0 Acad6mie Neurosciences
des sciences / Elsevier. / Neurosciences
Paris
Propagation of bird acoustic signals: comparat.ive study of starling and blackbird distress calls Propagation des signaux acoustiques d’oiseaux : 6tude comparative des cris de detresse d’etourneau ~IICOLAS
MATHEVON”
’ 1.‘~ 1491 du CNRS,
2* , THIERRY
ALam, lnboratoire
des
‘Lnboratoire de biologic animale et appliq&,
AUBIN’,
JEAN-CLAUDE
et de met-/e
BI&MOND’
&canismes de communication, universitP Paris-XI, 91400 Orsay; fact&
des xczencef et techniques
universit~jean-IMonnet,
42100
Shnt-i%ienxe.
Franc,?
De precedents travaux ont montrt que l’information contenue dans un cri de detresse d’oiseau est codte a la fois par la repartition d’energie entre les harmoniques et I’evolution temporelle de la modulation de frequence. Dans la prtsente etude, en considerant ces paramttres, no ~1s avons compare la transmission de l’information a longue distance des cris de detresse d’etourneau Sturnus vulg~is et de merle Turdus merula B travers un environnement a vegetation dense. II apparait que I’atttnuation excessive des frequences elevCes (superieures B 4 kHz) apres une propagation a longue distance est responsable de modifications spectrales. L’energie des signaux propages tend a etre concentree dans une bande passante de 1,5-4 kHz quel que soit le spectre initial. Presentant un spectre large (0,8-T kHz), le cri de detresse de I’ttourneau est grandement mod&e. En revanche, ayant un spectre plus Ptroit (2-5,5 kHz). I e cri de detresse du merle n’est que peu rnodifte. Le cri de detresse du merle apparait comme bien adapt6 a une transmission h longue distance dans un environnement a forte vegetation. k l’oppose, le cri de derresse de I’ttourneau est beaucoup plus facilement degrade lors dune propagation. Neanmoins, la modulation de ftequence du cri de i’etourneau est conservte et ie decodage de i’information reste possibir ‘men clue sa fiabilite puisse diminuer. Ce resultat est examine dans une perspective ethoecologique, en prenant en consideration I’habitat et la structure sociale de ces deus oiseaux. Mats
cMs
: communication
acousfique,
propagaffon,
cris de dkfresse,
oisecrux
ABSTRACT I’revious works have demonstrated that the information rupport#Pd by a bird distress call is encoded both L’y the energy d’istribution among harmonics-and the temporal involution of thej&quency modzklntiox In the present study, using these parameters, we compared long-range information transfer in a dense tiegetatian environment between the starling Sturnus vulgaris and the blackbird Turdus merula ,distress calls. It appears that excessattenuation of hi
Note pr&snt& UOR remix
par Pierre Buser le 7 juillet 1997. accepr~e
‘Correspondence
ap+s revision Ic 1” ocrnhre 1937
and reprints
C. R. Acad. Sci. Paris. Sciences 1997.320.869-876
de la vie / Life Sciences
869
N. Mathevon
et al.
frequency mo d u I a t’zon of t h e starling call is preserved and message decoding remains message reliability may diminish. This result is examined5 om un et~o-ecologi,-i~lyuint into account both habitat and socialstructure of both birds. Key words:
acoustic
VERSION
communication,
propagation,
distres.3
calls,
ABREGEE
Les cris de detresse sont des signaux emis par de tres nombreuses especes d’oiseaux. 11s permettent d’avertir les congCn2res d’un danger. Quelle que soit l’espece d’oiseau consid&&e, les cris de detresse tendent vers la m&e structure de base (une frequence porteuse et ses harmoniques, le tout lentement modulte en frequence) et les lois de decodage semblent &tre intersp&ifiques. Vu leur structure complexe, les cris de dCtresse risquent d’Ctre fortement modi& aprks une propagation sur de longues distances en milieu B v@ation deme. Pourtant, pour assurer leur fonction biologique, de tels cl-is doivent pouvoir Ctre entendus et leur information decodte m6me g de longues distances de I’Pmetteur. On peut supposer que les oiseaux vivant dans des milieux B vegttation dense emettent des cris de dttresse plus adapt& aux propriMs acoustiques de cet habitat que ceux vivant en milieu ouvert. Nos recherches ont pour objet d’eprouver cette hypothtse en comparant deux espkces d’oiseaux : une caractkristique de milieu forestier, le merle Turdus merula, et une vivant le plus souvent en milieu ouvert, I’Ctourneau Sturnus vulgaris. Les cris de detresse de ces deux especes presentent la structure caract& ristique d&rite plus haut. 11sdiffirent du fait que le spectre du cri de I’Ctourneau est beaucoup plus large que celui du cri du merle. ConsidCrant que le processus de codage-decodage des cris de ditresse repose B la fois sur la repartition de l’energie entre les harmoniques et I’Cvolution temporelle frequentielle, nous avons pris en compte ces deux parametres pour norre etude, B l’exclusion de tout parametre d’amplitude.
