Land,
Год журнала:
2025,
Номер
14(3), С. 460 - 460
Опубликована: Фев. 23, 2025
Global
climate
change
and
changes
in
land
use
structures
during
rapid
urbanization
have
profoundly
impacted
ecosystem
carbon
storage.
Previous
studies
not
combined
different
scenarios
patterns
to
predict
Using
from
both
the
InVEST-PLUS
model
SSP-RCP,
with
multi-source
remote
sensing
data,
this
study
takes
Lijiang
River
Basin
as
area
explore
dynamic
storage
under
scenarios.
The
findings
are
follows:
(1)
From
2000
2020,
cultivated
construction
increased,
while
forest
significantly
decreased,
lowering
4331.404
km2
4111.936
km2.
This
mainly
manifests
significant
transformation
of
into
lands.
Under
scenarios,
lands
will
continue
expand,
decrease,
grassland
increase.
(2)
Total
decreased
changing
most
significantly,
for
a
total
reduction
5,540,612.13
tons,
followed
by
water
area.
Regardless
future
scenario,
experience
decreasing
trend;
decline
reserves
is
SSP585
scenario
smallest
SSP126
slight
increases
even
appearing
some
regions.
(3)
perspective
change,
large-scale
expansion
process
has
occupied
large
amount
ecological
land,
such
forests
grasslands,
main
reason
basin.
global
temperature
increase
caused
high-emission
(SSP585)
may
exceed
optimal
growth
plants,
inhibit
absorption
capacity
vegetation,
thus
reduce
fixation
grassland.
Therefore,
maintain
long-term
goals
sustainable
development,
should
be
prioritized
strengthen
protection
resources
northern
central
regions
Basin,
balance
relationship
between
urbanization,
avoid
occupation
excessive
improve
sink
potential
These
research
results
can
provide
scientific
basis
optimization
spatial
patterns,
restoration
protection,
enhancement
“double
carbon”
goal.
Forests,
Год журнала:
2023,
Номер
14(12), С. 2307 - 2307
Опубликована: Ноя. 24, 2023
Quantitatively
revealing
the
response
of
carbon
stocks
to
land
use
change
(LUCC)
and
analyzing
vulnerability
ecosystem
stock
(ECS)
services
are
great
significance
for
maintaining
cycle
ecological
security.
For
this
study,
China’s
Guizhou
Province
was
study
area.
Land
data
in
2000,
2010,
2020
were
selected
explore
impacts
LUCC
on
multiple
scenarios
by
combining
PLUS
InVEST
models
then
ECS
services.
The
results
show
that
forest
plays
an
important
role
improving
karst
plateau
mountainous
areas.
In
2000–2020,
expansion
offset
reduced
built-up
land,
greatly
regional
function.
Following
natural
trend
(NT),
total
will
decrease
1.86
Tg;
however,
under
protection
(EP)
measures,
service
performs
a
positive
function
LUCC.
Focusing
socioeconomic
development
(ED)
increase
service.
future,
area
size
should
be
increased,
restricted
better
improve
Land,
Год журнала:
2024,
Номер
13(3), С. 282 - 282
Опубликована: Фев. 24, 2024
Ecologically
fragile
areas
are
confronted
with
the
contradiction
between
economic
development
and
ecological
protection,
especially
in
Tuha
region
(Turpan
Hami),
where
extremely
vulnerable
environment
limits
local
sustainable
development.
To
address
this,
this
study
utilizes
POI
(Point
of
Interest)
data,
land
use,
socioeconomic
statistical
data
to
achieve
spatial
quantification
indicators
on
a
kilometer
grid
scale,
constructing
multi-factor,
multi-dimensional
evaluation
system
for
effects
based
SDGs
(Sustainable
Development
Goals).
The
entropy
method,
comprehensive
coupling
coordination
degree
model,
geographical
detector
method
used
analyze
relationships
systems
at
different
scales
factors
influencing
system’s
degree.
results
indicate
that
from
2010
2020,
economic,
social,
region,
as
well
their
scores,
exhibited
similarity.
showed
an
upward
trend,
social
displayed
inverted
U-shaped
trend
rising
then
declining,
while
presented
declining
increasing.
At
county
closely
approximates
index,
showing
continuous
trajectory.
Compared
Turpan
city,
Hami
Yizhou
district,
exhibits
best
degree,
growth
is
most
significant
Gaochang
district.
main
grain
production
GDP
(gross
domestic
product).
