Land,
Journal Year:
2023,
Volume and Issue:
12(9), P. 1736 - 1736
Published: Sept. 6, 2023
The
Yellow
River
Basin
(YRB)
stands
as
one
of
China’s
most
significant
river
basins,
and
the
maintenance
its
ecological
functionality
is
paramount
importance
for
national
well-being.
Guanzhong
Plain
Urban
Agglomeration
(GPUA),
situated
in
middle
reaches
YRB,
represents
central
hub
human
activities.
rapid
expansion
cities
within
this
region
poses
formidable
challenges
to
security
framework
highly
sensitive
YRB.
In
study,
dynamic
equivalent
coefficient
method
was
employed
evaluate
changes
Ecological
Service
Values
(ESVs)
GPUA
from
1990
2020,
well
costs
incurred
due
urban
expansion.
results
indicate
following:
(1)
Over
past
three
decades,
land-use
pattern
has
undergone
transformations.
area
designated
development
expanded
by
a
factor
1.16
compared
original
extent,
while
areas
encompassing
forests,
shrubs,
agricultural
land,
grassland,
wetland,
bare
land
have
experienced
continuous
reductions.
(2)
ESV
study
displays
declining
trend
initially,
followed
subsequent
increase
over
30-year
period.
Forests
play
predominant
role
contributing
GPUA,
with
regulating
services
supporting
standing
out
primary
ecosystem
functions.
(3)
between
2020
resulted
net
loss
3772.10
km2
land.
associated
soar
an
astonishing
CNY
2.54
billion,
highest
attributed
hydrological
regulation
soil
conservation
services;
issue
demands
attention.
outcomes
research
contribute
better
comprehension
benefits
that
accompany
agglomerations
Furthermore,
they
provide
invaluable
insights
decision
makers
seeking
implement
more
effective
strategies
sustainable
management.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110740 - 110740
Published: Aug. 1, 2023
Building
regional
ecological
network
can
alleviate
the
notable
contradiction
between
land
use
and
development
in
process
of
rapid
urbanization.
Suzhou
is
center
city
Yangtze
River
Delta
urban
cluster
a
typical
water
city,
but
high
intensity
has
fragmented
its
space.
The
study
firstly
introduced
patch
generation
simulation
(PLUS)
model
to
simulate
under
priority
scenario
2032,
combining
data
2002,
2012
2022
provide
basis
for
construction
later
stage.
Secondly,
sources
four
periods
were
identified
by
morphological
spatial
pattern
analysis
(MSPA)
landscape
connectivity
analysis,
corridors
nodes
each
period
screened
classified
minimum
cumulative
resistance
(MCR)
model,
gravity
hydrological
analysis.
Then
we
superimposed
sources,
corridors,
construct
an
that
develop
harmony
with
dynamics.
Finally,
degree
optimization
was
verified
structural
evaluation
comparison
2022.
results
indicate
(1)
largest
area
among
types,
good
substrate.
Under
guidance
green
strategy,
woodland
grassland
areas
will
slightly
increase
2032.
overall
generally
remain
consistent
2022,
fragmentation
be
mitigated.
(2)
A
total
23
are
identified,
mainly
located
near
Taihu
Lake,
Yangcheng
Lake
River.
Among
them,
most
important
source.
76
screened,
including
31
22
protected
potential
mostly
corridors.
54
selected,
divided
into
21
general
strategic
points,
12
11
restorative
points
10
break
points.
(3)
plan
forms
"three
cores,
pieces,
multiple
sources"
proposes
corresponding
refined
management
measures
promote
sustainable
region.
In
addition,
this
aims
propose
framework
coupled
simulation,
which
new
ideas
similar
regions
affected
urbanization
around
globe.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
11
Published: Feb. 5, 2024
Introduction:
Against
the
background
of
rapid
global
urbanization,
urban
space
expansion
has
led
to
increasingly
acute
land-use
conflicts.
Accurately
understanding
spatial
and
temporal
evolution
characteristics
conflict
patterns
measuring
level
conflicts
are
crucial
for
intensifying
sustainable
use
management
land
resources.
Existing
research
focuses
on
analyzing
current
status
conflicts,
while
there
is
limited
discussion
tracking
spatial-temporal
dynamic
simulating
future
trends.