Introduction
warn other prey of danger, 31. They are well-known
by numerous species a predator. They serve
and to confuse predators to evoke an interspecific
of ‘to IIres-
ponse [4-71. This interspecificity results from the structural convergence between signals of different species. Distress calls tend toward the same basic form: a carrier frequency with numerous harmonics, slowly modulated in frequency [8]. The structure of distress calls differs among bird species with regards energy distribution between spectrum harmonics, values of fundamentals and number of harmonics. Different species of bird use the
same 1 -A
two simple
basic slope
laws
of decoding
(a slowly
for
increasing
call
recognition: or decreasing
frequency modulation) applied to a carrier frequency that follows the acoustic shape of a natural distress call is sufficient to confer a distress meaning to the signal [8]. The
870
of view,
even
if
taking
birds
11 en r&Ite que le spectre du cri de dPtresse de l’ttourneau est grandement mod&e apt& une propagation B longue distance en milieu g veg&ation dense. En revanche, le spe’ctre du cri du merle est bien conservP. Ces r&ultats, obtenus it partir de signaux naturels, sont en accords avec ceux obtenus pr&Pdemment avec des signaux acoustiques artiflciels. A l’emission, I‘Cnergie sonore du cri de l’etourneau est repartie sur un large spectre (X00-7 000 Hz). Les frtquences supirieures g 5,5 kHz ne resistent pas P la propagation et jont absentes du signal propage. En revanche, l’energie sonore du cri du merle est concentrCe sur les premiPres harmoniques. Cette repartition est consen+e aprks une propagation g longue distance. Du point de vue spectral, le cri du merle est done bien adapt6 B une propagation dans un milieu g vegetation dense tandis que celui de I’Ptourneau ne l’est pas. Cependsnt, une caract& ristique importante est prtservCe dans les deux cas: la modulation lente de frPquence. 11apparait done que l’information port&e par le cri de dktresse de l’ttourneau sera rPduite apres une transmission B iongue distance B travers une v6gCtation dense, au contraire de celle portee par le cri du merle. D’apri:s cette Ctude, il est possible de mettre en evidence des diffirences de structure acoustique entre de:; signaux provenant d’oiseaux vivant dans des biotopes diffiirents et de correler ces diffkrences aux contraintes acoustiques particul2res h ces biotopes.
frequency the distress
Distress calls are signals given bird when they are seized by
possible
modulation is therefore call for triggering the
an important feature responses of birds.
of
2 - Another feature, the harmonic structure, plays a role in the coding/decoding process of distress calls. An ethological message is encoded in the harmonic structure by the energy distribution between the spectrum harmonics 191. Spectra with a high intensity upper part produce stronger response than other types of spectra. Wide-band frequency spectra elicit a stronger response than narrowband
spectra
Birds ulation Distress
a
191.
do not use parameters for decoding [lo]. calls
are
uttered
relative
to amplitude
by numerous
species
modliving
in
different habitats [5]. Species living in an environment with dense vegetation must cope with important acoustic degradations [I l-l 31. Owing to their complex strl;cture, distress calls cannot be transmitted without being altered. As the message must be heard by the receiver.
serves to warn other individuals, at long range and trigger a quick We can suppose that birds living
C. R. Acad.
Sci. Paris, Sciences
the calls response in dense
de la Me / Life Sciences 1997. 320.669-876
Propagation
K.hz
starling
t
cf distress
blackbird 6 --------------------------------
calls
KtlZA
-^-----~.~
4 ..____ ---_
4
+
240 ms Figure h’o:e
1. Spectrograms the harmonic
vegetation properties
of distress structure,
calls.
widespread
over
a broad
use distress calls more adapted of this habitat than birds living
frequency
bar !d.
to the acoustic in open field.
