Land,
Год журнала:
2024,
Номер
13(7), С. 996 - 996
Опубликована: Июль 5, 2024
Under
the
dual
carbon
goals,
relationship
between
land
production-living-ecological
function
and
emissions
points
to
a
new
direction
for
spatial
planning.
This
study
compiles
analyzes
coupling
coordination
degree
of
16
cities
in
Shandong
Peninsula
urban
agglomeration
years
2001,
2006,
2011,
2016,
2021.
Furthermore,
it
introduces
Tapio
decoupling
model
calculate
index
degree.
The
spatiotemporal
evolution
characteristics
coordination,
emissions,
were
analyzed.
results
indicate
that
(1)
from
2001
2021,
increased
overall,
with
an
obvious
“high
east
low
west”
feature
pattern.
That
is
caused
by
difference
resource
endowment
west
gap
process
urbanization,
industrial
structure
transformation,
ecological
governance.
(2)
During
period,
overall
increased,
significantly
reduced
growth
rate.
A
polarization
phenomenon
increase
decrease
trends
within
was
observed.
distribution
use
showed
significant
heterotropism.
(3)
From
mainly
exhibited
three
patterns:
strong
negative
decoupling,
expansion
maintaining
good
trend
overall.
These
coordinated
development
level
production,
living,
functions
area
has
improved
during
research
its
also
shown
positive
trend.
However,
there
still
problem
uneven
regional
development.
In
future,
should
adhere
pattern
“two
circles
four
regions”,
which
aims
promote
sharing
complementary
advantages
through
specific
divisions,
achieve
region.
involves
optimizing
function,
encouraging
innovation
green
industries,
deepening
environment
restoration
protection
realize
under
goal.
Ecological Informatics,
Год журнала:
2024,
Номер
81, С. 102567 - 102567
Опубликована: Март 20, 2024
Against
the
backdrop
of
global
warming,
carbon
emissions
have
become
a
major
concern.
Carbon
from
land
use
(CELU)
play
significant
role
in
shaping
efforts
to
reduce
and
achieve
neutrality.
Using
China
Land
Cover
Dataset
(CLCD)
alongside
socioeconomic
data,
we
conducted
comprehensive
CELU
calculations
for
Hubei
Province.
Our
approach
involves
integrating
Markov
time
transfer
matrix
delineate
spatiotemporal
evolution
characteristics
CELU,
employing
Tapio
elastic
adaptation
model
analyze
decoupling
economic
development,
leveraging
geographic
detectors
identify
primary
influencing
factors
their
interactions,
both
internally
externally.
Subsequently,
formulated
recommendations
low-carbon
development
response
our
findings.
The
key
results
are
as
follows.
(1)
Between
1995
2019,
total
Province
exhibited
consistent
increase,
characterized
by
an
initial
acceleration
growth
followed
gradual
slowdown.
(2)
During
same
period,
witnessed
multiple
types
decoupling,
with
weak
emerging
prevailing
trend.
(3)
explanatory
power
(q-values)
internal
external
ranged
0.179
0.935.
Moreover,
interaction
these
exceeded
0.5,
indicating
overall
effect.
This
study
presents
strategy
that
offers
robust
scientific
basis
government
policymakers
craft
emission
reduction
strategies.
Additionally,
it
serves
valuable
reference
fostering
long-term
high-quality
development.
Ecological Informatics,
Год журнала:
2024,
Номер
80, С. 102478 - 102478
Опубликована: Янв. 14, 2024
The
accurate
assessment
of
marine
fisheries'
carbon
emissions
(MFCE)
and
the
identification
spatial
temporal
variation
in
fisheries
eco-efficiency
(MFEE)
its
drivers
under
emission
reduction
constraint
can
facilitate
high-quality
development
achievement
'carbon
neutrality'
goal.
Current
assessments
MFEE
exclude
focus
on
single-factor
methodologies,
which
limit
their
utility
guiding
strategies.
