Sustainability,
Journal Year:
2025,
Volume and Issue:
17(8), P. 3371 - 3371
Published: April 10, 2025
Megacities
in
developing
countries
are
still
undergoing
rapid
urbanization,
with
different
cities
exhibiting
ecosystem
services
(ESs)
heterogeneity.
Evaluating
ESs
among
various
and
analyzing
the
influencing
factors
from
a
resilience
perspective
can
effectively
enhance
ability
of
to
deal
react
quickly
risks
uncertainty.
This
approach
is
also
crucial
for
optimizing
ecological
security
patterns.
study
focuses
on
Xi’an
Jinan,
two
important
megacities
along
Yellow
River
China.
First,
we
quantified
four
both
cities:
carbon
storage
(CS),
habitat
quality
(HQ),
food
production
(FP),
soil
conservation
(SC).
Second,
analyzed
synergies
trade-offs
between
these
using
bivariate
local
spatial
autocorrelation
Spearman’s
rank
correlation
coefficient.
Finally,
conducted
driver
analysis
Geographic
Detector.
Results:
(1)
The
temporal
distribution
Jinan
quite
different,
but
show
lower
ES
levels
urban
core
area.
(2)
showed
strong
synergistic
effect.
Among
them,
CS-HQ
had
strongest
synergy
0.93.
In
terms
space,
north
dominated
by
low–low
clustering,
while
south
high–high
clustering.
FP-SC
trade-off
effect
−0.35
2000,
which
gradually
weakened
over
time
was
mainly
distributed
northern
area
city
where
cropland
construction
were
concentrated.
(3)
Edge
density,
patch
NDVI
have
greatest
influence
CS
Jinan.
DEM,
slope,
density
HQ.
Temperature,
edge
impact
temperature
FP
cities.
SC.
Landscape
fragmentation
has
great
CS,
HQ,
SC
Due
insufficient
research
data,
this
focused
only
middle
reaches
River.
However,
results
provide
new
solving
problem
regional
sustainable
development
directions
ideas
follow-up
field.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
80, P. 102460 - 102460
Published: Jan. 5, 2024
Spatial
reconstruction
and
scenario
simulation
of
historical
processes
future
trends
land
use/cover
change
(LUCC)
can
help
to
reveal
the
background
conversion
spatial
distribution
land.
Moreover,
there
is
a
close
relationship
between
spatiotemporal
dynamics
changes
in
different
ecosystem
services
(ESs).
Using
this
simulate
use
scenarios
important.
In
study,
an
LUCC
dynamic
analysis
framework
(LSTM-PLUS-FMOP)
was
constructed
based
on
deep
learning
time
series
forecasting
model
(LSTM),
parallelized
urban
(PLUS)
fuzzy
multiobjective
programming
(FMOP)
model.
The
PLUS
used
analyze
driving
mechanism
expansion
explore
pattern.
addition,
three
were
established:
natural
(NLE),
economic
development
priority
(EDP)
regional
sustainable
(RSD).
FMOP
ES
perform
conversion.
uncertainty
parameters
treated
by
intuitionistic
numbers
(IFSs).
This
study
applied
Yellow
River
Basin
Shaanxi
Province
(YRB-SX).
results
showed
that
(1)
from
2000
2020,
cropland
area
YRB-SX
continuously
decreased
12.67
×
104
ha,
while
built-up
increased
28.25
ha.
net
reduction
woodland
grassland
13.90
(2)
relative
error
range
prediction
using
LSTM
0.0003–
0.0042.
had
better
accuracy
than
Markov
chain
(3)
0.26%
0.85%
1.68%
(RSD)
under
scenarios.
25.01%,
32.76%
14.72%,
respectively.
RSD
followed
principles
ecological
protection
constraints,
which
mitigated
degradation
some
extent.
coupled
will
obtain
allocation
schemes
meet
requirements
provide
solutions
for
rational
management.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 1, 2024
Abstract
The
Ebinur
Lake
Basin
is
an
ecologically
sensitive
area
in
arid
region.
Investigating
its
land
use
and
cover
(LULC)
change
assessing
predicting
ecosystem
service
value
(ESV)
are
of
great
importance
for
the
stability
basin's
socioeconomic
development
sustainable
ecological
environment.
Based
on
LULC
data
from
1990,
2000,
2010,
2020,
we
assessed
ESV
coupled
grey
multi-objective
optimization
model
with
patch
generation
simulation
to
predict
changes
2035
under
four
scenarios:
business-as-usual
(BAU)
development,
rapid
economic
(RED),
protection
(ELP),
ecological–economic
balance
(EEB).
results
show
that
1990
basin
was
dominated
by
grassland
(51.23%)
unused
(27.6%),
a
continuous
decrease
increase
cultivated
land.
In
thirty
years,
total
study
increased
18.62
billion
67.28
yuan,
regulation
support
services
being
dominant
functions.
By
2035,
while
decreased
all
scenarios
compared
2020.
BAU,
RED,
ELP,
EEB
68.83
billion,
64.47
67.99
66.79
respectively.
RED
scenarios,
2.81
0.49
BAU
scenario,
provisioning
6.05%
2.93%,
ELP
focusing
environmental
protection,
saw
services.
This
paper
can
assist
policymakers
optimizing
allocation
provide
scientific
formulation
strategies
inland
river
basins
regions.
Land,
Journal Year:
2024,
Volume and Issue:
13(4), P. 550 - 550
Published: April 20, 2024
The
serious
problem
of
soil
erosion
not
only
has
a
profound
impact
on
people’s
lives
but
also
results
in
series
ecological
and
environmental
challenges.
To
determine
the
changes
land
use
type
urban
agglomeration
northern
slopes
Tianshan
Mountains,
this
study
commences
by
employing
InVEST-SDR
(integrated
valuation
ecosystem
services
tradeoffs–sediment
delivery
ratio)
model
to
calculate
levels
spanning
from
2000
2020.
Subsequently,
it
forecasts
cover
(LULC)
conditions
for
year
2030
under
three
scenarios:
Q1
(natural
development),
Q2
(ecological
protection),
Q3
(economic
priority).
This
projection
is
accomplished
through
integration
coupled
Markov
chain
multi-objective
planning
(MOP)
alongside
patch-generating
simulation
(PLUS)
models.
Ultimately,
based
these
outcomes,
predicts
2030.
There
been
consistent
decline
2020
with
high-intensity
concentrated
Mountain
region.
Grasslands,
glaciers,
permafrost
are
identified
as
most
erosion-prone
types
area,
forests
exhibiting
highest
capacity
retention.
Converting
grassland
barren
forest
within
same
area
substantial
reduction
erosion,
specifically
27.3%
46.3%,
respectively.
Furthermore,
transformation
leads
noteworthy
19%
decrease
erosion.
Over
past
two
decades,
witnessed
significant
grasslands,
notable
shift
towards
impervious
surfaces
due
economic
development
mining
activities.
predicted
scenarios
depict
expansion
land,
grassland,
Soil
decreases
different
shared
socio-economic
pathway
(SSP)
relative
an
increase
scenario
scenario,
whereas
amount
exhibits
continued
when
effect
change
considered.
Persistently
rapid
can
exacerbate
problems,
underscoring
need
find
balance
between
growth
conservation.
As
slows
down,
greater
emphasis
should
be
placed
protection
maintain
stability.
