Ecology Letters,
Journal Year:
2024,
Volume and Issue:
28(1)
Published: Dec. 31, 2024
Empirical
studies
worldwide
show
that
warming
has
variable
effects
on
plant
litter
decomposition,
leaving
the
overall
impact
of
climate
change
decomposition
uncertain.
We
conducted
a
meta-analysis
109
experimental
across
seven
continents,
using
natural
and
standardised
material,
to
assess
overarching
effect
identify
potential
moderating
factors.
determined
at
least
5.2°
is
required
for
significant
increase
in
decomposition.
Overall,
did
not
have
global
scale.
However,
we
found
reduced
warmer,
low-moisture
areas,
while
it
slightly
increased
colder
regions,
although
this
was
significant.
This
particularly
relevant
given
past
decade's
trend
higher
latitudes
where
large
proportion
terrestrial
carbon
stored.
Future
changes
vegetation
towards
plants
with
lower
quality,
which
were
likely
be
more
sensitive
warming,
could
release
reduce
amount
organic
matter
building
up
soil.
Our
findings
highlight
how
interplay
between
environmental
conditions,
characteristics
improves
predictions
warming's
ecosystem
processes,
emphasising
importance
considering
context-specific
Global Change Biology,
Journal Year:
2022,
Volume and Issue:
28(14), P. 4459 - 4471
Published: April 22, 2022
Low
soil
phosphorus
(P)
bioavailability
causes
the
widespread
occurrence
of
P-limited
terrestrial
ecosystems
around
globe.
Exploring
factors
influencing
P
at
large
spatial
scales
is
critical
for
managing
these
ecosystems.
However,
previous
studies
have
mostly
focused
on
abiotic
factors.
In
this
study,
we
explored
effects
microbial
using
a
country-scale
sampling
effort.
Our
results
showed
that
biomass
carbon
(MBC)
and
acid
phosphatase
were
important
predictors
agro-
natural
across
China
although
they
appeared
less
than
total
P.
The
two
had
positive
effect
both
ecosystem
types
able
to
mediate
several
(e.g.,
mean
annual
temperature).
Meanwhile,
revealed
phytase
could
affect
country
scale
via
ways
similar
those
MBC
phosphatase,
pattern
being
more
pronounced
in
agroecosystems
Moreover,
obtained
evidence
genes
encoding
enzymes
their
sizes
varied
between
types.
Taken
together,
study
demonstrated
remarkable
scale,
highlighting
importance
consider
Ecology Letters,
Journal Year:
2024,
Volume and Issue:
27(5)
Published: May 1, 2024
Abstract
The
breakdown
of
plant
material
fuels
soil
functioning
and
biodiversity.
Currently,
process
understanding
global
decomposition
patterns
the
drivers
such
are
hampered
by
lack
coherent
large‐scale
datasets.
We
buried
36,000
individual
litterbags
(tea
bags)
worldwide
found
an
overall
negative
correlation
between
initial
mass‐loss
rates
stabilization
factors
plant‐derived
carbon,
using
Tea
Bag
Index
(TBI).
factor
quantifies
degree
to
which
easy‐to‐degrade
components
accumulate
during
early‐stage
(e.g.
environmental
limitations).
However,
agriculture
interaction
moisture
temperature
led
a
decoupling
stabilization,
notably
in
colder
locations.
Using
TBI
improved
estimates
natural
litter
compared
models
that
ignored
stabilization.
Ignoring
transformation
dead
more
recalcitrant
substances
decomposition,
control
this
transformation,
could
overestimate
carbon
losses
early
cycle
models.
Ecology Letters,
Journal Year:
2025,
Volume and Issue:
28(4)
Published: April 1, 2025
ABSTRACT
This
study
shows
that
recent
global
analyses
using
the
Tea
Bag
Index
(TBI)
are
influenced
by
methodological
flaws:
(1)
interdependence
of
stabilisation
factor
(
S
)
and
decomposition
constant
k
biases
correlation
analysis,
(2)
derivation
from
separate
curves
causes
their
decoupling,
most
importantly,
(3)
determination
is
inaccurate.
