WEBVTT 00:00:00.030 --> 00:00:04.440 00:00:04.440 --> 00:00:07.165 問題的根源 00:00:07.165 --> 00:00:09.119 尤其是ˋ政府的問題 00:00:09.119 --> 00:00:10.650 是人口成長 00:00:12.330 --> 00:00:14.789 [音樂] 00:00:21.960 --> 00:00:23.780 00:00:23.780 --> 00:00:25.980 因為它們面對主要 00:00:25.980 --> 00:00:28.749 關於氣候變遷的迷思 00:00:28.749 --> 00:00:30.889 主要迷思之一是氣候變遷 00:00:30.889 --> 00:00:33.270 是遙遠的問題,像太空那樣遠 00:00:33.270 --> 00:00:35.700 只關乎北極熊而不關人類的事 00:00:35.700 --> 00:00:36.980 時間很遙遠 00:00:36.980 --> 00:00:39.309 只會發生在未來世代,與當代人無關 00:00:39.309 --> 00:00:41.056 這個迷思不只是在 00:00:41.056 --> 00:00:43.250 那些不認為氣候變遷真實存在 00:00:43.250 --> 00:00:44.990 許多認同氣候變遷者視為 00:00:44.990 --> 00:00:46.410 「喔,就是我們 00:00:46.410 --> 00:00:47.994 以後再想辦法 00:00:47.994 --> 00:00:49.849 00:00:49.849 --> 00:00:51.149 「不。我們正在面對 00:00:51.149 --> 00:00:53.040 不管你喜不喜歡 00:00:53.040 --> 00:00:54.900 讓我們給你看 00:00:54.900 --> 00:00:57.289 世界上正面臨問題的臉孔 00:00:57.289 --> 00:01:00.209 我們不是在講四、五十年前。 00:01:00.209 --> 00:01:01.809 喔,ˊ這將會是個問題。 00:01:01.809 --> 00:01:02.879 這就是個問題。 00:01:02.879 --> 00:01:04.789 所有系統 00:01:04.789 --> 00:01:06.909 農業及都市環境 00:01:06.909 --> 00:01:08.500 所有我們設定好的 00:01:08.500 --> 00:01:11.070 都基於預測 00:01:11.070 --> 00:01:14.310 氣候非常穩定 00:01:14.310 --> 00:01:16.289 而現在開始出現變化 00:01:16.289 --> 00:01:20.030 00:01:20.030 --> 00:01:21.490 科學界正在看 00:01:21.490 --> 00:01:23.670 那對氣候的影響 00:01:23.670 --> 00:01:26.070 對人類的影響 對海平面的影響 00:01:26.070 --> 00:01:27.450 降雨量的影響 00:01:27.450 --> 00:01:29.799 將會影響糧食生產 00:01:29.799 --> 00:01:31.363 將會影響 00:01:31.363 --> 00:01:32.669 人們要住哪,對吧? 00:01:32.669 --> 00:01:34.310 有嚴重的影響 00:01:34.310 --> 00:01:36.559 將會影響生物多樣性 00:01:36.559 --> 00:01:38.021 而我認為這 00:01:38.021 --> 00:01:39.440 比海平面上升影響還大 00:01:39.440 --> 00:01:40.450 物種滅絕 00:01:40.880 --> 00:01:43.380 不幸ˋ,不是那些 00:01:43.380 --> 00:01:44.990 製造問題的人 00:01:44.990 --> 00:01:46.730 影響最大 00:01:46.810 --> 00:01:49.320 美國有最高 00:01:49.320 --> 00:01:50.650 平均通勤人口 00:01:51.110 --> 00:01:53.040 但是ˊ住在開發中 00:01:53.040 --> 00:01:55.634 國家或地區影響最大 00:01:56.250 --> 00:01:58.320 可憐的加勒ˋ比海人已受 00:01:58.320 --> 00:02:01.340 海水入侵、遇水災及海平面上升 00:02:01.340 --> 00:02:03.240 但他們沒有將溫室 00:02:03.240 --> 00:02:05.283 氣體排放至大氣中 00:02:05.283 --> 00:02:07.330 想像你在一個 00:02:07.330 --> 00:02:08.800 低海拔太平洋島上 00:02:08.800 --> 00:02:10.869 實際上海平面只要稍微上升 00:02:10.869 --> 00:02:14.648 就足以讓你的生活產生巨大影響 00:02:14.648 --> 00:02:16.307 加上 00:02:16.307 --> 00:02:18.699 漲潮或暴雨來襲 00:02:18.699 --> 00:02:19.984 然後,可想而知 00:02:19.984 --> 00:02:23.410 我們世上有些地區禁不起 00:02:23.410 --> 00:02:25.690 這些世界加總起來的破壞 00:02:25.690 --> 00:02:28.170 我們人類很脆弱 00:02:28.740 --> 00:02:32.163 禁不起相對小的海平面上升幅度 00:02:32.163 --> 00:02:34.240 有些國家如孟加拉 00:02:34.240 --> 00:02:37.050 荷蘭及所有 00:02:37.050 --> 00:02:38.490 位於南太平洋環礁 00:02:38.490 --> 00:02:40.837 會整個被摧毀 00:02:41.807 --> 00:02:44.290 