Abstract.
Leaf
stoichiometric
traits
are
central
to
ecosystem
function
and
biogeochemical
cycling,
yet
no
accepted
theory
predicts
their
variation
along
environmental
gradients.
Using
data
in
the
China
Plant
Trait
Database
version
2,
we
aimed
characterize
leaf
carbon
nitrogen
per
unit
mass
(Cmass,
Nmass)
ratio,
test
an
eco-evolutionary
optimality
model
for
Nmass.
Community-mean
trait
values
were
related
climate
variables
by
multiple
linear
regression.
Climatic
optima
tolerances
of
major
genera
estimated;
Pagel’s
λ
was
used
quantify
phylogenetic
controls,
Bayesian
mixed
models
assess
contributions
climate,
species
identity
phylogeny.
Optimality-based
predictions
community-mean
Nmass
compared
observed
values.
All
showed
strong
signals.
Climate
explained
only
18
%
C
:
N
ratio
among
but
45
communities,
highlighting
role
taxonomic
replacement
mediating
community-level
responses.
Geographic
distributions
deciduous
taxa
separated
primarily
moisture,
evergreens
temperature.
Cmass
increased
with
irradiance,
decreased
moisture
declined
all
three
variables.
variations
dominated
The
coefficients
relating
maximum
carboxylation
capacity
at
25
°C
(Vcmax25)
area
(Ma)
influenced
index.
captured
68
53
between
communities
Vcmax25Ma
respectively,
30
We
conclude
that
gradients
achieved
largely
selection
clades
different
characteristic
Variations
mainly
determined
Nmass,
optimality-based
modelling
shows
useful
predictive
ability
These
findings
should
help
improve
representation
coupling
models.
Functional Ecology,
Journal Year:
2024,
Volume and Issue:
38(5), P. 1018 - 1031
Published: Feb. 6, 2024
Abstract
Nutrient
cycling
through
leaf
litter
consumption
is
an
essential
ecological
function
performed
by
macrodetritivorous
invertebrates
such
as
isopods
and
millipedes.
Leaf
rates
can
vary
greatly
depending
on
the
environment,
consumer
identity
traits,
but
generalizations
about
effects
of
plant
traits
macrodetritivore
consumption,
assimilation
growth
are
not
well
established
mostly
indirectly
inferred.
We
conducted
a
systematic
search
global
literature
obtained
456
standardized
measures
from
laboratory
experiments
relative
(RCR),
(RAR)
(RGR)
terrestrial
millipedes,
extracted
56
different
articles.
investigated
if
commonly
measured
functional
groups,
prior
microbial
conditioning
leaves
climatic
conditions
affected
these
rates.
data
TRY
trait
database,
inferred
groups
taxonomic
groupings
information
reported
within
RCR,
RAR
RGR
varied
among
species,
overall,
there
were
no
differences
between
Microbial
increased
RCR.
Plant
group
was
important
predictor
with
eudicot
trees
forbs
being
consumed
in
greater
quantities
than
magnoliid
grasses.
Fresh
N:P
ratio
had
positive
effect
RAR,
N
C:N
negative
RGR,
respectively,
while
variables
weak
three
Our
work
shows
that
(both
those
associated
traits)
exert
strong
resource
processing
macrodetritivores.
Further,
has
large
globally
consistent
suggesting
they
may
consume
little,
any,
freshly
senesced
material
when
microbially
conditioned
available.
results
suggest
that,
where
extremes
temperature
or
precipitation
do
occur,
reflective
food
quality
(leaf
microbe
conditioning)
more
drivers
extrinsic
variables.
Read
free
Plain
Language
Summary
for
this
article
Journal
blog.
Forests,
Journal Year:
2024,
Volume and Issue:
15(3), P. 437 - 437
Published: Feb. 25, 2024
Populus
euphratica,
a
key
tree
species
in
the
ecologically
fragile
area
of
Tarim
River
Basin,
plays
crucial
role
maintaining
ecological
balance
desert.
