Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(22)
Published: Nov. 22, 2024
Abstract
Forecasts
of
root
growth
and
carbon
sequestration
under
global
change
are
compromised
by
uncertainty
in
how
plants
will
allocate
biomass
between
above
belowground
pools.
Here,
we
develop
a
simple
model
to
assess
whether
functional
balance
theory
can
explain
complex
allocation
response
observed
brackish
marsh
experimental
warming
elevated
CO
2
.
Our
shows
treatment‐driven
changes
nitrogen
supply
demand
divergent
observations
(i.e.,
maximum
responses
intermediate
).
The
also
reveals
surprising
interaction
eutrophication,
where
enhanced
N
loading
coastal
marshes
may
reduce
adverse
impacts
on
growth.
findings
provide
mechanistic
basis
for
incorporating
into
forecast
models
evolution.
They
general
example
using
ecological
decompose
net
multi‐factor
experiments
constituent
processes.
The Innovation,
Journal Year:
2023,
Volume and Issue:
4(5), P. 100481 - 100481
Published: July 21, 2023
To
achieve
the
Paris
Agreement,
China
pledged
to
become
"Carbon
Neutral"
by
2060s.
In
addition
massive
decarbonization,
this
would
require
significant
changes
in
ecosystems
toward
negative
CO
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.
Coastal
wetlands,
including
tidal
marshes,
mangrove
forests
and
flats,
support
the
livelihoods
of
millions
people.
Understanding
resilience
coastal
wetlands
to
increasing
number
intensity
anthropogenic
threats
(such
as
habitat
conversion,
pollution,
fishing
climate
change)
can
inform
what
conservation
actions
will
be
effective.
In
this
Review,
we
synthesize
their
through
lens
scale.
Over
decades
centuries,
have
unfolded
across
local,
regional
global
scales,
reducing
both
extent
quality
wetlands.
The
existing
is
driven
by
quality,
which
modulated
physical
conditions
sediment
supply)
ecological
species
interactions
operating
from
local
scales).
Protection
restoration
efforts,
however,
are
often
localized
focus
on
future
depend
an
improved
understanding
resilience,
society's
enhance
different
scales.
important
ecosystems
around
world
under
threat.
This
Review
explores
multiple
drivers
change
priorities.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2023,
Volume and Issue:
379(1893)
Published: Nov. 13, 2023
Cities
across
the
globe
are
driving
systemic
change
in
social
and
ecological
systems
by
accelerating
rates
of
interactions
intensifying
links
between
human
activities
Earth's
ecosystems,
thereby
expanding
scale
influence
on
fundamental
processes
that
sustain
life.
Increasing
evidence
shows
cities
not
only
alter
biodiversity,
they
genetic
makeup
many
populations,
including
animals,
plants,
fungi
microorganisms.
Urban-driven
rapid
evolution
species
traits
might
have
significant
effects
socially
relevant
ecosystem
functions
such
as
nutrient
cycling,
pollination,
water
air
purification
food
production.
Despite
increasing
causing
evolutionary
change,
current
urban
sustainability
strategies
often
overlook
these
dynamics.
The
dominant
perspectives
guide
essentially
static,
focusing
preserving
biodiversity
its
present
state
or
restoring
it
to
pre-urban
conditions.
This
paper
provides
a
overview
socio-eco-evolutionary
transition
associated
with
global
urbanization.
Using
examples
observed
changes
play
role
maintaining
function
resilience,
I
propose
significantly
impact
sustainability.
Incorporating
an
eco-evolutionary
perspective
into
science
planning
is
crucial
for
effectively
reimagining
Anthropocene.
article
part
theme
issue
‘Evolution
sustainability:
gathering
strands
Anthropocene
synthesis’.
Fractal and Fractional,
Journal Year:
2024,
Volume and Issue:
8(1), P. 39 - 39
Published: Jan. 5, 2024
The
temporal
evolution
of
the
global
mean
sea
level
(GMSL)
is
investigated
in
present
analysis
using
monthly
values
obtained
from
two
sources:
a
reconstructed
dataset
and
satellite
altimeter
dataset.
To
this
end,
we
use
well-known
techniques,
detrended
fluctuation
(DFA)
multifractal
DFA
(MF-DFA),
to
study
scaling
properties
time
series
considered.
main
result
that
power-law
long-range
correlations
multifractality
apply
both
data
sets
level.
In
addition,
revealed
nearly
identical
features
for
134-year
last
28-year
GMSL-time
series,
possibly
suggesting
stem
more
natural
causes.
This
demonstrates
relationship
between
climate
change
sea-level
anomalies
needs
extensive
research
future
due
importance
their
indirect
processes
ecology
conservation.
Journal of Geophysical Research Biogeosciences,
Journal Year:
2024,
Volume and Issue:
129(4)
Published: April 1, 2024
Abstract
Marsh
accretion
models
predict
the
resiliency
of
coastal
wetlands
and
their
ability
to
store
carbon
in
face
accelerating
sea
level
rise.
Most
existing
marsh
are
derived
from
two
parent
models:
Equilibrium
Model,
which
formalizes
biophysical
relationships
between
rise,
dominant
macrophyte
growth,
elevation
change;
Cohort
Theory
how
mass
pools
belowground
contribute
soil
volume
expansion
over
time.
While
there
several
models,
application
these
by
a
broader
base
researchers
practitioners
is
hindered
because
(a)
limited
descriptions
empirically
ecological
mechanism
informed
development
(b)
limitations
apply
geographies
with
variable
tidal
regimes,
(c)
lack
open‐source
code
models.
Here,
we
provide
for
first
time
an
explicit
description
mathematical
version
Model
numerical
combined
model:
(CMEM)
accompanying
R
package,
rCMEM
.
We
show
that,
through
this
“depth‐aware”
model,
can
capture
variation
impacts
broad
patterns
sequestration
across
United
States.
The
model
will
likely
be
imperative
predicting
fate
state
ecosystem
services
they
era
rapid
environmental
change.
