Fish and Fisheries,
Journal Year:
2019,
Volume and Issue:
20(3), P. 501 - 517
Published: March 1, 2019
Abstract
An
amalgam
of
empirical
data
from
laboratory
and
field
studies
is
needed
to
build
robust,
theoretical
models
climate
impacts
that
can
provide
science‐based
advice
for
sustainable
management
fish
shellfish
resources.
Using
a
semi‐systematic
literature
review,
Gap
Analysis
multilevel
meta‐analysis,
we
assessed
the
status
knowledge
on
direct
effects
change
37
high‐value
species
targeted
by
European
fisheries
aquaculture
sectors
operating
in
marine
freshwater
regions.
Knowledge
potential
change‐related
drivers
(single
or
combined)
several
responses
(vital
rates)
across
four
categories
(exploitation
sector,
region,
life
stage,
species),
was
considerably
unbalanced
as
well
biased,
including
low
number
(a)
examining
interaction
abiotic
factors,
(b)
offering
opportunities
assess
local
adaptation,
(c)
targeting
lower‐value
species.
The
meta‐analysis
revealed
projected
warming
would
increase
mean
growth
rates
mollusks
significantly
elevate
metabolic
fish.
Decreased
levels
dissolved
oxygen
depressed
metabolism
coherent
groups
(e.g.,
small
pelagics,
etc.)
while
expected
declines
pH
reduced
most
increased
mortality
bivalves.
meta‐analytical
results
were
influenced
study
design
moderators
season).
Although
meta‐analytic
tools
have
become
increasingly
popular,
when
performed
limited
available
data,
these
analyses
cannot
grasp
relevant
population
effects,
even
with
long
history
study.
We
recommend
actions
overcome
shortcomings
improve
mechanistic
(cause‐and‐effect)
projections
shellfish.
Global Change Biology,
Journal Year:
2025,
Volume and Issue:
31(1)
Published: Jan. 1, 2025
ABSTRACT
Climate
change
can
impact
marine
ecosystems
through
many
biological
and
ecological
processes.
Ecosystem
models
are
one
tool
that
be
used
to
simulate
how
the
complex
impacts
of
climate
may
manifest
in
a
warming
world.
In
this
study,
we
an
end‐to‐end
Atlantis
ecosystem
model
compare
contrast
effects
climate‐driven
species
redistribution
projected
temperature
from
three
separate
on
key
commercial
importance
California
Current
Ecosystem.
Adopting
scenario
analysis
approach,
measure
differences
biomass,
abundance,
weight
at
age
pelagic
demersal
among
six
simulations
for
years
2013–2100
tracked
implications
those
changes
spatially
defined
fishing
fleets.
The
varied
their
use
forced
distribution
shifts,
time‐varying
projections
ocean
warming,
or
both.
general,
abundance
biomass
coastal
like
Pacific
sardine
(
Sardinops
sagax
)
northern
anchovy
Engraulis
mordax
were
more
sensitive
change,
while
groups
Dover
sole
Microstomus
pacificus
experienced
smaller
due
counteracting
spatial
metabolic
warming.
Climate‐driven
shifts
resulting
food
web
interactions
influential
than
end‐of‐century
patterns.
Spatial
fisheries
catch
did
not
always
align
with
targeted
species.
This
mismatch
is
likely
into
out
areas
emphasizes
explicit
understanding
both
dynamics.
We
illuminate
important
pathways
which
acts
context
end
discussion
potential
management
future
directions
research
using
models.
PLoS ONE,
Journal Year:
2019,
Volume and Issue:
14(7), P. e0217711 - e0217711
Published: July 24, 2019
Major
ecological
realignments
are
already
occurring
in
response
to
climate
change.
To
be
successful,
conservation
strategies
now
need
account
for
geographical
patterns
traits
sensitive
change,
as
well
threats
species-level
diversity.
As
part
of
an
effort
provide
such
information,
we
conducted
a
vulnerability
assessment
that
included
all
anadromous
Pacific
salmon
and
steelhead
(Oncorhynchus
spp.)
population
units
listed
under
the
U.S.
Endangered
Species
Act.
Using
expert-based
scoring
system,
ranked
20
attributes
28
5
additional
units.
Attributes
captured
biological
sensitivity,
or
strength
linkages
between
each
listing
unit
present
climate;
exposure,
magnitude
projected
change
local
environmental
conditions;
adaptive
capacity,
ability
modify
phenotypes
cope
with
new
climatic
conditions.
Each
was
then
assigned
one
four
categories.
