Carbon
geomicrobiology,
saturation
deficit
and
sequestration
potential
of
Brazilian
agricultural
soilsThe
ecosystem
service
climate
regulation
provided
by
soil
is
due
to
its
capacity
sequester
C,
organic
carbon
(SOC)
essential
for
health.The
the
retain
OC
depends
on
minerals
their
interaction
with
microbiota.Chapter
1
this
work
analyzes
COS
in
clay
fraction
soils
Piracicaba
region,
state
São
Paulo,
based
an
equation
C
fine
particles,
adjusted
tropical
soils.This
was
using
a
spatial
regression
model.In
surface
layer,
mainly
explained
relative
abundance
kaolinite,
hematite,
goethite
gibbsite
determined
Vis-NIR-SWIR
spectroscopy.A
direct
relationship
observed
gibbsite.At
depth
80
100
cm,
kaolinite
hematite
were
responsible
greatest
variation
potential.The
contribution
each
mineral
also
mapped,
high
contributions
from
deep
layers.Chapter
2
adjustment
model
microbiological
mineralogical
variables.The
modeling
mapping
different
properties
carried
out
spectral
transfer
functions
digital
(DSM),
achieving
R
0.77
0.85.All
these
detected
specific
bands,
which
achieved
correlations
0.64
0.98
laboratory
analyses.The
autoregressive
models
obtained
r
0.61
0.7.The
explanatory
variables
associated
goethite,
fungi,
actinomycetes,
vesicular-arbuscular
mycorrhizal
enzymatic
activity
betaglucosidase,
urease
phosphatase
particulate
matter
(POM),
overall
fungi
being
most
important
variable.Chapter
3
development
strategy
analyze
at
microscale
through
spectroscopic
detection
35
samples
analysis
microbial
biomass
(MBC)
beta-glucosidase,
phosphatase,
fractionation
(SOM)
into
POM
SOM
(MAOM).In
order
characterize
Mid-IR
spectra
fractions
according
variables,
bands
selected
variable.Finally,
chapter
4,
technique
developed
calculate
spatialize
indices
enzymes
betaglycosidase,
areas
Brazil
DSM
having
as
covariates
Synthetic
Soil
Image
(SYSI),
relief,
climate,
biomes
maps.The
enzyme
maps
area
(3481362.60km²),
validation
ranging
0.68
0.35.These
30
m
scale
can
be
considered
monitoring
quality
health
soils,
they
are
sensitive
land
use
management.
Revista Brasileira de Ciência do Solo,
Journal Year:
2023,
Volume and Issue:
47
Published: Jan. 1, 2023
ABSTRACT
Excessive
phosphorus
(P)
applications
can
increase
nutrient
levels
in
the
soil,
facilitating
its
transference
to
aquatic
environments
and
causing
contamination.
Thus,
environmental
P
threshold
(P-threshold)
is
a
tool
establish
sound
level
of
which
values
below
are
harmless
environment.
This
study
aimed
P-threshold
equation
for
soils
Mato
Grosso
State,
Brazil.
Twenty
samples
representative
from
main
swine
production
regions
State
were
collected.
These
characterized
chemically
terms
adsorption
capacity,
then
incubated
with
rates
30
days.
After
incubation,
water-soluble
content
(P-water)
available
determined
by
Mehlich-1
method
(P-Mehlich-1).
The
relationship
between
P-water
P-Mehlich-1
allowed
determination
amount
water
increases
abruptly,
establishing
this
point
as
limit
(P-limit).
Subsequently,
P-limit
plotted
against
clay
soils,
resulting
was
used
calculate
adding
safety
margin
20
%
versus
equation.
model
tested
on
120
soil
it
able
separate
them
into
two
groups
low
high
P-water,
classified
or
above
P-threshold,
respectively.
Based
that,
simplified
“P-threshold
(mg
dm
-3
)
=
13
+
0.5
*
clay”
proposed.
Carbon
geomicrobiology,
saturation
deficit
and
sequestration
potential
of
Brazilian
agricultural
soilsThe
ecosystem
service
climate
regulation
provided
by
soil
is
due
to
its
capacity
sequester
C,
organic
carbon
(SOC)
essential
for
health.The
the
retain
OC
depends
on
minerals
their
interaction
with
microbiota.Chapter
1
this
work
analyzes
COS
in
clay
fraction
soils
Piracicaba
region,
state
São
Paulo,
based
an
equation
C
fine
particles,
adjusted
tropical
soils.This
was
using
a
spatial
regression
model.In
surface
layer,
mainly
explained
relative
abundance
kaolinite,
hematite,
goethite
gibbsite
determined
Vis-NIR-SWIR
spectroscopy.A
direct
relationship
observed
gibbsite.At
depth
80
100
cm,
kaolinite
hematite
were
responsible
greatest
variation
potential.The
contribution
each
mineral
also
mapped,
high
contributions
from
deep
layers.Chapter
2
adjustment
model
microbiological
mineralogical
variables.The
modeling
mapping
different
properties
carried
out
spectral
transfer
functions
digital
(DSM),
achieving
R
0.77
0.85.All
these
detected
specific
bands,
which
achieved
correlations
0.64
0.98
laboratory
analyses.The
autoregressive
models
obtained
r
0.61
0.7.The
explanatory
variables
associated
goethite,
fungi,
actinomycetes,
vesicular-arbuscular
mycorrhizal
enzymatic
activity
betaglucosidase,
urease
phosphatase
particulate
matter
(POM),
overall
fungi
being
most
important
variable.Chapter
3
development
strategy
analyze
at
microscale
through
spectroscopic
detection
35
samples
analysis
microbial
biomass
(MBC)
beta-glucosidase,
phosphatase,
fractionation
(SOM)
into
POM
SOM
(MAOM).In
order
characterize
Mid-IR
spectra
fractions
according
variables,
bands
selected
variable.Finally,
chapter
4,
technique
developed
calculate
spatialize
indices
enzymes
betaglycosidase,
areas
Brazil
DSM
having
as
covariates
Synthetic
Soil
Image
(SYSI),
relief,
climate,
biomes
maps.The
enzyme
maps
area
(3481362.60km²),
validation
ranging
0.68
0.35.These
30
m
scale
can
be
considered
monitoring
quality
health
soils,
they
are
sensitive
land
use
management.