The present study investigates this hypothesis paring two bird species: the blackbird Turdus the starling Sturnus vulgaris. We have chosen bird because, although this bird can be found
Playback
by commerula and the blackin various
an-:hropized environments, the original blackbird habitat is forest and dense bushes [I 41. Moreover, previous investigations have shown that the blackbird has behavioural adaptations to improve efficiency of song communication in dense vegetation [I 5, 161. In contrast, we have chosen the starling because this species spends most time foraging in open fields such as pastures
were days
!Distress
calls
of both
structure: modulated
of its activity or cultivated
the following broad, whereas
those
species
havethe
came
char-
a carrier frequency with harmonics, in frequency. However, they differ
aspects. The starling that of the blackbird
in
call spectrum is very is narrower (figure 1).
‘n the present study, we compare distress calls to transfer information environment with dense vegetation.
the ability at long Since
of these two range in an the coding/
decoding process of calls is based upon energy distributim between harmonics and temporal evolution of the frequency bandwidth, our work focuses on these two parameters. account.
Amplitude
modulation
was
not
taken
and methods
Playback
and
recording
P,+ciple
and
experimental
into
individual to another single representative blackbird.
conditions
C. R. Acad. Sci. Pas, l’G’97 320 I 869-876
were
is stereotyped stable from
and one
experiments, we chose a for the starling and the
Recording
February and microphone
March, saturation
calm and to
fluctuations. Both the loudwere at a distance of I.3 m ground effect [171. Playback (measured with a Bruel&Kjaer Bruel&Kjaer microphone type in front of the loudspeaker.
recorder at a tape speed of 19 cm/s, an Audax loudspeaker were used. the loudspeaker met tlie frequency signals.
A SeinheicJer M02 11 N omnidirectional connected to a NAGRA type IllB recorder 19 cm/s
on
material
was
microphone at a speed
of
used.
analysis
dktribution
between
transforms
(FFTs)
to focus on process and tem-
harmonics
Signals were examined in the frequency software developed in the laboratory distribution of energy accurately, we 256.point window size. The sampling Fast Fourier
Scief~,, -0~ de u !c vie / Life Sciences
performed
material
A U her 4000 report IC a IO-W
Energy
distress call are relatively
181. In our call each
calls
As mentioned in the Introduction, we chose the two parameters used in the coding/deco’ding of calls: energy distribution between harmonics poral evolution of frequency bandwidth.
procedure
Within a bird species, the its physical characteristics
of distress
performed between without wind to avoid
Playback
Sound
Materials
recording
limit random amplitude speaker and the microphone from the ground to limit intensity was 90 dB linear type 2235 connected to a 4176) at a distance of 1 m
lands. acteristic slowly
and
over long range (40 m) through dense bus11 (hawthorn Crataegus oxyacantha, Prunus spinosa, pri\/l-t Ligustrum vulgare). We then compared these propagated signals to undegraded control signals obtained after a 1 O-m propagation in an open field (under this condition, rangeand habitat-induced degradations are negligible). Experiments
were
domain using a [18]. To reveal the used a FFT with a rate was 16 kHz.
calculated
at the
tem-
$7 !-
N. Mathevon
et al.
poral middle of the signals. Ten propagated signals were used. Then, centages
we calculated per octave
control
signals
and
signal energy distribution using the Bessel-Perceval
ten
moves energy.
as perequation
than O-l
3/4 -kHz
ior the propagated and especially
signal 4-8-kHz
frequency ranges are attenuated strongly. ‘The latter represents l/3 of the control signal energy and less than 10% the propagated signal energy.
of
1191. Temporal
with
evolution
mdximum
of frequency
On the modified
bandwidths
amplitude
and 240
every ms).
20
For these dynamic commonly
ms
for
the
calculations, ranging used
blackbird we chose
from in bird
call
(call
to take
into
Statistical
control tion.
calculated only the
average frequencies
accouni.
a
(figure
and ten propagated ones were usecl Because we had rather small sample Mann-Whitney non-parametric test
between
harmonics
of data is modified
show that energy between control
Table
corresponding in comparison less than 2/3
I. Energy
distribution
frequency
range
to l-2and 2-4-kHz ranges with others. The octave2-4 oi the control signal energy,
among
octaves
24 4-8
32.1%
O-8
1 OOY” difference
from
control;
energy
distribu-
bandwidths
modifications in energy dornain may on the temporal evolution oifrequency. of signal temporal evolution between
the control frequency
significant
3.6 down
Discussion Signal Our and
are kliz but
have The the
signal is characterised modulation from the
by a slowly beginning to
to 2.9
kHz).
distress
call
and- conchs~on
degradation work shows the bllackbird distress
in a closed
blackbird
spectra
(comparison
undergone a long-range
between
control
and
Rlackbird
1 .O%
Control
O.cWo
signals).