In
order
to
explore
response
euphratica
leaves
river
water
resources
and
drought
climate
change,
complex
topological
relationship
between
leaf
traits
was
comprehensively
analyzed
by
establishing
trait
network
mainstream
River,
central
that
play
regulating
phenotype
were
identified.
The
adaptation
strategies
different
environments
clarified
from
perspective
overall
network.
results
show
that,
with
decrease
flow,
internal
coordination
weakened,
forming
looser
structure.
hyper-arid
region,
more
independent,
simpler,
it
easier
for
coordinate
aggregation
specific
traits.
Leaf
thickness
related
photosynthetic
are
adaptive
strategies,
particularly
cuticle
midvein
vascular
bundle
area.
anatomical
critical
than
stoichiometry
resistance.
Leaves
tend
give
priority
structural
adjust
their
modularization
through
substitution
strategy
manage
conditions.
Scientific Data,
Journal Year:
2022,
Volume and Issue:
9(1)
Published: Dec. 15, 2022
Plant
functional
traits
represent
adaptive
strategies
to
the
environment,
linked
biophysical
and
biogeochemical
processes
ecosystem
functioning.
Compilations
of
trait
data
facilitate
research
in
multiple
fields
from
plant
ecology
through
land-surface
modelling.
Here
we
present
version
2
China
Trait
Database,
which
contains
information
on
morphometric,
physical,
chemical,
photosynthetic
hydraulic
1529
unique
species
140
sites
spanning
a
diversity
vegetation
types.
Version
has
five
improvements
compared
previous
version:
(1)
new
4-km
elevation
transect
edge
Tibetan
Plateau,
including
alpine
types
not
sampled
previously;
(2)
inclusion
related
processes,
specific
sapwood
conductance,
area
ratio
leaf,
wood
density
turgor
loss
point;
(3)
soil
properties
complement
existing
climate
(4)
assessments
flagging
reliability
individual
measurements;
(5)
standardized
templates
for
systematical
field
sampling
measurements.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: July 16, 2024
Understanding
the
mechanisms
controlling
forest
carbon
accumulation
is
crucial
for
predicting
and
mitigating
future
climate
change.
Yet,
it
remains
unclear
whether
dominance
of
ectomycorrhizal
(EcM)
trees
influences
entire
forests.
In
this
study,
we
analyzed
inventory
data
from
over
4000
plots
across
Northeast
China.
We
find
that
EcM
tree
consistently
exerts
a
positive
effect
on
tree,
soil,
stocks.
Moreover,
observe
these
effects
are
more
pronounced
during
unfavorable
conditions,
at
lower
species
richness,
early
successional
stages.
This
underscores
potential
increasing
native
not
only
to
enhance
stocks
but
also
bolster
resilience
against
change
in
high-latitude
Here
show
managers
can
make
informed
decisions
optimize
by
considering
various
factors
such
as
mycorrhizal
types,
climate,
stages,
richness.
Journal of Ecology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 27, 2024
Abstract
Plant
flammability
is
strongly
influenced
by
functional
traits,
meaning
that
the
quantitative
measurement
of
trait–flammability
relationships
key
to
understanding
why
some
species
burn
better
than
others.
While
between
and
leaf
traits
are
well‐studied,
role
architectural
has
rarely
been
assessed.
Shoots
preserve
architecture
plants;
therefore,
shoot‐level
offer
great
promise
for
determining
relative
influence
fuel
on
flammability.
We
quantified
plant
burning
70‐cm‐long
shoot
samples
from
65
indigenous
exotic
New
Zealand
trees
shrubs
measured
a
range
same
individuals.
The
species'
evolutionary
history
variation
was
also
quantified.
Most
in
explained
between‐species
differences.
No
significant
phylogenetic
signal
detected
variables
this
study.
Fuel
flammability,
along
with
high
proportion
(41%–54%)
variation.
Branching
patterns
(number
ramifications
sub‐branches)
trait
positively
correlated
Other
such
as
foliage
twig
fraction
mass,
bulk
density
were
significantly
associated
variables.
