Future
global
climate
changes
are
expected
to
increase
soil
organic
carbon
(SOC)
decomposition.
However,
the
combined
effect
of
C
inputs,
land
use
changes,
and
on
SOC
turnover
is
still
unclear.
Exploring
this
SOC-climate-land
interaction
allows
us
understand
stabilization
mechanisms
examine
whether
can
act
as
a
source
or
sink
for
CO2.
The
current
study
estimates
sequestration
potential
in
topsoil
layer
Danish
agricultural
lands
by
2038,
considering
change
future
scenarios
using
Rothamsted
Carbon
(RothC)
model.
Additionally,
we
quantified
loss
vulnerability
existing
projected
based
capacity
stabilize
OC.
We
used
quantile
random
forest
model
estimate
initial-SOC
stock
2018,
simulated
with
RothC
business-as-usual
(BAU)
scenario
crop
rotation
(LUC)
under
conditions
2038.
compared
stocks
saturation
deficit.
initial
ranged
from
10
181
Mg
ha-1
different
parts
country.
projections
showed
8.1
BAU
6
after
LUC
adoption.
This
was
strongly
influenced
warmer
temperatures
clay
content.
proposed
became
mitigation
measure
against
negative
accumulation,
especially
sandy
soils
high
livestock
density.
A
accumulation
C-saturated
suggests
an
non-complexed
SOC,
which
vulnerable
being
lost
into
atmosphere
With
these
results,
provide
information
prioritize
areas
where
management
practices
be
adopted
enhance
stable
forms
preserve
labile-existing
stocks.
Geoderma,
Год журнала:
2023,
Номер
434, С. 116472 - 116472
Опубликована: Апрель 19, 2023
Soil
organic
matter
(SOM)
is
indispensable
for
soil
health
and,
in
the
context
of
climate
change,
considered
a
significant
CO2
sink.
Improving
agricultural
management
to
increase
long-term
carbon
(SOC)
stocks
mitigating
change
requires
tools
that
estimate
short
and
long-cycling
SOM
pools.
In
this
study,
we
analyzed
changes
fast-cycling
particulate
(POM)
slow-cycling
mineral-associated
(MAOM)
induced
by
common
practices,
i.e.,
fertilization
crop
rotation
topsoils
from
25
Central
European
field
experiments.
When
relating
MAOM-C
contents
recent
saturation
levels,
estimated
sequestration
potentials
were
only
met
coarse-textured
soils
under
appropriate
or
fine-textured
extreme
fertilization.
texture,
fertilization,
below-ground
OC
inputs
through
root
exudates
biomass
decisive
estimating
MAOM-C,
allowing
calibration
mixed-effects
model
(Nakagawa's:
marginal
R2m
=
0.6,
conditional
R2c
0.89).
While
models
containing
texture
parameters
can
be
validated
generalized
(R2
0.43),
input
predictor
substantially
decreases
generalizability
0.14).
According
quantile
regression
models,
average
difference
concentration
between
well-managed
control
site
(without
fertilization)
4.1
mg
g−1
soil.
dependence
on
bulk
density,
amounts
1.38
–
1.84
t
ha−1
5.06
10.1
CO2-equivalents.
POM-C
was
difficult
predict
0.28),
presumably
due
strong
POM
dynamics.
The
/
ratio
inform
effects
practices
before/after
comparisons.
Under
increasing
SOC
concentration,
an
indicates
do
not
transfer
real
sequestration.
Because
depends
also
covariate
limiting
it
comparisons
sites
with
different
textures.
However,
our
data
indicate
experiment
constantly
approximate
when
POM-C/MAOM-C
>0.35.
This
might
used
as
goal
prevent
over-fertilization
N
loss,
especially
soils.
Thereby,
help
optimize
support
mitigation
strategies
Europe.
New Biotechnology,
Год журнала:
2024,
Номер
81, С. 20 - 31
Опубликована: Март 8, 2024
In
recent
years,
machine
learning
(ML)
algorithms
have
gained
substantial
recognition
for
ecological
modeling
across
various
temporal
and
spatial
scales.
