Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1703 - 1703
Published: Feb. 18, 2025
China’s
rapid
economic
growth
has
increased
tensions
between
production,
living,
and
ecological
spaces
(PLES),
making
sustainable
land-use
planning
difficult.
Therefore,
PLES
evolution
processes
are
a
focus
of
current
research.
Remote
sensing
data
with
transition
matrices,
centroid
migration,
standard
deviation
ellipses,
spatial
autocorrelation,
geographic
detectors
were
used
to
study
the
dynamics
in
Hunan
Province
from
1990
2020,
elucidate
its
mechanisms
main
influencing
factors,
provide
comprehensive
understanding
evolutionary
characteristics.
The
conclusions
our
analysis
as
follows:
(1)
Ecological
space
was
dominant
type,
while
production
increased,
putting
strain
on
natural
areas.
(2)
Living
by
40.73%
over
three
decades,
mostly
comprising
manufacturing
space,
highlighting
urban
expansion.
(3)
Despite
changes,
Loudi
City’s
remained
central.
(4)
Standard
ellipses
showed
shrinkage
directional
stability,
implying
enhanced
land
usage
within
borders
rather
than
outward
growth.
(5)
detector
that
GDP,
population
density,
slope,
elevation
influenced
these
changes.
Economic
prosperity
drove
expansion,
but
slope
limited
development
accessible
locations.
These
findings
policymakers
essential
information
for
balancing
urbanization
preservation
case
design
rapidly
developing
regions.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(16), P. 10370 - 10370
Published: Aug. 20, 2022
Territorial
space
is
a
multi-functional
complex.
The
coordinated
production-living-ecological
(PLES)
effectively
coordinates
the
man-land
relationship,
promotes
regional
sustainable
development,
and
maximizes
territorial
space.
How
to
build
high-quality
national
spatial
layout
support
system
for
development
has
become
hot
topic
of
concern
in
all
sectors
society.
However,
few
studies
have
explored
coupling
coordination
considering
various
functions
land
use
type
its
influencing
factors
PLES
at
county
scale
China.
To
address
gap,
based
on
connotation
theory,
this
study
established
classification
evaluation
analyzed
spatio-temporal
characteristics,
degree,
autocorrelation,
China
from
2000
2020.
results
are
as
follows:
(1)
production
index
living
showed
continuous
increase
tendency,
while
ecological
decreased
continuously
during
period.
were
concentrated
east
Hu
Line,
indexes
mountainous
areas
significantly
higher
than
those
plain
(2)
gravity
centers
migrated
west
different
degrees
(3)
From
2020,
basically
balanced
category
was
main
type,
number
seriously
unbalanced
categories
accounted
least.
In
dominant,
Line
moderately
above.
(4)
During
period,
low-low
relationship
widely
distributed
western
China,
followed
by
high-high
mainly
situated
North
Plain,
Yangtze
River
Delta,
Pearl
Jianghan
Chengdu
Northeast
some
provincial
capital
cities.
(5)
Regression
that
natural
reason
restricting
PLES,
socioeconomic
could
promote
PLES.
Landscape
pattern
also
influenced
but
varied
greatly.
findings
can
provide
scientific
reference
optimization
promotion
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(14), P. 8812 - 8812
Published: July 19, 2022
Rapid
urbanization
and
human
activities
enhanced
threats
to
the
degradation
of
various
ecosystem
services
in
modern
urban
agglomerations.
This
study
explored
response
service
values
(ESVs)
land
use
changes
trade-offs
among
ESVs
agglomerations
under
different
future
development
scenarios.
The
patch-general
simulation
(PLUS)
model
ESV
calculation
method
were
used
simulate
Guanzhong
Plain
Urban
Agglomeration
Business
As
Usual
scenario
(BAU),
Ecological
Conservation
(EC),
Economic
Development
(ED)
2030.
Global
local
Moran’s
I
detect
spatial
distribution
pattern,
correlation
analysis
was
measure
services.
results
showed
that:
(1)
simulated
result
high
accuracy
compared
actual
observed
same
period,
with
a
Kappa
coefficient
0.912.
From
2000
2030,
significant,
rapid
decrease
farmland
an
increase
construction
land.
area
woodland
increased
significantly
EC
scenario,
rapidly
ED
scenario.
(2)
decline
total
CNY
218
million
from
2020,
remained
downward
trend
BAU
scenarios
decreasing
by
156
4731
million,
respectively.
An
increasing
growth
849
million.
(3)
Significant
autocorrelation
Agglomeration,
as
all
positive
p-values
zero.
grids
mainly
“High-High”
clusters
mountainous
areas
“Low-Low”
plain
areas.
Except
for
food
production,
majority
exhibited
synergistic
relationships.
In
planning
development,
policymakers
should
focus
on
coordinated
process
ecological
preservation
build
safety
pattern.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(24), P. 16902 - 16902
Published: Dec. 16, 2022
Land
use
function
transition
can
change
the
eco-environment.
To
achieve
an
“Intensive
and
efficient
production
space,
moderately
livable
living
beautiful
ecological
space”,
effects
of
land
in
context
ecologically
fragile
areas
rapidly
developing
socio-economic
importance
need
to
be
studied.
In
this
study,
from
perspective
“production-living-ecological”
spaces,
we
calculated
index
regional
eco-environment
quality,
positive
negative
impact,
contribution
rate
analyzed
driving
factors.
We
found
following:
(1)
The
space
was
greatly
compressed,
expanded,
significantly
squeezed.
Haikou
underwent
a
rapid
transformation
agriculture-dependent
city
industrial
city.
supply
for
urban
rural
guaranteed
by
Chinese
management
department.
However,
prioritized
economic
development
over
environmental
protection.
(2)
quality
decreased
2009
2018.
expansion
pasture-based
spaces
is
important
improving
eco-environment,
reduction
forest
strongly
influences
deterioration
(3)
Resource
base,
historical
level
utilization,
suitability
land,
value
potentiality,
policies
affected
its
(4)
Refining
planning
territorial
comprehensively
resources,
reforming
system
influenced
policy
guidance
technical
regulation
coordinating
tested
effect
on
provided
reference
spaces.
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
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1703 - 1703
Published: Feb. 18, 2025
China’s
rapid
economic
growth
has
increased
tensions
between
production,
living,
and
ecological
spaces
(PLES),
making
sustainable
land-use
planning
difficult.
Therefore,
PLES
evolution
processes
are
a
focus
of
current
research.
Remote
sensing
data
with
transition
matrices,
centroid
migration,
standard
deviation
ellipses,
spatial
autocorrelation,
geographic
detectors
were
used
to
study
the
dynamics
in
Hunan
Province
from
1990
2020,
elucidate
its
mechanisms
main
influencing
factors,
provide
comprehensive
understanding
evolutionary
characteristics.
The
conclusions
our
analysis
as
follows:
(1)
Ecological
space
was
dominant
type,
while
production
increased,
putting
strain
on
natural
areas.
(2)
Living
by
40.73%
over
three
decades,
mostly
comprising
manufacturing
space,
highlighting
urban
expansion.
(3)
Despite
changes,
Loudi
City’s
remained
central.
(4)
Standard
ellipses
showed
shrinkage
directional
stability,
implying
enhanced
land
usage
within
borders
rather
than
outward
growth.
(5)
detector
that
GDP,
population
density,
slope,
elevation
influenced
these
changes.
Economic
prosperity
drove
expansion,
but
slope
limited
development
accessible
locations.
These
findings
policymakers
essential
information
for
balancing
urbanization
preservation
case
design
rapidly
developing
regions.
