Frontiers in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
11
Published: April 20, 2023
Xinjiang
grasslands
play
a
crucial
role
in
regulating
the
regional
carbon
cycle
and
maintaining
ecosystem
stability,
grassland
net
primary
productivity
(NPP)
is
highly
vulnerable
to
drought.
Drought
events
are
frequent
due
impact
of
global
warming.
However,
there
lack
more
systematic
research
results
on
how
NPP
responds
drought
its
heterogeneity
characterized.
In
this
study,
CASA
(Carnegie
Ames
Stanford
Application)
model
was
used
simulate
1982–2020
Xinjiang,
standardized
Precipitation
Evapotranspiration
Index
(SPEI)
calculated
using
meteorological
station
data
characterize
The
spatial
temporal
variability
from
1982
2020
were
analyzed
by
Sen
trend
method
Mann-Kendall
test,
response
characteristics
investigated
correlation
analysis
method.
showed
that
(1)
overall
increasing,
value
growing
season
>
summer
spring
autumn.
Mild
occurred
most
frequently
autumn,
moderate
spring.
(2)
A
total
64.63%
had
mainly
concurrent
effect
drought,
these
primarily
located
northern
region
Xinjiang.
strongest
plain
weakest
alpine
subalpine
grassland.
(3)
lagged
southern
grasslands,
meadows,
1-month
time
lag
desert
3-month
This
can
contribute
reliable
theoretical
basis
for
sustainable
development.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(9), P. 2376 - 2376
Published: April 30, 2023
Simulated
historical
extreme
precipitation
is
evaluated
for
Coupled
Model
Intercomparison
Project
Phase
6
(CMIP6)
models
using
indices
defined
by
the
Expert
Team
on
Climate
Change
Detection
and
Indices
(ETCCDI).
The
of
33
Global
Circulation
Models
(GCMs)
are
against
corresponding
with
observations
from
Center
Precipitation
Dataset
(GPCC
V2020)
over
five
sub-regions
across
Arid
Central
Asia
(ACA),
Taylor
diagram,
interannual
variability
skill
score
(IVS)
comprehensive
rating
index
(MR).
Moreover,
we
compare
four
multi-model
ensemble
approaches:
arithmetic
average
(AMME),
median
(MME),
pattern
performance-based
(MM-PERF)
independence
weighted
mean
(IWM).
results
show
that
CMIP6
have
a
certain
ability
to
simulate
spatial
distribution
in
ACA
best
simple
daily
intensity
(SDII),
but
it
difficult
capture
bias
consecutive
wet
days
(CWD).
Almost
all
represent
different
degrees
southern
Xinjiang
(SX).
Most
GCMs
generally
able
trends,
reproduce
performance
heavy
(R10mm),
SDII
CWD
need
be
improved.
methods
can
reduce
internal
system
within
individual
outperform
capturing
temporal
precipitation.
However,
significant
uncertainties
remain
simulation
SX
Tianshan
Mountain
(TM).
Comparatively,
IWM
simulations
its
more
reliable.
this
study
provide
reference
application
also
uncertainty
increase
reliability
future
climate
change
projections
through
optimal
method.
International Journal of Applied Earth Observation and Geoinformation,
Journal Year:
2023,
Volume and Issue:
124, P. 103523 - 103523
Published: Oct. 24, 2023
Global
climate
change
is
shifting
the
temperate
zone
towards
higher
latitudes,
altering
crop
adaptability
and
potentially
impacting
cotton
(Gossypium
hirsutum
L.)
cultivation's
suitability
distribution.
However,
our
understanding
of
these
impacts
often
based
on
one-sided
assessments,
leading
to
potential
biases
when
optimizing
planting
spatial
distribution
adaptability.
In
this
study,
we
utilized
a
cultivation
optimization
framework,
combining
Geographical
Information
System
(GIS)
Remote
Sensing
(RS)
techniques,
accurately
identify
locations
with
ongoing
land-use
disputes.
We
then
analyzed
extent
discrepancy
between
zones
under
influence
change.
