Land,
Год журнала:
2025,
Номер
14(4), С. 759 - 759
Опубликована: Апрель 2, 2025
Land-use
transition
has
diverse
influences
on
habitat
quality.
At
present,
land-use
patterns
and
quality
in
the
ecologically
fragile
Yellow
River
Basin
are
undergoing
significant
change.
However,
relationship
between
driving
factors
of
dynamics
across
whole
basin
remain
unclear.
In
this
study,
we
utilized
a
matrix
an
InVEST
model
to
analyze
land
use,
quality,
two
from
2005
2020.
The
were
explored
with
spatial
econometric
model.
results
showed
following:
(1)
areas
farmland
grassland
accounted
for
more
than
70%,
but
decreased
by
14,600
km2
2500
km2,
respectively.
forest
construction
increased
1800
16,900
(2)
trend
decrease-then-increase.
low
value
(0–0.2)
largest,
accounting
about
50%
total
area;
regions
relatively
high
(0.6–0.8)
(0.8–1)
small
scattered
mountainous
area,
10%.
(3)
was
lowest
categorized
as
transitioning
construction,
highest
unchanged
characterized
forest.
coupling
coordination
degree
steady
upward
trend.
(4)
growth
rate
added
secondary
industries,
GDP
per
capita,
population
density,
ecological-protection
policy
score,
average
annual
temperature,
precipitation
primary
affecting
This
study
fills
gap
analysis
Basin;
work
assists
understanding
ecological
effects
region
provides
suggestions
development
other
densely
populated
areas.
Ecological Indicators,
Год журнала:
2024,
Номер
161, С. 111969 - 111969
Опубликована: Апрель 1, 2024
As
the
fourth
pole
of
China's
economic
growth,
Chengdu-Chongqing
urban
agglomeration
plays
a
significant
role
in
reinforcing
ecological
barrier
upper
reaches
Yangtze
River,
and
is
crucial
for
environmental
protection
strategies.
In
this
paper,
Google
Earth
Engine
(GEE)
MODIS
images
from
2000,
2005,
2010,
2015,
2022
were
utilized
to
construct
Improved
Remote
Sensing
Ecological
Index
(IRSEI)
characterize
quality
more
accurately
than
RSEI.
Additionally,
combined
with
nighttime
light
remote
sensing
data,
land
use
data
socio-economic
GDP
sub-industry
spatialization
model
was
analyze
urbanization
process
depth.
To
dynamically
monitor
evaluate
interaction
between
environment
quality,
coupling
coordination
incorporating
above
methods
developed.
The
results
show
that
(1)
effective
information
IRSEI
analysis
increased
by
3.26%
compared
RSEI,
correlation
each
index
higher;
(2)
peaked
2005
has
been
declining
since
then,
rate
decline
gradually
slowing
down
2022;
(3)
suitable
characterizing
scattered
villages,
can
effectively
exhibit
process.
From
2000
2022,
rapidly
developed,
level
core
cities
such
as
Chengdu
Chongqing
far
exceeded
those
neighboring
cities;
(4)
generally
increased,
indicating
ongoing
improvements
synergy
agglomeration.
This
study
developed
method
quickly
monitoring
assessing
relationship
using
model,
provides
scientific
analytical
support
governing
emerging
agglomerations.
Ecological Indicators,
Год журнала:
2023,
Номер
151, С. 110329 - 110329
Опубликована: Май 10, 2023
Changes
in
land
use
significantly
contribute
to
carbon
emissions
and
other
environmental
problems.
Regional
changes
from
have
been
affected
by
rapid
urbanization.
To
dynamically
assess
change
the
spatiotemporal
characteristics
of
1990
2020,
this
study
used
PLUS,
grey
back-propagation
neural
network,
related
emission
accounting
models
as
well
four
distinct
2030
scenario
simulations.
According
findings,
urbanization
urban
agglomeration
on
northern
slope
Tianshan
Mountains
(UANSTM)
developed
rapidly
2020
with
a
noticeable
transfer
diverse
types
land.
In
particular,
quantity
construction
cropland
belonging
source
increased
153.271%
55.072%
respectively.
Simultaneously,
showed
trend
continuous
increase
demonstrated
an
S-shaped
curve
growth,
relatively
growth
2000
2015,
that
has
tended
be
stable
recent
years.
If
continues,
inflection
point
will
appear
around
2028.
Land
simulations
for
reveal
ecological
security
(ES)
scenario,
which
slows
expansion
while
increasing
land,
is
most
likely
reduce
negative
consequences
This
because
higher
potential
peak
per
unit
area
may
obtained
sink
Consequently,
ES
region
comparable
future
development
model.
The
results
provide
reference
territorial
space
planning
dual
target
recommendations
UANSTM.
Remote Sensing,
Год журнала:
2024,
Номер
16(2), С. 411 - 411
Опубликована: Янв. 20, 2024
The
Yangtze
River
Basin
(YZRB)
and
the
Yellow
(YRB),
which
are
crucial
for
ecology
economy
in
China,
face
growing
challenges
to
ecosystem
service
(ES)
functions
due
global
population
growth,
urbanization,
climate
change.
This
study
assessed
spatiotemporal
dynamics
of
ESs
YZRB
YRB
between
2001
2021,
comprehensively
encompassing
essential
aspects
such
as
water
yield
(WY),
carbon
sequestration
(CS),
soil
conservation
(SC),
habitat
quality
(HQ)
while
also
analyzing
trade-offs
synergies
among
these
at
grid
cells.
GeoDetector
was
employed
ascertain
individual
or
interactive
effects
natural
anthropogenic
factors
on
their
trade-offs/synergies.
results
showed
that
(1)
from
four
exhibited
significant
spatial
disparities
distribution
within
two
basins,
with
overall
trend
mainly
increasing.
consistently
substantially
higher
ES
values
than
YRB.
(2)
Complex
were
apparent
both
characterized
by
distinct
heterogeneity.
relationships
WY–CS,
WY–SC,
CS–SC,
CS–HQ
synergistic.
(3)
Precipitation,
potential
evapotranspiration,
elevation,
land
use
cover
(LULC),
slope
influenced
basins.
Notably,
factors,
particularly
interactions
involving
LULC
other
demonstrated
more
robust
explanatory
power
trade-offs/synergies
drivers.
These
findings
significantly
affect
refined
management
sustainable
development
decision-making
large
rivers
regions.
