Calls of the little auk (Alle alle) chicks reflect their behavioural contexts
PLoS ONE,
Год журнала:
2024,
Номер
19(2), С. e0299033 - e0299033
Опубликована: Фев. 23, 2024
Animal
vocalisations
can
often
inform
conspecifics
about
the
behavioural
context
of
production
and
underlying
affective
states,
hence
revealing
whether
a
situation
should
be
approached
or
avoided.
While
this
is
particularly
important
for
socially
complex
species,
little
known
expression
in
wild
colonial
animals,
even
less
to
their
young.
We
studied
auk
(
Alle
alle
)
chicks
Hornsund
breeding
colony,
Svalbard.
Little
auks
are
highly
seabirds,
adults
convey
contexts
through
calls.
recorded
chick
calls
during
two
opposite
valence:
handing
by
human,
while
they
interact
with
parents
inside
nest.
Using
permuted
discriminant
function
analysis
series
linear
mixed
models,
we
examined
effect
context/associated
valence
on
acoustic
parameters
those
Calls
were
reliably
classified
context,
over
97%
accuracy.
uttered
handling
had
higher
mean
entropy,
fundamental
frequency,
as
well
lower
spectral
centre
gravity
steep
slope
compared
produced
interactions
parent
The
individuality
calls,
assessed
information
content,
was
than
These
findings
suggest
that
seabird
effectively
communicate
behavioural/affective
conveying
messages
early
development.
Our
results
mostly
line
emotional
patterns
observed
across
taxa,
supporting
evolutionary
continuity.
Язык: Английский
Vocal repertoire and individuality in the plains zebra ( Equus quagga )
Royal Society Open Science,
Год журнала:
2024,
Номер
11(7)
Опубликована: Июль 1, 2024
Acoustic
signals
are
vital
in
animal
communication,
and
quantifying
them
is
fundamental
for
understanding
behaviour
ecology.
Vocalizations
can
be
classified
into
acoustically
functionally
or
contextually
distinct
categories,
but
establishing
these
categories
challenging.
Newly
developed
methods,
such
as
machine
learning,
provide
solutions
classification
tasks.
The
plains
zebra
known
its
loud
specific
vocalizations,
yet
limited
knowledge
exists
on
the
structure
information
content
of
vocalzations.
In
this
study,
we
employed
both
feature-based
spectrogram-based
algorithms,
incorporating
supervised
unsupervised
learning
methods
to
enhance
robustness
categorizing
vocalization
types.
Additionally,
implemented
a
permuted
discriminant
function
analysis
examine
individual
identity
contained
identified
findings
revealed
at
least
four
types—the
‘snort’,
‘soft
snort’,
‘squeal’
‘quagga
quagga’—with
differences
observed
mostly
snorts,
lesser
extent
squeals.
Analyses
based
acoustic
features
outperformed
those
spectrograms,
each
excelled
characterizing
different
We
thus
recommend
combined
use
two
approaches.
This
study
offers
valuable
insights
vocalization,
with
implications
future
comprehensive
explorations
communication.
Язык: Английский
Long distance calls: negligible information loss of seabird social vocalisations over propagation down to the hearing threshold
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Март 8, 2024
ABSTRACT
How
well
does
the
information
contained
in
vocal
signals
travel
through
environment?
To
assess
efficiency
of
transfer
little
auk
(
Alle
alle,
an
Arctic
seabird)
calls
over
distance,
we
selected
two
social
call
types
with
highest
potential
for
individuality
coding.
Using
available
recordings
known
individuals,
calculated
apparent
source
levels,
maximum
peak
sound
pressure
level
(ASPL)
63
dB
re
20
µPa
at
1
m
both
types.
Further,
created
a
propagation
model
using
meteorological
data
collected
vicinity
colony
Hornsund,
Spitsbergen.
this
model,
simulated
up
to
putative
hearing
threshold
species,
equal
ASPL
propagated
roughly
one
kilometre.
Those
were
then
used
permuted
discriminant
function
analysis,
support
vector
machine
models,
and
linear
models
Beecher’s
statistic,
investigate
whether
transmission
loss
will
affect
retention
individual
signal.
Calls
could
be
correctly
classified
individuals
above
chance
independently
down
physiological
threshold.
Interestingly,
capacity
signal
did
not
decrease
propagation.
While
study
touches
on
properties
purely
cannot
provide
evidence
actual
use
by
animals,
it
shows
that
can
long
distances
negligible
loss.
For
mean
they
recognize
members
their
networks
as
far
those
are
actually
audible,
hypothesis
vocalisations
facilitate
long-distance
communication
species.
Язык: Английский
Long distance calls: Negligible information loss of little auk social vocalisations due to high frequency propagation losses
PLoS Computational Biology,
Год журнала:
2024,
Номер
20(12), С. e1011961 - e1011961
Опубликована: Дек. 2, 2024
How
well
does
the
information
contained
in
vocal
signals
travel
through
environment?
To
assess
efficiency
of
transfer
little
auk
(
Alle
alle
,
an
Arctic
seabird)
calls
over
distance,
we
selected
two
social
call
types
with
highest
potential
for
individuality
coding.
Using
available
recordings
known
individuals,
calculated
apparent
source
levels,
maximum
peak
sound
pressure
level
(ASPL)
63
dB
re
20
μPa
at
1
m
both
types.
Further,
created
a
attenuation
model
using
meteorological
data
collected
vicinity
colony
Hornsund,
Spitsbergen.
this
model,
modelled
to
reflect
higher
frequency
filtering
and
loss
occurring
during
spherical
spreading
perfect
local
conditions,
down
putative
hearing
threshold
species,
equal
ASPL
“propagated”
roughly
one
kilometre.
Those
were
then
used
permuted
discriminant
function
analysis,
support
vector
machine
models,
linear
models
Beecher’s
statistic,
investigate
whether
transmission
will
affect
retention
individual
signal.
Calls
could
be
correctly
classified
individuals
above
chance
independently
physiological
threshold.
Interestingly,
capacity
signal
did
not
decrease
its
attenuation.
While
study
touches
on
properties
purely
cannot
provide
evidence
actual
use
by
animals,
it
shows
that
can
theoretically
long
distances
negligible
loss,
supports
hypothesis
vocalisations
facilitate
long-distance
communication
species.
Язык: Английский