Simulating the changes of the habitats suitability of chub mackerel (Scomber japonicus) in the high seas of the North Pacific Ocean using ensemble models under medium to long-term future climate scenarios
Marine Pollution Bulletin,
Год журнала:
2024,
Номер
207, С. 116873 - 116873
Опубликована: Авг. 24, 2024
Understanding
and
forecasting
changes
in
marine
habitats
due
to
global
climate
warming
is
crucial
for
sustainable
fisheries.
Using
future
environmental
data
provided
by
Global
Climate
Models
(GCMs)
occurrence
records
of
Chub
mackerel
the
North
Pacific
Ocean
(2014-2023),
we
built
eight
individual
models
four
ensemble
simulate
current
habitat
distribution
forecast
under
three
scenarios
(SSP1-2.6,
SSP2-4.5,
SSP5-8.5)
2050s
2100s.
Ensemble
outperformed
ones,
with
weighted
average
algorithm
model
achieving
highest
accuracy
(AUC
0.994,
TSS
0.929).
Sea
Surface
Temperature
(SST)
chlorophyll-a
(Chla)
significantly
influenced
distribution.
Predictions
indicate
high
suitability
areas
are
concentrated
beyond
200-nautical-mile
baseline.
Under
scenarios,
expected
decline,
a
shift
towards
higher
latitudes
deeper
waters.
High
will
be
reduced.
Язык: Английский
Valorizing underutilized fish through adaptable gastronomy: Insight from Japan
International Journal of Gastronomy and Food Science,
Год журнала:
2025,
Номер
unknown, С. 101161 - 101161
Опубликована: Март 1, 2025
Язык: Английский
Simulating the Changes Of The Habitats Suitability of Chub Mackerel ( Scomber Japonicus ) in the High Seas of the North Pacific Ocean Using Ensemble Models Under Medium to Long-Term Future Climate Scenarios
Опубликована: Янв. 1, 2024
Understanding
and
forecasting
changes
in
marine
habitats
due
to
global
climate
warming
is
crucial
for
sustainable
fisheries.
Using
future
environmental
data
provided
by
Global
Climate
Models
(GCMs)
occurrence
records
of
Chub
mackerel
the
North
Pacific
Ocean
(2014-2023),
we
built
eight
individual
models
four
ensemble
simulate
current
habitat
distribution
forecast
under
three
scenarios
(SSP1-2.6,
SSP2-4.5,
SSP5-8.5)
2050s
2100s.
Ensemble
outperformed
ones,
with
weighted
average
algorithm
model
achieving
highest
accuracy
(AUC
0.992,
TSS
0.926).
Sea
surface
temperature
(SST)
chlorophyll-a
(Chla)
significantly
influenced
distribution.
Predictions
indicate
high
suitability
areas
are
concentrated
beyond
200-nautical-mile
baseline.
Under
scenarios,
expected
decline,
a
shift
towards
higher
latitudes
deeper
waters.
High
will
be
reduced.
Язык: Английский