Forests,
Journal Year:
2022,
Volume and Issue:
13(8), P. 1257 - 1257
Published: Aug. 9, 2022
Since
the
implementation
of
Natural
Forest
Resources
Protection
Project
(NFRP)
and
Grain
for
Green
Program
(GFGP),
two
key
ecological
projects
related
to
forestry,
vegetation
cover
in
Chongqing,
has
improved
significantly.
Existing
studies
have
revealed
effects
climate
change
human
activity
on
arid
regions.
However,
more
are
needed
reveal
influence
drivers
mild
humid
areas,
quantify
relative
contribution
analyze
overall
land
use
characteristics
different
In
this
study,
we
used
Theil–Sen
slope
analysis
Mann–Kendall
test
investigate
spatial
temporal
changes
Chongqing.
Further,
Pearson
correlation
correlations
between
drivers,
quantitatively
analyzing
contributions
these
drivers.
Complex
network
model
was
regions
obtain
their
land-use
system
characteristics,
Hurst
index
adopted
predict
future
vegetation-cover
changes.
The
results
study
showed
that
average
Chongqing
increased
significantly
from
2000
2020,
greening
trend
most
obvious
winter.
Precipitation
temperature
influenced
city
a
certain
extent,
positive
precipitation
significant
than
with
temperature.
terms
factor,
areas
were
mainly
concentrated
central
southern
parts
which
could
be
higher
part
city.
Under
combined
activity,
71.95%
total
area.
Human
had
70.39%
69.14%
where
decreased
increased,
respectively.
complex
woodlands
grasslands
contributed
exhibited
an
increasing
trend.
future,
it
is
estimated
72.92%
will
exhibit
degradation
This
helps
us
further
understand
providing
new
research
directions
informing
forestry-related
policies.
Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(17), P. 4362 - 4362
Published: Sept. 2, 2022
A
forest
fire
susceptibility
map
generated
with
the
model
is
basis
of
prevention
resource
allocation.
more
reliable
helps
improve
effectiveness
Thus,
further
improving
prediction
accuracy
always
goal
modeling.
This
paper
developed
a
based
on
an
ensemble
learning
method,
namely
light
gradient
boosting
machine
(LightGBM),
to
produce
accurate
map.
In
modeling,
subtropical
national
park
in
Jiangsu
province
China
was
used
as
case
study
area.
We
collected
and
selected
eight
variables
from
occurrence
driving
factors
for
modeling
correlation
analysis.
These
are
topographic
factors,
climatic
human
activity
vegetation
factors.
For
comparative
analysis,
another
two
popular
methods,
logistic
regression
(LR)
random
(RF)
were
also
applied
construct
models.
The
results
show
that
temperature
main
factor
produced
map,
extremely
high
areas
classified
by
LR,
RF,
LightGBM
5.82%,
18.61%,
19%,
respectively.
F1-score
higher
than
LR
RF
LightGBM,
88.8%,
84.8%,
82.6%,
area
under
curve
(AUC)
them
0.935,
0.918,
0.868,
introduced
method
shows
better
ability
performance
evaluation
metrics.
Agriculture,
Journal Year:
2022,
Volume and Issue:
12(8), P. 1087 - 1087
Published: July 23, 2022
Global
food
production
faces
immense
pressure,
much
of
which
can
be
attributed
to
climate
change.
A
detailed
evaluation
the
impact
change
on
yield
staple
crops
in
Kazakhstan,
a
major
exporter,
is
required
for
more
scientific
planting
management.
In
this
study,
Mann–Kendall
test
and
Theil–Sen
Median
slope
were
used
determine
trends
yields
over
past
30
years;
random
forest
was
analyze
importance
monthly
climatic
factors;
states
classified
according
factors
through
systematic
clustering
method;
lastly,
influence
analyzed
using
panel
regression
models.
The
upward
trend
wind
speed
potato
throughout
Kazakhstan
apparent.
Furthermore,
barley
wheat
had
increased
southeast.
We
determined
that
wheat,
frostbite
should
prevented
after
warmer
winters
high-latitude
areas.
Except
July–August
low-latitude
areas,
irrigation
water
provided
other
growth
periods
regions.
As
similar
effects
reported
barley,
same
preventive
measures
would
apply.
