Abstract.
Accurate,
detailed,
and
up-to-date
information
on
cropland
extent
is
crucial
for
provisioning
food
security
environmental
sustainability.
However,
because
of
the
complexity
agricultural
landscapes
lack
sufficient
training
samples,
it
remains
challenging
to
monitor
dynamics
at
high
spatial
temporal
resolutions
across
large
geographical
extents,
especially
places
where
land
use
changing
dramatically.
Here
we
developed
a
novel
cost-effective
annual
mapping
framework
that
integrated
time-series
Landsat
imagery,
automated
sample
generation,
machine
learning
change
detection
techniques.
We
implemented
proposed
scheme
cloud
computing
platform
Google
Earth
Engine
generated
China’s
dataset
(CACD)
30
m
resolution
first
time.
Results
demonstrated
our
approach
was
capable
tracking
dynamic
changes
in
different
zones.
The
pixel-wise
F1
scores
maps
CACD
were
0.79±0.02
0.81,
respectively.
A
further
cross-product
comparison
terms
accuracy
assessment,
correlations
with
statistics,
details
indicated
precision
robustness
than
other
datasets.
According
estimation,
from
1986
2021,
total
area
expanded
by
30,300
km2
(1.79
%),
which
underwent
an
increase
before
2000
but
general
decline
between
2000–2015
slight
recovery
afterward.
Cropland
expansion
concentrated
northwest
while
eastern
coastal
region
experienced
substantial
loss.
In
addition,
observed
419,342
(17.57
%)
croplands
abandoned
least
once
during
study
period.
consistent,
high-resolution
data
can
support
progress
toward
sustainable
production
various
research
applications.
full
archive
freely
available
https://doi.org/10.5281/zenodo.7936885
(Tu
et
al.,
2023a).
Earth system science data,
Год журнала:
2024,
Номер
16(5), С. 2297 - 2316
Опубликована: Май 6, 2024
Abstract.
Accurate,
detailed,
and
up-to-date
information
on
cropland
extent
is
crucial
for
provisioning
food
security
environmental
sustainability.
However,
because
of
the
complexity
agricultural
landscapes
lack
sufficient
training
samples,
it
remains
challenging
to
monitor
dynamics
at
high
spatial
temporal
resolutions
across
large
geographical
extents,
especially
regions
where
land
use
changing
dramatically.
Here
we
developed
a
cost-effective
annual
mapping
framework
that
integrated
time-series
Landsat
satellite
imagery,
automated
sample
generation,
as
well
machine
learning
change
detection
techniques.
We
implemented
proposed
scheme
cloud
computing
platform
Google
Earth
Engine
generated
novel
dataset
China's
30
m
resolution
(namely
CACD).
Results
demonstrated
our
approach
was
capable
tracking
dynamic
changes
in
different
zones.
The
pixel-wise
F1
scores
maps
CACD
were
0.79
±
0.02
0.81,
respectively.
Further
cross-product
comparisons,
including
accuracy
assessment,
correlations
with
statistics,
details,
highlighted
precision
robustness
compared
other
datasets.
According
estimation,
from
1986
2021,
total
area
expanded
by
300
km2
(1.79
%),
which
underwent
an
increase
before
2002
but
general
decline
between
2015,
slight
recovery
afterward.
Cropland
expansion
concentrated
northwest
while
eastern,
central,
southern
experienced
substantial
loss.
In
addition,
observed
419
342
(17.57
%)
croplands
abandoned
least
once
during
study
period.
consistent,
high-resolution
data
can
support
progress
toward
sustainable
production
various
research
applications.
full
archive
freely
available
https://doi.org/10.5281/zenodo.7936885
(Tu
et
al.,
2023a).
Ecological Indicators,
Год журнала:
2024,
Номер
159, С. 111698 - 111698
Опубликована: Фев. 1, 2024
Urban
development
inevitably
comes
with
the
loss
of
prime
agricultural
land,
leading
to
a
decline
in
cropland
productivity.
The
Northeast
region
is
an
important
grain-producing
China,
and
land
great
significance
ensuring
national
food
security.
Here,
use
cover
data
MODIS-NPP
were
used
comprehensively
understand
direct
adverse
influence
urban
growth
on
net
primary
productivity
(NPP)
China.
results
indicated
that
(1)
area
increased
by
total
5230.00
km2
since
2000.
phenomenon
was
particularly
notable
cities
near
central
transportation
trunk
line
along
southern
coastal
regions.
