Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Feb. 27, 2024
Introduction:
The
Leaf
area
index
(LAI)
of
source
region
yellow
river
basin
is
an
important
indicator
for
environmental
sustainability.
Most
studies
focus
on
the
trend
LAI
in
Yellow
River
Source
Region
(YRSR)
accordance
with
both
climate
change
and
human
actives.
However,
quantifying
effect
activities
difficult
but
urgently
needed.
Specifically,
Particle
Matter
2.5
(PM2.5)
can
be
indirect
activities.
Methods:
In
this
study,
we
explored
potential
dependence
temperature,
precipitation,
PM2.5
different
land
cover
types
YRSR
linear
regression
correlation
analysis.
Results:
Over
period
2001–2020,
has
been
warming
becoming
more
humid,
leading
to
overall
improvements
vegetation.
mean
values
varied
between
seasons,
summer
having
highest
winter
lowest
LAI.
analysis
trends
revealed
that
steadily
increasing,
particularly
eastern
region.
showed
a
significant
positive
annual
average
precipitation
indicating
temperature
greater
impact
vegetation
growth.
most
exhibited
unimodal
throughout
year,
except
construction
which
had
two
distinct
peaks.
Human-induced
small
increase
Furthermore,
interannual
variation
downward
trend,
strong
Additionally,
multiple
residual
factors
strongest
Conclusion:
study
highlights
spatiotemporal
variations
its
climatic
factors.
findings
suggest
plays
crucial
role
growth
Land,
Journal Year:
2023,
Volume and Issue:
12(3), P. 583 - 583
Published: Feb. 28, 2023
The
dynamics
of
plants’
carbon
and
water
use
efficiency
their
responses
to
drought
are
crucial
the
sustainable
development
arid
semi-arid
environments.
This
study
used
trend
analysis
partial
correlation
examine
(CUE)
(WUE)
Inner
Mongolia’s
vegetation
from
2001
2020.
MODIS
data
for
gross
primary
productivity
(GPP),
net
(NPP),
potential
evapotranspiration
(PET),
(ET),
severity
index
(DSI),
plant
type
were
used.
Altered
trends
observed
during
2001–2020
in
area.
results
revealed
that
98.17%
research
area’s
was
dry
wet
1.83%
dry,
regions
with
decreased
broadly
dispersed.
In
2001–2020,
CUE
Mongolia
declined
by
0.1%·year−1,
whereas
WUE
reduced
0.008
g
C·mm−1·m−2·year−1,
but
total
change
not
significant.
west
east,
increased
southwest
northeast.
DSI
had
highest
negative
connection,
accounting
97.96%
watershed
area,
71.6%
passed
significance
test.
coefficients
spatially
opposite
those
DSI.
total,
54.21%
cover
exhibited
a
connection
different
types
negatively
correlated
except
grasslands
(GRA).
Drought
mostly
influenced
types,
which
higher
than
WUE.
study’s
findings
can
inform
climate
on
cycles.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Feb. 27, 2024
Introduction:
The
Leaf
area
index
(LAI)
of
source
region
yellow
river
basin
is
an
important
indicator
for
environmental
sustainability.
Most
studies
focus
on
the
trend
LAI
in
Yellow
River
Source
Region
(YRSR)
accordance
with
both
climate
change
and
human
actives.
However,
quantifying
effect
activities
difficult
but
urgently
needed.
Specifically,
Particle
Matter
2.5
(PM2.5)
can
be
indirect
activities.
Methods:
In
this
study,
we
explored
potential
dependence
temperature,
precipitation,
PM2.5
different
land
cover
types
YRSR
linear
regression
correlation
analysis.
Results:
Over
period
2001–2020,
has
been
warming
becoming
more
humid,
leading
to
overall
improvements
vegetation.
mean
values
varied
between
seasons,
summer
having
highest
winter
lowest
LAI.
analysis
trends
revealed
that
steadily
increasing,
particularly
eastern
region.
showed
a
significant
positive
annual
average
precipitation
indicating
temperature
greater
impact
vegetation
growth.
most
exhibited
unimodal
throughout
year,
except
construction
which
had
two
distinct
peaks.
Human-induced
small
increase
Furthermore,
interannual
variation
downward
trend,
strong
Additionally,
multiple
residual
factors
strongest
Conclusion:
study
highlights
spatiotemporal
variations
its
climatic
factors.
findings
suggest
plays
crucial
role
growth
