Land,
Journal Year:
2024,
Volume and Issue:
14(1), P. 48 - 48
Published: Dec. 29, 2024
The
Altai
Mountains
region,
characterized
by
its
unique
biodiversity
and
significant
ecological
value,
is
increasingly
under
pressure
from
anthropogenic
activities
climate
change.
This
study
investigates
the
spatial
temporal
dynamics
of
forest
grassland
ecosystems
in
National
Park
Candidate
Area
2000
to
2020,
proposes
a
comprehensive
framework
for
conservation
management
national
parks.
Through
detailed
analysis
land
cover
changes,
we
observed
expansion
13.65%
degradation
11.69%.
Rapid
occurred
before
2010,
followed
accelerated
after
that,
with
2010
identified
as
critical
turning
point.
Our
highlights
role
key
drivers,
such
soil
type,
elevation,
cropland
expansion,
human
activities,
shaping
these
ecosystems.
Using
Geodetector
propensity
score
matching
methods,
evaluated
effectiveness
existing
protected
areas
mitigating
loss.
While
effectively
contributed
restoration,
they
were
less
successful
preventing
decline,
underscoring
need
integrated
approaches.
findings
this
provide
insights
into
ecosystem
effectiveness,
offering
valuable
guidance
establishment
national-park-type
broader
regional
efforts.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(17), P. 3302 - 3302
Published: Sept. 5, 2024
The
Greater
Mekong
Subregion
(GMS)
economic
cooperation
program
is
an
effective
and
fruitful
regional
initiative
for
socioeconomic
development
in
Asia;
however,
the
vegetation
change
trends
directions
GMS
caused
by
rapid
remain
unknown.
In
particular,
there
a
current
lack
of
comparative
studies
on
changes
various
countries
GMS.
Based
MODIS
normalized
difference
index
(NDVI)
time
series
data,
this
study
analyzed
spatiotemporal
patterns
coverage
their
from
2000
to
2022
using
Theil–Sen
slope
estimation,
Mann–Kendall
mutation
test,
gravity
center
migration
model.
key
findings
were
as
follows:
(1)
NDVI
showed
overall
upward
fluctuating
trend
over
past
23
years,
with
annual
growth
rate
0.11%.
varied
slightly
between
seasons,
greatest
increases
recorded
summer
winter.
(2)
spatial
distribution
greatly,
higher
values
north–central
region
lower
south.
(3)
A
total
66.03%
area
increments
during
studied
period,
mainly
south–central
Myanmar,
northeastern
Thailand,
Vietnam,
China.
(4)
From
2022,
greenness
shifted
northward
GMS,
especially
2005,
indicating
that
rates
part
than
those
Furthermore,
all
countries,
except
Cambodia,
increased,
most
pronounced
Overall,
these
can
provide
scientific
evidence
enhance
ecological
protection
sustainable
development.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 4, 2025
Abstract
Afforestation
of
abandoned
cropland
represents
a
promising
strategy
for
land-based
climate
change
mitigation,
particularly
in
regions
where
land
resources
additional
afforestation
are
limited.
However,
the
carbon
sequestration
potential
such
remains
largely
unknown.
Here,
we
assess
spatial
distribution
China
and
its
through
incentives,
using
10,818
empirical
data
derived
from
298
peer-reviewed
articles,
multisource
remote
sensing
data,
machine
learning
models.
We
identify
6.03
Mha
that
have
been
undergoing
natural
regeneration
since
early
21st
century.
This
has
to
sequester
an
215.12–218.94
Tg
biomass
15.87–17.64
soil
organic
(SOC)
by
2060,
representing
51.95–53.94%
increase
compared
alone.
Our
results
further
show
benefits
could
offset
47.71–49.57%
government
investments
(approximately
USD
16.254
billion)
cropland.
findings
highlight
significant
on
support
China’s
neutrality
goals,
while
also
offering
cost-benefit
framework
guide
policy
decisions.
Earth s Future,
Journal Year:
2025,
Volume and Issue:
13(4)
Published: April 1, 2025
Abstract
Grain
for
Green
Program
(GFGP),
China's
most
famous
ecological
program,
has
become
the
main
driver
of
carbon
sink
increases.
However,
potential
effect
still
lacks
scenario‐based
systematic
estimation.
By
backdating
GFGP
increase
in
Loess
Plateau
(LP)
over
past
20
years,
we
forecast
and
reveal
spatial
distribution
contribution
“Double
Carbon
Target”
years
under
three
scenarios.
Our
results
showed
that
places
restored
to
forests
(GFGP‐Forest)
will
always
lead
a
by
(33.62
Tg
C
2000–2020)
0.78–1.09
1.29–2.13
2030
2060,
respectively.
grasslands
(GFGP‐Grassland)
an
2000–2020
(72.52
C),
but
decrease
2060
(0.89–9.95
7.42–11.18
C).
This
conversion
is
due
combination
Net
Primary
Productivity
heterotrophic
respiration
future,
which
indicates
restoration
programs
involved
converting
croplands
into
severely
benefits
potential.
In
summary,
it
essential
correctly
quantify
LP
resulting
from
GFGP,
properly
manage
augment
GFGP‐Forest
avoid
source
GFGP‐Grassland
future.
highlight
hidden
danger
leaking
typical
semi‐arid
region
future
climate‐changing
conditions.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(14), P. 5922 - 5922
Published: July 11, 2024
In
the
past,
during
development
processes,
major
ecological
and
environmental
problems
have
occurred
in
agro-pastoral
ecotone
of
China,
which
had
a
strong
impact
on
regional
sustainable
development.
As
such,
analyzing
evolution
ecosystem
service
value
(ESV)
predicting
futural
spatio-temporal
under
different
scenarios
will
provide
scientific
basis
for
further
This
research
analyzed
land
use
cover
change
(LUCC)
from
2000
to
2020,
adopted
Mark-PLUS
model
construct
(prioritizing
grassland
development,
PDG;
prioritizing
cropland
PCD;
business
as
usual,
BAU),
simulated
future
LUCC.
The
driving
factors
influencing
each
type
were
revealed
using
PLUS
model.
Based
LUCC
data,
distribution
ESV
was
calculated
via
equivalent
factor
method,
including
four
primary
services
(supply
service,
adjustment
support
cultural
service)
eleven
secondary
(water
resource
supply,
maintaining
nutrient
circulation,
raw
material
production,
aesthetic
landscape,
food
purification,
soil
conservation,
biodiversity,
gas
regulation,
climate
hydrologic
regulation).
results
showed
that
total
increased
first
then
declined
reaching
highest
CNY
8207.99
million
2005.
scenarios,
shows
trend
PGD
(CNY
8338.79
million)
>
BAU
8194.82
PCD
8131.10
million).
global
Moran
index
also
follows
this
distribution.
Additionally,
precipitation
(18%),
NDVI
(16%),
DEM
(16%)
are
most
important
spatial
agglomeration
characteristics
Moran’s
local
indicators
auto-correlation,
show
high
coordination
degree
between
high–high
cluster
areas
water
areas.
These
point
out
key
points
next
step
restoration
projects
help
with
achieving
goals
more
effectively.