(2)
more
than
half
newly
added
patches
originated
from
cropland.
Between
2000
2020,
expansion
China
resulted
0.
85
Tg
C
NPP.
(3)
there
significant
regional
variation
NPP
loss.
low
altitude
slope
regions
experienced
most
Meanwhile,
large
developed
caused
losses,
dispersed
had
broader
impact
concentrated
expansion.
(4)
when
converting
crop
yield,
it
revealed
reduction
0.91
million
tons
grain
yield
These
findings
provide
valuable
insights
for
protection
strategies
offering
crucial
guidance
sustainable
practices.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Abstract
Can
horizontal
ecological
compensation
(HEC)
policies
in
China
promote
the
development
of
more
inclusive
and
resilient
cities?
This
study
explores
impact
HEC
on
urban
growth,
examining
their
role
advancing
greener,
inclusive,
cities
aligned
with
global
sustainability
goals.
Using
panel
data
from
180
Yangtze
Yellow
River
basins
(2007–2022)
an
Inclusive
Resilient
City
(IRC)
index,
we
assess
effect
through
a
multi-period
quasi-natural
experiment.
Our
findings
reveal
that
positively
influence
IRC,
mainly
industrial
upgrading
green
innovation,
particularly
upper
middle
river
basins.
The
results
are
robust,
confirmed
by
parallel
trend
analysis,
placebo
tests,
propensity
score
matching,
trimming
to
account
for
endogeneity.
enhances
understanding
its
fostering
sustainable,
development,
offering
valuable
insights
future
policy
initiatives.
Land,
Год журнала:
2025,
Номер
14(2), С. 343 - 343
Опубликована: Фев. 8, 2025
It
is
well
established
that
China’s
rapid
urban
expansion
has
led
to
a
substantial
loss
of
cropland.
However,
few
studies
have
examined
how
different
patterns
contribute
cropland
consumption,
which
hindered
the
formulation
sustainable
development
and
protection
policies.
To
fill
this
gap,
we
analyzed
occupation
under
three
(leap-frogging,
edge-spreading,
interior
filling)
in
China
from
1990
2020,
using
long-term
land
use
data.
The
dominant
driving
forces
were
then
explored
XGBoost
model
SHAP
values.
Our
findings
indicate
2020
resulted
6.3%
reduction
cropland,
with
edge-spreading
(4.0%)
contributing
most,
followed
by
leap-frogging
(2.1%)
filling
(0.2%).
Change
intensity
(CUI)
proved
be
most
critical
driver
loss,
values
0.38,
0.28,
0.37
for
leap-frogging,
filling,
respectively.
Over
time,
evolved
single
demographic-economic
dominance
more
diversified
integrated
set
drivers.
Based
on
these
findings,
propose
tailored
planning
policies
patterns;
regions
dominated
stricter
controls
boundaries
stronger
constraints
are
required.
For
prominent
expansion,
efforts
should
made
improve
internal
efficiency
while
preserving
existing
spaces.
In
characterized
further
optimization
construction
allocation
needed
reduce
productive
suburban
These
not
only
offer
new
empirical
evidence
understanding
interplay
between
conservation
but
also
provide
transferable
insights
can
inform
land-use
strategies
other
rapidly
urbanizing
facing
similar
challenges.
Land,
Год журнала:
2025,
Номер
14(4), С. 708 - 708
Опубликована: Март 26, 2025
Owing
to
climate
change
and
increasing
resource
competition,
elucidating
the
control
mechanism
of
cultivated
land
productivity
stability
is
essential.
Previous
research
has
focused
on
anthropogenic
or
climatic
factors
individually,
overlooking
their
combined
effects;
therefore,
“climate–anthropogenic”
framework
was
constructed.
Net
primary
(NPP)
employed
measure
investigate
impact
in
Poyang
Lake
from
2001
2022.
Results
revealed
that
NPP
increased
but
fluctuated
significantly
higher
southern
than
north.
The
low
spatial
distribution
fluctuation
area
concentrated
periphery
Lake,
riverbank
comprised
middle
high
areas,
Ganjiang
River
Delta
exhibited
fluctuation.
Multiple
linear
regression
analysis
indicated
positively
impacted
by
farmland
river
proximity
average
patch
fractal
dimension
affected
negatively
annual
precipitation.
Stable
production
improved
utilization
efficiency
requires
irrigation
drainage
system
optimization
adaptability
change.
Moreover,
fragmentation
should
be
reduced,
resilience
external
disturbances
enhanced.
