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
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
81, P. 102641 - 102641
Published: May 8, 2024
The
middle
reaches
of
the
Yellow
River
basin
(MYRB)
are
among
regions
most
severely
affected
by
soil
erosion
globally.
It
has
always
held
a
pivotal
role
in
and
water
conservation
ecological
restoration
efforts
China.
Nonetheless,
face
recurrent
drought
occurrences
growing
human
intervention,
there
have
been
notable
alterations
eco-environmental
quality
(EEQ)
within
MYRB.
However,
influences
intervention
on
EEQ
MYRB
remain
unclear.
In
this
study,
remote
sensing
index
(RSEI)
was
applied
to
quantify
spatiotemporal
changes
contributions
land
use
type
transitions
from
1990
2022.
results
showed
that
fluctuated
significantly
exhibited
weak
overall
improvement
trend
over
past
33
years.
proportion
good
excellent
grades
for
improved,
while
poor
fair
decreased,
especially
northern
regions.
follows
phased
pattern.
During
periods
1990–2002
2011–2022,
an
improving
is
observed,
period
2003–2010
shows
no
significant
change
EEQ.
Drought
had
strongest
influence
2003
2010,
followed
2002,
lesser
impact
2011
primarily
positively
influenced
spring,
autumn
winter
droughts
negatively
summer
droughts,
arid
grassland
unused
areas.
improved
during
initial
final
phases
projects,
with
drought.
increase
project
implementation
less
noticeable,
period.
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
143, P. 109409 - 109409
Published: Sept. 7, 2022
Yellow
River
Basin
(YRB),
a
climate-sensitive
and
ecologically
compromised
area
in
China,
is
increasingly
affected
by
extreme
climate
events
(especially
droughts)
resulting
from
change
frequent
human
activity.
Vegetation
responds
asymmetrically
to
drought
with
cumulative
time-lag
effects,
whereas
response
across
various
climatic
zones
diverse
vegetation
types
the
YRB
remains
unclear.
To
address
this
deficiency,
we
examined
spatiotemporal
patterns
of
accumulated
lagged
effects
on
dynamics
for
period
1982
2015.
The
examination
was
based
long-term
Normalized
Difference
Index
(NDVI)
multiscale
dataset
Standardized
Precipitation
Evapotranspiration
(SPEI).
Cumulative
(time-lag)
were
determined
via
maximum
correlation
between
NDVI
one-
12-month
timescale
SPEI
(one-month
SPEI),
as
well
corresponding
months
optimal
drought.
main
findings
follows:
(1)
Accumulated
significantly
approximately
50%
60%
vegetated
YRB,
respectively,
strongest
varying
types.
(2)
In
general,
arid
zone
tended
be
more
sensitive
resistant
drought,
evidenced
occurrence
mostly
short-term
(one–three
months)
medium-term
(six–eight
months),
respectively.
This
finding
may
related
vegetation's
strategy
coping
water
deficits.
(3)
biome-level
grassland
cultivated
stronger
than
those
forests,
which
associated
differences
functional
characteristics
root
systems.
(4)
Annual
availability
responded
droughts
multiple
timescales,
coefficients
decreasing
increasing
average
annual
SPEI.
These
results
indicate
that
areas
low
susceptible
droughts.
(5)
Independent
or
type,
cumulatively
effects.
study
improves
knowledge
climate–vegetation
relationships
provides
theoretical
support
addressing
risk
changing
climate.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(7), P. 1280 - 1280
Published: April 5, 2024
Detecting
and
attributing
vegetation
variations
in
the
Yellow
River
Basin
(YRB)
is
vital
for
adjusting
ecological
restoration
strategies
to
address
possible
threats
posed
by
changing
environments.
On
basis
of
kernel
normalized
difference
index
(kNDVI)
key
climate
drivers
(precipitation
(PRE),
temperature
(TEM),
solar
radiation
(SR),
potential
evapotranspiration
(PET))
basin
during
period
from
1982
2022,
we
utilized
multivariate
statistical
approach
analyze
spatiotemporal
patterns
dynamics,
identified
variables,
discerned
respective
impacts
change
(CC)
human
activities
(HA)
on
these
variations.
