Sensors,
Год журнала:
2023,
Номер
23(23), С. 9322 - 9322
Опубликована: Ноя. 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.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 15, 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
behaviors
such
as
foraging,
predator
avoidance
successfully
finding
mate.
However,
observed
recovery
after
snowmobiles
afternoons,
indicating
some
resilience
sporadic
events.
These
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
analyzing
large-scale
data
contributes
comprehensive
understanding
cumulative
multiple
stressors
communities.
Graphical
Sensors,
Год журнала:
2023,
Номер
23(23), С. 9322 - 9322
Опубликована: Ноя. 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.
