Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(17), P. 3156 - 3156
Published: Aug. 27, 2024
Investigating
the
spatiotemporal
dynamics
of
vegetation
net
primary
productivity
(NPP)
and
its
influencing
factors
are
crucial
for
green
low-carbon
development
facilitate
human
well-being
in
Yellow
River
Basin
(YRB).
Although
research
on
NPP
has
advanced
rapidly,
view
regional
particularity
YRB,
persistence
change
trend
needs
to
be
further
discussed
more
comprehensive
impact
need
included
analysis.
Meanwhile,
spatial
non-stationarity
scale
effects
when
multiple
involved
remain
uncertain.
Here,
we
selected
a
total
twelve
natural
anthropogenic
used
multi-scale
geographically
weighted
regression
(MGWR)
disentangle
non-stationary
relationship
between
related
identify
difference
YRB.
Additionally,
analyze
variation
during
2000–2020.
The
results
revealed
following:
(1)
annual
showed
fluctuating
increasing
trend,
most
regions
will
exhibit
future
decreasing.
(2)
different
show
significant
non-stationarity.
Among
them,
intensity
shows
clear
strip-shaped
distribution
east-west
direction.
It
is
closely
characteristics
In
contrast,
regularity
influences
less
obvious.
(3)
scales
were
significantly
different,
this
changed
with
time.
small
could
better
explain
NPP.
Interestingly,
size
relative
humidity
YRB
both
larger.
This
may
due
arid
semi-arid
Our
findings
provide
policy
makers
specific
quantitative
insights
protecting
ecological
environment
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
80, P. 102505 - 102505
Published: Jan. 30, 2024
Studying
the
spatiotemporal
evolutionary
characteristics
of
vegetation
and
effect
precipitation
changes
is
necessary
for
understanding
regional
ecological
environment.
We
used
trend
analysis,
partial
correlation
significance
tests,
residual
analysis
to
analyze
evolution
driving
factors
fractional
cover
(FVC)
in
Jinghe
River
Basin
(JRB)
from
1998
2019.
The
results
showed
that
coverage
JRB
significantly
improved
FVC
an
increasing
90.64%
areas
JRB,
overall
annual
change
was
extremely
significant
(p
≤
0.01).
However,
insignificant
trend;
distribution
developed
a
uniform
direction
centroid
tended
move
backward.
area
with
between
concentration
index
accounted
largest
proportion
(18.47%).
Precipitation
generally
favored
recovery;
however,
limited
non-precipitation
dominated
FVC.
Our
study
contributes
more
comprehensive
effects
patterns
on
facilitate
protection.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 30, 2024
Land
degradation
significantly
impacts
regional
economic
development
and
food
security,
particularly
in
arid
river
basins
where
soil
water
conservation
is
crucial.
Understanding
the
extent
causes
of
land
pivotal
for
effectively
prevention
management.
This
study
employs
adjusted
vegetation
index
(SAVI),
temperature
dryness
(TVDI),
salinization
detection
(SDI),
combined
with
analytic
hierarchy
process
entropy
weight
method,
to
construct
a
comprehensive
(LDI).
Sen's
slope
trend
analysis
Mann-Kendall
significance
test
were
used
analyze
trends
Ebinur
Lake
watershed
from
2002
2022.
Additionally,
optimal
parameters-based
geographical
detector
was
examine
underlying
mechanisms
degradation.
The
results
indicate
following:
(1)
From
2012,
degree
worsened,
eastern
southeastern
parts,
as
well
southern
region
Toli
County.
2012
2022,
improved,
notable
reduction
degraded
area.
(2)
Over
period
2002-2022,
$$93.08\%$$
research
exhibited
declining
LDI
trend,
$$3.95\%$$
showed
no
change,
only
$$2.96\%$$
an
increasing
trend.
(3)
Moderate,
severe,
very
severe
mainly
occurred
on
grassland
unused
land,
while
light
non-degradation
primarily
forest
cultivated
land.
(4)
Unreasonable
use
overgrazing
identified
primary
factors
influencing
degradation,
elevation
being
secondary
factor.
interaction
between
other
found
be
most
significant,
followed
by
synergistic
effects
grazing
quantity
elevation,
annual
average
temperature,
gross
domestic
product,
moisture,
precipitation,
temperature.
this
offer
empirical
basis
taking
decisions
assistance
control
Basin,
examples
references
assessing
places.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(9), P. 1534 - 1534
Published: April 26, 2024
Bare
land,
as
a
significant
land
cover
type
on
the
Earth’s
surface,
plays
crucial
role
in
supporting
land-use
planning,
urban
management,
and
ecological
environmental
research
through
investigation
of
its
spatial
distribution.
However,
due
to
diversity
land-cover
types
surface
spectral
complexity
exhibited
by
bare
under
influence
factors,
it
is
prone
confusion
with
other
features.
In
order
extract
rapidly
efficiently,
this
study
introduces
novel
extraction
index
called
Land
Extraction
Index
(BLEI).
Then,
considering
both
Ganzi
Tibetan
Autonomous
Prefecture
Urumqi,
China
areas,
we
compared
BLEI
three
presented
indices:
Bare-soil
(BI),
Dry
Soil
(DBSI),
(BSI).
The
results
show
that
exhibits
excellent
efficacy
distinguishing
areas.
It
gets
most
outstanding
accuracy
identification
mapping,
overall
(OA),
kappa
coefficient,
F1-score
98.91%,
0.97,
97.89%,
respectively.
Furthermore,
also
effective
from
sandy
soil,
which
can
not
only
improve
mapping
soil-deserted
areas
but
provide
technological
support
for
soil
planning.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(6), P. 2482 - 2482
Published: March 17, 2024
As
a
non-precipitation
water
source,
dew
is
important
for
plant
and
animal
survival
crop
production
in
arid
water-scarce
areas.
This
study
assessed
the
amount
of
dry
zone
long-term
(2016
to
2022)
field
observation
experiment
at
Ansai
Experimental
Station,
typical
loess
hilly
area
China.
Dew
primarily
occurred
summer
autumn,
with
frequency
>50%.
The
average
annual
was
29.20
mm,
an
rainfall
641.8
mm.
dew-to-rain
ratio
4.58%,
number
days
143.6
d/a.
surface
soil
moisture
content
increased
by
approximately
1.02%
increasing
amounts.
change
5
cm
depth
0.14%
on
lagged
substantially
1
h.
Using
Beysens
model,
estimated
measured
amounts
2022
were
25.27
29.84
respectively,
normalized
root
mean
square
deviation
(NRMSD)
0.17.
Thus,
model
evaluated
well
monthly
scales.
quantification
resources
can
provide
support
development,
utilization,
management
limited
areas,
promoting
more
accurate
decision-making
sustainable
development
future.
