Avian Research,
Journal Year:
2023,
Volume and Issue:
14, P. 100115 - 100115
Published: Jan. 1, 2023
Dialects
are
a
specific
form
of
geographic
variation
birdsong
with
relatively
sharp
boundaries
between
distinct
song
characteristics,
which
provide
opportunities
for
focused
studies
processes
underlying
the
emergence
spatial
patterns
in
vocalization.
Several
songbird
species
that
exhibit
dialects
became
models
such
research,
and
some
them
large-scale
datasets
were
assembled
included
recordings
provided
by
public.
Among
them,
Yellowhammer
(Emberiza
citrinella,
Emberizidae)
is
particularly
prominent,
as
it
has
been
recently
subject
dedicated
citizen
science
projects
focusing
on
its
dialect
distribution.
The
most
successful,
terms
public
participation
well
number
density
obtained
recordings,
was
Czech
Yellowhammers
(DCY)
project,
detailed
data
at
whole-country
level.
A
mosaic
almost
all
common
variants
known
across
Europe
observed
Czechia,
but
results
indicated
traditionally
recognized
may
not
represent
geographically
clustered
variants,
least
Central
Europe.
We
quantitatively
analysed
(frequency
temporal
characteristics
modulation)
terminal
element
three
defined
arbitrary
frequency
thresholds
DCY.
Multivariate
analyses
pooling
these
to
two
groups
reflects
songs,
their
distribution,
better
than
retaining
current
classification
or
finer
splitting
even
more
categories.
simple
measures
be
used
However,
we
warn
from
indiscriminate
transposing
one
region
another,
lead
substantial
biases.
Future
will
benefit
big
scientists,
maximise
usefulness
further
careful
delineation
essential.
Journal of Ornithology,
Journal Year:
2022,
Volume and Issue:
164(1), P. 233 - 244
Published: Oct. 13, 2022
Citizen
Science
(CS)
is
a
research
approach
that
has
become
popular
in
recent
years
and
offers
innovative
potential
for
dialect
ornithology.
As
the
scepticism
about
CS
data
still
widespread,
we
analysed
development
of
3-year
project
based
on
song
Common
Nightingale
(Luscinia
megarhynchos)
to
share
best
practices
lessons
learned.
We
focused
scope,
individual
engagement,
spatial
distribution
species
misidentifications
from
recordings
generated
before
(2018,
2019)
during
COVID-19
outbreak
(2020)
with
smartphone
using
'Naturblick'
app.
The
number
nightingale
engagement
increased
steadily
peaked
season
pandemic.
13,991
were
by
anonymous
(64%)
non-anonymous
participants
(36%).
developed,
expanded
(from
Berlin
nationwide).
rates
low,
decreased
course
(10-1%)
mainly
affected
vocal
similarities
other
bird
species.
This
study
further
showed
community
quality
not
directly
dissemination
activities,
but
former
was
influenced
external
factors
latter
benefited
conclude
projects
apps
an
integrated
pattern
recognition
algorithm
are
well
suited
support
bioacoustic
Based
our
findings,
recommend
setting
up
over
long
term
build
engaged
which
generates
high
robust
scientific
conclusions.The
online
version
contains
supplementary
material
available
at
10.1007/s10336-022-02018-8.Gesellschaftliches
Engagement
und
Datenqualität:
Bewährte
Praktiken
Erfahrungen
aus
einem
bürgerwissenschaftlichen
Projekt
zum
Vogelgesang
ist
eine
Forschungsmethode,
die
den
letzten
Jahren
Bedeutung
gewonnen
hat
innovatives
Potenzial
für
Dialektforschung
der
Ornithologie
bietet.
Da
Vorbehalte
gegenüber
CS-Daten
immer
noch
weit
verbreitet
sind,
haben
wir
Entwicklung
eines
dreijährigen
CS-Projekts
Gesang
Nachtigall
analysiert,
um
bewährte
gewonnene
darzustellen.
Wir
fokussierten
uns
auf
Datenumfang,
das
individuelle
von
Teilnehmenden,
räumliche
Verteilung
Fehlbestimmungen
Arten
Aufnahmen,
vor
während
des
COVID-19-Ausbruchs
mit
Smartphone
unter
Verwendung
"Naturblick"
App
erstellt
wurden.
Die
Anzahl
Aufnahmen
Nachtigallgesängen
stiegen
stetig
erreichten
ihren
Höhepunkt
Saison
Pandemie.
13.991
wurden
anonymen
nicht-anonymen
Teilnehmenden
(36%)
erstellt.
Im
Laufe
Projekts
weitete
sich
(von
bundesweit).
Rate
war
gering,
ging
im
zurück
10%
1%)
wurde
hauptsächlich
gesanglichen
Ähnlichkeiten
anderen
Vogelarten
beeinflusst.
Unsere
Studie
zeigte
außerdem,
dass
gesellschaftliche
Datenqualität
nicht
direkt
durchgeführten
Disseminationsaktivitäten
beeinflusst
wurden,
sondern
erstere
externen
Faktoren
abhingen
letztere
profitierte.
schließen
daraus,
CS-Projekte,
Smartphone-Apps
integrierten
Mustererkennungsalgorithmus
verwenden,
gut
geeignet
bioakustische
Forschung
zu
unterstützen.