Units
most
vulnerable
overall
were
Chinook
(O.
tshawytscha)
California
Central
Valley,
coho
kisutch)
southern
Oregon,
sockeye
nerka)
Snake
River
Basin,
spring-run
interior
Columbia
Willamette
Basins.
We
identified
similar
profiles
using
hierarchical
cluster
analysis.
Life
history
characteristics,
especially
freshwater
estuary
residence
times,
interplayed
gradations
exposure
from
south
north
coastal
regions
generate
landscape-level
within
species.
Nearly
faced
high
exposures
increases
stream
temperature,
sea
surface
ocean
acidification,
but
other
aspects
peaked
particular
regions.
Anthropogenic
factors,
migration
barriers,
habitat
degradation,
hatchery
influence,
have
reduced
capacity
populations.
Enhancing
is
essential
mitigate
increasing
threat
Collectively,
these
results
framework
support
recovery
planning
considers
impacts
on
majority
West
Coast
salmonids.
Behavioral Ecology,
Journal Year:
2019,
Volume and Issue:
30(6), P. 1501 - 1511
Published: June 16, 2019
Anthropogenic
noise
is
a
recognized
global
pollutant,
affecting
wide
range
of
nonhuman
animals.
However,
most
research
considers
only
whether
pollution
has
an
impact,
ignoring
that
individuals
within
species
or
population
exhibit
substantial
variation
in
responses
to
stress.
Here,
we
first
outline
how
intrinsic
characteristics
(e.g.,
body
size,
condition,
sex,
and
personality)
extrinsic
factors
environmental
context,
repeated
exposure,
prior
experience,
multiple
stressors)
can
affect
stressors.
We
then
present
the
results
systematic
search
anthropogenic-noise
literature,
identifying
articles
investigated
intraspecific
animals
noise.
This
reveals
fewer
than
10%
(51
589)
examining
impacts
test
experimentally
for
responses;
those
do,
more
75%
report
significant
effects.
assess
these
existing
studies
determine
current
scope
findings
to-date,
provide
suggestions
good
practice
design,
implementation,
reporting
robust
experiments
this
field.
close
by
explaining
understanding
anthropogenic
crucial
improving
manage
captive
animals,
monitor
wild
populations,
model
responses,
mitigate
effects
on
wildlife.
Our
aim
stimulate
greater
knowledge
effective
management
harmful
consequences
pollutant.
Frontiers in Marine Science,
Journal Year:
2020,
Volume and Issue:
7
Published: July 29, 2020
Spatial
distributions
of
marine
fauna
are
determined
by
complex
interactions
between
environmental
conditions
and
animal
behaviors.
As
climate
change
leads
to
warmer,
more
acidic,
less
oxygenated
oceans,
species
shifting
away
from
their
historical
distribution
ranges,
these
trends
expected
continue
into
the
future.
Correlative
Species
Distribution
Models
(SDMs)
can
be
used
project
future
habitat
extent
for
species,
with
many
different
statistical
methods
available.
However,
it
is
vital
assess
how
behave
under
novel
before
using
models
management
advice,
consider
whether
projections
based
on
techniques
biologically
reasonable.
In
this
study,
we
built
SDMs
adults
larvae
two
ecologically
important
pelagic
fishes
in
California
Current
System:
Pacific
sardine
(Sardinops
sagax)
northern
anchovy
(Engraulis
mordax).
We
five
SDM
methods,
ranging
simple
(thermal
niche
model)
(artificial
neural
networks).
Our
results
show
that
some
trained
data
collected
2003
2013
lost
substantial
predictive
skill
when
applied
observations
recent
years,
ocean
temperatures
associated
a
heatwave
were
outside
range
measurements.
This
decrease
was
particularly
apparent
adult
sardine,
which
showed
non-stationary
relationships
catch
locations
sea
surface
temperature
through
time.
While
shifted
markedly
during
heatwave,
largely
maintained
spatiotemporal
distributions.
suggest
correlative
environment
become
unreliable
anomalous
conditions.
Understanding
underlying
physiology
therefore
essential
construction
robust
rapidly
changing
environments.
Developing
offer
skillful
predictions
such
as
anchovy,
migratory
include
separate
sub-stocks,
may
challenging.
Frontiers in Marine Science,
Journal Year:
2020,
Volume and Issue:
7
Published: Oct. 16, 2020
Considerable
effort
is
being
deployed
to
predict
the
impacts
of
climate
change
and
anthropogenic
activities
on
ocean's
biophysical
environment,
biodiversity,
natural
resources
better
understand
how
marine
ecosystems
provided
services
humans
are
likely
explore
alternative
pathways
options.
