Sustainability,
Год журнала:
2024,
Номер
16(23), С. 10453 - 10453
Опубликована: Ноя. 28, 2024
Over
the
past
two
decades,
large-scale
ecological
restoration
in
Loess
Plateau
has
significantly
transformed
land
use
and
cover
(LULC)
Wuding
River
Basin
(WRB),
improving
governance
environmental
conditions.
This
study
examines
spatiotemporal
evolution
of
LULC
its
driving
factors
from
2000
to
2020,
employing
methods
such
as
dynamic
degree,
transfer
matrix,
migration
trajectory,
geographical
detector.
Results
show
that
(1)
grassland
dominates
basin’s
(78.16%),
with
decreases
cropland
desert
areas,
expansions
grassland,
forest,
urban
areas.
Water
bodies
minimal
fluctuations.
The
mean
annual
degree
types
(from
highest
lowest)
is
follows:
forest
>
water
grassland.
overall
fluctuated,
initially
decreasing
(0.85%–0.68%),
then
increasing
(0.68–0.89%),
followed
by
another
decline
(0.89–0.30%).
(2)
patterns
follow
a
northwest-to-southeast
gradient,
primary
transitions
secondary
urban,
bodies.
Spatial
mainly
shifts
westward
northward.
(3)
Under
single-factor
influence,
natural
factors,
especially
slope
(7.2–36.4%)
precipitation
(6.1–22.3%),
are
drivers
changes,
population
density
(7.9%)
GDP
(27.5%)
influencing
In
interaction
topography
climate
(40.5–66.1%)
primarily
drive
increases
cropland,
while
human
activities
(24.8–36.7%)
influence
area
expansion.
Desert
reduction
largely
driven
climatic
(40.3%).
between
shows
either
bi-factorial
or
nonlinear
enhancement
effect,
suggesting
their
combined
offers
stronger
explanatory
power
than
any
single
factor
alone.
highlights
significant
changes
WRB,
both
activities,
contributing
enhanced
sustainability.
Remote Sensing,
Год журнала:
2024,
Номер
16(13), С. 2383 - 2383
Опубликована: Июнь 28, 2024
Exploring
the
relationship
and
driving
forces
between
supply–demand
of
ecosystem
services
(ESs)
urbanization
can
help
solve
environmental
problems
promote
regional
sustainable
development.
This
study
analyzed
spatio-temporal
distribution
characteristics
ESs
comprehensive
level
(CUL)
in
Shaanxi
Province
from
2010
to
2019
assessed
coupling
service
ratio
(ESSDR)
CUL
using
coordination
degree
(CCD)
model.
Random
forests
geographically
weighted
regression
methods
were
utilized
characterize
contribution
spatial
drivers
CCD.
The
results
showed
that:
(1)
except
for
habitat
quality,
ESSDR
other
three
types
as
well
a
decreasing
trend,
exhibited
increasing
trend;
(2)
Although
CCD
was
generally
increasing,
significant
portion
(78.51%)
regions
still
remained
uncoordinated,
with
relatively
better
shown
around
Guanzhong
urban
agglomeration,
which
has
higher
level;
(3)
primarily
influenced
by
local
financial
income,
secondary
industry,
temperature
forces.
In
high
CCD,
tertiary
industry
decisive
force.
areas,
there
variations
These
findings
provide
coupled
coordinated
perspective
ecological
management,
scientific
reference
practical
guidance
cities
different
development
modes.
Land,
Год журнала:
2025,
Номер
14(4), С. 685 - 685
Опубликована: Март 24, 2025
The
expansion
of
construction
land
is
a
key
feature
urbanization.
Understanding
its
spatiotemporal
evolution
in
Yunnan’s
plateau
basins
crucial
for
minimizing
resource
waste
and
promoting
coordinated
regional
development.
This
study
employs
use
nighttime
light
data
to
analyze
the
dynamics
decoupling
from
economic
growth,
using
various
indices
Tapio
model.
results
reveal
steady
rise
urban
1990
2020,
characterized
by
significant
spatial
variations
speed
intensity.
Edge
predominated
throughout
all
periods,
accounting
over
50%
most
regions.
After
2010,
spread
into
smaller
basins,
markedly
increasing
number
areas
experiencing
new
expansion.
between
growth
these
remains
primarily
weak
unstable,
indicating
strong
reliance
on
Factors
such
as
socioeconomic
conditions,
geography,
ecology,
policy
influence
both
highlighting
interdependence
two.
These
findings
provide
foundation
sustainable
basin
development
offer
valuable
insights
planning
policy-making.
Sustainability,
Год журнала:
2024,
Номер
16(12), С. 5128 - 5128
Опубликована: Июнь 16, 2024
The
detrimental
effects
of
accelerated
urbanization
on
ecosystem
services
underscore
the
necessity
investigating
interactive
coercion
between
two.
This
paper
employs
multi-source
data
to
analyze
subsystems
and
modified
equivalent
factors
in
order
calculate
level
(UL)
service
value
(ESV)
Poyang
Lake
urban
agglomeration
(PYLUA)
from
2005
2020
at
administrative,
watershed,
grid
scales.
Bivariate
spatial
autocorrelation,
multi-scale
geographically
weighted
regression
(MGWR),
others
are
applied
explore
interrelationships
impact
two
conduct
zoning
management
studies.
results
indicate
that
(1)
UL
has
significantly
increased
2020,
with
a
marginal
expansion
its
distribution,
while
ESV
shows
generally
smooth
trend,
high-value
low-value
areas
present
around
metropolitan
area,
respectively;
(2)
negatively
correlated
all
scales,
this
negative
effect
over
time;
(3)
OLS
model,
only
land
population
affect
1%
significance,
MGWR,
significance
have
their
own
optimal
scales;
(4)
interrelated
divide
PYLUA
into
five
zones:
Coordinated
Development
Zone,
Co-Loss
Lag
Ecological
Loss
Zone
Potential
Zone.
These
zones
identify
where
more
pronounced
propose
corresponding
strategies
for
each
subzone.
can
serve
as
foundation
coordinating
regional
preserving
environment.
