Remote Sensing,
Год журнала:
2024,
Номер
16(9), С. 1541 - 1541
Опубликована: Апрель 26, 2024
The
rice–crayfish
co-culture
system,
a
representative
of
Agri-aqua
food
systems,
has
emerged
worldwide
as
an
effective
strategy
for
enhancing
agricultural
land
use
efficiency
and
boosting
sustainability,
particularly
in
China
Southeast
Asia.
Despite
its
widespread
adoption
China’s
Jianghan
Plain,
the
exact
spatiotemporal
dynamics
factors
influencing
this
practice
region
are
yet
to
be
clarified.
Therefore,
understanding
fields
(RCFs)
is
crucial
promoting
optimizing
policies.
In
study,
we
identified
spatial
distribution
RCF
using
Sentinel-2
images
data
analyze
during
period
2016–2020.
Additionally,
used
Multiscale
Geographically
Weighted
Regression
model
explore
key
RCF’s
changes.
Our
findings
reveal
that
(1).
area
Plain
expanded
from
1216.04
km2
2429.76
between
2016
2020,
marking
99.81%
increase.
(2).
evolved
toward
more
contiguous
clustered
pattern,
suggesting
clear
industrial
agglomeration
area.
(3).
expansion
RCFs
was
majorly
influenced
by
landscape
local
conditions.
Significantly,
Aggregation
Landscape
Shape
Indexes
positively
impacted
expansion,
whereas
proximity
rural
areas
towns
had
negative
impact.
This
study
provides
solid
foundation
system
sustainably
developing
related
industries.
To
ensure
sustainable
development
industries
recommend
governments
optimize
layout
settlements,
improve
transportation
infrastructure,
enhance
regional
water
sources
irrigation
construction,
all
line
with
national
revitalization
village
planning.
concentration
contiguity
through
consolidation
can
achieve
efficient
these
Land,
Год журнала:
2025,
Номер
14(3), С. 647 - 647
Опубликована: Март 18, 2025
Cropland
abandonment
(CA)
is
an
increasingly
severe
global
issue,
with
significant
implications
for
achieving
the
Sustainable
Development
Goal
of
Zero
Hunger.
In
China,
widespread
CA
particularly
evident
in
remote
mountainous
regions.
However,
rugged
terrain
and
highly
fragmented
cropland
pose
challenges
mapping
abandoned
high
precision
using
sensing
technology.
Moreover,
result
multi-level
factors,
yet
previous
studies
have
primarily
analyzed
its
driving
factors
from
a
single
level,
leading
to
lack
comprehensive
understanding
underlying
mechanisms.
We
took
Sichuan
Province,
located
regions
Western
as
case
study,
utilizing
satellite-derived
high-precision
maps
reveal
spatiotemporal
patterns
CA.
Additionally,
we
employed
hierarchical
linear
model
explore
determinants
their
interactions
at
both
county
municipal
levels.
The
results
indicate
that
rate
decreased
continuously
6.75%
2019
4.47%
2023,
exhibiting
spatial
clustering.
High-value
clusters
were
predominantly
concentrated
western
areas,
hotspots
exhibited
general
migration
trend
northeast
southwest.
Furthermore,
found
influenced
by
61%
39%
variance
being
explained
levels,
respectively.
agglomeration
index
(AI)
key
determinant
Digital
Elevation
Model
(DEM)
distance
roads
also
playing
roles.
At
urbanization
proportion
non-agricultural
employment
(PNAE)
are
dominant
increase
PNAE
weakens
negative
impact
AI
on
rates.
To
curb
recommend
implementing
land
consolidation
projects,
improving
rural
transfer
markets,
strengthening
legal
mechanisms
combat
Our
study
has
broad
application
prospects,
providing
critical
support
assessing
ecological
environmental
consequences
exploring
potential
reutilizing
food
production,
bioenergy,
carbon
sequestration.
Remote Sensing,
Год журнала:
2024,
Номер
16(6), С. 1052 - 1052
Опубликована: Март 15, 2024
Whether
China
can
achieve
the
United
Nations’
Sustainable
Development
Goals
(SDGs)
largely
depends
on
ability
of
main
food-producing
areas
to
cope
with
multiple
land
use
change
challenges.
Despite
fact
that
Yangtze
River
basin
is
one
key
regions
for
China’s
food
security,
spatiotemporal
dynamics
cropland
abandonment
and
recultivation
remain
unexplored
in
this
region.
The
present
study
assesses
evolution
agricultural
system
within
between
2000
2020
by
mapping
using
MODIS
time
series
cover
products.
results
highlight
a
widespread
process
(i.e.,
10.5%
total
area
2020),
predominantly
Western
Sichuan,
Eastern
Yunnan,
Central
Jiangxi.
Although
70%
abandoned
situated
slopes
less
than
5°,
highest
rates
are
mountainous
regions.
However,
2020,
74%
had
been
recultivated
at
least
once,
whereas
half
croplands
got
three
years
their
initial
abandonment.
Hence,
as
first
studies
unravels
complex
interaction
explicit
context,
it
offers
(i)
scientists
novel
methodological
framework
assess
issues
across
large
geographical
entities,
(ii)
policy-makers
new
insights
support
sustainable
transition
sector.
Remote Sensing,
Год журнала:
2023,
Номер
15(4), С. 1145 - 1145
Опубликована: Фев. 20, 2023
Knowledge
about
the
spatial-temporal
pattern
of
cropland
abandonment
is
premise
for
management
abandoned
croplands.
Traditional
mapping
approaches
croplands
usually
utilize
a
multi-date
classification-based
land
cover
change
trajectory.
It
requires
quality
training
samples
classification
at
each
epoch,
which
challenging
in
regions
smallholder
agriculture
absence
high-resolution
imagery.
Facing
these
challenges,
theoretical
model
proposed
to
recognize
based
on
post-abandonment
secondary
succession.
applies
continuous
detection
and
(CCDC)
temporal
segmentation
algorithm
Landsat
time
series
(1986~2021)
obtain
disjoint
segments,
representing
croplands’
status.
The
succession
showing
greening
trend
recognized
using
NDVI-based
harmonic
analysis,
so
as
capture
its
preceding
abandonment.
This
applied
mountainous
area
southwest
China,
where
abandonments
are
widespread.
Validation
stratified
random
referenced
by
vegetation
index
satellite
images
shows
that
detected
have
user
accuracy,
producer
accuracy
an
F1
score
ranging
from
43%
71%,
with
variation
among
year.
study
has
potential
extent
22,294
km2,
within
9252
km2
was
abandoned.
three
peak
years
were
1994,
2000,
2011.
suitable
be
large-scale
due
automatic
manner.
