Toxics,
Journal Year:
2024,
Volume and Issue:
12(12), P. 937 - 937
Published: Dec. 23, 2024
Soils
in
the
Black
Soil
Zone
of
northeast
China
are
experiencing
pollution
from
polycyclic
aromatic
hydrocarbons
(PAHs)
as
region
undergoes
urbanization.
In
this
study,
119
topsoil
samples
were
collected
black
soil
agricultural
area
Jilin
Province,
to
investigate
characteristics
and
spatial
distribution
16
PAHs.
The
total
concentration
∑16
PAHs
soils
ranged
2.546
33.993
mg/kg,
with
a
mean
value
9.99
mg/kg.
Positive
matrix
factorization
(PMF)
analysis
indicated
that
vehicle
exhaust
oil
combustion
identified
main
contributors
traffic-
energy-related
pollution.
inherited
lifetime
carcinogenicity
risk
(ILCR)
was
found
be
relatively
low,
indicating
low
potential
region,
adults
(1.34
×
10-5)
exhibiting
higher
than
adolescents
(8.62
10-6)
children
(7.49
10-6).
highest
values
for
intake,
skin
contact,
inhalation
routes
observed
adult
group,
suggesting
residents
certain
areas
may
at
increased
health
risk.
This
study
enhances
our
understanding
pathways
through
which
enter
Province
provides
insights
could
aid
addressing
PAH
soil,
ultimately
contributing
more
sustainable
practices
region.
Land,
Journal Year:
2025,
Volume and Issue:
14(1), P. 158 - 158
Published: Jan. 14, 2025
Exploring
the
factors
driving
farmers’
crop
rotation
intention
and
behavior
can
provide
a
scientific
foundation
for
enhancing
policies.
Utilizing
448
micro-research
samples
from
three
counties
in
Heilongjiang
Province,
structural
equation
model
was
developed
to
examine
influencing
behavior.
This
analysis
focused
on
farmer
cognition,
family
endowment,
external
environment.
The
study
results
indicate
that
cognition
endowment
positively
impact
their
rotate.
intention,
turn,
is
crucial
driver
of
actual
However,
environment
tends
affect
rotational
negatively.
Then,
positive
effects
were
noted,
such
as
benefits
rotation,
policy
awareness,
social
support,
larger
cropland
area,
narrower
return,
profit
gap
between
maize
soybean,
lower
spatial
connectivity
standard,
higher
subsidy
standard
significantly
encourage
In
nutshell,
effectively
promote
area
it
enhance
communication,
target
households,
establish
differentiated
standards.
These
measures
are
essential
boosting
motivation
increasing
adoption
region.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(4), P. 628 - 628
Published: April 18, 2024
Straw
return
is
one
of
the
main
methods
for
protecting
black
soil.
Efficient
and
accurate
straw
detection
important
sustainability
conservation
tillage.
In
this
study,
a
rapid
method
proposed
large
areas.
An
optimized
Sh-DeepLabv3+
model
based
on
aforementioned
characteristics
in
Jilin
Province
was
then
used
to
classify
plots
into
different
cover
types.
The
Mobilenetv2
as
backbone
network
reduce
number
parameters,
channel-wise
feature
pyramid
module
channel
attention
(CA-CFP)
low-level
fusion
(LLFF)
were
enhance
segmentation
plot
details.
addition,
composite
loss
function
solve
problem
class
imbalance
dataset.
results
show
that
extraction
accuracy
optimal
when
2048
×
2048-pixel
scale
image
input.
total
parameters
improved
are
3.79
M,
mean
intersection
over
union
(MIoU)
96.22%,
which
better
than
other
comparative
models.
After
conducting
calculation
form–grade
mapping
relationship,
error
value
area
prediction
found
be
less
8%.
can
provide
greater
support
detection.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 7, 2025
Abstract
Accurate
information
on
the
distribution
of
regional
black-soil
resource
is
one
important
elements
for
sustainable
management
soils.
And
its
results
can
provide
decision
makers
with
robust
data
that
be
translated
into
better
making.
