Soil moisture plays an increasingly important role role in constraining vegetation productivity in China over the past two decades
Agricultural and Forest Meteorology,
Journal Year:
2024,
Volume and Issue:
356, P. 110193 - 110193
Published: Aug. 14, 2024
Language: Английский
Vapor pressure deficit dominates dryness stress on forest biomass carbon in China under global warming
Yunfeng Cen,
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Mei Tang,
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Qingyuan Wang
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et al.
Agricultural and Forest Meteorology,
Journal Year:
2025,
Volume and Issue:
364, P. 110440 - 110440
Published: Feb. 12, 2025
Language: Английский
Roles of Soil and Atmospheric Dryness on Terrestrial Vegetation Productivity in China ‐ Which Dominates at What Thresholds
Tianzi Wang,
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Jingwen Zhang,
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Zejun Li
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et al.
Earth s Future,
Journal Year:
2025,
Volume and Issue:
13(3)
Published: March 1, 2025
Abstract
Low
soil
moisture
(SM)
and
high
vapor
pressure
deficit
(VPD)
can
reduce
vegetation
productivity
(gross
primary
(GPP))
weaken
terrestrial
carbon
stock.
However,
the
roles
of
SM
VPD
on
GPP
vary
widely
in
terms
(a)
which
one
dominates
impact
(dominance)
(b)
specific
threshold
values
at
they
are
activated
(thresholds).
This
study
adopted
copula
method
to
investigate
dominance
thresholds
reduction
(GPP
reduction)
across
China
from
1982
2018.
The
results
indicate
that
predominantly
drives
71%
China's
zones,
with
decreasing
south
north.
Vapor
dominated
primarily
croplands
low
thresholds,
such
as
North
Plain
Northeast
Plain.
Moreover,
have
significant
difference
different
ecosystems,
higher
(activated
under
wetter
conditions)
forests
lower
more
humid
atmospheric
croplands.
Compared
non‐irrigated
croplands,
irrigation
significantly
increase
by
relieving
water
stress
dryness.
structural
equation
modeling
further
demonstrates
dominant
influence
reduction.
explicitly
identified
spatial
distribution
dryness
ecosystems.
It
could
enhance
our
understanding
ecosystem
sensitivity
drought
provide
guidance
for
management
Language: Английский
A new high-resolution multi-drought-index dataset for mainland China
Earth system science data,
Journal Year:
2025,
Volume and Issue:
17(3), P. 837 - 853
Published: March 5, 2025
Abstract.
Drought
indices
are
crucial
for
assessing
and
managing
water
scarcity
agricultural
risks;
however,
the
lack
of
a
unified
data
foundation
in
existing
datasets
leads
to
inconsistencies
that
challenge
comparability
drought
indices.
This
study
is
dedicated
creating
CHM_Drought,
an
innovative
comprehensive
long-term
meteorological
dataset
with
spatial
resolution
0.1°
collected
from
1961
2022
mainland
China.
It
features
six
pivotal
indices:
standardized
precipitation
index
(SPI),
evapotranspiration
(SPEI),
evaporative
demand
(EDDI),
Palmer
severity
(PDSI),
self-calibrating
(SC-PDSI),
vapor
pressure
deficit
(VPD),
which
SPI,
SPEI,
EDDI
contain
multi-scale
periods
2
weeks
1–12
months.
The
application
high-density
station
complete
framework
starting
basic
elements
(the
China
Hydro-Meteorology
dataset,
CHM).
Demonstrating
its
robustness,
excels
accurately
capturing
events
across
China,
as
evidenced
by
detailed
depiction
summer
Yangtze
River
basin.
In
addition,
evaluate
we
performed
consistency
tests
calculated
based
on
Climatic
Research
Unit
(CRU)
CN05.1
found
all
had
high
overall
2-week-scale
potential
early-warning
roles
monitoring.