For
potatoes,
tuber
rot,
caused
by
frost
or
excessive
precipitation
May,
areas;
soil
dryness
alleviated
during
germination
seedling
stages
cooling
maintained
formation
maturation.
hot
dry
air
March
April
could
damage
crops.
ISPRS International Journal of Geo-Information,
Journal Year:
2023,
Volume and Issue:
12(9), P. 358 - 358
Published: Aug. 31, 2023
Architectural
heritage
refers
to
buildings,
complexes,
and
sites
with
historical,
cultural,
artistic,
technological,
geographical
values,
including
ancient
historical
places
of
interest,
dwellings,
industrial
sites.
China’s
20th-Century
Heritage
List
is
a
state-level
list
that
includes
architecture
artistic
value
in
China
the
20th
century.
It
carrier
past
century
monument
witnessing
change
human
knowledge,
culture,
technology,
even
art.
This
from
China,
country
vast
land
area,
densely
populated
population,
numerous
architectural
relics.
study
used
ArcGIS
analyze
597
cases
6
batches
List.
Its
spatial
structure
was
studied
by
calculating
nearest
neighbor
index,
Gini
coefficient,
imbalance
kernel
density.
The
results
showed
distribution
Chinese
modern
resources
cohesive
uneven
China.
Next,
detector
model
its
influencing
factors
perspective
12
factors.
found
this
type
resource
condensed.
provincial
level
pattern
seven
centers
one
core
multiple
scattered
points.
34
administrative
regions
extremely
uneven,
57.29%
being
located
North
East
also
focused
on
analyzing
five
factors,
namely,
topography,
regional
status,
culture
education,
social
economic
development
level,
external
contact.
Exploring
will
not
only
enable
comprehensive
understanding
context
current
situation
20th-century
heritage,
but
provide
reference
for
protection
sustainable
use.
Forests,
Journal Year:
2023,
Volume and Issue:
14(3), P. 509 - 509
Published: March 4, 2023
The
Hanjiang
River
Basin
(HJRB)
is
an
important
water
conservation
and
ecological
barrier
area
for
the
South–North
Water
Transfer
Central
Project.
quantitative
analysis
of
regional
differences
in
vegetation
changes
their
main
drivers
monitoring
environment
basin
formulation
protection
measures.
Based
on
MODIS13Q1
data
from
2000
to
2020,
spatiotemporal
variation
characteristics
HJRB
were
analyzed
using
Theil–Sen
+
Mann–Kendall,
Hurst
index,
correlation
analysis.
Then,
we
detected
optimal
parameter
geographic
detector.
results
showed
that
average
NDVI
value
increased
0.651
0.737,
with
a
spatial
distribution
pattern
“high
northwest
low
southeast”,
88.68%
study
increase
cover,
while
5.80%
significant
degradation.
positive
persistence
future
stronger
than
negative.
It
may
show
slowdown
or
degradation
trend,
among
which
restoration
along
Han
urbanized
areas
need
be
strengthened.
factor
detector
indicated
factors
influencing
change
topography
climate,
most
influential
variables,
respectively,
elevation
(0.1979),
landform
(0.1720),
slope
(0.1647),
soil
type
(0.1094),
weaker
influence
human
activity
factors.
interaction
test
various
enhanced
explanatory
power
mainly
nonlinear
two-factor
enhancements.
dominant
varies
between
sub-basins;
example,
wind
speed
land
use
conversion
was
middle
reaches
HJRB;
lower
expressed
as
temperature.
Finally,
effects
range
category
different
growth
systematically
analyzed.
contribute
understanding
dynamic
based
comprehensive
consideration
topography,
activities,
taking
into
account
totality
variability
geographical
environment,
provide
reference
rational
resources
HJRB.
Forests,
Journal Year:
2023,
Volume and Issue:
14(6), P. 1135 - 1135
Published: May 31, 2023
Forests
play
an
irreplaceable
role
in
preserving
soil
and
water,
as
well
realizing
carbon
neutrality.
However,
logging
urban
expansion
have
caused
widespread
forest
fragmentation
globally,
resulting
biodiversity
loss
emissions.
Therefore,
it
is
a
prerequisite
to
develop
comprehensive
index
for
evaluating
the
degree
of
propose
effective
policies
protection
restoration.
