Identification of Ecological Functional Areas and Scenario Simulation Analysis of the Wanjiang Urban Belt from a Trade-Off/Synergy Perspective
Yuchun Wang,
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Yvonne Ang,
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Yingying Zhang
No information about this author
et al.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 444 - 444
Published: Feb. 20, 2025
Identifying
ecological
functional
areas
by
clarifying
the
trade-off
synergies
of
multiple
ecosystem
services
to
meet
practical
needs
coordinating
different
in
a
specific
region
is
highly
important.
Based
on
InVEST,
RUSLE
and
other
models,
this
study
analyzed
tradeoff
five
typical
Wanjiang
Urban
Belt
from
1990
2020
using
Pearson
correlation
analysis,
self-organizing
map
(SOM)
carried
out
zoning.
The
PLUS
model
was
used
simulate
evolution
zones
2030.
results
revealed
that
(1)
2020,
water
yield
(WY),
soil
reservation
(SR),
food
production
(FP)
increased,
whereas
carbon
storage
(CS)
habitat
quality
(HQ)
decreased.
value
showed
pattern
“high
south
low
north”.
(2)
WY–SR,
WY–HQ,
HQ–CS,
HQ–SR
were
synergistic,
synergistic
relationship
weakening
trend.
There
trade-offs
WY–CS,
WY–FP,
SR–FP,
effects
increased
with
time.
(3)
area
divided
into
an
transition
area,
conservation
urban
development
restoration
agroecological
functions
structures
each
cluster
significantly
differed.
(4)
Under
natural
scenario,
scales
transition,
conservation,
increased.
cropland
protection
began
transform
areas.
transfer
restoration,
In
conclusion,
are
dominated
effects,
but
there
potential
risk
shifting
relationships.
future,
targeted
regional
optimization
measures
according
status
zone
urgently
needed
provide
references
for
territorial
space
management
control
region.
Language: Английский
Biomod2 for evaluating the changes in the spatiotemporal distribution of Locusta migratoria tibetensis Chen in the Qinghai-Tibet Plateau under climate change
Global Ecology and Conservation,
Journal Year:
2025,
Volume and Issue:
unknown, P. e03508 - e03508
Published: Feb. 1, 2025
Language: Английский
Unveiling the Spatial Variation in Ecosystem Services Interactions and Their Drivers Within the National Key Ecological Function Zones, China
Tingjing Zhang,
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Quanqin Shao,
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Haibo Huang
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et al.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(9), P. 1559 - 1559
Published: April 27, 2025
Understanding
the
spatial
differentiation
of
ecosystem
service
(ES)
interactions
and
their
underlying
driving
mechanisms
is
crucial
for
effective
management
enhancing
regional
landscape
sustainability.
However,
comprehensive
analyses
effects
key
influencing
factors
on
ES
remains
limited,
especially
regarding
nonlinear
heterogeneity.
We
assessed
validated
five
in
National
Key
Ecological
Function
Zones
(NKEFZs)
China—net
primary
productivity
(NPP),
soil
conservation
(SC),
sandstorm
prevention
(SP),
water
retention
(WR),
biodiversity
maintenance
(BM).
By
integrating
optimal
parameter
geographical
detector
with
constraint
line
methods,
we
further
explored
complex
responses
to
across
different
functional
zones.
The
results
showed
that
most
exhibited
significant
synergistic
clustering.
In
contrast,
widespread
trade-off
clustering
was
detected
pairs
related
WR,
mainly
distributed
Tibetan
Plateau,
northeast
China,
Southern
Hills
region.
Due
improvement
ES,
overall
synergies
enhanced
from
2000
2020.
dominant
zones
influenced
a
non-stationary
manner,
same
potentially
showing
diverse
effect
types
sub-regions.
Additionally,
role
configuration
sub-regions
specific
interaction
(e.g.,
WR-NPP
SP
zones),
suggesting
potential
achieving
multi-ES
through
planning
without
altering
composition.
This
research
provides
valuable
insights
into
understanding
offers
scientific
foundation
implementation
ecological
protection
restoration
plans.
Language: Английский
CMIP6-driven 10 km super-resolution daily climate projections with PET estimates in China
Fuyao Zhang,
No information about this author
Xiubin Li,
No information about this author
Xue Wang
No information about this author
et al.
Scientific Data,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: April 30, 2025
Global
warming
has
intensified
extreme
weather
events,
posing
challenges
to
regional
climate
and
hydro-ecological
systems.
To
address
the
low-resolution
limitations
of
current
multi-climate
variables
potential
evapotranspiration
(PET),
this
study
develops
a
super-resolution
fusion
framework
based
on
deep
residual
attention
mechanisms,
establishing
China's
10-km
resolution
multi-model-multi-scenario
high-resolution
PET
dataset
(SRCPCN10).
The
Residual
Channel
Attention
Network
(RCAN)
demonstrates
exceptional
downscaling
performance
for
temperature,
radiation,
pressure
(R2/KGE
>
0.99),
while
precipitation
exhibits
significantly
lower
accuracy
(R2
=
0.897)
due
spatial
discontinuity.
findings
reveal
distinct
emission-gradient
responses
in
future
under
SSP
scenarios,
with
increases
escalating
alongside
radiative
forcing
intensification.
comparison
annual
mean
differences
between
original
CMIP6
downscaled
data
showed
excellent
agreement,
most
indices
differing
by
less
than
1%.
This
work
overcomes
traditional
limitations,
providing
kilometer-scale
multivariate
watershed
hydrological
modeling,
agricultural
risk
assessment,
carbon-neutral
pathway
optimization,
enhancing
precision
adaptation
strategies.
Language: Английский