Auf
Grundlage
unserer
Ergebnisse
empfehlen
wir,
CS-Projekte
langfristig
etablieren,
aktive
Teilnehmergemeinschaft
(Community)
aufzubauen,
qualitativ
hochwertige
Daten
fundierte
wissenschaftliche
Schlussfolgerungen
generiert.
Biological Conservation,
Journal Year:
2023,
Volume and Issue:
285, P. 110239 - 110239
Published: Aug. 25, 2023
Culture
(information
or
behavior
acquired
by
social
learning
and
shared
members
of
a
community)
is
an
inheritance
system
that
can
contribute
to
the
designation
conservation
units
for
species
at
risk.
The
phenotypic
diversity
produced
culture
intrinsic
value
behaviorally-cohesive
communities
sets
may
be
suitable
candidate
units.
This
paper
considers
how
cultural
information
units,
in
particular
when
assessing
discreteness
and/or
evolutionarily
significance
potential
Call
song
dialects
are
particularly
useful
documenting
discreteness,
while
differences
seasonal
migrations,
if
consistent,
significant.
Distinctions
foraging
diet
suggest
evolutionary
but
it
important
show
these
not
environmentally
driven.
Social
play
also
used
discreteness.
In
some
cases,
clear
whether
behavioral
genetically
culturally
determined
this
matter
delineation
distinctions
heritable.
Genetic
correlations
indicate
stability
culturally-determined
transmission
processes
parallel
(e.g.,
mitochondrial
DNA
learned
from
mother).
explicit
use
data
currently
rare,
should
increase
as
more
detailed
extensive
databases
compiled
analytical
methods
developed.
Methods in Ecology and Evolution,
Journal Year:
2020,
Volume and Issue:
11(4), P. 524 - 531
Published: Feb. 3, 2020
Abstract
Audio
recording
devices
have
changed
significantly
over
the
last
50
years,
making
large
datasets
of
recordings
natural
sounds,
such
as
birdsong,
easier
to
obtain.
This
increase
in
digital
necessitates
an
high‐throughput
methods
analysis
for
researchers.
Specifically,
there
is
a
need
community
open‐source
that
are
tailored
varying
qualities
and
from
multiple
species
collected
nature.
We
developed
Chipper,
Python‐based
software
semi‐automate
both
segmentation
acoustic
signals
subsequent
their
frequencies
durations.
For
avian
recordings,
we
provide
widgets
best
determine
appropriate
thresholds
noise
syllable
similarity,
which
aid
calculating
note
measurements
determining
song
syntax.
In
addition,
generated
set
synthetic
songs
with
various
levels
background
test
Chipper's
accuracy,
repeatability
reproducibility.
Chipper
provides
effective
way
quickly
generate
quantitative,
reproducible
measures
birdsong.
The
cross‐platform
graphical
user
interface
allows
adjust
parameters
visualize
resulting
spectrogram
signal
segmentation,
providing
simplified
method
analysing
field
recordings.
streamlines
processing
audio
user‐friendly
tools
optimized
qualities.
Ultimately,
supports
use
citizen‐science
data
increases
feasibility
large‐scale
multi‐species
birdsong
studies.
Ecology and Evolution,
Journal Year:
2020,
Volume and Issue:
10(21), P. 12115 - 12128
Published: Oct. 6, 2020
Abstract
Many
animals
rely
on
vocal
communication
for
mating
advertisement,
territorial
displays,
and
warning
calls.
Advertisement
calls
are
species‐specific,
serve
as
a
premating
isolation
mechanism,
reinforce
species
boundaries.
Nevertheless,
there
is
great
deal
of
interspecific
variability
advertisement
Quantifying
the
among
individuals
within
across
critical
to
understand
call
evolution
boundaries,
may
build
foundation
further
research
in
animal
communication.
However,
collecting
large
volume
recordings
geographic
area
has
traditionally
posed
logistical
barrier.
We
used
data
from
continental‐scale
citizen
science
project
FrogID
investigate
spatial
temporal
patterns
characteristics
six
Australian
frog
species.
found
intraspecific
both
duration
peak
frequency
Using
resampling
methods,
we
show
that
was
related
number
recorded,
encompassed
by
those
individuals,
intra‐annual
time
difference
between
recordings.
conclude
order
accurately
variation,
or
“anuran
accents,”
sample
must
be
numerous
(
N
≥
20),
encompass
relative
species'
range,
collected
throughout
calling
season.
PLoS ONE,
Journal Year:
2021,
Volume and Issue:
16(6), P. e0253763 - e0253763
Published: June 28, 2021
Citizen
science
is
an
approach
that
has
become
increasingly
popular
in
recent
years.
Despite
this
growing
popularity,
there
still
widespread
scepticism
the
academic
world
about
validity
and
quality
of
data
from
citizen
projects.
And
although
might
be
great
potential,
a
rarely
used
field
bioacoustics.
