Shallow
ponds
can
provide
ideal
conditions
for
production
of
greenhouse
gases
(GHGs)
carbon
dioxide
(CO
2
),
methane
(CH
4
and
nitrous
oxide
(N
O),
thus
are
important
to
include
in
global
regional
GHG
budgets.
The
Canadian
Prairie
Pothole
Region
contains
millions
shallow
natural
ponds,
we
investigated
dynamics
145
across
the
region.
Ponds
were
consistently
supersaturated
with
CH
,
often
CO
(57%
occurrence),
undersaturated
N
O
(65%
occurrence).
Spring
measurements
showed
higher
saturation
(
p
=
0.0037)
than
summer,
while
summer
had
<
0.001)
0.023)
spring.
exhibited
large
physicochemical
variation,
yet
sulfate
concentration
pH
strong
predictors
dissolved
respectively.
No
predictor
was
identified
O.
link
between
has
implications
as
low
(<178
mg
L
−1
)
systems
much
more
responsive
changes
temperature.
This
research
fills
an
knowledge
gap
about
prairie
pothole
role
water
chemistry
diffuse
release.
Our
work
also
be
used
ongoing
efforts
describe
ecosystem
services
(or
disservices)
assigned
this
agriculture-dominated
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).
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.
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
Biogeosciences,
Год журнала:
2025,
Номер
22(1), С. 305 - 321
Опубликована: Янв. 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.
Abstract
Understanding
wetland
carbon
stores
and
dynamics
are
critical
to
managing
global
flux.
Non‐floodplain
wetlands
(NFWs)
hydrologically
dynamic
globally
prevalent
inland
distal
fluvial
flowpaths,
lacustrine‐fringing
areas,
geomorphic
floodplains;
>50%
the
world's
remaining
have
been
reported
as
NFWs.
Quantifying
NFW
represents
a
substantive
carbon‐budget
gap.
We
analyze
conterminous‐US
(CONUS)
field‐based
data
collected
from
nearly
2000
sites
sampled
by
National
Wetlands
Condition
Assessment
(NWCA)
representing
∼38
Mha
CONUS
wetlands,
asking:
What
is
mean
soil
organic
density
total
storage
in
different
hydrogeomorphically
classified
types?
To
what
extent
does
NFWs
differ
other
How
vary
between
altered
intact
NFWs?
find
that
relative
types,
carbon‐storing
powerhouses,
containing
approximately
1.5x
per
ha
than
types
sampled.
CONUS‐wide,
store
more
across
every
depth
increment:
∼2.0x
types.
Further,
condition
affects
dynamics:
least
impaired
had
1.6x
found
intermediately
disturbed
1.8x
of
most‐disturbed
These
NWCA
data,
plus
waning
societal
protections,
suggests
releases
destruction
landscapes
likely
increase—perhaps
markedly—in
coming
years
(e.g.,
through
hydrology
affecting
atmospheric
release
NFW‐stored
well
dissolved
export).
Global Change Biology,
Год журнала:
2024,
Номер
30(1)
Опубликована: Янв. 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.
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