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