Sustainability,
Journal Year:
2023,
Volume and Issue:
15(22), P. 15757 - 15757
Published: Nov. 8, 2023
Southwest
China’s
arid
river
valleys
represent
ecologically
vulnerable
areas
with
intense
human
activity.
Understanding
the
historical
changes
in
LULC
and
land
cover
projecting
impacts
of
various
development
scenarios
on
future
have
become
crucial
for
regional
spatial
information
management
territorial
planning.
This
research
analyzes
land-use
Yuanmou
dry-hot
valley
over
a
30-year
span
from
1990
to
2020.
Building
upon
PLUS
model,
we
established
coupled
habitat
quality
multi-scenario
simulation
model.
Four
were
proposed:
natural
progression,
economic
development,
ecological
conservation,
balanced
development.
We
conducted
simulations
evaluations
2030
using
mode,
assessing
sustainability
under
varying
constraints.
During
simulation,
three
distinct
RESI
regions
employed
as
restricted
zones,
integrating
constraints
four
scenarios.
introduced
novel
approach
based
environmental
constraint,
providing
scientific
reference
sustainable
areas.
The
results
indicate
that
conservation
high-to-low
constraints,
environment
is
superior
other
show
following:
(1)
From
2020,
aside
continuous
decrease
grassland
area,
there
was
an
increasing
trend
water
bodies,
forests,
croplands,
construction
lands,
unused
lands
valley.
(2)
By
2030,
all
scenarios,
cropland
area
expected
expand
rapidly,
while
forested
will
decrease;
decline
but
opposite
trends
scenarios;
(3)
Land-use
intensity
analysis
indicated
that,
by
are
more
likely
be
converted
into
forests
croplands
grasslands,
grasslands
lands.
(4)
Sustainable
landscape
indices
reveal
exhibit
connectivity
clustering.
Thus,
scenario
most
appropriate
strategy
future.
These
findings
provide
references
balancing
China.
Building and Environment,
Journal Year:
2024,
Volume and Issue:
257, P. 111545 - 111545
Published: April 20, 2024
The
process
of
urbanization
exacerbates
the
urban
heat
island
phenomenon.
In
order
to
reasonably
identify
functional
zones,
and
reveal
influence
buildings
on
land
surface
temperature
(LST).
Guiyang,
a
multi-mountainous
city
in
China,
was
taken
as
research
area,
Open
Street
Map
(OSM)
use
type
data
were
used
zones.
Subsequently,
correlation
between
building
morphology
metrics
LST
analyzed
using
Pearson
boosted
regression
tree
(BRT)
model.
results
showed
that:
(1)
There
significant
differences
among
different
(2)
relative
contribution
value
density
(BD)
high,
it
significantly
exacerbated
effect
across
all
with
maximum
impact
reaching
2.5°C
Utility
zone.
(3)
Mean
height
(MBH),
Southerly
wind
speed
(S_Wind
speed)
Landscape
shape
index
(LSI_Building)
had
alleviating
thermal
environment,
mitigation
degree
highest
Residential
zone
Ecological
zone,
0.6°C,
0.8°C
2.0°C,
respectively.
This
study
enhances
our
understanding
relationship
functions
LST,
providing
valuable
insights
for
mitigating
environment
promoting
sustainable
development.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
159, P. 111637 - 111637
Published: Jan. 28, 2024
Clarifying
spatiotemporal
changes
in
ecosystem
services
(ESs)
and
understanding
the
trade-offs
synergies
among
different
are
crucial
for
effective
ES
management
regional
sustainable
development.
In
karst
multi-mountainous
cities
(KMCs),
unique
landscape
pattern,
fragile
ecological
environment,
intense
human
disturbance
contribute
to
accelerated
rocky
desertification
degradation
of
ESs.
Studying
provides
scientific
guidance
formulating
policies,
enhancing
value,
mitigating
KMCs.
Therefore,
this
study
analyzes
four
ESs
—
habitat
quality
(HQ),
carbon
storage
(CS),
water
production
(WP),
soil
retention
(SR)
using
remote
sensing
images
from
2008,
2013,
2018
a
typical
KMC,
aiming
reveal
investigate
driving
factors.
