Coordinating
economic
growth
and
carbon
emissions
has
become
an
urgent
sustainable
development
issue
for
developing
countries.
In
this
study,
we
integrated
the
advantages
of
multi-objective
fuzzy
linear
programming
(MFLP)
model
optimizing
quantitative
structures
patch-generating
land
use
simulation
(PLUS)
simulating
spatial
layouts.
We
established
a
framework
territorial
functional
pattern
(TSFP)
that
coordinates
emissions.
The
offers
new
path
toward
TSFP
to
achieve
high-quality
synergy
between
emission
reduction.
results
empirical
study
in
Qionglai
City
China
showed
that:
(i)
strong
explanatory
power
distribution
net
(the
minimum
q-value
is
taken
as
0.921
0.840),
theoretical
evidence
coordinating
them
by
sufficient;
(ii)
MFLP
can
compensate
deficiency
uncertainties.
This
helps
with
obtaining
optimal
structure
space
functions
(TSFs)
synergizes
reduction
per
million
yuan
corresponding
TSFs
2025
2030
were
reduced
0.7
tons
4.7
tons,
respectively,
while
decoupling
index
was
0.25
0.21,
thus
realizing
their
decoupling);
(iii)
simulated
PLUS
consistent
expected
structure,
realistic,
establishing
realizes
Further
analysis
confirmed
optimization
highly
reliable
at
them.
Our
serve
reference
formulate
planning
governance
measures
it
represents
effective
coordinate
contradiction
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
143, P. 109335 - 109335
Published: Aug. 22, 2022
A
clear
understanding
the
relation
between
ecological
protection
and
economic
development
provides
new
insight
into
land
use
policies.
Land
trade-offs
synergies
based
on
ecosystem
service
value
(ESV)
is
important
to
regional
sustainable
development.
In
this
study,
we
took
South
China
as
an
example,
assessed
spatial
temporal
changes
of
function
over
20
years,
proposed
a
planning
in
2035
by
socio-ecological
constraints
multiyear
observations.
The
results
showed
that
ESV
acts
downward
trend
from
2000
2020.
water
conservation,
soil
retention,
carbon
sequestration,
habit
quality
synergistic
relationship
with
products
supply.
After
use,
significantly
improved
compared
Finally,
4
zones
strategy
considering
studying
areas
regulate
industrial
configuration.
This
will
maintain
steadily
increasing
until
2035,
meantime
guarantee
security.
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
929, P. 171926 - 171926
Published: March 27, 2024
Carbon
emissions
caused
by
economic
growth
are
the
main
cause
of
global
warming,
but
controlling
to
reduce
carbon
does
not
meet
China's
conditions.
Therefore,
how
synergize
and
emission
reduction
is
only
a
sustainable
development
issue
for
China,
also
significant
mitigating
warming.
The
territorial
spatial
functional
pattern
(TSFP)
carrier
coordinating
emissions,
establish
TSFP
remains
unresolved.
We
propose
decision
framework
optimizing
coupled
with
multi-objective
fuzzy
linear
programming
patch-generating
land
use
simulation
model,
provide
new
path
in
China.
To
confirm
reliability,
we
took
Qionglai
City
as
demonstration.
results
found
spatiotemporal
coupling
between
synergistic
effect
(q
≥
0.8220),
which
resolves
theoretical
uncertainty
about
synergizing
through
TSFP.
urban
space
2025
2030
obtained
was
6497.57
hm2
6628.72
respectively,
distributed
central
eastern
regions;
rural
60,132.92
56,084.97
hm2,
concentrated
east,
few
located
west;
ecological
71,072.52
74,998.31
mainly
western
southeastern
areas.
Compared
2020,
intensity
that
realized
synergy
(decoupling
index
0.25
0.21,
respectively)
reduced
0.7
4.7
tons/million
yuan,
respectively.
Further
confirming
an
effective
way
reduction,
can
policy
implications
China
even
similar
developing
countries.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(6), P. 4912 - 4912
Published: March 9, 2023
Modeling
land
use
and
cover
(LULC)
change
is
important
for
understanding
its
spatiotemporal
trends
plays
a
crucial
role
in
planning
natural
resources
management.
To
this
end,
study
assessed
the
characteristics
of
LULC
changes
Urumqi
city
between
1980
2020.
In
addition,
future
was
successfully
projected
2030
2050
under
different
scenarios
based
on
FLUS
model.
This
model
validated
using
actual
simulated
data
The
kappa
coefficient
figure
merit
simulation
results
2020
were
0.87
0.114,
respectively,
indicating
that
accuracy
satisfactory.
demonstrated
grassland
major
type,
with
area
accounting
more
than
50%
area.
From
to
2020,
urban
greatly
expanded,
while
decreased
significantly.
Urban
increased
from
353.51
km2
884.27
km2,
7903.4
7414.92
significant
transitions
mainly
occurred
grasslands,
cultivated
lands
lands.
Grassland
converted
into
land,
resulting
rapid
expansion
over
last
40
years.
1990
2000,
an
341.08
km2.
Finally,
showed
expected
increase
all
three
scenarios,
forest
are
effectively
protected
Cultivated
Land
Protection
Scenario
(CPS)
Ecological
(EPS)
compared
Baseline
(BLS).
2035
City
arid
semi-arid
regions
northwest
China
model,
which
has
not
been
investigated
previous
studies.
International Journal of Geographical Information Science,
Journal Year:
2024,
Volume and Issue:
38(5), P. 956 - 980
Published: Feb. 6, 2024
Land
use
and
land
cover
change
(LUCC)
simulation
aids
the
interpretation
of
causes
consequences
future
landscape
dynamics
under
various
scenarios,
which
in
turn
supports
policy
decisions.