NS
4.2 %, 73.0%
6.3% 79.0%
NS NS
22.8%
14.7%
*
1 00%
100%
propagated
Propagated
0.0%
NS
x 0.05,
by starling propagation
-__
~~
13.0% * 76.5:/;, 1 9.5’Y 0 IX
difference:
modifications calls after
environment.
Propagated
2.4% 7.5% 58.0%
no significant
and
Control
o-1 l-2
872
in starling
St3 rlfng
(kt-izj
regarding
distribuand pro-
pagated signals in both species calls it&/c!;!. however, these modifications do not affect signal structure in the same proportions. Indeed, as iar as the starling, call is concerned, the energy distribution is strongly modified: frequencies reiniorced represents
signals
afiects (I -2. and between
the end of the signal [from near 2 kHz up to more than 3 kHzi; this is also found in the propagated signal. Regarding the blackbird distress call, the temporal structure made by a first slowly increasing FM (,from 3.2 up to 3.6 kHz) and a second slowly decreasing FM is also preserved (from
Statistical comparisons tion among octaves
propagated
strongly blackbird
2).
tress call, increasing
Results distribution
not
control and the propagated conditions shows that one oi the acoustic parameters is preserved in both calls: the shape of slow frequency modulation. This phenomenon is obvious considering the mean of ireqliency values of maxirnum amplitude (figure 3). Regarding the starling dis-
Pll.
Energy
and
The above repercussions comparison
by men-
analysis
Ten control signals for each comparison. sizes, we used the
distribution is and propagated
Temporal evolution of frequency with maximum amplitude
results from is very smJll. becomes
frequencies within the
energy control
Therefore, after a 40-m propagation in a closed environment: the starling call bandwidth is very reduced, as a result of the attenuation of high frequencies. On the contrary, the blackbird call bandwidth remains the same
=
0 to -30 dB. The -30.dB limit is studies j201. The choice of-30 dB,
as a limit for bandwidth boundaries measures the fact that at -30 dB the signal/noise ratio Below this limit, transmission of information problematical. We taking into account tioned bandwidth.
duration
contrary, between
signals. Indeed, the only statistical difference the 4--8-kHz octave. The main part of the asignal 2-4-ktiz octaves) is not statistically different
Ten control signals and ten propagated signals were conpared. In order to follow the temporal evolufion of the frequency, the average frequency was calculated, for each experimental signal, at ten equally spaced times: every 50 ms for the starling call (call duration =: 500 ms),
NS:
up to more Accordingly,
100%
** 0.02.
C. R. Acad.
Sci. Paris,
Sciences
de
la vie / Life Sciences 1997. 320. 869-876
Propagation
Starling
dB 0
1
2
of distress
calls
Blackbird
3
4
5
6
kHz
7
12
3
4
I
I
5
kHz
61
-30
I 1
Figure &)th
2. Control are
cd/h
I
I
2
3
andpropagated affected
I
distress
by a propagation
but
4
5
call
spectra these
-
-
I
I 6
k.Hz
7
of both
I
studied do not
modihcat~on.~
1
2
affec-t
spectra
composition
to be concentrated initial spectrum
strongly attenuated. relatively preserved itable I and figure
The two proportion
previous uation
the blackbird spectrum is the considered frequencies results are consistent with
works dealing with frequency-dependent [I l-l 31. We show that frequencies
under
atten4 kHz
4
I
5
I
6
kHz
7
species.
