Land,
Год журнала:
2024,
Номер
13(12), С. 2195 - 2195
Опубликована: Дек. 16, 2024
The
rapid
expansion
of
cropland
in
Cambodia,
the
world’s
seventh-largest
rice
exporter,
has
created
an
imbalance
land
use
structure.
However,
there
is
a
lack
quantitative
investigation
loss
ecological
as
result
and
its
drivers.
In
this
research,
spatial
autocorrelation,
landscape
pattern
index
transfer
matrix
methods
were
used
based
on
data
from
2000
to
2023.
Then,
eXtreme
Gradient
Boosting-SHapley
Additive
exPlanations
(XGBoost-SHAP)
Geographic
Detector
explore
drivers
expansion.
findings
indicate
that
expanse
agricultural
Cambodia
significantly
increased
by
13.47%.
proportion
area
(37.87%)
close
forest
(40.19%).
Cultivated
dominated
fields,
supplemented
drylands.
Spatial
clustering
obvious
both
drylands
fields.
Drylands
are
mainly
concentrated
eastern
western
mountainous
areas
northern
border,
while
fields
central
plains.
encroached
total
30,579.27km2
land,
which
62.88%
was
dry
37.12%
Forests
shrubs
main
source
cropland.
addition,
soil
type
(0.18),
elevation
(0.17)
GDP
(0.17),
population
(0.52)
their
interactions
strongly
drove
dryland
should
conduct
scientific
research
assess
demand
for
growth
economic
progress.
It
realize
orderly
cultivated
reduce
damage
promote
coordinated
development
society,
environment
economy.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 23, 2025
Despite
the
ecological
and
socioeconomic
importance
of
agro-pastoral
ecotones,
changes
in
land
use
cover
(LULC)
their
driving
mechanisms
are
not
comprehensively
understood.
In
this
study,
a
systematic
framework
for
LULC
assessment
covering
comprehensive
timeframes
was
constructed
Tabu
watershed.
Results
demonstrated
that
new
process
began
1998,
with
significant
increase
farmland
decrease
grassland.
The
dynamic
degrees
structural
variation
coefficients
indicated
intensive
frequent
LULC.
Conversion
ratios
between
grassland
exceeded
95%,
construction
encroached
upon
Grassland
were
driven
mainly
by
natural
factors
based
on
random
forest
regression,
as
well
land.
influence
anthropogenic
drivers
became
significant.
Under
sustainable
development
scenario,
high
fractional
vegetation
2034
most
significant,
area
bare
decreased,
steadily
increased,
reduction
under
control.
both
ecosystem
stability
can
be
achieved.
This
study
provides
insights
into
regional
dynamics
guidance
management.
Forests,
Год журнала:
2024,
Номер
15(10), С. 1739 - 1739
Опубликована: Окт. 1, 2024
Wildfires
pose
a
growing
threat
to
Mediterranean
ecosystems.
This
study
employs
advanced
classification
techniques
for
shrub
fractional
cover
mapping
from
satellite
imagery
in
fire-prone
landscape
Quinta
da
França
(QF),
Portugal.
The
area
is
characterized
by
fine-grained
heterogeneous
land
and
climate.
In
this
type
of
landscape,
encroachment
after
abandonment
wildfires
constitutes
ecosystem
resilience—in
particular,
increasing
the
susceptibility
more
frequent
large
fires.
High-resolution
is,
therefore,
an
important
contribution
management
fire
prevention.
Here,
20
cm
resolution
map
was
used
label
10
m
Sentinel-2
pixels
according
their
percentage
(three
categories:
0%,
>0%–50%,
>50%)
training
testing.
Three
distinct
algorithms,
namely
Support
Vector
Machine
(SVM),
Artificial
Neural
Networks
(ANNs),
Random
Forest
(RF),
were
tested
purpose.
RF
excelled,
achieving
highest
precision
(82%–88%),
recall
(77%–92%),
F1
score
(83%–88%)
across
all
categories
(test
validation
sets)
compared
SVM
ANN,
demonstrating
its
superior
ability
accurately
predict
cover.
Analysis
confusion
matrices
revealed
RF’s
(higher
true
positives)
with
fewer
misclassifications
(lower
false
positives
negatives).
McNemar’s
test
indicated
statistically
significant
differences
(p
value
<
0.05)
between
models,
consolidating
dominance.
development
maps
derived
products
anticipated
leverage
key
information
support
management,
such
as
assessment
hazard
effective
planning
preventive
actions.
