 802 00:45:13,000 --> 00:45:34,000 of the basin, 803 00:45:34,000 --> 00:49:55,000 it's an effect 30% 804 00:40:46,000 --> 00:48:46,000 for us 805 00:41:57,000 --> 00:43:10,000 in ways that we are just now learning can be quite devastating to 806 00:43:10,000 --> 00:52:30,000 the forest. 807 00:42:44,000 --> 00:49:35,000 In 2005 808 00:41:46,000 --> 00:40:50,000 the Amazon region suffered its worst drought in 60 years. 809 00:45:02,000 --> 00:48:33,000 The lack of rain, 810 00:48:33,000 --> 00:40:36,000 led to a catastrophic fall in river levels 811 00:49:56,000 --> 00:40:28,000 decimating the fish popular. 812 00:52:22,000 --> 00:44:34,000 6 months after the drought 813 00:52:44,000 --> 00:40:27,000 Dan never stat is finding that the trees 814 00:44:37,000 --> 00:51:38,000 have still not recovered. 815 00:45:59,000 --> 00:40:31,000 Right now we're measuring how much 816 00:50:21,000 --> 00:44:53,000 water stress the tree that 817 00:49:23,000 --> 00:54:03,000 this leaf 818 00:42:54,000 --> 00:55:35,000 growing on who was under when we cut it. 819 00:47:41,000 --> 00:52:43,000 Last year's drought caught assault by surprise 820 00:44:34,000 --> 00:50:24,000 they've had 821 00:53:54,000 --> 00:47:48,000 devastating effects and the people who live in the Amazon. 822 00:47:48,000 --> 00:44:20,000 We're just right now getting a handle on 823 00:49:40,000 --> 00:44:14,000 how many hundreds of thousands of square kilometers of forest 824 00:50:14,000 --> 00:44:17,000 were severely damaged by a drought killing 825 00:48:27,000 --> 00:54:48,000 enormous trees, 826 00:54:48,000 --> 00:43:11,000 which are the key organisms in these ecosystems 827 00:52:51,000 --> 00:43:23,000 could be the 2006 828 00:48:33,000 --> 00:42:17,000 is it your full of forest fire because of the drought of 2005. 829 00:51:30,000 --> 00:42:05,000 The drought was linked to the abnormally warm seas in the Atlantic 830 00:42:05,000 --> 00:50:58,000 , which disrupted the rainfall patterns in the forests. 831 00:41:40,000 --> 00:53:21,000 It's particularly worrisome because. 832 00:48:32,000 --> 00:48:25,000 It's the type of ocean heating and it seems to cause the drought 833 00:49:25,000 --> 00:42:37,000 in the Amazon last year that is 834 00:46:47,000 --> 00:54:28,000 exactly what is predicted, 835 00:54:28,000 --> 00:50:09,000 and their scenario 836 00:50:10,000 --> 00:42:21,000 hopeful who worry. 837 00:44:01,000 --> 00:49:21,000 Yes. 838 00:50:56,000 --> 00:47:17,000 But the Amazon 839 00:53:07,000 --> 00:47:10,000 is not the only rich ecosystem 840 00:51:00,000 --> 00:46:11,000 now at risk. 841 00:42:27,000 --> 00:49:20,000 The world's coral reefs and other marine equivalent of the 842 00:52:10,000 --> 00:54:33,000 rainforest teeming with countless different species. 843 00:53:08,000 --> 00:55:08,000 That 844 00:46:49,000 --> 00:50:09,000 you know. 845 00:55:39,000 --> 00:46:33,000 Warming sea temperatures are already putting the oceans and the 846 00:46:33,000 --> 00:45:24,000 life within them 847 00:49:04,000 --> 00:43:26,000 under increasing strain. 848 00:46:58,000 --> 00:43:02,000 The 2000 kilometer long Great Barrier Reef in Australia 849 00:53:22,000 --> 00:52:54,000 is one of the wonders of the world. 850 00:48:46,000 --> 00:51:58,000 Early in the life on Earth series 851 00:57:28,000 --> 00:52:30,000 I examined it for myself. 