Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
147, P. 109958 - 109958
Published: Feb. 3, 2023
To
better
understand
the
phased
changes,
development
direction
and
planning
challenges
of
urban
green
space
(UGS)
in
response
to
urbanization
process
changing
goals,
this
study
examines
spatiotemporal
variations,
landscape
patterns
driving
forces
UGSs
Changchun
from
1990
2020.
The
results
indicate
that
evolution
may
be
largely
categorized
into
three
stages,
considerable
decline,
balance
between
increase
decrease,
surge
increase,
accompanied
by
obvious
changes
landscape.
Several
factors
have
contributed
these
including
natural,
greening
policies.
Early
resulted
encroachment
fragmentation
a
amount
UGS;
however,
as
building
priorities
changed,
UGS
has
increasingly
gained
attention.
In
third
decade
research
period,
greatly
expanded,
demonstrating
some
achievements
construction
under
background
ecological
civilization.
Knowledge
dynamics
provides
reference
for
planning,
which
also
helps
cities
respond
call
land
"ecological
use,
security
development"
during
China
similar
countries.
Land,
Journal Year:
2023,
Volume and Issue:
12(4), P. 744 - 744
Published: March 25, 2023
A
goal
of
land
change
modelers
should
be
to
communicate
scenarios
future
that
show
the
variety
possible
landscapes
based
on
consequences
management
decisions.
This
study
employs
Markov-FLUS
model
simulate
land-use
changes
in
Hubei
Province
multiple
consider
social,
economic,
and
ecological
policies
using
18
driving
factors,
including
point-of-interest
data.
First,
was
developed
validated
with
historical
data
from
2000
2020.
The
then
used
2020
2035
four
scenarios:
natural
development,
economic
priority,
protection,
cultivated
protection.
results
effectively
simulates
pattern
Province,
an
overall
accuracy
0.93
for
use
simulation
Kappa
coefficient
FOM
index
also
achieved
0.86
0.139,
respectively.
In
all
scenarios,
remained
primary
type
2035,
while
construction
showed
increasing
trend.
However,
there
were
large
differences
simulated
patterns
different
scenarios.
Construction
expanded
most
rapidly
priority
scenario,
it
more
slowly
protection
scenario.
We
designed
scenario
restrict
rapid
expansion
land.
development
encroached
forests.
contrast,
forests
water
areas
well-preserved,
decrease
increase
suppressed,
resulting
a
improvement
sustainability.
Finally,
spread
curbed.
conclusion,
applied
this
has
substantial
implications
effective
utilization
resources
environment
Province.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111823 - 111823
Published: March 1, 2024
Exploring
the
spatiotemporal
impacts
of
climate
change
and
human
activities
on
freshwater
resources
through
concepts
blue
green
water
can
effectively
improve
sustainability
basin
resource
management.
However,
previous
relevant
studies
have
not
considered
specific
different
models
land
use
changes
future
simultaneously.
To
mitigate
this
issue,
study
proposes
a
hydrological
modeling
framework
by
integrating
geographic
detectors,
Future
Land
Use
Simulation
(FLUS)
models,
Soil
Water
Assessment
Tool
(SWAT)
model.
This
was
capable
identifying
major
driving
factors
changes,
predicting
patterns,
assessing
characteristics
under
scenarios
distributions.
Applying
to
Wei
River
Basin
(WRB)
in
northwest
China,
it
identified
primary
drivers
WRB
quantitatively
analyzed
four
scenarios.
The
results
show
that:
1)
FLUS
model
SWAT
simulate
runoff
process
with
high
simulation
accuracy;
2)
Precipitation,
temperature
GDP
are
main
change;
3)
amount
middle
lower
reaches
is
significantly
higher
than
that
tributaries
upper
reaches.
Blue
flow
more
affected
use,
while
storage
sensitive
change.
provide
effective
information
for
planning
rational
allocation
resources.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110745 - 110745
Published: Aug. 1, 2023
Coupling
land
use
and
climate
change
under
shared
socioeconomic
pathway
representative
concentration
(SSP–RCP)
scenarios
can
provide
more
accurate
predictions
of
water
supply
risks,
thereby
supporting
decision-making
for
spatial
planning
with
a
focus
on
adaptation.
Climate
exhibits
temporal
differences.
To
meet
the
requirements
planning,
further
research
is
needed
to
assess
risks
at
different
basin
or
regional
scales.
In
this
study,
we
selected
four
SSP–RCP
analysis,
considering
scale
planning.
The
modeling
capabilities
five
global
models
(GCMs)
multi-model
ensemble
(MME)
were
evaluated
using
Taylor
diagram,
which
assesses
performance
element
simulations.
framework
that
consisted
system
dynamics
(SD),
patch-generating
land-use
simulations
(PLUS),
Soil
Water
Assessment
Tool
(SWAT)
was
employed
analyze
synergistic
changes
in
climate,
use,
supply.
Ganjiang
River
Basin
(GRB)
serves
as
case
study
climate-adaptive
scale,
given
its
characteristics
high
agricultural
demand
vulnerability
droughts
floods.
aims
support
such
our
projections,
precipitation
GRB
showed
slightly
increasing
trend
from
2021
2050.
Monthly
increases
during
flood
season
August
decreases
dry
October
December.
maximum
minimum
temperatures
an
both
yearly
monthly
scales,
higher
fall
winter.
During
phase,
quantities
SSP126
SSP245
similar
variations.
SSP370
experienced
most
significant
reduction
farmland,
while
SSP585
displayed
scattered
punctuated
layout
construction
land.
annual
decreasing
2035
2036–2050,
largest
found
SSP370.
variation
complex.
There
consistent
season,
whereas
Seasonal
variations
are
major
security
concern
basin's
future.
It
necessary
strengthen
northern
region
enhance
ability
adapt
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
364, P. 121477 - 121477
Published: June 14, 2024
The
rapid
expansion
of
cities
in
developing
countries
has
led
to
many
environmental
problems,
and
the
mechanism
urban
(UE),
as
a
more
complex
human-land
coupled
system,
always
been
difficult
issue
research.
This
paper
introduces
new
approach
by
establishing
an
analytical
framework
for
spatiotemporal
pattern
mining,
exemplified
studying
growth
Changsha
City
from
1990
2019.
Initially,
emerging
hotspot
analysis
model
(EHA)
is
employed
examine
changes
on
macro
scale.
Mathematical
models
are
subsequently
utilized
quantify
correlations
between
selected
infrastructural
topographical
factors.
Building
these
findings,
constructs
mathematical
further
evolution
various
sprawl
patterns
across
different
regions,
aiming
elucidate
significant
variations
UE
over
time
space.
study
reveals
that,
city,
Changsha's
hotspots
prior
2003
were
primarily
concentrated
city
centre,
spreading
periphery.
radial
influence
metro
stations
notably
less
than
that
railway
stations-approximately
3
km
versus
8
km-and
impact
diminishes
rapidly
before
gradually
tapering
off.
Moreover,
predominantly
occurs
slopes
with
gradients
ranging
1.1°
7.5°,
development
capacity
observed
at
elevations
36.1
m
78.3
above
sea
level,
tendency
migrate
lower
elevations.
also
identifies
three
distinct
regions:
initial
slow-growth
phase,
followed
escalation
peak,
swift
decline
near
stagnation.
Additionally,
it
highlights
correlation
proportion
built-up
areas
micro-regional
scale
stages
UE.
was
quantitatively
analysed
constructing
logistic
function,
which
demonstrated
robust
fit
effectively
captures
heterogeneity
dynamics
These
insights
enhance
selection
drivers
simulation
deepen
understanding
development.