Our
analysis
revealed
a
widespread
greening
trend
across
93.1%
YRB,
with
83.2%
exhibiting
significant
increases
kNDVI
(p
<
0.05).
Conversely,
6.9%
vegetated
areas
displayed
browning
trend,
particularly
concentrated
alpine
urban
areas.
With
Hurst
exceeding
0.5
97.5%
areas,
YRB
tends
be
extensively
greened
future.
Climate
variability
emerges
as
pivotal
determinant
shaping
diverse
spatial
temporal
patterns,
PRE
exerting
dominance
41.9%
followed
TEM
(35.4%),
SR
(13%),
PET
(9.7%).
Spatially,
increased
significantly
enhanced
growth
arid
zones,
while
controlled
non-water-limited
such
irrigation
zones.
Vegetation
dynamics
were
driven
combination
CC
HA,
relative
contributions
55.8%
44.2%,
respectively,
suggesting
that
long-term
dominant
force.
Specifically,
contributed
seen
region
southeastern
part
basin,
human-induced
factors
benefited
Loess
Plateau
(LP)
inhibiting
pastoral
These
findings
provide
critical
insights
inform
formulation
adaptation
conservation
thereby
enhancing
resilience
environmental
conditions.
Global Ecology and Conservation,
Journal Year:
2023,
Volume and Issue:
46, P. e02550 - e02550
Published: June 21, 2023
Yellow
River
Basin
of
China
is
an
important
ecological
reserve.
However,
the
spatiotemporal
patterns
Gross
Primary
Production
(GPP)
in
are
unclear
from
interannual,
seasonal
and
vegetation-type
perspectives.
The
interactive
effects
temperature,
precipitation,
leaf
area
index
evapotranspiration
on
GPP
climate-driven
human-activity
contributions
to
remain
unclear.
This
study
uses
solar-induced
chlorophyll
fluorescence
data
as
indicator.
Spatiotemporal
characteristics
explored
during
2001–2020
Geodetector
Terrestrial
ecosystem
model
introduced
dissect
driving
mechanisms
under
interaction
multiple
factors
clarify
GPP.
results
show
a
general
upward
trend
2001–2020.
local
areas
where
climate
change
human
activity
intense
rapid
decline,
especially
large
medium-sized
cities
with
settlements.
ranking
single
index>
precipitation>
evapotranspiration>
explanatory
power
for
spatial
heterogeneity
after
multi-factor
shows
nonlinear
enhancement.
positive
effect
concentrated
grassland
Qinghai
Tibet
Plateau
Qilian
Mountains
west
Basin.
mainly
manifested
through
crops,
southeastern
farming
region,
showing
significant
variations.
provides
theoretical
basis
protection
sustainable
development
China.
Journal of Geophysical Research Biogeosciences,
Journal Year:
2023,
Volume and Issue:
128(2)
Published: Jan. 20, 2023
Abstract
Terrestrial
ecosystems
provide
crucial
ecosystem
services
to
human
beings,
and
their
functions
are
largely
dependent
on
soil
moisture
availability.
Although
many
studies
have
evaluated
the
effects
of
vegetation
climate
changes
at
scale,
in
water
limitation
remain
poorly
understood.
This
study
spatiotemporal
Yellow
River
Basin
(YRB)—the
second
largest
river
basin
China—during
1982–2016
identified
major
drivers
by
establishing
index
(ELI)
using
moisture,
transpiration,
net
radiation,
air
temperature.
The
results
show
a
significant
widespread
increase
YRB
during
35‐year
period.
Temporally,
areas
with
positive
ELI
(water‐limited
regime)
exhibited
upward
trend
(
p
<
0.01).
Spatially,
above
75.0%
total
showed
an
ELI.
Almost
all
trends
over
this
Further
analysis
two
different
but
comparable
methods,
partial
correlation
Lindeman‐Merenda‐Gold,
that
change
was
driver
limitation,
contributions
more
than
35.0%.
Air
temperature
atmospheric
CO
2
contributed
comparably
ELI,
followed
precipitation
changes.
These
findings
improve
understanding
pattern
underlying
mechanisms
greening
warming
YRB.