852 00:50:54,000 --> 00:57:04,000 The reason 853 00:47:45,000 --> 00:47:37,000 may look like some fantastic 854 00:52:57,000 --> 00:44:48,000 multicolored 855 00:48:28,000 --> 00:42:51,000 jungle of plants and flowers. 856 00:42:51,000 --> 00:55:21,000 But when you touch, 857 00:55:21,000 --> 00:52:32,000 one, 858 00:52:32,000 --> 00:45:44,000 it has a hard being incongruous 859 00:53:44,000 --> 00:45:15,000 crunch 860 00:52:15,000 --> 00:44:46,000 the stone. 861 00:44:10,000 --> 00:57:41,000 Then 27 years ago 862 00:50:42,000 --> 00:58:02,000 the reef 863 00:44:53,000 --> 00:53:06,000 seemed won a huge unblemished and healthy world of its own. 864 00:50:52,000 --> 00:55:34,000 I described the intimate relationship 865 00:48:25,000 --> 00:55:57,000 between the tiny animal coral polyps 866 00:43:48,000 --> 00:49:40,000 and the alchemy that shelter inside them. 867 00:53:20,000 --> 00:43:11,000 Lately. 868 00:43:51,000 --> 00:46:04,000 A relationship established hundreds of millions of years ago 869 00:54:44,000 --> 00:48:38,000 that eventually produced Greece so immense that they're visible 870 00:51:38,000 --> 00:49:49,000 from space. 871 00:52:20,000 --> 00:46:12,000 So it may well be the river 872 00:55:22,000 --> 00:54:54,000 passing astronaut came this way, 873 00:54:54,000 --> 00:49:15,000 several hundred 874 00:56:55,000 --> 00:52:47,000 million years ago, 875 00:52:47,000 --> 00:50:38,000 you might have noticed. 876 00:58:12,000 --> 00:58:14,000 But at the time I was making the series 877 00:48:45,000 --> 00:50:48,000 I was unaware of a new and disturbing phenomenon. 878 00:56:15,000 --> 00:51:56,000 Now, 879 00:51:56,000 --> 00:49:08,000 in early 2006 880 00:57:48,000 --> 00:59:00,000 the state of the car on the Barrier Reef 881 00:46:31,000 --> 00:45:44,000 is worrying marine biologist Ove Hoegh Guldberg. 882 01:00:07,000 --> 00:45:49,000 In recent years. 883 00:45:49,000 --> 00:52:30,000 He and other scientists 884 00:56:10,000 --> 00:53:03,000 have found that the reefs a far more sensitive to see temperatures 885 00:51:44,000 --> 00:53:15,000 than they had previously. 886 00:52:12,000 --> 00:59:42,000 This year 887 00:50:23,000 --> 00:44:46,000 has seen temperatures are abnormally high. 888 00:46:45,000 --> 00:54:26,000 Everywhere and up. 889 00:54:26,000 --> 00:58:36,000 Well, 890 00:58:36,000 --> 00:58:48,000 I can say it isn't blitz Carl's 891 00:46:09,000 --> 00:52:19,000 Carlson 892 00:58:19,000 --> 00:54:00,000 Adobe proudly 893 00:57:41,000 --> 01:00:01,000 Anelka 894 00:52:02,000 --> 00:54:42,000 existing 895 00:45:33,000 --> 00:48:14,000 a brilliant bike. 896 00:48:14,000 --> 00:55:45,000 This is the cost of the out, 897 00:55:45,000 --> 00:59:36,000 you have a lot of that this is 898 00:48:48,000 --> 00:47:59,000 all that's left of the 899 00:54:59,000 --> 00:46:30,000 absolutely 900 00:52:50,000 --> 00:48:21,000 reflect the skeletons 901 00:58:42,000 --> 00:47:44,000 okay I'm here, 902 00:47:44,000 --> 01:00:44,000 I just saved 903 00:47:46,000 --> 00:58:17,000 and later after they don't 904 00:48:58,000 --> 00:54:49,000 the time glitz golf 905 00:49:20,000 --> 00:58:11,000 and silicone struggling, 906 00:58:11,000 --> 00:52:15,000 but I think I said it really quite like this before. 