Authorea (Authorea),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 30, 2023
Marine
Ecosystem
Models
(MEMs)
are
increasingly
forced
with
Earth
System
(ESMs)
to
better
understand
marine
ecosystem
dynamics,
and
analyse
the
effects
of
alternative
management
efforts
for
ecosystems
under
potential
scenarios
global
change.
However,
policy
commercial
activities
typically
occur
on
seasonal-to-decadal
time
scales,
a
span
widely
used
in
climate
modelling
community
but
where
skill
level
assessments
MEMs
their
infancy.
This
is
mostly
due
technical
hurdles
that
prevent
MEM
from
performing
large
ensemble
simulations
which
undergo
systematic
assessments.
Here,
we
developed
novel
distributed
execution
framework
constructed
low-tech
freely
available
technologies
enable
analysis
linked
ESM
/
prediction
ensembles.
We
apply
this
scale,
assess
how
retrospective
forecast
uncertainty
an
initialised
decadal
Model
predictions
affects
mechanistic
spatiotemporal
explicit
MEM.
Our
results
indicate
internal
variability
has
relatively
low
impact
predictability
comparison
broad
assumptions
related
reconstructed
fisheries.
also
observe
sensitive
specificities.
case
study
warrants
further
explorations
disentangle
impacts
change,
fisheries
scenarios,
ecological
hypotheses,
variability.
Most
importantly,
our
demonstrates
simple
free
empower
any
group
fundamental
capabilities
operationalize
modelling.
Earth s Future,
Journal Year:
2024,
Volume and Issue:
12(3)
Published: March 1, 2024
Abstract
Marine
Ecosystem
Models
(MEMs)
are
increasingly
driven
by
Earth
System
(ESMs)
to
better
understand
marine
ecosystem
dynamics,
and
analyze
the
effects
of
alternative
management
efforts
for
ecosystems
under
potential
scenarios
climate
change.
However,
policy
commercial
activities
typically
occur
on
seasonal‐to‐decadal
time
scales,
a
span
widely
used
in
global
modeling
community
but
where
skill
level
assessments
MEMs
their
infancy.
This
is
mostly
due
technical
hurdles
that
prevent
MEM
from
performing
large
ensemble
simulations
with
which
undergo
systematic
assessments.
Here,
we
developed
novel
distributed
execution
framework
constructed
low‐tech
freely
available
technologies
enable
analysis
linked
ESM/MEM
prediction
ensembles.
We
apply
this
scale,
assess
how
retrospective
forecast
uncertainty
an
initialized
decadal
ESM
predictions
affects
mechanistic
spatiotemporal
explicit
trophodynamic
MEM.
Our
results
indicate
internal
variability
has
relatively
low
impact
comparison
broad
assumptions
related
reconstructed
fisheries.
also
observe
sensitive
specificities.
case
study
warrants
further
explorations
disentangle
impacts
change,
fisheries
scenarios,
ecological
hypotheses,
variability.
Most
importantly,
our
demonstrates
simple
free
empower
any
group
fundamental
capabilities
operationalize
modeling.
Elementa Science of the Anthropocene,
Journal Year:
2025,
Volume and Issue:
13(1)
Published: Jan. 1, 2025
The
Barents
Sea
is
a
hotspot
for
ongoing
Arctic
climate
change,
manifested
in
rapid
warming
of
the
ocean
and
atmosphere
strong
decline
winter
sea-ice
cover.
These
changes
physical
environment
have
large
consequences
marine
ecosystems,
including
commercial
fish
populations.
In
warmer
future
climate,
both
ecological
are
expected
to
intensify.
Here,
we
provide
first
comprehensive
overview
change
projections
Sea,
associated
physical,
biogeochemical,
based
on
models
end-to-end
ecosystem
models.
