Land,
Journal Year:
2024,
Volume and Issue:
13(2), P. 180 - 180
Published: Feb. 3, 2024
Spatiotemporal
variations
in
Central
Asian
vegetation
phenology
provide
insights
into
arid
ecosystem
behavior
and
its
response
to
environmental
cues.
Nevertheless,
comprehensive
research
on
the
integrated
impact
of
meteorological
factors
(temperature,
precipitation,
soil
moisture,
saturation
vapor
pressure
deficit),
topography
(slope,
aspect,
elevation),
greenhouse
gases
(carbon
dioxide,
methane,
nitrous
oxide)
remains
insufficient.
Utilizing
methods
such
as
partial
correlation
structural
equation
modeling,
this
study
delves
direct
indirect
influences
climate,
topography,
vegetation.
The
results
reveal
that
start
season
decreased
by
0.239
days
annually,
length
increased
0.044
end
0.125
annually
from
1982
2021
regions
Asia.
Compared
with
gases,
are
dominant
affecting
interannual
phenological
changes.
Temperature
deficits
(VPD)
have
become
principal
elements
influencing
dynamic
changes
phenology.
Elevation
slope
primarily
regulate
variation
VPD
whereas
aspect
mainly
affects
spatiotemporal
patterns
precipitation
temperature.
findings
contribute
a
deeper
understanding
how
various
collectively
influence
vegetation,
thereby
fostering
more
profound
exploration
intricate
relationships
terrestrial
ecosystems
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
156, P. 111102 - 111102
Published: Oct. 20, 2023
Drought
caused
by
global
warming
has
a
profound
impact
on
the
stability
of
terrestrial
ecosystems
and
agricultural
production.
As
one
key
indicators
to
measure
response
climate
change,
spatial
difference
ecosystem
resilience
will
also
affect
accuracy
regional
drought
risk
assessment.
In
this
study,
12-month
standardized
precipitation
evapotranspiration
index
(SPEI-12)
was
used
identify
characteristics
combined
with
meteorological
elements
characterize
hazard.
vulnerability
characterized
using
crop
environmental
sensitivity,
disaster
prevention,
mitigation
capacity.
Specifically,
considered
in
assessing
vulnerability.
And
exposure
investigated
considering
sown
area
population
density.
Based
this,
assessment
framework
constructed
random
forest
algorithm
applied
Huang-Huai-Hai
(HHH)
Plain,
China.
The
results
showed
that:
(1)
approximately
66.34
%
HHH
Plain
had
hazard
level
above
moderate;
among
them,
southern
Hebei,
northern
Anhui,
Henan,
scattered
small
areas
Shandong
were
extreme
high
areas.
(2)
northeast
central
Shandong,
Jiangsu
areas,
accounting
for
10.34%
total
area.
(3)
low
south
north,
center.
Among
these,
border
regions
part
Jiangsu,
as
well
Henan
high,
11.23%.
(4)
more
suitable
Plain.
This
study
result
could
provide
scientific
reference
managing
water
resources
preventing
drought.
Land,
Journal Year:
2024,
Volume and Issue:
13(2), P. 180 - 180
Published: Feb. 3, 2024
Spatiotemporal
variations
in
Central
Asian
vegetation
phenology
provide
insights
into
arid
ecosystem
behavior
and
its
response
to
environmental
cues.
Nevertheless,
comprehensive
research
on
the
integrated
impact
of
meteorological
factors
(temperature,
precipitation,
soil
moisture,
saturation
vapor
pressure
deficit),
topography
(slope,
aspect,
elevation),
greenhouse
gases
(carbon
dioxide,
methane,
nitrous
oxide)
remains
insufficient.
Utilizing
methods
such
as
partial
correlation
structural
equation
modeling,
this
study
delves
direct
indirect
influences
climate,
topography,
vegetation.
The
results
reveal
that
start
season
decreased
by
0.239
days
annually,
length
increased
0.044
end
0.125
annually
from
1982
2021
regions
Asia.
Compared
with
gases,
are
dominant
affecting
interannual
phenological
changes.
Temperature
deficits
(VPD)
have
become
principal
elements
influencing
dynamic
changes
phenology.
Elevation
slope
primarily
regulate
variation
VPD
whereas
aspect
mainly
affects
spatiotemporal
patterns
precipitation
temperature.
findings
contribute
a
deeper
understanding
how
various
collectively
influence
vegetation,
thereby
fostering
more
profound
exploration
intricate
relationships
terrestrial
ecosystems
