County-Level Land Use Carbon Budget in the Yangtze River Economic Belt, China: Spatiotemporal Differentiation and Coordination Zoning
Land,
Journal Year:
2024,
Volume and Issue:
13(2), P. 215 - 215
Published: Feb. 9, 2024
The
local
land
use
carbon
budget
(LUCB)
balance
is
an
important
factor
in
achieving
regional
neutrality.
As
the
basic
unit
of
China’s
economic
development
and
social
governance,
county
level
part
realization
“double
carbon”
goal.
This
paper
focuses
on
1069
units
within
Yangtze
River
Economic
Belt
(YREB).
It
utilizes
data
use,
nighttime
light,
energy
consumption,
factors
to
construct
emission
models.
spatiotemporal
characteristics
LUCB
these
are
analyzed
using
standard
deviational
ellipse
(SDE)
spatial
autocorrelation
methods.
Additionally,
a
zoning
study
conducted
by
examining
contribution
coefficient
(ECC)
emissions,
ecological
support
(ESC),
their
coupling
relationship.
results
show
that
(1)
total
emissions
(LUCE)
increased
significantly
during
research
period,
sink
was
relatively
stable.
(2)
spatially
high
east
low
west,
with
center
gravity
moving
southwest
as
whole.
(3)
shows
positive
has
significant
agglomeration
characteristics,
which
mainly
high–high
low–low
types.
(4)
ECC
ESC
west
east,
coordination
degrees
two
low.
(5)
According
ESC,
divided
into
low-carbon
conservation
area,
comprehensive
optimization
area.
helpful
promoting
sustainable
neutrality
YREB.
Language: Английский
Spatiotemporal Coupling of New-Type Urbanization and Ecosystem Services in the Huaihe River Basin, China: Heterogeneity and Regulatory Strategy
Muyi Huang,
No information about this author
Qin Guo,
No information about this author
Guozhao Zhang
No information about this author
et al.
Land,
Journal Year:
2025,
Volume and Issue:
14(2), P. 286 - 286
Published: Jan. 30, 2025
Strengthening
the
exploration
of
synergistic
promotion
mechanisms
between
ecosystem
services
(ESs)
and
new
urbanization
is
great
significance
for
watershed
development.
In
this
work,
we
revealed
evolution
mechanism
coupling
coordination
development
degree
(CCD)
ESs
its
driving
factors
in
Huaihe
River
Basin
(HRB)
from
1980
to
2020
using
a
combination
CCD
model,
Exploratory
Spatial
Data
Analysis
(ESDA)
method,
GeoDetector
model.
Additionally,
employed
PLUS
model
investigate
multi-scenario
simulations.
The
results
demonstrate
that
showed
decline
initially,
followed
by
an
increase,
while
index
consistent
annual
growth
over
four
decades.
Furthermore,
yearly
optimization
trend.
demonstrated
notable
spatial
clustering
characteristics,
with
such
as
precipitation,
distance
water
body,
elevation,
per
area
GDP
emerged
primary
drivers.
Under
scenarios
ecological
protection,
comprehensive
development,
natural
value
2050
maintained
upward
trend;
however,
it
fell
decrease
under
scenario
cropland
protection.
These
research
findings
offer
valuable
decision-making
support
differentiated
regulation
functions
high-quality
HRB.
Language: Английский