How has carbon storage changed in the Yili-Tianshan region over the past three decades and into the future? What has driven it to change?
The Science of The Total Environment,
Год журнала:
2024,
Номер
945, С. 174005 - 174005
Опубликована: Июнь 16, 2024
Predicting
future
land
use
changes
and
assessing
carbon
storage
remain
challenging.
Nowadays,
how
nature
socioeconomics
drive
in
is
a
hot
topic
research.
In
this
study,
through
the
projection
of
type
integration
PLUS,
Integrated
Valuation
Ecosystem
Services
Trade-offs
(InVEST),
Geodetector
models,
we
constructed
framework
for
different
scenarios.
Utilizing
framework,
it
possible
to
project
change
estimate
based
on
development
We
applied
Yili
Tianshan
region
identified
main
driving
forces
change.
Further,
estimated
2035
under
four
scenarios
(RE,
NE,
EP,
CLP).
The
results
showed
following:
1)
Between
1990
2020,
there
was
an
increase
forest
area
water
bodies
Yili-Tianshan
region,
mainly
from
bare
land.
2)
As
shown
time
scale,
increases
with
W-shaped
fluctuation
by
converting
grasslands
into
forests.
On
spatial
lower
center
higher
both
sides
region.
3)
2035-
RE,
2035-ND,
2035-EP
scenarios,
increased
4.30
Tg,
6.67
12.08
Tg;
2035-CLP
scenario,
decreased
14.63
Tg.
experienced
notable
rise
scenario
compared
other
three
4)
Soil
played
significant
role
differentiation
(q
value
0.5958),
followed
population
density
(0.5394).
are
result
synergistic
effects
multiple
factors,
which
soil
type∩soil
erosion
intensity
most
important.
This
research
could
provide
reference
method
improving
regional
storage.
Язык: Английский
Land use/cover change and ecological network in Gansu Province, China during 2000–2020 and their simulations in 2050
Journal of Arid Land,
Год журнала:
2025,
Номер
17(1), С. 43 - 57
Опубликована: Янв. 1, 2025
Язык: Английский
Assessment of the impact of land use/land cover change on carbon storage in Chengdu, China, in the context of carbon peaking and carbon neutrality, 2000–2030
Environment Development and Sustainability,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 15, 2024
Язык: Английский
Predicting Land Use Changes under Shared Socioeconomic Pathway–Representative Concentration Pathway Scenarios to Support Sustainable Planning in High-Density Urban Areas: A Case Study of Hangzhou, Southeastern China
Buildings,
Год журнала:
2024,
Номер
14(7), С. 2165 - 2165
Опубликована: Июль 14, 2024
Amidst
the
challenges
posed
by
global
climate
change
and
accelerated
urbanization,
structure
distribution
of
land
use
are
shifting
dramatically,
exacerbating
ecological
land-use
conflicts,
particularly
in
China.
Effective
resource
management
requires
accurate
forecasts
cover
(LUCC).
However,
future
trajectory
LUCC,
influenced
remains
uncertain.
This
study
developed
an
integrated
multi-scenario
framework
combining
system
dynamics
patch-generating
simulation
models
to
predict
LUCC
high-density
urban
regions
under
various
Shared
Socioeconomic
Pathway
(SSP)–Representative
Concentration
(RCP)
scenarios.
The
results
showed
following:
(1)
From
2020
2050,
cultivated
land,
unused
water
projected
decrease,
while
construction
is
expected
increase.
(2)
Future
patterns
exhibit
significant
spatial
heterogeneity
across
three
Construction
will
expand
all
districts
Hangzhou,
main
areas.
Under
SSP585
scenario,
expansion
most
significant,
it
least
SSP126
scenario.
(3)
Distinct
factors
drive
different
types.
digital
elevation
model
predominant
factor
for
forest
grassland,
contributing
19.25%
30.76%,
respectively.
Night
light
contributes
at
13.94%
20.35%,
(4)
average
intensity
(LUI)
central
markedly
surpasses
that
surrounding
suburban
areas,
with
Xiacheng
having
highest
LUI
Chun’an
lowest.
area
increased
significantly
smaller
than
SSP245
These
findings
offer
valuable
guidance
sustainable
planning
built
environment
Hangzhou
similarly
situated
centers
worldwide.
Язык: Английский
Response of carbon storage to land use change and multi-scenario predictions in Zunyi, China
Yi Liu,
Xuemeng Mei,
Yue Li
и другие.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 2, 2025
Язык: Английский
How is carbon storage in plateau–plain transition zone influenced? Evidence from Minjiang River Basin, China
Journal of Cleaner Production,
Год журнала:
2025,
Номер
unknown, С. 144766 - 144766
Опубликована: Янв. 1, 2025
Язык: Английский
Spatial and temporal characteristics of vegetation carbon sequestration in Beijing and regional division strategies
Environment Development and Sustainability,
Год журнала:
2025,
Номер
unknown
Опубликована: Июнь 5, 2025
Язык: Английский
Exploring the Spatial-Temporal Patterns, Drivers, and Response Strategies of Desertification in the Mu Us Desert from Multiple Regional Perspectives
Sustainability,
Год журнала:
2024,
Номер
16(21), С. 9154 - 9154
Опубликована: Окт. 22, 2024
Desertification
poses
a
serious
threat
to
the
global
ecological
environment
and
challenges
achievement
of
an
civilization.
