1 00:00:02,366 --> 00:00:07,820 (自然之声) 2 00:00:07,820 --> 00:00:10,536 45 年前,当我开始记录 3 00:00:10,536 --> 00:00:12,467 野外音景的时候 4 00:00:12,467 --> 00:00:14,889 完全没意识到蚂蚁、 5 00:00:14,889 --> 00:00:18,368 昆虫幼虫、海葵甚至病毒 6 00:00:18,368 --> 00:00:20,496 会有自己独特的声音 7 00:00:20,496 --> 00:00:21,939 但它们确实有 8 00:00:21,939 --> 00:00:25,352 地球上的每个野生栖息地都这样 9 00:00:25,352 --> 00:00:28,587 比如你们正听到我身后 亚马逊雨林的声音。 10 00:00:28,587 --> 00:00:32,161 事实上,温带雨林和热带雨林 11 00:00:32,161 --> 00:00:35,341 各自像富有生气的动物管弦乐队, 12 00:00:35,341 --> 00:00:38,569 昆虫、爬行动物、两栖动物、 鸟类和哺乳动物 13 00:00:38,569 --> 00:00:43,377 会发出瞬时和有条理的声调。 14 00:00:43,377 --> 00:00:46,304 而且每一种源自野生栖息地的音景 15 00:00:46,304 --> 00:00:49,896 也会形成自己独有的特征, 16 00:00:49,896 --> 00:00:52,813 其中包含了惊人的信息量 17 00:00:52,813 --> 00:00:57,172 今天我想与你们分享其中一些信息 18 00:00:57,172 --> 00:01:00,378 音景由三个基本源头组成。 19 00:01:00,378 --> 00:01:02,917 第一为自然声 20 00:01:02,917 --> 00:01:05,283 或在特定栖息地出现的 21 00:01:05,283 --> 00:01:07,260 非生物声音, 22 00:01:07,260 --> 00:01:09,852 比如树林中的风声,河溪流水声, 23 00:01:09,852 --> 00:01:13,446 波浪拍打岸边的声音,地球的转动声。 24 00:01:13,446 --> 00:01:16,724 第二为生物声 25 00:01:16,724 --> 00:01:19,846 在特定的栖息地里 26 00:01:19,846 --> 00:01:22,964 某个时间段和某个地方 27 00:01:22,964 --> 00:01:26,584 生物体产生的声音 28 00:01:26,584 --> 00:01:31,118 第三样为所有由人类产生的声音 29 00:01:31,118 --> 00:01:32,936 称为人工声 30 00:01:32,936 --> 00:01:36,297 其中一些是受控制的,如音乐或戏剧 31 00:01:36,297 --> 00:01:40,214 但大多数是混乱和支离破碎的 32 00:01:40,214 --> 00:01:43,919 我们将其称为嘈杂声。 33 00:01:43,919 --> 00:01:46,619 有某段时间,我认为野外音景 34 00:01:46,619 --> 00:01:48,351 就是毫无价值的人工制品, 35 00:01:48,351 --> 00:01:52,433 它们只是存在着,但谈不上重要。 36 00:01:52,433 --> 00:01:55,806 哦,我错了。我从这些接触认识到 37 00:01:55,806 --> 00:02:00,582 仔细聆听是极具价值的工具 38 00:02:00,582 --> 00:02:03,166 我们可以评估栖息地整个范围内 39 00:02:03,166 --> 00:02:06,978 所有生命的健康状况。 