This
provides
new
perspective
indicators,
which
great
significance
balancing
protection
promoting
coupled
coordinated
society,
economy,
ecology
ecologically
areas.
Land,
Год журнала:
2024,
Номер
13(2), С. 185 - 185
Опубликована: Фев. 4, 2024
In
response
to
a
series
of
problems
brought
about
by
rapid
economic
development,
such
as
global
warming
and
the
continuous
deterioration
ecological
environment,
China
has
taken
initiative
shoulder
responsibility
major
country
continued
contribute
Chinese
wisdom
solutions
goal
“carbon
peak
carbon
neutrality”
at
an
early
date.
this
paper,
Henan
Province
been
selected
study
area,
changes
in
land
use
storage
from
2000
2020
have
analyzed
spatially
temporally.
The
PLUS
model
is
used
predict
future
under
different
scenarios,
InVEST
estimate
corresponding
scenarios.
results
showed
that
(1)
During
2000–2020,
farmland
decreasing
trend,
grassland
construction
trend
then
increasing
woodland
trend.
From
2020,
Henan’s
overall
downward
each
year,
with
mainly
western
southern
regions
province,
spatial
distribution
high
west
low
east.
(2)
Under
normal
development
scenario
(SSP2-RCP4.5)
2030
2050,
area
basically
while
upward
annually,
priority
(SSP5-RCP8.5).
was
smallest
protection
(SSP1-RCP2.6).
provide
basis
for
decision-making
regarding
low-carbon
circular
developments
rational
optimal
Henan.
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Июль 24, 2024
The
Jianghan
Plain
is
simultaneously
responsible
for
ecological
protection,
food
security
and
urbanization,
land
use
conflicts
are
prominent.
Revealing
the
driving
mechanism
of
use/cover
change
(LUCC)
simulating
pattern
can
help
to
coordinate
in
future.
Utilizing
National
Land
Survey
Data
(NLSD)
Jiangling
County
(2011–2020)
patch-generating
simulation
(PLUS)
model,
this
paper
analyzed
characteristics
evolution,
applied
random
forest
classification
(RFC)
analyze
mechanism,
simulated
2035
under
three
scenarios
natural
development,
planning
guidance
protection
through
Markov
Cellular
Automaton
based
on
multiple
seeds
(CARS)
models,
proposed
several
countermeasures.
study
found
that:
1)
From
2011
2020,
town
construction
increased,
village
land,
agricultural
decreased.
2)
factors
LUCC
were
socio-economic
factors,
spatial
descending
order.
3)
In
scenarios,
trend
expansion,
encroachment
inevitable
by
2035.
4)
It
imperative
actively
advocate
large-scale
mechanization
informatization
production,
encourage
repurposing
idle
inefficiently
used
facilitate
multi-purpose
utilization,
implement
a
policy
locally
balancing
occupation
compensation
cultivated
land.
5)
When
employing
PLUS
model
simulate
LUCC,
using
continuous
NLSD
yielded
more
accurate
results
than
remote
sensing
image
interpretation
data.
This
offers
theoretical
basis
coordinated
development
Plain,
presents
method
enhance
accuracy
model.
Sustainability,
Год журнала:
2024,
Номер
16(11), С. 4461 - 4461
Опубликована: Май 24, 2024
Resource
exploitation
markedly
alters
land
use
and
ecological
carbon
storage,
posing
risks
to
sinks
food
security.
This
study
analyzes
land-use
change
from
1990
2020
in
the
resource-based
province
of
Shanxi,
China.
By
introducing
a
mineral
resource
driver,
PLUS
model
was
used
predict
four
scenarios:
natural
development
(ND),
cropland
protection
(CP),
(EP),
dual
ecology
(DP).
The
spatial
temporal
evolutions
storage
were
then
analyzed
using
InVEST
model.
Forests
predominantly
distributed
mountainous
areas,
with
croplands
southerly
central
flat
construction
lands
around
cities,
mining
sporadically
across
Shanxi.
From
2020,
grasslands
decreased,
while
forest,
construction,
increased.
Carbon
decreased
continuously,
total
loss
15.1
×
106
t.
High-value
areas
Lüliang,
Taihang,
Taiyue
Mountains,
low-value
more
populous
southern
regions.
predicted
decline
by
2035
under
ND
CP
scenarios
exceed
that
EP
DP
scenarios.
scenario
projected
an
increase
4.93
t
2035.
realizes
maintains
security,
providing
theoretical
reference
for
achieving
neutrality
high-quality
sustainable
Shanxi
Province.
