Sensors,
Journal Year:
2023,
Volume and Issue:
23(23), P. 9322 - 9322
Published: Nov. 22, 2023
Data
are
needed
to
assess
the
relationships
between
urbanization
and
biodiversity
establish
conservation
priorities.
However,
many
of
these
difficult
fully
using
traditional
research
methods.
To
address
this
gap
evaluate
new
acoustic
sensors
associated
data,
we
conducted
a
multimethod
analysis
in
rapidly
urbanizing
county:
Greenville,
South
Carolina,
USA.
We
audio
recordings
at
25
points
along
development
gradient.
At
same
locations,
used
refugia
tubes,
visual
assessments,
an
online
database.
Analysis
focused
on
species
identification
both
data
each
point
trail
determine
herpetofauna
indices
(as
proxies
for
biodiversity)
environmental
gradient
land
use
cover.
Our
suggests
multitude
different
sampling
methods
be
conducive
completion
more
comprehensive
occupancy
measure.
Moving
forward,
protocol
can
potentially
useful
establishment
effective
wildlife
move
toward
future
policies
efforts
concerning
urbanization,
forest
fragmentation,
natural,
particularly
forested,
ecosystems.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
148, P. 110061 - 110061
Published: March 6, 2023
Monitoring
biodiversity
can
be
time
consuming
and
costly.
Automated
recording
units
(ARUs)
have
rapidly
emerged
as
an
efficient
cost-effective
tool
for
measuring
biodiversity.
Acoustic
indices
are
one
output
from
recordings
ARUs
that
quantified
to
serve
ecological
indicator
However,
there
is
a
lack
of
guidance
on
what
acoustic
filters
apply
these
when.
To
address
this
gap,
we
collected
data
study
locations
spanning
temperate
tropical
forests,
agricultural
grasslands
croplands,
peri-urban
development.
We
applied
80,
500,
1000,
2000
Hz
when
calculating
the
different
indices.
In
addition,
considered
effect
landscape
context,
road
noise,
season,
elevation
seven
most
commonly
used
with
frequency
filters.
found
two
indices,
Diversity
Index
(ADI)
Evenness
(AEI),
were
sensitive
filtering,
changing
significantly
between
80
1000
filter
across
covariates.
Complexity
(ACI),
however,
remained
consistent
These
results
suggest
using
should
cognizant
context
location
season
period
ADI
AEI.
ACI
more
generously
since
it
not
filtering.
effective
biodiversity,
but
ensure
proper
reporting
ability
compare
studies,
guidelines
appropriate
filtering
developed.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(12), P. 5135 - 5135
Published: June 17, 2024
Urban
road
ecology
focuses
on
the
reciprocal
interactions
between
urban
construction
and
ecological
environment,
aiming
to
provide
valuable
insights
into
sustainable
construction.
The
study
of
has
established
a
comprehensive
research
framework
since
early
20th
century,
with
emerging
as
its
sub-discipline
that
emphasizes
strategic
planning
roads
internal
dynamics
within
ecosystems.
In
order
demonstrate
broader
focus
development
prospects
ecology,
well
explore
distinguishing
features
compared
traditional
this
conducted
bibliometric
analysis
using
CiteSpace
software
version
6.2.R7
based
Web
Science
(WOS)
database
for
literature
in
last
30
years.
reflected
current
state
field
across
three
dimensions:
collaborative
analysis,
co-citation
keyword
analysis.
results
revealed
scarcity
key
terms
publications
1993
2010,
followed
by
an
exponential
surge
activities
after
2010.
However,
both
analyses
indicate
lack
long-term,
in-depth
area,
highlighting
absence
unified
system.
On
basis,
paper
presents
expectations
future
briefly
discusses
limitations
study.
Bioacoustics,
Journal Year:
2024,
Volume and Issue:
33(2), P. 203 - 220
Published: March 3, 2024
Passive
acoustic
monitoring
(PAM)
is
a
sampling
technique
that
has
gained
increasing
popularity
in
the
field
of
wildlife
and
research
since
it
allows
for
non-invasive
cost-effective
collection
information.
Retrieving
biological
information
from
PAM
recordings
can
often
involve
time-consuming
sound
annotation
methodologies,
but
advent
indices
help
expedite
this
process.
While
correlations
between
species
richness
have
been
observed
variety
ecological
contexts,
these
relationships
faulter
environments
with
increased
vehicular
noise.