In
this
study,
using
provincial
data
from
2008
to
2021,
we
constructed
a
model
undesired
output
efficiency
through
directional
distance
function
determine
potential
each
province.
global
Malmquist–Luenberger
(GML)
was
also
used
explore
trends
MFCE
China
influencing
growth.
Different
mechanisms
underlying
growth
three
major
economic
zones
were
investigated.
results
show
that
(1)
is
declining,
with
sources
showing
decline
sinks
rapid
year
2015
an
important
turning
point
for
fisheries.
(2)
level
differed
among
Chinese
coastal
provinces
cities
during
study
period,
circles
belonged
different
types
potential.
Under
constraint,
values
showed
fluctuating
upward
trend
significant
differences
rates
power
sources,
while
pure
technical
drove
optimal
eco-efficiency.
(3)
economy,
resource
use,
industrial
structure,
environmental
regulation,
science
technology
improve
MFEE,
whereas
degree
openness
outside
world
negatively
impacts
MFEE;
positive.
Ecological Indicators,
Год журнала:
2024,
Номер
160, С. 111817 - 111817
Опубликована: Март 1, 2024
Considering
"carbon
sources"
and
sinks",
this
study
is
aimed
at
exploring
the
direct
impacts
spatial
spillover
effects
of
urbanization
(UR),
ecological
construction
(EC)
their
interaction
on
land
use
carbon
emissions
(CE)
absorption
(CA).
This
investigation
contributes
to
resolving
dilemma
posed
by
need
balance
economic
development
preservation
in
context
energy
conservation
emission
reduction.
Additionally,
it
facilitating
achievement
dual
goals
promoting
green
sustainable
development.
To
accomplish
this,
focus
placed
279
Chinese
cities
during
period
from
2005
2020.
A
comprehensive
approach
that
combines
multisource
remote
sensing
imagery
socioeconomic
data
employed
construct
core
indicators.
The
Durbin
panel
model
then
utilized
analyze
effects,
heterogeneity.
findings
are
as
follows:
(1)
Both
CE
CA
China
exhibit
significant
clustering.
(2)
UR
has
a
effect
CE,
but
exhibits
an
inhibitory
spatially
correlated
regions.
(3)
restoration
intensity
(RESI)
level
environmental
regulation
(ER)
exacerbate
pollution
haven
effect,
leading
weakening
local
region
deterioration
environment
its
areas.
Interestingly,
RESI
positive
impact
CA,
while
ER
shows
substantial
negative
influence.
(4)
between
weakens
both
regions,
resulting
diffusion
effect.
However,
triggers
paradox
In
case
these
two
yield
distinct
outcomes
neighboring
It
worth
noting
heterogeneous
across
city
size,
type,
location.
Remote Sensing,
Год журнала:
2024,
Номер
16(4), С. 682 - 682
Опубликована: Фев. 14, 2024
As
a
region
susceptible
to
the
impacts
of
climate
change,
evaluating
temporal
and
spatial
variations
in
ecological
environment
quality
(EEQ)
potential
influencing
factors
is
crucial
for
ensuring
security
Tibetan
Plateau.
This
study
utilized
Google
Earth
Engine
(GEE)
platform
construct
Remote
Sensing-based
Ecological
Index
(RSEI)
examined
dynamics
Plateau’s
EEQ
from
2000
2022.
The
findings
revealed
that
RSEI
Plateau
predominantly
exhibited
slight
degradation
trend
2022,
with
multi-year
average
0.404.
Utilizing
SHAP
(Shapley
Additive
Explanation)
interpret
XGBoost
(eXtreme
Gradient
Boosting),
identified
natural
as
primary
influencers
on
Plateau,
temperature,
soil
moisture,
precipitation
variables
exhibiting
higher
values,
indicating
their
substantial
contributions.
interaction
between
temperature
showed
positive
effect
RSEI,
value
increasing
rising
precipitation.
methodology
results
this
could
provide
insights
comprehensive
understanding
monitoring
dynamic
evolution
amidst
context
change.
