Forests,
Journal Year:
2024,
Volume and Issue:
15(8), P. 1292 - 1292
Published: July 24, 2024
Rapidly
changing
climate
issues
and
increasingly
severe
carbon
emissions
are
great
challenges
to
the
peaking
neutrality
strategy.
Analyzing
impact
of
future
land
use
changes
on
can
provide
an
important
basis
reference
for
scientifically
constructing
a
low-carbon
sustainable
territorial
spatial
planning,
as
well
realizing
goal
dual-carbon
Based
data,
agricultural
production
activity
energy
consumption
statistics,
this
study
simulated
Yangtze
River
Delta
region
(YRDR)
from
2030
2060
under
natural
development
(ND)
scenario
(SD)
by
using
Patch-generating
Land
Use
Simulation
(PLUS)
model
analyzed
impacts
emissions.
The
results
showed
that:
(1)
simulation
obtained
PLUS
were
highly
consistent
with
actual
OA
value
97.0%,
Kappa
coefficient
0.952,
FoM
0.403;
(2)
SD
2060,
quantity
construction
was
effectively
controlled,
distributions
cropland
forests
found
dominate
in
north
south
River,
respectively;
(3)
Anhui
Province
major
contributor
(accounted
49.5%)
net
absorption
while
Zhejiang
63.3%)
forest
YRDR
during
period
2020–2060
scenario;
(4)
Carbon
main
source
proportions
higher
than
99%
both
ND
scenarios.
These
findings
underscore
urgent
need
government
take
measures
balance
relationships
between
ecological
protection
economic
development,
which
provides
optimization
structure
policy
formulation
future.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 1, 2025
ABSTRACT
Changes
in
terrestrial
ecosystem
carbon
storage
(CS)
affect
the
global
cycle,
thereby
influencing
climate
change.
Land
use/land
cover
(LULC)
shifts
are
key
drivers
of
CS
changes,
making
it
crucial
to
predict
their
impact
on
for
low‐carbon
development.
Most
studies
model
future
LULC
by
adjusting
change
proportions,
leading
overly
subjective
simulations.
We
integrated
Integrated
Valuation
Ecosystem
Services
and
Trade‐offs
(InVEST)
model,
Patch‐generating
Use
Simulation
(PLUS)
Harmonization
2
(LUH2)
dataset
simulate
Yunnan
under
different
SSP‐RCP
scenarios
economic
Within
new
PLUS‐InVEST‐LUH2
framework,
we
systematically
analyzed
alterations
effects
from
1980
2040.
Results
demonstrated
that:
(1)
Forestland
had
highest
CS,
whereas
built‐up
land
water
showed
minimal
levels.
Western
areas
boast
higher
while
east
has
lower.
From
2020,
continuously
decreased
29.55
Tg.
In
wake
population
increase
advancement,
area
expanded
2.75
times.
Built‐up
encroaches
other
categories
is
a
cause
reduction
CS.
(2)
2020
2040,
mainly
due
an
forestland,
rose
3934.65
Tg
SSP1‐2.6
scenario,
SSP2‐4.5
primarily
forestland
grassland
areas,
declined
3800.86
(3)
primary
contributor
ongoing
enlargement
causing
sustained
decline
Scenario
simulations
indicate
that
changes
will
have
significant
Yunnan.
Under
green
sustainable
development
pathway,
can
exhibit
sink
potential.
Overall,
this
research
offers
scientific
reference
optimizing
management
Yunnan,
aiding
China's
“double
carbon”
goals.