Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(15)
Published: July 30, 2024
Abstract
Ponds,
wetlands,
and
shallow
lakes
(collectively
“shallow
waterbodies”)
are
among
the
most
biogeochemically
active
freshwater
ecosystems.
Measurements
of
gross
primary
production
(GPP),
respiration
(R),
net
ecosystem
(NEP)
rare
in
waterbodies
compared
to
larger
deeper
lakes,
which
can
bias
our
understanding
lentic
processes.
In
this
study,
we
calculated
GPP,
R,
NEP
26
small,
across
temperate
North
America
Europe.
We
observed
high
rates
GPP
(mean
8.4
g
O
2
m
−3
d
−1
)
R
−9.1
),
while
varied
from
heterotrophic
autotrophic.
Metabolism
were
affected
by
depth
aquatic
vegetation
cover,
shallowest
had
highest
variable
NEP.
The
study
considerably
higher
metabolism
stressing
importance
these
systems
as
highly
productive
biogeochemical
hotspots.
Abstract.
Understanding
and
quantifying
the
global
methane
(CH4)
budget
is
important
for
assessing
realistic
pathways
to
mitigate
climate
change.
Emissions
atmospheric
concentrations
of
CH4
continue
increase,
maintaining
as
second
most
human-influenced
greenhouse
gas
in
terms
forcing
after
carbon
dioxide
(CO2).
The
relative
importance
compared
CO2
temperature
change
related
its
shorter
lifetime,
stronger
radiative
effect,
acceleration
growth
rate
over
past
decade,
causes
which
are
still
debated.
Two
major
challenges
reducing
uncertainties
factors
explaining
well-observed
arise
from
diverse,
geographically
overlapping
sources
uncertain
magnitude
temporal
destruction
by
short-lived
highly
variable
hydroxyl
radicals
(OH).
To
address
these
challenges,
we
have
established
a
consortium
multi-disciplinary
scientists
under
umbrella
Global
Carbon
Project
improve,
synthesise
update
regularly
stimulate
new
research
on
cycle.
Following
Saunois
et
al.
(2016,
2020),
present
here
third
version
living
review
paper
dedicated
decadal
budget,
integrating
results
top-down
emission
estimates
(based
in-situ
observing
satellite
(GOSAT)
observations
an
ensemble
inverse-model
results)
bottom-up
process-based
models
estimating
land-surface
emissions
chemistry,
inventories
anthropogenic
emissions,
data-driven
extrapolations).
We
recent
2010–2019
calendar
decade
(the
latest
period
full
datasets
available),
previous
2000–2009
year
2020.
revision
this
edition
benefits
progress
inland
freshwater
with
better
accounting
lakes
ponds,
reservoirs,
streams
rivers.
This
also
reduces
double
across
wetland
and,
first
time,
includes
estimate
potential
that
exists
(average
23
Tg
yr-1).
Bottom-up
approaches
show
combined
average
248
[159–369]
yr-1
decade.
Natural
fluxes
perturbed
human
activities
through
climate,
eutrophication,
land
use.
In
estimate,
component
contributing
emissions.
Newly
available
gridded
products
allowed
us
derive
almost
complete
latitudinal
regional
based
approaches.
For
estimated
inversions
(top-down)
be
575
(range
553–586,
corresponding
minimum
maximum
model
ensemble).
Of
amount,
369
or
~65
%
attributed
direct
fossil,
agriculture
waste
biomass
burning
350–391
63–68
%).
period,
give
slightly
lower
total
than
2010–2019,
32
9–40).
Since
2012,
trends
been
tracking
scenarios
assume
no
minimal
mitigation
policies
proposed
Intergovernmental
Panel
Climate
Change
(shared
socio-economic
SSP5
SSP3).
methods
suggest
16
(94
yr-1)
larger
(669
yr-1,
range
512–849)
inversion
period.
discrepancy
between
budgets
has
greatly
reduced
differences
(167
156
respectively),
time
uncertainty
overlap.
distribution
inversion-based
indicates
predominance
tropical
southern
hemisphere
(~65
<30°
N)
mid
(30°
N–60°
N,
~30
emissions)
high-northern
latitudes
(60°
N–90°
~4
emissions).
similar
though
contributions
latitudes,
smaller
tropics
inversions.
Although
bottom-up,
source
attributable
natural
especially
those
wetlands
freshwaters.
identify
five
priorities
improving
budget:
i)
producing
global,
high-resolution
map
water-saturated
soils
inundated
areas
emitting
robust
classification
different
types
ecosystems;
ii)
further
development
inland-water
emissions;
iii)
intensification
at
local
(e.g.,
FLUXNET-CH4
measurements,
urban-scale
monitoring,
imagery
pointing
capabilities)
scales
(surface
networks
remote
sensing
measurements
satellites)
constrain
both
inversions;
iv)
improvements
transport
representation
photochemical
sinks
inversions,
v)
integration
3D
variational
systems
using
isotopic
and/or
co-emitted
species
such
ethane
well
information
super-emitters
detected
(mainly
oil
sector
but
coal,
landfills)
improve
partitioning.
data
presented
can
downloaded
https://doi.org/10.18160/GKQ9-2RHT
(Martinez
al.,
2024).
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.
