PeerJ,
Год журнала:
2025,
Номер
13, С. e19204 - e19204
Опубликована: Апрель 4, 2025
As
climate
change
and
anthropogenic
activities
continue
to
impact
cetacean
species,
it
becomes
increasingly
urgent
efficiently
monitor
populations.
Continuing
technological
advances
enable
innovative
research
methodologies
which
broaden
monitoring
approaches.
In
our
study,
we
utilized
an
autonomous
wave
glider
equipped
with
acoustic
environmental
sensors
assess
delphinid
species
presence
on
the
east
Florida
shelf
compared
this
approach
traditional
marine
mammal
methods.
Acoustic
recordings
were
analyzed
detect
along
track
in
conjunction
subsurface
variables
such
as
temperature,
salinity,
current
velocity,
chlorophyll-a
concentration.
Additionally,
occurrences
of
soniferous
fish
noise
also
documented.
These
in-situ
incorporated
into
generalized
additive
models
(GAMs)
identify
predictors
presence.
The
top-performing
GAM
found
that
location,
sound
pressure
level
(SPL),
concentration
explained
50.8%
deviance
dataset.
use
satellite
absence
derived
speed
heading,
44.8%
Our
reveals
explanatory
power
variables,
measurable
platforms
gliders,
drivers
habitat
characterization.
Brain Behavior and Evolution,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Май 16, 2024
Noise
associated
with
human
activities
in
aquatic
environments
can
affect
the
physiology
and
behavior
of
species
which
may
have
consequences
at
population
ecosystem
levels.
Low
frequency
sound
is
particularly
stressful
for
fish,
since
it
an
important
factor
predator-prey
interactions.
Even
though
behavioral
physiological
studies
been
conducted
to
assess
effects
on
fish
species,
neurobiological
are
still
lacking.
Animals,
Год журнала:
2025,
Номер
15(5), С. 714 - 714
Опубликована: Март 2, 2025
Anthropogenic
noise
pollution
is
increasingly
acknowledged
as
a
major
threat
to
marine
ecosystems,
especially
for
sound-sensitive
species,
such
the
large
yellow
croaker
(Larimichthys
crocea).
While
effects
of
underwater
on
fish
behavior
and
physiology
have
been
well-documented,
its
influence
oxygen
metabolism
across
varying
temperatures
remains
poorly
understood.
This
study
examines
impact
boat
consumption
rate
(OCR)
juvenile
croakers
at
different
temperatures,
key
factor
in
their
metabolic
activity.
The
generated
by
fishing
spans
broad
frequency
range,
with
peak
spectrum
level
130
dB
re
1
µPa
low
frequencies
between
100
200
Hz.
Our
findings
reveal
that
significantly
elevates
OCR
fish,
mass-specific
increasing
65.0%,
35.3%,
28.9%
18
°C,
25
30
respectively.
Similarly,
individual
rose
60.7%,
17.1%
these
temperatures.
These
results
demonstrate
triggers
stress
response
resulting
heightened
demands
seasonal
conditions.
Notably,
respiratory
most
significant
lower
In
aquatic
environments
stable
levels,
noise-induced
rise
could
lead
hypoxia
provoke
maladaptive
behavioral
changes
fish.
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2025,
Номер
10(1)
Опубликована: Янв. 1, 2025
Abstract
Silverdrum
fish
is
popular
among
farmers
because
of
its
fast
growth
and
easy
rearing,
so
it
important
to
study
the
optimization
method
artificial
breeding
strategy
silverdrum
stock.
In
this
study,
according
requirements
environment
silver
scat
experience
experts,
flow
rate,
water
depth,
temperature
light
market
are
key
factors
model
breeding,
multi-objective
algorithm
NSGA-II
selected
as
main
model,
intersection
operator
variational
in
improved,
then
SDR
proposed
a
substitute
for
Pareto
dominance
relationship
enhance
solving
ability
algorithm.
The
was
found
be
most
suitable
drum
when
temperature,
depth
duration
were
set
22.5℃,
0.21m/s,
1.7m
15h,
respectively.
results
experiments
showed
that
gonadal
development
parents
optimized
group
better
than
those
original
group,
survival
rates
juveniles
better,
effect
germplasm
resources
improved.
This
can
provide
theoretical
basis
technical
support
decision-making
improvement
stock
future,
also
lays
data
foundation
establishment
farm.
PeerJ,
Год журнала:
2025,
Номер
13, С. e19204 - e19204
Опубликована: Апрель 4, 2025
As
climate
change
and
anthropogenic
activities
continue
to
impact
cetacean
species,
it
becomes
increasingly
urgent
efficiently
monitor
populations.
Continuing
technological
advances
enable
innovative
research
methodologies
which
broaden
monitoring
approaches.
In
our
study,
we
utilized
an
autonomous
wave
glider
equipped
with
acoustic
environmental
sensors
assess
delphinid
species
presence
on
the
east
Florida
shelf
compared
this
approach
traditional
marine
mammal
methods.
Acoustic
recordings
were
analyzed
detect
along
track
in
conjunction
subsurface
variables
such
as
temperature,
salinity,
current
velocity,
chlorophyll-a
concentration.
Additionally,
occurrences
of
soniferous
fish
noise
also
documented.
These
in-situ
incorporated
into
generalized
additive
models
(GAMs)
identify
predictors
presence.
The
top-performing
GAM
found
that
location,
sound
pressure
level
(SPL),
concentration
explained
50.8%
deviance
dataset.
use
satellite
absence
derived
speed
heading,
44.8%
Our
reveals
explanatory
power
variables,
measurable
platforms
gliders,
drivers
habitat
characterization.
