Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2239 - 2239
Published: Dec. 20, 2024
Healthy
watershed
environments
are
essential
for
socioeconomic
sustainability.
The
long-term
monitoring
and
assessment
of
ecological
provide
a
timely
accurate
understanding
ecosystem
dynamics,
informing
industry
policy
adjustments.
This
study
focused
on
the
upper-middle
Fen
River
Basin
(UMFRB)
in
eastern
China’s
Loess
Plateau
analyzed
spatial
temporal
characteristics
eco-quality
from
2000
to
2023
by
calculating
remote
sensing
index
(RSEI)
via
Google
Earth
Engine
(GEE)
platform.
In
addition,
this
also
explored
trends
future
consistency
RSEI,
as
well
impacts
natural
anthropogenic
factors
RSEI
variations.
findings
revealed
that
(1)
average
value
increased
0.51
0.57
over
past
24
years,
reflecting
an
overall
improvement
eco-quality,
although
urban
centers
Taiyuan
exhibited
localized
degradation.
(2)
Hurst
was
0.468,
indicating
anti-consistency,
with
most
regions
showing
decline
or
exhibiting
stochastic
fluctuations.
(3)
Elevation,
temperature,
precipitation,
slope,
land
use
intensity
significantly
correlated
quality.
Natural
dominate
densely
vegetated
regions,
whereas
populated
plains.
These
results
valuable
guidance
formulating
targeted
restoration
measures,
protection
policies,
engineering
solutions.
Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2203 - 2203
Published: Dec. 16, 2024
This
study
examines
the
evolution
of
eco-environmental
quality
and
its
driving
forces
in
Qinghai-Tibet
Plateau,
with
a
particular
focus
on
Qinghai
Lake
region
(QLR).
By
employing
principal
component
analysis
(PCA)
nearly
20
years
remote
sensing
data,
we
reveal
dynamic
characteristics
ecological
this
sensitive
area.
The
results
indicate
that
QLR
has
exhibited
significant
fluctuations
over
past
two
decades,
influenced
by
multiple
factors
such
as
climate
change,
human
activities,
policy
adjustments.
Specifically,
are
closely
associated
key
indicators,
including
Normalized
Difference
Vegetation
Index
(NDVI),
Land
Surface
Temperature
(LST),
Wetness
(WET),
Differential
Bare
Soil
(NDBSI).
cover
moderate
humidity
have
substantial
positive
effects
quality,
while
high
temperatures
dry
soil
conditions
exert
negative
impacts.
Land,
Journal Year:
2024,
Volume and Issue:
13(9), P. 1499 - 1499
Published: Sept. 15, 2024
The
interaction
between
the
natural
environmental
and
socioeconomic
factors
is
crucial
for
assessing
dynamics
of
plateau
ecosystems.
Therefore,
remote
sensing
ecological
index
(RSEI)
CatBoost-SHAP
model
were
employed
to
investigate
changes
in
quality
their
driving
Diqing
Tibetan
Autonomous
Prefecture,
China,
from
2001
2021.
results
showed
an
increase
0.44
0.71
2021
average
RSEI
indicating
overall
upward
trend
quality.
Spatial
analysis
shows
percentage
area
covered
by
different
levels
temporal
changes.
revealed
that
“good”
accounted
largest
proportion
study
area,
at
42.77%,
followed
“moderate”
21.93%,
“excellent”
16.62%.
“Fair”
areas
16.11%
“poor”
only
2.57%.
drivers
based
on
framework
also
indicated
climate
have
a
greater
impact
than
factors;
however,
this
effect
differed
significantly
with
altitude.
findings
suggest
that,
addition
strengthening
monitoring,
further
advancements
engineering
are
required
ensure
sustainable
development
ecosystem
continuous
improvement
Prefecture.
Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2239 - 2239
Published: Dec. 20, 2024
Healthy
watershed
environments
are
essential
for
socioeconomic
sustainability.
The
long-term
monitoring
and
assessment
of
ecological
provide
a
timely
accurate
understanding
ecosystem
dynamics,
informing
industry
policy
adjustments.
This
study
focused
on
the
upper-middle
Fen
River
Basin
(UMFRB)
in
eastern
China’s
Loess
Plateau
analyzed
spatial
temporal
characteristics
eco-quality
from
2000
to
2023
by
calculating
remote
sensing
index
(RSEI)
via
Google
Earth
Engine
(GEE)
platform.
In
addition,
this
also
explored
trends
future
consistency
RSEI,
as
well
impacts
natural
anthropogenic
factors
RSEI
variations.
findings
revealed
that
(1)
average
value
increased
0.51
0.57
over
past
24
years,
reflecting
an
overall
improvement
eco-quality,
although
urban
centers
Taiyuan
exhibited
localized
degradation.
(2)
Hurst
was
0.468,
indicating
anti-consistency,
with
most
regions
showing
decline
or
exhibiting
stochastic
fluctuations.
(3)
Elevation,
temperature,
precipitation,
slope,
land
use
intensity
significantly
correlated
quality.
Natural
dominate
densely
vegetated
regions,
whereas
populated
plains.
These
results
valuable
guidance
formulating
targeted
restoration
measures,
protection
policies,
engineering
solutions.
