Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 9, 2025
As
a
key
food
production
base,
land
use
changes
in
the
Jianghan
Plain
(JHP)
significantly
affect
surface
landscape
structure
and
ecological
risks,
posing
challenges
to
security.
Assessing
risk
of
JHP,
identifying
its
drivers,
predicting
trends
under
different
scenarios
can
provide
strategic
support
for
management
safeguarding
security
JHP.
In
this
study,
(LER)
index
was
constructed
by
integrating
indices
from
2000
2020,
firstly
analyzing
spatiotemporal
characteristics,
subsequently
influencing
factors
using
GeoDetector
model,
finally,
simulating
four
Markov-PLUS
model.
The
results
showed
that:
(1)
Cropland
dominant
use,
most
significant
decreases
increases
occurred
cropland
built-up
land,
respectively.
primary
conversion
interconversion
water
body.
(2)
LER
exhibited
trend
initially
increasing
decreasing,
levels
were
predominantly
medium
higher.
spatial
pattern
high
southeast
low
central
northern
areas.
(3)
patterns
resulted
combined
effect
multiple
mainly
influenced
natural
environment,
which
NDVI
first
factor.
(4)
intensity
higher
economic
development
than
protection
scenarios,
predicted
2030
former
latter
two.
These
findings
are
important
formulating
scientific
reasonable
planning
strategies
balance
growth
preservation
maintain
sustainability
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.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 515 - 515
Published: March 1, 2025
Understanding
the
changes
in
ecosystem
quality
caused
by
land
use
is
critical
for
sustainable
urban
development
and
environmental
management.
This
study
investigates
spatial-temporal
evolution
of
Wuhan
from
2000
to
2020
forecasts
future
trends
under
multiple
scenarios
2030.
Using
a
“foundation-function-structure”
assessment
framework,
we
integrate
system
dynamics
(SD),
Patch-generating
Land
Use
Simulation
(PLUS)
model,
neural
network-based
inversion
model
analyze
transitions
their
ecological
impacts.
The
results
indicate
that
rapid
expansion
has
significantly
contributed
decline
cropland
forest
areas,
while
impervious
surfaces
have
increased,
leading
notable
degradation.
Simulations
2030
three
scenarios—ecological
protection,
natural
development,
economic
priority—demonstrate
protection
scenario
yields
highest
quality,
preserving
landscape
connectivity
mitigating
degradation
risks.
In
contrast,
priority
extensive
expansion,
exacerbating
stress.
Under
2023,
was
primarily
due
fringes
erosion
grassland
areas.
increase
mainly
attributed
transformation
early
edge
conflict
zones
into
stable
interior
areas
integration
fragmented
patches.
These
findings
highlight
need
strategic
planning
balance
growth
conservation.
provides
robust
methodological
framework
assessing
predicting
changes,
offering
valuable
insights
policymakers
planners
striving
development.
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%
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(5), P. e0321762 - e0321762
Published: May 7, 2025
The
rapid
development
of
oasis
desert
cities
adversely
affects
fragile
ecosystems,
preventing
regional
sustainable
development.
This
study
investigates
the
spatiotemporal
evolution
characteristics
and
potential
quantitative
relationship
between
landscape
structure
(OLS)
ecological
risk
index
(ERI)
trend
in
different
scenarios
Tiemenguan
City,
a
typical
city
an
arid
zone
northwestern
China,
from
1990
to
2020.
We
calculated
ERI
thresholds
for
types,
classified
levels,
examined
factors
influencing
risk.
normalized
difference
vegetation
(NDVI)
were
NDVI
≥
30%
oases,
10%
<NDVI
<
transition
zones,
≤
areas.
Under
government
control,
transitions
cropland,
woodland,
grassland
built-up
unused
land
decreased
by
20%,
whereas
conversions
increased
30%.
results
showed
following:
(1)
area
expanded
continuously
175.5
km
2
345.3
during
30
years.
zones
49.7%
37.9%,
respectively.
was
strongly
correlated
with
OLS.
zone-transition
zone-desert
0.08–0.085
0.111–0.118,
(2)
Socioeconomic
factors,
including
infrastructure
expansion,
population
density,
GDP,
dominant
influences,
contributing
64%
ERI,
influence
natural
such
as
climate
declined.
(3)
low-ERI
areas
3.3%
under
significantly,
slowing
growth
rate
zone.
quantitatively
evaluated
types’
levels
analyzed
effects
dynamic
migration
on
type
stability.
paper
provides
systematic
research
framework
assessment
various
types
scientific
basis
conservation
related
research.
Journal of Hydrology Regional Studies,
Journal Year:
2024,
Volume and Issue:
54, P. 101911 - 101911
Published: July 26, 2024
Sanjiang
Plain,
China
The
characterization
of
groundwater
drought
is
inadequate,
particularly
in
terms
the
differences
propagation
dynamics
between
cropland
and
other
regions.
