Sustainability,
Journal Year:
2024,
Volume and Issue:
16(24), P. 10992 - 10992
Published: Dec. 14, 2024
Ecological
zoning
is
essential
for
optimizing
regional
ecological
management
and
improving
environmental
protection
efficiency.
While
previous
studies
have
primarily
focused
on
the
independent
analysis
of
land
use
intensity
(LUI)
landscape
risk
(LER),
there
has
been
limited
research
their
coupled
relationship.
This
study,
conducted
in
Western
Jilin
(WJL),
introduces
an
innovative
method
based
Production–Living–Ecological
Space
(PLES)
framework,
which
explores
interactions
between
LUI
LER,
filling
a
gap
existing
research.
The
employs
coupling
coordination
degree
(CCD)
model
Geographic
Information
System
(GIS)
technology
to
construct
LUI-ERI
model,
used
delineate
zones.
results
indicate
that:
(1)
PLES
study
area
predominantly
production
space
(PS),
with
largest
transfer
being
(PES)
2784.23
km2,
most
significant
PS
3112.33
km2.
(2)
Between
2000
2020,
both
LER
exhibited
downward
trends,
opposite
spatial
distribution
characteristics.
“middle”
zone
“highest”
were
dominant
types,
covering
approximately
46%
45%
total
area,
respectively.
(3)
showed
polarized
trend,
overall
upward
trajectory
from
2020.
(4)
WJL
can
be
categorized
into
core
(ECP)
zone,
potential
governance
(EPG)
comprehensive
monitoring
(ECM)
optimization
(EO)
restoration
(ER)
occupying
61.63%
area.
provides
novel
perspective
offers
systematic
scientific
basis
planning.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(1), P. e0317851 - e0317851
Published: Jan. 24, 2025
It
is
significant
to
research
the
ecological
risk
of
land
use
landscape
promote
conservation
and
restoration.
The
characteristics
dynamic
change
in
Baili
Rhododendron
National
Forest
Park
were
analyzed
based
on
GlobeLand30
data
for
three
periods
2000,
2010
2020.
With
support
evaluation
model
spatial
analysis
methods,
features
temporal
differentiation
its
correlation
study
area
evaluated.
results
show
that
(1)
pattern
changed
visibly
from
2000
2020,
comprehensive
land-use
dynamics
increased
8.53%
9.66%,
are
greatest
most
dramatically
construction
sites;
(2)
level
as
a
whole
showed
declining
trend,
96.82%
plot
index
decreased,
distribution
was
dominated
by
lower
risk,
medium
higher
areas;
(3)
spatially
positively
correlated
across
all
time
periods,
aggregation
gradually
weakened,
with
LH
HL
areas
dispersed
HH
LL
concentrated.
overall
has
witnessed
decline,
indicating
positive
trajectory
development
environment.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 11, 2025
The
ecological
research
of
regional
land
use
and
cover
change
(LULCC)
under
the
Shared
Socioeconomic
Pathway
(SSP)
Representative
Concentration
(RCP)
scenarios
proposed
by
IPCC
has
become
a
prominent
topic.
This
study
investigates
spatial
distribution
risks
associated
with
changes
in
arid
semi-arid
regions
Xinjiang
future
SSP-RCP
scenarios.
In
this
paper,
LUCC
data,
climate
soil
topographic
data
different
2100
were
adopted
to
construct
use/land
quality
index
(LQI),
(CQI),
(SQI)
respectively.
Using
as
case
study,
an
integrated
risk
model
was
constructed
through
LQI,
CQI
SQI.
By
2100,
LQI
areas
will
dominate,
accounting
for
approximately
70%
total
area.
Central
Xinjiang,
home
largest
desert
China—the
Taklimakan
Desert—predominantly
consists
Gobi,
where
is
generally
better
SSP-RCP126
scenario
compared
other
high
are
primarily
concentrated
mountainous,
Xinjiang.
SQI
remains
consistent
across
2100.
Under
SSP-RCP245
scenarios,
global
warming
effectively
mitigated,
leading
relatively
favorable
overall
However,
SSP-RCP370
SSP-RCP585
moderate,
high,
extremely
expand,
covering
50%
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 703 - 703
Published: March 26, 2025
Investigating
spatio-temporal
differentiation
patterns
of
land-use
conflicts
in
mountainous
and
flatland
regions
provides
critical
insights
for
optimizing
spatial
regulation
strategies
advancing
sustainable
regional
development.
Using
the
Urban
Agglomeration
Central
Yunnan
(UACY)
as
a
case
study,
production–living–ecological
space
(PLES)
was
classified
through
functional
dominance
analysis
based
on
2010–2020
geospatial
datasets.
Spatio-temporal
evolution
mountain–dam
were
analyzed
using
superposition,
dynamic
degree
analysis,
transfer
matrices,
TuPu
methods.
A
multi-scale
conflict
index
incorporating
landscape
metrics
developed
to
assess
PLES
intensities
across
scales,
with
contribution
indices
identifying
key
conflict-prone
types.
Analysis
revealed
distinct
distribution
evolutionary
trajectories
during
2010–2020.
Forest
Ecological
Space
(FES)
Agricultural
Production
(APS)
dominated
both
entire
study
area
zones,
APS
exhibiting
particular
dam
regions.
Grassland
(GES)
Other
(OES)
experienced
rapid
conversion
rates,
contrasting
stable
or
gradual
expansion
trends
other
Change
intensity
significantly
greater
zones
compared
(FA).
exhibited
marked
heterogeneity.
FA
demonstrated
substantially
higher
levels
than
evident
scale-dependent
variations.
Maximum
occurred
at
4000
m
scale,
all
scales
demonstrating
consistent
escalation
period.
ULS,
FES,
WES
predominantly
low-conflict
characterized
by
stability,
whereas
APS,
Industrial
Mining
(IMPS),
RLS,
GES,
OES
primarily
associated
high-conflict
areas,
constituting
principal
sources.
