Land Degradation and Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 6, 2025
ABSTRACT
Ecological
barrier
areas
are
the
natural
area
with
special
ecological
functions,
and
play
a
vital
role
in
maintaining
global
balance,
protecting
biodiversity,
regulating
climate.
They
also
profoundly
affect
local
social
system
inhabitants'
lifestyle.
Mitigating
trade‐offs
between
distinct
ecosystem
services
enhancing
social–ecological
coupling
essential
for
sustainable
development
of
areas.
However,
lack
integrating
them
on
topographical
gradient
features
compromises
our
ability
to
design
precise
interventions
regional
sustainability.
Taking
Sichuan‐Yunnan
Barrier
as
case
area,
this
study
developed
management
approach
by
service
interactions
under
multidimensional
gradients
provide
reference
assessing
improving
sustainability
area.
The
results
demonstrated
that
during
2010–2020,
topography
played
key
shaping
interactions,
hilly
showing
highest
synergistic
level
multiple
pairs.
high
relief
mountain
had
lowest
index
system;
decreased
rapidly
flatter
areas,
while
it
increased
low
middle
Based
above
multi‐dimensional
characteristics,
six
zones
were
subdivided
formulating
differentiated
strategies
This
research
provides
insights
regarding
territorial
spatial
strategies,
delivers
guidance
coordinating
relationships
systems
other
similar
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111845 - 111845
Published: March 1, 2024
This
research
centers
on
the
necessity
for
synchronized
management
of
natural
resources
in
urban
agglomerations.
study
utilizes
ecosystem
services
theory
to
analyze
interplay
between
land
use
and
Food-Water-Energy
(F-W-E)
nexus
Beijing-Tianjin-Hebei
(B-T-H)
region
from
2000
2030.
Assessment
is
conducted
using
InVEST
models,
which
include
Habitat
Quality
(HQ),
Water
Yield
(WY),
Carbon
Sequestration
(CS),
Soil
Retention
(SDR),
Food
Production
(FP).
The
findings
indicate
an
annual
increase
construction
with
a
concurrent
notable
decrease
cultivated
land.
Furthermore,
HQ,
CS,
per
capita
FP
show
decline
until
2020,
expected
continue
Conversely,
WY
SDR
have
been
growing
annually,
albeit
projected
by
Spearman
coefficient
analysis
uncovers
synergies
HQ
alongside
trade-offs
CS
WY.
Trade-offs
are
also
observed
SDR,
HQ.
Applying
K-means
clustering
facilitates
county-based
spatial
planning
F-W-E
system,
providing
crucial
insights
suggestions
sustainable
resource
management.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
81, P. 102584 - 102584
Published: April 6, 2024
The
study
of
ecosystem
service
value
(ESV)
response
to
landscape
pattern
evolution
has
become
a
research
hotspot
in
the
fields
geography
and
ecology,
however,
multi-scale
mechanism
ESV
change
Karst
region
is
still
unclear,
which
some
extent
restricts
precise
regulation
regional
ecosystems
multi-level
human-land
coupling
coordination.
This
focuses
on
Nanming
River
Basin
(NMRB)
Guizhou
Province,
representative
karst
basin
southern
China.
Using
various
methods
such
as
an
equivalent
factor,
index,
optimal
parameter
geo-detector(OPGD),
we
calculated
ESVs,
explored
spatial
temporal
from
2000
2020,
scientifically
analyzed
ESVs
at
sub-watershed
scale
(27
124
sub-watersheds)
grid
(2.4
km
×
2.4
1.2
grids),
respectively.
results
revealed
that
synergies
have
been
dominant
relationship
between
NMRB
since
beginning
21st
century.
At
sub-basin
scale,
shape
index
(LSI)
(21–43%)
coefficient
variation
(SHAPE_CV)
(20–35%)
were
main
drivers
geographical
differentiation
trade-offs/synergies
among
with
few
attenuation
effect
types
weakened
geographic
differentiation.
However,
two-factor
enhancement
nonlinear
exception.
patch
cohesion
(COHESION)
(4–49%)
contiguity
(CONTIG_MN)
(15–39%)
divergence
trade-offs/synergies,
factor
interactions
divergence.
COHESION
(3%–21%)
LSI
(4%–13%)
became
primary
influences
divergence,
no
independence
or
type
interactions.
are
crucial
for
optimising
services
formulating
appropriate
strategies
coordinating
ecological-economic
development
regions
China
around
world.
Frontiers in Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 18, 2025
Introduction
Machine
learning
techniques,
renowned
for
their
ability
to
process
complex
datasets
and
uncover
key
ecological
patterns,
have
become
increasingly
instrumental
in
assessing
ecosystem
services.
Methods
This
study
quantitatively
evaluates
individual
services—such
as
water
yield,
carbon
storage,
habitat
quality,
soil
conservation—on
the
Yunnan-Guizhou
Plateau
years
2000,
2010,
2020.
A
comprehensive
service
index
is
employed
assess
overall
capacity,
revealing
spatiotemporal
variations
services
exploring
trade-offs
synergies
among
them.
Additionally,
machine
models
identify
drivers
influencing
services,
informing
design
of
future
scenarios.
The
PLUS
model
used
project
land
use
changes
by
2035
under
three
scenarios—natural
development,
planning-oriented,
priority.
Based
on
simulation
results
these
scenarios,
InVEST
applied
evaluate
various
Results
During
2000-2020,
exhibited
significant
fluctuations,
driven
synergies.
Land
vegetation
cover
were
primary
factors
affecting
with
priority
scenario
demonstrating
best
performance
across
all
Discussion
research
integrates
model,
providing
more
efficient
data
interpretation
precise
design,
offering
new
insights
methodologies
managing
optimizing
Plateau.
These
findings
contribute
development
effective
protection
sustainable
strategies,
applicable
both
plateau
similar
regions.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 441 - 441
Published: Feb. 20, 2025
Under
climate
change
and
human
activities,
ecosystem
service
(ES)
research
lacks
systematic
approaches
scientific
depth.
This
study
develops
a
comprehensive
framework
integrating
advanced
models
to
predict
ESs,
analyze
interactions,
identify
key
drivers,
assess
spatial
effects
on
the
Zoigê
Plateau.
The
results
indicate
following:
(1)
From
2000
2020
across
three
2040
scenarios,
water
conservation
(WC)
improves,
while
carbon
storage
(CS)
habitat
quality
(HQ)
decline,
leading
overall
ES
degradation.
Core
areas
face
rising
degradation
risks
from
9%
29%
under
increasing
environmental
stress
(SSP119
SSP585).
(2)
importance
follows
HQ
>
CS
SC
WC,
with
bivariate
interactions
outperforming
single-factor
effects.
Future
scenarios
show
weakened
correlating
higher
ecological
stress,
indicating
stability
risks.
(3)
Land
use
(>40%
explanatory
power)
is
primary
driver,
urban
expansion,
slope,
evapotranspiration,
precipitation
contribute
(6–12%).
(4)
drivers
showed
weak
patterns
but
became
more
stable
future
suggesting
stronger
control.
provides
methodological
paradigm
for
analysis
supports
planning
in
alpine
wetland–grassland
regions.
