Frontiers in Plant Science,
Год журнала:
2025,
Номер
16
Опубликована: Апрель 16, 2025
This
study
investigated
the
impact
of
various
tillage
modes
on
soil
carbon
(C)
components,
crop
yield,
enzyme
activity,
and
ecosystem
multifunctionality
(EMF)
in
North
China
Plain
(NCP),
aiming
to
determine
most
effective
practice
for
C
sequestration
region.
Field
experiments
were
conducted
from
2016
using
a
split-plot
design
that
included
rotary
(RT)
deep
(DT)
during
wheat
season
no-tillage
(NT),
subsoiling
in-row
(SIR),
inter-row
(SBR)
maize
season.
Related
based
total
amount
straw
returned.
Soil
bulk
density
(BD),
organic
(SOC)
storage,
activities,
quality
index
(SQI),
EMF,
yield
measured
analyzed.
Compared
tillage-no-tillage
(RT-NT),
BD
0-40
cm
layer
decreased
under
other
treatments
2018-2019.
The
component
content
with
depth
across
all
treatments.
Treatments
incorporating
led
higher
SOC,
labile
(LOC),
non-LOC,
microbial
biomass
(MBC)
20-40
layer.
DT-SBR
DT-SIR
increased
SOC
storage.
Enzyme
activities
highest
0-20
RT-SBR
RT-SIR,
while
layer,
activity
peaked
DT-SIR.
SQI
value
was
observed
RT-SIR
both
years.
Meanwhile,
EMF
values
30-40
2018,
ranged
-0.79
-0.08.
Key
factors
influencing
MBC,
LOC,
dissolved
(DOC),
showing
strong
positive
correlation
SQI.
Subsoiling
enhanced
RT
DT
being
6697
6587
kg
ha-1,
respectively.
In
conclusion,
promoted
transformation
SQI,
EMF.
These
benefits
contributed
greater
deeper
layers,
offering
sustainable
approach
management
fluvo-aquic
soils
NPC.
European Journal of Soil Science,
Год журнала:
2024,
Номер
75(2)
Опубликована: Март 1, 2024
Abstract
Cover
crops
(CC)
offer
numerous
benefits
to
agroecosystems,
particularly
in
the
realm
of
soil
organic
carbon
(SOC)
accrual
and
loss
mitigation.
However,
uncertainties
persist
regarding
extent
which
CCs,
co‐occurrence
with
environmental
factors,
influence
SOC
responses
associated
C
pools.
We
therefore
performed
a
weighted
meta‐analysis
on
effects
CCs
mineral‐associated
(MAOC),
particulate
(POC)
microbial
biomass
(MBC)
pool
compared
no
CC
cultivation
arable
cropland.
Our
study
summarized
global
research
comparable
management,
focus
climatic
zones
representative
Europe,
such
as
arid,
temperate
boreal
climates.
In
this
meta‐analysis,
we
included
71
independent
studies
from
61
articles
published
between
1990
June
2023
several
scientific
grey
literature
databases.
Sensitivity
analysis
was
conducted
did
not
identify
any
significant
publication
bias.
The
results
revealed
that
had
an
overall
statistically
positive
effect
pools,
increasing
MAOC
by
4.8%
(95%
CI:
0.6%–9.4%,
n
=
16),
POC
23.2%
13.9%–34.4%,
39)
MBC
20.2%
11.7%–30.7%,
30)
top
soil,
cultivation.
Thereby,
feed
into
stable
well
more
labile
dependent
clay
content
initial
concentration,
whereas
influenced
moderators
peak
experiment
duration.
For
MBC,
for
example,
content,
crop
rotation
duration
tillage
depth
were
identified
important
drivers.
Based
our
pools
moderators,
needs.
A
pressing
need
additional
experiments
exploring
found,
particular
POC.
Further,
emphasize
necessity
conducting
European
spanning
north–south
gradient.
conclusion,
show
is
key
strategy
promote
different
Additionally,
provides
new
insights
state
knowledge
changes
offering
quantitative
summary
shedding
light
sources
heterogeneity
affecting
these
findings.
Environmental Sciences Europe,
Год журнала:
2024,
Номер
36(1)
Опубликована: Апрель 21, 2024
Abstract
Obtaining
accurate
spatial
maps
of
soil
organic
carbon
(SOC)
in
farmlands
is
crucial
for
assessing
quality
and
achieving
precision
agriculture.
The
cropping
system
an
important
factor
that
affects
the
cycle
farmlands,
different
agricultural
managements
under
systems
lead
to
heterogeneity
SOC.
However,
current
research
often
ignores
differences
main
controlling
factors
SOC
systems,
especially
when
pattern
complex,
which
not
conducive
farmland
zoning
management.
This
study
aims
(i)
obtain
distribution
map
six
by
using
multi-phase
HJ-CCD
satellite
images;
(ii)
explore
stratified
heterogeneous
relationship
between
environmental
variables
Cubist
model;
(iii)
predict
Xiantao,
Tianmen,
Qianjiang
cities,
are
core
areas
Jianghan
Plain,
were
selected
as
area.
Results
showed
content
rice–wheat
rotation
was
highest
among
systems.
model
outperformed
random
forest,
ordinary
kriging,
multiple
linear
regression
mapping.
results
system,
climate,
attributes,
vegetation
index
influencing
farmlands.
different.
Specifically,
summer
crop
types
had
a
greater
influence
on
variations
than
winter
crops.
Paddy–upland
more
affected
river
distance
NDVI,
while
upland–upland
irrigation-related
factors.
work
highlights
differentiated
provides
data
support
can
improve
prediction
accuracy
complex