New Phytologist,
Journal Year:
2020,
Volume and Issue:
227(4), P. 995 - 1000
Published: March 5, 2020
Litter
decomposition
is
a
fundamental
process
influencing
carbon
dynamics
and
nutrient
cycling
in
terrestrial
ecosystems.
In
the
20th
century,
it
was
commonly
accepted
that
climate,
litter
quality
soil
biota
hierarchically
influenced
from
large
to
local
scale
(Swift
et
al.,
1979;
Coûteaux
1995).
However,
recent
studies
have
suggested
decomposer
communities
are
much
more
important
driving
than
previously
thought,
mainly
because
aggregate
data
at
spatial
scales
falsely
assumed
represent
causative
relationships
small
(Bradford
2014,
2017).
particular,
microbial
functioning
may
depend
on
complex
interactions
between
decomposers
their
substrates
such
as
plant
(Jackrel
2019;
Lin
2019).
The
home-field
advantage
(HFA)
hypothesis
predicts
efficient
with
litters
they
most
frequently
encounter
(Gholz
2000;
Ayres
2009b;
Austin
2014;
Palozzi
&
Lindo,
2018).
This
has
been
empirically
tested
various
ecosystems
via
reciprocal
transplant
experiments
(Ayres
2009a;
Milcu
Manning,
2011;
Fanin
2016;
Lu
2017;
Veen
2018;
Jackrel
2019),
HFA
shown
increase
rates
by
7.5%
average
(Veen
2015a).
vast
majority
of
demonstrating
effects
used
leaf
litter,
whether
results
consistent
root
seldom
tested.
Fine
roots
account
for
substantial
amount
inputs
ecosystems,
play
major
role
through
afterlife
'effects'
(Jackson
1997,
Freschet
2013).
Because
arise
due
specialization
towards
substrates,
especially
when
substrate
recalcitrant
(Milcu
2011),
should
generate
necessity
synthesize
specific
oxidative
enzymes
breakdown
organic
compounds.
Yet,
very
limited
empirical
evaluating
using
reported
positive,
neutral
or
negative
(Freschet
2012a;
Jacobs
Minerovic
2018),
perhaps
consequence
an
variability
chemistry
'home'
'away'
sites
Hence,
difficult
generalize
decomposition.
Furthermore,
coherent
different
organs
originating
same
species
(e.g.
leaves
roots),
never
evaluated
experiment.
differ
substantially
chemical
compositions
2012b;
Ma
Sun
qualities
stimulate
contrasting
characterized
varying
metabolic
requirements
catabolic
capacities
(Sauvadet
Therefore,
we
hypothesize
concordance
aboveground
belowground
parts
depends
(dis)similarity
roots,
is,
having
greater
similarity
traits
present
relatively
similar
(hypothesis
1).
recalcitrance
thought
be
one
main
drivers
controlling
higher
degree
display
often
2).
We
performed
1132-d
experiment
among
three
forest
collected
dominant
tree
each
site:
broadleaf
(Castanopsis
eyrei),
coniferous
(Cunninghamia
lanceolata)
bamboo
(Phyllostachys
heterocycla
cv
Pubescens)
(see
Supporting
Information
Methods
S1
details
study
sites).
Freshly
fallen
were
traps
prevent
infection
site.
Roots
extracted
washed
sieve
under
running
water.
Fresh
fine
(Ф
<
2
mm)
picked
out
sterilized
chloroform
vapour.
14
related
element
concentration,
stoichiometry
(Table
S1;
about
trait
measurements
S1).
site,
six
randomized
blocks,
distance
least
10
m
block,
selected
litterbag
incubation.
Each
(15
cm
×
mesh
size
25-μm,
which
allows
enter
litterbags),
filled
c.
3.0
g
litters,
labelled
plastic
tag.
Although
fauna
also
significantly
affect
magnitude
some
previous
our
showed
did
not
contribute
(Lin
total,
placed
litterbags
per
type
block
successive
harvests
during
first
year
(94
222
d),
second
(392
583
d)
third
(827
1132
after
start
incubation,
resulting
total
648
this
(three
blocks
types
harvest
times).
Leaf
anchored
floor
buried
soil.
