Pedotransfer Functions for Soil Protein Based on Random Forest Modeling for Routine Soil Health Analysis
Communications in Soil Science and Plant Analysis,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 13
Published: Jan. 18, 2025
Autoclaved-citrate
extractable
soil
protein
(ACE
protein,
hereafter
referred
as
"soil
protein")
is
a
novel
biological
health
indicator
that
can
indirectly
capture
soil's
capacity
to
supply
nitrogen
(N)
but
relatively
expensive
assess.
To
explore
cost
saving
options,
dataset
of
4,171
samples
with
texture,
total
carbon
(C)
and
N,
carbon-to-nitrogen
ratio
(C/N),
permanganate-oxidizable
(POXC),
pH,
magnesium
(Mg)
iron
(Fe),
was
used
develop
three
pedotransfer
functions
for
protein.
These
included
full
random
forest
(RF)
model
utilizing
all
variables,
reduced
RF
multiple
linear
regression
employing
subset
the
variables.
Models
were
validated
using
US
North
American
Project
Evaluate
Soil
Health
Measurements
contained
1,406
samples.
The
root
mean
square
error
(RMSE)
by
41.7
53.4%
compared
models,
respectively.
Total
C
more
important
variable
in
than
N.
Additionally,
POXC,
sand,
clay,
Mg
Fe
found
be
model.
sensitive
management
at
36
57
long-term
experiments.
able
replicate
92%
those
significant
effects
on
new
function
improve
prediction
traditional
techniques
reduce
comprehensive
assessment.
Language: Английский
Developing a multifunctional indicator framework for soil health
Ecological Indicators,
Journal Year:
2025,
Volume and Issue:
175, P. 113515 - 113515
Published: April 26, 2025
Language: Английский
Spatially explicit heteroskedastic modeling for the Soil Health Assessment Protocol and Evaluation version 1.0S
Soil Science Society of America Journal,
Journal Year:
2025,
Volume and Issue:
89(3)
Published: May 1, 2025
Abstract
Greater
awareness
of
the
role
soil
management
in
achieving
global
production
goals
and
mitigating
emerging
environmental
challenges
has
focused
spotlight
on
health
assessment
interpretation.
The
site‐specific
characteristics
long
been
recognized
through
small‐scale
experimental
studies,
protocol
evaluation
(SHAPE)
tool
was
developed
to
facilitate
cross‐site
comparisons
provide
regionally
relevant
interpretation
by
accounting
for
factors.
Specifically,
SHAPE
version
1.0
account
primary
climate‐edaphic
factors
including
long‐term
climate
means
(temperature
precipitation)
edaphic
(soil
texture
suborder).
Version
1.0S
further
incorporates
a
spatially
explicit,
heteroskedastic
approach
into
Bayesian
linear
regression
model
refine
peer‐group
scoring
curves
benchmark
values
based
proximity.
This
captures
regional
variability
improves
relevance
interpretability
scores
values.
Language: Английский
Cropping system is a key determinant of soil health after accounting for environmental and edaphic variability
Geoderma,
Journal Year:
2025,
Volume and Issue:
458, P. 117330 - 117330
Published: May 10, 2025
Language: Английский
Conservation Reserve Program Soils Show Potential as a Soil Health Benchmark—A Southern Minnesota Case Study
Soil Systems,
Journal Year:
2025,
Volume and Issue:
9(2), P. 46 - 46
Published: May 12, 2025
Soil
health
is
an
important
concept
in
promoting
sustainable
agriculture
and
food
security,
yet
the
absence
of
universally
accepted
benchmarks
limits
its
utility
assessing
soil
function.
This
study
explored
use
Conservation
Reserve
Program
(CRP)
soils
as
a
potential
benchmark
to
quantify
gap
(SHG)
Faribault
County,
Minnesota.
Using
Management
Assessment
Framework
(SMAF),
we
evaluated
physical,
chemical,
biological,
nutrient
indicators
derive
combined
overall
score
that
was
used
SHG
(i.e.,
minus
test
soil)
between
CRP
corn-based
agricultural
production
(AP).
Three
paired
farms
were
assessed,
each
consisting
tall
grass
prairie
established
2001
adjacent
long-term
AP.
The
results
showed
higher
SMAF
scores
soils,
with
mean
0.09.