The
essence
LUCC
lies
representing
complex
spatiotemporal
associations
among
types,
including
competitions
interactions.
Currently,
analyses
mainly
focus
on
spatial
configuration
while
ignoring
intricate
co-evolution
patterns
types.
Therefore,
by
integrating
pattern
mining
(STC)
a
(FLUS)
model,
model
named
STC-FLUS
was
developed
this
study.
proposed
is
innovative
because
it
can
accurately
quantify
be
effectively
incorporated
into
simulations.
A
set
simulations
indicate
that
more
accurate
than
classical
FLUS
with
figure
merit
score
0.135
compared
0.114.
Simulation
results
five
localized
shared
socioeconomic
pathway
scenarios
from
2020
to
2040
demonstrate
effective
for
development
scenarios.
We
conclude
types
enhance
reliability
projections.
Moreover,
serve
as
useful
tool
understand
dynamics.
Open Geosciences,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Jan. 1, 2025
Abstract
By
simulating
the
layout
of
“Production–Living–Ecological
space”
under
various
scenarios
in
future
and
exploring
trend
land
use
changes,
it
is
great
significance
to
optimize
structure
ecological
environment
region.
Based
on
existing
data
combined
with
PLUS
model,
article
predicts
demand
distribution
PLES
2040
2060
then
studies
contribution
rate
area
changes
each
type
change
regional
quality.
The
results
show
that
(1)
agricultural
production
main
Anyang
City
from
1980
2020,
conversion
mainly
manifested
as
living
land.
(2)
In
all
three
scenarios,
between
2020
are
contraction
expansion
protection
scenario
smallest,
decrease
urban
development
largest.
(3)
2060,
varying
degrees
reduction
Ecological
quality
index
(EQI)
compared
2020.
At
same
time,
environmental
closely
related
(4)
result
multi-factors,
among
which
annual
precipitation
has
strongest
explanatory
power,
factors
synergistic
effects.
present
study
intended
provide
a
reference
for
optimizing
pattern
region
improving
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 802 - 802
Published: April 8, 2025
It
is
crucial
to
simulate
land
use
change
and
assess
the
corresponding
impact
on
ecosystem
services
develop
informed
management
policies
conservation
strategies.
To
comprehensively
patterns
of
under
different
evaluate
ecological
service
values
(ESV),
a
method
for
coupling
Generalized
Multi-Objective
Programming
(GMOP)
model
Patch-generating
Land
Use
Simulation
(PLUS)
proposed
in
this
study.
First,
GMOP
used
obtain
optimized
solutions
scenarios.
Then,
PLUS
analyze
mechanism
driving
expansion,
explore
conversion
patterns,
and,
ultimately,
achieve
spatial
expression
quantity
changes.
The
uncertain
parameters
coupled
are
processed
by
intuitionistic
fuzzy
numbers.
successfully
integrates
outstanding
spatiotemporal
dynamic
simulation
capability
multiobjective
optimization
advantages
model,
effectively
overcoming
limitations
applying
single
analysis.
Finally,
four
scenarios
established
change,
namely,
business
as
usual
(BAU),
economic
efficiency
priority
(RED),
protection
(ELP),
coordinated
development
(EEB),
predict
trends
values.
A
case
study
Ningxia
Hui
Autonomous
Region
demonstrates
that
area
agricultural
exhibits
stable
growth
trend
scenarios,
with
majority
expansion
occurring
through
grassland.
Concurrently,
rate
construction
highest
BAU
scenario
at
31.72%,
compared
2020.
This
notably
higher
than
rates
observed
RED
(10.10%)
EEB
(9.47%)
cases.
With
land,
ESV
decreased
3.485
billion,
1.514
1.658
billion
yuan
BAU,
RED,
ELP
representing
41.72%,
24.96%,
34.05%
decreases
ESV,
respectively.
integrated
methodology
accounts
various
constraints
behaviors,
thereby
ensuring
true
accurate
reflection
dynamics.
supports
quantification
strategies,
providing
policymakers
effective
support
data-driven
sustainable
planning
conservation.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(21), P. 14178 - 14178
Published: Oct. 30, 2022
Land
use
change
is
an
important
factor
in
atmospheric
carbon
emissions.
Most
of
the
existing
studies
focus
on
modeling
land
pattern
for
a
certain
period
time
future
and
calculating
analyzing
However,
few
have
optimized
spatial
from
perspective
impact
emission
constraints
structure.
Therefore,
this
study,
effects
emissions
1990
to
2020
were
modeled
using
flow
model
Sanmenxia,
Henan,
China,
as
example.
Then,
function
under
low
target
was
constructed,
differential
evolution
(DE)
algorithm
used
obtain
quantity
Finally,
PLUS
predict
optimal
configuration
patterns
minimize
The
study
produced
three
major
results.
(1)
From
2020,
structural
Sanmenxia
mainly
occurred
between
cultivated
land,
forest
grassland
construction
land.
During
change,
first
increased
then
decreased,
but
despite
decrease,
still
exceeded
sinks,
metabolism
far
equilibrium.
(2)
Between
2010
area
began
rapidly
increased,
land-use-related
showed
negative
growth.
This
that
adjustment
energy
consumption
during
decreased
comparison
with
previous
period.
(3)
A
predicted
as-is
development
scenario
decrease
23.05
km2
2030
steady
increase
total
20.43
t.
newly
converted
concentrated
ribbon-clustered
towns
built
urban
expansion
along
Shaanling
basin
Yellow
River
Mianchi–Yima
industrial
area.