40 00:02:06,978 --> 00:02:10,190 60年代后期当我开始录音时, 41 00:02:10,190 --> 00:02:13,466 典型的录音方法受到限制, 42 00:02:13,466 --> 00:02:17,934 只可捕捉个别物种片断的声音, 43 00:02:17,934 --> 00:02:21,030 开始时主要是鸟声, 44 00:02:21,030 --> 00:02:26,731 但后来包括了哺乳动物和两栖动物 45 00:02:26,731 --> 00:02:30,243 对我来说,有点像 46 00:02:30,243 --> 00:02:33,308 从整个交响乐演奏中 47 00:02:33,308 --> 00:02:36,217 提取出一把小提琴的声音, 48 00:02:36,217 --> 00:02:38,787 而且只听那一部分, 49 00:02:38,787 --> 00:02:41,890 从而去理解华丽的贝多芬第五交响曲 50 00:02:41,890 --> 00:02:44,907 幸运地,越来越多机构 51 00:02:44,907 --> 00:02:46,975 采用我和一些同行共同引进 52 00:02:46,975 --> 00:02:49,338 到音景生态学中的模型, 53 00:02:49,338 --> 00:02:53,211 而这些模型更具整体性。 54 00:02:53,211 --> 00:02:58,279 40 多年前当我开始录音时, 55 00:02:58,279 --> 00:03:00,688 每录制 10 小时音景 56 00:03:00,688 --> 00:03:02,923 就能截取到 1 小时可用的材料, 57 00:03:02,923 --> 00:03:05,980 并可用于唱片或电影原声 58 00:03:05,980 --> 00:03:08,699 或博物馆陈列安置中 59 00:03:08,699 --> 00:03:11,652 现在由于全球变暖、 60 00:03:11,652 --> 00:03:13,070 资源榨取、 61 00:03:13,070 --> 00:03:16,139 人为噪音,还包括其他许多因素 62 00:03:16,139 --> 00:03:18,815 现在需要超过 1000 小时的录音 63 00:03:18,815 --> 00:03:21,648 才能截取同样的音景 64 00:03:21,648 --> 00:03:24,703 在我的音景档案中,整整 50 % 65 00:03:24,703 --> 00:03:27,899 来自已彻底改变的栖息地中。 66 00:03:27,899 --> 00:03:30,799 他们要么一片寂静, 67 00:03:30,799 --> 00:03:35,520 要么再不如从前。 68 00:03:35,520 --> 00:03:37,806 评估栖息地的通常方法, 69 00:03:37,806 --> 00:03:41,132 是在某一特定的区域内, 70 00:03:41,132 --> 00:03:45,337 清点看得见物种及其从属物种的数量 71 00:03:45,337 --> 00:03:48,889 现在,通过对比密度与多样性 72 00:03:48,889 --> 00:03:51,689 结合的数据 73 00:03:51,689 --> 00:03:57,062 我可以得出更准确的结论 74 00:03:57,062 --> 00:03:59,102 我想给你们看些例子 75 00:03:59,102 --> 00:04:01,892 通过深入这宇宙, 76 00:04:01,892 --> 00:04:04,914 可将其作为解开一切可能性的典型 77 00:04:04,914 --> 00:04:06,306 这是林肯草甸, 78 00:04:06,306 --> 00:04:08,190 位于西拉内华达山脉中, 79 00:04:08,190 --> 00:04:11,414 距旧金山以东三个半小时车程, 80 00:04:11,414 --> 00:04:13,511 海拔约 2000 米, 81 00:04:13,511 --> 00:04:16,320 很多年前我就在那儿录音 82 00:04:16,320 --> 00:04:20,240 1988 年,一家伐木公司说服当地居民 83 00:04:20,240 --> 00:04:23,402 采用一种叫做「选伐」的 84 00:04:23,402 --> 00:04:24,856 新伐木方法 85 00:04:24,856 --> 00:04:26,766 即零星分散地砍伐 86 00:04:26,766 --> 00:04:28,321 而不是把整个区域的树木全部砍伐 87 00:04:28,321 --> 00:04:31,604 绝不会对环境有影响 88 00:04:31,604 --> 00:04:33,364 我得到了准许, 89 00:04:33,364 --> 00:04:35,327 可在那儿伐木前和伐木前后录音。 