Earth s Future,
Journal Year:
2024,
Volume and Issue:
12(2)
Published: Feb. 1, 2024
Abstract
Many
agricultural
regions
in
China
are
likely
to
become
appreciably
wetter
or
drier
as
the
global
climate
warming
increases.
However,
impact
of
these
change
patterns
on
intensity
soil
greenhouse
gas
(GHG)
emissions
(GHGI,
GHG
per
unit
crop
yield)
has
not
yet
been
rigorously
assessed.
By
integrating
an
improved
ecosystem
model
and
a
meta‐analysis
multiple
field
studies,
we
found
that
is
expected
cause
20.0%
yield
loss,
while
stimulating
by
12.2%
between
2061
2090
China's
regions.
A
wetter‐warmer
(WW)
would
adversely
equal
basis
lead
1.8‐fold‐
increase
relative
those
drier‐warmer
(DW)
climate.
Without
water
limitation/excess,
extreme
heat
(an
more
than
1.5°C
average
temperature)
during
growing
season
amplify
15.7%
simultaneously
elevating
42.5%
compared
below
1.5°C.
when
coupled
with
drought,
it
aggravate
loss
61.8%
without
reducing
corresponding
emissions.
Furthermore,
emission
WW
22.6%
DW
Under
this
intense
climate,
use
nitrogen
fertilizer
37.9%
necessarily
gaining
advantage
These
findings
suggest
threat
world
efforts
reduce
may
be
great
even
greater
world.
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(3), P. 283 - 283
Published: Jan. 28, 2025
Elucidating
the
effects
of
nitrogen
and
water
addition
on
N2O
dynamics
is
critical,
as
a
key
driver
climate
change
(including
deposition
shifting
precipitation
patterns)
stratospheric
ozone
depletion.
The
temperate
steppe
notable
natural
source
this
potent
greenhouse
gas.
This
study
uses
field
observations
soil
sampling
to
investigate
seasonal
pattern
emissions
in
Inner
Mongolia
mechanism
by
which
additions,
two
different
types
factors,
alter
pattern.
It
explores
regulatory
roles
environmental
physicochemical
properties,
microbial
community
structure,
abundance
functional
genes
influencing
emissions.
These
results
indicate
that
emission
mechanisms
vary
throughout
growing
season.
Nitrogen
application
consistently
increase
In
contrast,
suppresses
during
early
season
but
promotes
peak
late
seasons.
season,
primarily
increased
dissolved
organic
(DON)
levels,
provided
matrix
for
nitrification
promoted
Meanwhile,
moisture,
enhancing
nosZ
(nitrous
oxide
reductase)
gene
while
reducing
nitrate
(NO3−-N)
well
AOA
(ammonia-oxidizing
archaea)
amoA
AOB
bacteria)
expression,
thereby
lowering
During
nitrogen’s
role
adjusting
pH
ammonium
(NH4+-N),
along
with
amplifying
amoA,
spiked
Water
affects
balance
between
denitrification
altering
aerobic
anaerobic
conditions,
ultimately
increasing
inhibiting
nosZ.
As
waned
decreased,
temperature
also
became
Structural
equation
modeling
reveals
impacts
flux
variations
through
are
more
significant
research
uncovers
innovative
insights
into
how
additions
differently
impact
across
various
stages
steppe,
providing
scientific
basis
predicting
managing
within
these
ecosystems.
Soil Science Society of America Journal,
Journal Year:
2025,
Volume and Issue:
89(2)
Published: March 1, 2025
Abstract
Nitrous
oxide
(N
2
O)
is
a
major
greenhouse
gas
and
its
emissions
from
soil
are
largely
driven
by
fertilizer
nitrogen
(N).
Sugar
beet
(
Beta
vulgaris
L.)
an
economically
important
crop;
however,
there
limited
studies
reporting
N
O
in
as
affected
fertilization.
The
2‐year
(2022–2023)
experiment
was
conducted
Nebraska,
to
evaluate
the
effects
of
different
rates
on
root
yield,
estimated
recoverable
sugar
(ERS),
emissions,
emission
factors
(EFs).
treatments
were
0%,
50%,
80%,
100%,
125%
(also,
150%
2023)
current
University
Nebraska
recommended
based
yield
goal
spring
test
N.
In
2023,
at
≥80%
had
higher
ERS
than
control.
Daily
fluxes
increased
exponentially
during
first
3–4
weeks
application.
Cumulative
linearly
with
both
years.
Emissions
least
50%
greater
2023
2022,
most
likely
moisture
2023.
EF
calculated
applied
(EF_N)
0.87%
1.48%
2022
respectively.
Fertilizer‐induced
(EF_fert)
0.71%
1.32%
average
annual
EF_fert
(1.02%)
very
close
Intergovernmental
Panel
Climate
Change
(IPCC)
default
1%,
suggesting
that
could
reasonably
estimate
understudied
crops
such
irrigated
beet.
Forests,
Journal Year:
2025,
Volume and Issue:
16(5), P. 766 - 766
Published: April 30, 2025
Global
warming,
driven
by
increased
greenhouse
gas
emissions,
is
a
critical
global
concern.
However,
long-term
trends
in
emissions
remain
poorly
understood
due
to
limited
year-round
data.
The
automated
chamber
method
was
used
for
continuous
monitoring
of
soil
N2O
fluxes
mixed
forest
Northeast
China’s
Changbai
Mountains,
analyzing
monthly
diurnal
patterns
and
their
relationships
with
temperature
(Ts)
volumetric
water
content
(VWC).
results
revealed
significant
seasonal
variations,
peak
at
11:00
during
the
growing
season
(May–October)
elevated
nighttime
winter
(March,
April,
November,
December).
optimal
sampling
time
14:00,
closely
reflecting
daily
mean
fluxes.
Soil
Ts
VWC
were
key
drivers,
variability
effects:
showed
no
relationship
January
but
strong
correlations
February
March.
Q10
values
ranged
from
0.4
7.2
(mean
=
2.5),
indicating
high-temperature
sensitivity.
effects
complex,
moderate
promoting
denitrification
excessive
suppressing
microbial
activity.
These
findings
provide
insights
optimizing
improving
emission
estimates.