Overall,
our
bridges
gap
high-precision
multi-index
CHM-based
ensures
reliability
contributes
enhancing
understanding
patterns
trends
Free
access
can
be
at
https://doi.org/10.5281/zenodo.14634773
(Zhang
Miao,
2025).
Language: Английский
From Ashes to Extremes: Dynamics of Land Surface Temperature and Vapor Pressure Deficit in Post-Fire Pine Forests
Susanne Rönnefarth,
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Yojana Adhikari,
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Florent Jouy
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et al.
Published: Jan. 1, 2025
Language: Английский
Disentangling the Effects of Atmospheric and Soil Dryness on Autumn Phenology across the Northern Hemisphere
Kangbo Dong,
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Xiaoyue Wang
No information about this author
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(19), P. 3552 - 3552
Published: Sept. 24, 2024
In
recent
decades,
drought
has
intensified
along
with
continuous
global
warming,
significantly
impacting
terrestrial
vegetation.
High
atmospheric
water
demand,
indicated
by
vapor
pressure
deficit
(VPD),
and
insufficient
soil
moisture
(SM)
are
considered
the
primary
factors
causing
stress
in
However,
influences
of
VPD
SM
on
autumn
phenology
still
unknown.
Using
satellite
observations
meteorological
data,
we
examined
impacts
end
growing
season
(EOS)
across
Northern
Hemisphere
(>30°N)
from
1982
to
2022.
We
found
that
were
as
important
temperature,
precipitation,
radiation
controlling
variations
EOS.
Moreover,
EOS
was
predominantly
influenced
or
more
than
one-third
(33.8%)
study
area.
particular,
a
ridge
regression
analysis
sensitive
other
climatic
factors,
25%
pixels
showing
highest
sensitivity
VPD.
addition,
effects
varied
among
biome
types
climate
zones.
advanced
25.8%
temperate
grasslands,
while
had
greatest
impact
advancing
17.7%
coniferous
forests.
Additionally,
27.7%
midlatitude
steppe
(BSk)
exhibited
significant
negative
correlation
between
EOS,
19.4%
marine
west
coast
(Cfb)
showed
positive
also
demonstrated
linearly
affected
leaf
area
index,
SM,
index.
Our
highlights
importance
regulating
enhances
our
understanding
ecosystem
responses
change.
Language: Английский
Satellite-Observed Hydrothermal Conditions Control the Effects of Soil and Atmospheric Drought on Peak Vegetation Growth on the Tibetan Plateau
Zhengliang Qiu,
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Longxiang Tang,
No information about this author
Xiaoyue Wang
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et al.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(22), P. 4163 - 4163
Published: Nov. 8, 2024
Recent
research
has
demonstrated
that
global
warming
significantly
enhances
peak
vegetation
growth
on
the
Tibetan
Plateau
(TP),
underscoring
influence
of
climatic
factors
dynamics.
Nevertheless,
effects
different
drought
types
remain
underexplored.
This
study
utilized
satellite-derived
gross
primary
productivity
(GPP)
and
normalized
difference
index
(NDVI)
to
assess
impacts
soil
moisture
(SM)
vapor
pressure
deficit
(VPD)
(GPPmax
NDVImax)
across
TP
from
2001
2022.
Our
findings
indicate
NDVImax
GPPmax
exhibited
increasing
trends
in
most
regions,
displaying
similar
spatial
patterns,
with
65.28%
pixels
showing
an
increase
72.98%
GPPmax.
In
contrast,
trend
for
SM
primarily
showed
a
decrease
(80.86%),
while
VPD
(74.75%).
Through
partial
correlation
analysis
ridge
regression,
we
found
was
affected
by
or
nearly
20%
areas,
although
magnitude
these
varied
considerably.
Furthermore,
revealed
hydrothermal
conditions
modulated
responses
VPD.
regions
annual
precipitation
less
than
650
mm
mean
temperature
below
10
°C,
decreased
increased
generally
inhibited
growth.
Conversely,
warm
humid
lower
higher
promoted
These
are
crucial
deepening
our
understanding
phenology
its
future
climate
change.
Language: Английский