Effects of Long-Term Land Use Patterns on Labile Organic Carbon Fractions and Carbon Pool Management Index of Mollisols Humus Layers
Applied Sciences,
Год журнала:
2025,
Номер
15(3), С. 1006 - 1006
Опубликована: Янв. 21, 2025
Land
use
patterns
significantly
influence
the
quantity
and
composition
of
litter
in
soil
humus
layers,
thereby
affecting
dynamics
organic
carbon.
However,
differences
labile
carbon
fractions
sequestration
index
under
different
land
patterns,
as
well
their
impact
on
storage
layers
mollisols—without
migration
loss
erosion—remain
unclear.
Labile
is
classified
into
such
dissolved
carbon,
easily
oxidized
particulate
microbial
biomass
which
are
identified
through
chemical
extraction
methods.
This
study
investigates
long-term
dynamics,
pools,
KOS,
CPMI
mollisols
across
five
treatments:
SC
(continuous
soybean
cultivation),
MC
maize
MSR
(maize–soybean
rotation),
GB
(grass
belt),
FB
(forest
belt).
It
also
selects
three
depths
(0–20
cm,
20–40
40–60
cm)
over
an
11-year
period
for
analysis.
The
results
indicate
that
(EOC,
POC,
DOC,
MBC),
decrease
with
depth,
while
KOS
increases.
Non-tillage
treatments
enhance
SOC
accumulation
exhibiting
highest
content,
surpassing
GB,
MC,
SC,
by
22.88%,
52.35%,
60.64%,
80.12%,
respectively.
can
fractions,
aligning
observed
trends
treatment
optimal.
Additionally,
these
increase
CPMI,
improving
stability.
To
minimize
loss,
should
encourage
conversion
farmland
to
grassland
forest,
recommended
optimal
strategy
protection
sustainable
development
soils
long
term.
approach
significant
understanding
cycle,
rationally
planning
strategies,
providing
a
reference
enhancing
quality
ecosystem
sinks.
Язык: Английский
High-Resolution Mapping of Cropland Soil Organic Carbon in Northern China
Agronomy,
Год журнала:
2025,
Номер
15(2), С. 359 - 359
Опубликована: Янв. 30, 2025
Mapping
the
high-precision
spatiotemporal
dynamics
of
soil
organic
carbon
(SOC)
in
croplands
is
crucial
for
enhancing
fertility
and
sequestration
ensuring
food
security.
We
conducted
field
surveys
collected
1121
samples
from
cropland
Changzhi,
northern
China,
2010
2020.
Random
Forest
(RF)
models
combined
with
19
environmental
covariates
were
used
to
map
topsoil
(0–20
cm)
SOC
2020,
uncertainty
maps
calculate
dynamic
changes
between
Finally,
RF
Structural
Equation
Modeling
(SEM)
employed
explore
effects
climate,
vegetation,
topography,
properties,
agricultural
management
on
variation
croplands.
Compared
prediction
model
using
only
natural
variables
(RF_C),
incorporating
(RF_A)
significantly
improved
simulation
accuracy
SOC.
The
coefficient
determination
(R2)
increased
0.77
0.85,
while
Root
Mean
Square
Error
(RMSE)
decreased
1.74
1.53
g
kg−1,
Absolute
(MAE)
was
reduced
1.10
0.94
kg−1.
our
predictions
low,
an
average
value
0.39–0.66
From
Changzhi
exhibited
overall
increasing
trend,
increase
1.57
Climate
change,
management,
properties
strongly
influence
variation.
annual
precipitation
(MAP),
drainage
condition
(DC),
net
primary
productivity
(NPP)
drivers
variability.
Our
findings
highlight
effectiveness
predicting
Overall,
study
confirms
that
has
great
potential
stocks,
which
may
contribute
sustainable
development.
Язык: Английский
Natural Revegetation Alters Habitat Conditions, Bacterial Components, and Polycyclic Aromatic Hydrocarbon (PAH)-Degrading Communities in Aged PAH-Polluted Soils
Microorganisms,
Год журнала:
2025,
Номер
13(5), С. 1098 - 1098
Опубликована: Май 9, 2025
The
vegetation
restoration
of
contaminated
sites
plays
a
critical
role
in
ensuring
the
sustained
stability
and
functional
integrity
natural
ecosystems.
However,
during
revegetation
process,
variations
habitat
conditions,
bacterial
community
structure,
metabolic
functions
aged,
polluted
soil
are
still
unclear.
In
present
study,
we
investigated
polycyclic
aromatic
hydrocarbon
(PAH)-polluted
soils
at
closed,
abandoned
oil
well
from
Yellow
River
Delta.
Using
gene
amplification
real-time
qPCR
methods,
abundance,
taxonomy,
diversity
characteristics
indigenous
communities
bacteria
carrying
C12O
genes
both
vegetated
bare
were
investigated.
results
show
that
significantly
changes
physicochemical
parameters,
PAH
content,
structure
PAH-polluted
soils.
When
comparing
abundance
components
PAH-degrading
soils,
potential
was
revealed
to
be
stimulated
by
communities.
Through
correlation
analysis,
dual
stress
salinity
contamination
mediated
through
alterations
soil’s
properties
local
vegetation.
network
analysis
have
higher
connectivity.
These
elucidate
components,
following
restoration,
providing
insights
for
optimizing
ecological
rehabilitation
strategies
salinized
Язык: Английский