Earth s Future,
Journal Year:
2024,
Volume and Issue:
12(11)
Published: Oct. 31, 2024
Abstract
Wetland
methane
(CH
4
)
emissions
have
a
significant
impact
on
the
global
climate
system.
However,
current
estimation
of
wetland
CH
at
scale
still
has
large
uncertainties.
Here
we
developed
six
distinct
bottom‐up
machine
learning
(ML)
models
using
in
situ
fluxes
from
both
chamber
measurements
and
Fluxnet‐CH
network.
To
reduce
uncertainties,
adopted
multi‐model
ensemble
(MME)
approach
to
estimate
emissions.
Precipitation,
air
temperature,
soil
properties,
types,
types
are
considered
developing
models.
The
MME
is
then
extrapolated
1979
2099.
We
found
that
annual
146.6
±
12.2
Tg
yr
−1
(1
=
10
12
g)
2022.
Future
will
reach
165.8
11.6,
185.6
15.0,
193.6
17.2
last
two
decades
21st
century
under
SSP126,
SSP370,
SSP585
scenarios,
respectively.
Northern
Europe
near‐equatorial
areas
emission
hotspots.
further
constrain
quantification
uncertainty,
research
priorities
should
be
directed
comprehensive
better
characterization
spatial
dynamics
areas.
Our
data‐driven
ML‐based
products
for
contemporary
shall
facilitate
future
cycle
studies.
Journal of Geophysical Research Biogeosciences,
Journal Year:
2024,
Volume and Issue:
129(3)
Published: Feb. 26, 2024
Abstract
Significant
progress
in
permafrost
carbon
science
made
over
the
past
decades
include
identification
of
vast
stocks,
development
new
pan‐Arctic
maps,
an
increase
terrestrial
measurement
sites
for
CO
2
and
methane
fluxes,
important
factors
affecting
cycling,
including
vegetation
changes,
periods
soil
freezing
thawing,
wildfire,
other
disturbance
events.
Process‐based
modeling
studies
now
key
elements
cycling
advances
statistical
inverse
enhance
understanding
region
C
budgets.
By
combining
existing
data
syntheses
model
outputs,
is
likely
a
wetland
source
small
ecosystem
sink
with
lower
net
uptake
toward
higher
latitudes,
excluding
wildfire
emissions.
For
2002–2014,
strongest
was
located
western
Canada
(median:
−52
g
m
−2
y
−1
)
smallest
sinks
Alaska,
Canadian
tundra,
Siberian
tundra
(medians:
−5
to
−9
).
Eurasian
regions
had
largest
median
fluxes
(16–18
CH
4
Quantifying
regional
scale
balance
remains
challenging
because
high
spatial
temporal
variability
relatively
low
density
observations.
More
accurate
require:
(a)
better
maps
characterizing
wetlands
dynamics
disturbances,
abrupt
thaw;
(b)
establishment
year‐round
flux
underrepresented
areas;
(c)
improved
models
that
represent
cycle
dynamics,
non‐growing
season
emissions
effects.
Frontiers in Science,
Journal Year:
2024,
Volume and Issue:
2
Published: July 30, 2024
Anthropogenic
methane
(CH
4
)
emissions
increases
from
the
period
1850–1900
until
2019
are
responsible
for
around
65%
as
much
warming
carbon
dioxide
(CO
2
has
caused
to
date,
and
large
reductions
in
required
limit
global
1.5°C
or
2°C.
However,
have
been
increasing
rapidly
since
~2006.
This
study
shows
that
expected
continue
increase
over
remainder
of
2020s
if
no
greater
action
is
taken
atmospheric
thus
far
outpacing
projected
growth
rates.
important
implications
reaching
net
zero
CO
targets:
every
50
Mt
CH
sustained
cuts
envisioned
under
low-warming
scenarios
not
realized
would
eliminate
about
150
Gt
remaining
budget.
Targeted
therefore
a
critical
component
alongside
decarbonization
minimize
warming.
We
describe
additional
linkages
between
mitigation
options
,
especially
via
land
use,
well
their
respective
climate
impacts
associated
metrics.
explain
why
target
specifically
neither
necessary
nor
plausible.
Analyses
show
where
most
feasible
at
national
sectoral
levels
given
limited
resources,
example,
meet
Global
Methane
Pledge
target,
but
they
also
reveal
uncertainties.
Despite
these
uncertainties,
many
costs
clearly
low
relative
real-world
financial
instruments
very
compared
with
damage
estimates,
legally
binding
regulations
pricing
needed
goals.
Biogeosciences,
Journal Year:
2025,
Volume and Issue:
22(1), P. 305 - 321
Published: Jan. 15, 2025
Abstract.
Due
to
ongoing
climate
change,
methane
(CH4)
emissions
from
vegetated
wetlands
are
projected
increase
during
the
21st
century,
challenging
mitigation
efforts
aimed
at
limiting
global
warming.
