Urban
greening
is
a
critical
strategy
for
sustainable
urban
development,
climate
change
mitigation,
and
biodiversity
conservation.
However,
the
effectiveness
of
varies
depending
on
specific
goals
(e.g.,
enhancing
biodiversity,
reducing
heat,
or
both)
their
spatial
implementation.
To
address
variability
in
greening,
we
propose
decision
support
model
based
non-dominated
sorting
genetic
algorithm-II
(NSGA-II).
This
aims
to
optimize
locations
maximize
biomass
density,
mitigate
heat
stress,
simultaneously
improve
landscape
connectivity.
Applied
Suwon
City,
South
Korea,
model's
was
evaluated
against
Business-As-Usual
(BAU)
scenario
across
four
scenarios:
Connectivity-based,
Biomass
density-based,
Heat
stress-based,
an
Integrated-based
scenario.
The
integrated
approach,
balancing
trade-offs
between
ecological
benefits
implementation
costs,
outperformed
BAU
by
8.84%.
outcome
indicated
significant
improvements
density
connectivity,
despite
highlighting
weaker
correlation
with
stress
mitigation.
Our
findings
underscore
necessity
planning
approach
as
it
can
contribute
toward
attainment
development
goals.
Additionally,
proposing
app-based
policymakers
utilize,
our
outputs
should
enable
reconciliation
multiple
environmental
objectives
landscapes.
Land,
Journal Year:
2024,
Volume and Issue:
13(2), P. 138 - 138
Published: Jan. 25, 2024
Forests
around
the
world,
vital
for
ecological,
economic,
and
social
functions,
are
facing
increasing
threats
such
as
deforestation
habitat
fragmentation.
This
study
introduces
“succolarity”
to
analyse
forest
connectivity
fragmentation
directionally
in
Romanian
Carpathians
from
2000
2021.
Besides
traditional
indices
fractal
index
(FFI),
disorder
(FFDI),
local
connected
dimension
(LCFD),
succolarity,
two
novel
proposed:
potential
succolarity
delta
(Δ)
which
provide
nuanced
insights
into
environmental
changes
human
interventions
forests
worldwide.
The
tests
showed
invariance
at
image
scale
sensitivity
obstacles
different
scenarios.
combined
analysis
of
reveals
dynamic
patterns
connectivity,
fragmentation,
spatial
disturbance.
directional
highlight
enhance
understanding
patterns.
FFI
FFDI
show
levels
across
mountain
groups,
while
LCFD
details
connectivity.
adaptability
method
makes
it
globally
applicable,
supporting
biodiversity
conservation
landscape
management.
In
conclusion,
integration
provides
a
robust
methodology
comprehensive
advancement
not
only
supports
sustainable
management
but
also
represents
versatile
approach
applicable
ecosystems
worldwide,
ensuring
long-term
resilience
forested
regions.
Remote Sensing Applications Society and Environment,
Journal Year:
2024,
Volume and Issue:
36, P. 101269 - 101269
Published: June 7, 2024
Mining
has
severe
environmental
and
social
impacts.
To
compensate
for
the
damage
caused
at
mining
sites,
companies
are
required
to
engage
in
biodiversity
offsetting
activities
elsewhere.
In
forest
landscapes,
most
policies
focus
on
compensating
loss
from
deforestation,
while
degradation
is
largely
ignored
–
even
though
it
contributes
substantially
loss.
One
reason
this
that
challenging
assess
monitor.
This
study
focuses
a
large
nickel
cobalt
mine
Madagascar.
By
analysing
remote
sensing
time
series,
we
detailed
annual
change
dynamics
distinguish
different
types
of
disturbance
within
around
lease
area
two
main
associated
offset
areas
between
2006
2020.
Our
results
show
deforestation
rates
low
(18
ha,
or
0.4%;
164
2.4%),
suggesting
conservation
measures
effective.
However,
not
case
when
looking
degradation.
We
found
substantial
shares
affected
by
(545
11.4%;
662
9.7%).
surrounding
unprotected
landscape,
(451
6.7%;
553
4.9%)
(2360
34.8%;
5794
51.1%)
much
higher.
The
spatiotemporal
pattern
indicates
spillover
effects
both
Taken
together,
our
findings
restrictions
local
communities'
access
resources
affect
landscape
can
cause
additional
adverse
impacts
there.
also
demonstrate
monitoring
feasible,
widespread
still
ignored.
These
should
be
considered
future
best
practices.
Scottish Geographical Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 20
Published: Jan. 1, 2025
Forest
degradation
poses
a
greater
ecological
threat
than
deforestation,
with
forest
fragmentation
being
key
concern.
