Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 11, 2023
Abstract
Determining
the
dynamics
of
organic
carbon
in
subsoil
(SOC,
depth
20–100
cm)
is
important
with
respect
to
global
C
cycle
and
warming
mitigation.
However,
there
still
a
huge
knowledge
gap
spatiotemporal
changes
SOC
this
layer.
We
developed
new
method
spatially
resolve
soil
β
values
for
ecosystems
(cropland,
grassland,
forestland)
at
high
resolution.
first
quantified
spatial
variability
characteristics
these
driving
factors
by
analyzing
1221
profiles
(0–1
m)
globally
distributed
field
measurements
mapped
grid-level
values.
Then
we
evaluated
different
layers
determine
stocks
various
ecosystems.
The
density
cropland,
forestland
were
63.8,
83.3,
100.4
Mg
ha
–1
,
respectively.
decreased
increasing
depth,
ranging
from
5.6
30.8
7.5
40.0
9.6
47.0
forestland.
stock
was
912
Pg
C,
which
an
average
54%
resided
top
0–100
cm
profile.
Our
results
provide
insights
into
untapped
potential
enhance
sequestration
terrestrial
toward
climate
neutralization.
Critical Reviews in Environmental Science and Technology,
Journal Year:
2023,
Volume and Issue:
54(8), P. 676 - 697
Published: Oct. 6, 2023
The
addition
of
fresh
substrates
can
alter
the
decomposition
native
soil
organic
matter,
referred
to
as
priming
effect
(PE).
It
is
a
crucial
process
within
cycling
carbon
(C)
and
believed
be
regulated
by
nitrogen
(N)
input.
However,
direction
magnitude
this
N
on
PE
are
complex
due
involvement
various
factors
following
into
soil.
This
review
synthesizes
key
driving
responses
from
perspective
C-substrate
quantity
quality,
rates
forms,
properties
including
C
stability,
availability,
electrical
conductivity,
pH
buffer
capacity.
temporal
change
in
also
discussed.
In
studies
observing
suppressive
PE,
role
directly
suppressing
microbial
community
metabolism
(e.g.,
osmotic
stress
low
pH)
has
been
largely
ignored.
We
propose
application
multi-omics
techniques
examine
relationship
between
functional
traits
through
its
response
addition,
well
spatial
omics
imaging
exploring
connection
in-situ
distribution
addition.
Such
potentially
elucidate
how
elevated
atmospheric
CO2
may
affect
thus
stock
via
increasing
plant
input
regulating
nutrients
sources
for
uptake
under
inputs.
Abstract.
Determining
the
dynamics
of
organic
carbon
in
subsoil
(SOC,
depth
20–100
cm)
is
important
with
respect
to
global
C
cycle
and
warming
mitigation.
However,
there
still
a
huge
knowledge
gap
spatiotemporal
changes
SOC
this
layer.
Combining
traditional
functions
machine-learning
methods,
we
achieved
soil
β
values
at
high
resolution
for
ecosystems
(cropland,
grassland,
forestland).
First,
quantified
spatial
variability
characteristics
driving
factors
by
analyzing
1221
profiles
(0–100
globally
distributed
field
observations.
Then,
based
on
multiple
environmental
variables
profile
data,
mapped
grid-level
approaches.
Lastly,
evaluated
density
distribution
different
layers
determine
stocks
various
ecosystems.
The
cropland,
forestland
were
63.8,
83.3,
100.4
Mg
ha–1,
respectively.
decreased
increasing
depth,
ranging
from
5.6
30.8
ha–1
7.5
40.0
9.6
47.0
forestland.
stock
was
912
Pg
67,
200,
644
C),
which
an
average
54
%
resided
top
0–100
cm
profile.
Our
results
provide
information
vertical
patterns
10
km
areas
Global
ecosystems,
providing
scientific
basis
future
studies
pertaining
Earth
system
models.
dataset
open-access
available
https://doi.org/10.5281/zenodo.10846543
(Wang
et
al.,
2024).
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 11, 2023
Abstract
Determining
the
dynamics
of
organic
carbon
in
subsoil
(SOC,
depth
20–100
cm)
is
important
with
respect
to
global
C
cycle
and
warming
mitigation.
However,
there
still
a
huge
knowledge
gap
spatiotemporal
changes
SOC
this
layer.
We
developed
new
method
spatially
resolve
soil
β
values
for
ecosystems
(cropland,
grassland,
forestland)
at
high
resolution.
first
quantified
spatial
variability
characteristics
these
driving
factors
by
analyzing
1221
profiles
(0–1
m)
globally
distributed
field
measurements
mapped
grid-level
values.
Then
we
evaluated
different
layers
determine
stocks
various
ecosystems.
The
density
cropland,
forestland
were
63.8,
83.3,
100.4
Mg
ha
–1
,
respectively.
decreased
increasing
depth,
ranging
from
5.6
30.8
7.5
40.0
9.6
47.0
forestland.
stock
was
912
Pg
C,
which
an
average
54%
resided
top
0–100
cm
profile.
Our
results
provide
insights
into
untapped
potential
enhance
sequestration
terrestrial
toward
climate
neutralization.
