ICES Journal of Marine Science,
Journal Year:
2022,
Volume and Issue:
79(9), P. 2461 - 2472
Published: Oct. 18, 2022
Abstract
Improving
the
effectiveness
of
marine
spatial
management
is
crucial
to
preserve
ecosystems
and
also
support
fisheries
economy.
In
this
study,
we
aimed
determine
distribution
suitable
habitats
(spawning
nursery
sites)
Sciaena
umbra
Dentex
dentex
using
catches
data
in
Corsica
Island.
Random
forest
models
have
been
used
as
they
are
highly
accurate
suited
predict
rare
species
distribution.
Predictive
maps
based
on
presence/absence
showed
a
high
degree
variability
between
species.
Suitable
were
close
shore
shallow
waters
for
S.
deeper
further
offshore
D.
dentex.
We
observed
that
spawning
sites
mainly
located
west
coast,
while
areas
distributed
all
around
island
addition,
demonstrated
important
contribution
environmental
factors
local
(depth
Posidonia
oceanica
meadows)
selection
their
habitats.
Our
results
provide
new
knowledge
understanding
ecological
processes
such
by
fish
Based
information,
mapping
can
be
implemented
improve
resource
over
long
term.
Methods in Ecology and Evolution,
Journal Year:
2022,
Volume and Issue:
14(3), P. 746 - 756
Published: Aug. 11, 2022
Abstract
Ecological
forecasting
provides
a
powerful
set
of
methods
for
predicting
short‐
and
long‐term
change
in
living
systems.
Forecasts
are
now
widely
produced,
enabling
proactive
management
many
applied
ecological
problems.
However,
despite
numerous
calls
an
increased
emphasis
on
prediction
ecology,
the
potential
to
accelerate
theory
development
remains
underrealized.
Here,
we
provide
conceptual
framework
describing
how
forecasts
can
energize
advance
theory.
We
emphasize
opportunities
future
progress
this
area
through
forecast
development,
comparison
synthesis.
Our
describes
approach
shed
new
light
existing
theories
while
also
allowing
researchers
address
novel
questions.
Through
rigorous
repeated
testing
hypotheses,
help
refine
understand
their
generality
across
Meanwhile,
synthesizing
allows
about
relative
predictability
variables
horizons
scales.
envision
where
is
integrated
as
part
toolset
used
fundamental
ecology.
By
outlining
relevance
theory,
aim
decrease
barriers
entry
broaden
community
using
insight.
Canadian Journal of Fisheries and Aquatic Sciences,
Journal Year:
2022,
Volume and Issue:
79(8), P. 1347 - 1359
Published: May 24, 2022
Telemetry
has
major
potential
for
application
to
fish
habitat
science
and
management,
but
date
it
is
underutilized
in
this
regard.
We
posit
because
(1)
telemetry
projects
are
often
geared
towards
detecting
movement,
opposed
systematically
sampling
selection,
(2)
there
differences
scale
between
data
management
decisions.
discuss
various
ways
which
can
contribute
present
some
considerations
improving
its
field.
To
date,
most
studies
have
been
descriptive
(e.g.,
use
area
A
more
than
B);
greater
adoption
of
inferential
study
approaches
that
assess
causal
ecological
drivers
movement
space
would
be
value
require
extensive
measurement
environmental
conditions.
conclude
by
presenting
a
conceptual
framework
scaling
from
individual
broad
applications
management.
Established
networks
readily
support
synthesis
activities,
although
tracking
rarely
stored
together,
current
disconnects
among
repositories
may
constrain
integration
scalability.
Ecological Applications,
Journal Year:
2023,
Volume and Issue:
33(6)
Published: June 7, 2023
Species
distribution
models
(SDMs)
are
becoming
an
important
tool
for
marine
conservation
and
management.
Yet
while
there
is
increasing
diversity
volume
of
biodiversity
data
training
SDMs,
little
practical
guidance
available
on
how
to
leverage
distinct
types
build
robust
models.
We
explored
the
effect
different
fit,
performance
predictive
ability
SDMs
by
comparing
trained
with
four
a
heavily
exploited
pelagic
fish,
blue
shark
(Prionace
glauca),
in
Northwest
Atlantic:
two
fishery
dependent
(conventional
mark-recapture
tags,
fisheries
observer
records)
independent
(satellite-linked
electronic
pop-up
archival
tags).
found
that
all
can
result
models,
but
differences
among
spatial
predictions
highlighted
need
consider
ecological
realism
model
selection
interpretation
regardless
type.
