Sustainability,
Journal Year:
2023,
Volume and Issue:
15(4), P. 3073 - 3073
Published: Feb. 8, 2023
To
tackle
ecological
problems,
many
restoration
projects
have
been
implemented
in
northern
China.
Identifying
the
drivers
of
vegetation
change
is
critical
for
continued
engineering.
In
this
study,
three
typical
reserves
Three-North
Shelter
Forest
Program
Region
(TNSFR)
were
selected
to
identify
their
development
characteristics
and
driving
mechanisms
using
normalized
difference
index
(NDVI),
climate
factors,
land
use
data.
The
results
show
that
(1)
NDVIs
increased
range
human
activities
all
reserves,
indicating
an
obvious
effect
projects.
(2)
planting
period,
was
mainly
correlated
with
activities.
After
entering
tending
impact
changes
on
dynamics
enhanced.
(3)
Temperature
precipitation
provided
approximate
effects
I,
while
Regions
II
III
more
strongly
precipitation.
(4)
proportion
areas
measures
exceeded
50%
regions.
short,
dominated
quantity
restoration,
influenced
quality
restoration.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
82, P. 102667 - 102667
Published: June 5, 2024
Understanding
the
impact
of
climate
change
and
human
activities
on
vegetation
dynamics
is
crucial
for
ecosystem
management.
Employing
Residual
Trend
method
integrating
Normalized
Difference
Vegetation
Index
(NDVI)
data
with
land
use/cover,
this
study
assesses
impacts
across
China
from
2000
to
2018.
The
findings
indicate
a
consistent
upward
trend
China's
Growing
Season
NDVI
(GSN),
averaging
rate
0.0032/yr.
Human
are
primary
drivers
change,
contributing
82.47%
GSN
in
China,
while
accounts
17.53%.
effect
showed
considerable
variation
different
river
basins,
Huaihe
River
Basin
experiencing
highest
(93.53%)
Continental
lowest
(76.27%).
Conversely,
experienced
greatest
(23.73%),
compared
minimal
influence
(6.47%).
results
offer
contribution
rates
each
type
changed
unchanged
use,
persistent
forestland,
grassland,
cropland,
grassland
forest
conversion
28.65%,
22.09%,
13.76%,
4.61%,
respectively.
Persistent
forestland
emerges
as
most
efficacious
use
facilitating
restoration.
Within
forestlands
Yangtze,
Pearl,
Southeast
Basins,
accounted
26.99%,
42.18%,
43.50%
alterations,
These
provide
scientific
basis
formulating
effective
management
protection
strategies.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
158, P. 111495 - 111495
Published: Jan. 1, 2024
In
the
southwest
karst
areas
of
China,
changes
in
overlying
vegetation
due
to
ecological
restoration
cause
considerable
carbon
sequestration
(CS).
Assessing
CS
potential
this
is
crucial
for
promoting
optimization
and
regulation
regional
restoration(VR)
policies.
This
study
based
on
net
primary
productivity,
maximum
coverage
average
coverage.
Using
VR
effectiveness
index
(Ej)
quantitatively
evaluate
spatiotemporal
characteristics
effectiveness,
quantifying
pattern
using
photosynthetic
model,
clarifying
main
driving
mechanisms
CS.This
results
showed
that
more
than
54.25
%
studied
area
ecologically
fragile
has
achieved
significant
(Ej
≥
20)
from
2000
2020.
The
spatial
distribution
intensity
was
higher
northeast.
Moreover,
there
a
strong
correlation
between
with
greater
densities
poor
natural
background
conditions,
showing
economic
growth
complement
each
other.
current
value
cover
r
=
0.06
(p
<
0.05)
magnitude
change
0.38
0.05),
which
indicates
where
greening
greater.
range
constrained
by
environment
areas,
continuous
enhancement
positive
feedback
intervention
weakening
negative
tended
promote
ground
surface
increased
potential.
provide
reference
long-term
goal
"carbon
neutrality"
response
offset
atmospheric
CO2
emissions.
Earth s Future,
Journal Year:
2024,
Volume and Issue:
12(3)
Published: March 1, 2024
Abstract
China
has
undertaken
extensive
ecological
restoration
(ER)
projects
since
the
late
1970s
in
drylands,
dominating
greening
of
drylands.
The
greening,
especially
ER‐induced,
can
affect
regional
water
availability
and
even
cause
hydrological
unsustainability
(i.e.,
lead
to
a
negative
shift
ecosystem
supply
demand
balances).
