Canadian Journal of Fisheries and Aquatic Sciences,
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 15, 2023
Spatio-temporal
models
are
widely
applied
to
standardise
research
survey
data
and
increasingly
used
generate
density
maps
indices
from
other
sources.
We
developed
a
spatio-temporal
modelling
framework
that
integrates
(treated
as
“reference
dataset”)
sources
(“non-reference
datasets”)
while
estimating
spatially
varying
catchability
for
the
non-reference
datasets.
demonstrated
it
using
two
case
studies.
The
first
involved
bottom
trawl
observer
spiny
dogfish
(
Squalus
acanthias)
on
Chatham
Rise,
New
Zealand.
second
cod
predators
samplers
of
juvenile
snow
crab
Chionoecetes
opilio)
abundance,
integrated
with
industry-cooperative
surveys
in
eastern
Bering
Sea.
Our
leveraged
strengths
individual
(the
quality
reference
dataset
quantity
data),
downweighting
influence
datasets
via
estimated
catchabilities.
They
allowed
generation
annual
longer
time-period
provision
one
single
index
rather
than
multiple
each
covering
shorter
time-period.
Marine and Coastal Fisheries,
Journal Year:
2022,
Volume and Issue:
14(1)
Published: Jan. 23, 2022
Abstract
Climate
change
is
impacting
the
abundance
and
distribution
of
marine
resources.
The
consequences
these
impacts
are
likely
to
alter
trophic
interactions
between
species
within
an
ecosystem
affect
fisheries
opportunities
for
coastal
communities.
Market
squid
Doryteuthis
opalescens
comprise
largest
fishery
(by
volume)
in
California,
USA,
questions
persist
about
whether
changing
ocean
conditions
leading
increase
traditional
fishing
locations
as
well
marginal
habitats
northern
areas.
To
examine
this
potential
phenomenon,
we
used
fisheries‐independent
survey
data
collected
by
National
Marine
Fisheries
Service
1998
2019
develop
a
spatiotemporal
model
that
estimates
changes
density
from
central
California
Washington.
We
found
fivefold
index
across
entire
spatial
domain
surveys
during
sampling
period,
with
increases
occurring
Oregon
Washington
strata.
Although
our
demonstrated
encounter
rates
densities
increased
warmer
more
saline
waters,
large
shifts
were
only
associated
deviations
temperatures
could
be
characterized
heatwaves.
This
analysis
adds
growing
body
work
documenting
response
resources
both
long‐term
trends
warming
episodic
events,
such
Furthermore,
it
demonstrates
need
assessment
models
ability
forecast
at
scales
relevant
Ecosystem health and sustainability,
Journal Year:
2020,
Volume and Issue:
6(1)
Published: Sept. 24, 2020
ABSTRACT
This
paper
develops
a
risk
table
to
facilitate
incorporation
of
additional
information
into
the
fisheries
stock
assessment
and
management
process.
The
is
designed
evaluate
unanticipated
ecosystem
environmental
impacts
on
marine
resources
that
may
require
rapid
response.
standardized
framework
document
concerns
about
model,
population
dynamics,
ecosystem/environment
are
not
explicitly
addressed
within
model.
A
scoring
procedure
used
severity
concern.
These
can
then
be
evaluated
in
support
for
or
against
reduction
from
maximum
Acceptable
Biological
Catch
while
providing
reviewers
stakeholders
transparent
documentation
concerns.
was
applied
successfully
several
stocks
trial
basis
during
2018
groundfish
cycle
North
Pacific
Fishery
Management
Council,
will
all
full
assessments
2019.
Rapid
changes
climate
likely
Alaska
ecosystems
coming
decades,
these
entirely
predicable.
Therefore,
we
avocate
approach
should
included
suite
tools
address
effects
change
resources.
Ecography,
Journal Year:
2020,
Volume and Issue:
44(3), P. 427 - 439
Published: Dec. 2, 2020
A
common
goal
in
ecology
and
its
applications
is
to
better
understand
how
species'
distributions
change
over
space
time,
yet
many
conventional
summary
metrics
(e.g.
center
of
gravity)
distribution
shifts
may
offer
limited
inference
because
such
changes
not
be
spatially
homogenous.
We
develop
a
modeling
approach
estimate
explicit
temporal
trend
(i.e.
local
trend),
alongside
spatial
(temporally
constant)
spatiotemporal
(time‐varying)
components,
compare
inferred
those
indicated
by
metrics.
This
method
generalizable
data
types
including
presence–absence
data,
count
continuous
as
density.
To
demonstrate
the
utility
this
new
approach,
we
focus
on
application
model
community
well‐studied
marine
fish
species
US
west
coast
(19
species,
representing
wide
range
densities).
Results
from
selection
indicate
that
use
accounting
for
trends
clearly
justified
89%
these
species.
