Biogeosciences,
Journal Year:
2025,
Volume and Issue:
22(2), P. 435 - 453
Published: Jan. 24, 2025
Abstract.
Environmental
gradients
can
affect
organic
matter
decay
within
and
across
wetlands
contribute
to
spatial
heterogeneity
in
soil
carbon
stocks.
We
tested
the
sensitivity
of
rates
tidal
flooding
depth
a
minerogenic
salt
marsh
using
Tea
Bag
Index
(TBI).
bags
were
buried
at
10
50
cm
depths
an
elevation
gradient
subtropical
Spartina
alterniflora
Georgia
(USA).
Plant
animal
communities
properties
characterized
once,
while
replicate
tea
porewaters
collected
several
times
over
1
year.
TBI
faster
than
prior
litterbag
studies
same
marsh,
largely
due
rapid
green
loss.
Rooibos
more
comparable
natural
litter,
potentially
suggesting
that
is
useful
as
standardized
proxy
tea.
Decay
was
slowest
higher
elevations
not
consistently
related
other
biotic
(e.g.,
plants,
crab
burrows)
or
abiotic
factors
porewater
chemistry),
indicating
local
hydrology
strongly
affected
loss
rates.
32
%–118
%
horizon
cm.
Rates
fastest
first
3
months
slowed
54
%–60
both
between
6
months.
further
12
months,
but
this
muted
(17
%)
compared
(50
%).
Slower
with
time
unlikely
stabilization
factor,
which
similar
decreased
from
demonstrates
constrained
by
environmental
conditions
deeper
rather
composition
highly
litter.
Overall,
these
patterns
suggest
hydrological
setting,
affects
oxidant
introduction
reactant
removal
often
overlooked
decomposition
studies,
may
be
particularly
important
control
on
short
term
(3–12
months).
Science,
Journal Year:
2023,
Volume and Issue:
379(6630), P. 393 - 398
Published: Jan. 26, 2023
Rapid
evolution
remains
a
largely
unrecognized
factor
in
models
that
forecast
the
fate
of
ecosystems
under
scenarios
global
change.
In
this
work,
we
quantified
roles
heritable
variation
plant
traits
and
trait
explaining
variability
forecasts
state
coastal
wetland
ecosystems.
A
common
garden
study
genotypes
dominant
sedge
Schoenoplectus
americanus
,
“resurrected”
from
time-stratified
seed
banks,
revealed
explained
key
ecosystem
attributes
such
as
allocation
distribution
belowground
biomass.
Incorporating
into
an
model
altered
predictions
carbon
accumulation
soil
surface
accretion
(a
determinant
marsh
resilience
to
sea
level
rise),
demonstrating
importance
accounting
for
evolutionary
processes
when
forecasting
dynamics.
Global Change Biology,
Journal Year:
2024,
Volume and Issue:
30(2)
Published: Feb. 1, 2024
Abstract
Wetlands
are
the
largest
natural
source
of
methane
(CH
4
)
globally.
Climate
and
land
use
change
expected
to
alter
CH
emissions
but
current
future
wetland
budgets
remain
uncertain.
One
important
predictor
flux,
plants,
play
an
role
in
providing
substrates
for
‐producing
microbes,
increasing
consumption
by
oxygenating
rhizosphere,
transporting
from
soils
atmosphere.
Yet,
there
various
mechanistic
knowledge
gaps
regarding
extent
which
plant
root
systems
their
traits
influence
emissions.
Here,
we
present
a
novel
conceptual
framework
relationships
between
range
processes
wetlands.
Based
on
literature
review,
propose
four
main
‐relevant
categories
function:
gas
transport,
carbon
substrate
provision,
physicochemical
influences
system
architecture.
Within
these
categories,
discuss
how
individual
production,
consumption,
transport
(PCT).
Our
findings
reveal
concerning
trait
functions
influences,
mycorrhizae
temporal
dynamics
PCT.
We
also
identify
priority
research
needs
such
as
integrating
measurements
different
function
measuring
root‐CH
linkages
along
environmental
gradients,
following
standardized
ecology
protocols
vocabularies.
Thus,
our
identifies
relevant
belowground
that
will
help
improve
predictions
reduce
uncertainties
budgets.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: April 29, 2024
Abstract
Heterotrophic
activity,
primarily
driven
by
sulfate-reducing
prokaryotes,
has
traditionally
been
linked
to
nitrogen
fixation
in
the
root
zone
of
coastal
marine
plants,
leaving
role
chemolithoautotrophy
this
process
unexplored.
Here,
we
show
that
sulfur
oxidation
coupled
is
a
previously
overlooked
providing
macrophytes.
In
study,
recovered
239
metagenome-assembled
genomes
from
salt
marsh
dominated
foundation
plant
Spartina
alterniflora
,
including
diazotrophic
and
sulfur-oxidizing
bacteria.
Abundant
bacteria
encode
highly
express
genes
for
carbon
(
RuBisCO
),
nifHDK
)
(oxidative-
dsrAB
especially
roots
stressed
sulfidic
reduced
sediment
conditions.