Differences
were
primarily
attributed
biases
each
type,
associated
representation
absences,
sampled
environment
summarized
resulting
species
distributions.
Outputs
from
ensembles
pooled
both
proved
effective
combining
inferences
across
provided
more
ecologically
realistic
than
individual
Our
results
provide
valuable
practitioners
developing
SDMs.
With
access
diverse
sources,
future
work
should
further
develop
truly
integrative
modeling
approaches
explicitly
strengths
statistically
accounting
limitations,
such
as
sampling
biases.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: May 12, 2022
Abstract
Many
fish
and
marine
organisms
are
responding
to
our
planet’s
changing
climate
by
shifting
their
distribution.
Such
shifts
can
drive
international
conflicts
highly
problematic
for
the
communities
businesses
that
depend
on
these
living
resources.
Advances
in
prediction
mean
some
regions
drivers
of
be
forecast
up
a
decade
ahead,
although
forecasts
distribution
this
critical
time-scale,
while
sought
after
stakeholders,
have
yet
materialise.
Here,
we
demonstrate
application
decadal-scale
predictions
habitat
species.
We
show
statistically
significant
skill
individual
years
outperform
baseline
3–10
ahead;
multi-year
averages
perform
even
better,
yielding
correlation
coefficients
excess
0.90
cases.
also
underlying
over
Atlantic
mackerel
fishing
rights
could
been
foreseen.
Our
results
provide
information
direct
relevance
stakeholders
decadal-scale.
This
tool
will
foreseeing,
adapting
coping
with
challenges
future
climate,
particularly
most
ocean-dependent
nations
communities.
Progress In Oceanography,
Journal Year:
2023,
Volume and Issue:
211, P. 102973 - 102973
Published: Jan. 20, 2023
Motivated
by
a
need
for
climate-informed
living
marine
resource
management,
increased
emphasis
has
been
placed
on
regional
end-to-end
modeling
frameworks
designed
to
project
climate
impacts
ecosystems
and
evaluate
the
efficacy
of
potential
management
strategies
under
changing
conditions.
The
'Future
Seas'
was
initiated
with
focus
three
fisheries
(Pacific
sardine,
swordfish,
albacore
tuna)
in
California
Current
System
(CCS).
This
work
leverages
suite
climate,
ocean,
ecosystem,
economic
models
physical,
ecological,
socio-economic
change,
strategies,
quantify
uncertainty
model
projections.
Here
we
describe
components
framework,
considerations
underlying
choices
made
development,
engagement
stakeholders,
key
results
date,
including
projections
2100.
Our
broad
aims
are
(i)
synthesize
large
body
research
that
conducted,
continues,
Future
Seas
umbrella,
(ii)
provide
insight
recommendations
those
pursuing
similar
efforts
other
applications
regions.
In
general,
our
indicate
all
species
will
likely
shift
their
distributions
(predominantly
poleward)
future,
which
accessibility
fishing
fleets,
spatial
quota
allocation.
For
integrative
climate-to-fisheries
projections,
recommend
attention
is
given
to:
recognizing
biases
arising
from
differences
between
products
used
ecological
fitting
projection;
how
sources
projection
prioritized,
incorporated,
communicated;
quantitatively
linking
scenarios
–
especially
Fishes,
Journal Year:
2023,
Volume and Issue:
8(6), P. 319 - 319
Published: June 16, 2023
As
we
confront
novel
environmental
challenges,
a
full
understanding
of
the
physical
and
biological
processes
that
govern
species
responses
to
climate
change
will
help
maintain
biodiversity
support
conservation
measures
are
more
robust
irreducible
uncertainty.
However,
impacts
so
complex,
literature
on
salmon
trout
is
vast
researchers
decision
makers
scramble
make
sense
it
all.
Therefore,
conducted
systematic
review
anadromous
as
resource
for
stakeholders,
managers,
researchers.
We
reviewed
studies
published
from
2010
2021
address
these
fish
organized
them
in
database
1169
1853
papers.
Papers
labeled
with
keywords
across
eight
categories
related
subject
matter
study
methods.
compared
by
process
life
stage
used
comparisons
assess
strengths
weaknesses.
then
summarized
expected
phenotypic
genetic
management
actions
stage.