只要海平面上升超過一公尺 00:02:44.740 --> 00:02:46.970 數百萬人 00:02:47.269 --> 00:02:49.264 將會流離失所 00:02:49.264 --> 00:02:51.429 根據海平面上升幅度低點預測 00:02:51.709 --> 00:02:53.542 若我們開始用高估值追蹤 00:02:53.542 --> 00:02:57.220 因為陸上冰層快速融化 00:02:57.220 --> 00:02:59.559 發生在格陵蘭及北極地區 00:02:59.559 --> 00:03:01.969 將會有更多 00:03:01.969 --> 00:03:04.320 人口流離失所 00:03:04.320 --> 00:03:06.429 海平面上升約一公尺 00:03:07.139 --> 00:03:10.919 意味可能會有 00:03:10.919 --> 00:03:13.289 高達兩千萬人流離失所 00:03:13.509 --> 00:03:15.630 line:1 很明顯推進 00:03:15.630 --> 00:03:17.751 line:1 緩慢氣候進程 00:03:18.149 --> 00:03:20.330 很多我們所打造的 00:03:20.729 --> 00:03:22.169 突然達到閾值 00:03:23.009 --> 00:03:26.343 00:03:26.343 --> 00:03:28.332 00:03:28.332 --> 00:03:30.716 00:03:31.319 --> 00:03:32.799 00:03:32.979 --> 00:03:35.234 而那些微的改變 00:03:35.234 --> 00:03:37.210 足以決定是否 00:03:37.210 --> 00:03:39.609 你的城市在後續幾週是否能住 00:03:39.749 --> 00:03:42.076 我認為熱帶 00:03:42.076 --> 00:03:45.244 最先目睹實質影響 00:03:45.244 --> 00:03:48.664 人類,因為住在下游 00:03:48.664 --> 00:03:51.020 冰川下游 00:03:51.020 --> 00:03:53.322 龐大人口住在下游 00:03:53.772 --> 00:03:56.046 所以,冰川所發生的事 00:03:56.046 --> 00:03:57.407 變得非常重要 00:03:57.810 --> 00:03:58.835 冰川的作用是 00:03:58.835 --> 00:04:00.330 line:1 基本上作為海綿 00:04:00.330 --> 00:04:01.938 line:1 所以,冬季時承受 00:04:01.938 --> 00:04:03.547 line:1 降雪 00:04:03.960 --> 00:04:05.550 然後釋放積雪 00:04:05.550 --> 00:04:06.939 於一年中的乾季 00:04:06.939 --> 00:04:08.409 一般而言是夏季 00:04:08.409 --> 00:04:10.304 所以冰川的功能傾向分配 00:04:10.304 --> 00:04:12.570 年降雨量 00:04:12.570 --> 00:04:16.665 就是讓該地能進行 00:04:16.665 --> 00:04:18.950 農業活動,如在夏季 00:04:18.950 --> 00:04:20.440 有些區域 00:04:20.440 --> 00:04:21.679 很乾燥 00:04:21.679 --> 00:04:23.349 如果你到祕魯等國 00:04:23.349 --> 00:04:25.830 地球七成熱帶冰川 00:04:25.830 --> 00:04:28.501 在祕魯安地斯山脈 00:04:28.501 --> 00:04:31.199 該國有三千四百萬人口 00:04:31.619 --> 00:04:33.590 逾五成住在沙漠 00:04:33.590 --> 00:04:36.920 位於祕魯西海岸,仰賴河流源自 00:04:36.920 --> 00:04:39.168 安地斯山脈上的冰川 00:04:41.228 --> 00:04:43.780 七成六電力 00:04:43.780 --> 00:04:45.234 來自水力發電 00:04:45.664 --> 00:04:47.969 水源來自冰川 00:04:47.969 --> 00:04:49.980 若你在西藏工作, 00:04:49.980 --> 00:04:51.760 那有四萬六千條冰川 00:04:52.160 --> 00:04:54.220 而你拿一條河如印度河 00:04:54.220 --> 00:04:57.533 它流經中國、巴基斯坦、 00:04:57.533 --> 00:04:59.553 及印度,皆屬 00:04:59.553 --> 00:05:01.273 核能國家。 00:05:01.800 --> 00:05:04.679 水源皆仰賴該河 00:05:05.399 --> 00:05:08.480 這些地方是地理政治熱點 00:05:08.480 --> 00:05:09.877 在未來 00:05:10.210 --> 00:05:13.591 我認為也許農業的影響最大,因為 00:05:14.080 --> 00:05:16.587 若你想到草原 00:05:16.587 --> 00:05:17.990 綿延洛磯山脈東部 00:05:17.990 --> 00:05:19.370 那大片地區滋養 00:05:19.370 --> 00:05:21.222 來自源於洛磯山脈的河流 00:05:21.222 --> 00:05:23.110 所以,你能想像如果試圖 00:05:23.110 --> 00:05:26.878 餵飽全球人 00:05:27.388 --> 00:05:29.381 有小麥等穀物,例如 00:05:29.381 --> 00:05:33.181 沒有高耐受性 00:05:33.181 --> 00:05:37.006 接受某個高閾值,那麼我們可能會陷入嚴重問題 