Coupling coordination analysis and spatiotemporal heterogeneity between urban land green use efficiency and ecosystem services in Yangtze River Economic Belt, China
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Окт. 3, 2024
Язык: Английский
Characteristics of Ecosystem Services in Megacities Within the Yellow River Basin, Analyzed Through a Resilience Perspective: A Case Study of Xi’an and Jinan
Sustainability,
Год журнала:
2025,
Номер
17(8), С. 3371 - 3371
Опубликована: Апрель 10, 2025
Megacities
in
developing
countries
are
still
undergoing
rapid
urbanization,
with
different
cities
exhibiting
ecosystem
services
(ESs)
heterogeneity.
Evaluating
ESs
among
various
and
analyzing
the
influencing
factors
from
a
resilience
perspective
can
effectively
enhance
ability
of
to
deal
react
quickly
risks
uncertainty.
This
approach
is
also
crucial
for
optimizing
ecological
security
patterns.
study
focuses
on
Xi’an
Jinan,
two
important
megacities
along
Yellow
River
China.
First,
we
quantified
four
both
cities:
carbon
storage
(CS),
habitat
quality
(HQ),
food
production
(FP),
soil
conservation
(SC).
Second,
analyzed
synergies
trade-offs
between
these
using
bivariate
local
spatial
autocorrelation
Spearman’s
rank
correlation
coefficient.
Finally,
conducted
driver
analysis
Geographic
Detector.
Results:
(1)
The
temporal
distribution
Jinan
quite
different,
but
show
lower
ES
levels
urban
core
area.
(2)
showed
strong
synergistic
effect.
Among
them,
CS-HQ
had
strongest
synergy
0.93.
In
terms
space,
north
dominated
by
low–low
clustering,
while
south
high–high
clustering.
FP-SC
trade-off
effect
−0.35
2000,
which
gradually
weakened
over
time
was
mainly
distributed
northern
area
city
where
cropland
construction
were
concentrated.
(3)
Edge
density,
patch
NDVI
have
greatest
influence
CS
Jinan.
DEM,
slope,
density
HQ.
Temperature,
edge
impact
temperature
FP
cities.
SC.
Landscape
fragmentation
has
great
CS,
HQ,
SC
Due
insufficient
research
data,
this
focused
only
middle
reaches
River.
However,
results
provide
new
solving
problem
regional
sustainable
development
directions
ideas
follow-up
field.
Язык: Английский
Modeling CO2 Emission Forecasting in Energy Consumption of the Industrial Building Sector under Sustainability Policy in Thailand: Enhancing the LISREL-LGM Model
Forecasting,
Год журнала:
2024,
Номер
6(3), С. 485 - 501
Опубликована: Июнь 24, 2024
This
research
aims
to
study
and
develop
a
model
demonstrate
the
causal
relationships
of
factors
used
forecast
CO2
emissions
from
energy
consumption
in
industrial
building
sector
make
predictions
for
next
10
years
(2024–2033).
aligns
with
Thailand’s
goals
sustainability
development,
as
outlined
green
economy
objectives.
The
employs
quantitative
approach,
utilizing
Linear
Structural
Relationships
based
on
Latent
Growth
Model
(LISREL-LGM
model)
which
is
valuable
tool
efficient
country
management
towards
predefined
objectives
by
2033.
findings
reveal
continuous
significant
growth
past
economic
(1990–2023),
leading
subsequent
social
sector.
Simultaneously,
this
has
had
detrimental
impact
environment,
primarily
attributed
Consequently,
indicates
that
maintaining
current
policies
would
result
exceeding
carrying
capacity.
Specifically,
rate
(2033/2024)
increase
28.59%,
resulting
surpassing
emission
70.73
Mt
Eq.
(2024–2033),
designated
capacity
60.5
Therefore,
proposes
strategies
achieve
sustainability,
suggesting
implementation
new
scenario
course
action
lead
reduction
(2024–2033)
58.27
Eq.,
demonstrating
decreasing
below
underscores
efficacy
appropriateness
LISREL-LGM
employed
guiding
decision
making
future.
Язык: Английский