Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
14(5)
Published: May 1, 2024
Abstract
Plants
can
adapt
to
environmental
changes
by
adjusting
their
functional
traits
and
biomass
allocation.
The
size
number
of
flowers
are
related
plant
reproduction.
Life
history
theory
predicts
that
there
is
a
trade‐off
between
flower
number,
the
potentially
explain
adaptability
plants.
Elevation
gradients
in
mountains
provide
unique
opportunity
test
how
plants
will
respond
climate
change.
In
this
study,
we
tried
better
alpine
Gentiana
lawrencei
var.
farreri
response
We
measured
individual
size,
reproductive
allocation
G.
during
flowering
period
along
an
elevation
gradient
from
3200
4000
m,
explored
relationships
using
linear
mixed‐effect
models
structural
equation
model.
found
with
increasing,
decreased
increased,
while
remained
unchanged.
Individual
positively
affected
but
was
not
size;
number;
clear
number.
also
indirectly
via
directly
reducing
size.
sum,
study
suggests
environments
synergies
or
trade‐offs
among
allocation,
This
increases
our
understanding
adaptation
mechanisms
change
environments.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: June 22, 2024
Abstract
Soil
organic
carbon
(SOC)
persistence
is
predominantly
governed
by
mineral
protection,
consequently,
soil
mineral-associated
(MAOC)
and
particulate
(POC)
turnovers
have
different
impacts
on
the
vulnerability
of
SOC
to
climate
change.
Here,
we
generate
global
MAOC
POC
maps
using
8341
observations
then
infer
turnover
times
a
data-model
integration
approach.
Global
storages
are
$${975}_{964}^{987}$$
975964987
Pg
C
(mean
with
5%
95%
quantiles)
$${330}_{323}^{337}$$
330323337
C,
while
mean
$${129}_{45}^{383}$$
12945383
yr
$${23}_{5}^{82}$$
23582
in
top
meter,
respectively.
Climate
warming-induced
acceleration
decomposition
greater
subsoil
than
that
topsoil.
Overall,
atlas
turnover,
together
distributions
stocks,
provide
benchmark
for
Earth
system
models
diagnose
SOC-climate
change
feedback.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Sept. 13, 2024
Microbial
carbon
use
efficiency
(CUE)
affects
the
fate
and
storage
of
in
terrestrial
ecosystems,
but
its
global
importance
remains
uncertain.
Accurately
modeling
predicting
CUE
on
a
scale
is
challenging
due
to
inconsistencies
measurement
techniques
complex
interactions
climatic,
edaphic,
biological
factors
across
scales.
The
link
between
microbial
soil
organic
relies
stabilization
necromass
within
aggregates
or
association
with
minerals,
necessitating
an
integration
processes
approaches.
In
this
perspective,
we
propose
comprehensive
framework
that
integrates
diverse
data
sources,
ranging
from
genomic
information
traditional
assessments,
refine
cycle
models
by
incorporating
variations
CUE,
thereby
enhancing
our
understanding
contribution
cycling.
Global Change Biology,
Journal Year:
2025,
Volume and Issue:
31(1)
Published: Jan. 1, 2025
Soil
microorganisms
transform
plant-derived
C
(carbon)
into
particulate
organic
(POC)
and
mineral-associated
(MAOC)
pools.
While
microbial
carbon
use
efficiency
(CUE)
is
widely
recognized
in
current
biogeochemical
models
as
a
key
predictor
of
soil
(SOC)
storage,
large-scale
empirical
evidence
limited.
In
this
study,
we
proposed
experimentally
tested
two
predictors
POC
MAOC
pool
formation:
necromass
(using
amino
sugars
proxy)
CUE
(by
18O-H2O
approach).
sampling
(0-10
10-20
cm
depth)
was
conducted
along
climatic
transect
900
km
on
the
Loess
Plateau,
including
cropland,
grassland,
shrubland,
forest
ecosystems,
to
ensure
homogeneous
parent
material.
We
found
highest
accumulation
occurred
zones
MAT
between
5°C
10°C
or
MAP
300
500
mm.
Microbial
more
positively
related
than
(p
<
0.05),
suggesting
that
residues
may
improve
strongly
compared
pool.
Random
linear
regression
analyses
showed
increased
with
fungal
C,
whereas
bacterial
drove
MAOC.
coupled
0.05)
but
decoupled
SOC
>
0.05).
The
have
faster
turnover
rate
due
lack
clay
protection,
which
lead
rapid
thus
their
decoupling
from
CUE.
sense,
driven
by
necromass,
explains
dynamics.
Our
findings
highlight
insufficiency
relying
solely
predict
bulk
storage.
Instead,
propose
should
be
used
together
explain
dynamics,
each
influencing
distinct
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 2, 2025
Effective
soil
organic
carbon
(SOC)
management
can
mitigate
the
impact
of
climate
warming.
However,
response
different
SOC
fractions
to
warming
in
abandoned
croplands
remains
unclear.
Here,
categorizing
into
particulate
and
mineral-associated
(POC
MAOC)
with
physical
fractionation,
we
investigate
responses
POC
MAOC
content
temperature
sensitivity
(Q10)
through
a
3-year
situ
experiment
(+1.6
°C)
across
12
sites
China
(latitude:
22.33–46.58°N).
Our
results
indicate
that
unchanged
while
significantly
increases
under
changes
are
mainly
influenced
by
root
biomass
microbial
necromass
changes,
respectively.
The
Q10
is
lower
than
regardless
or
control
treatment,
suggesting
represents
most
persistent
least
vulnerable
fraction
within
SOC.
Collectively,
sequestration
stable
be
enhanced
short-term
Natural
recovery
generally
benefits
accrual
croplands,
but
on
this
ecosystem
authors
showed
enhances
these
lands.
Global Change Biology,
Journal Year:
2024,
Volume and Issue:
30(8)
Published: Aug. 1, 2024
Soil
microbial
traits
and
functions
play
a
central
role
in
soil
organic
carbon
(SOC)
dynamics.
However,
at
the
macroscale
(regional
to
global)
it
is
still
unresolved
whether
(i)
specific
environmental
attributes
(e.g.,
climate,
geology,
types)
or
(ii)
community
composition
drive
key
directly.
To
address
this
knowledge
gap,
we
used
33
grassland
topsoils
(0-10
cm)
from
geoclimatic
gradient
Chile.
First,
incubated
soils
for
1
week
favorable
standardized
conditions
quantified
wide
range
of
such
as
biomass
(MBC),
enzyme
kinetics,
respiration,
growth
rates
well
use
efficiency
(CUE).
Second,
characterized
climatic
physicochemical
properties
bacterial
fungal
soils.
We
then
applied
regression
analysis
investigate
how
strongly
measured
were
linked
with
setting
versus
composition.
show
that
(predominantly
amount
matter)
determined
patterns
MBC
along
gradient,
which
turn
explained
respiration
rates.
normalized
(i.e.,
growth)
more
than
attributes.
Notably,
both
followed
distinct
trends
related
different
parts
community,
resulted
strong
effects
on
CUE.
conclude
even
macroscale,
CUE
result
physiologically
decoupled
aspects
metabolism,
partially
by
The
affect
functions,
therefore
factors
need
be
considered
context
SOC