Analysis of growing season drought characteristics and driving factors for vegetation in the Santun River Irrigation Area in Xinjiang
Yuxin Wei,
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Hongfei Tao,
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Yan Xu
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et al.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(5), P. e0323918 - e0323918
Published: May 13, 2025
Global
warming
is
exacerbating
the
occurrence
of
droughts,
which
have
a
significant
impact
on
society.
Drought
one
main
factors
limiting
development
Santun
River
Irrigation
Area
in
Xinjiang.
Clarifying
driving
mechanism
and
spatial
temporal
evolution
characteristics
drought
this
irrigation
area
crucial
for
ensuring
sustainable
agriculture.
In
paper,
temperature
vegetation
index
(TVDI)
used
as
indicator
to
analyze
Xinjiang,
well
reveal
influencing
using
Geoprobe
model.
The
results
show
that
mean
value
TVDI
Xinjiang
during
19
years
was
0.
738,
categorizing
it
medium
drought.
During
period,
there
an
increasing
trend
spring
autumn
decreasing
summer.
district
had
strong
heterogeneity,
overall,
stronger
northern
part
region
than
southern
region.
Over
past
years,
light
areas
shifted
severe
classes
at
rate
114.9
km
2
·10a
−1
.
combined
effect
elevation
strongest
explanatory
power
irrigated
area,
with
q-value
0.869.
study
provide
theoretical
basis
risk
assessment
water
resource
planning
arid
regions,
reference
monitoring
studies
similar
regions.
Language: Английский
Remote-Sensed Determination of Spatiotemporal Properties of Drought and Assessment of Influencing Factors in Ordos, China
Sinan Wang,
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Quancheng Zhou,
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Yingjie Wu
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et al.
Agronomy,
Journal Year:
2024,
Volume and Issue:
14(10), P. 2265 - 2265
Published: Oct. 1, 2024
Ordos
drought
impacts
are
complex;
the
Geodetector
model
is
able
to
explore
interaction
between
impact
factors.
Based
on
severity
index
(DSI),
this
study
explored
spatio-temporal
dynamics
and
changing
trends
of
drought,
analyzed
driving
factors
DSI
spatial
differentiation
by
using
model.
The
results
show
that:
evapotranspiration
(ET)
normalized
difference
vegetation
(NDVI)
in
showed
a
significant
increasing
trend
(p
<
0.05).
rates
were
ET
(4.291
mm
yr−1)
NDVI
(0.004
yr−1).
In
addition,
interannual
variation
also
increase,
with
change
rate
0.089.
pattern
was
low
southwest
high
northeast,
potential
(PET)
while
distribution
dry
west
wet
east.
mainly
affected
five
factors:
air
temperature,
precipitation,
land
use
type,
soil
digital
elevation
(DEM),
q
exceeding
0.15,
which
main
Loess
Plateau.
Under
multiple
factors,
four
combinations
temperature
DEM,
precipitation
sunshine
duration
relative
humidity
DEM
jointly
drive
(0.156)
∩
(0.248)
has
strongest
influence
occurrence,
reaches
0.389.
This
directly
informs
specific
management
strategies
or
ecological
conservation
efforts
region.
Language: Английский
Advances in Optical and Thermal Remote Sensing of Vegetative Drought and Phenology
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(22), P. 4209 - 4209
Published: Nov. 12, 2024
In
recent
decades,
remote
sensing
of
vegetative
drought
and
phenology
has
gained
considerable
attention
from
researchers,
leading
to
a
significant
increase
in
research
activity
this
area.
While
new
indices
are
being
proposed,
there
is
also
growing
on
how
variations
affect
detection.
This
review
begins
by
exploring
the
crucial
role
satellite
optical
thermal
technologies
monitoring
drought.
It
presents
common
methods
after
revisiting
foundational
concepts.
Then,
examines
land
surface
(LSP)
due
its
strong
connection
with
Subsequently,
we
investigate
detection
techniques
that
consider
phenological
variability
recommend
approaches
improve
drought,
emphasizing
necessity
incorporate
metrics.
Finally,
suggest
potential
future
work
directions.
Unlike
other
papers
uniquely
surveys
comprehensive
advancements
both
detecting
estimating
LSP
through
sensing.
highlights
applications
for
these
practices.
Language: Английский