Engineering,
Journal Year:
2024,
Volume and Issue:
37, P. 182 - 195
Published: Feb. 1, 2024
Land
use/land
cover
represents
the
interactive
and
comprehensive
influences
between
human
activities
natural
conditions,
leading
to
potential
conflicts
among
human-related
issues
as
well
stakeholders.
This
study
introduced
economic
standards
for
farmers.
A
hybrid
approach
(CA-ABM)
of
cellular
automaton
(CA)
an
agent-based
model
(ABM)
was
developed
effectively
deal
with
social
land
use
synergic
examine
human–environment
interactions
projections
conversions
a
humid
basin
in
south
China.
Natural
attributes
socioeconomic
data
were
used
analyze
its
drivers
change.
The
major
modules
CA-ABM
are
initialization,
migration,
assets,
suitability,
land-use
change
decisions.
Empirical
estimates
factors
influencing
urban
conversion
probability
captured
using
parameters
based
on
spatial
logistic
regression
(SLR)
model.
Simultaneously,
multicriteria
evaluation
(MCE)
Markov
models
obtain
empirical
affecting
ecological
conversion.
An
CA-SLR-MCE-Markov
(ABCSMM)
proposed
explore
impacts
policies
can
reproduce
observed
patterns
provide
links
forest
transition
expansion
decisions
ecosystem
services.
results
demonstrated
simulations
under
multi-policy
scenarios,
revealing
usefulness
normative
research
management.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
82, P. 102763 - 102763
Published: Aug. 11, 2024
Urban
open
spaces
offer
both
environmental
and
social
benefits.
However,
comprehensive
studies
that
integrate
quantitative
qualitative
evaluations
of
the
factors
driving
change
in
these
their
long-term
predictions
are
lacking.
Most
existing
concentrate
on
land-use
development
rather
than
conducting
empirical
research
specific
to
urban
Shanghai.
This
study
addresses
this
gap
by
employing
a
geographic
detector
(geodetector)
analyze
influence
various
open-space
changes.
These
were
then
used
as
weight
values
multicriteria
CA-Markov
model
simulate
predict
Shanghai's
2050.
The
advantage
analyzing
forces
lies
ability
capture
multifactor
synergy
influencing
spaces,
aligning
with
aim
quantitatively
evaluate
interaction
between
natural,
climatic,
socioeconomic
factors.
Additionally,
semi-structured
interviews
conducted
10
policymakers
planners
assess
reliability
predictions.
results
indicate
primary
drivers
spaces.
Specifically,
normalized
difference
vegetation
index
(NDVI)
population
density
(PD)
emerged
most
influential
variables.
For
prediction
outcomes,
unconstrained
scenario
predicts
decrease
area
from
5610.94
km2
2020
5124.36
planning
intervention
anticipates
minimal
changes
total
almost
no
floating
economic
rapid
decline
Experts
evaluated
three
scenarios
confirmed
accuracy
models.
methods
findings
can
support
zoning
for
systems
other
cities
regions.
Land,
Journal Year:
2023,
Volume and Issue:
12(11), P. 2073 - 2073
Published: Nov. 18, 2023
Arid
and
semi-arid
areas
are
facing
severe
land
degradation
desertification
due
to
water
scarcity.
To
alleviate
these
environmental
issues,
the
Chinese
government
has
launched
a
“water
conveyance”
project
for
protection
along
Tarim
River.
While
previous
studies
have
mainly
focused
on
conditions,
influence
of
policies
use
conditions
remains
less
explored.
Therefore,
this
study
first
simulated
cover
(LULC)
changes
in
major
city
(Korla)
around
We
found
that
conveyance
routes
exerted
notable
influences
surrounding
LULC
changes.
Next,
we
primarily
among
different
reaches
forest
lower
increased
at
expense
slight
decrease
such
upper
middle
reaches,
which
suggests
policy
may
also
unintended
consequences.
These
findings
could
attract
attention
decision
makers
many
other
arid
areas,
they
provide
practical
implications
similar
inter-basin
projects.
The
benefits
risks
man-made
projects
should
be
carefully
balanced.