The
results
demonstrate
stability
suitable
areas
in
southern
(19%),
northern
(4%),
eastern
(1%)
regions,
indicating
comparative
advantage
climatic
resources
for
region.
climate-suitable
were
mainly
concentrated
south
side
Tianshan
Mountains
near
Tarim
River,
covering
regions
Aksu,
Hetian,
Kashgar,
Bazhou.
notable
increase
effective
accumulated
temperature,
precipitation,
sunshine
hours,
minimum
proportion
very
highly
unsuitable
decreased,
while
less
increased.
Additionally,
led
expansion
North
Xinjiang.
Moreover,
center
shifted
from
South
Xinjiang
during
2000–2020
returned
Xinjiang,
being
nearly
balanced
by
2021
(49%
each).
Despite
decrease
conflict
rate
60%
33%
2000–2020,
remained
relatively
high.
It
reasonable
attribute
significant
target
price
policy
agricultural
technological
advancement
both
Overall,
study
effectively
identifies
conflicts
suggests
layout
This
can
leverage
resource
advantages,
reduce
production
costs,
provide
valuable
references
decision
makers.
Global Ecology and Conservation,
Journal Year:
2024,
Volume and Issue:
50, P. e02853 - e02853
Published: Feb. 16, 2024
Populus,
one
of
the
most
extensively
cultivated
tree
species
in
China,
holds
substantial
potential
for
carbon
sequestration
and
economic
value.
However,
effects
climate
change
on
different
Populus
remain
unclear.
Consequently,
there
is
an
urgent
to
investigate
distribution
dynamics
under
current
future
scenarios.
This
study
employed
four
ecological
niche
models
integrated
data
from
multiple
environmental
sources
analyze
patterns
three
key
species—Populus
tomentosa,
cathayana,
lasiocarpa—under
various
scenarios
(2050,
2070,
2090).
Furthermore,
identified
primary
factors
influencing
their
distribution.
The
occurrence
P.
tomentosa
was
primarily
influenced
by
minimum
temperature
coldest
month.
Conversely,
human
population
density
important
factor
showing
strong
positive
both
cathayana
occurrences.
Soil
total
nitrogen
had
strongest
effect
lasiocarpa.
found
northern
northwestern
China
(105.45
×
104
km2),
central
regions
(82.85
lasiocarpa
southwest
(49.17
km2).
Under
scenarios,
may
shift
towards
higher
latitudes,
while
lower
latitudes.
Future
elevated
temperatures
are
expected
positively
affect
especially
lasiocarpa,
thereby
increasing
capacity
market
value,
which
maximized
a
low-concentration
scenario
(SSP245).
highlights
importance
provides
quantified
maps
conditions
China.
Based
adaptation
strategies
change,
we
recommend
"site-specific,
categorical
planting"
approach
guide
effective
forest
management
practices
response
China's
dual
goals.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(9), P. 7202 - 7202
Published: April 26, 2023
In
this
study,
the
latest
release
of
all
available
Coupled
Model
Intercomparison
Project
Phase
6
(CMIP6)
climate
models
with
two
future
scenarios
Shared
Socio-Economic
Pathways,
SSP2-4.5
and
SSP5-8.5,
over
period
2015–2100
are
utilized
in
diagnosing
extremes
Türkiye.
Coarse-resolution
were
downscaled
to
a
0.1°
×
(~9
km)
spatial
resolution
using
European
Centre
for
Medium-Range
Weather
Forecasts
Reanalysis
5-Land
(ERA5-Land)
dataset
based
on
three
types
quantile
mapping:
mapping,
detrended
delta
mapping.
The
temporal
variations
12
extreme
precipitation
indices
(EPIs)
temperature
(ETIs)
from
2015
2100
consistently
suggest
drier
conditions,
addition
more
frequent
severe
warming
Türkiye,
under
scenarios.
SSP5-8.5
scenario
indicates
water
stress
than
scenario;
total
decreases
up
20%
Aegean
Mediterranean
regions
Precipitation
indicate
decrease
frequency
heavy
rains
but
an
increase
very
also
increasing
amount
rain
days.
Temperature
such
as
coldest,
warmest,
mean
daily
maximum
expected
across
indicating
conditions
by
7.5
°C
end
century.
Additionally,
coldest
maximums
exhibit
higher
variability
change
subregions
Aegean,
Southeastern
Anatolia,
Marmara,
Türkiye
while
showed
greater
sensitivity
Black
Sea,
Central
Eastern
Anatolia
regions.
