Frontiers in Environmental Science,
Год журнала:
2023,
Номер
11
Опубликована: Ноя. 28, 2023
Soils
are
increasingly
acknowledged
as
complex
systems,
with
potential
non-linear
behaviors
having
important
implications
for
ecosystem
and
Earth
system
dynamics,
but
soil
models
could
improve
adoption
of
analytical
tools
from
the
broader
interdisciplinary
field
systems.
First-
new-generation
formulate
many
pools
using
first-order
decomposition,
which
tends
to
generate
simpler
yet
numerous
parameters.
Systems
or
complexity
theory,
developed
across
various
scientific
social
fields,
may
help
robustness
models,
by
offering
consistent
assumptions
about
openness,
dynamic
instability
distance
commonly
assumed
stable
equilibria,
well
new
formulating
more
generalized
model
structures
that
reduce
parameter
space
yield
a
wider
array
possible
outcomes,
such
quickly
shrinking
carbon
stocks
pulsing
lagged
respiration.
This
paper
builds
on
recent
perspectives
modeling
ask
how
functions
can
be
better
understood
applying
systems
lens.
We
synthesized
previous
literature
reviews
concepts
dynamical
in
theoretical
ecology
sciences
broadly
identify
areas
further
study
under
uncertainty
human
activities
management.
Three
broad
were
highlighted:
variable
memory
state-dependence,
oscillations,
tipping
points
hysteresis.
These
themes
represent
dynamics
resulting
existing
observations,
reversibility
organo-mineral
associations,
aggregate-
pore
hierarchies,
persistent
wet-dry
cycles,
higher-order
microbial
community
predator-prey
interactions,
cumulative
legacy
land
use
history,
management
interactions
and/or
cooperation.
discuss
these
aspects
contribute
useful
tools,
metrics,
frameworks
integrate
uncertainties
future
states,
ranging
micro-to
regional
scales.
Overall,
this
highlights
benefits
incorporating
spatial
heterogeneity
instabilities
into
representations
whole
processes,
contributes
modern
synthetic
review
connects
similar
ideas
disciplines
their
work
findings.
Additionally,
it
advocates
transdisciplinary
collaborations
between
natural
scientists,
extending
research
anthropedology
biogeosociochemistry.
Sustainability Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 4, 2025
Abstract
This
paper
highlights
the
need
to
consider
processes
and
relations
in
political,
knowledge,
technical
socio-material
complex
that
underpins
emergence
of
a
soil-based
carbon
economy.
economy,
characterised
by
proliferation
voluntary
markets,
farming
policies,
supply
chain
other
initiatives,
operates
through
private
mechanisms
(offsetting,
insetting)
public
policy
instruments.
emerging
economy
entails
number
inherent
political
knowledge
contestations
associated
with
claims
around
mitigation
potential
soil
sequestration
farming.
We
adapt
social
ecological
systems
(SES)
framework
understand
these
draw
on
corpus
agricultural,
ecological,
science
literatures
identify
pose
critical
questions
for
future
research.
conceptualise
as
interactions
outcomes
among
actors
embedded
within
defined
SES
(governance,
resource
systems,
units,
actors).
Five
themes
are
identified:
Marketisation,
abstraction
technogovernance;
Power
expert
knowledge;
Disputing
meaning
value
carbon;
Disruptions:
new
interfaces,
configurations
actor
relations;
Uncertainties
capabilities.
These
underpin
research
agenda
proposal.
argue
an
integrative
conceptualisation
is
essential
equitably
account
broad
mix
social,
technical,
economic,
contexts
which
present
options
operationalising
conceptualisation.
Soil Biology and Biochemistry,
Год журнала:
2024,
Номер
197, С. 109535 - 109535
Опубликована: Июль 14, 2024
Microbial
processes
mediating
the
cycling
of
carbon
and
nutrients
in
soils
are
complex
thus
difficult
to
predict
with
mathematical
models.
Such
complexity
arises
because
biological
ecological
dynamics
interact
physical
soil
shape
patterns
resource
acquisition
use,
ultimately
organic
matter
stabilization
soil.
In
article
collection
"Advances
Modelling
Soil
Dynamics"
(https://www.sciencedirect.com/special-issue/10DG8MTGCCF),
novel
approaches
tackle
these
complexities
presented.
This
perspective
summarizes
their
findings
by
highlighting
theoretical
advances
outstanding
challenges
modelling
microbial
constraints.
The Science of The Total Environment,
Год журнала:
2024,
Номер
951, С. 175476 - 175476
Опубликована: Авг. 13, 2024
Terrestrial
plant
and
soil
organic
carbon
stocks
are
critical
for
regulating
climate
change,
enhancing
fertility,
supporting
biodiversity.
While
a
global-scale
decoupling
between
has
been
documented,
the
hotspots
interconnections
these
two
compartments
across
Africa,
second-largest
continent
on
planet,
have
significantly
overlooked.
Here,
we
compiled
over
10,000
existing
observations
to
generate
high-resolution
map,
illustrating
distribution
pattern
of
in
Africa.
We
then
showed
that
above-
below-ground
positively
correlated
with
Both
shared
major
tropical
regions.
Our
study
provides
insights
into
spatial
essential
conservation
safeguarding
terrestrial
amidst
challenges
change.
European Journal of Soil Science,
Год журнала:
2024,
Номер
75(6)
Опубликована: Сен. 1, 2024
Abstract
Over
the
last
decade,
fact
that
novel
perspectives
on
various
aspects
of
soils
have
remained
strongly
controversial
long
after
they
emerged,
without
any
kind
consensus
being
reached
about
them,
raises
question
underlying
reasons
for
this
phenomenon.