However,
despite
reports
of
rising
emission
trends,
a
comprehensive
evaluation
and
attribution
recent
changes
remains
limited.
Here
we
assessed
wetland
CH4
2000–2020
based
on
an
ensemble
16
process-based
models.
Our
results
estimated
average
158
±
24
(mean
1σ)
Tg
yr−1
over
total
annual
area
8.0
2.0×106
km2
for
period
2010–2020,
with
6–7
in
2010–2019
compared
2000–2009.
The
increases
four
latitudinal
bands
90–30°
S,
30°
S–30°
N,
30–60°
60–90°
N
were
0.1–0.2,
3.6–3.7,
1.8–2.4,
0.6–0.8
yr−1,
respectively,
2
decades.
modeled
sensitivities
temperature
show
reasonable
consistency
eddy-covariance-based
measurements
34
sites.
Rising
was
primary
driver
increase,
while
precipitation
atmospheric
CO2
concentrations
played
secondary
roles
high
levels
uncertainty.
These
suggest
that
change
is
driving
increased
direct
sustained
needed
monitor
developments.
Science Advances,
Journal Year:
2025,
Volume and Issue:
11(6)
Published: Feb. 5, 2025
Existing
projections
of
wetland
methane
emissions
usually
neglect
feedbacks
from
global
biogeochemical
cycles.
Using
data-driven
approaches,
we
estimate
2000
to
2100,
considering
effects
meteorological
changes
and
atmospheric
sulfate
deposition
CO
2
fertilization.
In
low-CO
scenarios
(1.5°
2°C
warming
pathways),
the
suppressive
effect
on
largely
diminishes
by
2100
due
clean
air
policies,
with
resulting
emission
increases
(7
±
Tg
a
−1
)
being
35
22%
total
changes.
mid-CO
(2.4°
3.6°C
modestly,
fertilization
contributes
>30%
increases.
Across
all
scenarios,
can
stimulate
30
45%
future
rises.
Under
1.5°
pathways,
will
likely
increase
20
34
representing
8
15%
allowable
space
for
anthropogenic
emissions,
factor
not
yet
considered
current
assessments.
Environmental Research Letters,
Journal Year:
2025,
Volume and Issue:
20(2), P. 023001 - 023001
Published: Jan. 22, 2025
Abstract
Wetlands
are
the
single
largest
natural
source
of
atmospheric
methane
(CH
4
),
contributing
approximately
30%
total
surface
CH
emissions,
and
they
have
been
identified
as
uncertainty
in
global
budget
based
on
most
recent
Global
Carbon
Project
report.
High
uncertainties
bottom–up
estimates
wetland
emissions
pose
significant
challenges
for
accurately
understanding
their
spatiotemporal
variations,
scientific
community
to
monitor
from
space.
In
fact,
there
large
disagreements
between
versus
top–down
inferred
inversion
concentrations.
To
address
these
critical
gaps,
we
review
development,
validation,
applications
well
how
used
inversions.
These
estimates,
using
(1)
empirical
biogeochemical
modeling
(e.g.
WetCHARTs:
125–208
TgCH
yr
−1
);
(2)
process-based
WETCHIMP:
190
±
39
(3)
data-driven
machine
learning
approach
UpCH4:
146
43
).
Bottom–up
subject
(∼80
Tg
ranges
different
do
not
overlap,
further
amplifying
overall
when
combining
multiple
data
products.
substantial
highlight
gaps
our
biogeochemistry
inundation
dynamics.
Major
tropical
arctic
complexes
regional
hotspots
emissions.
However,
scarcity
satellite
over
tropics
northern
high
latitudes
offer
limited
information
inversions
improve
estimates.
Recent
advances
measurements
fluxes
FLUXNET-CH
)
across
a
wide
range
ecosystems
including
bogs,
fens,
marshes,
forest
swamps
provide
an
unprecedented
opportunity
existing
We
suggest
that
continuous
long-term
at
representative
wetlands,
fidelity
mapping,
combined
with
appropriate
framework,
will
be
needed
significantly
There
is
also
pressing
unmet
need
fine-resolution
high-precision
observations
directed
wetlands.
Global Change Biology,
Journal Year:
2024,
Volume and Issue:
30(1)
Published: Jan. 1, 2024
Abstract
Climate
warming
is
expected
to
increase
global
methane
(CH
4
)
emissions
from
wetland
ecosystems.
Although
in
situ
eddy
covariance
(EC)
measurements
at
ecosystem
scales
can
potentially
detect
CH
flux
changes,
most
EC
systems
have
only
a
few
years
of
data
collected,
so
temporal
trends
remain
uncertain.
Here,
we
use
established
drivers
hindcast
changes
fluxes
(FCH
since
the
early
1980s.
We
trained
machine
learning
(ML)
model
on
22
[methane‐producing
sites]
wetland,
upland,
and
lake
sites
FLUXNET‐CH
database
with
least
two
full
across
temperate
boreal
biomes.