The
key
findings
as
follows:
1)
High
HQ
CS
values
were
scattered
patches
throughout
area,
mainly
within
Urban
Remnant
Mountain
(URM)
woodland,
but
fragmented
by
construction
land.
SR
WP
initially
increase
then
decreased,
especially
bareland.
WP-HQ
WP-SR,
exhibited
tradeoffs,
while
WP-CS
CS-HQ
demonstrated
synergies.
No
significant
trade-off
or
synergy
relationships
observed
between
HQ-SR
CS-SR.
2)
URMs,
biological
patch
KMCs'
built-up
highest
degree
trade-off/synergy,
accounting
32%.
When
considering
only
degree,
URMs
accounted
37%.
To
improve
overall
advantages
KMCs,
greater
design
consideration
preservation
essential.
3)
Both
environmental
socio-economic
factors
influence
synergies,
with
playing
dominant
role.
Future
green
space
planning
should
consider
road
layout,
land
use
results
can
guide
policies
urban
development
other
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
82, P. 102671 - 102671
Published: June 12, 2024
Ecological
carbon
sinks
play
a
crucial
role
in
global
cycling
and
climate
mitigation,
making
their
effective
management
essential.
This
study
develops
novel
risk
zoning
multifactor
analysis
framework
for
ecological
sink
Yunnan
Province,
China,
region
recognized
its
diversity
sequestration
potential.
Our
results
reveal
that
high-priority
zones,
mainly
the
southwest
western
regions,
cover
20%
of
total
area
contain
over
60%
province's
stocks.
In
contrast,
high-risk
primarily
urbanized
show
reduction
sequestration,
with
emissions
exceeding
25.7
million
kg
due
to
urban
development
landscape
degradation.
The
delineated
five
distinct
zones;
urgent
intervention
control
priority
restoration
long-term
conservation
integrated
zones.
Notably,
while
representing
just
9.6%
area,
are
critical
protecting
40%
comprehensive
framework,
combining
principal
component
canonical
correspondence
(PCA-CCA),
effectively
integrates
indicators,
socio-economic
factors,
natural
elements.
innovative,
data-driven
approach
offers
strategic
insights
into
managing
balancing
integrity
socioeconomic
needs,
providing
replicable
model
ecosystem
management.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111805 - 111805
Published: March 1, 2024
The
game
between
socio-economic
development
and
ecological
has
always
been
the
core
issue
in
coal-based
areas,
ecosystem
services
could
unify
two
into
one
framework.
However,
at
present,
related
research
made
slow
progress
structure
optimization
regional
sustainable
development.
Pinglu,
as
a
representative
area
of
China's
Reform
Opening
Up
first
Sino-foreign
joint
venture
open-pit
coal
mine,
fragile
characteristics
resource
attributes
that
are
typical
home
abroad.
Therefore,
this
study
took
town
an
example
analyzed
service
situation
with
its
driving
mechanism
relied
on
ArcGIS,
InVEST
Geodetector
tools
to
solve
contradiction
protection
such
areas.
results
revealed
that:
(1)
overall
supply
capacity
each
Pinglu
during
40-year
period
showed
improving
trend,
but
there
was
also
deterioration
habitat
quality
carbon
sequestration
services;
(2)
provisioning
needed
be
improved
comprehensively,
key
areas
for
upgrading
improvement
were
southwestern
townships;
(3)
force
food
soil
conservation
changed
from
mainly
environmental
environmental,
water
production,
wind-sand
socio-economic,
land-use
type
complete
factor
sequestration.
(4)
successively
experienced
slow-growth
period,
rapid-growth
rapid-decline
stable-development
accordingly
formed
labor-intensive
economy,
resource-intensive
structural-adjustment
economy
high-quality
oriented
economy.
their
mechanisms
towns
provide
strategies
green
regions.
And
make
up
shortcomings
national
civilization
construction
resource-based
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
161, P. 111919 - 111919
Published: March 28, 2024
Continued
population
loss
in
the
context
of
urban
shrinkage
has
led
to
transformation
and
reconfiguration
land
use
space,
which
turn
had
a
major
impact
on
regional
habitats
ecosystem
services.
