Frontiers in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
11
Published: Nov. 1, 2023
Soil
moisture
(SM)
serves
as
a
vital
indicator
reflecting
environmental
water
conditions,
but
significant
uncertainties
still
persist
regarding
how
human
activity
and
climate
change
affect
SM.
In
this
study,
we
quantified
the
influences
of
on
growing-season
SM
in
Qinghai–Tibet
grasslands
from
2000
to
2020.
Climate
led
decline
spatially
mean
at
rate
−0.01
−0.06
g
−1
year
0–10
10–20
cm,
respectively.
Nonetheless,
caused
soil
become
wetter
39.97%
22.29%
areas
Human
resulted
by
36%
21%
2.82%
cm
30.03%
cm.
Therefore,
both
have
contributed
pattern
where
whole
became
drier
while
specific
parts
during
last
20
years.
addition
temperature
precipitation
change,
should
also
pay
attention
response
radiation
change.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
164, P. 112141 - 112141
Published: May 21, 2024
Meteorological
droughts
triggered
by
relative
precipitation
deficits
would
propagate
through
ecohydrological
processes
and
result
in
comprehensive
drought
events
terrestrial
ecosystems.
Drought
indices
indicating
integrated
information
from
perspective
are
essential
for
monitoring
assessment.
Considering
processes,
Copula
modeling
was
utilized
to
develop
an
ecological
index
(ECDI)
that
included
key
elements
as
precipitation,
actual
evapotranspiration,
soil
moisture,
gross
primary
production.
Spatial
temporal
variations
risk
were
assessed
mainland
China
2001
2022
based
on
the
ECDI.
The
results
showed
(1)
method
suitable
ECDI
establishment.
Over
90%
of
grids
had
RMSE
values
between
estimated
empirical
joint
distributions
less
than
0.1.
(2)
a
reliable
value
98.51%,
96.51%,
59.21%
significant
positive
correlations
with
other
respectively
(standardized
solar-induced
chlorophyll
fluorescence
index,
self-calibrated
Palmer
severity
vegetation
condition
index).
also
satisfactory
relevance
consistency
univariate
each
subregion
(the
correlation
coefficients
ranged
0.4
0.77,
rates
47%
81%).
(3)
mitigation
observed
77.94%
(unused
land
excluded)
last
two
decades,
while
intensification
compound
mainly
located
Qinghai–Tibet
Plateau
Southwest
China.
(4)
composite
assessment
Northeast
China,
middle
reach
Yellow
River
Basin,
Yangtze
Basin
hot
spot
areas
high
drought.
It
is
expected
could
be
indicator
systems.
Hydrological Processes,
Journal Year:
2025,
Volume and Issue:
39(3)
Published: March 1, 2025
ABSTRACT
Information
about
evapotranspiration
(ET)
and
its
components,
that
is,
evaporation
transpiration,
is
crucial
for
a
wide
range
of
water
ecosystem
management
applications.
However,
partitioning
ET
into
two
components
often
challenging
because
their
spatiotemporal
variabilities
lack
process
understanding.
This
study
developed
machine
learning
(ML)
framework
to
shed
light
on
processes
assess
the
relative
importance
different
drivers
by
incorporating
hydrometeorology
biomass
productivity
variables.
The
Shapley
Additive
Explanations
(SHAP)
approach
was
applied
enhance
explainability
rank
components.
A
total
62
variables
covering
hydrometeorological
dimensions
were
considered
from
Reynolds
Creek
Critical
Zone
Observatory
(CZO)
station
in
Idaho.
variable
assessment
identified
leading
individually
evaporation,
transpiration
(soil
content
vapour
pressure
deficit
soil
ET).
results
further
highlighted
value
combining
achieve
better
predictability
processes.