The
gradient
boosting
decision
tree
ML
then
hindcasted
daily
FCH
over
1981–2018
using
meteorological
reanalysis
data.
found
that,
mainly
driven
by
rising
temperature,
half
(
n
=
11)
showed
significant
increases
annual,
seasonal,
extreme
,
ca.
10%
or
higher
fall
1981–1989
2010–2018.
annual
were
during
summer
fall,
particularly
high‐CH
‐emitting
fen
dominated
aerenchymatous
plants.
also
that
distribution
days
extremely
high
(defined
according
95th
percentile
values
reference
period)
become
more
frequent
last
four
decades
currently
account
for
10–40%
total
seasonal
fluxes.
share
was
greatest
winter
boreal/taiga
spring
sites,
which
highlights
increasing
importance
non‐growing
seasons
budgets.
Our
results
shed
light
effects
climate
wetlands,
appears
be
extending
emission
emissions.
Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(10)
Published: May 15, 2024
Abstract
Surface
and
satellite
observations
of
atmospheric
methane
show
smooth
seasonal
behavior
in
the
Southern
Hemisphere
driven
by
loss
from
hydroxyl
(OH)
radical.
However,
Northern
a
sharp
mid‐summer
increase
that
is
asymmetric
with
not
captured
default
configuration
GEOS‐Chem
chemical
transport
model.
Using
an
ensemble
22
OH
model
estimates
24
wetland
emission
inventories
GEOS‐Chem,
we
magnitude,
latitudinal
distribution,
seasonality
emissions
are
critical
for
reproducing
observed
hemisphere,
interhemispheric
ratio
playing
lesser
role.
Reproducing
requires
inventory
∼80
Tg
−1
poleward
10°N
including
significant
South
Asia,
August
peak
boreal
persisting
into
autumn.
In
our
24‐member
ensemble,
only
LPJ‐wsl
MERRA‐2
has
these
attributes.
Journal of Geophysical Research Biogeosciences,
Journal Year:
2024,
Volume and Issue:
129(3)
Published: March 1, 2024
Abstract
Earth
System
Models
(ESMs)
simulate
the
exchange
of
mass
and
energy
between
land
surface
atmosphere,
with
a
key
focus
on
modeling
natural
greenhouse
gas
feedbacks.
Methane
is
second
most
important
after
carbon
dioxide.
There
are
growing
concerns
over
rapidly
increasing
methane
concentration
in
underscoring
need
for
accurate
global
its
emissions
using
ESMs.
Of
multitude
sources
globally,
wetlands
largest
emitters
methane,
leading
to
significant
efforts
targeting
their
representation
ESMs
special
emissions.
In
this
review,
we
first
provide
historical
overview
including
wetland‐methane
components
how
approaches
have
evolved
time.
Second,
discuss
recent
advancements
that
show
promise
improvements
predictions,
namely
coupling
atmospheric
modules
ESMs,
microtopography
transport
mechanisms,
resolution
microbial
processes
at
different
spatial‐temporal
scales,
improved
mapping
wetland
area
extent
across
types.
Third,
shed
light
challenges
hindering
estimations
emissions,
as
shown
by
consistent
discrepancy
bottom‐up
top‐down
models'
predictions.
Finally,
emphasize
more
detailed
biogeochemistry
dynamic
hydrology
while
resolving
within‐wetland
vegetation
heterogeneity
should
improve
model
especially
when
coupled
expanding
ground‐based
measurement
networks
high‐resolution
remote
sensing
methane‐relevant
variables,
such
water
elevation,
table
depth,
concentration.
Abstract.
Due
to
ongoing
climate
change,
methane
(CH4)
emissions
from
vegetated
wetlands
are
projected
increase
during
the
21st
century,
challenging
mitigation
efforts
aimed
at
limiting
global
warming.
However,
despite
reports
of
rising
emission
trends,
a
comprehensive
evaluation
and
attribution
recent
changes
is
still
lacking.
Here
we
assessed
wetland
CH4
2000
2020
based
on
an
ensemble
sixteen
process-based
models.
Our
results
estimated
average
158±24
(mean
±
1σ)
Tg
yr-1
for
period
2010–2020,
with
decadal
6–7
compared
decade
2000–2009.
The
increases
in
four
latitudinal
bands
90°
S–30°
S,
30°
N,
N–60°
60°
N–90°
N
were
0.1–0.2
yr-1,
3.6–3.7
1.8–2.4
0.6–0.8
respectively,
over
two
decades.
modeled
sensitivities
temperature
show
reasonable
consistency
eddy
covariance-based
measurements
34
sites.
Rising
was
primary
driver
increase,
while
precipitation
atmospheric
CO2
concentrations
played
secondary
roles
high
levels
uncertainty.
These
suggest
change
driving
increased
that
direct
sustained
needed
monitor
developments.