Global
temperature
increase
has
resulted
in
increasingly
frequent
and
intense
droughts
Central
Asia
is
anticipated
to
profoundly
impact
vegetation
growth
ecosystem
functionality
this
area.
Vegetation
phenology
a
pivotal
biological
indicator
of
response
climate
change.
However,
the
effects
multilayered
soil
moisture
aridity
on
Asian
have
not
been
sufficiently
investigated.
Therefore,
study
examined
intricacies
based
(SM)
Standardized
Soil
Moisture
Index
(SSMI)
data.
The
results
indicated
that
from
1982
2022,
arid
region
experienced
an
overall
decrease
SM
SSMI.
With
increasing
depth,
regions
with
pronounced
decline
expanded,
incidence
events,
as
evaluated
by
SSMI,
notably
increased.
Start
Season
(SOS)
exhibited
positive
correlation
springtime
SM,
prominent
at
depth
0–7
cm.
End
(EOS)
spatial
heterogeneity
its
summer
influence
28–100
cm
being
prominent.
EOS
showed
autumn
showing
particularly
significant
depths
7–28
Length
(LOS)
was
negatively
correlated
spring,
summer,
SM.
LOS
notable
In
shallower
layers
(0–7,
7–28,
cm),
(SOS,
EOS,
LOS)
heightened
responsiveness
short-term
lasting
for
1–3
months.
deeper
(100–289
sensitivity
prolonged
12–24
findings
contribute
understanding
phenology.
This
knowledge
will
aid
formulation
more
precise
water
resource
management
strategies
prediction
future
change
terrestrial
ecosystems.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(8), P. 1377 - 1377
Published: April 12, 2025
Pre-rain
green-up
is
a
distinctive
phenological
phenomenon
observed
in
arid
and
semi-arid
regions,
featuring
the
sprouting
of
plants
before
onset
rainy
season.
This
indicates
intricate
controls
vegetation
phenology
other
than
precipitation,
yet
its
global
distribution
patterns
underlying
causes
remain
unclear.
In
this
study,
we
used
remotely
sensed
rainfall
data
to
map
pre-rain
for
first
time
savanna
areas.
The
results
revealed
that
over
one-third
mountainous
regions.
Furthermore,
explore
potential
effect
groundwater
accessibility
on
green-up,
employed
high-resolution
imagery
quantify
parameters
analyzed
relationship
between
elevation
at
watershed
scale
typical
region
Africa.
We
found
within
area,
60.64%
sub-watersheds
show
significant
negative
correlation
(p
<
0.05)
start
season
(SOS)
elevation,
indicating
SOS
occurs
earlier
higher
elevations
despite
complex
spatial
variability
overall.
Our
study
provides
picture
tropical
drylands
suggests
tree
internal
water
regulation
mechanisms
rather
control
green-up.
Knowledge
of
terrain
impacts
on
land
surface
phenology
(LSP)
is
crucial
for
understanding
the
responses
mountainous
ecosystems
to
environmental
changes.
While
effects
factors
LSP
spatial
patterns
have
been
observed
vary
across
regions
due
their
different
climate
and
conditions,
specific
elevations
are
still
largely
unclear,
especially
in
with
diverse
hydrothermal
such
as
Tianshan
Mountains
located
arid
semiarid
region.
Here,
we
investigated
relationships
between
metrics
(i.e.
elevation
aspect)
Xinjiang,
China.
Our
analysis
utilized
reflectance
at
a
30
m
resolution
from
Harmonized
Landsat
8
Sentinel-2
dataset
2021
2022.
We
focused
two
metrics,
vegetation
greenup
(GU20)
maturity
(GU90),
which
were
estimated
using
20%
90%
thresholds
seasonal
amplitude
enhanced
index
(EVI)
time
series,
respectively.
modeled
ordinary
least
square
(OLS)
linear
regression
entire
study
region
then
applied
geographically
weighted
(GWR)
2.5
km
bandwidth
explore
local
variations.
results
suggest
that,
large
scale,
played
primary
role
controlling
variations
both
overshadowing
aspect.
However,
when
examined
scale
GWR,
aspect
emerged
an
important
factor,
south-facing
aspects
associated
earlier
dates
GU20
GU90
most
regions.
Furthermore,
found
that
influences
varied
elevations.
The
explanatory
power
was
stronger
middle
(approximately
2000–3000
m)
than
lower
(<2000
higher
(>3000
In
addition,
sensitivities
demonstrated
varying
above
2000
m.
findings
highlight
controls
elevations,
particular
emphasis
phenological
aspect-induced
climatic
differences.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
16(1), P. 49 - 49
Published: Dec. 21, 2023
The
study
of
the
response
vegetation
phenology
in
Qinghai
Tibet
Plateau
to
various
climatic
variables
is
paramount
unveiling
reaction
alpine
ecosystems
worldwide
climate
alterations.
Nonetheless,
lagged
and
cumulative
effects
on
remain
unclear.
Therefore,
based
MODIS
NDVI
data,
we
extracted
phenological
parameters
from
2001
2020,
including
start
growing
season
(SOS)
end
(EOS),
then
analyzed
mechanisms
pre-seasonal
air
temperature
(T),
precipitation
(P),
daytime
nighttime
land
surface
temperatures
(DLST,
NLST)
basis
an
investigation
lag
effects.
results
showed
that:
(1)
multiyear
mean
values
SOS
mainly
occurred
120
160
days,
accounting
for
86.17%
area,
while
EOS
were
concentrated
between
260
280
77.05%
area;
(2)
had
different
degrees
lagging
EOS.
Among
them,
time
effect
was
more
pronounced;
(3)
distinct
phenology.
In
contrast
insignificant
EOS,
pronounced
than
those
EOS;
(4)
temperature,
precipitation,
NLST
negatively
correlated,
which
proportion
negative
correlation
up
68.80%,
DLST
positively
correlated
with
a
positive
73.27%,
71.52%,
ratio
55.87%.
