2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS),
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 6
Published: Feb. 24, 2024
This
study
is
about
building
a
Convolutional
Neural
Network
(CNN)
model
with
TensorFlow
to
tackle
the
challenge
of
quantifying
density
Capuchin
bird
calls
in
audio
clips.
The
data
used
recordings
calls,
so
we
need
identify
if
there
are
vocalizations
or
not.
main
parts
this
preparing
data,
designing
architecture,
and
comprehensive
training.
To
address
problem
start
by
collecting
labeling
dataset,
carefully
splitting
clips
marking
them
as
having
not
calls.
Feature
extraction
really
important,
involving
turning
raw
into
useful
features,
like
Mel-frequency
cepstral
coefficients
(MFCCs)
spectrograms
which
essential
for
training
CNN
architecture
designed
very
take
these
features
input
give
binary
classifications,
making
predictions
on
whether
given
clip
has
An
iterative
process
tuning
hyperparameters
optimizes
model's
performance,
it
learns
pick
up
details
effectively.
In
evaluation
phase,
accuracy
efficacy
measured
using
metrics
precision
recall,
F1-score,
validation
datasets.
If
work
successful,
will
provide
researchers
conservationists
powerful
tool
measure
call
helping
wildlife
monitoring
preservation
efforts.
Heredity,
Journal Year:
2023,
Volume and Issue:
130(5), P. 289 - 301
Published: April 5, 2023
Genetic
data
can
be
highly
informative
for
answering
questions
relevant
to
practical
conservation
efforts,
but
remain
one
of
the
most
neglected
aspects
species
recovery
plans.
Framing
genetic
with
reference
and
tractable
objectives
help
bypass
this
limitation
application
genetics
in
conservation.
Using
a
single-nucleotide
polymorphism
dataset
from
reduced-representation
sequencing
(DArTSeq),
we
conducted
assessment
remnant
populations
endangered
forty-spotted
pardalote
(Pardalotus
quadragintus),
songbird
endemic
Tasmania,
Australia.
Our
were
inform
strategies
diversity
estimate
effective
population
sizes
patterns
inter-population
movement
identify
management
units
habitat
restoration.
We
show
structure
two
small
on
mainland
Tasmania
as
'satellites'
larger
Bruny
Island
connected
by
migration.
relating
Although
our
results
do
not
indicate
immediate
need
genetically
manage
populations,
estimated
some
that
they
are
vulnerable
drift,
highlighting
urgent
implement
restoration
increase
size
conduct
monitoring.
discuss
how
used
interventions
assessing
contemporary
aspects,
valuable
information
planning
decision-making
produced
guide
actions
account
chances
concern.
Frontiers in Ecology and Evolution,
Journal Year:
2021,
Volume and Issue:
9
Published: July 30, 2021
The
diversity
of
animal
acoustic
signals
has
evolved
due
to
multiple
ecological
processes,
both
biotic
and
abiotic.
At
the
level
communities
signaling
animals,
these
processes
may
lead
diverse
outcomes,
including
partitioning
along
axes
(divergent
signal
parameters,
locations,
timing).
Acoustic
data
provides
information
on
organization,
dynamics
an
community,
thus
enables
study
change
turnover
in
a
non-intrusive
way.
In
this
review,
we
lay
out
how
community
bioacoustics
(the
structure
dynamics),
value
monitoring
conservation
landscapes
taxa.
First,
review
concepts
space,
their
effects
communities.
Next,
highlight
spatiotemporal
is
reflected
structure,
potential
presents
conservation.
As
passive
gains
popularity
worldwide,
propose
that
analytical
framework
promise
studying
response
entire
suites
species
(from
insects
large
whales)
rapid
anthropogenic
change.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: May 1, 2023
Abstract
Birdsong
is
a
longstanding
model
system
for
studying
evolution
and
biodiversity.
Here,
we
collected
analyzed
high
quality
song
recordings
from
seven
species
in
the
family
Estrildidae
.