Land
had
strong
influence
on
scores,
largely
driven
by
biological
such
organic
carbon,
microbial
biomass
β-glucosidase
activity.
However,
demonstrated
limited
applicability
systems,
potentially
under-representing
their
status
due
SMAF’s
emphasis
lack
ecosystem-specific
factors
pH.
Language: Английский
A data‐driven topsoil classification framework to support soil health assessment in Minnesota
Agrosystems Geosciences & Environment,
Journal Year:
2024,
Volume and Issue:
7(2)
Published: May 28, 2024
Abstract
Soil
health
assessments
aim
to
quantify
soil
status
using
indicators
linked
ecosystem
services
such
as
yield,
nutrient
cycling,
water
or
carbon
storage.
Many
are
related
biological
processes,
which
can
be
challenging
interpret
because
they
sensitive
not
only
management,
but
also
nonmanagement
variables
inherent
properties,
topography,
and
climate.
Existing
studies
address
this
challenge
by
grouping
similar
soils
taxonomy,
geography,
a
combination
of
these
other
for
assessment.
We
investigated
whether
based
on
multiple
quantitative
topsoil
properties
could
an
alternative
taxonomic
geographic
groups.
used
unsupervised
classification
algorithm,
k
‐means,
cluster
publicly
available
climate
data
Minnesota.
Clustering
into
eight
conceptual
groups
(“clusters”)
10
was
determined
the
optimal
algorithm
output.
evaluated
ability
our
clusters
methods
explain
variance
in
indicators.
found
Major
Land
Resource
Area
(MLRA)
performed
best,
explaining
much
more
than
groupings
five
The
distinguish
zones
variation
at
field
scale,
MLRAs
account
broader
scale
landscape
factors.
approach
we
describe
is
flexible
applied
different
locations
scales
produce
associated
maps
support
test
sampling
interpretation
scale.
Language: Английский
Cross‐correlating soil aggregate stability methods to facilitate universal interpretation
Agricultural & Environmental Letters,
Journal Year:
2024,
Volume and Issue:
9(2)
Published: Aug. 16, 2024
Abstract
Aggregate
stability
is
a
critical
physical
indicator
of
soil
health.
However,
multiple
methods
are
used
for
measuring
aggregate
stability,
making
it
difficult
to
compare
results
and
limiting
universal
interpretations
in
health
assessment
frameworks
like
Soil
Health
Assessment
Protocol
Evaluation.
We
cross‐correlated
three
common
water‐stable
(WSA
CASH
,
WSA
ARS
SLAKES
)
using
dataset
nearly
1400
samples
developed
pedotransfer
functions
random
forest
models
evaluate
method
performance.
found
that
the
can
be
reasonably
cross
correlated
through
because
they
use
similar
processes
estimating
strength.
Conversely,
not
transferable.
suggest
most
established
best
reference
analysis
frameworks.
Interpretation
consistency
will
lead
more
robust
comparisons
as
key
indicator.
Core
Ideas
Different
approaches
prevent
generalized
result
interpretation.
The
wet
sieve
procedure
proposed
Other
variably
with
.
Language: Английский
Four approaches to setting soil health targets and thresholds in agricultural soils
Amanda Matson,
No information about this author
Maria Fantappiè,
No information about this author
Grant A. Campbell
No information about this author
et al.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
371, P. 123141 - 123141
Published: Nov. 7, 2024
Language: Английский
Our connections to soil health through simile
Agricultural & Environmental Letters,
Journal Year:
2024,
Volume and Issue:
9(2)
Published: Oct. 24, 2024
Abstract
Healthy
soil
supports
the
global
carbon
cycle,
water
and
many
nutrient
cycles
to
stabilize
ecosystems.
We
take
these
processes
for
granted,
yet,
disruptions
would
be
devastating
if
soils
became
defunct
plants
could
not
photosynthesize.
As
with
health
of
human
body
which
we
rely
on
carry
out
our
daily
lives,
so
too
does
give
essential
life
world.
Strong
corollaries
exist
between
functioning
body.
This
essay
explores
two
bodies
through
simile.
Just
as
wish
others
good
health,
should
each
us
(and
society)
a
world
excellent
health.
A
foundational
pathway
laid
by
strong
science,
but
pitched
engage
more
public
in
this
effort
foster
better
might
non‐traditional
impressionistic
storylines.
Language: Английский