907 00:52:15,000 --> 00:44:56,000 If you cut off. 908 00:59:49,000 --> 00:51:51,000 What is particularly unsettling 909 00:56:41,000 --> 00:51:02,000 scientist 910 00:56:12,000 --> 00:50:05,000 is that this reaching is becoming more frequent 911 00:53:26,000 --> 00:52:49,000 is sea temperatures remain high for too long. 912 00:52:49,000 --> 01:00:50,000 Then the out he won't return 913 00:51:01,000 --> 00:52:52,000 and the call may die 914 00:46:04,000 --> 00:54:34,000 Ove Hoegh 915 00:49:25,000 --> 00:47:06,000 is using approved 916 00:56:26,000 --> 00:45:38,000 to discover how stressed 917 00:49:18,000 --> 00:45:49,000 this Congress. 918 00:49:31,000 --> 00:55:22,000 I tells me that you know 919 00:50:53,000 --> 01:00:53,000 most of the 920 00:54:44,000 --> 00:56:54,000 Algeria, 921 00:56:54,000 --> 01:01:35,000 who left in these corals 922 00:53:46,000 --> 00:54:47,000 are severely damaged 923 01:00:47,000 --> 00:55:29,000 and I've been terrorized by combination 924 00:46:00,000 --> 00:45:51,000 of heat and likely. 925 00:59:48,000 --> 00:47:29,000 Away. 926 00:55:49,000 --> 00:48:11,000 When I come here and see this 927 00:55:02,000 --> 00:51:14,000 said it really stressed out rescue 928 00:46:06,000 --> 00:57:57,000 a former self getting really concerned 929 00:58:48,000 --> 01:01:09,000 it's another reminder 930 00:58:30,000 --> 00:53:03,000 that there are a huge changes on the way with climate change 931 00:47:44,000 --> 00:51:05,000 in the, 932 00:51:05,000 --> 00:47:57,000 this is the 3rd bleaching event 933 00:51:27,000 --> 01:00:19,000 in the last 90 years of the Great Barrier anything and everything 934 00:45:50,000 --> 00:50:00,000 they had 935 00:52:51,000 --> 00:56:01,000 and 936 00:49:02,000 --> 00:48:03,000 as predicted if 937 00:59:03,000 --> 01:01:24,000 they getting more frequent 938 00:51:55,000 --> 00:54:55,000 and 939 00:49:56,000 --> 00:49:07,000 and more severe head 940 00:55:58,000 --> 00:52:41,000 and I called customer funds that you rather frightening 941 00:57:21,000 --> 00:56:12,000 movement 942 00:52:23,000 --> 00:54:54,000 in the area. 943 00:58:46,000 --> 00:59:56,000 Of 944 00:50:49,000 --> 00:51:49,000 of. 945 00:51:30,000 --> 00:51:41,000 Devastating thought 946 00:49:52,000 --> 01:01:43,000 but if the warming continues. 947 01:01:43,000 --> 00:55:55,000 Some of our richest environment. 948 00:57:25,000 --> 00:46:37,000 Some species that live in them 949 00:56:47,000 --> 00:55:49,000 will be under threat. 950 00:55:49,000 --> 01:01:51,000 And it's not just the non-human. 951 01:01:51,000 --> 00:54:15,000 We as a species will not be immune either. 952 00:54:15,000 --> 00:47:09,000 How can we possibly know what the future holds. 953 00:47:09,000 --> 00:49:12,000 Scientists don't pretend that they can predict specific changes to 954 00:49:32,000 --> 00:58:14,000 the climate with absolute certainty. 955 00:58:14,000 --> 00:55:15,000 But they can do 956 01:03:15,000 --> 00:56:27,000 his calculate the likelihood 957 01:00:47,000 --> 00:54:08,000 that they will occur. 958 01:01:14,000 --> 00:54:48,000 It's here at the Met Office's Hadley Centre in Exeter 959 01:00:28,000 --> 01:01:11,000 that we can't find the answer to some of the big questions. 