Method:
In
this
paper,
was
measured
by
constructing
a
comprehensive
index
(SCCI)
model,
spatio-temporal
in
Harbin-Changchun
agglomeration
from
2000
2020
discussed.
addition,
PLUS
model
used
simulate
predict
pattern
2030,
finally
put
forward
control
strategy.
Results:
Result
shows
that:
(1)
Over
past
20
years,
expanded
rapidly
with
two
provincial
capitals
as
growth
poles.
Land-use
generally
exhibit
distribution
“high
west
low
east,
high
core
periphery.”
(2)
During
have
intensified
initially
then
eased.
Severe
uncontrolled
concentrated
transition
zone
between
rural
areas
agglomerations.
(3)
Agricultural
resource
key
area
contested
different
interest
subjects
process
development
utilization.
Discussion:
The
agricultural
priority
scenario
proves
be
most
effective
controlling
However,
single
cannot
adequately
address
multiple
rights
interests.
Therefore,
modes
should
implemented
areas.
purpose
paper
provide
scientific
strategies
suggestions
agglomerations
achieving
regional
use.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111819 - 111819
Published: March 1, 2024
Understanding
the
spatial
and
temporal
differentiation
of
ecosystem
service
value
(ESV)
brought
about
by
land
use/land
cover
(LULC)
transformation
is
significance
to
management
policy
making
decision
supports.
In
this
research,
upper
basin
Miyun
Reservoir
in
northern
Beijing
was
chosen
as
study
area
because
its
importance
ecological
security
Beijing,
Capital
City
China.
The
equivalent
factor
method
used
evaluate
ESV,
responses
variations
ESV
LULC
transformations
were
explored
gridding
autocorrelation
analysis
during
years
1990–2020.
results
indicate
that
total
increase
from
19.367
billion
Yuan
20.419
Forest
most
significant
type
contributing
over
85%
each
year
more
than
50%
changes
ESV.
continuous
grassland,
cropland
shrub
forest
main
reason
for
area.
geographical
distribution
directly
influences
characteristics
resulting
a
strong
positive
around
reflect
conflict
between
human
activities
protection.
recommendation
limit
expansion
construction
with
high
efficiency
expand
water
continuously
This
provides
support
use
planning,
health
environmental
protection
well
methodological
references
exploration
hilly
areas
facing
economic
development
Land,
Journal Year:
2024,
Volume and Issue:
13(4), P. 421 - 421
Published: March 26, 2024
The
relationship
between
land
use
changes
and
regional
carbon
storage
is
closely
linked.
Identifying
evolving
trends
concerning
influencing
factors
on
under
future
scenarios
key
in
order
to
achieve
the
“dual
carbon”
goals.
Using
Chongqing
as
a
case
study,
this
study
integrated
advantages
of
PLUS
model,
InVEST
geographic
detector
model.
It
conducted
simulations
type
data
natural
development
(ND)
ecological
protection
(EP),
identified
regarding
storage.
results
were
follows:
(1)
model
demonstrated
excellent
simulation
performance,
with
Kappa
coefficient
above
0.85
an
overall
accuracy
0.90.
During
period,
significant
occurred
for
cultivated
land,
forested
water
bodies,
construction,
which
related
storage;
(2)
showed
decreasing
trend,
decrease
10.07
×
106
t
C
from
2000
2020.
Under
ND
scenario,
was
projected
by
10.54
2030
compared
2020,
it
expected
stabilize
2050.
At
county
level,
Youyang,
Fengjie,
Wuxi
had
highest
storage,
while
Nanchuan,
Jiangbei,
Dadukou
lowest;
(3)
spatial
distribution
presented
“eastern
hotspot
western
cold
spot
aggregation”
pattern.
proportions
regions
decreased,
unchanged,
increased
aggregation
during
2000–2010
2010–2020
2.99%,
95.95%,
1.06%;
4.39%,
92.40%,
3.21%,
respectively.
trend
indicated
stabilize;
(4)
elevation,
terrain
fluctuation,
NDVI,
annual
average
temperature,
precipitation,
nighttime
light
index
influence
values
0.88,
0.81,
0.61,
0.86,
0.77,
0.81
respectively,
different
combinations
having
greater
impact.
In
future,
priority
green
concepts
should
be
followed,
comprehensive
improvement
conditions
pursued
enhance
thereby
promoting
achievement
This
provided
analytical
path
support
formulating
optimized
policies
at
level.