The starling spectrum is greatly modified after propagation; in particular, the frequencies above 4 kHz are In contrast, whatever 2). These
3
I
in the same
proportion
in a I-4-kHz energy distribution
calls studied regarding
here their
bandwidth (table
whatever
the
/).
are not modified spectrum after
in the same long-range
propagation. This is obvious if distress call spectra are compared (figure 21: as far as the blackbird is concerned, control and propagated spectra are quite similar; on the
propagate with less degradation than others. High frequency attenuation results from sound scattering and absorption by vegetation 112, 131. Studies with artificial signals have shown that the lower the frequency is the better the sound is carried, particularly in closed environments (bushes, dense forests). However, close to the
contrary, the starling ones are very different. As a consequence of these modifications in the frequency domain, the starling call bandwidth becomes narrower after longrange propagation in dense vegetation. On the contrary, in these propagation conditions, the blackbird call bandwidth remains the same.
ground, sounds below 2 kHz are excessively attenuated [22l. We cannot, however, provide evidence of this last phenomenon because the distress calls studied contain
We notice that the spectrum of the control blackbird distress (call is very similar to the spectrum of the propagated starling distress call. Thus, it appears that the spectrum structure of the blackbird distress call is well-
no or few frequencies cies below 500 Hz susceptible has been
below 1 kHz. and above 3-4
to degradation. called ‘sound
The window’
In any case, frequenkHz are particularly
interval 500 by Morton
At the emission, starling call energy a broad spectrum (800-7000 Hz). 4 kHz are not resistant to long-range
Hz to 4 kHz 1231.
is widespread Frequencies propagation
over above and are
adapted dispatched long-range
to long-range propagation since signal over frequencies relatively preserved propagation in a dense environment.
trast, the spectrum appears to be badly conditions.
structure adapted
of the starling to propagation
lacking in propagated signals. On the contrary, blackbird call energy is concentrated on the first harmonics (frecluencies lower than 4 kHz, belonging to Morton’s window); therefore this distribution is relatively preserved
However, an important feature of evolution is preserved in both calls: frequency modulation. Regarding slowly increasing FM is preserved.
cluring ment.
bird call, (figure 31.
long-range propagation, even After a long-range propagation,
C. R. Acad.
SCI. PCm,
1097. 320. 869-876
Sciences
de
in a closed environsignal energy tends
ia vie i iik
S&XeS
the
temporal
structure
energy is during In con-
distress under
call these
distress call temporal the shape of the slow the starling call, the Observing the blackis
also
preserved
873
N. Mathevon
et al.
Starling
Blackbird
Control
Control 5000
01
I 50
150
250 Tune
350
40
450
60
120 Time
(ms)
Propagated
160
200
(ms)
Propagated 5000,
‘““:1----.A 150
50
Figure In each
3. Temporal case,
evolution
the shape
250 Tl,“C
of average
of the frequency
350
450
(“IS)
frequency. modulation
i> preserved.
As a consequence of these results, we would say that the blackbird distress call structure is more preserved than the starling one after long-range propagation in dense vegetation. Both the blackbird and the temporal evolution preserved. On the contrary, tains its temporal evolution tion; its spectrum composition Message Among always
call spectrum composition of frequency bandwidth are the starling call only mainregarding frequency modulais harshly modified.
transmission birds, the basic acoustic shape of distress the same: a complex carrier frequency with
calls is nume-
rous harmonics and a slow frequency modulation applied to the carrier from the beginning to the end of the signal 181. Studies on starling have shown that a synthesised distress call with a wide-band frequency spectrum elicits a stronger response from birds than one with a narrow-band spectrum. Moreover, spectra with a high intensity upper part (ie, high energy in high frequency harmonics) produce a stronger response than other types of spectra [9]. Therefore, it appears that information supported by the starling distress call will long-range propagation energy
874
distribution
between
be reduced and modified in dense vegetatiorr since harmonics
is harshly
after the
altered.
These
modifications
message Regarding between
are
so important
that
the ethological
tie,
presence of danger) could be deteriorated. the blackbird call, the energy distribution harmonics is different from that of starling. The
call sipectrum has a low intensity upper part (ie, low energy in high frequency harmonics). The energy distribution between harmonics is then preserved after longrange propagation in dense vegetation. The physical characteristics of the call are little modified by propagation. The ethological racteristics can cant cleterioration. All birds
message supported by these phvsical chabe conveyed at long range without signifi-
use the slow
frequency
modulation
as a decod-
ing parameter. If this FM is lacking, the call loses its distress meaning 124, 251. The shape of thus slow FV can vary among bird species. For instance, the black-headed gull L8arus ridibundus recognises a distress message from an increasing or a decreasing FM. The black-headed gull distress call begins with a slowly increasing part and then continues with a slowly decreasing part urltil the end. The starling identifies the distress message c)nly if the FM is slowly increasing. No experiment has been carried out concerning blackbird call decoding; the call temporal structure
is however C. R. Acad.