However,
little
evaluation
has
been
conducted
the
prediction
of
soil
organic
carbon
(SOC)
on
small
data
sets
commonly
inherent
to
long-term
research.
this
context,
performance
ML
SOC
never
tested
against
traditional
process-based
approaches.
Here,
we
compare
algorithms,
calibrated
uncalibrated
models
as
well
multiple
ensembles
their
in
predicting
using
from
five
experimental
sites
(comprising
256
independent
points)
Austria.
Using
all
available
data,
ML-based
approaches
Random
forest
support
vector
machines
with
a
polynomial
kernel
were
superior
models.
performed
similar
or
worse
when
number
training
samples
was
reduced
leave-one-site-out
cross
validation
applied.
This
emphasizes
that
is
strongly
dependent
data-size
related
quality
information
following
well-known
curse
dimensionality
phenomenon,
while
accuracy
significantly
relies
proper
calibration
combination
different
Our
study
thus
suggests
superiority
at
scales
where
larger
datasets
are
available,
tools
targeting
exploration
underlying
biophysical
biochemical
mechanisms
dynamics
soils.
Therefore,
recommend
applying
combine
advantages
both
Agriculture,
Год журнала:
2025,
Номер
15(5), С. 567 - 567
Опубликована: Март 6, 2025
This
review
is
motivated
by
the
urgent
need
to
improve
soil
organic
carbon
(SOC)
assessment
methods,
which
are
vital
for
enhancing
health,
addressing
climate
change,
and
promoting
farming.
By
employing
a
structured
approach
that
involves
systematic
literature
search,
data
extraction,
analysis,
86
relevant
studies
were
identified.
These
evaluated
address
following
specific
research
questions:
(a)
What
state-of-the-art
approaches
in
sampling,
modeling,
acquisition?
(b)
key
challenges,
open
issues,
potential
advancements,
future
directions
needed
enhance
effectiveness
of
farming
practices?
The
findings
indicate
while
traditional
SOC
techniques
remain
foundational,
there
significant
shift
towards
incorporating
model-based
machine
learning
models,
proximal
spectroscopy,
remote
sensing
technologies.
emerging
primarily
serve
as
complementary
laboratory
analyses,
overall
accuracy
reliability
assessments.
Despite
these
challenges
such
spatial
temporal
variability,
high
financial
costs,
limitations
measurement
continue
hinder
progress.
also
highlights
necessity
scalable,
cost-effective,
precise
tools,
alongside
supportive
policies
incentives
encourage
farmer
adoption.
Finally,
development
“System-of-Systems”
integrates
sensing,
modeling
offers
promising
pathway
balancing
cost
accuracy,
ultimately
supporting
practices.
Geoderma,
Год журнала:
2023,
Номер
433, С. 116466 - 116466
Опубликована: Апрель 5, 2023
Although
conservation
agriculture
practices
evidently
facilitate
the
build-up
of
soil
organic
carbon
(SOC),
sequestration
potential
arable
soils
is
strongly
mediated
by
edaphic
attributes;
so
far,
their
interplay
not
well
understood.
Deciphering
these
drivers
however
important
to
correctly
estimate
SOC
storage
potentials
in
and
derive
effective
strategies
for
implementation
successful
measures.
By
using
an
on-farm
approach,
we
conducted
a
pairwise
comparison
21
conventional
highly
innovative
'pioneer'
farms
across
wide
range
types
evaluated
leverage
site
attributes
management
such
as
crop
diversity,
reduced
tillage,
fertilization,
cover
cropping
inter
on
potential.
While
most
pioneer
proved
beneficial
–
particularly
diversity
our
results
clearly
show
that
texture
was
significant
shaping
factor.
Coarse-textured
had
significantly
higher
accrual
compared
medium-
fine-textured
soils.
The
initial
content
also
effect
prevalent
potentials.