Stressed
exhibited
highest
rates
expression
level
sulfate
reduction
genes.
Close
relatives
symbionts
Candidatus
Thiodiazotropha
genus
contributed
~30%
~20%
all
dsrA
nitrogen-fixing
nifK
transcripts
roots,
respectively.
Based
on
these
findings,
propose
symbiosis
between
S.
key
ecosystem
functioning
marshes.
Environmental Science & Technology,
Journal Year:
2024,
Volume and Issue:
58(2), P. 1152 - 1163
Published: Jan. 3, 2024
Coastal
wetlands
are
hotspots
for
methane
(CH4)
production,
reducing
their
potential
global
warming
mitigation.
Nitrite/nitrate-dependent
anaerobic
oxidation
(n-DAMO)
plays
a
crucial
role
in
bridging
carbon
and
nitrogen
cycles,
contributing
significantly
to
CH4
consumption.
However,
the
of
n-DAMO
emissions
coastal
is
poorly
understood.
Here,
ecological
functions
process
different
saltmarsh
vegetation
habitats
as
well
bare
mudflats
were
quantified,
underlying
microbial
mechanisms
explored.
Results
showed
that
rates
higher
vegetated
(Scirpus
mariqueter
Spartina
alterniflora)
than
those
(P
<
0.05),
leading
an
enhanced
contribution
Compared
with
other
habitats,
total
was
lower
Phragmites
australis
wetland
(15.0%),
where
primarily
driven
by
ferric
iron
(Fe3+).
Genetic
statistical
analyses
suggested
roles
various
may
be
related
divergent
communities
environmental
parameters
such
sediment
pH
organic
carbon.
This
study
provides
important
scientific
basis
more
accurate
estimation
mitigating
climate
change.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 8, 2024
The
Middle
East
has
major
sources
of
anthropogenic
carbon
dioxide
(CO
2
)
emissions,
but
a
dearth
ground-based
measurements
precludes
an
investigation
its
regional
and
temporal
variability.
This
is
achieved
in
this
work
with
satellite-derived
estimates
from
the
Orbiting
Carbon
Observatory-2
(OCO-2)
OCO-3
missions
September
2014
to
February
2023.
annual
maximum
minimum
column
(XCO
concentrations
are
generally
reached
spring
autumn,
respectively,
typical
seasonal
cycle
amplitude
3–8
±
0.5
ppmv
Arabian
Peninsula
rising
8–10
1
mid-latitudes.
A
comparison
seasonal-mean
XCO
values
CO
emissions
estimated
using
divergence
method
stresses
role
played
by
transport
spatial
distribution
,
prevailing
arid
semi-arid
regions
that
lack
persistent
vegetation.
In
8-year
period
2015–2022,
concentration
United
Arab
Emirates
(UAE)
increased
at
rate
about
2.50
0.04
ppmv/year,
trend
empirical
orthogonal
function
technique
revealing
hotspot
over
northeastern
UAE
southern
Iran
summer
where
peak
accumulate
aided
low-level
wind
convergence.
used
drive
climate
change
models
for
different
emission
scenarios
revealed
latter
overestimated,
differences
exceeding
10
2022.
excess
amount
can
lead
over-prediction
projected
increase
temperature
region,
aspect
needs
be
investigated
further.
need
observational
network
greenhouse
gas
better
understand
variability
evaluation
remote
sensing
observations
as
well
models.
Journal of Advances in Modeling Earth Systems,
Journal Year:
2024,
Volume and Issue:
16(4)
Published: April 1, 2024
Abstract
Redox
processes,
aqueous
and
solid‐phase
chemistry,
pH
dynamics
are
key
drivers
of
subsurface
biogeochemical
cycling
methanogenesis
in
terrestrial
wetland
ecosystems
but
typically
not
included
carbon
cycle
models.
These
omissions
may
introduce
errors
when
simulating
systems
where
redox
interactions
fluctuations
important,
such
as
wetlands
saturation
soils
can
produce
anoxic
conditions
coastal
sulfate
inputs
from
seawater
influence
biogeochemistry.
Integrating
redox‐sensitive
elements
could
therefore
allow
models
to
better
represent
greenhouse
gas
production.
We
describe
a
model
framework
that
couples
the
Energy
Exascale
Earth
System
Model
(E3SM)
Land
(ELM)
with
PFLOTRAN
biogeochemistry,
allowing
geochemical
processes
be
integrated
land
surface
simulations.
implemented
reaction
network
including
aerobic
decomposition,
fermentation,
reduction,
sulfide
oxidation,
methanogenesis,
methanotrophy
well
along
iron
oxide
mineral
precipitation
dissolution.
simulated
tidal
subject
either
saltwater
or
freshwater
driven
by
hydrological
dynamics.
In
simulations
inputs,
reduction
led
accumulation
sulfide,
higher
dissolved
inorganic
concentrations,
lower
organic
methane
emissions
than
inputs.
compared
measured
porewater
concentrations
Northeastern
United
States.
results
demonstrate
how
networks
improve
biogeochemistry
cycling.