Following
harvest,
samples
cleaned
tap
water,
oven-dried
60°C
48
h
weighed.
mass
loss
(%)
calculated
(Mi
−
Mf)/Mi
100,
where
Mi
Mf
initial
final
dry
mass,
respectively.
ran
nonmetric
multidimensional
scaling
(NMDS)
visualize
variation
types,
then
permutational
multivariate
analysis
variance
(PERMANOVA)
test
significant
species,
organ
interaction
traits.
dissimilarity
Euclidean
distance.
incubation
time
respectively,
analysed
linear
mixed
models
first-order
auto-regressive
structure
temporal
pseudo-replication.
To
improve
reliability
statistical
inference,
parsimonious
based
lowest
AICc
(Akaike's
information
criterion
corrected
sample
sizes).
addition,
index
estimated
regression
model
proposed
Keiser
al.
(2014)
detailed
description
analyses).
NMDS
ordination
separated
well
along
two
axes
(Fig.
1),
associated
known
directly
nutrients
(i.e.
nitrogen
(N),
phosphorus
(P),
potassium
(K),
manganese
(Mn)),
forms
phenols,
lignin,
tannins)
stoichiometric
ratios
(N
:
P,
C
lignin
N)
Melillo
1982;
Keiluweit
2015;
Chomel
differed
(P
0.001;
Table
S2).
S2),
Specifically,
labile
S1),
both
generally
located
high
end
By
contrast,
comparison
low
line
expectations,
exhibited
lower
loss,
respectively
Coniferous
intermediate
litters.
Overall,
concentrations
phenols
tannins
explain
compared
over
course
found
site
effect
(F4,40
=
13.23,
P
suggesting
environment
decomposes
result
its
there
no
0.78,
0.546;
Accordingly,
inconsistent
d
although
varied
order
>
S3),
highest
difference
throughout
decomposition,
but
only
case
displayed
222-d
S3).
these
contradict
predicting
effects,
suggest
microbes
considered.
Interestingly,
rarely
Contrary
hypothesis,
findings
highlight
2015b;
results,
microcosm
field
exhibit
(Jacobs
One
potential
explanation
could
differences
microhabitats
profile.
covered
freshly
rich
compounds,
whereas
within
soil,
matter
heavily
decomposed
(Adl,
2003).
These
resource
conditions
composition
activity
litter–soil
continuum
(Sterkenburg
environments
wider
functional
capacity
those
richer
environments,
meaning
efficiently
decompose
vary
widely
characteristics
(functional
breadth
hypothesis;
2011,
2016),
thereby
decreasing
toward
encounter.
Alternatively,
close
adult
trees
targeted
likely
heterogeneous
includes
many
other
coexisting
species.
adaptation
specialist
individual
might
less
resources
highly
diverse
mixed.
cannot
exclude
microclimatic
profile,
notably
water
content
reduce
(Fanin
2019a).
Additional
simultaneously
manipulating
will
necessary
disentangle
effects.
long-term
experiment,
sought
patterns
roots.
organs,
either
across
underlining
need
considered
separately
substrates.
several
implications.
First,
emphasize
pronounced
roots)
leaves)
2017),
demonstrate
occur
compounds
Second,
decoupling
subsystems
(Cameron
Delgado-Baquerizo
2019b),
finding
begs
question
position
perform
understand
adaption
sustrates.
Finally,
thousand
days
indicating
succession
factor
predict
plant–soil
time.
conclude
plant–microbe
cycling,
strongly
environmental
scale.
research
funded
National
Natural
Science
Foundation
China
(31500356).
authors
thank
Mei
Pan,
Fang
Wang,
Yan
Liu,
Pei
Wang
laboratory
assistance.
Tania
Maxwell
her
help
English
useful
remarks.
Three
anonymous
reviewers
provided
helpful
suggestions
manuscript.
DL
designed
research.
DL,
PD,
GY
HW
input
SQ,
LZ,
YY,
XM
KM.
carried
all
analyses
NF.
NF
wrote
draft
All
contributed
manuscript
completion
revision.
Descriptions
analyses.
Initial
study.
S2
PERMANOVA
statistics
S3
Dissimilarity
types.
S4
Results
selection
procedure
Please
note:
Wiley
Blackwell
responsible
functionality
any
supplied
authors.
Any
queries
(other
missing
material)
directed
New
Phytologist
Central
Office.
publisher
supporting
content)
corresponding
author
article.
