Geoscientific model development,
Год журнала:
2022,
Номер
15(7), С. 2839 - 2858
Опубликована: Апрель 7, 2022
Abstract.
Agricultural
nitrous
oxide
(N2O)
emission
accounts
for
a
non-trivial
fraction
of
global
greenhouse
gas
(GHG)
budget.
To
date,
estimating
N2O
fluxes
from
cropland
remains
challenging
task
because
the
related
microbial
processes
(e.g.,
nitrification
and
denitrification)
are
controlled
by
complex
interactions
among
climate,
soil,
plant
human
activities.
Existing
approaches
such
as
process-based
(PB)
models
have
well-known
limitations
due
to
insufficient
representations
or
uncertainties
model
parameters,
leverage
recent
advances
in
machine
learning
(ML)
new
method
is
needed
unlock
“black
box”
overcome
its
low
interpretability,
out-of-sample
failure
massive
data
demand.
In
this
study,
we
developed
first-of-its-kind
knowledge-guided
agroecosystems
(KGML-ag)
incorporating
biogeophysical
chemical
domain
knowledge
an
advanced
PB
model,
ecosys,
tested
it
comparing
simulating
daily
with
real
observed
mesocosm
experiments.
The
gated
recurrent
unit
(GRU)
was
used
basis
build
structure.
optimize
performance,
investigated
range
ideas,
including
(1)
using
initial
values
intermediate
variables
(IMVs)
instead
time
series
input
reduce
demand;
(2)
building
hierarchical
structures
explicitly
estimate
IMVs
further
prediction;
(3)
multi-task
balance
simultaneous
training
on
multiple
variables;
(4)
pre-training
millions
synthetic
generated
ecosys
fine-tuning
observations.
Six
other
pure
ML
were
same
serve
benchmark
KGML-ag
model.
Results
show
that
did
excellent
job
reproducing
(overall
r2=0.81,
RMSE=3.6
mgNm-2d-1
cross
validation).
Importantly,
always
outperforms
predicting
fluxes,
especially
temporal
dynamics
peaks.
Besides,
goes
beyond
providing
more
interpretable
predictions
well
pinpointing
desired
empower
current
KGML-ag.
We
believe
development
study
will
stimulate
body
research
biogeochemistry
geoscience
processes.
Global Change Biology,
Год журнала:
2019,
Номер
26(4), С. 2292 - 2303
Опубликована: Дек. 13, 2019
Gaseous
nitrogen
(N)
emissions,
especially
emissions
of
dinitrogen
(N2
)
and
ammonia
(NH3
),
have
long
been
considered
as
the
major
pathways
N
loss
from
flooded
rice
paddies.
However,
no
studies
simultaneously
evaluated
overall
response
gaseous
losses
to
improved
fertilization
practices
due
difficulties
directly
measure
N2
paddy
soils.
We
quantified
(using
membrane
inlet
mass
spectrometry),
NH3
nitrous
oxide
O)
a
field
in
southern
China
over
an
entire
rice-growing
season.
Our
experiment
included
three
treatments:
control
treatment
(no
addition)
two
fertilizer
(220
kg
N/ha)
application
methods,
traditional
surface
incorporation
into
soil.
results
show
that
season,
cumulative
accounted
for
13.5%
19.1%
0.2%
32.8%
(total
loss)
applied
fertilizer.
Compared
with
treatment,
soil
decreased
,
O
by
14.2%,
13.3%
42.5%,
respectively.
Overall,
significantly
reduced
total
13.8%,
use
efficiency
14.4%,
increased
yield
13.9%
intensity
(gaseous
loss/rice
yield)
24.3%.
indicate
is
effective
agricultural
management
practice
ensuring
food
security
environmental
sustainability
ecosystems.
Journal of Geophysical Research Biogeosciences,
Год журнала:
2016,
Номер
121(6), С. 1568 - 1580
Опубликована: Май 7, 2016
Abstract
Knowledge
of
greenhouse
gas
(GHG)
fluxes
in
soils
is
a
prerequisite
to
constrain
national,
continental,
and
global
GHG
budgets.
However,
data
characterizing
from
agricultural
Africa
are
markedly
limited.
We
measured
carbon
dioxide
(CO
2
),
nitrous
oxide
(N
O),
methane
(CH
4
)
at
10
farmer‐managed
sites
six
crop
types
for
1
year
Kenya
Tanzania
using
static
chambers
chromatography.
Cumulative
emissions
ranged
between
3.5–15.9
Mg
CO
‐C
ha
−1
yr
,
0.4–3.9
kg
N
O‐N
−1.2–10.1
CH
depending
on
type,
environmental
conditions,
management.
Manure
inputs
increased
(
p
=
0.03),
but
not
O
or
emissions.
Soil
cultivation
had
no
discernable
effect
any
the
three
gases.
