Impact of multiple-factors on health and infections in marine mussels (Perumytilus purpuratus) inhabiting contaminated sites in the Humboldt Current System
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 21, 2025
Marine
organisms
are
increasingly
exposed
to
a
combination
of
environmental
stressors.
However,
most
studies
focus
on
single
factors,
limiting
our
understanding
real-world
ecological
challenges.
This
study
investigates
the
combined
effects
metal
pollution,
parasites,
pathogens,
and
variables
health
Perumytilus
purpuratus,
mussel
species
inhabiting
coast
northern
Chile.
The
upwelling
system
in
this
area,
with
low
water
turnover,
creates
unique
environment
which
how
multiple
factors
interact.
Mussels
were
sampled
from
several
sites
affected
by
discharges.
Analyses
revealed
that
individuals
central
exhibited
highest
levels
tissue
lesions.
These
impacts
strongly
associated
elevated
pH,
salinity,
cadmium
copper
concentrations
water.
Findings
emphasise
synergistic
chemical
abiotic
underscoring
importance
incorporating
interactions
into
monitoring
programmes.
Such
an
approach
can
enhance
predictions
responses,
inform
conservation
efforts,
guide
policies
addressing
global
challenges
like
aquatic
pollution.
Our
provides
critical
insights
threaten
ecosystems,
offering
framework
for
more
comprehensive
assessment.
Язык: Английский
Efficiency of the green mussel, Perna viridis (Linnaeus, 1758) to bioremediate total heterotrophic bacteria, Vibrio and Plankton in the culture medium of the tiger shrimp Penaeus monodon pond system
Aquaculture International,
Год журнала:
2025,
Номер
33(4)
Опубликована: Март 31, 2025
Язык: Английский
A Bayesian overhaul of thermal tolerance landscape models: Predicting ectotherm lethality buildup and survival amid heatwaves
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 26, 2024
ABSTRACT
1.
In
the
face
of
escalating
heatwaves,
accurately
forecasting
ectotherm
population
mortality
is
a
pressing
ecological
challenge.
Current
Thermal
Tolerance
Landscape
(TTL)
models,
while
surpassing
single-threshold
metrics
by
incorporating
individual
survival
times,
are
constrained
frequentist
regression
parametrization
reliant
on
constant-temperature
experiments,
omitting
probabilistic
outcomes.
2.
This
study
addresses
these
limitations
pioneering
application
Approximate
Bayesian
Computation-Sequential
Monte
Carlo
(ABC-SMC)
to
analyze
data
from
Baltic
Mytilus
mussels
subjected
both
microcosm
(constant
temperature)
and
mesocosm
(dynamic
heatwave
regimes.
3.
The
ABC-SMC
yields
predictions
lethality
buildup
trajectories,
closely
aligned
with
observed
across
experimental
conditions.
Informed
more
realistic
dynamic
data,
TTL
model
predicts
local
mussel
resilience
against
most
extreme
summer
heatwaves
projected
for
this
century,
albeit
considerations
sublethal
impacts
potential
recruitment
declines.
4.
Our
approach
can
enhance
predictive
accuracy
concerning
sensitivity
key
marine
populations
amidst
intensifying
addressing
urgent
need
accurate
modeling
tools
inform
conservation
practices
ecosystem
management,
ultimately
aiding
in
preservation
biodiversity.
Язык: Английский