90 00:04:35,327 --> 00:04:39,945 我架好设备,录下大量清晨的鸟叫声 91 00:04:39,945 --> 00:04:43,478 录音都有精确的标准,且标有刻度 92 00:04:43,478 --> 00:04:45,672 因为我想得到真正高质量的基线 93 00:04:45,672 --> 00:04:47,857 这是一个声谱图的范例 94 00:04:47,857 --> 00:04:50,288 声谱图是以图像形式表现声音 95 00:04:50,288 --> 00:04:53,461 从左到右是时间 96 00:04:53,461 --> 00:04:55,968 这个页面有 15 秒 97 00:04:55,968 --> 00:04:58,823 从底部到顶部是频率 98 00:04:58,823 --> 00:05:00,042 由最低到最高 99 00:05:00,042 --> 00:05:03,176 你们可以看到溪流的识别标志 100 00:05:03,176 --> 00:05:07,981 大概在图底的 1/3 至 1/2 的地方, 101 00:05:07,981 --> 00:05:11,424 草甸中的鸟叫声 102 00:05:11,424 --> 00:05:14,481 在图的顶部 103 00:05:14,481 --> 00:05:15,636 很多鸟的叫声 104 00:05:15,636 --> 00:05:18,800 接下来是伐木以前的林肯草甸声音 105 00:05:18,800 --> 00:05:33,593 (自然之声) 106 00:05:33,593 --> 00:05:35,471 然而,一年之后我再回到那里, 107 00:05:35,471 --> 00:05:37,228 在相同条件下 108 00:05:37,228 --> 00:05:39,943 用同样的标准录音 109 00:05:39,943 --> 00:05:42,171 且录下了几个同样的 110 00:05:42,171 --> 00:05:44,271 晨噪实例, 111 00:05:44,271 --> 00:05:46,414 这就是我们现在听到的声音 112 00:05:46,414 --> 00:05:47,694 这是在伐木以后的 113 00:05:47,694 --> 00:05:49,767 溪流的声音还 114 00:05:49,767 --> 00:05:51,674 在底部 1/3 的地方, 115 00:05:51,674 --> 00:05:56,177 但请注意上方 2/3 的地方 有什么声音不见了 116 00:05:56,177 --> 00:06:01,690 (自然之声) 117 00:06:01,690 --> 00:06:11,177 接下来是啄木鸟的声音。 118 00:06:11,177 --> 00:06:13,767 过去 25 年里 119 00:06:13,767 --> 00:06:15,251 我回过林肯草甸 15 次。 120 00:06:15,251 --> 00:06:18,937 我能明确告诉你们, 121 00:06:18,937 --> 00:06:21,842 那个生物声的密度与多样性, 122 00:06:21,842 --> 00:06:24,394 并没有回到 123 00:06:24,394 --> 00:06:26,592 伐木之前的样子 124 00:06:26,592 --> 00:06:29,690 这是林肯草甸伐木后的照片, 125 00:06:29,690 --> 00:06:32,928 你们可从照相机 126 00:06:32,928 --> 00:06:34,039 或人眼的视角看到 127 00:06:34,039 --> 00:06:36,814 葱茏的树木都还在, 128 00:06:36,814 --> 00:06:39,754 这证实了伐木公司的说辞 129 00:06:39,754 --> 00:06:42,383 选伐不会对环境表面造成影响 130 00:06:42,383 --> 00:06:48,800 可是,我们耳朵听到截然不同的故事 131 00:06:48,800 --> 00:06:50,627 年轻的学生们总问我, 132 00:06:50,627 --> 00:06:52,049 这些动物到底在说什么, 133 00:06:52,049 --> 00:06:56,911 但我真的没有主意 134 00:06:56,911 --> 00:07:02,180 但我可以告诉你们, 动物确实能表达, 135 00:07:02,180 --> 00:07:05,258 我们能否理解则是另外一回事。 