Land,
Journal Year:
2023,
Volume and Issue:
12(2), P. 399 - 399
Published: Feb. 1, 2023
Land
use
change
could
affect
the
carbon
sink
of
terrestrial
ecosystems,
implying
that
future
storage
be
estimated
by
simulating
land
patterns,
which
is
great
significance
for
ecological
environment.
Therefore,
patterns
and
under
combination
scenarios
different
Shared
Socioeconomic
Pathway
(SSP)
Representative
Concentration
(RCP)
Yangtze
River
Delta
were
simulated
introducing
weight
matrices
into
Markov
model
combining
PLUS
InVEST
models.
The
results
revealed
woodland
expands
greatly
during
2020–2060
SSP1-RCP2.6
scenario,
2060
at
a
high
level
with
an
value
5069.31
×
106
t
average
annual
increase
19.13
t,
indicating
scenario
contributes
to
improvement
storage.
However,
area
built-up
increasing
SSP5-RCP8.5
3836.55
decrease
11.69
negatively
affects
sink.
Besides,
SSP2-RCP4.5
causes
almost
no
effect
on
above
can
help
policymakers
manage
choose
best
development
scenario.
Land,
Journal Year:
2023,
Volume and Issue:
12(6), P. 1164 - 1164
Published: June 1, 2023
Healthy
and
sustainable
urban
agglomerations
development
relies
heavily
on
land
use
optimization.
However,
there
is
insufficient
scientific
basis
reliable
quantitative
analysis
for
pattern
identification
optimal
prediction
in
embryonic
agglomeration.
Therefore,
taking
the
Lanzhou–Xining
(LX)
region,
a
typical
primary
developing
agglomeration,
as
study
area,
we
first
assessed
ecological
suitability
(LES).
Then,
embedded
LES
evaluation
results
optimization
process
constructed
MCR-MOP-
Dyna-CLUE
model
framework,
simulating
optimizing
patterns
year
2035
under
business
usual
scenarios,
which
aimed
to
explore
agglomerations.
The
indicated
that
scenario
based
had
more
rational
pattern.
It
appropriately
controlled
expansion
rate
of
construction
effectively
alleviated
problems
encroaching
farming
land.
Meanwhile,
ecosystem
services
increased
value
adequately
addressing
need
food
security
economic
development.
Compared
scenario,
was
19,622.69
ha
less,
cultivated
32,103.29
more.
Moreover,
benefit
by
187,490.4595
million
yuan
151,808,605.1
from
2020
2035,
respectively,
scenario.
Our
research
great
making
decisions
resource
management
initial
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(17), P. 4262 - 4262
Published: Aug. 30, 2023
Land
degradation
under
the
influence
of
global
warming
and
ecological
environmental
destruction
due
to
poor
land
management
is
main
challenge
facing
Mongolian
Plateau,
its
future
risk
change
trends
drivers
are
also
unclear.
Therefore,
address
context
relevant
this
challenge,
planning
based
on
measured
information
from
use
patterns
required.
Based
cover
(LULC),
study
evaluates
landscape
(LER)
Selenga
River
Basin
by
calculating
pattern
index.
The
spatiotemporal
influencing
factors
in
1990
2040
were
analyzed.
According
results
LULC
analysis,
forest
grassland
primary
types
Basin.
built
area,
forest,
cropland
showed
an
increasing
trend,
while
area
a
fluctuating
decreasing
trend.
From
2010,
comprehensive
dynamic
degree
trend
rising
first
then
falling,
specifically
0.13%
0.29%
will
drop
0.06%
2040,
indicating
that
range
becoming
more
stable.
assessment
shows
distribution
“low
at
edge
high
middle”.
index
increases
decreases,
with
peak
value
2010
(0.085).
By
spatial
aggregation
LER
partial
correlation
climate,
we
found
Moran’s
I
“anti-V”-shaped
average
presents
positive
correlation,
primarily
high-value
aggregation,
peaked
2010.
Precipitation
had
negative
controlling
for
temperature,
there
was
relationship
between
temperature
precipitation.
This
provides
scientific
basis
Basin,
great
significance
maintaining
security
Plateau.
