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These are the user uploaded subtitles that are being translated: 1 00:00:03,400 --> 00:00:05,360 LOW PEEPING 2 00:00:07,520 --> 00:00:10,360 SHARP CHIRPING 3 00:00:10,360 --> 00:00:13,720 LILTING SONG 4 00:00:13,720 --> 00:00:15,760 LOW, BABBLING CALL 5 00:00:15,760 --> 00:00:18,000 HIGH, REPEATING CALL 6 00:00:18,000 --> 00:00:19,920 CHATTERING SONG 7 00:00:19,920 --> 00:00:27,920 DAWN CHORUS BUILDS 8 00:00:29,960 --> 00:00:32,320 SHRILL, WHIRLING CALL 9 00:00:32,320 --> 00:00:38,400 On a clear spring morning like this, the dawn chorus is at its peak. 10 00:00:38,400 --> 00:00:40,840 DAWN CHORUS CONTINUES 11 00:00:40,840 --> 00:00:45,760 There are surely few more enchanting natural soundscapes than this. 12 00:00:45,760 --> 00:00:49,320 DAWN CHORUS CONTINUES 13 00:00:49,320 --> 00:00:54,000 But this avian choir does not sing for us. 14 00:00:58,440 --> 00:01:03,000 These are songs of seduction and weapons of war. 15 00:01:04,280 --> 00:01:08,480 Males are defending territories and attracting mates. 16 00:01:08,480 --> 00:01:10,640 LOW CHIRPING 17 00:01:10,640 --> 00:01:12,040 COOING 18 00:01:12,040 --> 00:01:14,160 Singing is dangerous. 19 00:01:14,160 --> 00:01:15,280 CUCKOO! 20 00:01:15,280 --> 00:01:16,480 HIGH, CHATTERING SONG 21 00:01:16,480 --> 00:01:19,320 It reveals the bird's location to predators. 22 00:01:20,680 --> 00:01:23,720 But it also offers a huge reward - 23 00:01:23,720 --> 00:01:25,760 the chance to attract a female and 24 00:01:25,760 --> 00:01:29,080 pass on genes to the next generation. 25 00:01:29,080 --> 00:01:32,840 That, Charles Darwin said, is why song evolved. 26 00:01:34,800 --> 00:01:38,280 It was an example of what he called sexual selection. 27 00:01:41,720 --> 00:01:46,920 But, today, new discoveries are transforming those long-held ideas. 28 00:01:49,080 --> 00:01:50,280 For this programme, 29 00:01:50,280 --> 00:01:54,160 I've chosen some of my favourite recordings from the natural world 30 00:01:54,160 --> 00:01:57,440 that have revolutionised our understanding of song. 31 00:02:00,040 --> 00:02:02,360 There are seven recordings of it 32 00:02:02,360 --> 00:02:05,760 that have particular interest for me. 33 00:02:05,760 --> 00:02:07,360 Some are lovely, 34 00:02:07,360 --> 00:02:09,200 some are surprising, 35 00:02:09,200 --> 00:02:11,800 and one almost broke my heart. 36 00:02:11,800 --> 00:02:14,400 But all of them broke new ground. 37 00:02:14,400 --> 00:02:20,880 ANIMALS SING 38 00:02:24,920 --> 00:02:28,680 BIRDSONG, INSECTS BUZZING 39 00:02:30,600 --> 00:02:34,120 I've recorded many sounds of the natural world over the years... 40 00:02:35,840 --> 00:02:38,720 ..and I've learned that there is, perhaps surprisingly, 41 00:02:38,720 --> 00:02:41,440 no scientific definition of song. 42 00:02:43,840 --> 00:02:45,360 We tend to use the word 43 00:02:45,360 --> 00:02:48,960 to describe sounds that seem, to our ears, beautiful. 44 00:02:48,960 --> 00:02:51,520 TUNEFUL WHISTLING 45 00:02:53,960 --> 00:02:58,280 It is, in truth, a somewhat whimsical label, 46 00:02:58,280 --> 00:03:02,120 but it has been attached to some of nature's greatest marvels. 47 00:03:02,120 --> 00:03:04,640 Just listen to this. 48 00:03:04,640 --> 00:03:09,480 WHALE SONG 49 00:03:19,840 --> 00:03:25,160 Each of my seven chosen songs was recorded in my lifetime. 50 00:03:26,400 --> 00:03:27,880 BOUNCING CHIRP 51 00:03:27,880 --> 00:03:31,240 The oldest was made when I was five. 52 00:03:31,240 --> 00:03:33,840 The most recent, just a few years ago. 53 00:03:33,840 --> 00:03:37,480 CHATTERING SONG 54 00:03:37,480 --> 00:03:40,440 None is closer to my heart than the first one... 55 00:03:40,440 --> 00:03:41,880 HONKING CALLS 56 00:03:41,880 --> 00:03:44,960 ..which I made back in 1960. 57 00:03:44,960 --> 00:03:46,200 HE CHUCKLES 58 00:03:46,200 --> 00:03:51,280 WHOOPING CALLS 59 00:03:59,600 --> 00:04:03,000 Recording audio in the field in remote parts of the world 60 00:04:03,000 --> 00:04:05,440 was almost unheard of. 61 00:04:05,440 --> 00:04:10,480 There was certainly no money in the BBC budget for a sound recordist, 62 00:04:10,480 --> 00:04:14,000 but I did manage to get hold of a very rare thing indeed - 63 00:04:14,000 --> 00:04:17,160 a battery-driven portable tape recorder - 64 00:04:17,160 --> 00:04:19,680 so that I could record sounds myself. 65 00:04:22,240 --> 00:04:26,360 It was a cumbersome piece of kit, but cutting-edge at the time, 66 00:04:26,360 --> 00:04:29,560 and I was determined to use it to record a singer 67 00:04:29,560 --> 00:04:32,040 that no-one had ever recorded before. 68 00:04:33,160 --> 00:04:36,480 Madagascar's largest lemur, the indri. 69 00:04:39,160 --> 00:04:41,920 EERIE WHOOPING CALLS 70 00:04:41,920 --> 00:04:44,400 PAST ATTENBOROUGH: This noise was no bird call. 71 00:04:44,400 --> 00:04:46,840 I had never heard anything like it before. 72 00:04:46,840 --> 00:04:48,800 It must be the voice of the indris. 73 00:04:48,800 --> 00:04:53,200 CALLS CONTINUE 74 00:04:53,200 --> 00:04:55,520 PRESENT ATTENBOROUGH: Using my new equipment, 75 00:04:55,520 --> 00:04:58,920 I made the first-ever audio recording of the indri. 76 00:04:58,920 --> 00:05:02,320 CALLS CONTINUE 77 00:05:05,920 --> 00:05:09,400 But could we also capture them on camera as well? 78 00:05:11,040 --> 00:05:14,160 PAST: The song was so loud that it seemed impossible 79 00:05:14,160 --> 00:05:17,560 that the animals could be more than 20 or 30 yards away, 80 00:05:17,560 --> 00:05:19,080 but where were they? 81 00:05:19,080 --> 00:05:21,760 CALLS CONTINUE 82 00:05:21,760 --> 00:05:24,520 PRESENT: Until now, no-one had even managed 83 00:05:24,520 --> 00:05:28,560 to photograph a living one, let alone film it. 84 00:05:28,560 --> 00:05:31,200 PAST: Infuriatingly, the bush was so thick 85 00:05:31,200 --> 00:05:33,720 that I could see no sign of them, whatever. 86 00:05:33,720 --> 00:05:36,240 CALLS CONTINUE 87 00:05:36,240 --> 00:05:39,960 So the question was, how could we get close enough 88 00:05:39,960 --> 00:05:42,640 to get a clear view of them without frightening them? 89 00:05:44,040 --> 00:05:47,360 "Well," I thought, "what about doing it the other way around 90 00:05:47,360 --> 00:05:51,560 "and trying to persuade them to get closer to us 91 00:05:51,560 --> 00:05:53,920 "by playing their calls?" 92 00:05:58,760 --> 00:06:02,480 RECORDING OF INDRI CALLS PLAYS 93 00:06:02,480 --> 00:06:05,920 And they did exactly what I hoped they would do. 94 00:06:05,920 --> 00:06:11,080 RECORDING CONTINUES 95 00:06:11,080 --> 00:06:15,200 NEARBY CALLS 96 00:06:15,200 --> 00:06:18,400 They called in return, came down close to us, 97 00:06:18,400 --> 00:06:20,480 stared at us, still calling. 98 00:06:20,480 --> 00:06:23,520 INDRIS CALL 99 00:06:26,720 --> 00:06:29,160 PRESENT: I was thrilled - 100 00:06:29,160 --> 00:06:32,960 we had recorded their song and filmed them singing. 101 00:06:35,920 --> 00:06:38,600 But why had this trick worked? 102 00:06:38,600 --> 00:06:41,520 INDRI CALL 103 00:06:44,040 --> 00:06:46,920 Well, because they thought that the song I was playing 104 00:06:46,920 --> 00:06:50,080 meant a competitor was close by, 105 00:06:50,080 --> 00:06:52,640 and their response was to sing. 106 00:06:55,720 --> 00:06:59,520 And this suggested one thing. 