We
also
discuss
potential
human
activities
their
impacts,
shipping
activity
contaminants.
analyze
results
two
time
horizons—the
near-future
(2040–2050)
far-future
(2090–2100)—and
different
emission
scenarios:
one
with
moderate
greenhouse
gas
emissions
(SSP2-4.5)
high-emission
scenario
(SSP5-8.5).
show
that
will
be
warmer,
less
ice-covered,
more
acidic,
productive,
populations
spawning
sites
moving
northward.
There
small
differences
multi-model
mean
biogeochemical
between
scenarios
by
2050,
while
emerge
toward
end
century.
implications
these
far-reaching,
identifying
sensitivity
emissions,
informing
regional
management
strategies,
potentially
needs
adaptation
already
likely
occur.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: July 5, 2024
Abstract
Climate
warming
is
one
of
the
facets
anthropogenic
global
change
predicted
to
increase
in
future,
its
magnitude
depending
on
present-day
decisions.
The
north
Atlantic
and
Arctic
Oceans
are
already
undergoing
community
changes,
with
warmer-water
species
expanding
northwards,
colder-water
retracting.
However,
future
extent
implications
these
shifts
remain
unclear.
Here,
we
fitted
a
joint
distribution
model
occurrence
data
107,
biomass
61
marine
fish
from
16,345
fishery
independent
trawls
sampled
between
2004
2022
northeast
Ocean,
including
Barents
Sea.
We
project
overall
increases
richness
declines
relative
dominance
community,
generalised
species’
ranges
across
three
different
scenarios
2050
2100.
projected
decline
capelin
practical
extirpation
polar
cod
system,
two
most
abundant
Sea,
drove
an
reduction
at
latitudes
that
not
replaced
by
species.
Furthermore,
our
projections
suggest
demersal
will
be
high
risk
extinction
end
century
if
no
climate
refugia
available
eastern
latitudes.
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.
Frontiers in Climate,
Journal Year:
2023,
Volume and Issue:
5
Published: June 22, 2023
Following
efforts
from
leading
centres
for
climate
forecasting,
sustained
routine
operational
near-term
predictions
(NTCP)
are
now
produced
that
bridge
the
gap
between
seasonal
forecasts
and
change
projections
offering
prospect
of
seamless
services.
Though
NTCP
is
a
new
area
science
active
research
taking
place
to
increase
understanding
processes
mechanisms
required
produce
skillful
predictions,
this
significant
technical
achievement
combines
advances
in
initialisation
with
ensemble
prediction
future
up
decade
ahead.
With
growing
database,
predictability
evolving
externally-forced
internally-generated
components
system
can
be
quantified.
Decision-makers
key
sectors
economy
begin
assess
utility
these
products
informing
risk
planning
adaptation
resilience
strategies
into
future.
Here,
case
studies
presented
finance
economics,
water
management,
agriculture
fisheries
management
demonstrating
emerging
potential
inform
strategic
across
broad
range
applications
global
economy.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Dec. 5, 2023
Abstract
Forecasting
weather
has
become
commonplace,
but
as
society
faces
novel
and
uncertain
environmental
conditions
there
is
a
critical
need
to
forecast
ecology.
Forewarning
of
ecosystem
during
climate
extremes
can
support
proactive
decision-making,
yet
applications
ecological
forecasts
are
still
limited.
We
showcase
the
capacity
for
existing
marine
management
tools
transition
forecasting
configuration
provide
skilful
up
12
months
in
advance.
The
use
ocean
temperature
anomalies
help
mitigate
whale
entanglements
sea
turtle
bycatch,
we
show
that
forewarn
human-wildlife
interactions
caused
by
unprecedented
extremes.
further
regionally
downscaled
not
necessity
be
less
than
global
if
they
have
fewer
ensemble
members.
Our
results
highlight
explored
regions
without
infrastructure
or
downscale,
ultimately
helping
improve
resource
adaptation
globally.
Open Research Europe,
Journal Year:
2025,
Volume and Issue:
4, P. 82 - 82
Published: Jan. 20, 2025
Background
The
Atlantic
mackerel,
Scomber
scombrus
(Linnaeus,
1758)
is
a
commercially
valuable
migratory
pelagic
fish
inhabiting
the
northern
Ocean
and
Mediterranean
Sea.