960 00:55:33,000 --> 00:49:56,000 This super computer can perform 10 billion 961 00:55:56,000 --> 00:56:48,000 calculations per second 962 00:52:59,000 --> 01:00:59,000 each one 963 00:48:50,000 --> 00:47:54,000 contributing to a model that scientists like Peter Cox can use to 964 00:47:54,000 --> 00:51:35,000 protect our future climber. 965 00:53:18,000 --> 00:56:38,000 Climate 966 01:00:08,000 --> 00:56:49,000 models that essentially 967 00:54:00,000 --> 01:01:31,000 come out of weather forecasting models 968 00:54:12,000 --> 01:03:04,000 they run for much longer periods around own for hundreds of years 969 00:47:25,000 --> 01:00:15,000 rather than days 970 00:51:16,000 --> 00:51:59,000 but they contain older complex they contain clouds they contain 971 00:59:29,000 --> 00:59:21,000 rainfall patterns they contain winds 972 00:57:32,000 --> 00:56:55,000 and Clark models have to contain slower components like how the 973 00:59:45,000 --> 00:57:38,000 vegetation on the soil respond to changing how the oceans 974 01:02:08,000 --> 00:50:19,000 change. 975 00:54:50,000 --> 01:03:20,000 The model 976 00:50:31,000 --> 00:58:54,000 is like a virtual world a sort of flight simulator. 977 00:49:15,000 --> 01:03:47,000 Where everything from the melting ice in the Arctic to the 978 00:49:08,000 --> 01:02:59,000 formation of clouds in the atmosphere 979 00:51:10,000 --> 01:01:41,000 and the temperatures of the oceans 980 00:49:32,000 --> 01:04:15,000 are represented by solemnly leap, 981 01:04:15,000 --> 01:00:37,000 it can give us the probability 982 00:48:58,000 --> 01:04:29,000 that future events may happen. 983 01:01:32,000 --> 01:04:03,000 For instance, 984 01:04:03,000 --> 00:48:07,000 one of the chances of are having another major heatwave 985 00:56:47,000 --> 01:00:09,000 like the one of summer 2003 986 00:48:30,000 --> 01:04:51,000 . And 987 01:04:51,000 --> 00:52:33,000 as the planet warms up 988 01:01:03,000 --> 00:57:04,000 can we expect 989 01:01:24,000 --> 00:51:26,000 heatwaves more often. 990 00:55:00,000 --> 00:56:13,000 It's impossible to put any particular climatic or weather event 991 01:01:23,000 --> 00:57:15,000 down to climate change alone. 992 00:57:15,000 --> 00:57:18,000 But what you can do is say that climate change affects the chance 993 00:57:18,000 --> 00:56:49,000 of an event occurring 994 00:49:10,000 --> 00:55:13,000 and though it to the very extreme 2003 summer we've suffered in 995 00:55:13,000 --> 00:52:15,000 Europe. 996 00:52:15,000 --> 00:50:17,000 He killed many people in France for example 997 00:57:37,000 --> 00:55:58,000 is a case in point. 998 00:55:58,000 --> 00:57:59,000 That's something that is a, 999 00:57:59,000 --> 00:59:20,000 a rare event now 1000 00:49:51,000 --> 00:59:43,000 is a one in 200 year type of event, 1001 00:59:43,000 --> 00:57:44,000 but that 1002 00:50:35,000 --> 01:02:37,000 is twice as likely as it was before we started to click change the 1003 01:02:37,000 --> 00:53:18,000 climate 1004 01:02:58,000 --> 01:04:31,000 and by 20-40 because of future climate change, 1005 01:04:31,000 --> 00:55:53,000 it will become a one in 2 year event 1006 01:04:23,000 --> 01:04:15,000 almost the norm by 20-80 1007 00:55:06,000 --> 00:58:17,000 will consider that call you. 1008 00:54:11,000 --> 00:58:54,000 One place where the Hadley model is predicting increasing 1009 01:01:14,000 --> 00:54:55,000 temperatures 1010 00:54:56,000 --> 00:52:47,000 is the next year 1011 00:56:47,000 --> 00:49:39,000 province in northern China. 