Abstract.
Wetlands
are
the
largest
natural
source
of
methane
(CH4)
emissions
globally.
Northern
wetlands
(>45°
N),
accounting
for
42
%
global
wetland
area,
increasingly
vulnerable
to
carbon
loss,
especially
as
CH4
may
accelerate
under
intensified
high-latitude
warming.
However,
magnitude
and
spatial
patterns
remain
relatively
uncertain.
Here
we
present
estimates
daily
fluxes
obtained
using
a
new
machine
learning-based
upscaling
framework
(WetCH4)
that
applies
most
complete
database
eddy
covariance
(EC)
observations
available
date,
satellite
remote
sensing
informed
environmental
conditions
at
10-km
resolution.
The
important
predictor
variables
included
near-surface
soil
temperatures
(top
40
cm),
vegetation
reflectance,
moisture.
Our
results,
modeled
from
138
site-years
across
26
sites,
had
strong
predictive
skill
with
mean
R2
0.46
0.62
absolute
error
(MAE)
23
nmol
m-2
s-1
21
monthly
fluxes,
respectively.
Based
on
model
estimated
an
annual
average
20.8
±2.1
Tg
yr-1
northern
region
(2016–2022)
total
budgets
ranged
13.7–44.1
yr-1,
depending
map
extents.
Although
86
budget
occurred
during
May–October
period,
considerable
amount
(1.4
±0.2
CH4)
winter.
Regionally,
West
Siberian
accounted
majority
(51
%)
interannual
variation
in
domain
emissions.
Significant
issues
data
coverage
remain,
only
sites
observing
year-round
11
Alaska
10
bog/fen
Canada
Fennoscandia,
general,
Western
Lowlands
underrepresented
by
EC
sites.
results
provide
high
spatiotemporal
information
cycle
possible
responses
climate
change.
Continued,
all-season
tower
improved
moisture
products
needed
future
improvement
upscaling.
dataset
can
be
found
https://doi.org/10.5281/zenodo.10802154
(Ying
et
al.,
2024).
Abstract.
Wetlands
are
the
largest
natural
source
of
methane
(CH4)
emissions
globally.
Northern
wetlands
(>45°
N),
accounting
for
42
%
global
wetland
area,
increasingly
vulnerable
to
carbon
loss,
especially
as
CH4
may
accelerate
under
intensified
high-latitude
warming.
However,
magnitude
and
spatial
patterns
remain
relatively
uncertain.
Here
we
present
estimates
daily
fluxes
obtained
using
a
new
machine
learning-based
upscaling
framework
(WetCH4)
that
applies
most
complete
database
eddy
covariance
(EC)
observations
available
date,
satellite
remote
sensing
informed
environmental
conditions
at
10-km
resolution.
The
important
predictor
variables
included
near-surface
soil
temperatures
(top
40
cm),
vegetation
reflectance,
moisture.
Our
results,
modeled
from
138
site-years
across
26
sites,
had
strong
predictive
skill
with
mean
R2
0.46
0.62
absolute
error
(MAE)
23
nmol
m-2
s-1
21
monthly
fluxes,
respectively.
Based
on
model
estimated
an
annual
average
20.8
±2.1
Tg
yr-1
northern
region
(2016–2022)
total
budgets
ranged
13.7–44.1
yr-1,
depending
map
extents.
Although
86
budget
occurred
during
May–October
period,
considerable
amount
(1.4
±0.2
CH4)
winter.
Regionally,
West
Siberian
accounted
majority
(51
%)
interannual
variation
in
domain
emissions.
Significant
issues
data
coverage
remain,
only
sites
observing
year-round
11
Alaska
10
bog/fen
Canada
Fennoscandia,
general,
Western
Lowlands
underrepresented
by
EC
sites.
results
provide
high
spatiotemporal
information
cycle
possible
responses
climate
change.
Continued,
all-season
tower
improved
moisture
products
needed
future
improvement
upscaling.
dataset
can
be
found
https://doi.org/10.5281/zenodo.10802154
(Ying
et
al.,
2024).
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 13, 2024
Abstract
The
redox
potential
in
wetland
soils
exerts
strong
control
over
microbial
decomposition
and
consequently
carbon
cycling.
Wetland
plants
influence
by
supplying
both
terminal
electron
acceptors
(i.e.
oxygen)
donors
organic
matter)
to
the
soil.
However,
quantitative
insight
into
plant
effects
on
soil
are
scarce.
We
investigated
reduction
using
IRIS
(Indicator
of
Reduction
Soils)
sticks.
Vegetated
unvegetated
treatments
were
created
along
salt-marsh
flooding
gradients
a
mesocosm
facility
situ.
show
that
presence
resulted
increased
decreased
compared
non-vegetated
controls
study
direction
effect
reducing
versus
oxidizing)
depended
background
conditions
observed
controls.
When
was
high,
tended
act
as
net
oxidizers,
whereas
under
more
oxidizing
acted
reducers
High-resolution
oxygen
profiling
via
planar
optode
imaging
further
supported
these
findings.
Plant
field
negative
across
all
elevational
zones.
attribute
this
comparably
well
aerated
Wadden
Sea
salt
marshes.
correlated
positively
with
belowground
biomass,
indicating
higher
availability
plant-derived
reduction.