However,
there
is
still
limited
research
on
accurately
identifying
hydrologically
unsustainable
areas
(GA)
China's
Here,
we
developed
an
supply‐demand
indicator,
namely,
self‐sufficiency
(WSS),
defined
as
ratio
precipitation.
Using
remote
sensing
multisource
synthesis
data
sets
combined
with
trend
analysis
time
series
detection,
conducted
spatially
explicit
assessment
sustainability
risk
drylands
context
ER
over
period
1987–2015.
results
showed
that
17.15%
(6.36
×
10
4
km
2
)
GA
faced
WSS
(indicating
unsustainability),
mainly
Inner
Mongolia,
Shanxi,
Xinjiang
provinces,
driven
by
evapotranspiration.
Moreover,
29.34%
(1.09
5
GA,
whose
area
roughly
double
exhibited
potential
shortage
significant
decline
(−0.014
yr
−1
),
concentrated
Shaanxi,
Gansu
provinces.
reliability
our
findings
was
demonstrated
through
previous
studies
at
local
scale
soil
moisture
changes.
Our
offer
precise
grid‐scale
identification
providing
more
specific
spatial
guidance
for
implementation
adaptation
Land Degradation and Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 6, 2025
ABSTRACT
In
response
to
the
risks
posed
by
urbanization
and
climate
change
land
availability,
China
has
implemented
several
significant
cover
restoration
initiatives
since
1998.
These
have
notably
contributed
objectives
of
27th
Conference
Parties
United
Nations
Framework
Convention
on
Climate
Change
(COP27).
However,
a
systematic
evaluation
ecological
effects
vegetation
from
these
been
lacking.
This
study
utilized
NDVI,
NPP,
TerraClimate
data
comprehensively
assess
spatial
temporal
variations
in
Vegetation
Ecological
Quality
Index
(VEQI)
across
analyze
its
initiatives.
The
analysis,
spanning
2002
2022,
various
remote
sensing
sources
geostatistical
techniques,
including
Hurst
index,
multiple
regression
residual
meta‐scale
Theil–Sen
median
trend
analysis.
results
indicate
consistent
increase
China's
VEQI
over
past
20
years.
Notably,
Natural
Forest
Resources
Protection
Project
Beijing–Tianjin
Wind
Sand
Source
Comprehensive
Control
played
crucial
roles
efforts.
Nationally,
interaction
between
human
activities
emerged
as
dominant
factor,
affecting
approximately
56.8%
area.
Additionally,
our
projections
varied
future
for
trends.
While
areas
with
increasing
account
about
70.66%
total
area,
regions
decreasing
trends
or
transitioning
decrease
represent
29.34%.
Based
study's
findings,
we
recommend
development
tailored
strategies
aligned
regional
enhancement
balance
amidst
address
declining
quality.
insights
highlight
complex
relationship
context
COP27,
providing
valuable
guidance
advancing
sustainable
goals
protection
Journal of Hydrology,
Journal Year:
2022,
Volume and Issue:
617, P. 128946 - 128946
Published: Dec. 14, 2022
Rainfall
partitioning
into
stemflow,
throughfall,
and
interception
loss
by
vegetation
alters
hydrological
biogeochemical
fluxes
between
soil.
Here,
we
compiled
a
comprehensive
dataset
of
rainfall
forests,
shrublands,
croplands,
grasslands
in
China
from
287
peer
reviewed
papers
(71
English
216
Chinese).
Based
on
this
dataset,
summarized
the
best-fit
functions
reported
for
(in
both
mm
%)
as
function
amount,
well
thresholds
throughfall
stemflow
initiation.
We
explored
pattern
proportions
China,
performed
boosted
regression
trees
(BRT)
analysis
to
model
relative
effects
cross-site
biotic
abiotic
predictors
each
(%).
Our
results
identified
scarcity
data,
particularly
grasslands.
A
substantial
variability
flux
(mm)
could
be
explained
solely
with
median
R2
values
0.91,
0.99,
0.82
loss,
respectively,
linear
most
often
functions.
Significant
differences
(p
<
0.0001)
were
detected
initiating
(median:
3.3
mm;
interquartile
range,
IQR:
1.8–5.4
mm)
1.2
0.8–2.2
mm).
Stemflow
(%)
had
(IQR)
2.7
%
(1.2–6.0
%),
that
value
was
74.3
(66.7–80.3
21.6
(16.3–28.5
(%),
respectively.
proportion
0.001)
0.01)
forests
respectively;
whereas
no
significant
found
among
types.