We
measured
acoustic
features
of
syllables
then
used
dimensionality
reduction
machine
learning
classifiers
to
identify
that
accurately
assigned
species.
Species
differences
were
captured
by
first
3
principal
components,
corresponding
basic
frequency,
power
distribution,
spectrotemporal
features.
identified
underlying
classification
accuracy.
found
fundamental
mean
spectral
flatness,
syllable
duration
most
informative
identification.
Next,
tested
whether
specific
species’
songs
predicted
phylogenetic
distance.
significant
signal
frequency
features,
but
not
distribution
or
Results
suggest
are
more
constrained
genetics
than
other
best
identifying
recordings.
The
absence
suggests
these
labile,
reflecting
processes
individual
recognition.
Ibis,
Journal Year:
2023,
Volume and Issue:
165(4), P. 1318 - 1330
Published: March 20, 2023
Bird
song
is
a
culturally
transmitted
behavioural
trait
strongly
tied
to
territory
defence
and
mate
attraction
in
oscine
passerines.
Divergent
variations
can
appear
different
populations
of
the
same
species
as
consequence
multiple
factors
generating
geographically
distinct
songs
also
termed
dialects.
Most
studies
show
that
males
react
more
towards
local
dialects,
potentially
by‐product
evolutionary
divergence
between
populations,
although
other
hypotheses
have
been
suggested.
In
addition,
females
are
hypothesized
stronger
responses
this
may
lead
greater
reproductive
success.
context,
become
prezygotic
barrier
for
reproduction.
The
Yellow
Cardinal
Gubernatrix
cristata
an
endangered
South
American
thorny
shrubland
has
suffered
from
population
fragmentation
due
habitat
destruction
its
capture
illegal
wildlife
trade.
Genetically
groups
sing
their
own
dialect
studied
context
conservation
programme
intends
restore
preserve
natural
by
releasing
individuals
recovered
pet
market
back
into
area
origin.
Although
dialects
identified,
it
remains
unknown
whether
there
vocal
recognition
populations.
study,
we
performed
playback
experiments
two
found
male
Cardinals
reacted
dialect,
foreign
was
still
recognized.
This
information
important
not
always
possible
genetically
assign
individual
geographical
origin
before
release,
which
could
contribute
secondary
contact
scenario
where
play
critical
role
settlement
Ornithological Applications,
Journal Year:
2021,
Volume and Issue:
123(2)
Published: April 9, 2021
Abstract
Conspecific
presence
can
indicate
the
location
or
quality
of
resources,
and
animals
settling
near
conspecifics
often
gain
fitness
benefits.
This
result
in
adaptive
conspecific
attraction
during
breeding
habitat
selection
as
demonstrated
numerous
terrestrial,
territorial
birds.
There
is
growing
interest
using
simulated
social
cues
(e.g.,
decoys,
broadcasted
vocalizations)
to
manage
bird
distributions,
yet
it
remains
unclear
when
this
approach
likely
succeed.
We
reviewed
published
studies
evaluate
whether
strength
terrestrial
birds
mediated
by
characteristics
species
(life
history
traits),
timing
duration),
sites
quality),
how
was
measured.
identified
31
experiments
that
compared
settlement
between
treatment
control
sites.
then
used
phylogenetically
controlled
meta-regression
assess
impacts
19
moderators
on
settlement.
Nearly
all
included
these
were
migratory
passerines,
generally
had
a
strong,
positive
influence
their
decisions,
odds
site
occupancy
3.12×
(95%
CI:
0.81–11.69)
greater
relative
Within
group,
evolutionarily
conserved
with
≥25.5%
5.1%–65.4%)
variance
effects
explained
phylogenetic
relatedness.
However,
we
found
no
evidence
any
covariates
influenced
response
cues,
posit
stems
from
limited
research
specifically
designed
identify
mechanisms
mediating
attraction.
therefore
developed
agenda
provides
framework
for
testing
mechanistic
hypotheses
regarding
cue
characteristics,
traits,
spatial
contexts
may
mediate
conspecifics.