To
explore
status
habitat
quality
(HQ)
shrinking
cities,
based
data
from
2010
2020,
this
study
uses
InVEST
model
analyze
spatiotemporal
characteristics
HQ
cities.
Then,
we
reveal
effect
cities
perspective
change
rate,
detect
dominant
influencing
factors
different
types
with
help
geographical
detector.
The
results
show
that:(1)
From
primary
both
non-shrinking
three
northeastern
provinces
were
forestland
cropland.
However,
there
significant
differences
area
construction
between
two
categories
(2)
showed
declining
trend,
yet
index
was
higher
than
that
(3)
distribution
effect,
gradually
strengthens
as
intensifies.
Low-quality
have
strong
distributional
advantage
slightly
while
severely
tend
be
dominated
by
high-quality
habitats.
(4)
Population
profile,
economic
development,
industrial
structure
built
environment
are
important
spatial
heterogeneity
determinants
vary
significantly
among
terms
dimensions
indicators,
two-factor
interactions
exerting
stronger
influence
single-factor
impacts.
Based
findings
study,
government
can
formulate
differentiated
protection
measures,
dynamically
adjust,
optimize
them
according
grades
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1515 - 1515
Published: Feb. 12, 2025
Optimizing
the
habitat
quality
(HQ)
assessment
and
revealing
its
nonlinear
influence
mechanisms,
particularly
by
considering
mountain
micro-topographic
characteristics,
are
critically
important
for
promoting
sustainable
development
safeguarding
ecological
environment
of
cities.
Taking
Chongqing
main
city
(CMC)
as
study
area,
first,
Geomorphons
algorithm
was
used
to
identify
positions.
On
this
basis,
HQ
InVEST
model
optimized
collecting
multispectral
data
from
UAV,
spatiotemporal
change
trend
analyzed
least-squares
method.
Secondly,
hotspot
analysis
explore
differentiation
on
different
land
use
geomorphological
types.
Finally,
based
generalized
additive
model,
dominant
influencing
factors
were
determined,
their
effects
analyzed.
The
results
showed
following:
(1)
average
CMC
an
increasing
2000
2020.
four
mountains
two
rivers
higher,
while
it
lower
in
central
urban
area.
(2)
hotspots
mainly
distributed
parallel
areas
composed
forests,
grasslands,
waters.
heterogeneity
at
scale
manifested
that
summits
always
HQ.
(3)
influenced
a
range
factors,
including
both
natural
environmental
conditions
socio-economic
drivers,
among
which
normalized
difference
vegetation
index
most
factor.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 523 - 523
Published: March 3, 2025
The
expansion
of
road
networks
profoundly
affects
ecological
systems
by
intensifying
habitat
fragmentation,
altering
hydrological
processes,
and
exacerbating
pollution.
However,
our
understanding
the
multi-scale
spatiotemporal
coupling
between
quality
remains
limited.
Thus,
taking
Fuzhou
City
in
Southeastern
China
as
a
case
study
(~12,000
km2),
we
apply
bivariate
spatial
autocorrelation,
geographical
detectors
(GDs),
geographically
weighted
regression
(MGWR)
to
explore
interactions
quality.
Results
reveal
following:
(1)
From
2016
2021,
kernel
density
estimation
(KDE)
analysis
network
indicates
coordinated
growth
both
urban
rural
areas,
with
an
increase
0.759
km/km2.
Analysis
based
on
remote
sensing-based
index
(RSEI)
shows
decrease
from
2000
2016,
then
trend
increasing
gradually
center
area.
(2)
Predominant
tradeoff
relationships
exist
KDE
RSEI
while
notable
synergistic
emerge
ΔKDE
ΔRSEI.
(3)
Multi-scale
GD
identifies
principal
factor
influencing
ΔRSEI,
MGWR
reveals
their
significant
associations
at
optimal
scale
3000
m.
These
findings
highlight
unequal
impact
quality,
underscoring
pivotal
role
changes
its
dynamics.
They
offer
essential
insights
for
sustainable
transport
planning.