Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2162 - 2162
Published: Dec. 12, 2024
This
study
aims
to
assess
the
spatiotemporal
changes
in
ecological
environment
quality
(EEQ)
arid
regions,
using
Xinjiang
as
a
case
study,
from
2000
2023,
with
an
improved
remote
sensing
index
(IRSEI).
Due
complex
ecology
of
traditional
(RSEI)
has
limitations
capturing
dynamics.
To
address
this,
we
propose
enhanced
IRSEI
model
that
replaces
normalization
standardization,
improving
robustness
against
outliers.
Additionally,
kernel
normalized
difference
vegetation
(kNDVI)
and
salinity
(NDSI)
are
integrated
saline
areas
more
effectively.
The
methodology
includes
time
series
analysis,
spatial
distribution
statistical
evaluations
method,
coefficient
variation,
Hurst
index.
Results
show
accurately
reflects
dynamics
than
RSEI.
Temporal
analysis
reveals
stable
overall
EEQ,
some
improving.
Spatially,
is
generally
better
north
mountainous
regions
south
plains.
Statistical
suggest
positive
trend
changes,
surpassing
degraded
ones.
contributes
monitoring,
protection,
management
region
ecosystems,
emphasizing
need
for
high-resolution
data
further
analysis.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
81, P. 102641 - 102641
Published: May 8, 2024
The
middle
reaches
of
the
Yellow
River
basin
(MYRB)
are
among
regions
most
severely
affected
by
soil
erosion
globally.
It
has
always
held
a
pivotal
role
in
and
water
conservation
ecological
restoration
efforts
China.
Nonetheless,
face
recurrent
drought
occurrences
growing
human
intervention,
there
have
been
notable
alterations
eco-environmental
quality
(EEQ)
within
MYRB.
However,
influences
intervention
on
EEQ
MYRB
remain
unclear.
In
this
study,
remote
sensing
index
(RSEI)
was
applied
to
quantify
spatiotemporal
changes
contributions
land
use
type
transitions
from
1990
2022.
results
showed
that
fluctuated
significantly
exhibited
weak
overall
improvement
trend
over
past
33
years.
proportion
good
excellent
grades
for
improved,
while
poor
fair
decreased,
especially
northern
regions.
follows
phased
pattern.
During
periods
1990–2002
2011–2022,
an
improving
is
observed,
period
2003–2010
shows
no
significant
change
EEQ.
Drought
had
strongest
influence
2003
2010,
followed
2002,
lesser
impact
2011
primarily
positively
influenced
spring,
autumn
winter
droughts
negatively
summer
droughts,
arid
grassland
unused
areas.
improved
during
initial
final
phases
projects,
with
drought.
increase
project
implementation
less
noticeable,
period.
Land Degradation and Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 24, 2025
ABSTRACT
Saline
soil
is
an
important
inorganic
carbon
pool
and
highly
susceptible
to
environmental
change.
The
Tarim
Basin
the
largest
inland
basin
around
world,
with
saline
land
making
up
approximately
20%
of
its
total
area,
while
few
research
has
been
conducted
on
salt‐affected
density
distribution
in
region.
To
identify
effect
salinity
density,
we
collected
135
profiles
(0–100
cm),
calculated
organic
(SOCD),
(SICD),
(STCD)
their
distribution,
discussed
relationships
climate
physicochemical
properties.
Results
showed
that
average
STCD,
SOCD,
SICD
at
0–100
cm
profile
were
25.0,
3.7,
21.3
kg
C
m
−2
,
respectively.
was
6.30–9.04
times
higher
than
SOCD.
vertical
SOCD
decreased
increasing
depth,
whereas
STCD
increased.
Soil
had
negative
effects
by
reducing
both
SICD,
impact
degrees.
Compared
non‐salinity,
10.5%,
7.0%
10.5%
under
light,
moderate,
severe
salinity,
Random
forest
analysis
indicated
nitrogen
content
(STN)
bulk
(BD)
most
predictor
variables
for
estimating
SICD.
significant
correlation
STN
BD,
resulting
a
Our
findings
emphasized
reduced
mainly
reduction
stocks
increased
degree.
In
addition,
mitigation
adverse
STC
could
be
considered
density.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 2296 - 2296
Published: Feb. 21, 2025
The
Shendong
mining
area
is
the
largest
coal
production
base
in
western
China.
Due
to
long-term
activities,
ecological
environment
quality
(EEQ)
of
has
undergone
significant
changes.
Investigating
evolution
EEQ
during
process
mineral
resource
exploitation
great
importance
for
sustainable
development
area.
However,
current
research
lacks
a
quantitative
assessment
contributions
climate
change
and
human
activities
spatiotemporal
variations
In
this
study,
Remote
Sensing
Ecological
Index
(RSEI)
was
used
as
an
evaluation
metric.
Theil–Sen
slope
estimation
Mann–Kendall
test
were
applied
analyze
changes
from
1990
2023.
Additionally,
partial
derivative
method
investigate
response
characteristics
climatic
factors
quantify
relative
these
two
driving
factors.
results
indicate
that,
over
past
34
years,
overall
study
shown
improving
trend.
Compared
1990,
proportions
areas
with
good-grade
excellent-grade
2023
increased
by
28%
23.78%,
respectively.
second
phase
(2011–2023),
average
RSEI
time
series
value
significantly
compared
first
(1990–2010).
