Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
157, P. 111243 - 111243
Published: Nov. 16, 2023
Grassland,
as
highly
vulnerable
ecosystem,
requires
a
comprehensive
understanding
of
its
dynamics
and
response
patterns
to
climate
factors
in
change
challenges.
While
previous
research
has
primarily
centered
on
the
influence
interannual
variability
grassland
Net
Primary
Productivity
(NPP),
knowledge
impacts
seasonal
or
monthly
variations
annual
net
primary
productivity
(ANPP)
remains
limited.
This
study
investigated
climatic
drivers
NPP
Xinjiang's
Altay
region
from
2000
2022
using
Carnegie-Ames-Stanford
approach
(CASA)
model
random
forest
regression
model.
The
examined
significance
precipitation,
solar
radiation,
temperature,
soil
moisture,
snowmelt
water
at
three
temporal
scales.
results
revealed
following
key
findings:
(1)
Grassland
declined
significantly
2009
but
showed
gradual
increase
2022.
Spatially,
higher
values
were
observed
northern
lower
southern
region.
(2)
Precipitation
was
influential
factor
affecting
NPP,
followed
by
water.
In
determining
timing
ANPP,
June
played
critical
role
particularly
for
while
August
essential
radiation.
Moreover,
importance
had
bimodal
distribution,
with
peaks
April
October.
(3)
exhibited
diverse
nonlinear
spatial
heterogeneity
various
different
These
findings
highlight
considering
both
magnitude
local
conditions,
well
when
studying
dynamic
responses
predicting
future
impacts.
insights
enhance
comprehension
intricate
ecosystems
predictions
their
change.
Geoscience Frontiers,
Journal Year:
2022,
Volume and Issue:
13(6), P. 101452 - 101452
Published: Aug. 6, 2022
With
its
amplification
simultaneously
emerging
in
cryospheric
regions,
especially
the
Tibetan
Plateau,
global
warming
is
undoubtedly
occurring.
In
this
study,
we
utilized
28
climate
models
to
assess
model
performance
regarding
surface
air
temperature
over
Plateau
from
1961
2014,
reported
spatiotemporal
variability
future
under
four
scenarios
(SSP1-2.6,
SSP2-4.5,
SSP3-7.0,
and
SSP5-8.5),
further
quantified
timing
of
levels
(1.5,
2,
3
°C)
region.
The
results
show
that
multimodel
ensemble
means
depicted
patterns
for
past
decades
well,
although
with
differences
across
individual
models.
projected
temperature,
by
2099,
would
warm
1.9,
3.2,
5.2,
6.3
°C
relative
reference
period
(1981–2010),
increasing
rates
0.11,
0.31,
0.53,
0.70
°C/decade
SSP1-2.6,
SSP5-8.5
2015–2099,
respectively.
Compared
preindustrial
periods
(1850–1900),
mean
annual
has
hit
1.5
threshold
will
break
2
next
decade,
but
there
still
a
chance
limit
below
century.
Our
study
provides
new
understanding
high
mountain
areas
implies
urgent
need
achieve
carbon
neutrality.
Journal of Hydrology Regional Studies,
Journal Year:
2022,
Volume and Issue:
42, P. 101153 - 101153
Published: June 27, 2022
The
Qilian
Mountains,
Northwest
China
Trends
in
flood
frequency
and
their
driving
factors
must
be
analyzed
to
enable
the
effective
management
of
water
resources
inland
rivers
originating
mountains
(QMs).
Based
on
hydrological
station
datasets
from
12
typical
with
annual
maximum
peak
discharge
peaks-over-threshold
(POT)
series
for
period
1970–2019,
spatial
temporal
variations
flooding
were
detected
using
a
linear
regression
estimator
Mann–Kendall
trend
tests.
results
indicate
that
POT
floods
during
1970–2019
showed
an
increasing
at
90%
significance
level,
small
decreasing
trends
medium
large
floods.
Flood
levels
varied
east
west
across
region,
overall
east,
increase
central
rivers,
significant
increases
both
west.
Both
temperature
precipitation
increased
after
1987,
summer
was
significantly
increased;
as
result,
most
1980
s,
decreases
spring
autumn
summer.
main
causes
changes
found
heavy
rainfall,
abnormal
warming,
accelerated
glacial
melting.
Journal of Hydrology Regional Studies,
Journal Year:
2022,
Volume and Issue:
44, P. 101256 - 101256
Published: Nov. 10, 2022
Upper
reach
of
the
Heihe
River
basin
(UHRB)
We
quantified
potential
changes
in
future
climate
and
streamflow,
as
well
their
corresponding
contribution
to
annual
variations.
And
dominant
factors
streamflow
change
were
explored
further.
Robust
multivariate
bias
correction
was
applied
correct
outputs
general
circulation
method
(GCMs)
before
applying
projection.
The
Soil
Water
Assessment
Tool
model
explore
characteristics
under
projection
bias-corrected
GCMs
four
representative
emission
scenarios
(SSP1–2.6,
SSP2–4.5,
SSP3–7.0,
SSP5–8.5).
By
end
21st
century,
will
follow
a
warming
wetting
trend
within
basin;
is
projected
increase
by
>
18
%
2030
s,
36
2050
s
2090
s.
Overall,
minimum
temperature
had
positive
impact
on
cold
seasons,
especially
spring,
contributing
most
increment.
When
greater
than
5.42
°C,
peak
shift
forward
from
May
April.
Moreover,
evapotranspiration
with
temperature,
leading
decrease
summer
streamflow.
results
enable
us
better
understand
at
different
time
scales
provide
guidance
for
development
response
strategies
water
resource
management
planning.
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(1)
Published: Jan. 1, 2025
Abstract
Mountain
runoff
is
a
vital
water
source
for
irrigation
in
global
arid
regions.
Investigating
the
roles
of
major
mountain
components
such
as
snowmelt
and
glacier‐melt,
on
downstream
availability
important
understanding
resource
security.
Snowmelt
glacier‐melt
have
different
timing
availability.
However,
their
potentially
distinct
impacts
supplies
been
seldom
investigated
previously.
This
study
proposes
novel
indicator,
Irrigation
Dependence
Component
(
IDC
),
to
assess
individual
impact
availability,
considering
supply,
demand
relationship.
Applying
Yarkant
River
basin
(YRB)
China’s
region,
mainly
fed
by
from
northern
Tibetan
Plateau,
reveals
that,
despite
being
primary
contributor
total
YRB,
generally
more
reliant
due
seasonal
variations
supply/demand
Further
sensitivity
tests
under
48
climate
scenarios
indicate
that
significantly
increases
drier
climates,
while
decreases
warms,
implying
increased
importance
future,
especially
conditions
during
transition
season.
Additionally,
crucial
role
anthropogenic
factors,
including
changes
planting
area
use
efficiency,
influencing
highlighted
improved
estimation.
provides
implications
how
cryosphere
resources
management
an
efficient
indicator
further
studies
glacierized
basins
globally.