Evaluating
will
greatly
advance
field
helping
managers
understand
when,
where,
why
simulating
be
enhance
populations
are
conservation
concern.
Frontiers in Ecology and the Environment,
Journal Year:
2022,
Volume and Issue:
20(5), P. 319 - 326
Published: March 22, 2022
Range
maps
are
critical
for
understanding
and
conserving
biodiversity,
but
current
range
often
omit
important
context,
negating
the
dynamism
variation
of
populations,
environmental
conditions,
ecological
attributes
to
functionally
oversimplify
biogeography
theory.
Moreover,
gross
underrepresentation
spatial
heterogeneity
throughout
a
species
distribution
limits
utility
in
decision
making
community
engagement,
weakening
applications
disciplines
outside
natural
sciences.
As
climate
change
other
anthropogenic
factors
outpace
our
their
impacts,
robust
informative
will
be
anticipating
how
changes
affect
coupled
ecological,
evolutionary,
social
processes.
Here,
we
highlight
expansion
“flat”
by
adding
“texture”,
which
can
represent
myriad
conditions
that
spatially
explicit
across
range.
Using
examples
variations
(in
human
pressures,
presence
competitor
species,
extent
Indigenous
lands)
as
texture,
demonstrate
address
broader
questions
promote
enhanced
capacity
interdisciplinary
research.
Frontiers in Psychology,
Journal Year:
2021,
Volume and Issue:
12
Published: June 4, 2021
Social
learning
of
vocalizations
is
integral
to
song
inheritance
in
oscine
passerines.
However,
other
factors,
such
as
genetic
and
the
developmental
environment,
can
also
influence
phenotype.
The
relative
contributions
these
factors
have
a
strong
on
evolution
may
affect
important
evolutionary
processes
speciation.
are
well-described
only
for
few
species
likely
vary
with
taxonomy.
Using
archived
data,
we
examined
patterns
domestic
population
Java
sparrows
(
Lonchura
oryzivora
),
some
which
had
been
cross-fostered.
Six-hundred
seventy-six
songs
from
73
birds
were
segmented
classified
into
notes
note
subtypes
N
=
22,972),
range
acoustic
features
measured.
Overall,
found
evidence
cultural
structure
characteristics
notes;
sons’
syntax
composition
similar
that
their
social
fathers
not
influenced
by
relatedness.
For
vocal
consistency
subtypes,
measure
performance,
there
was
no
apparent
or
inheritance,
but
both
age
environment
consistency.
These
findings
suggest
high
fidelity
material,
i.e.,
characteristics,
could
allow
novel
variants
be
preserved
accumulate
over
generations,
implications
conservation.
differences
performance
do
show
links
instead
potentially
serving
condition
dependent
signals.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2021,
Volume and Issue:
unknown
Published: Oct. 31, 2021
Avian
vocal
individuality
carries
information
that
can
be
utilized
as
an
alternative
to
physical
tagging
of
individuals.
However,
it
is
rarely
used
in
conservation
tasks
despite
rapidly-expanding
use
passive
acoustic
monitoring
techniques.
Reliable
individual
recognizers
and
accurate
quantifiers
population
size
remain
elusive,
which
discourages
the
for
monitoring,
wildlife
management,
ecological
research.
We
propose
a
neuro-fuzzy
framework
allows
discrimination
individuals
by
their
calls,
discovery
unexpected
set
recordings,
estimation
using
solely
sound.
Our
method,
tested
data
collected
wild,
rapid
identification
even
censusing
without
prior
from
recorded
achieve
this
integrating
fuzzy
classification
clustering
methodology
(LAMDA)
into
Convolutional
Deep
Clustering
Neural
Network
(CDCN).
approach
will
benefit
conservation,
paves
way
towards
robust
species
whose
handling
time-consuming,
culturally
or
ethically
problematic,
logistically
difficult.