We
present
an
updated
version
EcoOcean
(v2),
a
spatial-temporal
ecosystem
modelling
complex
global
ocean
that
spans
food-web
dynamics
from
primary
producers
top
predators.
Advancements
include
enhanced
ability
reproduce
by
linking
species
productivity,
distributions,
trophic
interactions
worldwide
fisheries.
The
platform
used
simulate
past
future
scenarios
change,
where
we
quantify
configurations
ecological
model,
responses
climate-change
scenarios,
additional
fishing.
Climate-change
obtained
two
Earth-System
Models
(ESMs,
GFDL-ESM2M
IPSL-CMA5-LR)
contrasting
emission
(RCPs
2.6
8.5)
for
historical
(1950-2005)
(2006-2100)
periods.
Standardized
indicators
biomasses
selected
groups
compare
simulations.
Results
show
trajectories
sensitive
EcoOcean,
yield
moderate
differences
when
looking
at
larger
groups.
Ecological
also
environmental
drivers
ESM
outputs
RCPs,
spatial
variability
more
severe
changes
IPSL
RCP
8.5
used.
Under
non-fishing
configuration,
organisms
decreasing
trends,
while
smaller
mixed
or
increasing
results.
Fishing
intensifies
negative
effects
predicted
again
stronger
under
8.5,
which
results
in
biomass
declines
already
losing
dampened
positive
those
increasing.
Several
win
become
losers
combined
impacts,
only
few
(small
benthopelagic
fish
cephalopods)
projected
cumulative
impacts.
v2
can
contribute
quantification
impact
assessments
multiple
stressors
plausible
ocean-based
solutions
prevent,
mitigate
adapt
change.
ICES Journal of Marine Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 22, 2024
Abstract
As
climate
stressors
are
impacting
marine
ecosystems
and
fisheries
across
the
world,
ecosystem
models
that
incorporate
environmental
variables
increasingly
used
to
inform
ecosystem-based
management.
The
assumptions
around
mechanistic
links
between
biological
processes
in
these
important,
but
implications
for
model
outcomes
of
which
captured
how
they
affect
modeled
seldom
explored.
Using
a
whole-ecosystem
(Atlantis)
Gulf
Alaska,
we
explore
effects
capturing
physical
(increased
temperature)
biogeochemical
(decreased
low
trophic
level
productivity)
stressors,
disentangle
each
stressor
on
productivity
forage
fish,
groundfish,
fish-eating
seabirds.
We
then
test
alternative
specifications
temperature-driven
habitat
determination
bioenergetics.
Increased
temperature
resulted
increased
weight-at-age
higher
natural
mortality,
while
decreased
mortality.
Model
specification
dependence
movement
spawning
influenced
outcomes,
decoupling
from
led
overly
optimistic
biomass
predictions.
use
management
becomes
more
operational,
illustrate
ecological
influence
outcomes.
PLoS ONE,
Journal Year:
2017,
Volume and Issue:
12(7), P. e0179928 - e0179928
Published: July 27, 2017
Most
of
the
thermal
tolerance
studies
on
fish
have
been
performed
juveniles
and
adults,
whereas
limited
information
is
available
for
larvae,
a
stage
which
may
particularly
narrow
range
in
tolerable
temperatures.
Moreover,
previous
limits
marine
freshwater
larvae
(53
reviewed
here)
applied
wide
methodologies
(e.g.
static
or
dynamic
method,
different
exposure
times),
making
it
challenging
to
compare
across
taxa.
We
measured
Critical
Thermal
Maximum
(CTmax)
Atlantic
herring
(Clupea
harengus)
European
seabass
(Dicentrarchus
labrax)
using
method
(ramping
assay)
assessed
effect
warming
rate
(0.5
9°C
h-1)
acclimation
temperature.
The
had
lower
CTmax
(lowest
highest
values
among
222
individual
13.1-27.0°C)
than
90
24.2-34.3°C).
At
faster
rates
warming,
larval
significantly
increased
herring,
no
was
observed
seabass.
Higher
temperatures
led
higher
(2.7
±
0.9°C
increase)
with
increases
more
pronounced
at
rates.
Pre-trials
testing
effects
are
recommended.
Our
results
these
two
temperate
fishes
suggest
3-6°C
h-1:
trials
relatively
short
duration,
as
has
suggested
larger
fish.
Additionally,
time-dependent
where
difference
up
8°C
upper
limit
between
0.5-
24-h
>18°C.
present
study
constitutes
first
step
towards
standard
protocol
measuring