Fragmentation
breaks
vast
tracts
into
smaller,
isolated
patches,
jeopardizing
biodiversity.
A
study
in
Haryana's
sub-Himalayan
region
analysed
using
satellite
data
from
Landsat-7
ETM+
(2001)
and
Landsat-8
OLI
(2021).
Geospatial
methods,
employing
tools
like
QGIS,
ArcGIS,
FRAGSTAT,
evaluated
landscape
metrics
dynamics.
Over
20
years,
area
significantly
declined,
particularly
large
core
regions.
Paradoxically,
while
the
largest
patch
index
mean
increased,
overall
decreased.
This
trend
reflects
loss
of
smaller
patches
to
non-forest
land
uses
rather
recovery,
resulting
more
uniform
sizes.
The
reveals
growing
posed
by
shrinking
areas
expanding
scrubland,
endangering
local
These
findings
emphasize
need
for
conservation
policies
addressing
land-use
transitions
protection.
By
integrating
land-cover
analysis,
research
sheds
light
on
complex
dynamics
fragmentation,
offering
valuable
insights
conservation.
Monitoring
the
spatial
and
temporal
dynamics
of
forest
restoration
is
essential
for
developing
effective
policies,
management
strategies,
assessing
ecosystem
resilience.
Remote
sensing
enables
rapid
detection
changes
continuous
monitoring
efforts.
However,
a
comprehensive
understanding
trends
patterns
in
still
lacking.
This
study
analyzes
expansion
using
Landsat
time
series
data
from
1986
to
2021,
applying
non-parametric
trend
test
multi-order
adjacency
index
(MAI).
The
results
indicate
following:
(1)
78.93%
NDMI
showed
significant
increases,
indicating
overall
recovery,
with
only
small
portion
remaining
stable
or
declining.
(2)
In
areas
number
change
pixels
grew
by
an
average
6.02%
annually.
After
2000,
abrupt
rose
sharply,
2013
was
year
most
changes.
Following
these
changes,
79.7%
forests
increase
trend,
that
karst
have
undergone
under
implementation
large-scale
ecological
engineering
direction
recovery.
(3)
MAI,
constructed
based
on
topological
relationships
between
old
new
patches,
can
accurately
describe
continuity
gradient
restoration.
edge
proximity
types
are
dominant
Huanjiang
Maonan
County,
accounting
69.2%
total
area.
effect
spread
type
obvious,
shifting
compact
along
existing
patches
more
fragmented,
dispersed
pattern
expansion.
provides
timely
valuable
insights
into
effectiveness
impact
regions
offers
optimize
strategies
sustainable
development
conservation.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Aug. 6, 2024
Objectives:
The
game
between
socio-economic
development
and
ecological
has
always
been
the
core
issue
in
coal
areas,
but
internal
mechanism
of
tradeoff
cooperative
dynamic
change
ecosystem
services
mining
areas
under
long-term
mineral
resources
is
still
lacking
in-depth
research.
Methods:
Therefore,
taking
Shendong
area
as
an
example,
this
study
used
InVEST
model
to
evaluate
changes
four
major
service
functions
from
1990
2020,
namely,
water
yield
(WY),
net
primary
productivity
(NPP),
soil
conservation
(SC)
habitat
quality
(HQ).
Meanwhile,
correlation
analysis
was
explore
trade-off
synergistic
relationship
among
these
services.
On
basis,
coupling
effect
further
discussed
by
using
constraint
line
method.
Finally,
key
drivers
trade-offs/synergies
region
are
explored
geodetectors
explanations
each
influence
factor
for
RMS
errors
obtained.
Results:
results
show
that
1)
retention
decrease
first
then
increase,
increase
slowly,
mainly
southeast
area.
2)
In
terms
relationship,
all
showed
hump-like
is,
there
obvious
threshold
effect.
3)
area,
dominant
services,
occurs
quality.
4)
driving
tradeoff/synergy,
land
use
type,
temperature,
rainfall
main
factors
cause
spatial
differentiation
synergy
intensity
Conclusions:
provide
a
scientific
basis
improvement
environment
sustainable
utilization
exploitation.
Land Degradation and Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 23, 2024
ABSTRACT
This
study
aimed
to
emphasize
the
key
role
of
spatial
morphology
planted
and
natural
forests
on
landscape
fragmentation
furnish
a
scientific
foundation
for
effective
assessment
ecological
restoration
projects
vegetation
Loess
Plateau.