The
on‐going
debate
usefulness
aggregates
to
describe
functions
illustrates
some
key
question.
Similar
debates
other
soil‐related
issues
also
appear
stalled,
or
been
a
time
and
are
only
now
moving
forward.
This
might
suggest
fundamental
aversion
change,
which
when
it
gets
overcome,
does
so
slowly.
However,
at
same
time,
somewhat
surprisingly,
researchers
willing
quickly
seize
opportunities
provided
by
new
idea
topics.
In
context,
objective
present
article
is
analyse
in
detail
what
may
cause
such
contrasting
reactions
novelty.
We
consider,
then
ultimately
dismiss,
explanations
based
how
not
actively
promoted,
access
suitable
technology
impede
slow
down
perspective
shifts
whether
recent
theory
‘slowed
canonical
progress
large
fields
science’
applies
relatively
small
soil
science
community.
Then,
taking
as
case
point,
we
come
realize
extent
mandates
an
interdisciplinary
approach
determines
adopted
quickly.
From
standpoint,
envisage
number
practical
actions
could
be
taken
facilitate
future
emergence
research
efforts,
argue
absolutely
essential
successfully
tackle
enormous
complexity
up
with
satisfactory
answers
daunting
environmental
food
security
problems
currently
face
their
management.
Carbon
farming
trading
schemes
(CFTS)
are
emerging
as
a
nature-based
solution
to
contribute
the
mitigation
of
climate
change
by
capturing
carbon
from
atmosphere
and
storing
it
in
plant-soil
system
soil
organic
(SOC).
Increasing
SOC
for
CFTS
requires
improved
management
practices,
monitoring
through
sampling
measurements,
ex-ante
economic
evaluation.
The
implication
is
that
needs
be
quantified
reliably,
i.e.,
compatible
with
measurements
data
validation
certification
under
CFTS.
Multicompartmental
dynamic
models
(mSCDM)
have
been
widely
proposed
assessing
spatial
temporal
trajectories
stocks.
However,
overly
complex
structure
mSCDM
means
they
prone
overparameterization
overfitting,
poor
performance
unseen
data,
thus,
not
appropriate
present
paper
addresses
this
gap
describing
development
ProCarbon-Soil
(PROCS)
model,
designed
explicitly
CTFS
new
context
data-model
fusion.PROCS
holds
same
fundamental
biophysical
principles
most
applied
SCDM
has
advantage
improving
adherence
empirical
shortening
soil-plant
system's
state
variables
total
stocks
decomposability
allow
reducing
number
parameters
needed.
Frontiers in Soil Science,
Год журнала:
2024,
Номер
4
Опубликована: Окт. 9, 2024
Governments
and
organizations
are
expressing
growing
concerns
about
soil
health,
driven
largely
by
uncertainties
of
food
security
with
an
increasing
human
population
unpredictable
effects
climate
change.
Although
considerable
literature
debate
exist,
there
is
discord
around
the
question,
what
a
healthy
soil?
This
not
surprising,
given
complex
roles
provides,
from
range
food,
fiber
medical
products,
hosting
biodiverse
community,
supporting
water
nutrient
cycles.
While
consensus
seems
to
suggest
that
in
good
health
should
be
able
provide
goods
services
perpetuity,
this
does
define
rather
its
provisioning
functions.
To
explore
‘what
healthy?’,
we
propose
analogy
comparing
indicators
health.
For
example,
identify
cause
symptom,
compare
diagnostic
pH
both
humans
soil,
demonstrating
similarities
between
way
addressed.
Additionally,
consider
context
necessitates
use
set
holistic
predictors
link
further.
In
humans,
genetics
express
many
traits
can
predispose
one
certain
illnesses
or
diseases,
same
way,
parent
material,
texture,
length
time
exposed
weathering
inform
soil’s
capability
predisposition
for
habitats
uses.
cases,
science
informs
state
appropriate
management
solutions.
We
posit
null
hypothesis
“the
concept
cannot
applied
soil”.
Abstract
Recent
advances
in
3D
X-ray
Computed
Tomography
(CT)
sensors
have
stimulated
research
efforts
to
unveil
the
extremely
complex
micro-scale
processes
that
control
activity
of
soil
microorganisms.
Classical
methods
for
numerical
simulation
biological
dynamics
using
meshes
voxels,
such
as
Lattice
Boltzmann
Method
(LBM),
tend
require
long
computation
times.
The
use
more
compact
geometrical
representations
pore
space
can
drastically
decrease
computational
cost
simulations.
has
introduced
basic
analytic
volume
primitives
define
piece-wise
approximations
simulate
drainage,
diffusion,
and
microbial
mineralization
organic
matter
soils.
Such
approaches
work
well
but
a
drawback
is
they
give
rise
non-negligible
approximation
errors.
In
present
article,
another
alternative
proposed,
where
described
by
means
geometrically
relevant
connected
subsets
voxels
(regions)
regrouped
on
basis
curve
linear
skeleton
(3D
medial
axis).
This
been
adopted
characterize
shapes
various
fields
(e.g.,
medical
imaging,
material
sciences,
etc.)
few
publications
used
it
context
soils,
dealt
exclusively
with
determination
throats.
technique
mostly
describe
shape
not
partition
into
subsets.
Here,
partitioned
branches
skeleton,
then
an
attributed
relational
graph
created
order
numerically
matter,
including
diffusion
by-products.
new
representation
be
graph-based
simulations,
which
are
different
from
voxel-based