00:05:37.006 --> 00:05:40.450 那些無法取得 00:05:40.450 --> 00:05:42.040 如空調等物 00:05:42.040 --> 00:05:43.810 或良好公共衛生建設 00:05:43.810 --> 00:05:45.370 你知道,如果遇上熱浪 00:05:45.370 --> 00:05:46.500 在那些地區 00:05:46.500 --> 00:05:48.010 人民會生病,長者 00:05:48.010 --> 00:05:49.840 通常遇到熱浪後容易重病 00:05:49.840 --> 00:05:51.310 若他們沒有公共設施 00:05:51.310 --> 00:05:52.840 來應對,那更多人 00:05:52.840 --> 00:05:54.476 會不幸喪命 00:05:54.476 --> 00:05:55.760 所以,當你看待衛生 00:05:55.760 --> 00:05:58.080 而看向發病率 00:05:58.080 --> 00:06:01.549 在熱浪來時會大幅上升 00:06:01.549 --> 00:06:05.449 其實,2003年歐洲 00:06:05.449 --> 00:06:06.560 有大約 00:06:06.560 --> 00:06:08.150 三到五千 00:06:08.150 --> 00:06:09.830 多出的死亡人數 00:06:09.830 --> 00:06:11.510 肇因於熱浪 00:06:11.910 --> 00:06:13.765 我在東非的幾項研究 00:06:13.765 --> 00:06:15.976 我們看到氣候變遷影響 00:06:15.976 --> 00:06:18.113 那些地方,非常可怕 00:06:18.113 --> 00:06:20.584 發生在當地人 00:06:20.584 --> 00:06:22.584 當瘧疾 00:06:22.584 --> 00:06:26.080 病媒蚊分布擴大,使當地人喪命 00:06:26.080 --> 00:06:28.930 對我這不是學術議題 00:06:28.930 --> 00:06:31.411 這是個深度倫理議題 00:06:32.054 --> 00:06:34.414 氣候變遷在極短期間 00:06:34.414 --> 00:06:37.458 代價大,但不是太大 00:06:37.458 --> 00:06:40.494 而當氣候變遷擴大 00:06:40.494 --> 00:06:42.644 當我們往更遠的未來看去 00:06:42.644 --> 00:06:45.692 代價更大。損失更多 00:06:46.393 --> 00:06:49.063 很粗略的算,每上升一度 00:06:49.063 --> 00:06:51.453 比上升前一度代價更大 00:06:51.883 --> 00:06:54.494 第一度幾乎就像雜訊 00:06:54.494 --> 00:06:57.763 我們習慣的那樣,代價不算太高 00:06:57.763 --> 00:06:59.335 但我們已經習慣 00:06:59.574 --> 00:07:01.384 而第二度代價稍高 00:07:01.384 --> 00:07:03.104 朝向經驗外 00:07:03.104 --> 00:07:05.799 開始造成壓力 00:07:05.799 --> 00:07:09.828 00:07:09.828 --> 00:07:11.879 00:07:11.879 --> 00:07:13.526 00:07:13.526 --> 00:07:16.430 00:07:16.430 --> 00:07:19.139 00:07:19.139 --> 00:07:20.899 00:07:20.899 --> 00:07:22.850 00:07:22.850 --> 00:07:25.900 00:07:25.900 --> 00:07:28.490 00:07:28.490 --> 00:07:30.640 00:07:30.640 --> 00:07:32.530 00:07:32.530 --> 00:07:35.612 00:07:35.612 --> 00:07:38.050 00:07:38.050 --> 00:07:40.199 00:07:40.199 --> 00:07:41.990 00:07:41.990 --> 00:07:43.180 00:07:43.180 --> 00:07:45.020 00:07:45.020 --> 00:07:46.226 00:07:46.226 --> 00:07:47.786 00:07:47.786 --> 00:07:49.314 00:07:49.314 --> 00:07:51.857 00:07:51.857 --> 00:07:53.577 00:07:53.577 --> 00:07:55.317 00:07:55.317 --> 00:07:57.767 00:07:57.767 --> 00:08:02.050 00:08:02.050 --> 00:08:05.673 00:08:05.673 --> 00:08:07.481 00:08:07.481 --> 00:08:08.580 00:08:08.580 --> 00:08:10.659 00:08:10.659 --> 00:08:12.960 00:08:12.960 --> 00:08:14.700 00:08:14.700 --> 00:08:17.357 00:08:17.357 --> 00:08:19.279 line:1 00:08:19.279 --> 00:08:21.140 line:1 00:08:21.140 --> 00:08:22.940 line:1 00:08:22.940 --> 00:08:25.730 line:1 00:08:25.730 --> 00:08:29.537 00:08:29.537 --> 00:08:30.840 00:08:30.840 --> 00:08:32.370 00:08:32.370 --> 00:08:34.490 00:08:34.490 --> 00:08:38.590