The
absence
of
an
efficient
and
safe
routes
for
the
timely
collection
transportation
domestic
waste
(DW)
may
have
negative
effects
on
environment
public
health.
However,
existing
(CTR)
based
territorial
management
are
not
suitable
special
socio-ecological
system
agro-pastoral
ecotone
(APE).
Therefore,
it
is
crucial
to
develop
a
low-cost,
high-efficiency,
risk-free
CTR
mitigate
threat
DW
environmental
sustainability
in
APE
Tibetan
Plateau.
This
study
selected
Haidong
as
research
case
constructed
sustainable
optimization
framework
integrated
perspective
temporal,
spatial
eco-safety
risk.
We
used
improved
Ant
Colony
Optimization
(ACO)
simulate
optimal
spatial-temporal
routes,
risk
level
was
assessed
by
using
Minimum
Cumulative
Resistance
model
(MCR).
Results
demonstrated
that:
(1)
After
optimized,
total
mileage
economic
cost
savings
were
reduced
45.88%
8.37%
respectively,
frequency
decreased
38.07%.
Optimized
more
effective
can
better
adapt
dispersed
pollution-producing
characteristics
residents
APE.
(2)
There
7.04
%
at
high
eco-safety,
which
required
strengthening
enhance
control
along
while
improving
safety
seal
trucks.
(3)
cores
adaptive
change
from
current
single-county
administrative
organization
cross-county
organization;
adjust
cycle
characteristics;
sort
locally;
cultivate
awareness
among
farmers
herdsmen.
designed
quantified
new
improve
ecotone.
Ecological Indicators,
Год журнала:
2023,
Номер
155, С. 111004 - 111004
Опубликована: Сен. 30, 2023
Urbanization,
driven
by
rapid
economic
growth,
has
resulted
in
dramatic
land
use/cover
change
(LUCC),
posing
substantial
risks
to
urban
ecological
security.
While
constructing
networks
is
a
productive
strategy
for
achieving
balance
between
protection
and
urbanization,
the
limited
research
conducted
on
impacts
of
LUCC
spatial
patterns
during
urbanization
poses
hindrance
scientific
construction
networks.
Therefore,
this
study
focuses
Jinan
City,
an
important
city
situated
downstream
region
Yellow
River
Basin,
China.
The
utilized
simulation
approaches,
including
MSPA,
MCR,
InVEST
model
gravity
model,
investigate
analyze
City
from
2000
2020.
A
set
capturing
changes
network
elements
was
proposed
explore
evolutionary
characteristics
pattern
Finally,
Geodetector
impact
mechanism
findings
indicate
that:
(1)
During
last
two
decades,
development
witnessed
expansion
approximately
588.83
km2,
proportion
also
increased,
but
overall
structure
distribution
are
not
balanced.
(2)
Despite
areas,
escalation
resistance
significant
degradation
functional
capacity
corridors,
with
decrease
8.37
%
number
primary
corridors.
reduced
connectivity
impeded
efficient
cycling
processes
ecosystems.
(3)
complex
interactions
cumulative
effects
led
evolution
transformation
cropland
into
improved
composition
network,
while
encroachment
disorderly
internal
types
principal
factors
causing
elements.
(4)
influenced
coupling
policies.
However,
there
need
government
strengthen
policy
coordination
optimize
layout
better
manage
conserve
This
holds
potential
offer
valuable
insights
references
guiding
planning,
protection,
formulation
sustainable
policies
throughout
process.
Land,
Год журнала:
2023,
Номер
12(7), С. 1341 - 1341
Опубликована: Июль 4, 2023
Important
for
promoting
the
integrated
protection
and
systematic
management
of
mountains,
rivers,
forests,
farmlands,
lakes,
grasslands,
sandy
areas,
ecological
networks
form
backbone
regional
security
pattern.
An
improved
morphological
spatial
pattern
analysis
coupled
with
a
minimum
cumulative
resistance
model
(MSPA–MCR)
based
on
multi-source
data
was
used
to
study,
provincial
scale,
Ningxia,
an
ecologically
fragile
region
in
upper
reaches
Yellow
River
China.
The
results
show
following:
(1)
A
reasonable
classification
sources
corridors
is
key
constructing
hierarchical
networks.
Classifying
by
replacing
patch
areas
energy
factors
identifying
importance
modifying
gravity
proposed
this
paper
could
improve
rationality
structure
division
(2)
Grassland
as
substrate
vegetation
type
important
source
arid
semi-arid
forests
lake
wetlands
are
main
types
mountainous
oasis
respectively.
study
area
located
arid–semi-arid
transitional
area,
variety
types,
such
mountain,
oasis,
desert.
Therefore,
complex
forest–grassland–wetland
appear
some
areas.
(3)
There
45
groups
that
can
be
classified
including
10
primary
groups.
number
small,
their
distribution
unbalanced.
two
categories
corridors,
river
corridor
mountain
corridor,
network
connectivity
poor.
(4)
Ningxia
presented
consisting
one
belt,
three
screens,
five
clusters,
forming
nested
system.
Sustainability,
Год журнала:
2025,
Номер
17(8), С. 3623 - 3623
Опубликована: Апрель 17, 2025
Rapid
urbanization
has
greatly
altered
urban
ecological
spaces
and
habitat
quality
functions,
threatening
regional
biodiversity
the
sustainability
of
landscapes.
Therefore,
constructing
a
comprehensive
network
safety
patterns
is
crucial
for
ecosystem
management
development.
However,
simple
quantification
networks
fails
to
meet
construction
needs
patterns,
most
studies
focus
solely
on
analysis,
thus
overlooking
importance
spatial
analysis.
This
study
proposes
method
assessment
combined
with
hotspot
analysis
coupled
standard
deviational
ellipse
which
not
only
satisfies
quantitative
but
also
adds
methods,
facilitating
more
patterns.
Firstly,
through
morphological
pattern
(MSPA)
landscape
connectivity
indices,
source
areas
in
main
area
Kunming
were
identified,
integrating
various
resistance
factors
corrective
construct
an
surface.
The
minimum
cumulative
(MCR)
model
was
used
identify
potential
corridors,
their
evaluated
using
gravity
model,
establishing
network.
Secondly,
based
structure
assessed
optimized.
On
this
basis,
constructed.
results
show
following:
core
region
2402.28
km2,
accounting
52.07%
total
area;
there
are
13
areas,
totaling
2102.89
45.58%
178
including
15
level-one
corridors
19
level-two
corridors;
103
nodes,
70
“stepping
stones”,
48
breakpoints
identified.
In
terms
optimization,
six
new
added,
covering
16.22
increased
324,
11
level
two
51
24
major
breakpoints.
After
closure
index
(α),
(β),
rate
(γ)
improved
by
15.16%,
24.56%,
17.79%,
respectively.
Based
ellipse’s
“one
axis,
belts,
five
zones”
