The neglected cost: Ecosystem services loss due to urban expansion in China from a triple-coupling perspective
Environmental Impact Assessment Review,
Год журнала:
2025,
Номер
112, С. 107827 - 107827
Опубликована: Янв. 20, 2025
Язык: Английский
Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farmland
Agricultural Water Management,
Год журнала:
2025,
Номер
309, С. 109349 - 109349
Опубликована: Фев. 5, 2025
Язык: Английский
Spatial zoning and effect evaluation of county high-standard farmland siting delineation for sustainable cultivated land use in China: A case study in Dali, Shaanxi
Ecological Indicators,
Год журнала:
2024,
Номер
167, С. 112647 - 112647
Опубликована: Сен. 25, 2024
Язык: Английский
Quantifying and Mapping the Impact of Construction Land Expansion on Cultivated Land Fragmentation—A Case Study of Fuqing City, China
Agriculture,
Год журнала:
2025,
Номер
15(2), С. 184 - 184
Опубликована: Янв. 15, 2025
To
ensure
the
sustainable
utilization
of
cultivated
land
resources,
it
is
essential
to
quantify
and
map
characteristics
construction
analyze
mechanisms
by
which
expansion
affects
land.
However,
few
studies
have
been
conducted
focusing
on
this
issue.
This
study
integrated
morphological
spatial
pattern
analysis,
spillover
effect
landscape
a
use
transition
monitoring
method
investigate
fragmentation.
Fuqing
City
China
was
selected
as
case
area
for
demonstration.
The
results
demonstrated
that
resulted
in
fragmented
patterns
within
landscape:
(1)
large
core
subdivided
into
smaller
areas
during
2000–2020,
while
exhibited
tendency
towards
aggregation
effect;
(2)
rate
accelerated,
extent
decreased;
(3)
Cultivated
fragmentation
intensified
weakened,
leading
an
agglomeration
highlights
are:
examining
from
geospatial
perspectives;
categorizing
based
their
size
facilitate
analysis
factors
contributing
findings
can
be
used
develop
models
predict
future
provide
suggestions
planning.
Язык: Английский
Cropland Loss Under Different Urban Expansion Patterns in China (1990–2020): Spatiotemporal Characteristics, Driving Factors, and Policy Implications
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.
Язык: Английский
From Conservation to Development: A Study of Land Use and Ecological Changes to Vegetation Around the Hainan Tropical Rainforest National Park
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2403 - 2403
Опубликована: Март 10, 2025
Global
ecosystems,
particularly
in
biodiversity-rich
tropical
rainforests,
are
increasingly
under
pressure
from
human
activities.
As
socio-economic
development
continues
and
populations
steadily
grow,
the
effective
planning
of
areas
surrounding
national
parks
has
become
a
global
challenge.
This
study,
based
on
remote
sensing
data
utilizing
landscape
ecology
tools,
such
as
ArcGIS
10.8,
GeoDa
1.20,
Fragstats
4.2,
combines
spatial
statistical
methods,
trend
analysis,
Hurst
index
to
conduct
long-term
analysis
forecast
future
trends
vegetation
ecological
quality
indicators
(VEQI)
pattern
changes
within
around
Hainan
Tropical
Rainforest
National
Park.
VEQI
across
various
buffer
zones
were
also
assessed.
Our
results
show
that
both
arable
built-up
land
increased,
especially
2002
2022.
Arable
decreased
5566.8
km2
4796.8
km2,
then
increased
5904.6
km2;
expanded
163.97
314.59
reflecting
urbanization.
Spatiotemporal
revealed
42.54%
study
area
experienced
significant
changes,
with
24.05%
increase
(mainly
northwest)
an
18.49%
decrease
southeast).
The
improvements
consistent
all
zones,
most
growth
7.5
km
zone.
Landscape
indices
indicated
high
fragmentation
coastal
areas,
while
inland
remained
stable,
tension
between
conservation
These
findings
provide
theoretical
basis
for
zone
policies
park.
Язык: Английский
Bundling regions to explore synergies and trade-offs among water-wetland-food nexus in Black Soil Granary, China
Agricultural Water Management,
Год журнала:
2025,
Номер
312, С. 109426 - 109426
Опубликована: Март 12, 2025
Язык: Английский
The impact of urban expansion on food production: a bibliometric study of development, hotspots, and future prospects
Frontiers in Sustainable Food Systems,
Год журнала:
2025,
Номер
9
Опубликована: Апрель 10, 2025
The
acceleration
of
urban
expansion
and
rapid
economic
growth
have
significantly
intensified
agricultural
land
scarcity,
jeopardizing
global
food
security.