Wetlands,
Journal Year:
2023,
Volume and Issue:
43(8)
Published: Nov. 28, 2023
Abstract
Wetlands
cover
a
small
portion
of
the
world,
but
have
disproportionate
influence
on
global
carbon
(C)
sequestration,
dioxide
and
methane
emissions,
aquatic
C
fluxes.
However,
underlying
biogeochemical
processes
that
affect
wetland
pools
fluxes
are
complex
dynamic,
making
measurements
challenging.
Over
decades
research,
many
observational,
experimental,
analytical
approaches
been
developed
to
understand
quantify
C.
Sampling
range
in
their
representation
from
short
long
timeframes
local
landscape
spatial
scales.
This
review
summarizes
common
cutting-edge
methodological
for
quantifying
We
first
define
each
major
provide
rationale
importance
dynamics.
For
approach,
we
clarify
what
component
is
measured
its
temporal
representativeness
constraints.
describe
practical
considerations
such
as
where
when
an
approach
typically
used,
who
can
conduct
(expertise,
training
requirements),
how
conducted,
including
equipment
complexity
costs.
Finally,
key
covariates
ancillary
enhance
interpretation
findings
facilitate
model
development.
The
protocols
measure
soil,
water,
vegetation,
gases
also
relevant
related
disciplines
ecology.
Improved
quality
consistency
data
collection
reporting
across
studies
will
help
reduce
uncertainties
develop
management
strategies
use
wetlands
nature-based
climate
solutions.
AGU Advances,
Journal Year:
2023,
Volume and Issue:
4(5)
Published: Sept. 6, 2023
Abstract
Wetlands
are
responsible
for
20%–31%
of
global
methane
(CH
4
)
emissions
and
account
a
large
source
uncertainty
in
the
CH
budget.
Data‐driven
upscaling
fluxes
from
eddy
covariance
measurements
can
provide
new
independent
bottom‐up
estimates
wetland
emissions.
Here,
we
develop
six‐predictor
random
forest
model
(UpCH4),
trained
on
119
site‐years
flux
data
43
freshwater
sites
FLUXNET‐CH4
Community
Product.
Network
patterns
site‐level
annual
means
mean
seasonal
cycles
were
reproduced
accurately
tundra,
boreal,
temperate
regions
(Nash‐Sutcliffe
Efficiency
∼0.52–0.63
0.53).
UpCH4
estimated
146
±
TgCH
y
−1
2001–2018
which
agrees
closely
with
current
land
surface
models
(102–181
overlaps
top‐down
atmospheric
inversion
(155–200
).
However,
diverged
both
types
spatial
pattern
dynamics
tropical
We
conclude
that
has
potential
to
produce
realistic
extra‐tropical
will
improve
more
data.
To
reduce
upscaled
estimates,
researchers
could
prioritize
along
humid‐to‐arid
climate
gradients,
major
rainforest
basins
(Congo,
Amazon,
SE
Asia),
into
monsoon
(Bangladesh
India)
savannah
(African
Sahel)
be
paired
improved
knowledge
extent
these
regions.
The
monthly
products
gridded
at
0.25°
available
via
ORNL
DAAC
(
https://doi.org/10.3334/ORNLDAAC/2253
Wetlands,
Journal Year:
2025,
Volume and Issue:
45(1)
Published: Jan. 1, 2025
There
are
increasing
global
efforts
and
initiatives
aiming
to
tackle
climate
change
mitigate
its
impacts
via
natural
solutions
(NCS).
Wetlands
have
been
considered
effective
NCS
given
their
capacity
sequester
retain
atmospheric
carbon
dioxide
(CO
Biogeosciences,
Journal Year:
2025,
Volume and Issue:
22(1), P. 323 - 340
Published: Jan. 16, 2025
Abstract.
Wetland
methane
responses
to
temperature
and
precipitation
are
studied
in
a
boreal
wetland-rich
region
northern
Europe
using
ecosystem
process
models.
Six
models
(JSBACH-HIMMELI,
LPX-Bern,
LPJ-GUESS,
JULES,
CLM4.5,
CLM5)
compared
multi-model
means
of
atmospheric
inversions
from
the
Global
Carbon
Project
upscaled
eddy
covariance
flux
results
for
their
seasonal
cycles
regional
fluxes.
Two
with
contrasting
response
patterns,
LPX-Bern
JSBACH-HIMMELI,
used
as
priors
Tracker
Europe–CH4
(CTE-CH4)
order
find
out
how
assimilation
concentration
data
changes
estimates
this
alters
interpretation
precipitation.
Inversion
moves
wetland
emissions
both
towards
co-limitation
by
Between
2000
2018,
periods
high
and/or
often
resulted
increased
emissions.
However,
dry
summer
2018
did
not
result
despite
temperatures.
The
show
strong
(51
%–91
%
variance
explained
both).
month
highest
varies
May
September
among
means,
inversions,
observations
agree
on
maximum
co-limited
setup
different
emission
components
(peatland
emissions,
mineral
land
fluxes)
has
an
important
role
building
up
patterns.
Considering
significant
differences
models,
it
is
essential
pay
more
attention
representation
wet
soils
periodic
flooding
which
contribute
seasonality
magnitude
realistic
dependence
peat
soil
fluxes
also
important.
Furthermore,
use
process-based
descriptions
simulate
climate
drivers.
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.