Here,
we
assessed
direct
impact
noise
on
nine
through
controlled
manipulation
within
computer-generated
bird
assemblage
soundscapes.
Our
results
demonstrate
recording
distance
roadsides
number
passing
cars
per
minute
notable
persistent
impacts
index
values,
magnitude
effect
varies
across
indices.
Four
demonstrated
greater
resilience
to
interference
may
therefore
be
better
suited
developed
areas:
Bioacoustic
Index,
Acoustic
Complexity
Diversity
Evenness
Index.
By
contributing
collective
understanding
behaviours
under
anthropogenic
pollution,
hope
inform
their
application
human-developed
contexts.
Biodiversity Science,
Journal Year:
2023,
Volume and Issue:
31(1), P. 22369 - 22369
Published: Jan. 1, 2023
Background:
Many
animals
such
as
mammals,
birds,
amphibians,
fishes
and
arthropods,
produce
sounds
when
moving,
communicating
or
sensing
their
environment.Building
upon
the
rich
legacies
of
bioacoustics
animal
communication,
acoustic
properties
from
soundscape
are
used
to
monitor
assess
changes
in
communities
related
environments.During
past
decade,
many
indices
have
been
developed
can
be
divided
into
two
categories,
namely
alpha
beta
indices.Alpha
reflect
information
recording
while
focus
on
comparison
differences
between
different
recordings.There
far
more
empirical
studies
application
than
indices.However,
patterns
contradictory.Before
applied
widely,
it
is
necessary
understand
better
how
well
they
environments
monitored.Aims:
To
make
general
inferences
mixed
evidence,
associations
animaldiversity,
habitat
quality,
activity
were
quantitatively
reviewed
based
meta-analytic
approach.Methods:
Both
key
word
searches
cross-reference
conducted,
2,845
pairs
data
other
variables
collected
136
references.For
which
50
times,
direction
was
tested
by
sign
test.Then,
maximum
likelihood
method
employed
estimate
probability
density
function
summary
effect
(i.e.,
correlation
coefficient
index
variable).Lastly,
coefficients
calculated
function.
Results
&
Conclusion:Eight
commonly
involved
study,
complexity
(ACI),
entropy
(H)
(including
closely
indices:
temporal
spectral
index),
bioacoustic
(BI),
normalized
difference
(NDSI),
diversity
(ADI),
evenness
(AEI),
richness
(AR),
number
peaks
(NP).Among
these
indices,
ACI
most
frequently
positively
with
diversity,
activity.The
highest
association
appeared
at
relationship
terrestrial
activity,
mean
size
0.53.Besides,
always
trivial,
sizes
generally
less
0.30.The
only
significantly
negative
occurred
AEI
-0.18.The
robustness
main
results
thoroughly
analyzed,
strengths
weaknesses
monitoring
through
also
discussed.This
study
expected
provide
a
guideline
for
selection
future
research.
Journal of Applied Ecology,
Journal Year:
2023,
Volume and Issue:
61(2), P. 340 - 350
Published: Dec. 14, 2023
Abstract
Noise
pollution
poses
a
significant
threat
to
ecosystems
worldwide,
disrupting
animal
communication
and
causing
cascading
effects
on
biodiversity.
In
this
study,
we
focus
the
impact
of
snowmobile
noise
avian
vocalizations
during
non‐breeding
winter
season,
less‐studied
area
in
soundscape
ecology.
We
developed
pipeline
relying
deep
learning
methods
detect
applied
it
large
acoustic
monitoring
dataset
collected
Yellowstone
National
Park.
Our
results
demonstrate
effectiveness
detection
model
identifying
reveal
an
association
between
passage
changes
vocalization
patterns.
Snowmobile
led
decrease
frequency
bird
mornings
evenings,
potentially
affecting
pre‐breeding
behaviours
such
as
foraging,
predator
avoidance
successfully
finding
mate.
However,
observed
recovery
after
snowmobiles
afternoons,
indicating
some
resilience
sporadic
events.
Synthesis
applications
:
findings
emphasize
need
consider
impacts
season
provide
valuable
insights
for
natural
resource
managers
minimize
disturbance
protect
critical
habitats.
The
approach
presented
study
offers
efficient
accurate
means
analysing
large‐scale
data
contributes
comprehensive
understanding
cumulative
multiple
stressors
communities.