Understanding
spatial
temporal
evolution
desertification
in
Mu
Us
Desert,
key
area
northern
China,
is
crucial
for
predicting
regional
trends
analyzing
causes.
This
study
employs
quantitative
methods,
including
remote
sensing
data
from
Landsat
satellites
(2000–2020),
combined
with
multi-scale
analysis
statistical
models,
systematically
analyze
trends.
The
reveals
that
improved
significantly
after
2005
due
effective
human
intervention
governance
efforts.
In
particular,
eastern
regions
(Shaanxi
Province
Inner
Mongolia)
showed
marked
improvement,
while
western
exhibited
limited
change.
greatest
progress
was
seen
reduction
high-desertification
areas
moderate
levels.
Quantitatively,
activities
contributed
17.3%
(p
<
0.05),
meteorological
factors
were
responsible
45.8%
0.05).
Conversely,
Ningxia
worsened
by
41.8%
unsustainable
land
use.
Additionally,
correlation
highlighted
those
severe
became
more
uniformly
distributed
over
time.
drivers
influencing
agricultural
development,
urbanization,
climate
warming,
vegetation
coverage,
playing
substantial
role.
Initially,
had
strongest
desertification,
but
time,
population
growth,
rising
temperatures,
cover
(NDVI)
prominent.
These
findings
offer
scientific
support
control
Desert
provide
methodological
insights
other
severely
desertified
regions,
contributing
sustainable
development.
Язык: Английский
Response of carbon storage to land use change and Multi-Scenario predictions in Zunyi, China
Yi Liu,
Xuemeng Mei,
Yue Li
и другие.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 26, 2024
Abstract
Evaluating
and
predicting
how
carbon
storage
(CS)
responds
to
land
use
change
can
optimize
future
spatial
layouts
coordinate
the
relationship
between
ecosystem
services.
This
study
aimed
explore
spatiotemporal
evolution
of
CS
in
Zunyi
from
2000
2020,
investigate
driving
factors
CS,
predict
changes
under
multiple
scenarios
2030.
Woodland
(>
62%)
farmland
30%)
are
main
types
Zunyi.
The
included
decreases
(-0.92%)
grassland
(-0.76%)
an
increase
construction
(+
0.92%).
In
2000,
2010,
was
658.77×10^6
t,
661.44×10^6
658.35×10^6
respectively,
initially
increasing
then
decreasing.
Woodland,
conversions
water
were
primarily
responsible
for
loss.
NDVI
is
factor
influencing
pattern
(q
>
10%).
Furthermore,
impacts
human
footprint
index
population
density
increasing.
2030,
projected
decrease
NDS,
ECS
CDS
scenarios.
Under
ECS,
estimated
be
656.67×10^6
with
smallest
(-0.26%);
moreover,
this
scenario
effectively
alleviates
woodland.
Язык: Английский
Identification of Priority Supply Areas for Carbon Sinks Based on Ecosystem Service Flow: A Case Study for the Hexi Region in Northwestern China
Land,
Год журнала:
2024,
Номер
13(12), С. 2064 - 2064
Опубликована: Дек. 1, 2024
The
development
and
implementation
of
regional
protection
plans
for
ecosystem
carbon
storage
services
have
been
recognized
as
crucial
actions
mitigating
global
climate
change.
However,
the
supply
areas
sequestration
in
terms
service
flows
inland
regions
are
still
less
evaluated.
goal
this
study
is
to
identify
priority-ranked
sinks.
Here,
we
conducted
a
case
Hexi
Region
northwestern
China
proposed
framework
quantify
priority
sinks
from
perspective
flows.
Firstly,
quantified
demand
by
combining
models
(i.e.,
Carnegie–Ames–Stanford
Approach
model
soil
respiration
models)
with
socioeconomic
natural
factors.
Then,
introduced
breaking
point
formula
estimate
flow,
specifically
focusing
on
distance
or
range.
Finally,
determined
based
Zonation
model.
results
showed
that
significantly
higher
values
were
detected
Qilian
Mountains,
ranging
2.0
3.0
t
hm−2,
comparison
desert
oasis
areas,
where
ranged
0
0.01
hm−2.
urban
rural
settlements
within
area
characterized
emissions
compared
those
Mountains
deserts.
flow
analysis
demonstrated
middle
northern
parts
area,
being
lower
precipitation
sandy
landscapes,
identified
locations
low
fluxes
(<1.0
hm−2).
In
addition,
mountainous
main
highest
sequestration,
covering
8.33%
total
Region.
Our
findings
highlighted
importance
sustaining
targeted
ecological
practices
be
implemented
going
forward.
Язык: Английский