The
morphological
pattern
characteristics
were
analyzed
using
analysis
(MSPA)
forest
area
density
methods.
is
inaugural
reveal
linear
nonlinear
relationships
between
its
driving
factors
machine
learning
methods
introducing
indicators
with
two
different
strategies.
results
showed
significant
differences
in
patterns
forests.
found
be
dominated
by
“Core”
terms
area,
while
“Branch”
was
more
prevalent
number.
Compared
forests,
fragmented.
introduction
MSPA
indicator
significantly
enhanced
explanatory
power
predictive
performance
model
despite
disparate
contribution
rates
highlights
importance
understanding
provides
new
combination
analytical
techniques
better
understand
complexity
ecosystems.
These
provide
insights
into
sustainable
management
Forest Ecosystems,
Journal Year:
2024,
Volume and Issue:
11, P. 100212 - 100212
Published: Jan. 1, 2024
Vegetation
resilience
(VR),
providing
an
objective
measure
of
ecosystem
health,
has
received
considerable
attention,
however,
there
is
still
limited
understanding
whether
the
dominant
factors
differ
across
different
climate
zones.
We
took
three
national
parks
(Hainan
Tropical
Rainforest
National
Park,
HTR;
Wuyishan
WYS;
and
Northeast
Tiger
Leopard
NTL)
China
with
less
human
interference
as
cases,
which
are
distributed
in
climatic
zones,
including
tropical,
subtropical
temperate
monsoon
climates,
respectively.
Then,
we
employed
probabilistic
decay
method
to
explore
spatio-temporal
changes
VR
their
natural
driving
patterns
using
Geographically
Weighted
Regression
(GWR)
model
well.
The
results
revealed
that:
(1)
from
2000
2020,
Normalized
Difference
Index
(NDVI)
fluctuated
between
0.800
0.960,
exhibiting
overall
upward
trend,
mean
NDVI
NTL
(0.923)
>
HTR
(0.899)
WYS
(0.823);
(2)
positive
trend
time
vegetation
exceeded
that
negative
indicating
gradual
recovery
since
2012;
(3)
HTR
was
primarily
influenced
by
elevation,
aspect,
average
annual
temperature
change
(AATC),
annual
precipitation
(AAPC);
WYS'
mainly
affected
(AAP),
AAPC;
while
terrain
(elevation
slope)
were
main
NTL;
(4)
among
influencing
changes,
AAPC
had
highest
proportion
(66.7%),
AAP
occupied
largest
area
WYS
(80.4%).
While
NTL,
elevation
served
factor
for
VR,
encompassing
64.2%
its
area.
Consequently,
our
findings
indicated
force
parks,
drove
NTL.
Our
research
promoted
a
deeper
mechanism
behind
VR.
Forests,
Journal Year:
2024,
Volume and Issue:
15(7), P. 1212 - 1212
Published: July 12, 2024
There
is
an
urgent
need
for
a
thorough
assessment
of
forest
landscape
fragmentation
to
inform
protection
and
restoration,
reforestation
policies.
However,
there
currently
lack
effective
comprehensive
index
fragmentation,
detailed
knowledge
the
dynamics
remains
insufficient.
Here,
taking
Putian
City
Fujian
Province
in
Southeastern
China
as
case,
we
employed
(FFCI)
capture
key
features
such
patch
size,
number,
distribution.
Then,
bivariate
spatial
autocorrelation
analysis
was
identify
associations
between
static
dynamic
(ΔFFCI),
coupling
modes
among
three
individual
components
FFCI
(mean
area,
MPA;
aggregation
index,
AI;
density,
PD)
were
identified
explore
detail
process
fragmentation.
Finally,
random
model
applied
observe
impact
factors
dynamics.
The
findings
showed
that
landscapes
with
different
degrees
exhibited
more
noticeable
changes
at
both
ends
(i.e.,
either
high
or
lower-level
fragmentation),
intermediate
level
remaining
consistent
from
2000
2020.
Around
18.3%
experienced
decrease
particularly
northern
part
study
while
approximately
81.7%
increasing
trend
indicated
proportion
Low–High-type
grids
highest
17.3%,
followed
by
High–High
type
7.0%.
We
also
eight
modes,
which
indicate
most
significant
pattern
MPA
increase
PD.
Moreover,
anthropogenic
(e.g.,
population
density
night
light
intensity)
found
dominate
during
2000–2020.
This
offers
efficient
research
paradigm
outcomes
are
conducive
in-depth
comprehension
information
supply
scientific
foundation
enhancing
overall
ecological
service
function
forest.