Leaf
dry
matter
content
(LDMC;
positive
relationship)
thickness
(negative
most
Synthesis
.
Our
study
addresses
knowledge
gap
demonstrating
improves
our
certain
(e.g.
highly
branched)
However,
(LDMC)
emerged
having
relatively
stronger
traits.
Where
available,
LDMC,
branching
pattern
can
be
effective
surrogates
used
improve
global
dynamic
vegetation
models
fire
behaviour
models.
several
time‐consuming
measure,
so
where
they
not
it
will
quicker
simply
measure
EarthArXiv (California Digital Library),
Journal Year:
2023,
Volume and Issue:
unknown
Published: April 14, 2023
Foliar
traits
such
as
specific
leaf
area
(SLA),
nitrogen
(N)
and
phosphorus
(P)
concentrations
play
an
important
role
in
plant
economic
strategies
ecosystem
functioning.
Various
global
maps
of
these
foliar
have
been
generated
using
statistical
upscaling
approaches
based
on
in-situ
trait
observations.Here,
we
intercompare
upscaled
at
0.5°
spatial
resolution
(six
for
SLA,
five
N,
three
P),
categorize
the
used
to
generate
them,
evaluate
with
estimates
from
a
database
vegetation
plots
(sPlotOpen).
We
disentangled
contributions
different
functional
types
(PFTs)
characterized
differences
between
two
metrics:
community
weighted
mean
(CWM)
top-of-canopy
(TWM).We
found
that
SLA
N
differ
drastically
fall
into
groups
are
almost
uncorrelated
(for
P
only
one
group
were
available).
The
primary
factor
explaining
is
exclusive
use
PFT
information
combined
remote
sensing-derived
land
cover
products
while
other
mostly
relied
environmental
predictors.
impact
TWM
or
CWM
patterns
was
considerably
smaller
than
including
information.
exhibit
considerable
similarities
strongly
driven
by
cover.
not
PFTs
show
lower
level
similarity
tend
be
individual
variables.Overall,
better
reproduce
between-PFT
distributions
plot-level
sPlotOpen
data,
performed
similarly
capturing
within-PFT
variation.
Upscaled
both
moderately
correlated
grid-cell-level
data
(R
=
0.2-0.6),
overall
higher
correlations
N.Our
findings
highlight
importance
explicitly
accounting
within-grid-cell
variation,
which
has
implications
applications
existing
future
efforts.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: April 1, 2025
ABSTRACT
Specific
leaf
area
(SLA,
per
unit
dry
mass)
occupies
a
central
position
in
both
community
assembly
and
ecosystem
functioning.
Although
SLA
has
significant
phylogenetic
signals,
how
to
what
extent
the
evolutionary
history
influences
variation
remain
poorly
understood.
In
this
study,
based
on
dataset
containing
1264
plant
species
belonging
549
genera
141
families
gymnosperms,
monocots,
eudicots
across
China,
we
analyzed
of
climatic
conditions
soil
properties
SLA,
calculated
signals
quantified
relative
contributions
(represented
by
interspecific
relatedness
intraspecific
variation)
SLA.
The
results
showed
that
accounts
for
50.46%
total
variance
followed
(36.12%),
(30.68%),
(24.74%).
Along
tree,
split
between
angiosperms
gymnosperms
had
largest
contribution
Other
detailed
splits
(e.g.,
monocots
eudicots,
within
Rosidae,
etc.)
but
much
smaller
contributions.
relationship
environmental
variables
(climatic
properties)
was
different
with
having
larger
than
properties,
implying
interactive
effects
environment
Within
woody
angiosperms,
deciduous
evergreen
exhibited
differential
responses
factors,
suggesting
non‐negligible
role
longevity
explaining
Our
highlighted
more
important
previous
studies.
Neglecting
such
great
could
lead
biased
conclusions
if
rate
does
not
keep
pace
rapidly
changing
environments
future.