107 00:06:59,520 --> 00:07:03,240 There are such things as battle songs. 108 00:07:03,240 --> 00:07:05,080 INDRI HOOTS 109 00:07:06,120 --> 00:07:10,440 Songs that say, "Get out, this is my territory!" 110 00:07:10,440 --> 00:07:12,480 INDRIS CALL 111 00:07:13,480 --> 00:07:16,920 GENTLE BIRDSONG 112 00:07:16,920 --> 00:07:19,080 It seemed to be a clear example 113 00:07:19,080 --> 00:07:22,400 of Darwin's theory of sexual selection. 114 00:07:24,200 --> 00:07:27,640 A male singing to defend his breeding patch. 115 00:07:29,040 --> 00:07:31,720 But this was still just guesswork. 116 00:07:33,720 --> 00:07:37,960 We suspected that songs could be weapons of war, 117 00:07:37,960 --> 00:07:40,880 but it was the next recording that proved it. 118 00:07:44,960 --> 00:07:49,000 LILTING CHIRPS 119 00:07:53,040 --> 00:07:55,000 LILTING CHIRPS 120 00:07:55,000 --> 00:07:58,640 This is the song of a male great tit. 121 00:07:58,640 --> 00:08:01,160 A call, a very simple song. 122 00:08:03,720 --> 00:08:05,760 It was recorded by a scientist 123 00:08:05,760 --> 00:08:09,280 who's been a pioneer in understanding animal song. 124 00:08:10,840 --> 00:08:12,560 Professor John Krebs. 125 00:08:14,120 --> 00:08:16,960 He was the one who proved for the first time 126 00:08:16,960 --> 00:08:20,440 exactly why my playback trick in Madagascar had worked. 127 00:08:27,960 --> 00:08:30,600 Spring 1975. 128 00:08:33,080 --> 00:08:37,280 Back then, John was a young lecturer at the University of Oxford, 129 00:08:37,280 --> 00:08:40,920 researching the birds in woodland just outside the city. 130 00:08:42,760 --> 00:08:47,160 First, he plotted the territories of all the pairs of great tits. 131 00:08:48,520 --> 00:08:52,280 Next, he recorded the songs of the males. 132 00:08:52,280 --> 00:08:55,840 REPEATING HIGH-LOW CHIRPS 133 00:08:59,040 --> 00:09:01,720 Female great tits do not sing. 134 00:09:04,280 --> 00:09:06,800 Then, on a particular morning in February, 135 00:09:06,800 --> 00:09:10,960 I came out with mist nets to catch the birds, 136 00:09:10,960 --> 00:09:14,080 and I caught all the pairs of birds that were in the woods. 137 00:09:15,440 --> 00:09:18,760 Now there were no great tits, 138 00:09:18,760 --> 00:09:21,600 just empty great tit territories. 139 00:09:21,600 --> 00:09:24,560 BIRDSONG 140 00:09:24,560 --> 00:09:29,000 In some, John replaced the great tits with loudspeakers 141 00:09:29,000 --> 00:09:34,040 that played the sounds of the birds that he had temporarily removed. 142 00:09:34,040 --> 00:09:36,440 RECORDING OF GREAT TIT SONG PLAYS 143 00:09:36,440 --> 00:09:38,880 If the song was a "keep out" signal, 144 00:09:38,880 --> 00:09:41,960 then new great tits would avoid these patches. 145 00:09:41,960 --> 00:09:46,400 RECORDING CONTINUES 146 00:09:46,400 --> 00:09:49,000 Other territories were left silent. 147 00:09:49,000 --> 00:09:52,320 No speakers, no great tit song. 148 00:09:53,440 --> 00:09:58,040 New great tits should realise these spaces were empty and available, 149 00:09:58,040 --> 00:09:59,920 and settle there quickly. 150 00:09:59,920 --> 00:10:02,480 RECORDING CONTINUES 151 00:10:02,480 --> 00:10:06,320 But how would John know that it was due to a great tit song 152 00:10:06,320 --> 00:10:08,640 that newcomers had been deterred? 153 00:10:10,480 --> 00:10:12,960 Perhaps any sound would have had the same effect. 154 00:10:14,640 --> 00:10:19,720 So, in some territories, he played a recording of a tin whistle. 155 00:10:19,720 --> 00:10:22,960 RECORDING OF TUNELESS TIN WHISTLE PLAYS 156 00:10:22,960 --> 00:10:24,520 He could have chosen anything, 157 00:10:24,520 --> 00:10:28,080 as long as it sounded nothing like a great tit. 158 00:10:28,080 --> 00:10:30,200 And then I watched to see what happened, 159 00:10:30,200 --> 00:10:32,320 and new birds came into the wood, 160 00:10:32,320 --> 00:10:34,560 because this is a prime breeding area, 161 00:10:34,560 --> 00:10:36,600 so birds love to come here to breed. 162 00:10:38,000 --> 00:10:40,040 IT CHIRPS 163 00:10:40,040 --> 00:10:43,440 John discovered that the first territories that were taken 164 00:10:43,440 --> 00:10:45,600 were the silent territories, 165 00:10:45,600 --> 00:10:47,840 and the ones with the tin whistle. 166 00:10:47,840 --> 00:10:49,600 TIN WHISTLE RECORDING CONTINUES 167 00:10:49,600 --> 00:10:53,240 Crucially, the territories in which the great tit song was played 168 00:10:53,240 --> 00:10:57,120 remained empty of new great tits. 169 00:10:57,120 --> 00:11:00,120 By looking at the detail of that pattern of settling, 170 00:11:00,120 --> 00:11:03,320 I was able to show experimentally 171 00:11:03,320 --> 00:11:06,400 that song is an effective "keep out" signal. 172 00:11:07,960 --> 00:11:11,440 THEY SING 173 00:11:11,440 --> 00:11:14,640 Professor Krebs' predictions were exactly right. 174 00:11:14,640 --> 00:11:19,600 Song was a "keep out" signal to other great tits. 175 00:11:22,520 --> 00:11:26,080 For the very first time, there was scientific evidence 176 00:11:26,080 --> 00:11:31,320 that song was being used to intimidate rivals, 177 00:11:31,320 --> 00:11:35,680 just as I had seen with the indris in Madagascar in the '60s. 178 00:11:37,840 --> 00:11:40,960 How astonishing that it was only in 1975 179 00:11:40,960 --> 00:11:44,040 that this was proved for the first time. 180 00:11:45,360 --> 00:11:48,440 The song of the great tit had made history. 181 00:11:51,680 --> 00:11:54,000 LILTING CHIRPS 182 00:11:54,000 --> 00:11:57,040 BIRDSONG 183 00:12:03,600 --> 00:12:05,840 Open a window in spring, 184 00:12:05,840 --> 00:12:08,760 and these are the singers that serenade us. 185 00:12:08,760 --> 00:12:11,240 CUCKOO! CUCKOO! 186 00:12:11,240 --> 00:12:12,600 Songbirds. 187 00:12:14,720 --> 00:12:16,320 They make up about half 188 00:12:16,320 --> 00:12:19,080 of the 10,000 species of birds in the world. 189 00:12:21,120 --> 00:12:24,680 Five of my sevens songs are sung by them. 190 00:12:27,960 --> 00:12:32,960 Birds have the most advanced vocal organs in the entire natural world. 191 00:12:32,960 --> 00:12:34,480 DEEPENING CHIRPS 192 00:12:34,480 --> 00:12:38,480 We have our voice box at the top of our windpipe, 193 00:12:38,480 --> 00:12:41,920 but their equivalent is at the base of theirs - 194 00:12:41,920 --> 00:12:44,640 it's an organ called a syrinx. 195 00:12:44,640 --> 00:12:48,200 They're the only creatures on Earth to have one of these, 196 00:12:48,200 --> 00:12:50,160 and the syrinx of the songbird 197 00:12:50,160 --> 00:12:52,560 is the most complex of them all. 198 00:12:52,560 --> 00:12:53,640 BIRD SINGS 199 00:12:53,640 --> 00:12:55,360 As breath passes through it, 200 00:12:55,360 --> 00:12:57,480 muscles contract and vibrate, 201 00:12:57,480 --> 00:13:00,080 creating the sounds we call song. 202 00:13:00,080 --> 00:13:01,680 It can produce different notes 203 00:13:01,680 --> 00:13:04,440 from the left and right sides simultaneously. 204 00:13:04,440 --> 00:13:06,200 COMPLEX BIRDSONG 205 00:13:06,200 --> 00:13:11,040 It's like having two voice boxes that can operate at the same time. 206 00:13:11,040 --> 00:13:12,760 CHATTERING SONG 207 00:13:12,760 --> 00:13:15,360 So this is how songbirds can perform 208 00:13:15,360 --> 00:13:19,520 such unparalleled feats of vocal gymnastics. 