1012 01:01:04,000 --> 00:53:26,000 Not good news for a land 1013 00:57:46,000 --> 01:04:57,000 where the desert is expanding. 1014 01:01:53,000 --> 00:56:15,000 Over the last 20 years, 1015 00:56:15,000 --> 00:59:17,000 there's been a marked decline in Maine. 1016 01:03:08,000 --> 01:01:01,000 Powerful winds have driven the thin soil into dues 1017 00:52:22,000 --> 00:54:04,000 smothering fields and villages. 1018 01:00:57,000 --> 01:02:48,000 In soup will drink 1019 00:52:39,000 --> 00:57:02,000 many villages have deserted their homes for the cities. 1020 01:02:39,000 --> 00:59:52,000 Those who are left behind like one lane 1021 00:53:03,000 --> 01:04:05,000 must endure a daily battle with the encroaching 1022 00:56:16,000 --> 01:00:36,000 dealings. 1023 00:54:38,000 --> 00:56:29,000 Yeah, 1024 00:56:29,000 --> 01:05:21,000 there wasn't so much sand here before. 1025 01:05:21,000 --> 00:52:02,000 Okay. 1026 00:52:02,000 --> 00:52:33,000 Now the wind is blowing. 1027 00:52:33,000 --> 00:57:14,000 More and more sensitive and. 1028 00:54:16,000 --> 01:00:37,000 So what do you know she also. 1029 01:00:37,000 --> 00:53:39,000 I remember when I was a child. 1030 00:53:39,000 --> 00:55:29,000 The 1031 01:01:29,000 --> 01:06:11,000 environment was really good. 1032 01:06:11,000 --> 00:51:23,000 And in 1973 1033 01:04:13,000 --> 00:56:54,000 went dry 1034 01:06:54,000 --> 01:06:55,000 the grass struck growing 1035 00:55:56,000 --> 01:06:56,000 but dust storms 1036 01:01:07,000 --> 01:01:58,000 the sand covered everything 1037 00:51:59,000 --> 00:51:51,000 and began to affect our lives in every way 1038 00:58:21,000 --> 01:05:41,000 Chi white. 1039 00:56:39,000 --> 01:04:09,000 If you go, 1040 01:04:09,000 --> 00:58:52,000 if you go you know and I get home if I don't brush I sand away 1041 01:01:02,000 --> 01:01:03,000 account gets into my house. 1042 01:04:46,000 --> 00:56:47,000 Then if you, 1043 00:56:47,000 --> 01:01:09,000 if there is takes a lot of time so it affects my work. 1044 01:02:57,000 --> 00:55:58,000 But they require 1045 01:02:18,000 --> 00:52:31,000 a lot of people have left the village already. 1046 00:52:31,000 --> 01:06:21,000 There was also sold 1047 00:57:52,000 --> 00:52:05,000 securities would you might they want to improve their lives. 1048 00:52:05,000 --> 00:58:45,000 So you know 1049 01:02:35,000 --> 01:00:28,000 moved to a better place with water and much better conditions 1050 00:52:59,000 --> 00:54:19,000 you 1051 00:57:39,000 --> 00:59:09,000 not 1052 01:02:39,000 --> 01:06:39,000 Georgia. 1053 01:03:07,000 --> 01:07:07,000 But the 1054 00:54:58,000 --> 00:57:38,000 group. 1055 00:51:29,000 --> 01:03:39,000 Those villages 1056 01:07:49,000 --> 01:03:11,000 that aren't swamped by sand 1057 00:53:32,000 --> 01:06:43,000 are suffering from severe drought 1058 01:01:44,000 --> 00:56:15,000 this village 1059 01:03:05,000 --> 01:06:05,000 ego 1060 00:58:46,000 --> 00:55:38,000 has not had a harvest for 3 years. 