136 00:07:05,258 --> 00:07:07,586 我曾在阿拉斯加的海滨漫步, 137 00:07:07,586 --> 00:07:09,930 碰巧遇到一个潮池, 138 00:07:09,930 --> 00:07:12,962 里面到处都是海葵聚居地 139 00:07:12,962 --> 00:07:15,038 这种奇妙的吃货 140 00:07:15,038 --> 00:07:17,889 是珊瑚和水母的近亲。 141 00:07:17,889 --> 00:07:20,106 我好奇它们会否制造声音 142 00:07:20,106 --> 00:07:21,277 于是我把水听器 143 00:07:21,277 --> 00:07:24,410 一种用橡胶包裹的水下传声器 144 00:07:24,410 --> 00:07:25,598 丢到它嘴边, 145 00:07:25,598 --> 00:07:27,359 它立刻就 146 00:07:27,359 --> 00:07:29,568 把扩音器吞到肚子里, 147 00:07:29,568 --> 00:07:32,262 而且触手四处寻找 148 00:07:32,262 --> 00:07:34,673 其他有营养价值的东西。 149 00:07:34,673 --> 00:07:37,178 这种静态的声音非常低, 150 00:07:37,178 --> 00:07:39,182 你们马上就会听到 151 00:07:39,182 --> 00:07:43,584 (静态声) 152 00:07:43,584 --> 00:07:46,451 呵呵,注意,当它没找到可吃的—— 153 00:07:46,451 --> 00:07:47,840 (鸣叫声) 154 00:07:47,840 --> 00:07:50,500 (笑声) 155 00:07:50,500 --> 00:07:52,997 我想这种声音 156 00:07:52,997 --> 00:07:54,414 任何人都能听懂。 157 00:07:54,414 --> 00:07:59,280 (笑声) 158 00:07:59,280 --> 00:08:00,880 在美国西部,大盆地犁足蟾蜍 159 00:08:00,880 --> 00:08:03,036 完成繁殖周期后, 160 00:08:03,036 --> 00:08:05,111 会把自己埋在距地面约一米的 161 00:08:05,111 --> 00:08:08,261 坚硬沙漠土壤下 162 00:08:08,261 --> 00:08:10,140 待上几个季节 163 00:08:10,140 --> 00:08:13,640 直到条件适合才会再出来。 164 00:08:13,640 --> 00:08:15,350 春天时,当土壤中有了足够的水分, 165 00:08:15,350 --> 00:08:18,145 青蛙会回到地表, 166 00:08:18,145 --> 00:08:22,626 大规模的聚集在 167 00:08:22,626 --> 00:08:24,663 巨大且充满春意的水池边。 168 00:08:24,663 --> 00:08:28,069 它们齐声高歌, 169 00:08:28,069 --> 00:08:31,277 而且彼此同步一致 170 00:08:31,277 --> 00:08:32,681 这样做有两个原因 171 00:08:32,681 --> 00:08:36,302 第一个是竞争,因为它们在求偶 172 00:08:36,302 --> 00:08:37,667 第二个是合作, 173 00:08:37,667 --> 00:08:40,148 如果它们一齐同步发声的话 174 00:08:40,148 --> 00:08:44,395 土狼、狐狸和猫头鹰等捕食者 175 00:08:44,395 --> 00:08:48,614 就很难捕食到某单只青蛙。 176 00:08:48,614 --> 00:08:51,886 这个声谱图就是蛙叫的表现形式, 177 00:08:51,886 --> 00:08:54,147 而且是很健康的模式 178 00:08:54,147 --> 00:09:04,163 (青蛙呱呱地叫) 179 00:09:04,163 --> 00:09:08,128 莫诺湖在加利福利亚州 180 00:09:08,128 --> 00:09:09,957 约塞米蒂国家公园的东边, 181 00:09:09,957 --> 00:09:12,812 这里是一片蟾蜍喜欢的栖息地, 182 00:09:12,812 --> 00:09:15,699 然而美国海军喷气机驾驶员也很喜欢, 183 00:09:15,699 --> 00:09:18,745 他们在这里训练战士驾驶战斗机 