Based
fact
clear
predominance
natural
conditions
over
impacts
enhancing
soils,
call
critical
discussion
farming
schemes.
As
similar
efforts
costs
implementing
measures
will
have
distinctive
gains,
dependent
environmental
constraints
beyond
farmers'
influence,
advocate
harmonizing
both
activity-
results-based
approaches
maximize
ecological
effectiveness
spatial
dissemination
health
innovations.
Carbon
schemes
thus
need
reconsideration
within
state-of-the-art
scientific
framework
saturation
behaviour
order
properly
account
biophysical
when
formulating
soil-related
climate
change
mitigation
policies.
Soil and Tillage Research,
Год журнала:
2023,
Номер
234, С. 105862 - 105862
Опубликована: Авг. 26, 2023
Transition
towards
soil-health
sustaining
crop
production
is
at
the
core
of
climate
change
mitigation
and
adaptation
efforts
in
agriculture.
Improving
soil
conditions
for
resilience
to
variable
extreme
weather
are
among
main
expectations
farmers
implementing
sustainable
management
practices.
In
this
study,
we
evaluate
whether
transition
from
conventional
arable
oriented
farming
systems
restores
pore
characteristics
non-arable
natural
soils
identify
factors
predominantly
shaping
different
domains.
Pore
size
distributions
(PSD)
20
sites
with
diverse
types
adjacent
fields
(1)
standard
arable,
(2)
health-oriented
pioneer
(3)
reference
were
measured.
Based
on
parametric
PSD
descriptors,
management-responsive
functional
classes
role
textural,
biochemical
structural
drivers
domains
analysed
by
a
novel
data-driven
evaluation
method.
Parametric
descriptors
indicate
an
evolution
non-disturbed
intensively
disturbed
larger
pores
within
less
heterogeneous
domain.
These
shifts
go
along
medium-sized
storage
pores,
which
overall
was
most
sensitive
fraction.
Our
approach
confirmed
partial
regeneration
The
responsive
domain
found
range
∼0.3–0.5
µm.
SOC-to-clay
ratio
predominant
driver
porosity
both
soils.
On
contrary,
texture
exerted
control
pattern
over
entire
systems.
Overall,
our
study
demonstrated
that
could
effectively
advance
managing
functionally
relevant
promoting
biological
agents
structure
formation.
The Science of The Total Environment,
Год журнала:
2023,
Номер
905, С. 166921 - 166921
Опубликована: Сен. 12, 2023
Future
global
climate
changes
are
expected
to
increase
soil
organic
carbon
(SOC)
decomposition.
However,
the
combined
effect
of
C
inputs,
land
use
changes,
and
on
SOC
turnover
is
still
unclear.
Exploring
this
SOC-climate-land
interaction
allows
us
understand
stabilization
mechanisms
examine
whether
can
act
as
a
source
or
sink
for
CO2.
The
current
study
estimates
sequestration
potential
in
topsoil
layer
Danish
agricultural
lands
by
2038,
considering
change
future
scenarios
using
Rothamsted
Carbon
(RothC)
model.
Additionally,
we
quantified
loss
vulnerability
existing
projected
based
capacity
stabilize
OC.
We
used
quantile
random
forest
model
estimate
initial
stock
2018,
simulated
with
RothC
business-as-usual
(BAU)
scenario
crop
rotation
(LUC)
under
conditions
2038.
compared
stocks
saturation
deficit.
ranged
from
10
181
Mg
ha-1
different
parts
country.
projections
showed
8.1
BAU
6
after
LUC
adoption.
This
was
strongly
influenced
warmer
temperatures
clay
content.
proposed
became
mitigation
measure
against
negative
accumulation,
especially
sandy
soils
high
livestock
density.
A
accumulation
C-saturated
suggests
an
non-complexed
SOC,
which
vulnerable
being
lost
into
atmosphere
With
these
results,
provide
information
prioritize
areas
where
management
practices
be
adopted
enhance
stable
forms
preserve
labile-existing
stocks.