Sustainability of Maize–Soybean Rotation for Future Climate Change Scenarios in Northeast China
Rui Liu,
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Hongrun Liu,
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Tianqun Wang
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et al.
Journal of Agronomy and Crop Science,
Journal Year:
2025,
Volume and Issue:
211(2)
Published: March 1, 2025
ABSTRACT
Climate
change
poses
a
global
challenge
to
agricultural
production
and
food
security,
especially
in
developing
countries.
In
Northeast
China,
major
grain‐producing
region,
the
Maize–Soybean
rotation
is
crucial
for
sustainable
development.
However,
previous
studies
have
mainly
focused
on
single
crops
lacked
attention
soil
health
regional
scale
analysis.
This
study
utilises
APSIM
model
predict
crop
yields
organic
carbon
(SOC)
under
two
Representative
Concentration
Pathways
4.5
8.5
(RCP4.5
RCP8.5)
future
climate
scenarios
different
latitude
regions
of
China.
The
result
shows
that
has
significant
spatial
temporal
variations
yield
storage
system.
Compared
baseline
(1980–2010),
maize
from
−11.6
42.8
kg
10a
−1
(RCP4.5)
7.1
39.8
(RCP8.5),
soybean
vary
−13.1
3.9
−16.2
−5.6
(RCP8.5).
SOC
increases
slowly
0
20
cm
decreases
40
cm,
resulting
decrease
21–334
ha
26–280
(RCP8.5)
predicted
storage.
PLS‐PM
results
show
precipitation
negative
impact
accumulation,
temperature
rise
RCP8.5
scenario
positively
correlated
with
yields,
correlation
stronger
RCP8.5,
which
higher
explanation
changes.
significantly
affects
stocks
system
Northeastern
during
extreme
weather.
Therefore,
adaptation
strategies
should
fit
local
needs,
early‐maturing
opt
drought‐resistant,
early
varieties
employ
conservation
tillage
water‐saving
methods,
while
medium
late‐maturing
areas
select
late
varieties,
adjust
sowing
enhance
fertiliser
efficiency.
Language: Английский
Enhancing soil organic carbon prediction by unraveling the role of crop residue coverage using interpretable machine learning
Geoderma,
Journal Year:
2025,
Volume and Issue:
455, P. 117225 - 117225
Published: Feb. 21, 2025
Language: Английский
Enhancing proximal and remote sensing of soil organic carbon: A local modelling approach guided by spectral and spatial similarities
Qi Sun,
No information about this author
Pu Shi
No information about this author
Geoderma,
Journal Year:
2025,
Volume and Issue:
457, P. 117298 - 117298
Published: April 22, 2025
Language: Английский
Improving spatial prediction of soil organic matter in typical black soil area of Northeast China using structural equation modeling integration framework
Computers and Electronics in Agriculture,
Journal Year:
2025,
Volume and Issue:
236, P. 110404 - 110404
Published: April 24, 2025
Language: Английский
Effects of Conservation Tillage on Agricultural Green Total Factor Productivity in Black Soil Region: Evidence from Heilongjiang Province, China
Zhang Mei,
No information about this author
Hanye Zhang,
No information about this author
Deng Yun
No information about this author
et al.
Land,
Journal Year:
2024,
Volume and Issue:
13(8), P. 1212 - 1212
Published: Aug. 6, 2024
The
implementation
of
conservation
tillage
is
crucial
for
the
preservation
and
utilization
black
soil.
This
study
examined
297
new
agricultural
management
entities
in
five
pilot
counties
soil
region
northeast
China.
Using
SBM-Undesirable
model,
this
measured
evaluated
green
total
factor
productivity
(AGTFP)
these
entities.
We
further
employed
Tobit
model
to
explore
impact
on
AGTFP.
findings
revealed
that
average
AGTFP
value
sample
was
0.4364,
indicating
a
generally
low
degree
exhibited
significant
variation.
Improvement
input
indicators
(such
as
machinery)
undesirable
output
net
carbon
emissions)
particularly
needed.
Additionally,
had
positive
AGTFP,
with
higher
number
applied
technologies
correlating
increased
productivity.
Material
subsidies
offered
greater
direct
cost
relief
stronger
effect
comparison
cash
subsidies.
Furthermore,
apart
from
policy
factors,
key
production
operation
characteristics—such
access
materials—also
significantly
influenced
results
offer
valuable
decision-making
framework
scientific
reference
countries
regions
worldwide,
enabling
them
enhance
sustainable
vital
resource.
Language: Английский