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Окт. 29, 2024
Introduction
The
research
purpose
is
to
scientifically
substantiate
an
integrated
approach
solving
the
problem
of
land
degradation,
based
on
idea
degradation
neutrality
(LDN),
taking
into
account
ecosystem
services
when
planning
use
maximize
conservation
natural
capital.
methodological
basis
provisions
and
principles
concepts
sustainable
development,
achieving
LDN,
services,
as
well
results
revealing
various
aspects
use,
particularly
their
degradation.
Methods
following
methods
are
used
in
paper:
dialectical
–
determine
cause-and-effect
conditions
degradation;
analysis
highlight
current
state
Ukraine
factors
that
have
led
synthesis
for
global
trends
towards
LDN;
deduction
explore
possibility
introducing
experience
LDN
Ukraine;
structural-functional
feasibility
land-use
achieve
LDN.
Results
As
a
result
research,
has
been
analyzed,
ways
through
prism
substantiated.
Based
statistical
data,
potential
levels
arability
territory
calculated
by
natural-climatic
zones,
areas
eroded
arable
lands
determined
erodibility
factor
(low-eroded,
mediumeroded,and
highly-eroded).
Discussion
For
first
time,
structural-logical
scheme
developed
organizational-economic
support
effective
degraded
low-productive
agricultural
context
implementing
which
tool
rational
allocation
lands.
This
can
serve
development
strategies
territorial
communities,
institutions,
organizations
competent
field
management.
Land,
Год журнала:
2024,
Номер
13(7), С. 924 - 924
Опубликована: Июнь 25, 2024
Jilin
Province
is
located
in
the
northeast
of
China,
and
has
fragile
ecosystems,
a
vulnerable
environment.
Large-scale,
long
time
series,
high-precision
land-use/cover
change
(LU/CC)
data
are
important
for
spatial
planning
environmental
protection
areas
with
high
surface
heterogeneity.
In
this
paper,
based
on
temporal
fusion
Landsat
MODIS
Google
Earth
Engine
(GEE),
series
LU/CC
mapping
spatio-temporal
analysis
period
2000–2023
were
realized
using
random
forest
remote
sensing
image
classification
method,
which
integrates
indices.
The
prediction
results
OL-STARFM
method
very
close
to
real
images
better
contained
information,
allowing
its
application
subsequent
classification.
average
overall
accuracy
kappa
coefficient
products
obtained
fused
index
95.11%
0.9394,
respectively.
During
study
period,
area
cultivated
land
unused
decreased
as
whole.
grassland,
forest,
water
fluctuated,
while
building
increased
13,442.27
km2
2023.
terms
transfer,
was
most
source
transfers,
total
share
from
42.98%
38.39%.
Cultivated
mainly
transferred
land,
transfer
7682.48
km2,
8374.11
7244.52
Grassland
largest
into
among
other
feature
types
relatively
small,
at
less
than
3300
km2.
This
provides
support
scientific
management
resources
Province,
resulting
dataset
great
significance
regional
sustainable
development.
Remote Sensing,
Год журнала:
2023,
Номер
15(24), С. 5716 - 5716
Опубликована: Дек. 13, 2023
Grassland
desertification
stands
as
an
ecological
concern
globally.
It
is
crucial
for
prevention
and
control
to
comprehend
the
variation
in
area
severity
of
desertified
grassland
(DGL),
clarify
intensities
conversion
among
DGLs
different
levels,
explore
spatial
temporal
driving
factors
desertification.
In
this
study,
a
Desertification
Difference
Index
(DDI)
model
was
constructed
based
on
albedo-EVI
extract
information.
Subsequently,
intensity
analysis,
Geo-detector
model,
correlation
analysis
were
applied
analyze
dynamics
The
results
showed
following:
(1)
Spatially,
DGL
Xilingol
exhibited
zonal
distribution.
Temporally,
degree
decreased,
with
proportion
severely
moderately
areas
decreasing
from
51.77%
2000
37.23%
2020,
while
nondesertified
healthy
increased
17.85%
37.40%
2020;
(2)
Transition
levels
more
intense
during
2000–2012,
stabilizing
2012–2020;
(3)
Meteorological
soil
conditions
primarily
drive
distribution
DDI,
evapotranspiration
exhibiting
most
significant
influence
(q-value
0.83),
human
activities
dominate
interannual
DDI
variations.
This
study
provides
insights
into
patterns
divergent
forces
shaping
both
dimensions
Xilingol.