In
addition
making
more
parsimonious
accurate
predictions,
illustrate
estimated
fields
can
used
classify
regions
within
where
relatively
Conventional
metrics,
gravity,
then
calculated
each
region
or
previously
defined
biogeographic
boundaries.
nuanced
than
what
expressed
via
global
Using
arrowtooth
flounder
Atheresthes
stomias
an
example,
observed
southward
shift
time
gravity
reflective
uniform
densities
but
decreasing
density
northern
rapidly
increasing
at
southern
edge
range.
Thus,
estimating
with
models
improves
interpretation
change.
Fish and Fisheries,
Journal Year:
2019,
Volume and Issue:
20(6), P. 1083 - 1099
Published: Sept. 25, 2019
Abstract
Multispecies
models
are
widely
used
to
evaluate
management
trade‐offs
arising
from
species
interactions.
However,
identifying
climate
impacts
and
sensitive
habitats
requires
integrating
spatial
heterogeneity
environmental
into
multispecies
at
fine
scales.
We
therefore
develop
a
spatio‐temporal
model
of
intermediate
complexity
for
ecosystem
assessments
(a
“MICE‐in‐space”),
which
is
fitted
survey
sampling
data
time
series
fishing
mortality
using
maximum‐likelihood
techniques.
The
implemented
in
the
VAST
R
package,
it
can
be
configured
range
purely
descriptive
including
ratio‐dependent
interactions
among
species.
demonstrate
this
four
groundfishes
Gulf
Alaska
1982
2015.
Model
selection
case‐study
shows
that
with
parsimonious,
although
specifying
separate
density
dependence
without
also
has
substantial
support.
AIC‐selected
estimates
significant,
negative
impact
pollock
(
Gadus
chalcogrammus
,
Gadidae)
on
productivity
other
suggests
recent
Pacific
cod
G.
microcephalus
above
biological
reference
point
(BRP)
resulting
40%
unfished
biomass;
show
similar
trends
but
different
scales
due
BRP
estimates.
A
simulation
experiment
fitting
fewer
coarse
resolution
degrades
estimation
performance,
points
still
estimated
accurately.
conclude
MICE‐in‐space
simultaneously
estimate
impacts,
trade‐offs,
habitat
quality.
They
suitable
forecast
short‐term
optimize
designs
designate
protected
habitats.
ICES Journal of Marine Science,
Journal Year:
2020,
Volume and Issue:
77(5), P. 1879 - 1892
Published: April 10, 2020
Abstract
Climate
change
is
rapidly
affecting
the
seasonal
timing
of
spatial
demographic
processes.
Consequently,
resource
managers
require
information
from
models
that
simultaneously
measure
seasonal,
interannual,
and
variation.
We
present
a
spatio-temporal
model
includes
annual,
variation
in
density
then
highlight
two
important
uses:
(i)
standardizing
data
are
spatially
unbalanced
within
multiple
seasons
(ii)
identifying
interannual
changes
(phenology)
population
demonstrate
these
uses
with
contrasting
case
studies:
three
bottom
trawl
surveys
for
yellowtail
flounder
(Limanda
ferruginea)
Northwest
Atlantic
Ocean
1985
to
2017
pelagic
tows
copepodite
stage
3+
copepod
(Calanus
glacialis/marshallae)
densities
eastern
Bering
Sea
1993
2016.
The
analysis
illustrates
how
can
be
used
infer
hot
spots
an
area
not
sampled
one
or
more
surveys.
assimilates
seasonally
samples
estimate
annual
index
abundance
identifies
positive
correlation
between
this
cold-pool
extent.
conclude
by
discussing
additional
potential
emphasize
their
ability
identify
climate-driven
shifts
fish
movement
ecosystem
productivity.
Remote Sensing,
Journal Year:
2020,
Volume and Issue:
12(14), P. 2231 - 2231
Published: July 11, 2020
Information
regarding
the
oceanic
environment
is
crucial
for
determining
species
distributions
and
their
habitat
preferences.
However,
in
studies
on
crustaceans,
especially
swimming
crabs,
such
information
remains
poorly
utilized,
its
effects
crab
communities
Taiwan
Strait
(TS)
has
not
been
well
documented.
The
purpose
of
this
study
was
to
understand
relationship
between
catch
rates
three
environmental
factors
TS.
We
fitted
generalized
additive
models
(GAMs)
logbooks
voyage
data
recorder
from
Taiwanese
vessels
(2011–2015),
developed
a
distribution
model,
predicted
these
based
GAM
output.
chlorophyll-a
(Chl-a)
concentration
related
high
Chrybdis
feriatus
Portunus
sanguinolentus,
whereas
bottom
temperature
(BT)
pelagicus.
variance
percentages
each
indicated
that
C.