Fluxes
were
54–208%
greater
<
0.05)
during
wet
versus
dry
seasons
some,
all,
types.
The
heterogeneity
seasonality
suggest
that
available
describing
soil
Africa,
based
measurements
limited
duration
only
few
agroecological
zones,
inadequate
use
as
basis
estimating
impact
A
targeted
effort
understand
magnitude
mechanisms
underlying
African
necessary
accurately
estimate
influence
this
source
climate
system
determining
mitigation
strategies.
Biogeochemistry,
Год журнала:
2019,
Номер
143(2), С. 171 - 190
Опубликована: Фев. 28, 2019
In
the
last
40
years,
large
areas
of
Mau
forest,
largest
contiguous
tropical
montane
forest
in
East
Africa,
have
been
cleared
for
agriculture.
To
date,
there
are
no
empirical
data
on
how
this
land
use
change
affects
carbon
dioxide
(CO2)
fluxes
from
soil
respiration
and
methane
(CH4)
fluxes.
This
study
reports
measured
annual
CO2
CH4
native
previously
forested
lands
converted
to
smallholder
grazing
land,
commercial
tea
plantations
eucalyptus
plantations.
Fluxes
were
weekly
August
2015
2016
using
static
chamber
method.
Grazing
had
highest
(p
=
0.028)
cumulative
respiratory
(25.6
±
2.9
Mg
CO2–C
ha−1
year−1),
whereas
lowest
observed
(5.6
0.5
year−1).
Soil
positively
correlated
with
pH,
but
negatively
C:N
ratio.
Annual
explained
by
bulk
density
interaction
between
pH
Most
soils
sinks
atmospheric
across
all
types.
Methane
uptake
was
sites
(−
3.08
0.35
−
5.84
0.61
kg
CH4–C
year−1)
3.43
0.19
Uptake
decreased
significantly
increasing
intensity
(smallholder
plantations:
1.42
0.09
year−1,
1.44
0.29
Soils
rates
0.36
0.25
mean
water-filled
pore
space
<
0.01)
0.003)
inorganic
NH4+
concentrations
0.03).
can
be
mainly
water
content
these
factors
related
gas
diffusion.
Our
shows
that
converting
forests
managed
types
Specifically,
sink
strength
reduced
less
than
half
forest.
also
altered
emitting
3–4
times
more
other
Journal of Environmental Quality,
Год журнала:
2020,
Номер
49(5), С. 1092 - 1109
Опубликована: Июль 16, 2020
Adequately
estimating
soil
nitrous
oxide
(N2
O)
emissions
using
static
chambers
is
challenging
due
to
the
high
spatial
variability
and
episodic
nature
of
these
fluxes.
We
discuss
how
design
experiments
better
account
for
this
reduce
uncertainty
N2
O
emission
estimates.
This
paper
part
a
series,
each
discussing
different
facets
chamber
methodology.
Aspects
experimental
sampling
affected
by
include
site
selection
layout,
size,
areal
coverage.
Where
used,
treatment
application
adds
further
level
variability.
Time
day,
frequency,
duration
(both
individual
closure
overall
experiment
duration)
affect
temporal
captured.
also
present
best
practice
recommendations
installation
protocols
uncertainty.
To
obtain
estimates,
resources
should
be
allocated
minimize
in
line
with
objectives.
Sometimes
will
mean
prioritizing
flux
measurements
increasing
their
accuracy
precision
by,
example,
collecting
four
or
more
headspace
samples
during
closure.
However,
where
fluxes
are
exceptionally
spatially
variable
(e.g.,
heterogeneous
agricultural
landscapes,
such
as
uneven
woody
grazed
pastures),
available
deploy
fewer
per
may
beneficial.
Similarly,
particularly
fluxes,
generated
example
irrigation
freeze-thaw
cycles,
frequency
improve
temporally
interpolated
Journal of Environmental Quality,
Год журнала:
2020,
Номер
49(5), С. 1126 - 1140
Опубликована: Июль 17, 2020
Nitrous
oxide
(N2
O)
emissions
are
highly
episodic
in
response
to
nitrogen
additions
and
changes
soil
moisture.
Automated
gas
sampling
provides
the
necessary
high
temporal
frequency
capture
these
emission
events
real
time,
ensuring
development
of
accurate
N2
O
inventories
effective
mitigation
strategies
reduce
global
warming.
This
paper
outlines
design
operational
considerations
automated
chamber
systems
including
deployment,
sampling,
options
terms
analysis
samples.
The
basic
hardware
software
requirements
for
chambers
described,
major
challenges
obstacles
their
implementation
operation
a
wide
range
environments.
Detailed
descriptions
provided
that
have
been
deployed
assess
impacts
agronomy
on
other
significant
greenhouse
gases.
information
will
assist
researchers
across
world
successful
deployment
systems.