To
better
understand
possibilities,
but
also
limitations,
we
here
evaluated
generated
project
on
nightingale
song
as
case
study.
We
analysed
quantity
recordings
made
non-standardized
way
with
smartphone
app
by
scientists
standardized
professional
equipment
researchers.
comparisons
between
two
approaches
among
user
types
to
gain
insights
into
temporal
recording
patterns,
data.
compare
deviation
acoustic
parameters
smartphones
devices
original
recordings,
conducted
playback
test.
Our
results
showed
depending
group,
produced
many
lot
valid
for
further
bioacoustic
research.
Differences
provided
expert
group
were
mainly
caused
technical
used—and
lesser
extent
themselves.
Especially
when
differences
spectral
are
investigated,
our
demonstrate
use
same
high-quality
calibrated
external
microphones
would
most
likely
improve
quality.
conclude
research
questions
may
carried
out
scientists.
want
encourage
researchers
get
more
involved
participatory
projects
harness
potential
science—and
share
scientific
curiosity
discoveries
directly
society.
Evolution,
Journal Year:
2022,
Volume and Issue:
76(6), P. 1139 - 1152
Published: April 11, 2022
Oscine
songbirds
have
been
an
important
study
system
for
social
learning,
particularly
because
their
learned
songs
provide
analog
human
languages
and
music.
Here,
we
propose
a
different
analogy:
from
evolutionary
perspective,
could
birds'
change
over
time
more
like
arrowheads
than
arias?
Small
improvements
to
bird's
song
can
lead
large
fitness
differences
its
singer,
which
make
analogous
tools
languages.
We
modify
model
of
tool
evolution
accommodate
cultural
birdsong:
each
learner
chooses
the
most
skilled
available
tutor
emulate,
is
likely
produce
inferior
copy
superior
one.
Similar
evolution,
our
suggests
that
larger
populations
birds
foster
in
time,
even
when
learners
restrict
pool
tutors
subset
individuals
network.
also
demonstrate
elements
be
simplified
instead
lost
after
population
bottlenecks
if
lower
quality
traits
are
easier
imitate
higher
ones.
show
these
processes
plausibly
generate
empirically
observed
patterns
some
traits,
predictions
about
types
shrink.
More
broadly,
aim
connect
modeling
approaches
used
nonhuman
systems,
moving
toward
cohesive
theoretical
framework
accounts
both
cognitive
demographic
processes.
Frontiers in Ecology and Evolution,
Journal Year:
2022,
Volume and Issue:
10
Published: Feb. 17, 2022
Open
science
approaches
enable
and
facilitate
the
investigation
of
many
scientific
questions
in
bioacoustics,
such
as
studies
on
temporal
spatial
evolution
song,
vocal
dialects.
In
contrast
to
previous
dialect
studies,
which
mostly
focused
songbird
species
with
a
small
repertoire,
here
we
studied
common
nightingale
(
Luscinia
megarhynchos
),
bird
complex
large
repertoire.
To
study
dialects
population
level
this
species,
used
recordings
from
four
datasets:
an
open
museum
archive,
citizen
platform,
project,
shared
academic
researchers.
We
conducted
date
largest
geographic
birdsong
including
1930
2019
13
European
countries,
geographical
coverage
2,652
km
linear
distance.
examine
stability
dialects,
catalog
1,868
song
types
nightingales
was
created.
Instead
found
high
degree
over
time
space
both,
sub-categories
occurrence
types.
For
example,
second
most
type
our
datasets
occurred
nine
decades
across
Europe.
case
study,
data
proved
be
equivalent,
some
cases
even
better,
than
by
research
group.
Based
results,
conclude
that
combination
diverse
particularly
useful
Journal of Zoology,
Journal Year:
2023,
Volume and Issue:
320(4), P. 271 - 281
Published: June 6, 2023
Abstract
Acoustic
communication
is
vital
to
the
survival
and
fitness
of
many
vertebrates.
While
successful
reliant
on
acoustic
signals
reaching
an
intended
receiver
maintaining
content
fidelity,
propagating
are
attenuated
by
environmental
factors
such
as
habitat
type.
The
adaptation
hypothesis
(AAH)
predicts
that
properties
selected
for
optimal
transmission
in
habitats
which
they
propagate.
To
date,
consistent
evidence
support
theory
lacking,
but
studies
have
typically
been
primarily
based
localized
datasets
with
small
sample
sizes.
Citizen
science
emerging
a
potential
means
overcome
challenges
associated
broad‐scale
sampling,
allowing
us
assess
validity
AAH
frogs
continental
scale.
We
analysed
male
advertisement
calls
674
individual
banjo
(
Limnodynastes
dorsalis
,
L.
dumerilii
interioris
terraereginae
)
from
across
their
range,
pairing
these
citizen
data
remotely
sensed
measures
complexity.
we
detected
considerable
variation
structure
within
among
frog
species,
this
was
not
strongly
correlated
Thus,
found
no
AAH.
However,
our
study
spanning
area
over
1.7
million
km
2
conducted
largest‐scale
test
contributing
global
understanding
signal
evolution.