Given
its
highly
behaviour
for
feeding
spawning,
several
studies
have
been
conducted
to
assess
differentiation
among
spawning
components
better
define
management
units,
as
well
investigate
possible
adaptations
comprehend
predict
recent
range
expansion
northwards.
Methods
Here,
genome
of
S.
was
sequenced
annotated,
an
increasing
number
population
genetic
proven
relevance
reference
genomes
genomic
markers/regions
potentially
linked
differences
at
finer
scale.
Such
used
map
Restriction-site-associated
sequencing
(RAD-seq)
reads
SNP
discovery
genotyping
in
more
than
500
samples
distributed
along
species
range.
resulting
tables
perform
connectivity
adaptation
analyses.
Results
assembly
resulted
741
Mb.
Our
results
show
that
mackerel
consist
three
previously
known
genetically
isolated
units
(Northwest
Atlantic,
Northeast
Mediterranean),
provide
no
evidence
distinct
within
Northwest
or
Atlantic.
Conclusions
Therefore,
our
findings
resolved
previous
uncertainties
by
confirming
absence
each
side
thus
rejecting
homing
need
redefine
boundaries
this
species.
In
addition,
further
signs
ongoing
were
detected
species.
Fisheries Oceanography,
Journal Year:
2023,
Volume and Issue:
32(4), P. 405 - 417
Published: March 28, 2023
Abstract
Ocean
and
climate
drivers
affect
the
distribution
abundance
of
marine
life
on
a
global
scale.
Marine
ecological
forecasting
seeks
to
predict
how
living
resources
respond
physical
variability
change,
enabling
proactive
decision‐making
support
adaptation.
However,
skill
forecasts
is
constrained
by
underlying
models
both
ocean
state
species‐environment
relationships.
As
test
data‐driven
for
fisheries,
we
developed
predictive
catch‐per‐unit‐effort
(CPUE)
tuna
billfish
across
south‐west
Pacific
Ocean,
using
12‐year
time
series
catch
data
large
ensemble
reanalysis.
Descriptors
water
column
structure,
particularly
temperature
at
depth
upper
heat
content,
emerged
as
useful
predictors
CPUE
species.
Enhancing
forecast
over
sub‐seasonal
multi‐year
timescales
in
any
system
likely
require
inclusion
sub‐surface
explicit
consideration
regional
dynamics.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 3, 2025
Abstract
Here
we
present
a
new
seasonal-to-multiyear
Earth
prediction
system
(CESM2-MP)
based
on
the
Community
System
Model
version
2
(CESM2).
A
20-member
ensemble
which
assimilates
oceanic
temperature
and
salinity
anomalies
provides
initial
conditions
for
5-year
predictions
from
1960
to
2020.
We
analyze
skills
using
pairwise
statistics,
calculated
among
individual
members
(IM)
compare
results
with
more
commonly
used
mean
(EM)
approach.
This
comparison
is
motivated
by
fact
that
an
EM
of
nonlinear
dynamical
generates
–
unlike
reality
heavily
smoothed
trajectory,
akin
slow
manifold
evolution.
However,
most
autonomous
systems,
does
not
even
represent
solution
underlying
physical
equations,
it
should
therefore
be
as
estimate
expected
trajectory.
The
IM-based
approach
less
sensitive
size
than
EM-based
skill
computations,
its
estimates
potential
predictability
are
closer
actual
skill.
Using
statistics
helps
unravel
physics
patterns
in
CESM-MP
their
relationship
ocean-atmosphere-land
interactions
climate
modes.
Furthermore,
method
emphasizes
1st
kind
associated
propagation
conditions.
In
contrast,
2nd
kind,
external
forcing
time-varying
boundary
Calculating
insights
into
sources
due
ocean
delineate
quantify
forecast
limits
internal
variability.