Sustainability,
Год журнала:
2024,
Номер
16(13), С. 5481 - 5481
Опубликована: Июнь 27, 2024
Changes
to
land
use
carbon
emissions
(LUCEs)
have
become
significant
contributors
increasingly
severe
climate
issues.
Land
change
is
one
of
the
crucial
factors
that
affect
emissions.
Alpine
meadows
regions
are
sensitive
and
human
activities.
However,
current
research
on
LUCEs
mainly
focuses
analyzing
present
status
spatial
patterns.
To
reveal
forecast
future
in
alpine
region,
Upper
Yellow
River
Gannan
(UYRG)
was
used
as
a
case
study.
Based
data
from
1990
2020,
we
multi-scenario
PLUS
model
predict
types
2030
analyzed
temporal
dynamic
trends
2030.
The
results
showed
strong
correlation
between
predicted
actual
types,
with
Kappa
value
0.93,
indicating
applicability
predicting
UYRG.
Over
study
period,
construction
expanded,
while
woodland
grassland
diminished.
Carbon
(CEs)
increased
by
516.4%
−200,541.43
Mg
CO2e
835,054.08
being
main
contributor.
In
Natural
Development
scenario
for
2030,
expanded
most
rapidly,
resulting
highest
LUCEs.
Ecological
Protection
scenario,
decreased,
leading
an
expansion
sinks.
Cropland
cropland
CEs
falling
other
two
scenarios.
These
findings
lay
theoretical
groundwork
formulating
policies
addressing
meadows,
providing
valuable
insights
further
studies.
Land,
Год журнала:
2025,
Номер
14(4), С. 753 - 753
Опубликована: Апрель 1, 2025
Land
use
supports
production
and
living
activities
provides
ecosystem
services
for
people.
With
the
flow
of
capital,
goods,
among
regions,
trade
leads
to
transfer
carbon
emissions
from
importing
regions
exporting
this
is
telecoupled
with
land
systems
in
different
regions.
Although
significant
progress
has
been
made
quantifying
embodied
induced
by
interprovincial
international
trade,
telecoupling
relationship
between
not
sufficiently
investigated.
Here
we
followed
theoretical
framework
used
multi-region
input–output
(MRIO)
model
examine
spatial
pattern
China
due
trade.
The
results
show
that
patterns
end
consumption
are
based
on
type.
provinces
rich
energy
resources
favorable
conditions
such
as
Inner
Mongolia,
Xinjiang,
Heilongjiang
undertake
agricultural
industrial
other
provinces.
In
contrast,
large
economies
but
scarce
Zhejiang
Guangdong
export
larger
portions
their
Across
China,
developed
generally
exported
more
than
they
developing
was
prominent
eastern
western
were
transferred
southern
northern
areas.
Our
research
reveals
types,
these
findings
could
provide
detailed
information
policy-making
processes
achieve
fair
sustainable
use.
Land,
Год журнала:
2025,
Номер
14(4), С. 795 - 795
Опубликована: Апрель 7, 2025
Air
pollution
is
a
major
trigger
for
chronic
respiratory
and
circulatory
diseases.
As
key
component
of
air
pollution,
fine
particulate
matter
(PM2.5)
exposure
largely
determined
by
land
use
type
population
density.
However,
simultaneous
consideration
their
spatiotemporal
distribution
lacking
in
existing
studies
on
PM2.5
exposure.
In
this
paper,
we
first
assess
the
dynamic
evolution
patterns
Gansu
Province,
China,
from
2000
to
2020,
using
transfer
matrix
degree.
Population-weighted
(PWE)
then
evaluated
each
at
provincial,
city,
county
levels,
with
seasonal
variations
analyzed.
Spatial
autocorrelation
analysis
finally
performed
explore
exposure,
whereas
standard
deviation
ellipses
gravity
center
migration
models
highlight
spatial
characteristics
shifting
trends.