209 00:13:19,520 --> 00:13:23,280 But working out WHY they do is far more complex. 210 00:13:23,280 --> 00:13:27,360 REPEATING RASPING CHIRPS 211 00:13:27,360 --> 00:13:29,320 REPEATING BUZZING CALL 212 00:13:29,320 --> 00:13:35,080 Each note lasts just a tiny moment and then disappears. 213 00:13:35,080 --> 00:13:38,560 HIGH, BUBBLING CALL 214 00:13:38,560 --> 00:13:43,160 That presents anyone who wants to study it with a problem. 215 00:13:43,160 --> 00:13:45,280 HIGH, RAPID SONG 216 00:13:45,280 --> 00:13:48,240 But there are two relatively recent inventions 217 00:13:48,240 --> 00:13:50,880 that have helped us to capture songs. 218 00:13:50,880 --> 00:13:52,720 CHATTERING CALL 219 00:13:52,720 --> 00:13:57,600 It was with a gun mic like this, inside its windshield, 220 00:13:57,600 --> 00:14:03,800 that John Krebs caught the fleeting sound of the great tit. 221 00:14:03,800 --> 00:14:07,800 But it was the ability to take that recorded sound 222 00:14:07,800 --> 00:14:11,360 and then turn it into a visual picture 223 00:14:11,360 --> 00:14:14,480 that enabled us to analyse that sound 224 00:14:14,480 --> 00:14:16,880 and reveal its full complexity. 225 00:14:18,520 --> 00:14:19,680 LILTING GREAT TIT SONG 226 00:14:19,680 --> 00:14:23,040 This is an animation of the male great tit song, 227 00:14:23,040 --> 00:14:26,320 generated by a machine called a spectrograph. 228 00:14:28,520 --> 00:14:32,160 It changes the song into an image that's possible to read. 229 00:14:32,160 --> 00:14:33,640 DEEP CHIRPS 230 00:14:33,640 --> 00:14:37,920 Slowed down, we can see that the great tit song is relatively simple. 231 00:14:37,920 --> 00:14:39,600 CHIRPS CONTINUE 232 00:14:39,600 --> 00:14:44,280 It's composed of two notes - one high and one low - repeated. 233 00:14:45,480 --> 00:14:47,520 REPEATED HIGH CHIRPS 234 00:14:47,520 --> 00:14:49,160 What we hear is very similar 235 00:14:49,160 --> 00:14:51,240 to what we can see on the spectrograph. 236 00:14:51,240 --> 00:14:52,840 CHIRPS CONTINUES 237 00:14:52,840 --> 00:14:55,400 But compare that to the song of the male wren. 238 00:14:55,400 --> 00:14:58,880 HIGH, RAPID, COMPLEX SONG 239 00:15:00,000 --> 00:15:04,080 What we hear is not what the bird hears. 240 00:15:04,080 --> 00:15:08,080 Birds live on a different timescale, 241 00:15:08,080 --> 00:15:11,240 at a different pace from us. 242 00:15:11,240 --> 00:15:15,240 And they can hear details in their song 243 00:15:15,240 --> 00:15:19,440 that are impossible for us to hear. 244 00:15:21,200 --> 00:15:25,400 It's only when we use a spectrogram that these details are revealed 245 00:15:27,760 --> 00:15:29,000 A trill... 246 00:15:30,280 --> 00:15:32,880 ..a connecting note... 247 00:15:32,880 --> 00:15:34,960 ..another trill... 248 00:15:34,960 --> 00:15:37,720 ..and then a rapid burst of trills at the end. 249 00:15:37,720 --> 00:15:39,360 RAPID TRILLS 250 00:15:39,360 --> 00:15:42,320 Now we can see that there are perhaps 100 notes 251 00:15:42,320 --> 00:15:46,240 or more in a song that may last only a few seconds. 252 00:15:46,240 --> 00:15:48,800 RAPID TRILLS 253 00:15:48,800 --> 00:15:52,360 SLOWED, UNDULATING BIRDSONG 254 00:15:53,280 --> 00:15:54,840 RAPID TRILLS 255 00:16:01,960 --> 00:16:08,000 What the spectrograms show are these songs are far more complicated 256 00:16:08,000 --> 00:16:12,360 and complex than we could possibly have imagined. 257 00:16:12,360 --> 00:16:15,800 But why complicate things so? 258 00:16:15,800 --> 00:16:18,840 The calls of the indri and the great tit 259 00:16:18,840 --> 00:16:20,680 worked perfectly well. 260 00:16:21,920 --> 00:16:24,480 The answer, of course, is sex. 261 00:16:32,920 --> 00:16:38,240 That is the reason why so many birds have such complex mating songs. 262 00:16:38,240 --> 00:16:42,720 CHIRPS AND CHIRRUPS 263 00:16:42,720 --> 00:16:45,840 Females seem to prefer them. 264 00:16:45,840 --> 00:16:48,560 The more intricate and detailed the song is, 265 00:16:48,560 --> 00:16:50,920 the better the male's chances. 266 00:16:55,360 --> 00:16:58,560 And my third song helps to explain why. 267 00:17:01,560 --> 00:17:04,080 RHYTHMIC BIRDSONG 268 00:17:07,320 --> 00:17:12,120 It's a recording of a nightingale that is my next chosen song. 269 00:17:12,120 --> 00:17:15,400 NIGHTINGALE SINGS 270 00:17:15,400 --> 00:17:18,840 This is a male singing for a mate. 271 00:17:20,360 --> 00:17:25,160 Just as with the great tit, the females do not sing. 272 00:17:25,160 --> 00:17:28,920 But they are the ones the males are singing for. 273 00:17:28,920 --> 00:17:31,920 So why do they prefer more complex songs? 274 00:17:38,680 --> 00:17:42,760 It's a question that has puzzled scientists for centuries. 275 00:17:45,120 --> 00:17:48,320 Charles Darwin's answer was that the females 276 00:17:48,320 --> 00:17:50,920 have an aesthetic sense. 277 00:17:50,920 --> 00:17:54,040 After all, human beings appreciate beauty. 278 00:17:54,040 --> 00:17:56,800 Why shouldn't other animals do so too? 279 00:17:59,000 --> 00:18:02,560 But the question Darwin didn't answer was 280 00:18:02,560 --> 00:18:06,080 WHY should the females have an aesthetic sense? 281 00:18:08,320 --> 00:18:12,640 Here on the streets of Berlin, we might just find the answer. 282 00:18:15,800 --> 00:18:21,440 Spring attracts over 2,000 nightingales to this city each year. 283 00:18:21,440 --> 00:18:25,400 They flock to Berlin because it's filled with green space, 284 00:18:25,400 --> 00:18:28,640 much of which has been left untamed. 285 00:18:28,640 --> 00:18:32,080 And it's these wild places that they love. 286 00:18:35,960 --> 00:18:40,840 In one of its most popular parks, a male nightingale. 287 00:18:43,880 --> 00:18:48,080 He, like the other males, arrived from Africa a few weeks ago 288 00:18:48,080 --> 00:18:52,080 and has spent his time singing to defend a breeding patch. 289 00:18:54,080 --> 00:18:59,360 But tonight, when the lights go out, he will change his tune 290 00:18:59,360 --> 00:19:02,200 because the females have arrived. 291 00:19:02,200 --> 00:19:05,880 RAPID CHIRPS 292 00:19:07,240 --> 00:19:11,960 Nightingales migrate at night, and when the females fly in, 293 00:19:11,960 --> 00:19:16,240 under cover of dark, they are met with songs of seduction. 294 00:19:16,240 --> 00:19:21,320 COMPLEX TWEETS, TRILLS AND CHIRPS 295 00:19:26,560 --> 00:19:32,000 Dr Conny Landgraf made our recording of the nightingale's song. 296 00:19:37,280 --> 00:19:41,080 So right now, there's one... Oh, no there is a second male. 297 00:19:41,080 --> 00:19:44,800 So it's already two males in a vocal contest. 298 00:19:46,800 --> 00:19:51,640 What the females do is that they do not take the first male that comes 299 00:19:51,640 --> 00:19:56,920 their way, but they prospect and inspect different male territories. 300 00:19:56,920 --> 00:19:59,440 And this is like a speed dating that is actually 301 00:19:59,440 --> 00:20:01,480 going on in the middle of the night. 302 00:20:01,480 --> 00:20:04,080 OVERLAPPING BIRDSONGS 303 00:20:04,080 --> 00:20:08,760 Each male sings his heart out and the females listen. 