Land,
Journal Year:
2025,
Volume and Issue:
14(2), P. 408 - 408
Published: Feb. 16, 2025
Urbanization
and
economic
growth
have
substantially
modified
the
land
utilization
structure,
affecting
ecosystem
services
their
spatial
distribution.
As
a
crucial
component
of
Beijing’s
urban
framework,
city’s
green
belts,
located
at
periphery
its
core
metropolitan
area,
play
vital
role
in
supplying
services.
They
also
represent
focal
point
for
use
transformation
conflicts,
making
them
an
important
study
area.
This
research
utilizes
data
from
2000,
2005,
2010,
2015,
2020
as
primary
dataset.
It
adopts
standard
equivalent
factor
integrates
it
with
Patch-Generaling
Land
Use
Simulation
(PLUS)
model
to
belts
2035
under
three
scenarios:
natural
development
scenario
(NDS),
ecological
protection
(EPS)
cultivated
(CPS).
The
aims
analyze
project
temporal
evolution
service
values
(ESVs)
different
scenarios
Beijing.
results
indicate
that
(1)
is
dominated
by
cropland
construction
land.
Construction
has
expanded
significantly
since
increasing
500.78
km2,
while
decreased
488.47
km2.
Woodland,
grassland,
water
seen
reduction.
Overall,
there
trend
woodland
being
converted
into
cropland,
subsequently
transitioning
(2)
In
NDS,
increases
91.76
decrease.
EDS,
decelerates
22.09
reduction
decelerates,
conversion
limited.
Grassland
remain
largely
unchanged,
experiences
slight
increase.
CPS,
notably
reduced,
11.97
slightly,
grassland
decreasing
slightly.
(3)
ESV
ranking
across
follows:
EPS
1830.72
mln
yuan
>
CPS
1816.23
NDS
1723.28
yuan.
Hydrological
regulation
climate
are
dominant
all
scenarios.
attains
greatest
gains.
contributes
understanding
effects
changes
on
ESV,
offering
valuable
empirical
evidence
sustainable
decision-making
swiftly
urbanizing
areas.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2194 - 2194
Published: March 3, 2025
Land
use
land
cover
(LULC)
changes
due
to
rapid
urbanization
pose
critical
challenges
sustainable
development,
particularly
in
arid
and
semi-arid
regions
like
Saudi
Arabia,
where
cities
such
as
Abha
are
experiencing
unprecedented
expansion.
Urban
sprawl
is
accelerating
environmental
degradation,
affecting
key
natural
resources
vegetation,
water
bodies,
barren
land.
This
study
introduces
an
advanced
machine
learning
(ML)
deep
(DL)-based
framework
for
high-accuracy
LULC
classification,
urban
quantification,
ecosystem
service
assessment,
providing
a
more
precise
scalable
approach
compared
traditional
remote
sensing
techniques.
A
hybrid
methodology
combining
ML
models—Random
Forest,
Artificial
Neural
Networks,
Gradient
Boosting
Machine,
LightGBM—with
1D
Convolutional
Network
(CNN)
was
fine-tuned
using
grid
search
optimization
enhance
classification
accuracy.
The
integration
of
improves
feature
extraction
consistency,
achieving
AUC
0.93
Dense
Vegetation
0.82
Cropland,
outperforming
conventional
methods.
also
applies
the
Markov
transition
model
project
changes,
offering
probabilistic
understanding
expansion
trends
dynamics,
significant
improvement
over
static
assessments
by
quantifying
probabilities
predicting
future
transformations.
results
reveal
that
areas
expanded
120.74
km2
between
2014
2023,
with
decreasing
557.09
cropland
increasing
205.14
km2.
peak
value
(ESV)
loss
recorded
at
USD
125,662.7
2017
2020,
but
subsequent
management
efforts
improved
ESV
96,769.5
2023.
resilience
recovery
types,
(44,163
recovered
2023),
indicate
potential
targeted
restoration
strategies.
advances
sustainability
research
integrating
state-of-the-art
models
Markov-based
change
predictions,
enhancing
accuracy
predictive
capability
assessments.
findings
highlight
need
proactive
policies
mitigate
adverse
effects
promote
recovery.
methodological
advancements
presented
this
provide
adaptable
impact
assessments,
rapidly
developing
regions.