The Science of The Total Environment,
Journal Year:
2021,
Volume and Issue:
771, P. 145452 - 145452
Published: Jan. 28, 2021
The
Tea
Bag
Index
(TBI)
method
was
used
to
estimate
the
litter
decomposition
rate
in
peatland
exposed
for
climate
manipulation
(increased
temperature
and
reduced
precipitation)
at
two
contrasting
sites
differing
water
table
depth
(WTD)
dynamics.
To
manipulate
on
peatland,
prototyped
Open
Top
Chambers
(OTC)
automated
rain-out
shelters
were
used.
OTCs
increased
daytime
air
temperatures
by
~1.7
°C
driest
plots
an
increase
of
precipitation,
while
average
daily
lower
than
0.9
°C.
However,
cooled
down
peat
even
0.8
this
effect
most
pronounced
rather
night-time
conditions.
precipitation
amount
26%.
tea
bags
buried
8
cm
83
172
days
starting
from
19th
April
2019.
Our
observation
proved
that
although
rates
dependent
temperature,
WTD
its
fluctuations
are
main
factors
controlling
waterlogged
ecosystems
like
ours.
At
Sphagnum-dominated
peatlands,
interrelation
between
different
environmental
may
mitigate
impact
warming
decomposition.
The Science of The Total Environment,
Journal Year:
2020,
Volume and Issue:
724, P. 138304 - 138304
Published: March 30, 2020
Litter
decomposition
is
an
important
driver
of
soil
carbon
and
nutrient
cycling
in
nutrient-limited
Arctic
ecosystems.
However,
climate
change
expected
to
induce
changes
that
directly
or
indirectly
affect
decomposition.
We
examined
the
direct
effects
long-term
warming
relative
differences
abiotic
properties
associated
with
vegetation
type
on
litter
across
six
subarctic
types.In
types,
rooibos
green
tea
bags
were
buried
for
70-75
days
at
8
cm
depth
inside
warmed
(by
open-top
chambers)
control
plots
had
been
place
20-25
years.
Standardized
initial
rate
stabilization
labile
material
fraction
(into
less
decomposable
material)
calculated
from
mass
losses.
Soil
moisture
temperature
measured
bi-weekly
during
summer
plant-available
nutrients
resin
probes.Initial
was
decreased
by
treatment.
Stabilization
affected
determined
moisture.
metal
concentrations
impeded
both
stabilization.While
a
warmer
will
likely
have
rates
tundra,
organic
matter
more
parameters
prone
be
warming.
Frontiers in Forests and Global Change,
Journal Year:
2021,
Volume and Issue:
4
Published: July 14, 2021
Litter
decomposition
is
a
key
process
for
carbon
and
nutrient
cycling
in
terrestrial
ecosystems
mainly
controlled
by
environmental
conditions,
substrate
quantity
quality
as
well
microbial
community
abundance
composition.
In
particular,
the
effects
of
climate
atmospheric
nitrogen
(N)
deposition
on
litter
its
temporal
dynamics
are
significant
importance,
since
their
might
change
over
course
process.
Within
TeaComposition
initiative,
we
incubated
Green
Rooibos
teas
at
524
sites
across
nine
biomes.
We
assessed
how
macroclimate
inorganic
N
under
current
predicted
scenarios
(RCP
2.6,
RCP
8.5)
affect
mass
loss
measured
after
3
12
months.
Our
study
shows
that
early
to
mid-term
global
scale
was
affected
predominantly
(explaining
73%
62%
total
variance
months,
respectively)
followed
deposition.
The
were
not
litter-specific
became
increasingly
progressed,
with
MAP
explaining
2%
MAT
4%
variation
months
incubation.
effect
litter-specific,
only
12-month
tea
scale.
However,
temperate
biome
where
rates
relatively
high,
decreased
significantly
increasing
deposition,
9.5%
1.1%
variance,
respectively.
expected
changes
end
this
century
estimated
increase
easily
decomposable
1.1–3.5%
more
stable
substrates
3.8–10.6%,
relative
loss.
contrast,
will
decrease
high-quality
1.4–2.2%
low-quality
0.9–1.5%
biome.
results
suggest
projected
increases
may
have
capacity
dampen
climate-driven
depending
stage
substrate.