In
this
study,
(FFCI)
was
constructed
through
principal
component
analysis
(PCA)
based
on
land-use
data
from
2000
2020
Fujian
Province,
composed
five
commonly
used
landscape
metrics:
patch
density
(PD),
largest
(LPI),
mean
area
(MPA),
aggregation
(AI),
division.
Then,
semivariogram
function
moving
windows
method
were
employed
explore
scale
effect
spatiotemporal
variations
FFCI.
The
spatial
autocorrelation
distinguish
relationship
fragmentation,
while
driving
mechanisms
explored
using
geographic
detector
(GD).
results
show
that
optimal
reflect
window
3500
m.
proposed
FFCI
could
explain
more
than
85%
information
all
metrics,
effectivity
validated
by
urban–rural
gradient
transect
analysis.
We
also
found
that,
despite
having
highest
coverage
China,
Province
has
experienced
severe
fragmentation.
High
medium
accounted
over
50%
types
with
decreasing
trends
low
very
increasing
high
time,
indicating
study
aggravated
time.
Moreover,
distribution
pattern
mainly
high–high
clusters
low–low
clusters,
showing
trend
year
year.
areas
distributed
center
coastal
cities,
internal
cities
western
central
regions
had
relatively
Additionally,
differentiation
variation
influenced
elevation,
slope,
nighttime
light
intensity.
superimposed
impact
two
factors
greater
individual
factors.
These
provide
approach
assessing
offer
scientific
support
mitigating
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 523 - 523
Published: March 3, 2025
The
expansion
of
road
networks
profoundly
affects
ecological
systems
by
intensifying
habitat
fragmentation,
altering
hydrological
processes,
and
exacerbating
pollution.
However,
our
understanding
the
multi-scale
spatiotemporal
coupling
between
quality
remains
limited.
Thus,
taking
Fuzhou
City
in
Southeastern
China
as
a
case
study
(~12,000
km2),
we
apply
bivariate
spatial
autocorrelation,
geographical
detectors
(GDs),
geographically
weighted
regression
(MGWR)
to
explore
interactions
quality.
Results
reveal
following:
(1)
From
2016
2021,
kernel
density
estimation
(KDE)
analysis
network
indicates
coordinated
growth
both
urban
rural
areas,
with
an
increase
0.759
km/km2.
Analysis
based
on
remote
sensing-based
index
(RSEI)
shows
decrease
from
2000
2016,
then
trend
increasing
gradually
center
area.
(2)
Predominant
tradeoff
relationships
exist
KDE
RSEI
while
notable
synergistic
emerge
ΔKDE
ΔRSEI.
(3)
Multi-scale
GD
identifies
principal
factor
influencing
ΔRSEI,
MGWR
reveals
their
significant
associations
at
optimal
scale
3000
m.
These
findings
highlight
unequal
impact
quality,
underscoring
pivotal
role
changes
its
dynamics.
They
offer
essential
insights
for
sustainable
transport
planning.
Forests,
Journal Year:
2023,
Volume and Issue:
14(6), P. 1238 - 1238
Published: June 15, 2023
To
determine
the
spatial–temporal
variations
and
factors
leading
to
vegetation
recovery
in
loess
hilly
gully
region
of
China,
this
study
analyzed
a
two-decade
trend
variation
cover
based
on
normalized
difference
index
(NDVI)
data
from
1998
2019
using
Sen
+
MK
test
Hurst
determined
driving
Geodetector
model.
The
area
was
high
southeast
low
northwest,
with
an
overall
increasing
rate
0.0108/year.
areas
significant
improvement
accounted
for
95.14%,
persistent
change
37.36%.
Annual
precipitation
is
most
crucial
factor
NDVI
change,
potential
evapotranspiration,
relative
humidity,
elevation,
land
use
type,
type
can
also
explain
local
variations.
effect
compound
significantly
greater
than
that
single
factor.
effective
are
annual
precipitation,
humidity
which
varied
between
559.4–698.6
mm,
530.6–744.6
59%–62%,
2006–2717
m,
respectively.
use,
vegetation,
soil
types
suitable
healthy
growth
forest,
coniferous
eluvial
soil.
