Intermittent deep tillage increases soil quality and ecosystem multifunctionality in a Fluvo-aquic soil on the North China Plain
Journal of Environmental Management,
Год журнала:
2025,
Номер
374, С. 124085 - 124085
Опубликована: Янв. 17, 2025
Язык: Английский
Carbon emissions from agricultural land use in China: spatio-temporal dynamics and pathways to neutrality
Frontiers in Environmental Science,
Год журнала:
2025,
Номер
13
Опубликована: Март 31, 2025
This
research
analyzes
the
spatio-temporal
evolution
and
driving
factors
of
agricultural
land
use
carbon
emissions
(ALUCE)
in
China
from
2013
to
2022,
utilizing
LMDI
STIRPAT
models.
Key
findings
include:
(1)
Significant
regional
disparities
exist,
with
eastern
provinces
exhibiting
high
increasing
ALUCE
levels,
while
western
remain
low
stable,
necessitating
targeted
strategies
technological
support.
(2)
Total
decreased
by
8.6%,
highlighting
need
optimize
emission
sources
for
sustainable
agriculture.
(3)
inequality
is
stable
yet
slightly
variable,
driven
inter-provincial
differences,
spatial
polarization
evident.
(4)
Agricultural
production
efficiency
inhibits
ALUCE,
output
increases
labor
scale
positively
contribute.
A
novel
environmental
organizational
framework
proposed
reduce
offering
policy
implications
developing
countries
focused
on
strategies,
technical
support,
practices.
Язык: Английский
Positive sweet corn response with selected climate‐smart agricultural practices
Agrosystems Geosciences & Environment,
Год журнала:
2024,
Номер
7(4)
Опубликована: Дек. 1, 2024
Abstract
To
sustain
agriculture
for
future
generations
and
reduce
the
adverse
impacts
on
soil
health
environment,
there
is
a
need
to
adopt
sustainable
climate‐smart
agricultural
practices.
A
field
experiment
was
conducted
study
effects
of
organic
amendments
(chicken
dairy
manures
biochar)
physicochemical
properties,
sweet
corn
(
Zea
mays
)
growth,
yield
parameters
at
Prairie
View
A&M
University,
Texas.
Two
rates
biochar
(2.5
5
t
ha
−1
two
types
manure
dairy)
applied
three
(0,
224,
448
kg
total
N
were
used
in
factorial
design
with
replications.
Plant
height,
period
each
vegetative
growth
stage,
leaf
plant
analysis
development,
time
reach
50%
tasseling
silking
cob
length,
diameter,
sugar
content,
biomass
measured.
The
results
showed
that
significantly
affected
by
rate,
while
diameter
rates.
Sweet
reached
stages
earlier
chicken
manure‐treated
plots
than
plots.
However,
content
both
Furthermore,
revealed
strong
positive
correlation
between
height
biomass;
however,
negative
days.
Soil
phosphorus,
nitrogen,
potassium
had
relatively
parameters.
Findings
different
influenced
nutrient
status,
highlighting
importance
adopting
practices
improved
crop
health.
Язык: Английский
Segmentation and Proportion Extraction of Crop, Crop Residues, and Soil Using Digital Images and Deep Learning
Agriculture,
Год журнала:
2024,
Номер
14(12), С. 2240 - 2240
Опубликована: Дек. 6, 2024
Conservation
tillage
involves
covering
the
soil
surface
with
crop
residues
after
harvest,
typically
through
reduced
or
no-tillage
practices.
This
approach
increases
organic
matter,
improves
structure,
prevents
erosion,
reduces
water
loss,
promotes
microbial
activity,
and
enhances
root
development.
Therefore,
accurate
information
on
residue
coverage
is
critical
for
monitoring
implementation
of
conservation
study
collected
“crop–crop
residues–soil”
images
from
wheat-soybean
rotation
fields
using
mobile
phones
to
create
calibration,
validation,
independent
validation
datasets.
We
developed
a
deep
learning
model
named
crop–crop
residue–soil
segmentation
network
(CCRSNet)
enhance
performance
cropland
image
proportion
extraction.
The
accuracy
extraction
by
extracting
integrating
shallow
features
attention
modules
capture
multi-scale
contextual
information.
Our
findings
indicated
that
(1)
lightweight
models
outperformed
deeper
networks
segmentation.
When
CCRSNet
employed
backbone
(ResNet50),
its
feature
capability
was
inferior
lighter
(VGG16).
(2)
integrated
achieved
high
performance.
Using
VGG16
as
backbone,
an
mIoU
92.73%
PA
96.23%
in
dataset,
surpassing
traditional
SVM
RF
models.
RMSE
ranged
1.05%
3.56%.
These
results
demonstrate
potential
accurate,
rapid,
low-cost
detection
coverage.
However,
generalizability
robustness
depend
diversity
calibration
Further
experiments
across
different
regions
crops
are
required
validate
this
method’s
applicability
Язык: Английский
Scrutinizing Agricultural Sectors to Uncover the Existing Challenges for the Goal of Climate Change Mitigation Targets
Frontiers.,
Год журнала:
2024,
Номер
4(4), С. 112 - 126
Опубликована: Дек. 9, 2024
Agriculture
acts
as
a
crucial
facilitator
while
currently
being
the
primary
victim
of
climate
change.
This
review
paper
examines
agricultural
sectors
role
in
achieving
change
mitigation
targets,
focusing
on
critical
challenges
and
proposing
actionable
solutions.
The
also
highlights
need
for
system-based
approach
that
integrates
technological
innovation,
sustainable
land
management,
policy
interventions.
It
underscores
importance
cross-sector
collaboration,
economic
incentives
robust
monitoring
frameworks
to
overcome
barriers
accelerates
sector’s
transition
towards
sustainability.
Climate
(CC)
is
one
most
pressing
confronting
global
community
at
present
constitutes
significant
jeopardy
existence,
nutritional
stability,
progression
numerous
nations.
fluctuation
exerts
an
impact
all
nations
regardless
their
developmental
status;
it
unbounded
challenge.
important
use
regulation
alongside
soil
water
conservation
methodologies
be
augmented
mitigate
ramification
change,
specifically
management
floods,
erosion
landslides.
Different
approaches
are
followed
current
challenging
changes;
such
irrigation
strategy,
recycling
bio-wastes,
incorporation
crop
residue
into
soil,
well
as,
managing
moisture
strategies.
Язык: Английский