Experimental
results
showed
that
2010
was
turning
point
annual
provincial
level
an
initial
increase
followed
decrease.
Construction
had
highest
forest
lowest
(except
2005).
Exposure
levels
pattern:
higher
winter
spring
lower
summer
autumn.
At
city
southern
indicated
continuous
decline
across
all
types
since
2000.
exhibited
strong
positive
correlation,
fluctuating
convergence.
This
study
comprehensively
analyzes
multi-scale
differences
various
types,
contributing
provide
scientific
evidence
decision-making
support
mitigating
enhancing
coordinated
control
administrative
levels.
Heliyon,
Год журнала:
2024,
Номер
10(10), С. e31456 - e31456
Опубликована: Май 1, 2024
The
complex
global
context,
including
globalization,
rapid
urbanization,
and
climate
change,
poses
significant
challenges
to
urban
stability
development.
Balancing
land
use
efficiency
resilience
is
crucial
for
sustainable
progress.
Focusing
on
the
vulnerable
Yellow
River
Basin
(YRB),
this
study
examines
interplay
between
efficiency.
Panel
data
from
2013
2020
54
cities
in
YRB
were
used,
it
quantifies
Coupling
Coordination
Degree
of
Urban
Resilience
Land
Use
Efficiency
(CCDUU),
explores
its
spatiotemporal
evolution
influencing
factors.
Key
findings
include:
CCDUU
exhibits
a
sustained
discernible
growth
trend.
Notably,
higher
downstream
areas
comparison
middle
reaches,
reaching
lowest
point
upstream
areas;
however,
increase
surpasses
that
observed
other
regions.
Concurrently,
regional
disparities
are
diminishing.
Despite
presence
notable
positive
spatial
correlation
within
YRB,
strength
association
not
sufficiently
robust.
Of
paramount
importance
factor
role
innovation,
which
significantly
influences
enhancement
CCDUU.
Following
closely
degree
openness,
whereas
effects
government
support
population
density
concentrated
predominantly
upper
region.
In
contrast,
urban-rural
disparity
exerts
an
adverse
impact
most
Policy
recommendations
enhancing
include
strengthening
planning
control,
particularly
regions,
achieve
efficient
resource
utilization
environmental
protection.
Implementing
management
policies,
encouraging
rational
movement,
promoting
migration
can
alleviate
pressure
cities.
Enhancing
attracting
foreign
investment,
innovation
industrial
upgrading
will
drive
economic
structural
upgrades
improve
Sustainability,
Год журнала:
2024,
Номер
16(10), С. 4104 - 4104
Опубликована: Май 14, 2024
Land
use,
as
one
of
the
major
sources
carbon
emissions,
has
profound
implications
for
global
climate
change.
County-level
land-use
systems
play
a
critical
role
in
national
emission
management
and
control.
Consequently,
it
is
essential
to
explore
spatiotemporal
effects
optimization
strategies
emissions
at
county
scale
promote
achievement
regional
dual
targets.
This
study,
focusing
on
Shaanxi
Province,
analyzed
characteristics
land
use
from
2000
2020.
By
establishing
evaluation
model,
county-level
were
clarified.
Utilizing
Geodetector
K-means
clustering
methods,
driving
mechanisms
elucidated,
explored.
The
results
showed
that
during
2000–2020,
Province
underwent
significant
changes,
with
constructed
increasing
by
97.62%,
while
cultivated
grassland
substantially
reduced.
overall
exhibited
pattern
North
>
Central
South.
total
within
province
increased
nearly
fourfold
over
20
years,
reaching
1.00
×
108
tons.
Constructed
was
primary
source
forest
contributed
significantly
sink
study
area.
Interactions
among
factors
had
impacts
spatial
differentiation
emissions.
For
counties
different
types
differentiated
recommended.
Low-carbon
should
intensify
ecological
protection
rational
utilization,
medium-carbon
need
strike
balance
between
economic
development
environmental
protection,
high-carbon
prioritize
reduction
structural
transformation.
