Land Degradation and Development,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 7, 2024
ABSTRACT
Abrupt
vegetation
shifts,
defined
as
an
abrupt
and
irreversible
level
shift
in
the
intercept
(rather
than
slope)
productivity,
indicate
transitions
of
unstable
ecosystems
to
alternative
states.
Understanding
these
shifts
is
critical
when
monitoring
ecosystem
productivity
because
they
may
reveal
drivers
environmental
impacts
that
differ
from
gradual
changes
vegetation.
In
China's
Loess
Plateau
where
sustainable
water
resource
limits
are
being
approached
due
revegetation,
it
unclear
whether
large‐scale
have
occurred
how
various
affected
soil
content
(SMC).
this
study,
we
found
approximately
27.9%
grasslands
24.8%
forests
on
experienced
positive
2000
2020.
The
results
climate
zone
method
multi‐period
difference‐in‐differences
(MDID)
model
showed
effects
SMC
vary
geographically.
Approximately
55.9%
33.9%
can
wet
(0–289
cm)
during
greening,
while
35.7%
37.6%
cause
drying
such
events.
Positive
hydrological
responses
greening
were
concentrated
with
precipitation
below
340
mm
520
mm,
could
be
related
limitation
lower
evapotranspiration.
Similar
also
strong
evaporative
environments
temperature,
solar
radiation,
wind
speed
higher,
vapor
pressure
deficit
was
lower,
which
been
associated
constraints
evaporation
through
greening.
This
study
reveals
existence
spatial
heterogeneity
response
soils
explores
possible
climate‐regulating
mechanisms.
used
inform
development
targeted
conservation
restoration
measures
areas
similar
conditions.
Land,
Год журнала:
2025,
Номер
14(1), С. 138 - 138
Опубликована: Янв. 10, 2025
Improvements
in
vegetation
coverage
are
driven
by
both
resource
endowment
conditions
and
policy
behaviors.
To
accurately
reflect
the
restoration
effect
after
ecological
policies,
this
study
used
potential
realization
model
to
calculate
degree
of
on
Loess
Plateau
assess
Grain
for
Green
Program
from
2000
2020.
Then,
influencing
factors
were
explored
using
spatial
Dubin
model.
The
results
reveal
that
(1)
EVI
value
northern
Shaanxi
increased
below
0.25
at
beginning
approximately
0.35
end,
indicating
green
territory
gradually
expanded
northwest
over
period,
east
west
key
areas
cover
further
improvement;
(2)
compared
traditional
indicator,
can
more
evaluate
policies;
(3)
intensity
is
positively
correlated
with
growth
rate
0.183
significant
1%
level,
making
it
primary
factor
restoration.
Additionally,
annual
average
precipitation
sunshine
percentage
have
positive
contributions
improvement
Plateau.
study’s
findings
expected
contribute
development
a
scientific
basis
adjusting
enhancing
efforts.
Vegetation
is
a
fundamental
component
of
terrestrial
ecosystems,
and
accurately
assessing
the
effects
seasonal
climate
variations,
extreme
weather
events,
land
use
changes
on
vegetation
dynamics
crucial.
The
Ganjiang
River
Basin
(GRB),
key
region
for
water
conservation
recharge
in
southeastern
China,
has
experienced
significant
variable
past.
However,
comprehensive
evaluations
how
these
have
impacted
remain
limited.
To
address
this
gap,
we
used
machine
learning
models
(random
forest
XGBoost)
to
assess
impact
variables,
cover,
topography,
soil
properties,
atmospheric
CO2,
night-time
light
intensity
dynamics.
We
found
that
annual
mean
NDVI
showed
slight
increase
from
1990
1999
but
decreased
significantly
over
last
8
years.
XGBoost
was
better
than
RF
model
simulating
when
using
all
five
types
data
source
(R2
=
0.85;
RMSE
0.04).
most
critical
factors
influencing
were
cropland
ratio,
followed
by
organic
carbon
content,
elevation,
cation
exchange
capacity,
intensity,
CO2
concentration.
Spring
minimum
temperature
important
variable.
Both
linear
nonlinear
relationships
identified
between
variables
NDVI,
with
exhibiting
threshold
effects.
These
findings
underscore
need
develop
implement
effective
management
strategies
enhance
health
promote
ecological
balance
region.
Remote Sensing,
Год журнала:
2025,
Номер
17(8), С. 1402 - 1402
Опубликована: Апрель 15, 2025
An
ecological
restoration
assessment
aims
to
evaluate
whether
projects
(ERPs)
have
achieved
predefined
objectives,
such
as
improving
fractional
vegetation
cover
(FVC)
and
enhancing
ecosystem
services
(ESs),
well
optimize
strategies
based
on
outcomes.
Despite
recent
advancements,
current
studies
still
fall
short
of
fully
capturing
the
trade-offs
among
ESs
identifying
underlying
drivers
different
trends.
To
address
these
challenges,
we
applied
Theil–Sen
method
delineate
change
zones
in
Qilian
Mountain
National
Park
(QLMNP)
between
2000
2020,
employed
bivariate
Moran’s
I
statistics
analyze
synergies
four
within
zones,
including
carbon
sequestration
(CS),
soil
conservation
(SC),
water
(WC),
biodiversity
maintenance
(BIO),
utilized
a
spatial
random
forest
(SRF)
model
explore
main
socio-ecological
driving
factors
trends
their
distribution.
Our
results
revealed
significant
recovery
QLMNP
particularly
regions
with
initially
low
FVC.
Positive
CS,
SC,
BIO
highlighted
success
efforts,
primarily
driven
by
land
conversion
forests
increased
precipitation.
However,
8.82%
exhibited
stagnation
or
degradation
due
rising
temperatures
overgrazing,
leading
declines
SC
BIO.
Notably,
introduced
ESs,
especially
high
FVC
areas,
where
strong
trade-off
emerged
WC.
These
findings
highlight
need
for
refining
balance
resource
allocation.
Finally,
integrated
trends,
ES
relationships,
propose
grid-based
zonal
governance
plans
QLMNP,
prioritizing
WC
enhancement
critical
components
future
planning.
This
study
serves
foundation
optimizing
maintaining
while
offering
actionable
insights
fine-grained
evaluation
sustainable
development
planning
other
regions.
