Urban
green
spaces
play
a
critical
role
in
enhancing
environmental
sustainability,
climate
resilience,
and
the
well-being
of
urban
populations.
However,
fragmentation
Kuala
Lumpur
presents
significant
challenges
to
sustainable
planning
adaptation
efforts.
This
study
examines
policy
gaps
that
hinder
effective
integration
infrastructure
into
Lumpur’s
framework.
A
qualitative
document
analysis
is
conducted
assess
national
policies,
guidelines,
international
best
practices
related
resilience.
The
findings
reveal
while
Malaysia’s
policies
accentuate
provision
spaces,
they
lack
comprehensive
enforcement
mechanisms,
leading
inconsistencies
implementation.
Key
include
fragmentation,
decentralised
governance,
inadequate
financial
incentives,
absence
explicit
regulatory
frameworks
supporting
retrofitting.
By
analysing
models,
such
as
United
Kingdom’s
Green
Infrastructure
Standards
Singapore’s
Plan
2030,
this
identifies
strategies
could
enhance
concludes
systematic
retrofitting
framework
required
address
existing
ensure
strategic
development.
It
recommends
adopting
practices,
strengthening
enforcement,
fostering
cross-sectoral
collaboration
ecological
connectivity.
These
measures
are
essential
for
improving
sustainability
mitigating
adverse
effects
rapid
urbanisation
change
Lumpur.
Remote Sensing,
Год журнала:
2022,
Номер
14(17), С. 4185 - 4185
Опубликована: Авг. 25, 2022
The
continuous
extraction
of
mining
resources
has
led
to
the
destruction
landscape
space,
which
had
a
great
impact
on
human
living
environment
and
pristine
ecosystems.
Optimizing
ecological
spatial
networks
areas
can
restore
enhance
damaged
environment.
However,
there
are
few
cases
network
optimization
in
areas,
still
some
shortcomings.
Therefore,
this
study,
we
propose
an
theory
synergistic
enhancement
functions
carbon
sink
model
(SEEC)
for
urban
restoration
emphasizing
functional
nature
sources.
We
selected
typical
area
Xuzhou
City
as
study
area,
explored
changes
function
from
2000
2020,
2020
case,
adding
27
stepping
stones
72
corridors.
Through
comparison
robustness
before
after
optimization,
found
that
optimized
stronger
stability
ability.
This
provides
strategies
methods
projects
national
cities
also
references
lessons
other
future.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Год журнала:
2023,
Номер
16, С. 8721 - 8733
Опубликована: Янв. 1, 2023
Urbanization
as
a
human
activity
alters
the
surface
structure,
modifying
urban
ecological
environment.
In
this
study,
greenness,
wetness,
building
index,
and
heatness
of
Dalian,
coastal
city
in
northeast
China,
were
extracted
from
summer
MODIS
remote
sensing
data
2010
2022,
index
(RSEI)
was
created
based
on
spatial
principal
component
analysis.
The
artificial
impervious
fraction
(AISF)
Dalian
to
analyze
impact
expansion
environment
with
background
urbanization,
temporal
change
characteristics
2022
thoroughly
evaluated.
results
show
that:
(1)
Dalian's
RSEI
primarily
ranged
0.2
0.8.
During
2010-2022,
built-up
areas
decreased
0.2-0.4
0-0.2.
However,
approaching
1
have
increased
significantly
past
ten
years,
mainly
distributed
original
forest
land
or
northern
Dalian.
(2)
From
natural
showed
positive
development
which,
area
enhanced
quality
accounted
for
59.09%;
however,
proportion
greater
than
0.8
declined
76.64%
51.05%
rose
1.11%
11.85%,
demonstrating
that
urbanization
has
had
substantial
altered
use
structure.
(3)
AISF
center
found
exceed
70%
is
centered
south's
densely
area.
boundary
extending
surrounding
territory
an
ranging
20%–70%.
This
study
objectively
analyzed
geographical
features
environment,
well
offers
constructive
recommendations
design
population
distribution
optimization.
Ecological Processes,
Год журнала:
2024,
Номер
13(1)
Опубликована: Авг. 23, 2024
Abstract
Background
In
resource-based
cities,
long-term
irrational
exploitation
of
resources
has
caused
severe
damage
to
ecosystem
functions,
mainly
manifested
in
the
significant
decline
biodiversity,
land
degradation,
water
pollution,
and
deterioration
air
quality.
This
led
a
cities'
sustainable
development
capabilities.
Establishing
optimizing
an
ecological
spatial
network
(ESN)
can
promote
effective
transmission
material
energy
enhance
which
holds
fundamental
importance
ensuring
integrity
region
promoting
urban
development.
this
study,
by
combining
environment
with
landscape
determine
sources,
we
constructed
ESN
Shenmu
City,
mining
city,
based
on
minimum
cumulative
resistance
(MCR)
model,
conducted
correlation
analysis
between
topological
structure
significance
functions.
Then,
optimization
strategy
scheme
functions
was
proposed.
Finally,
robustness
used
effect
before
after
optimization.
Results
The
results
showed
that
high-value
service
areas
City
were
predominantly
located
central
western
parts,
highest
value
southeast.
There
strong
degree
feature
vector
nodes.
Conclusions
be
optimized
effectively
adding
stepping
stone
nodes
new
corridors.
Through
ESN,
found
more
robust
connectivity
stability
show
better
recovery
ability
function
damage.
research
presents
method
for
construction
area
provides
theoretical
basis
realizing
sustainability
economy,
regional
development,
protection
City.
Land,
Год журнала:
2024,
Номер
13(10), С. 1640 - 1640
Опубликована: Окт. 9, 2024
The
process
of
urbanization
leads
to
the
rapid
expansion
construction
land
and
brings
a
series
ecological
environmental
problems.
network,
as
linear
landscape
element,
is
great
significance
improve
quality
regional
environment.
In
this
study,
Morphological
Spatial
Pattern
Analysis
(MSPA)
model
Minimum
Cumulative
Resistance
(MCR)
were
used
construct
corridors
in
central
city
Fuzhou,
use
pattern
under
constraints
network
was
simulated
quantified
by
patch-level
simulation
(PLUS)
tool
with
results
identification
corridors.
Meanwhile,
help
InVEST
habitat
model,
different
development
scenarios
compared.
show
that
(1)
19
sources
35
identified;
(2)
corridors,
area
forested
study
2027
increased
1.57%
built-up
reduced
0.55%
compared
2022;
(3)
mean
value
Fuzhou
City
improved
0.0055
0.0254
2022
natural
evolution
scenarios,
respectively.
provides
decision-making
assistance
for
from
perspective
planning.