based Sci. Paris,
upon Sciences
the same de
shape
la vie
1997
as that
/ Life Sciences
320.869-876
of
Propagation
the black-headed decreasing FM that the blackbird the distress call
gull: a slowly increasing followed by (figures 1 and 3). We can then suppose uses this shape of slow FM to recognise meaning [8]. Regarding our experimental
results, the temporal shape of FM is preserved for the two studied calls. Therefore, this important decoding parameter can be used by both birds, even after a 40-m propagation in dense vegetation. Neither the blackbird nor the starling parameter,
are
penalised since there
An etho-ecological
by an eventual is no alteration.
point
alteration
of this
of view
size, and vocalisation depend mostly on size
possibilities [271.
Ac:knowledgements:
thank
among
M. Rehai’lia
improvement
SD.. Tuckfield In birds. Am.
studies on vulgaris).
the use Science
of a 119,
R.C. 1976. Distress Nat. 96,418-430
screams
as
3 Hill G.E. 1986. The function of distress m ce (Parus b~color): an experimental 34, 590-598
calls given approach.
by tufted titAnim Behav.
4 Brbmond J.C.. Gramet P.. Brough T., Wright E.N. 1968. ri!;on of some broadcasting equrpments and recorded calls for scaring birds. J. Appl. Ecol. 5,521.529 5. Busnel acousfique c’rseaux. 6 Morgan jackdaws 48 l-49 1
R.G Giban J. (eds). des cultures ef a&es lnra Presse, Paris P.O., (Corvus
7. Morgan P.O.. vus munebula) Pehav. 22,688.694
Howse P.E. monedula)
.4 compadistress
1960. Coiloque suf /a protection moyens d’effarouchemenf 1973. Avoidance to distress calls.
Howse P. E. 1974. to normat and
Conditioning modified
@. Aubin T. 1991, Why do distress calls ses? An experimental study applied Elehav. Process. 23, 103-l 11
conditioning An/m. Rehav. ofjackdaws distress calis.
evoke interspecific to some species
111. Brbmond J.C., Aubin T. 1992. The role of amplitude il-1 distress-call recognition by the black-headed Lundus). Ethoi. Ecol. Evol. 4. 187-191 Paris,
Sciences
de
la vie
/ Life
gull
Sciences
des of 2 1,
(CarAnim. responof birds.
9 Aubin T., Brbmond J.C. 1992. Perception of distress call monic structure by the starling (Sfurnus vuigaris). Behaviouf 15-163
(1:. R. Acad. Sci. 1997. 320,869.876
birds that call uttered
modulatiorl (Laws
clense flocks. to relay disrange. There-
have heard and by one of them,
The density
blackbird social of individuals
factors may be invoived to expiain between the starling and blackbird to know which of them is preponderant
English.
11. Cosens tion and habitats.
H , Jumber J. 1954. Preliminary sound to repeal starlings (Sturnus S.. Fretwell of kinship
take offs of some decoded a distress
may be different
could be a releasing stimulus for the other flock members [visual signal, may be acoustical - wing fluttering). The selective pressure on the starling call structure is probably
of the
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Starlings live in quite signals are susceptible information at long
calls
strucbeing
acoustics/ calls. It is but all perrnadistress for the
blackbird than for the starling: birds cannot see each other, only acoustical communication is possible but is seriously under pressure by a scattering environment. In response to this strong seiectltie pressure, the biZickbird.cailspect.rum is narrower than that of the starling. Energy is concentrated on few harmonics and the signal is very resistant over long-ran;ge propagation in a closed environment.
passerines
for the
elements is very
operate in the same way: individual distance and nent unfavourable acoustical environment make call information conveyance much more difficult
However, this is not sufficient to explain the inadequacy of the starling distress call. Moreover, we can presume that the blackbird and starling have comparable vocalisation capacities. Indeed, both species are of comparable
1. Frings specific 318-319
fore, the correctly
Severai differences impossible
diffeforest open
environment. As a consequence, the blackbird distress call is wellin a very sound scattering habitat.
We
among these species. In such a group, other tress calls and convey
some other social structure
weaker than for the blackbird. ture is very different, the much slighter.
First, the habitats of the two birds studied are qurte rent. The original habitat of the blackbird is dense [I41 while the starling lives in various habitats from field to a very closed one can expect that adapted to propagation
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har120.
ridi-
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