MethodsX,
Journal Year:
2024,
Volume and Issue:
13, P. 102862 - 102862
Published: July 23, 2024
Sustainable
intensification
(SI)
of
agriculture
can
produce
more
food
to
meet
the
demand
a
growing
population
while
considering
ecosystem
health.
The
current
SI
estimation
framework
ignores
complex
coupling
between
input
and
output
intensity
arable
land.
A
method
for
coupled
analysis
land
based
on
sliding
windows
is
proposed.
By
calculating
correlation
coefficient
partial
in
different
value
ranges
as
order
parameter,
phase
transition
influence
process
be
explained.
Meanwhile,
python-based
developed.
An
application
was
made
reveal
interaction
annual
provincial
mainland
China.
Researchers
many
fields
may
benefit
from
by
obtaining
fast
way
relationship
driving
dependent
variables
systems.•New
presented.•The
parameter
calculated
windows.•Analysis
relationships
systems.
Land Use Policy,
Journal Year:
2024,
Volume and Issue:
139, P. 107070 - 107070
Published: Jan. 26, 2024
Systematically
recognizing
spatial
patterns
and
driving
factors
of
cultivated
land
fragmentation
is
great
significance
for
the
exploration
locally
appropriate
path
to
relieve
fragmentation.
This
study
aims
estimate
density,
mean
patch
size
area-weighted
shape
index
respectively
indicate
characteristics
from
three
dimensions,
namely,
natural
resource
endowment,
partition,
convenience
utilization.
The
regional
leading
are
also
analyzed.
results
demonstrate
that
distribution
density
higher
in
Northern
regions
compared
with
those
southern
regions.
significant
positive
correlation
between
found
be
universal
across
nearly
all
cities,
exceeding
differences
terrain,
elevation,
climate,
soil,
social
economic
condition.
For
cities
part
China,
regular
partitioned
smaller
blocks
irregular
ones;
alternatively,
intensive
meticulous
farming
under
small-scale
agricultural
operation
leads
clusters
low
-
index.
Random
forest
model
explains
impact
on
fragmentation,
an
explanatory
power
ranging
66%
95%.
terrain
factor
emerges
as
primary
driver
negatively
affecting
density.
Gross
domestic
product
dominant
a
(p
<
0.01)
negative
climatic
zones.
Terrain,
gross
population
most
important
Rural
development
degree
influences
greatly
instructive
at
national
scale
exploring
barriers
impede
regionally
scaled
use.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2149 - 2149
Published: March 2, 2025
This
study
examines
the
relationship
between
local
economic
structures
and
environmental
sensitivity
in
Italy,
focusing
on
a
novel
indicator
that
estimates
spatial
variability
of
Environmentally
Sensitive
Area
Index
(ESAI)
over
time.
approach
captures
within-region
disparities
degradation
processes,
addressing
key
gap
existing
literature.
Using
dataset
covering
all
Italian
provinces
from
1960
to
2010
considering
multiple
socio-economic
variables,
research
evaluates
their
impacts
ESAI
variability.
In
particular,
this
adopts
autoregressive
model
(SAR),
which
allows
both
direct
indirect
effects
selected
predictors
be
captured.
The
findings
offer
insights
for
policymakers
designing
strategies
mitigate
spread
land
hotspots
promote
balance
conservation
with
development
ensure
resource
sustainability.
Land Degradation and Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 17, 2025
ABSTRACT
Arable
land
is
vital
to
agriculture,
and
studying
cropland
fragmentation
key
for
sustainable
resource
use.
However,
research
has
largely
ignored
the
dynamic
nature
of
this
fragmentation,
focusing
instead
on
static
farmland
patterns.
This
study
proposed
eight
spatial
models
dynamics,
assessed
their
distribution
evolution
in
Yellow
Huaihai
grain‐producing
regions
from
2010
2020,
investigated
underlying
drivers.
It
was
found
that
(1)
although
area
showed
an
increasing
trend
rate
increase
gradually
weakened,
southeast
coastal
region
higher
than
northwest
inland
region.
(2)
LPI↑PD↑LSI↓
mode
cropland,
as
main
area,
widely
distributed
Shandong
Henan
Provinces,
well
Jiangsu
Province.
(3)
Except
LPI↓PD↑LSI↑
model,
drivers
its
are
population
density
mechanization
level,
while
model
natural
endowment
factors
such
topographic
relief.
The
findings
emphasize
need
curb
promote
concentration
connectivity
cropland.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(7), P. 3753 - 3753
Published: March 29, 2025
The
cultivated
land
in
the
black
soil
of
Northeast
China
(BSNC),
due
to
long-term
high-input
and
high-output
utilization,
is
facing
a
series
challenges
such
as
erosion,
compaction,
nutrient
loss.
However,
existing
quality
evaluation
(CLQE)
lacks
regional
specificity,
making
it
difficult
accurately
reflect
(CLQ)
characteristics
across
different
areas.
Therefore,
this
study
proposes
comprehensive
framework
that
integrates
both
functionality
degradation
risk,
establishing
an
assessment
system
consisting
18
indicators
comprehensively
evaluate
CLQ
BSNC
from
multiple
perspectives.
results
indicate
exhibits
declining
trend
north
south,
with
second-
third-grade
dominating,
accounting
for
75.68%
total
area.
overall
increases
west
east,
Liaohe
Plain
Region
(LHP)
performing
best.
Low-risk
primarily
concentrated
Songnen
(SNP)
Western
Sandy
(WS),
covering
38.55%
Additionally,
finds
trade-off
between
primary
productivity
function
resource
utilization
efficiency
regions,
while
synergistic
relationship
observed
maintenance
functions.
This
research
emphasizes
necessity
balancing
ecological
protection
achieve
sustainable
efficient
use
BSNC.
E3S Web of Conferences,
Journal Year:
2024,
Volume and Issue:
500, P. 03039 - 03039
Published: Jan. 1, 2024
Boyolali
Regency
comprises
a
variety
of
land
uses,
which
encompass
village
treasury
and
oro-oro
land.
The
importance
examining
this
’
s
potential
lies
in
its
optimization
the
reduction
disaster-related
risks.
This
study
objective
is
to
evaluate
index,
aiding
effective
management
decisions.
primary
aim
assess
index
for
Regency.
research
employs
spatial
analysis
within
geographic
information
system
involves
parameter
rating
overlaying.
Parameters
such
as
topography,
lithology,
soil
type,
hydrology,
disaster
vulnerability
are
considered
determine
potential.
results
classify
into
five
categories:
very
low,
medium,
high,
high.
Each
category
exhibits
variations
various
purposes,
including
settlements,
gardens,
moorlands,
forests,
rice
fields.
Field
surveys
generate
maps
showing
distribution
with
varying
levels.
assessment
takes
multiple
factors
account,
area,
proximity
protected
or
disaster-prone
areas
when
identifying
suitable
relocation.
provides
valuable
insights
planning
by
integrating
considerations
vulnerability.
