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.
Forests,
Journal Year:
2024,
Volume and Issue:
15(12), P. 2052 - 2052
Published: Nov. 21, 2024
Considerable
uncertainty
exists
regarding
the
overall
effects
of
future
climate
change
on
forests
in
arid
mountains,
and
elevational
range
drought-induced
tree
growth
decline
remains
unclear.
Tianshan
is
largest
mountain
regions
globally.
Here,
we
analyzed
ring
data
pure
stands
Schrenk
spruce
(Picea
schrenkiana
Fisch.
et
Mey.)
Jiangbulake
region
eastern
Mountains
along
an
gradient
(1800–2600
m
a.s.l.).
The
radial
P.
trees
declined
three
nine
sample
strips
(1800–2100
a.s.l.)
over
last
two
decades.
response
(measured
by
width
index,
RWI)
to
temperature
significantly
changed
at
“inflection
point”
2100–2200
m.
RWI
was
negatively
correlated
with
low
elevations,
whereas
opposite
observed
high
elevations.
Precipitation
minimum
temperatures
winter
spring
mean
summer
were
main
drivers
growth,
effect
maximum
concentrated
spring.
In
addition
warming
study
area
since
1970s,
(as
measured
basal
increment,
BAI)
elevations
below
2200
initially
increased
then
decreased.
Tree
higher
continues
increase.
Since
2000,
average
exceeded
that
BAI
values
have
gradually
approached
each
other
recent
decades,
although
lower
exhibited
past.
Forests,
Journal Year:
2022,
Volume and Issue:
13(9), P. 1486 - 1486
Published: Sept. 14, 2022
Knowledge
of
spatio-temporal
variation
in
vegetation
phenology
is
essential
for
understanding
environmental
change
mountainous
regions.
In
recent
decades,
satellite
remote
sensing
has
contributed
to
the
across
globe.
However,
subtropical
mountains
remains
poorly
understood,
despite
their
important
ecosystem
functions
and
services.
Here,
we
aim
characterize
pattern
start
growing
season
(SOS),
a
typical
spring
leaf
phenological
metric,
forests
Nanling
Mountains
(108–116°
E,
24–27°
N)
southern
China.
SOS
was
estimated
from
time
series
GEOV2
area
index
(LAI)
data
at
1
km
spatial
resolution
during
period
1999–2019.
We
observed
slightly
earlier
regional
mean
region
(24–25°
than
those
central
northern
also
spatially
varying
elevation
gradients
SOS.
The
showed
slope
−0.2
days/year
(p
=
0.21)
scale
over
addition,
approximately
22%
analyzed
forested
pixels
experienced
significantly
<
0.1).
Partial
correlation
analysis
revealed
that
preseason
air
temperature
most
responsible
climate
factor
controlling
interannual
this
region.
Furthermore,
impacts
on
vary
with
forest
types,
mixed
showing
stronger
between
weaker
winter
evergreen
broadleaf
open
forests.
This
suggests
complication
role
regulating
Frontiers in Plant Science,
Journal Year:
2022,
Volume and Issue:
13
Published: Nov. 24, 2022
The
global
surface
temperature
has
witnessed
a
warming
hiatus
in
the
first
decade
of
this
century,
but
how
slowing
down
will
impact
spring
phenology
over
Pan-Third
Pole
remains
unclear.
Here,
we
combined
multiple
satellite-derived
vegetation
indices
with
eddy
covariance
datasets
to
evaluate
spatiotemporal
changes
phenological
Pole.
We
found
that
continues
advance
at
rate
4.8
days
decade-1
during
period,
which
is
contrasted
non-significant
change
northern
hemisphere.
Such
significant
and
continued
was
mainly
attributed
an
increase
preseason
minimum
water
availability.
Moreover,
there
overall
increasing
importance
precipitation
on
last
four
decades.
further
demonstrated
increasingly
negative
correlation
also
across
more
than
two-thirds
dryland
region,
tentatively
suggesting
might
shift
from
precipitation-controlled
warmer
world.
Elevation
plays
a
pivotal
role
in
changing
hydroclimates,
dominating
vegetation
activity
and
shaping
distribution
pattern
alpine
areas.
However,
little
is
known
about
the
interactive
effect
of
dominant
drivers
on
along
elevation
gradients
(EG).
In
this
study,
we
explored
spatio-temporal
normalized
difference
index
(NDVI)
as
proxy
examined
its
interactions
with
temperature
(T)
precipitation
(P)
EG
sub-alpine
woodland
Southwest
China
(ASWSC)
during
2001-2018.
We
found
that
24%
ASWSC
exhibit
significant
greening
trend,
responses
to
regional
warming
slightly
wetting
study
period.
The
ratios
browning
areas
total
land
increase
below
4200
m
decrease
above
m,
while
both
change
rates
full
EG.
T-P
antagonistic,
except
for
an
additive
at
elevations
2300-4200
m.
antagonistic
can
be
enhanced
warm
dry
years,
cold
wet
years.
positive
P
increased
conditions
T
Unlike
deciduous
broadleaved
forest
(DBF)
mixed
(MF)
which
showed
EG,
evergreen
needleleaf
(ENF)
broadleaf
(EBF)
were
insignificant
P-T
effect.
Shrubland
grassland
types
strong
general,
our
results
revealed
varied
effects
different
types,
key
ascertain
how
subalpine
sustain
future
climate
change.
Elevation
exerts
a
pivotal
role
in
modulating
hydroclimatic
dynamics,
exerting
dominant
influence
on
vegetation
activity,
and
sculpting
distribution
patterns
within
alpine
regions.
Nevertheless,
conspicuous
knowledge
gap
persists
regarding
the
alternating
effects
of
environmental
drivers
activity
along
elevation
gradients
(EG).
In
this
study,
we
investigated
spatiotemporal
Normalized
Difference
Vegetation
Index
(NDVI),
employed
as
proxy
for
scrutinized
its
interactions
with
temperature
(T)
precipitation
(P)
EG
Alpine
Sub-alpine
Woodlands
Southwest
China
(ASWSC)
during
2001-2018
period.
Our
findings
illuminated
that
approximately
24%
ASWSC's
exhibited
significant
greening
trend,
response
to
regional
warming
slight
increase
study
duration.
Below
4200m
elevation,
observed
an
ratios
areas
exhibiting
browning
comparison
total
land
area,
whereas
above
4200m,
these
decreased.
Interestingly,
both
change
rates
decreased
considered
entire
EG.
Regarding
between
T
P
EG,
antagonistic
effect
was
predominant,
except
additive
elevations
2300-4200m.
This
suggested
that,
overall,
sub-alpine
ecosystems
were
highly
sensitive
climate
change,
while
section
2300-4200m
appeared
be
most
resilient
change.
The
tended
more
pronounced
warm
dry
years,
prominent
cold
wet
years.
Specifically,
positive
increased
conditions
at
below
4200m.
Deciduous
broadleaved
forest
(DBF)
mixed
(MF),
which
T-P
On
other
hand,
shrubland
grassland
types
showed
strong
summary,
our
revealed
range
diverse
(EG).
These
deepen
understanding
responses
contribute
establishing
scientific
foundation
effective
ecosystem
management
conservation
practices.
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.