304 00:20:09,760 --> 00:20:10,840 DING 305 00:20:10,840 --> 00:20:12,040 Time's up! 306 00:20:12,040 --> 00:20:14,880 What does the next potential mate sound like? 307 00:20:14,880 --> 00:20:17,280 DING 308 00:20:14,880 --> 00:20:17,280 Time's up again. 309 00:20:17,280 --> 00:20:19,680 Does the next one have a better song? 310 00:20:19,680 --> 00:20:21,160 QUICKFIRE CHIRPS 311 00:20:21,160 --> 00:20:22,400 DING 312 00:20:25,680 --> 00:20:32,880 Nightingales have extremely large song repertoires, up to 250 songs. 313 00:20:32,880 --> 00:20:38,120 And also they are able to produce really challenging 314 00:20:38,120 --> 00:20:43,480 syllables and phrases, thinking of trill or bass elements. 315 00:20:43,480 --> 00:20:47,200 So these are very fast, repeated single notes. 316 00:20:47,200 --> 00:20:48,960 So this is remarkable. 317 00:20:50,280 --> 00:20:53,320 The more complex his song, 318 00:20:53,320 --> 00:20:56,240 the more beautiful it seems to the female. 319 00:20:57,280 --> 00:21:00,640 But why? Does the female have an aesthetic sense, 320 00:21:00,640 --> 00:21:03,400 as Darwin suggested? 321 00:21:03,400 --> 00:21:07,800 Conny and her team set up an experiment to find out. 322 00:21:07,800 --> 00:21:12,640 First, they recorded males singing at the beginning of spring. 323 00:21:13,640 --> 00:21:17,440 Then they set up cameras to record nightingale nests 324 00:21:17,440 --> 00:21:19,160 later in the season. 325 00:21:21,400 --> 00:21:25,680 Male nightingales play a crucial role in feeding chicks. 326 00:21:31,640 --> 00:21:35,120 What we found in the end was that there was indeed 327 00:21:35,120 --> 00:21:38,160 a very strong correlation between his song 328 00:21:38,160 --> 00:21:40,600 and feeding rates at the nest. 329 00:21:40,600 --> 00:21:44,600 So it's like a promise that the males give to the females 330 00:21:44,600 --> 00:21:46,000 to be good fathers. 331 00:21:48,800 --> 00:21:51,600 So, for example, a male could be saying, 332 00:21:51,600 --> 00:21:54,640 "Hey, there, I'm a healthy, strong man, 333 00:21:54,640 --> 00:21:59,000 "I know this area and all the best feeding places very well, 334 00:21:59,000 --> 00:22:01,920 "so come settle down and mate with me." 335 00:22:06,200 --> 00:22:10,280 Females, Darwin said, chose the males with the most beautiful 336 00:22:10,280 --> 00:22:15,240 songs, and my third recording has demonstrated why. 337 00:22:15,240 --> 00:22:17,520 Better singers are better fathers. 338 00:22:19,240 --> 00:22:22,840 Songs can be a promise of devoted parenthood. 339 00:22:36,320 --> 00:22:39,640 There are some songs that it's impossible for me 340 00:22:39,640 --> 00:22:42,720 to imagine life without. 341 00:22:42,720 --> 00:22:44,680 ROBIN SINGS 342 00:22:44,680 --> 00:22:47,560 Songs that accompany our daily lives. 343 00:22:49,480 --> 00:22:52,600 It's one of the most characteristic sounds, and to my ear 344 00:22:52,600 --> 00:22:55,840 is one of the most delightful of the English winter - 345 00:22:55,840 --> 00:22:57,920 the song of the robin. 346 00:23:02,120 --> 00:23:04,320 These are the songs that Charles Darwin 347 00:23:04,320 --> 00:23:05,920 would have listened to as a boy. 348 00:23:07,000 --> 00:23:11,840 And much of our research into song has centred on British species. 349 00:23:13,800 --> 00:23:17,560 Indeed, for much of the last century, we thought birdsong 350 00:23:17,560 --> 00:23:20,280 originated here in northern latitudes. 351 00:23:23,040 --> 00:23:27,720 But what if Darwin had been raised on the other side of the world? 352 00:23:27,720 --> 00:23:30,520 Would his theories about song have been different? 353 00:23:32,560 --> 00:23:35,880 CACOPHONY OF ANIMAL CALLS 354 00:23:35,880 --> 00:23:38,280 The forests of Australia. 355 00:23:45,120 --> 00:23:48,640 Out here, scientists are in the process of changing 356 00:23:48,640 --> 00:23:51,320 many of our old ideas about song. 357 00:23:52,840 --> 00:23:55,320 HOOTING CRY 358 00:23:56,480 --> 00:24:00,840 They found fossil and DNA evidence of early songbirds, 359 00:24:00,840 --> 00:24:04,160 which show that this, in fact, is where song began. 360 00:24:09,080 --> 00:24:12,240 It was here in Australia that the ancestors 361 00:24:12,240 --> 00:24:15,160 of all songbirds first evolved. 362 00:24:23,640 --> 00:24:27,840 Song number four is from one of the original songbirds' 363 00:24:27,840 --> 00:24:29,880 most remarkable descendants. 364 00:24:31,480 --> 00:24:35,240 And it's one that amazes me every time I hear it. 365 00:24:35,240 --> 00:24:40,160 QUIZZICAL WHISTLES 366 00:24:41,760 --> 00:24:46,000 It was recorded in the forests just outside Melbourne, 367 00:24:46,000 --> 00:24:49,320 and it was the first time that wild birdsong had ever 368 00:24:49,320 --> 00:24:51,360 been broadcast in Australia. 369 00:24:52,680 --> 00:24:54,200 BIRD CALLS 370 00:24:58,000 --> 00:25:02,520 The song of the lyrebird, in my view, is one of the most complex 371 00:25:02,520 --> 00:25:06,920 and beautiful in the whole of the natural world. 372 00:25:06,920 --> 00:25:09,560 And what gives it its complexity 373 00:25:09,560 --> 00:25:12,520 is the talent that a lyrebird has 374 00:25:12,520 --> 00:25:13,760 for mimicry. 375 00:25:15,920 --> 00:25:17,440 ON RECORD: Crimson parrot. 376 00:25:17,440 --> 00:25:19,480 BIRD CALLS 377 00:25:21,880 --> 00:25:23,880 The kookaburra. 378 00:25:23,880 --> 00:25:25,400 BIRD CALLS 379 00:25:27,480 --> 00:25:30,720 The descendants of that lyrebird, I'm happy to say, 380 00:25:30,720 --> 00:25:33,520 are still singing in those forests, 381 00:25:33,520 --> 00:25:36,320 and I've been lucky enough to listen 382 00:25:36,320 --> 00:25:37,920 to one of them myself. 383 00:25:39,360 --> 00:25:45,400 It was the 1990s when the BBC series Life Of Birds took me to Australia. 384 00:25:48,440 --> 00:25:53,040 I wanted to film a lyrebird who was the most astounding mimic. 385 00:25:56,720 --> 00:26:00,640 To persuade females to come close and admire his plumes, he sings 386 00:26:00,640 --> 00:26:03,000 the most complex song he can manage, 387 00:26:03,000 --> 00:26:06,520 and he does that by copying the songs of all the other birds 388 00:26:06,520 --> 00:26:07,840 he hears around him, 389 00:26:07,840 --> 00:26:09,520 such as the kookaburra. 390 00:26:11,400 --> 00:26:13,120 KOOKABURRA CALL 391 00:26:14,280 --> 00:26:18,440 He can imitate the calls of at least 20 different species. 392 00:26:21,840 --> 00:26:25,960 He also, in his attempt to out-sing his rivals, incorporates other 393 00:26:25,960 --> 00:26:28,840 sounds that he hears in the forest. 394 00:26:28,840 --> 00:26:30,240 CLICKING 395 00:26:30,240 --> 00:26:32,040 That was a camera shutter. 396 00:26:38,080 --> 00:26:39,600 And again. 397 00:26:43,080 --> 00:26:45,400 And now a camera with a motor drive. 398 00:26:46,920 --> 00:26:48,760 CLICK AND WHIR 399 00:26:48,760 --> 00:26:50,840 ALARM BLARES 400 00:26:52,760 --> 00:26:54,480 And that's a car alarm. 401 00:27:03,360 --> 00:27:08,160 And now the sounds of foresters and their chainsaws working nearby. 402 00:27:08,160 --> 00:27:10,240 BUZZING 403 00:27:13,440 --> 00:27:15,120 SAWING 404 00:27:16,520 --> 00:27:20,240 Since this remarkable clip was broadcast, millions of people 405 00:27:20,240 --> 00:27:21,960 have watched it online. 