Among
factors,
annual
precipitation
had
greatest
impact
on
EEQ,
contribution
rate
0.085.
conversion
unused
land
forestland
improved
showing
very
increase
RSEI,
accounting
82.30%.
region
significant,
slight
increases
smaller
than
conclusion,
trend,
being
dominant
factor
71.52%
where
increased,
while
26.89%
decreased.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(18), P. 13881 - 13881
Published: Sept. 18, 2023
Ecosystems
in
arid
and
semi-arid
areas
are
delicate
prone
to
different
erosive
effects.
Monitoring
evaluating
the
environmental
ecological
condition
such
contribute
governance
restoration
of
ecosystem.
Remote
sensing
indices
(RSEIs)
widely
used
as
a
method
for
monitoring
have
been
extensively
applied
various
regions.
This
study
selects
Loess
Plateau
research
area,
response
existing
on
that
predominantly
uses
vegetation
indicators
greenness
factors.
A
fluorescence
remote
index
(SRSEI)
is
constructed
by
using
monthly
synthesized
sun-induced
chlorophyll
data
during
growth
period
new
component
combining
it
with
MODIS
product
data.
The
generates
RSEI
SRSEI
area
spanning
from
2001
2021.
compares
analyzes
differences
between
two
explores
evolution
patterns
ecosystem
quality
over
21-year
period.
results
indicate
consistent
positively
correlated
linear
fitting
trend
changes
newly
exhibits
higher
correlation
rainfall
data,
shows
more
significant
decrease
magnitude
drought
occurrences,
indicating
faster
stronger
area.
largest
proportions
found
area’s
regions
both
substantial
minor
improvements,
pointing
an
upward
tendency
Plateau’s
development.
can
effectively
evaluate
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: May 20, 2024
The
geochemical
processes
of
groundwater
in
arid
regions
are
generally
influenced
by
both
natural
hydrological
and
human
activities.
However,
impacts
water-rock
interactions
on
recharge
via
processes,
controlled
intermittent
river
water
flow
withdrawals,
is
still
poorly
understood.
In
this
study,
327
chemistry
datasets
collected
from
the
upper,
middle
(including
Gobi
riparian
zones),
lower
Ejina
Delta
Northwest
China
2001
to
2023
were
analyzed.
Our
results
revealed
that
total
dissolved
solids
(
TDS
)
concentration
ranged
approximately
881.5
±
331.6
mg/L
upper
1,953.6
1,208.5
regions,
with
an
increasing
trend
observed.
Ecological
conveyance
EWC
),
recharging
aquifer
through
flow,
resulted
a
decrease
concentrations
mainly
region.
While
irrigation
notably
affected
region,
resulting
substantial
increase
salinity.
Groundwater
Middle
region
remained
relatively
stable
over
study
period.
Generally,
hydrochemical
composition
shifted
Na-Mg-SO
4
-HCO
3
Na-Mg-Ca-SO
types
-Cl
Na-SO
predominant
Gobi.
These
shifts
likely
be
attributed
interplay
interactions,
coupled
evaporation-crystallization
processes.
Inverse
modeling
using
PHREEQC
upper-middle
primary
involved
calcite
dissolution
precipitation
dolomite,
gypsum,
halite,
sylvite
salts,
as
well
cation
exchange
reactions
(2NaX+Ca
2+
→CaX
2
+2Na
+
).
contrast,
hydrogeological
system
middle-lower
exhibited
opposite
pattern
interactions.
Overall,
ecological
partially
facilitated
during
lateral
while
disrupted
hydrogeochemical
equilibrium,
involving
halite
compared
other
regions.
Land,
Journal Year:
2024,
Volume and Issue:
13(8), P. 1152 - 1152
Published: July 27, 2024
The
integrity
and
resilience
of
our
environment
are
confronted
with
unprecedented
challenges,
stemming
from
the
escalating
pressures
urban
expansion
need
for
ecological
preservation.
This
study
proposes
an
Improved
Remote
Sensing
Ecological
Index
(IRSEI),
which
employs
humidity
(WET),
Normalized
Difference
Vegetation
(NDVI),
Land
Surface
Temperature
(LST),
a
standardized
Building–Bare
Soil
(NDBSI),
aerosol
optical
depth
(AOD),
comprehensive
salinity
index
(CSI).
IRSEI
model
was
utilized
to
assess
quality
Hangzhou
over
period
2003
2023.
Additionally,
random
forest
employed
analyze
factors
driving
quality.
Furthermore,
gradient
effect
in
horizontal
direction
away
center
examined
using
buffer
zone
method.
Our
analysis
reveals
following:
(1)
approximately
95%
alterations
observed
2023
exhibited
marginal
improvements,
declines,
or
were
negligible;
(2)
transformations
during
this
period,
including
variations
surface
temperature
transportation
networks,
strong
correlations
(0.85)
human
activities.
Moreover,
influence
AOD
on
demonstrated
distinct
spatial
disparities;
(3)
remained
generally
stable
up
30
km
outside
city
center,
indicating
trend
agglomeration
significant
areas
surroundings.
serves
as
robust
framework
bolstering
assessment
regional
health,
facilitating
preservation
rejuvenation
efforts,
fostering
coordinated
sustainable
development.
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.