Overall,
found
largest
research
gaps
interactions,
behavioral
responses,
effects
carry
over
stages.
With
this
collection
literature,
can
better
apply
scarce
resources,
fill
knowledge
gaps,
informed
decisions
do
not
ignore
PeerJ,
Journal Year:
2025,
Volume and Issue:
13, P. e18979 - e18979
Published: Feb. 17, 2025
Species
distribution
models
have
been
established
as
essential
tools
for
projecting
the
effects
of
changing
environmental
conditions
on
species
across
space
and
time.
The
microclimatic
niche
denotes
within
a
habitat
at
small
scale
or
localized
area.
These
direct
influence
several
ecological
traits
these
determine
which
organisms
can
survive
and/or
reproduce.
This
study
examines
microclimate
data
from
four
sites
located
in
Northwestern
Salta
Province,
Argentina.
Four
South
American
Liolaemus
lizard
were
found
to
inhabit
allotopy
syntopy,
with
irregularis
inhabiting
all
sites.
is
sole
Site
1;
L.
inhabits
2
syntopy
multicolor;
3
yanalcu;
4
albiceps.
To
characterize
sites,
model
was
generated
an
interval
10
AM
6
PM
every
day,
years.
exhibited
some
differences
combination
climatic
soil
characteristics.
1
characterized
by
low
relative
humidity,
high
temperature,
wind
speed,
Cambisol
type.
had
moderate
Andosol
Regosol
Temperature,
type,
diet
influenced
presence
each
site.
It
evident
that
microenvironmental
profoundly
biological
interactions.
Functional Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 20, 2025
Abstract
Species
distribution
models
(SDMs)
are
frequently
used
to
project
species'
ranges
under
future
climate
conditions.
Such
space‐for‐time
substitutions
rely
on
the
assumptions
that
spatial
climate‐distribution
relationships
causal
and
equivalent
over
space
time.
These
have
rarely
been
tested.
Using
UK
populations
of
Orange‐tip
butterfly
(
Anthocharis
cardamines
)
as
a
case
study,
we
demonstrate
an
approach
test
whether
these
key
met.
First,
identified
seasonal
periods
which
temperature
precipitation
variables
best
explained
butterfly's
abundance.
Then,
compared
effects
both
occupancy
abundance
versus
We
found
that,
time,
in
previous
year's
flight
period
has
positive
effect
(i.e.
presence)
butterfly,
whereas
appeared
not
effect.
temporal
did
differ
from
at
colder
sites,
but
warmer
magnitude
significantly
differed.
Conversely,
(mid‐range)
with
magnitudes
differing
sites.
Our
results
importance
identifying
before
making
projections.
also
show
reliability
SDM
projections
time
can
be
highly
context
dependent,
even
when
considering
single
species.
Therefore,
where
data
available
modelling
presented
here
should
incorporated
into
statistical
repertoire
improve
Read
free
Plain
Language
Summary
for
this
article
Journal
blog.
Fisheries Oceanography,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 28, 2025
ABSTRACT
The
louvar
(
Luvarus
imperialis
)
is
an
exceedingly
rare
circumtropical
fish
species
with
a
poorly
understood
ecology.
Catch
data
from
defunct
drift
gillnet
fisheries
provide
unparalleled
way
to
quantify
the
distributional
dynamics
of
this
that,
as
gelativore,
almost
never
taken
bycatch
on
fish‐
or
squid‐baited
longlines
that
dominate
modern
open
ocean
fisheries.
Here,
we
present
largest
observational
dataset
assembled
for
louvar,
combining
>
30
years
observer
presence–absence
records
two
such
spanning
vast
expanse
pelagic
North
Pacific.
We
leverage
these
construct
distribution
model
quantifies
species'
environmental
preferences,
enabling
us
confront
knowledge
gaps
its
core
and
investigate
variability
among
seasons,
years,
alternate
phases
climate
oscillations.
show
enigmatic
favors
waters
positive
sea
surface
height
shallow
mixed
layer
depth,
consistent
high,
but
seasonally
variable,
model‐predicted
suitable
habitat
in
Pacific
Transition
Zone
California
Current.
In
addition,
our
results
suggest
have
experienced
slight
loss
1990
2023
response
large‐scale
This
study
highlights
value
using
framework
synthesize
diverse
datasets,
characterize
species–environment
relationships,
infer
basic
spatiotemporal
cannot
be
reliably
sampled.