1061 01:06:13,000 --> 01:08:04,000 Professor Lin that 1062 00:57:25,000 --> 00:57:07,000 is working for the Chinese government 1063 00:53:58,000 --> 00:54:01,000 trying to discover how badly affected the local people are. 1064 01:08:06,000 --> 00:58:07,000 You know, 1065 00:58:07,000 --> 01:07:08,000 until that can you remember when you were 1066 00:54:29,000 --> 01:01:09,000 younger. 1067 01:01:09,000 --> 01:07:19,000 You know what. 1068 01:07:19,000 --> 00:59:41,000 At the same situation to do 1069 01:07:21,000 --> 01:04:34,000 and when I was a child who it was also sometimes very trying 1070 01:08:34,000 --> 00:59:25,000 IVF. 1071 00:59:25,000 --> 01:01:56,000 But it's become more serious. 1072 01:01:56,000 --> 01:00:57,000 In recent years. 1073 00:52:40,000 --> 00:56:51,000 So you know it's not on the radar 1074 00:57:12,000 --> 00:58:53,000 for troops being on recently 1075 00:54:14,000 --> 01:02:15,000 from the harvest was very bad 1076 00:54:26,000 --> 01:06:06,000 why was that 1077 01:01:37,000 --> 00:54:08,000 there's been a 1078 00:59:48,000 --> 00:54:19,000 rifle. 1079 00:54:19,000 --> 01:06:00,000 There's been no rain for 3 years 1080 00:53:11,000 --> 01:04:41,000 called White out 1081 00:54:22,000 --> 01:04:23,000 of work well by, 1082 01:04:23,000 --> 00:56:16,000 we can only depend on the food given by the government 1083 01:07:46,000 --> 01:08:57,000 and without crops. 1084 01:08:57,000 --> 01:05:38,000 We have no income 1085 00:57:29,000 --> 01:00:20,000 we can't buy anything 1086 01:08:50,000 --> 00:58:02,000 and we have no money to spend. 1087 00:56:24,000 --> 01:00:05,000 When the winds pick up 1088 01:06:25,000 --> 01:06:26,000 the dry soil 1089 00:53:27,000 --> 01:03:38,000 completely create a standstill. 1090 00:59:00,000 --> 00:58:53,000 Such storms are already afflicting cities like Beijing 1091 00:55:04,000 --> 01:03:54,000 if the dying 1092 01:07:44,000 --> 00:56:57,000 continues this will only get worse. 1093 01:08:50,000 --> 01:04:03,000 The bleak realities of climate change 1094 01:09:03,000 --> 01:02:25,000 are being felt all over the world. 1095 01:03:38,000 --> 00:54:39,000 And yet 1096 01:01:19,000 --> 00:59:43,000 despite so much evidence some people refused to believe that human 1097 00:59:43,000 --> 00:53:34,000 activity 1098 00:57:44,000 --> 00:59:36,000 is the cause of the changes we're seeing 1099 01:09:06,000 --> 01:07:17,000 the climate models 1100 00:54:28,000 --> 00:56:59,000 at the Hadley Centre, 1101 00:56:59,000 --> 01:08:00,000 believe that they have put. 1102 01:09:13,000 --> 01:00:34,000 They sat 1103 01:06:54,000 --> 00:55:27,000 both natural climate variations 1104 00:59:37,000 --> 01:03:10,000 and our carbon dioxide emissions into their model 1105 00:54:11,000 --> 01:01:14,000 to see which best explains the changes in temperature. 1106 01:01:14,000 --> 00:55:27,000 Over the last 120 years. 1107 01:08:28,000 --> 00:58:50,000 The key question of course 1108 00:55:41,000 --> 00:59:55,000 is how can we distinguish between variations due to natural causes 1109 00:58:16,000 --> 00:56:28,000 and those variations of the climate 1110 01:06:18,000 --> 01:05:02,000 that are induced by human activity. 