184 00:09:18,745 --> 00:09:21,203 时速超过 1100 千米, 185 00:09:21,203 --> 00:09:23,984 贴着莫诺盆地 186 00:09:23,984 --> 00:09:26,563 上方几百米飞行, 187 00:09:26,563 --> 00:09:30,237 极快、极低且声音极大 188 00:09:30,237 --> 00:09:33,103 这种人为噪音 189 00:09:33,103 --> 00:09:34,953 你们刚才也听到了, 190 00:09:34,953 --> 00:09:37,927 尽管距离在蛙塘 6.5 千米 191 00:09:37,927 --> 00:09:41,493 但却掩盖了蟾蜍的鸣声 192 00:09:41,493 --> 00:09:44,759 在这声谱图中,所有在前一个图中 193 00:09:44,759 --> 00:09:47,506 表现出来的能量 194 00:09:47,506 --> 00:09:49,253 全部从声谱图顶部消失了, 195 00:09:49,253 --> 00:09:51,766 并且齐鸣中有间断,2.5 秒处、 196 00:09:51,766 --> 00:09:54,279 4.5 秒处和 6.5 秒处, 197 00:09:54,279 --> 00:09:57,378 之后是喷气机的声音, 198 00:09:57,378 --> 00:09:59,937 特征是最底部的黄色部分 199 00:09:59,937 --> 00:10:09,582 (青蛙呱呱地叫) 200 00:10:09,582 --> 00:10:11,976 现在是喷气机飞过的尾声 201 00:10:11,976 --> 00:10:15,465 整整45分钟后 202 00:10:15,465 --> 00:10:17,869 蛙群才恢复同步齐鸣。 203 00:10:17,869 --> 00:10:20,814 在这段时间里,一轮满月高挂夜空, 204 00:10:20,814 --> 00:10:23,595 我们发现两只土狼和一只大角猫头鹰 205 00:10:23,595 --> 00:10:26,702 抓走了几只青蛙。 206 00:10:26,718 --> 00:10:30,244 好消息是,由于栖息地的恢复、 207 00:10:30,244 --> 00:10:32,949 飞机噪音减少了影响, 208 00:10:32,949 --> 00:10:36,672 在 80 年代和 90 年代初 一度递减的青蛙数量 209 00:10:36,672 --> 00:10:40,205 现已几乎回到正常 210 00:10:40,205 --> 00:10:43,144 我想用一个关于海狸的故事结束演讲, 211 00:10:43,144 --> 00:10:44,618 这是一个很悲伤的故事, 212 00:10:44,618 --> 00:10:48,496 但真实的展现了 213 00:10:48,496 --> 00:10:50,478 动物有时也会表达情感。 214 00:10:50,478 --> 00:10:55,130 这论点对一些老生物学家来说颇具争议。 215 00:10:55,130 --> 00:10:58,363 有一次,我同事 216 00:10:58,363 --> 00:11:00,905 在美国中西部的一个池塘附近录音 217 00:11:00,905 --> 00:11:04,804 这个池塘约在 16000 年前 的冰川时期末尾形成 218 00:11:04,804 --> 00:11:06,957 海狸坝也是池塘的重要组成部分, 219 00:11:06,957 --> 00:11:09,875 在一端把整个生态系统连在一起, 220 00:11:09,875 --> 00:11:12,627 使其保持微妙的平衡。 221 00:11:12,627 --> 00:11:16,402 某天下午,正当他录音时, 222 00:11:16,402 --> 00:11:20,226 突然间冒出 223 00:11:20,226 --> 00:11:22,674 几个狩猎监督官, 224 00:11:22,674 --> 00:11:24,269 无端端地 225 00:11:24,269 --> 00:11:25,848 走到海狸坝上, 226 00:11:25,848 --> 00:11:29,130 把一串炸药扔到坝底,把坝炸掉了, 227 00:11:29,130 --> 00:11:33,160 炸死了许多雌海狸和年幼婴儿 228 00:11:33,160 --> 00:11:35,992 同事惊呆了,他躲在后面 229 00:11:35,992 --> 00:11:38,033 整理思绪 230 00:11:38,033 --> 00:11:41,517 想在下午剩下的时间 录下所有他能录下的声音 231 00:11:41,517 --> 00:11:46,410 当天傍晚,他发现 一件不可思议的事情, 232 00:11:46,410 --> 00:11:50,599 幸存的雄海狸组成一个个圈, 在水里慢慢游着, 233 00:11:50,599 --> 00:11:56,332 为死去的配偶和幼婴悲恸的哭着。 