Although
this
issue
has
become
a
key
topic
in
security,
comprehensive
systematic
literature
review
is
still
lacking.
To
systematically
analyze
the
evolutionary
patterns,
research
frontiers,
knowledge
structure
field,
study
employs
an
integrated
bibliometric
approach
using
CiteSpace,
VOSviewer,
Bibliometrix
R-tool
for
mapping.
results
indicate
that
on
impact
production
can
be
divided
into
initial
period
(1983–1999),
development
(2000–2014),
high
(2015–present).
One
hundred
thirty-nine
countries
conducted
area.
Research
greenhouse
gases,
simulation
forecasting,
carbon
footprints,
smart
agriculture
emerged
as
hotspots
field
recent
years.
Crop
yield,
use
change,
security
consistently
been
central
themes.
This
also
highlights
future
directions,
emphasizing
importance
interdisciplinary
collaboration,
scenario-based
analysis,
methodological
advancements
studies.
Balancing
with
amid
urbanization
remains
critical
challenge
warrants
further
exploration.
Additionally,
limitations,
such
database
constraints
potential
analytical
biases,
are
discussed.
These
findings
may
serve
valuable
reference
domain.
Язык: Английский
Spatial patterns of urban expansion and cropland loss during 2017–2022 in Guangdong, China
Heliyon,
Год журнала:
2024,
Номер
10(9), С. e30548 - e30548
Опубликована: Апрель 30, 2024
Urban
expansion
often
occurs
at
the
expense
of
cropland
loss,
posing
challenges
to
sustainable
urban
growth
and
food
security.
However,
detailed
investigations
into
loss
remain
limited,
particularly
in
regions
with
varying
levels
urbanization.
Here,
we
take
Guangdong
Province,
China,
as
a
case
study
exemplify
how
affects
using
remotely
sensed
land
use
products.
We
adopted
geospatial
analysis,
correlation
indicators,
landscape
metrics
uncover
their
spatial
relationships
10-m
resolutions.
Results
showed
that
areas
increased
by
6335
km
Язык: Английский
Comparison of Landsat-8 and Sentinel-2 Imagery for Modeling Gross Primary Productivity of Tea Ecosystem
Deleted Journal,
Год журнала:
2024,
Номер
76(6), С. 1585 - 1605
Опубликована: Окт. 21, 2024
Accurately
estimating
gross
primary
productivity
(GPP)
is
essential
for
understanding
and
managing
carbon
dynamics
within
an
ecosystem.
This
study
investigates
the
potential
of
imagery
approaches,
specifically
utilizing
Landsat‑8
Sentinel‑2
data,
to
model
GPP
in
tea
ecosystem
subtropical
region
China.
While
extensive
research
has
focused
on
cereal
crop
ecosystems,
plantations,
despite
their
global
significance
as
a
cash
crop,
have
received
limited
attention
regarding
modeling.
To
address
this
gap,
field
campaign
was
carried
out
using
eddy
covariance
(EC)
system
monitor
net
exchange
(NEE)
plantations
at
scale.
Pruning
recognized
crucial
management
practice
growth
plants,
leading
significant
variations
NEE
its
components
(ecosystem
respiration
(RES)).
Consequently,
we
selected
pruning
period,
from
February
June
modeling
GPP.
Traditionally,
vegetation
photosynthesis
models
(VPMs)
based
data
required
parameterization,
posing
challenges
data-limited
scenarios.
In
study,
developed
parametric
indices
such
normalized
difference
index
(NDVI)
scaled
photochemical
reflectance
(sPRI),
which
describe
both
plant
structure
physiology
EC
Landsat-8/Sentinel‑2
data.
Results
indicate
that
while
NDVI
partially
captures
variation
(R2
=
0.60)
0.71)
imagery,
incorporating
sPRI
significantly
enhances
agreement
between
modeled
observed
(Landsat-8
:
R2
0.77,
Sentinel-2
0.80).
Furthermore,
comparing
estimates
derived
(GPPEC)
with
those
Sentinel
(GPPSentinel)
Landsat
(GPPLandsat)
reveals
GPPSentinel
closely
aligns
GPPEC
0.80),
outperforming
GPPLandsat
various
evaluation
(index
Agreement,
Kling-Gupta
efficiency,
mean
bias
error,
relative
percent).
Язык: Английский