1111 01:05:02,000 --> 00:55:33,000 And 1112 01:01:33,000 --> 01:03:14,000 the key thing 1113 01:07:14,000 --> 01:10:04,000 that 1114 00:59:25,000 --> 01:04:16,000 convinced me it anyway 1115 01:10:06,000 --> 00:58:48,000 was a graph like 1116 01:04:58,000 --> 01:00:30,000 this one that we marked out on the floor 1117 01:07:50,000 --> 00:55:02,000 that have been prepared from 1118 01:00:32,000 --> 01:01:13,000 climate scientists 1119 01:04:43,000 --> 01:09:13,000 like 1120 00:56:54,000 --> 00:56:55,000 Professor Peter Cox 1121 01:00:25,000 --> 01:05:17,000 now explain to us the significance 1122 01:08:57,000 --> 01:01:18,000 of this squad. 1123 01:10:38,000 --> 00:58:49,000 Okay. 1124 00:58:49,000 --> 00:58:31,000 What we're gonna do is to take a walk through time 1125 01:03:01,000 --> 01:05:22,000 and the first thing to note, 1126 01:05:22,000 --> 01:06:05,000 as we walk through its a bit the climate is naturally variable. 1127 01:06:05,000 --> 01:09:46,000 It's a spiky based 1128 00:59:07,000 --> 01:06:19,000 occasionally there's a downward trend that's associated a volcano 1129 01:06:19,000 --> 00:56:12,000 going off the coast of system down because of the dust, 1130 00:56:12,000 --> 01:05:02,000 it throws up 1131 01:08:52,000 --> 01:04:03,000 the general it just 1132 01:09:23,000 --> 01:05:34,000 isolates around 1133 00:54:35,000 --> 00:55:16,000 and then we get to a period 1134 01:03:16,000 --> 01:02:57,000 around about 1910 1135 01:08:07,000 --> 01:00:09,000 where you can start to see an upward trend 1136 00:57:20,000 --> 01:00:52,000 a warming of the climate and global warming, 1137 01:00:52,000 --> 01:03:53,000 if you like, 1138 01:03:53,000 --> 00:58:54,000 and the issue is 1139 01:03:24,000 --> 00:57:55,000 what caused that 1140 01:07:25,000 --> 00:55:46,000 was that 1141 00:59:06,000 --> 01:04:17,000 humans are was that natural. 1142 01:04:17,000 --> 01:10:59,000 So what we do to try and work that one hours to take a climate 1143 00:56:10,000 --> 01:06:42,000 model and to put in the various factors, 1144 01:06:42,000 --> 01:02:03,000 what we can say with its 1145 01:05:43,000 --> 00:56:15,000 blinkered here is a car model 1146 01:04:25,000 --> 01:02:57,000 that includes just these natural factors. 1147 01:02:57,000 --> 00:56:09,000 So this is when volcanoes go off 1148 01:03:59,000 --> 00:55:11,000 and the output from the sun 1149 01:02:51,000 --> 01:00:32,000 and you can see that the 1150 01:05:32,000 --> 01:08:53,000 curve can reproduce 1151 00:56:44,000 --> 01:11:05,000 recently well this mid-century warming so 1152 00:57:56,000 --> 00:54:57,000 up to this point, 1153 00:54:57,000 --> 00:55:18,000 you could reasonably argue 1154 01:05:08,000 --> 01:11:01,000 climate variation can be explained by natural factors, 1155 01:11:01,000 --> 01:02:43,000 but as we move on, 1156 01:02:43,000 --> 00:56:55,000 we can see that's no longer true. 1157 00:56:55,000 --> 00:57:08,000 If you get to the latter part of 20th century from about 1970 1158 00:59:48,000 --> 01:05:28,000 onwards. 1159 01:05:28,000 --> 01:10:08,000 Here 1160 01:00:09,000 --> 00:59:50,000 you can see the red curve. 1161 00:59:50,000 --> 01:03:01,000 He observed temperatures 1162 01:07:01,000 --> 00:57:12,000 in the green 1163 01:01:52,000 --> 01:06:24,000 really begin to diverge. 1164 01:06:24,000 --> 01:07:57,000 And the question again is what caused this recent woman. 