Using a Light Gradient-Boosting Machine–Shapley Additive Explanations Model to Evaluate the Correlation Between Urban Blue–Green Space Landscape Spatial Patterns and Carbon Sequestration
Yuting Wu,
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Mengya Luo,
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Shaogang Ding
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et al.
Land,
Journal Year:
2024,
Volume and Issue:
13(11), P. 1965 - 1965
Published: Nov. 20, 2024
Global
ecosystems
are
facing
challenges
posed
by
warming
and
excessive
carbon
emissions.
Urban
areas
significantly
contribute
to
emissions,
highlighting
the
urgent
need
improve
their
ability
sequester
carbon.
While
prior
studies
have
primarily
examined
sequestration
benefits
of
single
green
or
blue
spaces,
combined
impact
urban
blue–green
spaces
(UBGSs)
on
remains
underexplored.
Meanwhile,
rise
machine
learning
provides
new
possibilities
for
assessing
this
nonlinear
relationship.
We
conducted
a
study
in
Yangzhou
area,
collecting
Landsat
remote
sensing
data
net
primary
productivity
(NPP)
at
five-year
intervals
from
2001
2021.
applied
LightGBM-SHAP
model
systematically
analyze
correlation
between
UBGSs
NPP,
extracting
key
landscape
metrics.
The
results
indicated
that
metrics
had
varying
impacts
NPP.
At
patch
type
level,
Percentage
Landscape
was
positively
correlated
with
NPP
space,
while
contiguity
index
fractal
dimension
favored
under
certain
conditions.
contribution
space
lower,
some
indicators
exhibiting
negative
correlations.
contagion
aggregation
UBGS
positive
effects
division
shape
were
negatively
enhance
understanding
relationship
sequestration,
provide
reference
planning.
Language: Английский
Annually Spatial Pattern Dynamics of Forest Types under a Rapid Expansion of Impervious Surfaces: A Case Study of Hangzhou City
Zhu Yuxin,
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Jingchuan Zhou,
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Mingyue Liu
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et al.
Forests,
Journal Year:
2023,
Volume and Issue:
15(1), P. 44 - 44
Published: Dec. 24, 2023
Dramatic
forest
dynamics
strongly
influence
pressure
mitigation
from
the
increasing
population
and
climate
changes
of
an
urban
landscape.
Effectively
monitoring
landscapes
in
a
spatiotemporally
consistent
manner,
satellite
remote
sensing
has
emerged
as
first
analytical
tool
to
help
us
understand
forests.
At
present,
most
studies
focus
on
classification
algorithms,
spatial
analysis
methods,
ecosystem
models,
literature
lacks
explicit
research
responses
different
types
forests
urbanization.
Thus,
this
study,
Hangzhou
was
selected
typical
metropolitan
area
determine
annual
patterns
at
forest-type
level.
To
illustrate
pattern
resulting
rapid
urbanization,
study
characterized
Landsat-based
types,
well
their
2000
2022
using
object-based
backdating
classification,
land-use
transfer
matrix,
area-weighted
centroids,
landscape
indexes.
The
spatiotemporal
effects
impervious
surface
expansion
type
scale
were
discussed.
results
demonstrated
that
forests,
mainly
located
southwest,
decreased
11,660.69
11,516.15
km2.
Moreover,
evergreen
broadleaved
occupied
largest
had
ratio
among
three
over
23
years,
followed
by
needle-leaved
deciduous
In
total,
103.37
km2
areas
transformed
surfaces,
with
highest
transformation
occurring
widely
across
City
lowest
Forests
lost
adjacency
due
development
City,
while
southwestward
shrinkage
slowed
down
increase
degree
fragmentation.
Therefore,
measures
city
planning
according
deep
adjustments
administrative
divisions
suitability
should
be
implemented,
such
green
ecological
corridor
construction.
This
provides
methodology
explicit-scale
perspective
for
better
understanding
under
high-speed
Language: Английский
Effect of thinning intensity on the carbon sequestration of natural mixed coniferous and broadleaf forests in Xiaoxing’an Mountains, China
Journal of Forestry Research,
Journal Year:
2024,
Volume and Issue:
35(1)
Published: July 30, 2024
Abstract
To
study
the
effect
of
thinning
intensity
on
carbon
sequestration
by
natural
mixed
coniferous
and
broadleaf
forests
in
Xiaoxing’an
Mountains,
China,
we
established
six
100
m
×
experimental
plots
Dongfanghong
Forest
that
varied
intensity:
plot
A
(10%),
B
(15%),
C
(20%),
D
(25%),
E
(30%),
F
(35%),
control
sample
area
(0%).
principal
component
analysis
was
performed
using
50
different
variables,
including
species
diversity,
soil
fertility,
litter
characteristics,
canopy
structure
parameters,
seedling
regeneration
parameters.
The
effects
were
strongest
(0.75),
followed
(0.63),
(0.50),
(0.48),
(0.22),
(0.11),
(0.06).
composite
score
highest,
indicating
at
a
30%.
These
findings
provide
useful
insights
could
aid
management
China.
This
information
has
implications
for
future
studies
these
forests,
methods
used
ecological
assessments
Language: Английский
Relationship between Urban Forest Fragmentation and Urban Shrinkage in China Differentiated by Moisture and Altitude
Jingchuan Zhou,
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Weidong Man,
No information about this author
Mingyue Liu
No information about this author
et al.
Forests,
Journal Year:
2024,
Volume and Issue:
15(9), P. 1522 - 1522
Published: Aug. 29, 2024
Forest
fragmentation
and
urban
shrinkage
have
become
the
focus
of
attention
in
global
ecological
conservation,
with
goal
achieving
sustainable
development.
However,
few
studies
been
concerned
forest
patterns
shrinking
cities.
It
is
necessary
to
explore
whether
loss
population
will
mitigate
degradation.
Thus,
this
study,
195
cities
were
identified
based
on
demographic
datasets
characterize
spatiotemporal
forests
China
against
a
depopulation
background.
To
illustrate
explicit
spatial
evolution
China,
we
reclassified
land-use
products
determined
annual
variations
from
2000
2022
using
area-weighted
centroids
landscape
pattern
indexes.
The
effects
different
climatic
topographical
conditions
discussed.
results
demonstrated
that
coverage
rate
increased
40.05
40.47%
generally
southwestern
orientation,
most
frequent
decrease
appeared
2010
2015.
Except
for
temperate
humid
sub-humid
Northeast
plains
hills,
all
geographical
sub-regions
exhibited
growing
forests.
Relatively
stable
movement
direction
dynamics
dramatic
area
changes
large
observed.
at
lower
elevation
more
fluctuating
direction.
slightly
fragmented,
weakened
condition
was
via
decelerating
fragmentation.
warm-temperate,
humid,
North
basin
regions
variations.
Therefore,
it
emphasized
monitoring
policy
implementation
essential
due
time
lag
national
policies
cities,
especially
within
low-altitude
regions.
This
research
concludes
mitigation
deforestation
greatly
varied
according
moisture
altitude
sheds
light
density
new
perspective,
providing
support
management
improvements
quality
residents’
lives.
Language: Английский