Sustainability,
Journal Year:
2023,
Volume and Issue:
15(9), P. 7540 - 7540
Published: May 4, 2023
Coordination
between
ecological
security
and
economic
development
is
crucial
to
sustainable
development,
with
a
strategy
that
should
be
adjusted
according
the
type
of
region.
Yunnan
Province,
China,
treasure
trove
biodiversity
but
economically
lagging.
Clarifying
relationship
can
provide
reference
for
similar
hotspots
in
world.
The
landscape
index
method
evaluation
were
used
calculate
safety
(ESI)
(EDI),
respectively,
median
value
indices
was
comprehensive
zoning.
coupled
coordination
degree
model
(CCDM)
assess
status
each
zone.
results
show
(1)
Yunnan’s
pattern
high
west
low
east,
mainly
influenced
by
topography,
climate,
human
activities;
its
resource-dependent
shows
multi-point
dispersed
due
poor
transportation;
(2)
partitioned
into
Coordinated
Development
Zone
(CDZ),
Ecological
Risk
(ERZ),
Economic
Poverty
(EPZ),
Dual
Pressure
(DPZ).
Among
them,
CDZs
(15%)
are
mostly
areas
outstanding
advantageous
resources,
mature
characteristic
industries,
relatively
spatially
dispersed.
There
two
types
ERZs
(35%):
one
an
area
where
intensity
activities
exceeds
carrying
capacity,
located
eastern
plateau;
other
fragile
background
conditions,
mountains
river
valleys.
EPZs
(35%)
lagging
socioeconomics
DPZ
environment
constrains
form
negative
cycle.
(3)
Of
regional
levels
76%
moderately
coordinated,
there
still
space
from
high-quality
level.
order
average
partition
CDZ
>
ERZ
EPZ
DPZ.
basis
single
approach
have
led
often
being
more
difficult
achieve
large
mountainous
Yunnan.
(4)
Due
necessity
protection,
Province
choose
path
priority
green
development.
Specifically,
play
industrial
advantages
brand
effects,
promote
integration
innovative
paths.
keys
restructuring,
ecologization,
restoration
protection.
improve
transportation
infrastructure
revitalize
under
premise
priority.
Finally,
emphasize
load
reduction,
moderate
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
146, P. 109871 - 109871
Published: Jan. 10, 2023
"Taking
the
county
as
an
important
carrier
to
promote
urbanization"
has
been
identified
China's
most
significant
strategic
planning
for
urban
development.
Exploring
level
of
coordination
among
both
water-related
ecosystem
services
(WES)
and
urbanization
analyzing
their
social
ecological
drivers
at
county-level
can
benefit
in
tackling
various
environmental
challenges
that
arise
a
result
urbanization.
This
research
examined
spatial
temporal
variation
WES
(i.e.,
water
provision,
soil
conservation,
purification
services)
Yangtze
River
Economic
Belt
(YREB)
from
2000
2018
through
Integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST)
model,
quantitative
assessment
terms
population,
economy,
area
increase.
Then,
coupling
degree
(CCD)
model
was
then
used
assess
extent
coordinated
growth
Finally,
GeoDetector
regionally
weighted
regression
were
investigate
influence
multiple
factors
on
CCD
The
findings
indicate
that:
1)
Each
unit
YREB
had
significantly
higher
2018,
with
hotspots
located
primarily
Shanghai,
Jiangsu,
Zhejiang
vicinity
Wuhan
Chengdu.
2)
varied
considerably
between
years,
but
exhibited
upward
tendency.
3)
eastern
portion
is
than
western
portion.
increasing
overall
low.
4)
Land
use
intensity,
nighttime
light
NDVI
primary
determinants
urbanization,
considerable
heterogeneity
driving
forces
locations.
To
improve
differentiated
development
schemes
protection
measures
proposed
based
findings.
Land,
Journal Year:
2025,
Volume and Issue:
14(1), P. 65 - 65
Published: Jan. 1, 2025
Against
the
backdrop
of
rapid
urbanization,
associated
environmental
problems,
including
low
resource
consumption,
severe
pollution
emissions,
and
awareness,
have
become
salient.
The
key
to
achieving
sustainable
development
in
Ya’an
lies
accelerating
new
urbanization
while
ensuring
preservation
existing
ecological
advantages.
Firstly,
this
study
constructs
evaluation
index
systems
for
environment
using
Population–Economic–Spatial–Social
(PESS)
Pressure–State–Response
(PSR)
models,
respectively.
Then,
entropy
weight
model
is
used
calculate
weights
each
secondary
indicator
systems.
coupling
coordination
degree
(CCD)
relative
(RDD)
models
are
applied
analyze
spatial
temporal
changes
from
2011
2021.
Finally,
autocorrelation
geographically
weighted
regression
(GWR)
combined
factors
influencing
differences
among
Ya’an’s
districts
counties.
results
indicate
following:
(1)
From
2021,
CCD
shifted
basically
balanced
highly
balanced,
RDD
lag
systematic
balanced.
(2)
varies
significantly
regions,
differentiation
effects
different
has
characteristics.