1165 01:07:57,000 --> 01:01:38,000 So we run the model, 1166 01:01:38,000 --> 01:02:21,000 again we include human factors particularly include greenhouse 1167 01:02:21,000 --> 01:07:51,000 effect 1168 00:56:32,000 --> 01:01:02,000 from 1169 00:59:33,000 --> 00:58:25,000 mostly from carbon dioxide that comes to fossil 1170 01:00:56,000 --> 00:59:18,000 and then we get this yellow card and we can see 1171 00:56:49,000 --> 01:11:29,000 as well as reproducing. 1172 01:11:29,000 --> 01:05:50,000 The mid-century 1173 00:58:31,000 --> 01:03:31,000 warming 1174 00:56:02,000 --> 00:57:33,000 we get this recent 1175 01:07:43,000 --> 01:00:15,000 rather rapid warming reproduced 1176 01:11:05,000 --> 01:11:06,000 and that tells us 2 things, 1177 01:11:06,000 --> 01:08:37,000 one is that the model 1178 01:00:48,000 --> 01:08:20,000 looks realistic looks like the real world and the second thing, 1179 01:08:20,000 --> 01:06:51,000 the model tells us 1180 01:10:41,000 --> 01:11:43,000 but this recent morning is due to human beings. 1181 01:01:15,000 --> 00:55:47,000 So there you have it. 1182 00:55:47,000 --> 00:59:18,000 There seems little doubt 1183 01:03:58,000 --> 01:04:39,000 that this recent 1184 01:01:00,000 --> 01:08:50,000 rises 1185 01:03:01,000 --> 00:58:23,000 the steep rise in temperature 1186 01:09:13,000 --> 01:06:45,000 is due to human activity. 1187 01:00:17,000 --> 00:56:59,000 If you look at the green line of now. 1188 00:57:49,000 --> 01:05:30,000 True variability. 1189 01:05:30,000 --> 00:59:41,000 It's clear 1190 01:05:11,000 --> 01:07:53,000 that without the action of human beings, 1191 01:07:53,000 --> 00:56:46,000 they would have been far less temperature change 1192 01:00:36,000 --> 01:03:07,000 since the 19-7. 1193 01:07:05,000 --> 00:58:28,000 We are all involved in this, 1194 00:58:28,000 --> 00:56:31,000 our whole way of life is structured around the Burmese 1195 01:01:01,000 --> 01:02:42,000 of fossil fuels. 1196 01:09:08,000 --> 01:07:09,000 I find it sobering 1197 01:12:59,000 --> 01:02:40,000 to think 1198 01:06:30,000 --> 01:09:53,000 that while I've been traveling the world trying to record 1199 00:57:04,000 --> 01:06:47,000 the complexity and beauty of our planet. 1200 01:06:47,000 --> 01:00:10,000 The night to have been making my own contribution 1201 01:06:20,000 --> 01:03:41,000 to global warming 1202 01:10:43,000 --> 01:00:07,000 as I recognized when I presented life on Earth. 1203 01:00:07,000 --> 01:12:38,000 All those years ago. 1204 01:12:38,000 --> 00:58:32,000 We are a flexible and innovative species. 1205 01:06:22,000 --> 01:12:05,000 And we have the capacity to adapt and modify our behavior 1206 01:09:46,000 --> 00:58:37,000 now 1207 01:03:37,000 --> 01:06:59,000 we most certainly have to do so, 1208 01:06:59,000 --> 00:58:13,000 if we are to deal with climate change. 1209 00:58:13,000 --> 01:06:24,000 It's the biggest challenge 1210 01:13:34,000 --> 00:59:46,000 we have yet faced. 1211 01:13:08,000 --> 01:02:19,000 This 1212 01:08:09,000 --> 01:05:30,000 sea wall 1213 01:01:21,000 --> 01:12:11,000 was built 1214 01:02:32,000 --> 00:57:33,000 to keep out 1215 01:09:03,000 --> 01:00:04,000 what he 1216 01:03:34,000 --> 01:13:26,000 recognized it was a force of nature 1217 01:00:37,000 --> 01:08:07,000 something 1218 00:57:18,000 --> 01:08:08,000 beyond our. 1219 00:58:31,000 --> 01:08:12,000 We ourselves have become 1220 01:11:52,000 --> 01:12:13,000 a force of nature.