Methods in Ecology and Evolution,
Год журнала:
2021,
Номер
12(6), С. 1122 - 1137
Опубликована: Март 2, 2021
Abstract
Accurately
quantifying
rates
and
patterns
of
biological
nitrogen
fixation
(BNF)
in
terrestrial
ecosystems
is
essential
to
characterize
ecological
biogeochemical
interactions,
identify
mechanistic
controls,
improve
BNF
representation
conceptual
numerical
modelling,
forecast
limitation
constraints
on
future
carbon
(C)
cycling.
While
many
resources
address
the
technical
advantages
limitations
different
methods
for
measuring
BNF,
less
systematic
consideration
has
been
given
broader
decisions
involved
planning
studies,
interpreting
data,
extrapolating
results.
Here,
we
present
a
practical
road
map
study
design,
execution,
data
analysis
scaling,
outlining
key
considerations
at
each
step.
We
issues
including
defining
N‐fixing
niches
interest,
identifying
important
sources
temporal
spatial
heterogeneity,
designing
sampling
scheme
(including
method
selection,
measurement
conditions,
replication,
hotspots
hot
moments),
approaches
analysing,
scaling
reporting
BNF.
also
review
comparability
estimates
derived
using
literature,
provide
sample
R
code
simulating
symbiotic
frames
upscaling.
Improving
standardizing
design
these
stages
will
accuracy
interpretability
define
limits
extrapolation,
facilitate
use
downstream
applications.
highlight
aspects—such
as
scales
statistical
dealing
with
non‐normality,
versus
significance—that
are
ripe
further
development.
Global Change Biology,
Год журнала:
2021,
Номер
27(20), С. 5141 - 5153
Опубликована: Июль 14, 2021
Agricultural
peatlands
are
estimated
to
emit
approximately
one
third
of
global
greenhouse
gas
(GHG)
emissions
from
croplands,
but
the
temporal
dynamics
and
controls
these
poorly
understood,
particularly
for
nitrous
oxide
(N2
O).
We
used
cavity
ring-down
spectroscopy
automated
chambers
in
a
drained
agricultural
peatland
measure
over
70,000
individual
N2
O,
methane
(CH4
),
carbon
dioxide
(CO2
)
fluxes
3
years.
Our
results
showed
that
O
were
high,
contributing
26%
(annual
range:
16%-35%)
annual
CO2
e
emissions.
Total
averaged
26
±
0.5
kg
O-N
ha-1
y-1
exhibited
significant
inter-
intra-annual
variability
with
maximum
flux
42
1.8
.
Hot
moments
CH4
represented
1.1
0.2
1.3
0.2%
measurements,
respectively,
contributed
45
1%
mean
140
9%
fluxes.
Soil
moisture,
soil
temperature,
bulk
oxygen
(O2
concentrations
strongly
correlated
emissions;
nitrate
(
NO3-
also
significantly
These
suggest
IPCC
benchmarks
underestimate
high
emitting
by
up
70%.
Scaling
regional
similar
management
suggests
ecosystems
could
1.86
Tg
(range:
1.58-2.21
).
Data
large
sources
GHGs,
short-term
hot
fraction
total
budgets.
Earth System Dynamics,
Год журнала:
2023,
Номер
14(4), С. 767 - 795
Опубликована: Авг. 14, 2023
Abstract.
Terrestrial
carbon
(C)
sequestration
is
limited
by
nitrogen
(N),
an
empirically
established
constraint
that
could
intensify
under
CO2
fertilization
and
future
global
change.
The
terrestrial
C
sink
estimated
to
currently
sequester
approximately
a
third
of
annual
anthropogenic
emissions
based
on
ensemble
biosphere
models,
which
have
been
evaluated
in
their
ability
reproduce
observations
the
C,
water,
energy
cycles.
However,
N
cycling
thus
regulation
largely
unexplored.
Here,
we
evaluate
models
with
coupled
C–N
performance
at
simulating
cycling,
outlining
framework
for
evaluating
can
be
applied
across
models.
We
find
exhibit
significant
variability
pools
fluxes,
different
magnitudes
trends
over
historical
period,
despite
generally
sink.
Furthermore,
there
are
no
correlations
between
model
nor
differences
representations
fundamental
processes.
This
suggests
underlying
processes
regulate
operate
differently
appear
disconnected
from
cycling.
Models
tend
overestimate
tropical
biological
fixation,
vegetation
:
ratio,
soil
ratio
but
underestimate
temperate
fixation
relative
observations.
uncertainty
associated
measurements
given
scarcity
(especially
those
processes)
high
spatiotemporal
variability.
Overall,
our
results
suggest
represent
overestimating
storage
per
unit
N,
lead
biases
projections
change
(let
alone
without
representation
cycling).
More
extensive
comparisons
against
experimental
manipulations
crucial
its
impact
guide
development