406 00:27:23,960 --> 00:27:27,880 Scientists have discovered a lot more about lyrebird song 407 00:27:27,880 --> 00:27:30,040 since that recording was made. 408 00:27:30,040 --> 00:27:34,600 That particular bird was accustomed to the presence of human beings 409 00:27:34,600 --> 00:27:39,160 nearby, but much wilder birds produce something 410 00:27:39,160 --> 00:27:40,840 even more fascinating. 411 00:27:43,040 --> 00:27:46,200 Sunrise, Sherbrooke Forest, today. 412 00:27:48,640 --> 00:27:50,680 One voice in the dawn chorus 413 00:27:50,680 --> 00:27:54,640 is louder than any other - the male lyrebird. 414 00:27:58,240 --> 00:28:00,200 BIRD CALLS 415 00:28:02,840 --> 00:28:07,440 It's the breeding season and they're busy trying to attract mates. 416 00:28:13,960 --> 00:28:17,240 Clearing undergrowth from the forest floor creates 417 00:28:17,240 --> 00:28:19,600 an arena for his mating display. 418 00:28:27,560 --> 00:28:30,600 Once the stage is set, the show can begin. 419 00:28:32,720 --> 00:28:35,840 CALLING 420 00:28:35,840 --> 00:28:38,600 It's unlike any other in the natural world. 421 00:28:42,040 --> 00:28:43,720 Since I heard this song, 422 00:28:43,720 --> 00:28:47,560 scientists have analysed it and broken it down into parts. 423 00:28:51,720 --> 00:28:54,400 Song A comes first. 424 00:28:54,400 --> 00:28:56,480 CLICKS AND WHISTLES 425 00:28:59,960 --> 00:29:05,960 Now song B, a loud low shriek, which alternates with song C, 426 00:29:05,960 --> 00:29:08,400 a quiet, very soft clicking sound. 427 00:29:16,400 --> 00:29:18,600 A female arrives. 428 00:29:20,480 --> 00:29:21,960 But no, she loses interest. 429 00:29:25,720 --> 00:29:29,600 What he does next will need to be even more impressive. 430 00:29:40,160 --> 00:29:44,040 Few have analysed the grand finale of the male lyrebird song 431 00:29:44,040 --> 00:29:48,680 more intensively than Dr Anastasia Dalziell. 432 00:29:48,680 --> 00:29:53,000 She and her team were the first ones to film it properly. 433 00:29:54,400 --> 00:29:57,800 We thought no-one's going to believe us until we've actually filmed it. 434 00:29:57,800 --> 00:30:02,200 It's really not like anything else that has been described previously 435 00:30:02,200 --> 00:30:04,400 in birds or any other animals. 436 00:30:08,360 --> 00:30:11,600 It was by studying the recordings from their remote camera 437 00:30:11,600 --> 00:30:14,640 that the team were able to understand the real secret 438 00:30:14,640 --> 00:30:16,800 of the male lyrebird song. 439 00:30:18,280 --> 00:30:22,360 And it's this footage together with our own that enables us to show 440 00:30:22,360 --> 00:30:26,280 this remarkable behaviour on television for the first time. 441 00:30:28,280 --> 00:30:32,640 Having sung A, B and C and been rejected, the male now 442 00:30:32,640 --> 00:30:33,840 begins Song D. 443 00:30:35,040 --> 00:30:36,880 So this final song, 444 00:30:36,880 --> 00:30:41,800 it's the sound of a flock of small birds mobbing, 445 00:30:41,800 --> 00:30:46,200 reacting to a stationary or a hidden predator like a snake. 446 00:30:46,200 --> 00:30:48,760 And this was totally bizarre. 447 00:30:48,760 --> 00:30:51,920 So why is he imitating a flock of birds? 448 00:30:53,600 --> 00:30:55,800 Well, a predator means danger. 449 00:30:55,800 --> 00:30:59,640 So at the sound of an alarm call, the female freezes. 450 00:31:04,400 --> 00:31:07,120 The forest is no longer a safe place. 451 00:31:10,800 --> 00:31:14,640 Now the male takes advantage of her panic. 452 00:31:14,640 --> 00:31:16,880 He jumps on top of her to mate. 453 00:31:19,560 --> 00:31:22,320 It's hard for us to see her under his feathers, 454 00:31:22,320 --> 00:31:25,480 and it's hard for her to see out from under them. 455 00:31:26,880 --> 00:31:31,360 He's doing everything he can to disorientate and confuse her. 456 00:31:36,160 --> 00:31:38,920 The male is actually telling her a big fib - 457 00:31:38,920 --> 00:31:41,720 don't leave me because out there, there's a hidden predator 458 00:31:41,720 --> 00:31:43,280 that you haven't seen. 459 00:31:43,280 --> 00:31:45,880 To put it another way, it's like saying, 460 00:31:45,880 --> 00:31:47,840 "Baby, it's dangerous outside. 461 00:31:47,840 --> 00:31:51,320 "Come back here with me where it's nice and safe." 462 00:31:54,880 --> 00:31:59,120 The lyrebird is, in fact, a bird that tells lies. 463 00:32:00,880 --> 00:32:03,360 His song is an acoustic illusion. 464 00:32:05,480 --> 00:32:07,400 Up to now, scientists have thought 465 00:32:07,400 --> 00:32:10,280 that song was an honest signal from the male. 466 00:32:11,280 --> 00:32:16,800 But it seems song can also be manipulative and false. 467 00:32:26,880 --> 00:32:30,800 Not far away, in the Blue Mountains near Sydney, 468 00:32:30,800 --> 00:32:34,960 scientist Victoria Austin is studying the female lyrebird. 469 00:32:38,880 --> 00:32:40,520 What she's listening for 470 00:32:40,520 --> 00:32:43,240 is something very few people have heard. 471 00:32:44,360 --> 00:32:47,320 So what I'm doing now is just preparing my recorder 472 00:32:47,320 --> 00:32:51,520 because we're about to head to a nest and we're hoping to be able 473 00:32:51,520 --> 00:32:54,480 to record the female lyrebird that resides in that area. 474 00:32:57,080 --> 00:33:01,080 The female lyrebird is the opposite of her flashy mate. 475 00:33:01,080 --> 00:33:02,520 She's secretive. 476 00:33:04,920 --> 00:33:08,880 When she is seen, she's often mistaken for a juvenile male. 477 00:33:11,120 --> 00:33:14,640 To most people, she's invisible, 478 00:33:14,640 --> 00:33:17,000 but Victoria knows how to find her. 479 00:33:19,600 --> 00:33:23,720 This old nest suggests that she may be nearby. 480 00:33:24,760 --> 00:33:26,280 And there she is. 481 00:33:27,680 --> 00:33:31,760 This rarely heard sound is her whistle song. 482 00:33:31,760 --> 00:33:33,680 CALLING 483 00:33:37,400 --> 00:33:39,920 In Darwin's theory of sexual selection, 484 00:33:39,920 --> 00:33:45,000 males sing to attract females, and females drive the evolution 485 00:33:45,000 --> 00:33:48,240 of song by preferring ever more complex songs. 486 00:33:50,120 --> 00:33:53,560 The females themselves do not sing. 487 00:33:53,560 --> 00:33:57,640 Yet here we are listening to a female lyrebird singing. 488 00:34:00,200 --> 00:34:02,920 So what is the function of her song? 489 00:34:06,280 --> 00:34:09,320 Well, the female raises her chicks alone. 490 00:34:12,320 --> 00:34:17,080 The male plays no part, so it's extremely important 491 00:34:17,080 --> 00:34:20,560 for her to maintain her territory and the food within it. 492 00:34:21,960 --> 00:34:26,440 She uses song to let everyone know that it's her patch. 493 00:34:26,440 --> 00:34:28,240 CALLING 494 00:34:31,440 --> 00:34:33,960 And Victoria is also researching 495 00:34:33,960 --> 00:34:36,560 whether song helps her in other ways. 496 00:34:37,960 --> 00:34:41,120 In the last few years, she's been recording their songs 497 00:34:41,120 --> 00:34:43,040 across the Blue Mountains. 498 00:34:47,600 --> 00:34:52,160 This is one of them - a female mimicking a goshawk. 