P.
sanguinolentus
occurred
Chl-a
>
0.5
mg/m3,
pelagicus
exhibited
negative
correlations
with
BTs
25
°C.
model
north
TS
during
autumn
winter,
observed
south
summer
autumn.
be
widely
distributed
around
further
northern
area
winter.
These
findings
revealed
responds
spatiotemporal
variations.
Understanding
habitats
crabs
vital
fisheries
resource
management
conservation
planning.
Ecography,
Journal Year:
2021,
Volume and Issue:
44(6), P. 832 - 844
Published: March 16, 2021
Accurate
forecasts
of
how
animals
respond
to
climate‐driven
environmental
change
are
needed
prepare
for
future
redistributions,
however,
it
is
unclear
which
temporal
scales
variability
give
rise
predictability
species
distributions.
We
examined
the
that
best
predicted
spatial
abundance
a
marine
predator,
swordfish
Xiphias
gladius
,
in
California
Current.
To
understand
provide
biological
predictability,
we
decomposed
physical
variables
into
three
components:
monthly
climatology
(long‐term
average),
low
frequency
component
representing
interannual
variability,
and
high
(sub‐annual)
captures
ephemeral
features.
then
assessed
each
component's
contribution
predictive
skill
spatially‐explicit
catch.
The
was
primary
source
catch,
reflecting
distribution
associated
with
seasonal
movements
this
region.
Importantly,
found
(capturing
variability)
provided
significant
predicting
anomalous
cannot.
addition
added
only
minor
improvement
predictability.
By
examining
models'
ability
predict
anomalies,
assess
models
way
consistent
goal
–
deviations
distributions
from
their
average
historical
locations.
critical
importance
climate
describing
catch
matches
target
timescales
forecasts,
suggesting
potential
skillful
ecological
across
short
(seasonal)
long
(climate)
timescales.
Understanding
sources
prediction
responses
gives
confidence
our
accurately
abundance,
know
likely
less
predictable,
under
change.
This
important
as
continues
cause
an
unprecedented
redistribution
life
on
Earth.
Ecography,
Journal Year:
2022,
Volume and Issue:
2022(9)
Published: June 23, 2022
An
abundance
of
studies
in
marine
systems
have
documented
species
range
shifts
response
to
climate
change,
and
many
more
used
distribution
models
project
ranges
under
future
conditions.
However,
there
is
increasing
interest
moving
beyond
a
single‐species
focus
understand
how
redistribution
alters
ecosystem
dynamics
via
changes
trophic
interactions.
We
employed
spatiotemporal
characterize
decadal‐scale
spatial
overlap
between
the
juvenile
walleye
pollock
Gadus
chalcogrammus
distributions
four
its
groundfish
predators:
arrowtooth
flounder
Atheresthes
stomias
,
Pacific
cod
macrocephalus
halibut
Hippoglossus
stenolepis
adult
pollock.
These
fishes
represent
ecologically
commercially
important
rapidly
changing
sub‐Arctic
ecosystem,
eastern
Bering
Sea,
Alaska,
USA.
then
examined
whether
corresponded
predation,
using
predator
stomach
contents.
found
marked
two
predators
(arrowtooth
halibut)
over
34
years,
with
corresponding
increases
population‐scale
predation
pressure.
By
contrast,
we
did
not
find
clear
relationships
for
pollock,
which
constitute
much
smaller
diet
proportion.
Our
findings
highlight
complexity
predicting
generalist
suggest
need
better
process‐based
methods
understanding
potential
ecological
impacts
coupled
shifts.
simple
metrics
relatively
specialized
their
prey
offer
promise
as
means
integrate
predictions
from
into
ecosystem‐based
fisheries
management.
ICES Journal of Marine Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 29, 2024
Abstract
In
recognition
of
the
impact
climate
change
on
marine
ecosystems
worldwide,
integrated
research
teams
have
coupled
projections
with
social-ecological
models
to
inform
management
and
evaluate
adaptation
strategies
for
fishing
industry
communities.
A
key
step
in
this
process
is
selection
scenarios
that
enable
improved
decision-making
through
engagements
constituents
diverse
interests
future
use
resources.
This
paper
presents
an
approach
selecting
refining
climate-informed
groundfish
crab
fisheries
eastern
Bering
Sea.
The
involved:
(a)
initial
model
development
provide
worked
examples;
(b)
engagement
stakeholders
seek
input
climate-related
concerns,
priorities,
options;
(c)
establishment
pathways
uptake
decision
support
information
into
existing
systems.
narrowed
range
candidate
scenarios,
identified
pressing
concerns
constituents,
clarified
timelines
scheduling
modeling
projects
address
these
concerns.
Separating
evaluation
(research
modeling)
from
proposed
changes
Fishery
Management
Plans
preserved
opportunities
public
debate
a
well-established
regulatory
review
process.
Collectively,
outcomes
help
advance
regionally
relevant
climate-ready
harvest
policy.