Land,
Journal Year:
2024,
Volume and Issue:
13(11), P. 1838 - 1838
Published: Nov. 5, 2024
Desert
ecosystems,
particularly
in
arid
regions
like
the
Tengger
Desert,
are
highly
sensitive
to
both
anthropogenic
activities
and
climate
change,
making
monitoring
evaluation
of
ecological
quality
critical
for
sustainable
management
restoration
efforts.
This
study
analyses
spatiotemporal
evolution
from
2001
2021
using
Remote
Sensing
Ecological
Index
(RSEI),
incorporating
meteorological
factors
(temperature,
precipitation,
wind
speed),
topographical
(elevation,
slope,
relief)
indices
(land
use
land
cover).
The
mean
RSEI
fluctuated
between
0.1542
0.2906,
indicating
poor
quality,
with
a
peak
2008
attributed
national
projects.
Despite
initial
improvements,
overall
declined
at
rate
0.0008
a−1
2021.
Spatially,
degradation
was
most
pronounced
central
southern
areas.
Due
sand-binding
engineering
mountain
suitable
vegetation
growth,
improvements
occurred
northeast
southwest.
Moran’s
I
Hurst
index
revealed
significant
spatial
clustering
persistence
trends,
over
49.53%
area
projected
experience
further
deterioration.
Geodetector
analysis
identified
cover
as
influential
on
RSEI,
especially
combination
speed,
temperature,
underscoring
role
human
climate.
highlights
need
sustained
management,
areas
showing
continuous
degradation,
prevent
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(4), P. 1447 - 1447
Published: Feb. 8, 2024
The
environmental
quality
of
a
mining
city
has
direct
impact
on
regional
sustainable
development
and
become
key
indicator
for
assessing
the
effectiveness
national
policies.
However,
against
backdrop
accelerated
urbanization,
increased
demand
resource
development,
promotion
concept
ecological
civilization,
cities
are
faced
with
major
challenge
balancing
economic
protection.
This
study
aims
to
deeply
investigate
spatial
temporal
variations
its
driving
mechanisms
mineral
resource-based
cities.
utilizes
wide
coverage
multitemporal
capabilities
MODIS
optical
thermal
infrared
remote
sensing
data.
It
innovatively
develops
index
(RSEI)
algorithm
PIE-Engine
cloud
platform
quickly
obtain
RSEI,
which
reflects
environment.
evolution
characteristics
in
seven
typical
China
from
2001
2022
were
analyzed.
Combined
vector
mine
surface
data,
variability
impacts
activities
environment
quantitatively
separated
explored.
In
particular,
taken
into
account
by
creating
buffer
zones
zoning
statistics
analyze
response
relationship
between
RSEI
these
factors,
including
distance
area
percentage
area.
addition,
drivers
2019
analyzed
through
Pearson
correlation
coefficients
pixel
10
natural,
economic,
mining.
Regression
modeling
was
performed
using
random
forest
(RF)
model,
ranked
order
importance
factor
assessment.
results
showed
that
(1)
changed
significantly
during
period,
negative
significant.
(2)
areas
low
values
closely
related
(3)
generally
lower
than
average
level
gradually
as
site
increased.
(4)
increase
size
initially
exacerbates
environment,
but
is
weakened
beyond
certain
threshold.
(5)
most
important
affecting
followed
DEM,
GDP,
precipitation.
great
advancing
formulating
strategies.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111932 - 111932
Published: March 1, 2024
Urbanization
is
a
key
factor
that
threatens
the
stability
of
ecosystem
services
(ESs),
which
are
crucial
for
maintaining
ecological
security
and
enhancing
human
quality
life.
Gaining
insight
into
spatiotemporal
differentiation
service
value
(ESV)
its
coupling
relationship
with
urbanization
issue
in
promoting
sustainable
regional
development.
We
employed
various
algorithms,
including
improved
equivalence
method,
random
forest
model,
mixed
geographically
temporally
weighted
regression
coordination
degree
(CCD)
to
reveal
evolution
ESV
driving
mechanisms
Lanzhou-Xining
urban
agglomeration
(LXUA)
from
1980
2020.
In
addition,
we
explored
between
combined
index
(CUI).
The
results
showed
following:
(1)
From
2020,
interannual
variation
first
decreased
then
increased,
an
increase
230
million
yuan/annum
2020
compared
1980.
Spatially,
exhibits
distribution
pattern
high
south
low
north,
west
east.
(2)
Land
use
intensity
(LUI)
elevation
contributed
values
exceeding
20%
were
most
important
drivers
ESV.
(3)
average
CCD
CUI
transitioned
being
severely
unbalanced
(0.19)
slightly
balanced
(0.42).
There
was
negative
spatial
correlation
CUI,
each
cluster
type
distributed
discretely
space.
Our
study
emphasizes
areas
characterized
by
robust
integrity
ESV,
LUI
constitutes
main
reason
decline
findings
this
can
provide
scientific
basis
coordinated
development
ESVs
LXUA
other
cities.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(11), P. 2018 - 2018
Published: June 4, 2024
The
Yellow
River
Basin
(YB)
acts
as
a
key
barrier
to
ecological
security
and
is
an
important
experimental
region
for
high-quality
development
in
China.
There
growing
demand
assess
the
status
order
promote
sustainable
of
YB.
eco-environmental
quality
(EEQ)
YB
was
assessed
at
both
regional
provincial
scales
utilizing
remote
sensing-based
index
(RSEI)
with
Landsat
images
from
2000
2020.