499 00:34:52,160 --> 00:34:54,040 BIRDSONG 500 00:34:58,880 --> 00:35:00,240 It's very accurate. 501 00:35:00,240 --> 00:35:03,280 If you were to play this call alongside an actual goshawk, 502 00:35:03,280 --> 00:35:05,760 it'd be very difficult to tell the difference, if you were able 503 00:35:05,760 --> 00:35:08,280 to tell the difference at all. 504 00:35:08,280 --> 00:35:11,960 So what is the purpose of this perfect impersonation? 505 00:35:14,120 --> 00:35:18,440 She's using it to deceive predators into thinking she's more dangerous 506 00:35:18,440 --> 00:35:20,080 than she actually is. 507 00:35:25,440 --> 00:35:28,920 She is just as talented as the more famous male. 508 00:35:32,080 --> 00:35:35,280 So the biggest purpose of what we're doing working 509 00:35:35,280 --> 00:35:40,640 with these female lyrebirds is to dispel this long-held myth that only 510 00:35:40,640 --> 00:35:42,560 recently was shown not to be true, 511 00:35:42,560 --> 00:35:45,680 and that is the idea that female birds don't sing, 512 00:35:45,680 --> 00:35:47,200 or that it's very rare. 513 00:35:47,200 --> 00:35:49,440 And that's just simply not the case. 514 00:35:52,560 --> 00:35:57,160 This surely challenges Darwin's theory, 515 00:35:57,160 --> 00:36:00,320 as does my next revolutionary song. 516 00:36:08,640 --> 00:36:11,960 My fifth song was also recorded in Australia. 517 00:36:13,880 --> 00:36:18,800 It, too, like the song of the female lyrebird, has rarely been heard. 518 00:36:21,440 --> 00:36:26,080 It's important because its existence changes our idea 519 00:36:26,080 --> 00:36:27,920 of what song actually is. 520 00:36:29,680 --> 00:36:31,560 BIRDSONG 521 00:36:33,640 --> 00:36:38,040 This is a fairly common Australian bird called a fairy wren. 522 00:36:42,440 --> 00:36:46,680 We filmed these birds for a BBC series back in the 1990s. 523 00:36:51,040 --> 00:36:55,920 We went there to film it because it's extremely promiscuous. 524 00:36:55,920 --> 00:37:00,360 Both male and female will mate with many different partners. 525 00:37:01,440 --> 00:37:05,960 But what few people realised at the time, and I certainly didn't, 526 00:37:05,960 --> 00:37:09,680 was that it's not just the male that sings. 527 00:37:12,240 --> 00:37:13,920 The female does, too. 528 00:37:20,240 --> 00:37:23,680 This is Canberra Botanical Gardens. 529 00:37:25,400 --> 00:37:28,520 Professor Naomi Langmore was the scientist 530 00:37:28,520 --> 00:37:31,000 who made our fairy wren recording. 531 00:37:32,040 --> 00:37:36,720 She was one of the first to realise the significance of female song. 532 00:37:40,560 --> 00:37:44,680 The male fairy wren, with glorious, iridescent blue and striking 533 00:37:44,680 --> 00:37:47,480 black plumage is rather difficult to miss. 534 00:37:50,960 --> 00:37:52,640 So where is the female? 535 00:37:53,680 --> 00:37:57,120 Well, not at the top of a perch like the male, 536 00:37:57,120 --> 00:37:59,920 but instead here, hiding in the bushes. 537 00:38:02,240 --> 00:38:06,560 She is comparatively rather dull - a drab brown. 538 00:38:07,760 --> 00:38:11,960 Because females are often less flashy and eye-catching than males, 539 00:38:11,960 --> 00:38:14,760 it's very easy to miss female song. 540 00:38:14,760 --> 00:38:17,360 BIRDSONG 541 00:38:17,360 --> 00:38:19,200 But sing she does. 542 00:38:22,440 --> 00:38:25,880 Just as male song is used in competition with other males, 543 00:38:25,880 --> 00:38:30,040 female song seems to be in competition with other females. 544 00:38:31,440 --> 00:38:34,640 But why didn't we hear her before now? 545 00:38:34,640 --> 00:38:39,080 Is it really just because she's less noticeable than the male? 546 00:38:39,080 --> 00:38:41,080 In the history of the study of birdsong, 547 00:38:41,080 --> 00:38:44,400 most research was done in the northern hemisphere, in Europe 548 00:38:44,400 --> 00:38:46,920 and North America, and in those regions, 549 00:38:46,920 --> 00:38:49,160 female song is comparatively rare. 550 00:38:49,160 --> 00:38:52,560 And so researchers working in those regions generalised 551 00:38:52,560 --> 00:38:55,800 from what they were observing in their local birds and assumed 552 00:38:55,800 --> 00:38:59,440 that male song was the norm throughout the world. 553 00:38:59,440 --> 00:39:02,200 A male-biased view of birdsong had, 554 00:39:02,200 --> 00:39:05,240 to an extent, deafened us to female song. 555 00:39:06,600 --> 00:39:09,840 So when I was doing my research, it was basically assumed 556 00:39:09,840 --> 00:39:13,520 that it's the male that sings and the female doesn't. 557 00:39:13,520 --> 00:39:16,040 Maybe that's because most of the scientists were males 558 00:39:16,040 --> 00:39:17,480 who were studying birdsong. 559 00:39:17,480 --> 00:39:20,840 But now there's a new generation of female scientists coming through 560 00:39:20,840 --> 00:39:24,440 studying birdsong all around the world 561 00:39:24,440 --> 00:39:27,920 and discovering that actually female song is very common 562 00:39:27,920 --> 00:39:30,120 and occurs in more species than not. 563 00:39:31,280 --> 00:39:34,320 And it's only now that they're properly being heard. 564 00:39:35,920 --> 00:39:39,920 Naomi and her colleagues have discovered that in 64% 565 00:39:39,920 --> 00:39:44,000 of all songbird species, females sing. 566 00:39:45,040 --> 00:39:47,120 And that, in the distant past, 567 00:39:47,120 --> 00:39:49,360 the ancestors of all songbirds 568 00:39:49,360 --> 00:39:52,920 would have had both male and female singers. 569 00:39:57,480 --> 00:40:02,040 When birdsong began, perhaps all female birds sang. 570 00:40:05,440 --> 00:40:08,400 So why don't all female birds sing today? 571 00:40:10,240 --> 00:40:12,040 The answer is migration. 572 00:40:13,960 --> 00:40:18,200 Male migrants like the nightingale arrive in their breeding grounds 573 00:40:18,200 --> 00:40:22,560 before the female. They set up and defend the breeding 574 00:40:22,560 --> 00:40:25,880 territories, so the females don't need to sing. 575 00:40:28,400 --> 00:40:32,240 In species that don't migrate, like the lyrebird and fairy wren, 576 00:40:32,240 --> 00:40:35,200 then often the females will have their own territory. 577 00:40:39,320 --> 00:40:41,240 And they will sing to defend it. 578 00:40:44,800 --> 00:40:48,880 This female song challenges the way scientists have thought about 579 00:40:48,880 --> 00:40:51,920 sexual selection for the last hundred years. 580 00:40:53,000 --> 00:40:55,320 This recent discovery is a paradigm shift. 581 00:40:55,320 --> 00:40:57,200 It's extremely exciting, 582 00:40:57,200 --> 00:40:59,280 and it really forces us again 583 00:40:59,280 --> 00:41:03,000 to reconsider what we think of as birdsong. 584 00:41:04,960 --> 00:41:08,560 Birdsong was fundamental to the formulation of Darwin's theory 585 00:41:08,560 --> 00:41:10,040 of sexual selection, 586 00:41:10,040 --> 00:41:12,880 and the discovery that females sing as well 587 00:41:12,880 --> 00:41:15,040 makes us challenge that theory. 588 00:41:16,760 --> 00:41:20,560 Because our perception of birdsong has been biased 589 00:41:20,560 --> 00:41:22,880 towards the northern hemisphere, 590 00:41:22,880 --> 00:41:27,480 we have been unaware of some of the most thrilling bird songs 591 00:41:27,480 --> 00:41:30,440 on the planet, but that view is changing. 