In
this
study,
we
identified
events
characteristics
using
standardized
index
(SGDI);
also
quantified
mechanism
dynamic
factors
influencing
based
on
geodetector
method
wavelet
coherence
analysis
discussed
correlation
NDVI
SGDI.
New
Hydrological
Insights
for
Region:
time
was
shorter
during
summer
longer
spring
autumn
irrigated
areas
than
nonirrigated
areas.
system
exhibited
greater
resistance
to
summer,
spatially
area
more
vulnerable
meteorological
drought.
factor
that
best
explained
variation
threshold
differed
across
seasons.
A
significant
time-frequency
domain
existed
all
SGDI
area,
with
exhibiting
fastest
response
soil
moisture.
relationship
characterized
by
a
discontinuous
less
8
months
continuous
30
months.
correlations
exhibit
different
changes
due
exploitation
plant
physiology
artificial
crops
natural
vegetation.
Land,
Journal Year:
2024,
Volume and Issue:
13(9), P. 1407 - 1407
Published: Sept. 1, 2024
Wetlands
play
a
crucial
role
in
maintaining
biodiversity
and
ecological
balance.
Preserving
the
security
of
wetlands
is
critically
important
for
regional
environmental
protection
sustainable
development.
However,
core
area
Wuhan
metropolitan
circle,
which
rapidly
urbanizing,
its
are
more
susceptible
to
external
natural
risks,
such
as
changes
temperature
rainfall,
well
risks
human
activity,
social
economic
activities,
urban
expansion,
land
use
changes,
population
growth.
Meanwhile,
internal
vulnerability
terms
their
spatial
extent,
structure,
functions
also
exacerbates
risks.
These
factors
collectively
influence
formation
development
wetland
This
study
aims
comprehensively
assess
circle
by
combining
hazards
vulnerabilities
construct
optimize
wetlands’
pattern.
We
used
MSPA
method
identify
potential
sources.
Additionally,
MCR
model
was
employed
integrate
risk
assessment
results
into
resistance
surface,
corridors
nodes,
pattern
propose
specific
optimization
strategies.
In
total,
31
primary
106
secondary
sources
were
selected,
along
with
20
42
nodes.
Furthermore,
10
major
constructed.
Considering
landscape
characteristics
southern
Yangtze
River
region
will
center
around
Liangzi
Lake
group
establish
corridor
network,
promoting
overall
restoration
connectivity.
northern
form
chain-like
distribution
river,
creating
diverse
ecosystems.
provides
theoretical
foundation
constructing
optimizing
wetlands,
laying
solid
groundwork
conservation
Land,
Journal Year:
2024,
Volume and Issue:
13(7), P. 1059 - 1059
Published: July 15, 2024
Based
on
five
periods
of
Landsat
remote
sensing
data
from
1980
to
2020,
this
study
constructs
a
landscape
ecological
risk-ecosystem
service
value
evaluation
model
and
integrates
it
with
geodetector
analyse
the
environmental
benefits
development
“production–living–ecological
space”
pattern
its
driving
factors
in
Xuzhou
planning
area.
The
results
are
as
follows:
(1)
Over
past
40
years,
expansion
living
spaces
has
significantly
encroached
upon
adjacent
agricultural
production
areas
spaces,
such
forests
grasslands.
Specifically,
land,
forests,
grassland
have
been
diminished
by
277.39
km2,
23.8
km2
12.93
respectively;
contrast,
urban
rural
increased
238.62
58.92
alongside
rise
industrial
areas,
water
bodies,
other
spaces.
(2)
Throughout
40-year
period,
both
risk
(ERI)
ecosystem
(ESV)
area
shown
decreasing
trend.
proportion
high-
medium-high-risk
ERI
decreased
5.19%
7.50%,
respectively,
while
low,
lower,
medium
6.40%,
3.22%
3.07%,
respectively.
In
addition,
low-ESV
14.22%,
medium-high-ESV
1.16%.
(3)
There
is
significant
positive
spatial
correlation
between
ESV.
Regions
dense
comprising
grasslands,
particularly
northeastern
part
Jiawang
District
southeastern
Tongshan
District,
demonstrate
superior
regional
quality.
ESV
dominated
“high–high”
“low–high”
aggregation.
Conversely,
southwestern
area,
space
led
transformation
some
forest
into
less
risky
construction
resulting
decline
quality
services.
local
changed
“high–high”,
“low–low”,
agglomeration
“low–low”
agglomeration.
(4)
Key
influencing
differentiation
include
GDP,
population
density,
soil
type,
distance
towns
roads.
Among
these,
interaction
density
type
most
effect
changes
space”.