234 00:11:56,332 --> 00:11:59,241 或许这是我从所有生物里 235 00:11:59,241 --> 00:12:02,159 听到过最悲哀的声音, 236 00:12:02,159 --> 00:12:04,878 不管是人还是其他生物 237 00:12:06,517 --> 00:12:22,180 (海狸的哭声) 238 00:12:22,180 --> 00:12:23,995 好的 239 00:12:23,995 --> 00:12:26,577 音景还有其他方面, 240 00:12:26,577 --> 00:12:29,793 其中,动物教导我们舞蹈和歌唱 241 00:12:29,793 --> 00:12:32,418 我留着下次再讲。 242 00:12:32,418 --> 00:12:35,436 但是你们知道了生物声 243 00:12:35,436 --> 00:12:39,279 怎样帮助我们理解自然世界 244 00:12:39,279 --> 00:12:41,743 你们也听说资源榨取、 245 00:12:41,743 --> 00:12:44,807 人为噪音和栖所破坏的影响。 246 00:12:44,807 --> 00:12:46,785 环境科学已试着通过我们所看见的 247 00:12:46,785 --> 00:12:50,127 去认识这个世界, 248 00:12:50,127 --> 00:12:54,595 通过我们所听见的, 可有较为充分的认识。 249 00:12:54,595 --> 00:12:58,452 生物声和自然声 250 00:12:58,452 --> 00:13:00,443 是自然界独特的声音。 251 00:13:00,443 --> 00:13:01,796 当我们听到这些声音 252 00:13:01,796 --> 00:13:04,468 就会对那地方具有感觉 253 00:13:04,468 --> 00:13:07,885 就是我们居住的世界的真实故事。 254 00:13:07,885 --> 00:13:09,804 在几秒钟内 255 00:13:09,804 --> 00:13:12,519 从许多方面来看, 256 00:13:12,519 --> 00:13:14,067 音景揭示了更多的信息 257 00:13:14,067 --> 00:13:18,689 由量化数据到创作灵感。 258 00:13:18,689 --> 00:13:21,590 在特定的空间范围内, 259 00:13:21,590 --> 00:13:25,586 影像撷取隐含地表达局限的正面角度 260 00:13:25,586 --> 00:13:27,959 而音景把那个视野范围 261 00:13:27,959 --> 00:13:33,144 扩濶到360度,将我们完全包围。 262 00:13:33,144 --> 00:13:36,916 如果一张图胜过千言万语, 263 00:13:36,916 --> 00:13:41,289 那么一个音景就值一千张图。 264 00:13:41,289 --> 00:13:43,413 耳朵告诉我们, 265 00:13:43,413 --> 00:13:47,008 每一片树叶和每种生物的窃窃私语 266 00:13:47,008 --> 00:13:50,082 诉说着我们生活的自然来源, 267 00:13:50,082 --> 00:13:55,144 甚至包含了博爱的真谛, 268 00:13:55,144 --> 00:13:57,102 尤其是人性 269 00:13:57,102 --> 00:14:03,387 最后一句话就由來自 亚马逊森林的美洲豹说吧。 270 00:14:03,387 --> 00:14:17,135 (咆哮声) 271 00:14:17,135 --> 00:14:19,335 谢谢你的收听 272 00:14:19,335 --> 00:14:25,032 (掌声)