592 00:41:34,760 --> 00:41:38,160 Our understanding of song is continually developing, 593 00:41:38,160 --> 00:41:40,800 and all the time we're learning new things. 594 00:41:40,800 --> 00:41:45,080 It's a mystery that needs real research to unravel it, 595 00:41:45,080 --> 00:41:47,000 and we're still learning. 596 00:41:49,120 --> 00:41:52,720 How exciting it is to think of the discoveries 597 00:41:52,720 --> 00:41:55,400 that are about to be made about birdsong. 598 00:42:06,000 --> 00:42:10,480 This next ground-breaking recording reminds us just how thrilling 599 00:42:10,480 --> 00:42:12,760 those new discoveries could be... 600 00:42:14,760 --> 00:42:19,280 ..because it revealed to us an entirely different world of song. 601 00:42:23,520 --> 00:42:29,120 Few animal songs are more beautiful than the ones that are recorded 602 00:42:29,120 --> 00:42:34,320 on this disc, and yet had it not been for recent technological 603 00:42:34,320 --> 00:42:38,720 advances, we would never have known that such songs existed. 604 00:42:42,000 --> 00:42:44,640 The waters off the coast of Bermuda. 605 00:42:45,720 --> 00:42:49,880 US Navy engineers are using underwater microphones called 606 00:42:49,880 --> 00:42:53,480 hydrophones to listen for enemy submarines. 607 00:42:54,880 --> 00:42:56,880 This is what they pick up. 608 00:42:57,960 --> 00:43:00,360 LOW GROWLING 609 00:43:02,480 --> 00:43:06,760 It's not a submarine or indeed any kind of man-made noise. 610 00:43:10,720 --> 00:43:14,840 I'll always remember the first time I heard those songs. 611 00:43:16,360 --> 00:43:19,680 It brought back to my mind the stories of sailors 612 00:43:19,680 --> 00:43:21,560 in the old sailing ship days 613 00:43:21,560 --> 00:43:23,280 out at sea in their bunks, 614 00:43:23,280 --> 00:43:27,480 hearing those wonderful, eerie sounds resonating through the ship. 615 00:43:29,080 --> 00:43:32,840 It didn't come, of course, from a mermaid, but something perhaps 616 00:43:32,840 --> 00:43:37,960 even more extraordinary - a gigantic creature weighing many tonnes. 617 00:43:37,960 --> 00:43:39,040 A whale. 618 00:43:40,640 --> 00:43:42,360 WHALE SONG 619 00:43:47,120 --> 00:43:52,000 Almost unbelievably, this was the first time that anyone had ever 620 00:43:52,000 --> 00:43:54,400 identified the sound of a whale. 621 00:43:56,520 --> 00:44:00,160 When biologist Dr Roger Payne heard it, he was thrilled. 622 00:44:01,960 --> 00:44:07,560 It was back in 1967 about that I met a fellow named Frank Watlington, 623 00:44:07,560 --> 00:44:09,240 who became a great friend, 624 00:44:09,240 --> 00:44:12,440 and he played a sound to me of humpback whales. 625 00:44:13,840 --> 00:44:15,760 WHALE SONG 626 00:44:15,760 --> 00:44:20,360 It was the most beautiful thing I had ever heard from nature. 627 00:44:29,080 --> 00:44:33,800 The first time I ever went swimming with a whale that was singing, 628 00:44:33,800 --> 00:44:38,360 it's such an incredible experience, it's completely shattering. 629 00:44:41,600 --> 00:44:45,440 It feels like, when you get close to one, that something 630 00:44:45,440 --> 00:44:48,200 has put its hands on your chest and is shaking you 631 00:44:48,200 --> 00:44:50,080 until your teeth rattle. 632 00:44:50,080 --> 00:44:53,560 My first thought was, I wonder if I can stand this, I wonder 633 00:44:53,560 --> 00:44:56,800 if this is actually going to kill me somehow. 634 00:45:01,120 --> 00:45:05,040 The question was, would we call these sounds songs? 635 00:45:07,920 --> 00:45:10,080 Some were short, like birdcalls, 636 00:45:10,080 --> 00:45:11,680 but others were longer, 637 00:45:11,680 --> 00:45:13,440 some up to half an hour. 638 00:45:19,920 --> 00:45:23,400 Speeded up, this is what they sounded like. 639 00:45:23,400 --> 00:45:25,640 HIGH-PITCHED SONG 640 00:45:28,960 --> 00:45:31,320 They sounded like birdsong. 641 00:45:34,240 --> 00:45:36,200 Roger called them songs. 642 00:45:43,920 --> 00:45:48,320 In the late 1970s, I too went swimming with humpback whales. 643 00:45:51,320 --> 00:45:55,800 I remember seeing this creature below me and then hearing its song. 644 00:45:55,800 --> 00:45:58,000 EERIE WHOOPING 645 00:46:01,080 --> 00:46:05,680 It was thought they sing for the same reason as birds - 646 00:46:05,680 --> 00:46:09,400 males singing to rivals and potential mates. 647 00:46:11,400 --> 00:46:14,480 But no-one has ever seen a female listening. 648 00:46:17,080 --> 00:46:20,520 In truth, no-one really knows why whales sing. 649 00:46:23,840 --> 00:46:28,640 But one thing is certain - the sound of their song saved them from us. 650 00:46:31,080 --> 00:46:36,120 In 1970, Roger released an album called Songs Of The Humpback Whale. 651 00:46:37,680 --> 00:46:40,840 At the time, we had been killing whales, 652 00:46:40,840 --> 00:46:42,880 mainly for their oil, for centuries. 653 00:46:47,400 --> 00:46:51,720 We were very close to exterminating them out of sheer greed. 654 00:46:53,480 --> 00:46:55,480 Then we heard their song. 655 00:47:00,000 --> 00:47:05,040 Whole bunches of people in several countries began making organisations 656 00:47:05,040 --> 00:47:09,440 to save the whales and the Save the Whales movement was born, 657 00:47:09,440 --> 00:47:12,200 and in many ways that was sort of the beginning 658 00:47:12,200 --> 00:47:14,320 of the conservation movement. 659 00:47:19,360 --> 00:47:23,440 The conscience of the world was woken by this song of the whale. 660 00:47:24,960 --> 00:47:27,760 We heard it just in time to save them. 661 00:47:27,760 --> 00:47:29,640 ECHOING SHRIEK 662 00:47:32,320 --> 00:47:35,120 But for my next and final singer, 663 00:47:35,120 --> 00:47:37,200 there was no such reprieve. 664 00:47:39,080 --> 00:47:40,600 BIRDSONG 665 00:47:46,000 --> 00:47:50,120 There are few songs more haunting than this. 666 00:47:56,120 --> 00:48:01,200 It's a male Hawaiian 'o'o bird calling for a mate. 667 00:48:04,160 --> 00:48:06,480 But is he singing into silence? 668 00:48:08,520 --> 00:48:09,720 Habitat destruction 669 00:48:09,720 --> 00:48:13,680 and the introduction of invasive species have decimated 670 00:48:13,680 --> 00:48:17,720 many Hawaiian songbirds, including the 'o'o. 671 00:48:19,320 --> 00:48:23,880 It may well be that by the time this recording was made, 672 00:48:23,880 --> 00:48:26,520 there were no females left alive. 673 00:48:27,800 --> 00:48:33,680 It's the sound of a male singing for a mate who no longer exists. 674 00:48:36,240 --> 00:48:39,840 The 'o'o has since been declared extinct. 675 00:48:43,320 --> 00:48:48,160 He was the last of an entire bird family found nowhere else on Earth. 676 00:48:48,160 --> 00:48:49,680 Now gone. 677 00:48:52,720 --> 00:48:58,520 There is no more dramatic reminder of this loss than this sound. 678 00:48:58,520 --> 00:49:00,560 BIRDSONG 679 00:49:13,320 --> 00:49:17,520 And how many more songs have we lost in other parts of the planet? 680 00:49:19,720 --> 00:49:23,880 Here in Britain, it's estimated that 38 million birds 681 00:49:23,880 --> 00:49:28,160 have disappeared from our skies in the last 60 years. 