Forests,
Год журнала:
2024,
Номер
15(7), С. 1263 - 1263
Опубликована: Июль 19, 2024
Vegetation
is
a
crucial
component
of
ecosystems,
and
understanding
the
drivers
spatial
optimization
patterns
its
ecological
quality
vital
for
environmental
management
in
middle
reaches
Yangtze
River
Urban
Agglomeration.
Traditional
evaluations
employing
single
indices
may
not
fully
capture
complexity
vegetation
elements
require
evaluation
through
various
indicators.
Therefore,
this
study
introduced
Multi
Criteria
Ecological
Quality
Index
(VEQI),
coupled
with
cover
function
indicators,
to
explore
driving
factors
identify
key
areas
where
declines
or
improves.
By
constructing
Bayesian
network
VEQI,
we
identified
variables
that
influence
index.
Additionally,
delineated
zones
VEQI.
The
results
indicate
VEQI
exhibits
trend
transitioning
from
low
values
urban
centers
high
suburban
rural
areas.
Over
20
years,
average
region
ranged
10.85%
94.94%.
Slope,
DEM,
type
were
as
significant
while
precipitation,
temperature,
nighttime
light
considered
secondary
factors.
Notably,
Hunan,
Jiangxi,
Hubei
provinces,
especially
western
part
pinpointed
regions.
This
research
only
enhances
vegetation’s
agglomeration
but
also
provides
scientific
insights
protection
vegetation.
Ecological Indicators,
Год журнала:
2024,
Номер
164, С. 112134 - 112134
Опубликована: Май 23, 2024
The
rapid
development
of
urban
agglomeration
harms
the
ecological
environment,
which
makes
research
its
correlation
mechanism
become
an
urgent
task
sustainability.
This
study
introduces
a
two-dimensional
Ecological
Quality
Green
Space
Index
(EQGS)
comprising
Landscape
Pattern
(LPI)
and
Remote
Sensing
(RSEI).
Utilizing
Coupling
Coordination
Degree
(CCD)
model,
it
examines
dynamics
between
Regional
Urban
Development
(RUDI)
EQGS
within
five
China's
agglomerations
2014
2022.
Additionally,
identifies
driving
factors
through
Geographically
Weighted
Regression
(GWR)
model.
findings
reveal
general
decline
in
CCD
RUDI
LPI,
except
Chengdu-Chongqing
(CCUA),
while
with
RSEI
has
seen
substantial
improvements,
exception
Northeast
(NEUA).
analysis
indicates
significant
variability
leading
indicators
spatial
intensity
influencing
coordination
degrees
across
different
agglomerations.
Key
like
landscape
dominance
Normalized
Difference
Vegetation
positively
affect
degrees.
Developing
green
corridors
to
mitigate
heat
islands
is
crucial
for
enhancing
NEUA's
efficiency,
particularly
northern
cities.
Conversely,
CCUA's
sustainable
hinges
on
improving
humidity.
These
insights
offer
tailored
planning
suggestions
policymakers
implement
scientific
strategies
space
development.
Remote Sensing,
Год журнала:
2024,
Номер
16(11), С. 1980 - 1980
Опубликована: Май 31, 2024
Human
activities
and
climate
change
have
profound
impacts
on
the
ecological
environment
of
oases
in
Xinjiang,
it
is
great
significance
to
explore
spatial
temporal
evolution
patterns
quality
this
region
for
sustainable
development
Xinjiang.
The
remote
sensing
index
(RSEI)
was
extracted
from
Google
Earth
Engine
(GEE)
platform
2000
2020,
coefficient
variation
Hurst
were
used
reveal
characteristics
stability
artificial
oasis
natural
key
factors
affecting
are
explored
through
correlation
analysis
geoprobes.
results
show
that
distribution
Xinjiang
high
north
low
south,
overall
shows
a
fluctuating
downward
trend
0.210
0.189.
Artificial
higher
RSEI
values,
stability,
sustainability
than
oases.
study
area
mainly
influenced
by
humidity,
followed
greenness
heat,
dryness
had
least
influence
model.
Based
geodetector,
top
three
highest
contributors
found
be
precipitation
(PRE)
(0.83)
>
relative
humidity
(RHU)
(0.82)
evapotranspiration
(ET)
(0.57).
Climate
main
factor
oases,
can
improved
increasing
proportion
aims
provide
scientific
basis
arid
zones.
Land,
Год журнала:
2024,
Номер
13(2), С. 127 - 127
Опубликована: Янв. 23, 2024
Clarifying
the
trade-offs/synergies
of
ecosystem
services
is
crucial
for
achieving
a
win-win
situation
in
economic
development
and
ecological
conservation.
Past
studies
have
lacked
research
on
service
functional
management
zones
that
integrate
socio-economic
factors
conservation,
particularly
based
predictive
scenarios.
Based
above,
this
study
innovatively
established
multi
scenario
simulation
model
framework
(EST-EMZ)
(ES)
trade-off/synergy
zoning,
combining
remote
sensing
data
from
2000
to
2020
Chang-Zhu-Tan
Metropolitan
Area
(CZTMA).
The
evaluates
dynamic
among
different
under
various
scenarios,
aiming
seek
optimal
approach
enhancing
functionality
optimizing
structure
ESs
future
CZTMA.
results
indicate
following:
(1)
From
2020,
Ecosystem
Service
Value
(ESV)
CZTMA
gradually
declined
601.57
billion
yuan
584.65
yuan.
Under
three
ESV
also
decreased,
with
Ecological
Conservation
Scenario
(ECS)
experiencing
most
minor
decline,
Economic
Priority
(EPS)
witnessing
substantial
decrease.
(2)
In
historical
period
2030
predicted
there
predominant
synergy
paired
Throughout
period,
region’s
dominant
bundle
(ESB)
high-service
regulation
bundle,
primarily
located
northeastern,
western,
southern
areas
dominated
by
forests.
(3)
urbanization
intensity
(UI),
five
were
identified:
water
balance
zone
(WBZ),
coordinated
improvement
(CIZ),
ecologically
weak
(EWZ),
conservation
(ECZ),
derivative
(EDZ).
Corresponding
protection
strategies
proposed.
findings
offer
potential
solutions
land
use
managing
trade-offs
metropolitan
areas.
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.
The
application
of
Nature-based
Solutions
(NbS)
measures
can
improve
the
ability
natural
resources
supply,
providing
material
basis
for
necessary
guarantees
sustainable
development.
However,
there
is
frequently
a
lack
scientific
decision-making
that
incorporates
local
and
social
needs
when
planning
NbS
measures.
In
response
to
different
types
provide
variety
resource
supply
remedies,
this
study
proposed
methodology
which
applied
Yangtze
River
Economic
Belt
(YREB)
in
China,
considering
four
major
five
elements,
are
assigned
steps
according
"where-what-how"
framework.
results
showed
indicative
sites
implementation
distributed
three
parallel
stripes
pattern
across
area,
among
them,
water
food
were
two
most
needed
covering
up
80%
area
area.
Combined
with
estimated
2030,
socio-climatic
development
pathways
lead
changes
prioritized
exported
by
sites.
Our
approach
be
used
plan
decisions
multiple
compensation
capacity
where
it
needed.