BRT
indicated
eleven
examined,
six
classified
determining
four
predictors.
Non-linear
partial
prevalent.
This
study
avails
global
readership
findings
large
cache
Chinese
studies
have
been
inaccessible
hitherto,
providing
mechanistic
understanding
fluxes.
Forests,
Journal Year:
2024,
Volume and Issue:
15(1), P. 137 - 137
Published: Jan. 9, 2024
Global
climate
warming
has
profoundly
affected
terrestrial
ecosystems.
The
Tibetan
Plateau
(TP)
is
an
ecologically
vulnerable
region
that
emerged
as
ideal
place
for
investigating
the
mechanisms
of
vegetation
response
to
change.
In
this
study,
we
constructed
annual
synthetic
NDVI
dataset
with
500
m
resolution
based
on
MOD13A1
products
from
2000
2021,
which
were
extracted
by
Google
Earth
Engine
(GEE)
and
processed
Kalman
filter.
Furthermore,
considering
topographic
climatic
factors,
a
thorough
analysis
was
conducted
ascertain
causes
effects
NDVI’s
spatiotemporal
variations
TP.
main
findings
are:
(1)
coverage
TP
been
growing
slowly
over
past
22
years
at
rate
0.0134/10a,
notable
heterogeneity
due
its
topography
conditions.
(2)
During
study
period,
generally
showed
“warming
humidification”
trend.
influence
human
activities
growth
exhibited
favorable
trajectory,
acceleration
observed
since
2011.
(3)
primary
factor
influencing
in
southeastern
western
regions
increasing
temperature.
Conversely,
northeastern
central
mostly
regulated
precipitation.
(4)
Combined
principal
component
analysis,
PCA-CNN-LSTM
(PCL)
model
demonstrated
significant
superiority
modeling
sequences
Plateau.
Understanding
results
paper
important
sustainable
development
formulation
ecological
policies
Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(17), P. 4185 - 4185
Published: Aug. 25, 2022
The
continuous
extraction
of
mining
resources
has
led
to
the
destruction
landscape
space,
which
had
a
great
impact
on
human
living
environment
and
pristine
ecosystems.
Optimizing
ecological
spatial
networks
areas
can
restore
enhance
damaged
environment.
However,
there
are
few
cases
network
optimization
in
areas,
still
some
shortcomings.
Therefore,
this
study,
we
propose
an
theory
synergistic
enhancement
functions
carbon
sink
model
(SEEC)
for
urban
restoration
emphasizing
functional
nature
sources.
We
selected
typical
area
Xuzhou
City
as
study
area,
explored
changes
function
from
2000
2020,
2020
case,
adding
27
stepping
stones
72
corridors.
Through
comparison
robustness
before
after
optimization,
found
that
optimized
stronger
stability
ability.
This
provides
strategies
methods
projects
national
cities
also
references
lessons
other
future.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
156, P. 111170 - 111170
Published: Oct. 31, 2023
Over
the
past
two
decades
(2000–2021),
China
has
experienced
a
significant
increase
in
vegetation
cover.
However,
intricate
spatial
and
temporal
variations
cover,
arising
from
interaction
of
climate
change
human
activities,
remain
enigmatic,
particularly
across
diverse
zones.
This
research
endeavors
to
unravel
dynamics
cover
using
MOD13A1
Normalized
Difference
Vegetation
Index
(NDVI)
dataset,
delving
into
China's
seven
distinct
zones
(VZ1-VZ7).
employs
residual
analysis,
relative
geo-detector
techniques
investigate
drivers
NDVI
variation
heterogeneity
The
findings
reveal
compelling
upward
trajectory
NDVI,
predicted
during
2000–2021
period.
Notably,
extremely
increases
are
discernible
approximately
53.90%,
50.13%,
23.29%
respectively.
Among
zones,
VZ3
displays
highest
rates,
yet
proportion
with
VZ1
surpasses
other
analysis
underscores
as
predominant
catalyst
for
enhancement,
although
an
exception
is
noted
VZ3.
Furthermore,
primarily
influenced
by
interactions
between
land
use
types
humidity,
sunshine
duration,
precipitation,
especially
humidity
types.
Significant
changes
can
lead
marked
alterations
structure
function
terrestrial
ecosystems,
while
patterns
at
regional
level
also
alter
type
which
together
exert
impact
on
NDVI.
These
results
accentuate
importance
formulating
tailored
ecosystem
management
strategies
characteristics
each
zone
ensure
sustainable
development
ecosystems
China.