682 00:49:28,160 --> 00:49:30,520 One in five gone. 683 00:49:33,920 --> 00:49:37,040 Climate change, habitat deterioration 684 00:49:37,040 --> 00:49:40,640 and the resulting decrease in food and other resources 685 00:49:40,640 --> 00:49:42,880 are thought to be the main factors 686 00:49:42,880 --> 00:49:45,280 behind this catastrophic decline. 687 00:49:47,280 --> 00:49:50,720 It's now up to us to decide how many more songs 688 00:49:50,720 --> 00:49:51,800 we will allow 689 00:49:51,800 --> 00:49:53,360 to fade into silence. 690 00:50:03,360 --> 00:50:06,800 These songs enrich our lives, too. 691 00:50:06,800 --> 00:50:11,040 They're surely amongst the loveliest in the universe. 692 00:50:11,040 --> 00:50:16,760 And without them, our lives would truly be impoverished. 693 00:50:16,760 --> 00:50:21,520 And what is lost when the songs fall silent is more than just 694 00:50:21,520 --> 00:50:26,360 an enchanting operatic backdrop to our own lives, 695 00:50:26,360 --> 00:50:31,480 because for the creatures that sing them, songs are far more than that. 696 00:50:33,280 --> 00:50:35,080 They are a weapon of war... 697 00:50:36,240 --> 00:50:40,760 ..a serenade, a promise of parenthood, a daring deceit... 698 00:50:42,800 --> 00:50:45,800 ..or perhaps something even more astonishing 699 00:50:45,800 --> 00:50:47,840 that we are yet to discover. 700 00:50:49,600 --> 00:50:54,360 Each one a marvellous example of the spectacular survival strategies 701 00:50:54,360 --> 00:50:57,840 that animals have developed in order to stay alive. 702 00:50:57,840 --> 00:50:59,720 WHALE SONG 703 00:50:59,720 --> 00:51:02,440 That is why I'll never cease to wonder at 704 00:51:02,440 --> 00:51:04,000 the beautiful sounds 705 00:51:04,000 --> 00:51:05,760 we call song. 706 00:51:07,840 --> 00:51:09,800 CHIRPING 707 00:51:28,960 --> 00:51:32,680 Few sounds of nature are more beloved by this nation 708 00:51:32,680 --> 00:51:35,400 than that of the nightingale. 709 00:51:35,400 --> 00:51:38,440 And there's one more recording of it that I have memories 710 00:51:38,440 --> 00:51:40,400 of listening to as a child. 711 00:51:41,640 --> 00:51:47,280 It was made by the BBC two years before I was born, in May 1924. 712 00:51:48,400 --> 00:51:52,920 It's a cello accompanied by a nightingale. 713 00:51:52,920 --> 00:51:55,880 In this country, it was ground-breaking. 714 00:51:58,640 --> 00:52:04,600 It is, in fact, the first live broadcast of any wild animal song. 715 00:52:10,640 --> 00:52:15,320 The idea came from a celebrated cellist called Beatrice Harrison. 716 00:52:17,680 --> 00:52:21,640 RECORDING: One night when I'd been playing for hours, 717 00:52:21,640 --> 00:52:24,640 I suddenly heard the note 718 00:52:24,640 --> 00:52:28,120 of the most heavenly bird, 719 00:52:28,120 --> 00:52:32,880 and it struck me how lovely it would be if he could be broadcast. 720 00:52:36,480 --> 00:52:40,600 The nation held its breath while Beatrice played. 721 00:52:40,600 --> 00:52:45,040 It was the first time that the wild world of nature 722 00:52:45,040 --> 00:52:47,280 came straight into your living room. 723 00:52:50,960 --> 00:52:55,360 Perhaps a million listeners tuned in to that first broadcast. 724 00:52:58,840 --> 00:53:02,920 It was so popular, the BBC made it an annual event. 725 00:53:05,720 --> 00:53:10,640 The performance became so celebrated that Beatrice was asked to recreate 726 00:53:10,640 --> 00:53:14,120 it for a 1943 film with Sir Laurence Olivier. 727 00:53:14,120 --> 00:53:16,320 CELLO PLAYS 728 00:53:19,200 --> 00:53:21,000 BIRD CALLS 729 00:53:28,160 --> 00:53:31,640 It was far from the first time, of course, that the nightingale 730 00:53:31,640 --> 00:53:33,880 had made a cultural appearance. 731 00:53:35,040 --> 00:53:40,800 The nightingale has inspired poets and musicians for ages, and perhaps 732 00:53:40,800 --> 00:53:45,320 the most famous poem of all is by John Keats. 733 00:53:46,600 --> 00:53:50,160 Thou was not born for death, immortal Bird! 734 00:53:50,160 --> 00:53:54,080 No hungry generations tread thee down, 735 00:53:54,080 --> 00:53:58,040 The voice I hear this passing night was heard 736 00:53:58,040 --> 00:54:01,400 In ancient days by emperor and clown. 737 00:54:03,320 --> 00:54:07,800 Keats wrote those lines in Hampstead in London, 738 00:54:07,800 --> 00:54:11,360 but he wouldn't hear a nightingale there today. 739 00:54:17,800 --> 00:54:20,640 There are no nightingales in London now. 740 00:54:21,920 --> 00:54:26,440 In fact, we've lost over 90% of nightingales in this country 741 00:54:26,440 --> 00:54:28,280 in the last 50 years. 742 00:54:31,440 --> 00:54:32,640 What a tragedy. 743 00:54:36,120 --> 00:54:38,880 The causes are still not fully understood... 744 00:54:40,760 --> 00:54:45,160 ..but habitat deterioration probably played a significant part. 745 00:54:51,240 --> 00:54:54,960 In one small corner of Britain, however, there is a place trying 746 00:54:54,960 --> 00:54:58,120 to provide the nightingale with a safe haven. 747 00:54:59,680 --> 00:55:06,000 The Knepp Estate in West Sussex - 3,500 acres that was once farmland. 748 00:55:07,920 --> 00:55:12,200 But the soil here wasn't suited to modern-day intensive agriculture. 749 00:55:13,640 --> 00:55:17,200 Since 2001, it's been left to nature. 750 00:55:19,680 --> 00:55:24,800 There aren't many rewilding projects in Britain as pioneering as this. 751 00:55:28,680 --> 00:55:30,480 Wildlife now thrives here... 752 00:55:34,840 --> 00:55:38,120 ..including some of the country's rarest species. 753 00:55:43,720 --> 00:55:46,160 CUCKOO CALL 754 00:55:46,160 --> 00:55:49,840 This, for many of Britain's best-loved songbirds, 755 00:55:49,840 --> 00:55:52,920 is an ideal place for shelter and food. 756 00:55:58,760 --> 00:56:02,840 The nightingale is one of many species found at Knepp. 757 00:56:04,640 --> 00:56:08,280 Here, dense, almost impenetrable thorny scrub 758 00:56:08,280 --> 00:56:10,760 provides their ideal nesting site. 759 00:56:16,560 --> 00:56:21,320 Today, it's late spring and one nest of chicks is being ringed. 760 00:56:24,800 --> 00:56:28,560 This makes it possible to gather vital information that can help 761 00:56:28,560 --> 00:56:30,520 monitor population numbers. 762 00:56:34,760 --> 00:56:38,280 There are estimated to be more than 40 nightingale territories 763 00:56:38,280 --> 00:56:40,240 in this area of the estate. 764 00:56:44,200 --> 00:56:46,680 Back when it was intensively farmed, 765 00:56:46,680 --> 00:56:48,480 there were only nine. 766 00:56:49,680 --> 00:56:52,760 Few places in Britain have nightingales increasing 767 00:56:52,760 --> 00:56:54,080 in such numbers. 768 00:56:58,480 --> 00:57:01,880 It gives us hope, perhaps, that the British countryside 769 00:57:01,880 --> 00:57:05,200 could once more be filled with the nightingale's 770 00:57:05,200 --> 00:57:07,720 beautiful and iconic song. 771 00:57:13,760 --> 00:57:19,480 How wonderful it would be if each of us could say we've heard the songs 772 00:57:19,480 --> 00:57:23,120 of the Earth and we've saved them. 773 00:57:23,120 --> 00:57:25,360 BIRDSONG 774 00:57:32,200 --> 00:57:34,240 WHALE SONG 775 00:57:51,440 --> 00:57:54,800 BIRD AND WHALE SONG 94583

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