This
study
utilized
all
Sentinel-2
images
covering
area
from
April
to
July
in
2022.
After
masking
clouds,
were
synthesized
monthly.
Based
revised
random
forest
classification
algorithm,
model
performance
using
different
feature
combination
programs
evaluated
search
an
efficient,
high-precision
method
mapping
resource.
The
impact
adding
temperature,
precipitation
and
slope
geographic
covariates
was
analyzed.
robustness
verified
Landsat-8
lower
spatial
resolution.
showed
(1)
based
multi-temporal
ensemble
features
shows
best
performance,
OA
94.6%;
(2)
temperature
covariate
effectively
improve
accuracy
mapping;
(3)
compared
sentinel
data,
reduced
but
still
plausible,
verifying
model.
provides
a
rapid
Land,
Journal Year:
2025,
Volume and Issue:
14(2), P. 256 - 256
Published: Jan. 26, 2025
In
the
context
of
global
climate
change
and
carbon
neutrality
goals,
agriculture
has
emerged
as
a
major
source
greenhouse
gas
(GHG)
emissions,
faces
critical
challenge
reducing
emissions
while
ensuring
food
security.
However,
existing
research
rarely
focused
on
dynamic
simulation
scenario-based
analysis
optimised
agricultural
layouts
their
impact
GHG
emissions.
Taking
three
northeastern
provinces
(Heilongjiang,
Jilin,
Liaoning)
China
study
area,
this
quantifies
from
grain
crops
employs
time-series
machine
learning
methods
to
conduct
scenario
analysis,
including
scenarios
(Business
Usual,
Sustainable
Optimisation,
Ecological
Priority).
Specific
policy
implications
are
proposed
for
optimising
mitigating
The
results
indicate
that
in
Northeast
primarily
stem
methane
rice
cultivation
nitrous
oxide
fertiliser
use.
A
reveals
“Sustainable
Optimisation”
reduces
by
22.0%
through
planting
maintaining
stable
crop
production.
“Ecological
Priority”
further
enhances
emission
reductions
25.2%
increasing
share
low-emission
crops,
such
corn,
high-emission
rice.
provides
practical
reference
promoting
low
carbonisation
agriculture,
demonstrates
production
structures
can
simultaneously
achieve
security
mitigation.
Frontiers in Microbiology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 19, 2025
Aerobic
bacteria
extensively
drive
the
carbon
cycle
in
soil
owing
to
their
vigorous
respiration;
however,
geographical
distribution
and
mechanisms
remain
poorly
understood.
The
citric
acid
synthetase-encoding
gene
(gltA),
which
encodes
key
enzyme
tricarboxylic
of
aerobic
respiration,
was
used
as
a
marker
investigate
Chinese
agricultural
fields.
abundance
diversity
gltA-harboring
changed
unimodally
latitude
increased,
with
peak
values
at
middle
latitudes,
where
dominant
species
showed
lowest
relative
abundance.
Despite
different
water
management
practices,
our
data
found
little
difference
abundance,
diversity,
or
between
paddy
upland
soils
on
large
scale,
significantly
affected
by
type
(black,
fluvo-aquic,
red),
can
be
defined
texture.
Linear
regression
random
forest
model
analyses
indicated
that
texture
strongly
regulated
community
bacteria,
particularly
this
functional
guild.
Generally,
less
abundant
diverse
were
observed
higher
clay
content.
We
identified
biomarkers
types
using
linear
discriminant
analysis
effect
size
analysis.
results
suggest
significant
correlation
most
these
biomarkers.
Additionally,
black
mainly
r-strategists,
include
Proteobacteria,
Actinobacteria,
Bacteroidetes,
positively
correlated
organic
In
contrast,
fluvo-aquic
generally
K-strategists,
such
Acidobacteria,
Ktedonobacteraceae,
Planctobacteriaceae,
Frankia
negatively
These
likely
play
distinct
roles
sequestration.
This
study
provides
foundational
insights
into
role
enhances
understanding
microbial
contributions
biogeochemical
carbon.