Then,
Theil–Sen
(T-S)
estimator
Mann–Kendall
(M-K)
test
were
utilized
evaluate
its
variation
trend.
Next,
optimal
parameter-based
geodetector
(OPGD)
model
used
examine
drivers
influencing
EEQ
Finally,
geographically
weighted
regression
(GWR)
further
explore
responses
RSEI
changes.
results
suggest
that
(1)
lower
value
found
north,
while
higher
south
Sichuan
(SC)
Inner
Mongolia
(IM)
had
highest
lowest
EEQ,
respectively,
among
provinces.
(2)
Throughout
research
period,
improved,
whereas
it
deteriorated
Henan
(HA)
Shandong
(SD)
(3)
soil-available
water
content
(AWC),
annual
precipitation
(PRE),
distance
impervious
surfaces
(IMD)
main
factors
affecting
spatial
differentiation
(4)
influence
meteorological
(PRE
TMP)
on
changes
greater
than
IMD,
IMD
showed
significant
increasing
provide
valuable
information
application
local
construction
planning.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(11), P. 1980 - 1980
Published: May 31, 2024
Human
activities
and
climate
change
have
profound
impacts
on
the
ecological
environment
of
oases
in
Xinjiang,
it
is
great
significance
to
explore
spatial
temporal
evolution
patterns
quality
this
region
for
sustainable
development
Xinjiang.
The
remote
sensing
index
(RSEI)
was
extracted
from
Google
Earth
Engine
(GEE)
platform
2000
2020,
coefficient
variation
Hurst
were
used
reveal
characteristics
stability
artificial
oasis
natural
key
factors
affecting
are
explored
through
correlation
analysis
geoprobes.
results
show
that
distribution
Xinjiang
high
north
low
south,
overall
shows
a
fluctuating
downward
trend
0.210
0.189.
Artificial
higher
RSEI
values,
stability,
sustainability
than
oases.
study
area
mainly
influenced
by
humidity,
followed
greenness
heat,
dryness
had
least
influence
model.
Based
geodetector,
top
three
highest
contributors
found
be
precipitation
(PRE)
(0.83)
>
relative
humidity
(RHU)
(0.82)
evapotranspiration
(ET)
(0.57).
Climate
main
factor
oases,
can
improved
increasing
proportion
aims
provide
scientific
basis
arid
zones.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(24), P. 4778 - 4778
Published: Dec. 21, 2024
The
Loess
Plateau
(LP)
in
China
is
an
ecologically
fragile
region
that
has
long
faced
challenges
such
as
soil
erosion,
water
shortages,
and
land
degradation.
spatial
temporal
variations
ecological
environment
quality
on
the
LP
from
2000
to
2020
were
analyzed
using
Remote
Sensing
Ecological
Index
(RSEI)
Google
Earth
Engine
(GEE)
platform.
Sen,
Mann–Kendall,
Hurst
exponent
analyses
used
examine
variation
trends
over
past
20
years,
while
Geodetector
identified
key
factors
influencing
RSEI
changes
their
interactions.
results
indicate
(1)
effectively
represents
environmental
of
LP,
with
47%
study
area’s
annual
mean
values
20-year
period
classified
moderate,
ranging
0.017
0.815.
(2)
showed
improvement
72%
area,
a
90%
overall
increase,
but
84%
these
are
not
likely
continue.
(3)
Key
during
abrupt
change
years
included
precipitation,
use/land
cover,
sediment
content,
precipitation
topography
emerging
primary
influences
quality.
Although
natural
largely
drive
changes,
human
activities
also
exert
both
positive
negative
effects.
This
underscores
importance
sustainable
management
provides
policy
insights
for
advancing
civilization
contributing
achievement
Sustainable
Development
Goals
(SDGs).
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1673 - 1673
Published: Feb. 17, 2025
High-altitude
mountainous
regions
are
highly
vulnerable
to
climate
and
environmental
shifts,
with
the
current
global
change
exerting
a
profound
influence
on
ecological
landscape
of
Tianshan
Mountains
in
China.
This
study
assesses
security
quality
China
from
2001
2020
by
employing
various
remote
sensing
techniques
such
as
Remote
Sensing
Ecological
Index
(RSEI)
for
evaluation,
Normalized
Difference
Vegetation
(NDVI)
fractional
vegetation
cover
(FVC)
analysis,
CASA
model
estimating
primary
productivity
(NPP),
carbon
source/sink
calculating
net
ecosystem
(NEP)
vegetation.
The
research
also
delves
into
evolutionary
trends
impact
mechanisms
environment
using
land
use
meteorological
data.
findings
reveal
that
RSEI’s
principal
component
(PC1)
exhibits
significant
explanatory
power,
showing
notable
increase
5.90%
2020.
Despite
relatively
stable
changes
RSEI
over
past
two
decades
covering
61.37%
area,
there
is
prevalent
anti-persistence
pattern
at
72.39%.
Notably,
NDVI,
FVC,
NPP
display
upward
characteristics.
While
most
areas
continue
emit
carbon,
marked
NEP,
signifying
an
enhanced
absorption
capacity.
partial
correlation
coefficients
between
temperature,
well
precipitation,
demonstrate
statistically
relationships
(p
<
0.05),
encompassing
6.36%
1.55%
respectively.
Temperature
displays
predominantly
negative
98.71%
significantly
correlated
zones,
while
precipitation
positive
correlation.
An
in-depth
analysis
how
affects
provides
crucial
insights
strategic
interventions
enhance
regional
protection
promote
sustainability.
