Remote Sensing,
Год журнала:
2023,
Номер
15(19), С. 4884 - 4884
Опубликована: Окт. 9, 2023
Landscape
ecological
risk
is
considered
the
basis
for
regional
ecosystem
management
decisions.
Thus,
it
essential
to
understand
spatial
and
temporal
evolutionary
patterns
drivers
of
landscape
risk.
However,
existing
studies
lack
exploration
long-term
time
series
driving
mechanisms
Based
on
multi-type
remote
sensing
data,
this
study
assesses
pattern
changes
in
Three
Gorges
Reservoir
Area
from
1990
2020
ranks
factors
using
a
geographical
detector.
We
then
introduce
geographically
weighted
regression
model
explore
local
contributions
factors.
Our
results
show:
(1)
From
2020,
agricultural
land
decreased,
while
forest
construction
expanded
Area.
The
overall
shifted
toward
aggregation.
(2)
exhibited
decreasing
trend.
areas
with
relatively
high
were
primarily
concentrated
main
urban
area
western
region
along
Yangtze
River,
apparent
(3)
Social
natural
affected
human
interference,
annual
average
temperature,
population
density,
precipitation;
interactions
occurred
between
drivers.
(4)
influence
showed
heterogeneity.
Spatially,
social
(human
interference
density)
was
positively
correlated.
Meanwhile,
factors’
(annual
temperature
precipitation)
varied
widely
distribution,
more
complex.
This
provides
scientific
reference
management,
use
policy
formulation,
optimization
security
patterns.
Ecological Indicators,
Год журнала:
2024,
Номер
159, С. 111699 - 111699
Опубликована: Фев. 1, 2024
The
ecosystem
services
(ESs)
interactions
of
dryland,
play
a
significant
role
in
maintaining
stability
and
supporting
human
well-being
against
the
backdrop
growing
worldwide
drought.
Nevertheless,
quantitative
evaluation
this
topic
has
been
limited.
Therefore,
we
analyzed
variations
seven
ESs
(livestock
production,
carbon
sequestration,
water
yield,
microclimate
regulation,
soil
conservation,
sandstorm
prevention,
habitat
quality)
from
2000
to
2020
Hunshandak
sandy
land.
Further
utilizing
machine
learning,
discerned
variety
vital
interactions,
alongside
their
fundamental
drivers.
results
showed
that
synergies
are
considered
be
most
crucial
relationships
between
ESs.
Most
trade-offs
have
weakened
space.
Land
use
is
important
factor
restricting
trade-off
intensity
Grassland,
forest,
unused
land
sensitive
changes
relationship
intensity.
NDVI
critical
for
interpreting
thresholds
threshold
less
than
0.3.
Average
annual
precipitation
inflection
points
250,
300,
350,
450
mm,
while
temperature
occurred
at
2.8,
3,
3.5
°C.
Valuable
guidance
dryland
could
provided
by
timely
in-depth
insights
into
socio-ecological
drivers
influence
among
Remote Sensing,
Год журнала:
2023,
Номер
15(19), С. 4884 - 4884
Опубликована: Окт. 9, 2023
Landscape
ecological
risk
is
considered
the
basis
for
regional
ecosystem
management
decisions.
Thus,
it
essential
to
understand
spatial
and
temporal
evolutionary
patterns
drivers
of
landscape
risk.
However,
existing
studies
lack
exploration
long-term
time
series
driving
mechanisms
Based
on
multi-type
remote
sensing
data,
this
study
assesses
pattern
changes
in
Three
Gorges
Reservoir
Area
from
1990
2020
ranks
factors
using
a
geographical
detector.
We
then
introduce
geographically
weighted
regression
model
explore
local
contributions
factors.
Our
results
show:
(1)
From
2020,
agricultural
land
decreased,
while
forest
construction
expanded
Area.
The
overall
shifted
toward
aggregation.
(2)
exhibited
decreasing
trend.
areas
with
relatively
high
were
primarily
concentrated
main
urban
area
western
region
along
Yangtze
River,
apparent
(3)
Social
natural
affected
human
interference,
annual
average
temperature,
population
density,
precipitation;
interactions
occurred
between
drivers.
(4)
influence
showed
heterogeneity.
Spatially,
social
(human
interference
density)
was
positively
correlated.
Meanwhile,
factors’
(annual
temperature
precipitation)
varied
widely
distribution,
more
complex.
This
provides
scientific
reference
management,
use
policy
formulation,
optimization
security
patterns.
