A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 15, 2024
Understanding
climate
change
impacts
on
global
marine
ecosystems
and
fisheries
requires
complex
ecosystem
models,
forced
by
projections,
that
can
robustly
detect
project
changes.
The
Fisheries
Marine
Ecosystems
Model
Intercomparison
Project
(FishMIP)
uses
an
ensemble
modelling
approach
to
fill
this
crucial
gap.
Yet
FishMIP
does
not
have
a
standardised
skill
assessment
framework
quantify
the
ability
of
member
models
reproduce
past
observations
guide
model
improvement.
In
study,
we
apply
comprehensive
subset
produce
historical
catches.
We
consider
suite
metrics
assess
their
utility
in
illustrating
models’
observed
Our
findings
reveal
improvement
performance
at
both
regional
(Large
Ecosystem)
scales
from
Coupled
Phase
5
6
simulation
rounds.
analysis
underscores
importance
employing
easily
interpretable,
relative
estimate
capability
capture
temporal
variations,
alongside
absolute
error
measures
characterise
shifts
magnitude
these
variations
between
across
developed
tested
here
provides
first
objective
baseline
ensemble’s
reproducing
catch
scale.
This
be
further
improved
systematically
applied
test
reliability
whole
future
rounds
include
more
variables
like
fish
biomass
or
production.
Language: Английский
Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0
Earth s Future,
Journal Year:
2024,
Volume and Issue:
12(12)
Published: Dec. 1, 2024
Abstract
There
is
an
urgent
need
for
models
that
can
robustly
detect
past
and
project
future
ecosystem
changes
risks
to
the
services
they
provide
people.
The
Fisheries
Marine
Ecosystem
Model
Intercomparison
Project
(FishMIP)
was
established
develop
model
ensembles
projecting
long‐term
impacts
of
climate
change
on
fisheries
marine
ecosystems
while
informing
policy
at
spatio‐temporal
scales
relevant
Inter‐Sectoral
Impact
(ISIMIP)
framework.
While
contributing
FishMIP
have
improved
over
time,
large
uncertainties
in
projections
remain,
particularly
coastal
shelf
seas
where
most
world's
occur.
Furthermore,
previous
impact
been
limited
by
a
lack
global
standardized
historical
fishing
data,
low
resolution
processes,
uneven
capabilities
across
community
dynamically
fisheries.
These
features
are
needed
evaluate
how
reliably
ensemble
captures
states
‐
crucial
step
building
confidence
projections.
To
address
these
issues,
we
developed
2.0
comprising
two‐track
framework
for:
(a)
evaluation
attribution
(b)
socioeconomic
scenario
Key
advances
include
forcing,
which
oceanographic
not
previously
resolved,
forcing
test
effects
systematically
models.
toward
detection
changing
enhanced
relevance
through
increased
Our
results
will
help
elucidate
pathways
achieving
sustainable
development
goals.
Language: Английский
A Skill Assessment Framework for the Fisheries and Marine Ecosystem Model Intercomparison Project
Earth s Future,
Journal Year:
2025,
Volume and Issue:
13(4)
Published: March 27, 2025
Abstract
Understanding
climate
change
impacts
on
global
marine
ecosystems
and
fisheries
requires
complex
ecosystem
models,
forced
by
projections,
that
can
robustly
detect
project
changes.
The
Fisheries
Marine
Ecosystems
Model
Intercomparison
Project
(FishMIP)
uses
an
ensemble
modeling
approach
to
fill
this
crucial
gap.
Yet
FishMIP
does
not
have
a
standardised
skill
assessment
framework
quantify
the
ability
of
member
models
reproduce
past
observations
guide
model
improvement.
In
study,
we
apply
comprehensive
subset
produce
historical
catches.
We
consider
suite
metrics
assess
their
utility
in
illustrating
models'
observed
Our
findings
reveal
improvement
performance
at
both
regional
(Large
Ecosystem)
scales
from
Coupled
Phase
5
6
simulation
rounds.
analysis
underscores
importance
employing
easily
interpretable,
relative
estimate
capability
capture
temporal
variations,
alongside
absolute
error
measures
characterize
shifts
magnitude
these
variations
between
across
developed
tested
here
provides
first
objective
baseline
ensemble's
reproducing
catch
scale.
This
be
further
improved
systematically
applied
test
reliability
whole
future
rounds
include
more
variables
like
fish
biomass
or
production.
Language: Английский
Small Commercial Fish Biomass Limits the Catch Potential in the High Seas
Earth s Future,
Journal Year:
2025,
Volume and Issue:
13(4)
Published: April 1, 2025
Abstract
The
High
Seas,
lying
beyond
the
boundaries
of
nations'
Exclusive
Economic
Zones,
cover
most
ocean
surface
and
host
half
marine
primary
production.
Yet,
a
tiny
fraction
global
wild
fish
catch
comes
from
despite
intensifying
industrial
fishing
efforts.
paradoxically
small
could
reflect
economic
barriers
to
exploiting
Seas
‐
such
as
difficulty
cost
in
remote
parts
or
ecological
features
resulting
biomass
commercial
(10g–100
kg)
relative
We
use
coupled
biological‐economic
model
BOATS
estimate
contributing
factors,
comparing
observed
catches
with
simulations
where:
(a)
depends
on
distance
shore
seafloor
depth;
(b)
catchability
depth
vertical
habitat
extent;
(c)
regions
micronutrient
limitation
have
reduced
production;
(d)
trophic
transfer
energy
production
demersal
food
webs
water
(e)
migrates
coastal
regions.
dominant
factor
is
ecological:
communities
receive
much
shallow
waters
but
less
deep
waters,
limiting
exploitable
Seas.
Other
factors
play
secondary
role,
migrations
having
potentially
large
uncertain
while
smaller
effects.
hosted
25
2.8
0.7
Gt
early
20th
century,
changing
47%
1.5
0.4
during
21st
century.
Our
results
stress
limited
potential
provide
through
capture
fisheries.
Language: Английский