Challenging
dominant
paradigm
primarily
our
reveals
their
exert
effect.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 15, 2024
Current
estimates
of
wetland
contributions
to
the
global
methane
budget
carry
high
uncertainty,
particularly
in
accurately
predicting
emissions
from
methane-emitting
wetlands.
Microorganisms
mediate
cycling,
yet
knowledge
their
conservation
across
wetlands
remains
scarce.
To
address
this,
we
integrated
1,118
16S
rRNA
amplicon
datasets
(116
new),
305
metagenomes
(20
new)
that
yielded
4,745
medium
and
high-quality
metagenome
assembled
genomes
(MAGs;
617
133
metatranscriptomes,
annual
flux
data
9
create
Multi-Omics
for
Understanding
Climate
Change
(MUCC)
v2.0.0
database.
This
new
resource
was
leveraged
link
microbiome
compositional
profiles
encoded
functions
emissions,
with
specific
focus
on
methane-cycling
populations
microbial
carbon
decomposition
networks
fuel
them.
We
identified
eight
genera
were
conserved
wetlands,
deciphered
metabolic
interactions
marshes,
revealing
low
methanogen-methanotroph
connectivity
high-emitting
Methanoregula
emerged
as
a
hub
methanogen
strong
predictor
flux,
demonstrating
potential
broad
relevance
methylotrophic
methanogenesis
these
ecosystems.
Collectively,
our
findings
illuminate
trends
between
provide
an
extensive
publicly
available
database
advance
future
research.
Abstract.
For
wetlands
to
serve
as
natural
climate
solutions,
accurate
estimates
of
organic
carbon
(OC)
sequestration
rates
in
wetland
sediments
are
needed.
Dating
using
cesium-137
(137Cs)
and
lead-210
(210Pb)
radioisotopes
is
commonly
used
for
measuring
OC
sediments.
137Cs
radioisotope
dating
relatively
simple,
with
calculations
based
on
a
single
point
representing
the
onset
(1954)
or
peak
(1963)
fallout.
210Pb
more
complex
multiple
points.
Here,
we
show
that
reliable
sediment
cores
collected
from
can
be
achieved
either
dating,
their
combination.
However,
profiles
along
depth
need
screened,
analyzed,
interpreted
carefully
estimate
high
precision.
To
this
end,
propose
decision
framework
screening
into
high-
low-quality
profiles,
compare
1954
1963
time-markers.
Our
findings
suggest
137Cs-
210Pb-based
comparable,
especially
when
(vs.
1954)
time-marker.
Sustainability,
Год журнала:
2024,
Номер
16(15), С. 6301 - 6301
Опубликована: Июль 23, 2024
The
long-term
monitoring
of
wetland
ecosystem
functioning
is
critical
because
wetlands,
which
provide
multiple
services,
can
be
affected
by
human
activities
and
climate
change.
aim
this
study
was
to
monitor
in
the
long
term
using
Landsat
archive.
Four
contrasting,
Ramsar
wetlands
were
selected
boreal,
temperate,
arid,
tropical
areas.
First,
annual
sum
normalized
difference
vegetation
index
(NDVI-I)
calculated
as
an
indicator
net
primary
productivity
for
period
1984–2021
continuous
change
detection
classification
(CCDC)
algorithm.
Next,
influence
number
images
class
land
use
cover
(LULC)
on
accuracy
CCDC
investigated.
Finally,
correlations
between
NDVI-I
analyzed.
results
revealed
that
influenced
mainly
LULC
a
lesser
extent
cloud-free
observations.
Infra-
inter-site
variations
high
showed
overall
increasing
trend.
positively
correlated
with
mean
temperature.
This
shows
approach
applied
contrasting
sites
robust
used
improve
implementation
international
biodiversity
conservation
policies.
Journal of Geophysical Research Biogeosciences,
Год журнала:
2024,
Номер
129(11)
Опубликована: Ноя. 1, 2024
Abstract
Fluxes
of
greenhouse
gases
are
a
critical
component
the
earth's
natural
climate,
but
anthropogenic
emissions
have
created
an
imbalance
and
resulted
in
global
climate
change.
Quantifying
emission
these
is
vital
to
our
understanding
their
sources
sinks,
both
anthropogenic.
The
static
chamber
method,
which
system
interest
enclosed,
gas
concentrations
measured
over
time,
widely
used
estimate
fluxes
gases.
With
development
instruments
such
as
infrared
analyzers
(IRGAs)
supporting
high‐frequency
concentration
data,
there
growing
need
for
open‐source
workflows
calculate
fluxes.
Here
we
present
fluxfinder
,
R
package
designed
support
reproducible
calculations
processing
with
method.
includes
raw
data
file
parsing
from
IRGAs,
metadata
matching,
unit
conversion,
flux
estimations,
initial
quality
assurance/quality
control
(QA/QC).
Diagnostic
graphical
plots
provide
transparent
way
differentiate
between
measurement
issues
nonlinear
behavior.
also
be
easily
integrated
gasfluxes
further
fitting
concentration‐time
models,
allowing
alternative
or
additional
QA/QC.
offers
flexible
workflow
that
adaptable
promote
open
estimations.
