Leaf-scale
photosynthetic
optimization
models
can
quantitatively
predict
acclimation
and
have
become
an
important
means
of
improving
vegetation
land
surface
models.
Previous
generally
been
based
on
the
optimality
assumption
maximizing
net
assimilation
per
unit
leaf
area
(i.e.
area-based
optimality)
while
overlooking
other
assumptions
such
as
dry
mass
mass-based
optimality).
This
paper
compares
predicted
results
to
different
environmental
conditions
between
The
predictions
are
then
verified
using
observational
data
from
literatures.
model
better
growth
light
intensity,
air
temperature
CO
Communications Earth & Environment,
Год журнала:
2025,
Номер
6(1)
Опубликована: Янв. 10, 2025
Abstract
Vegetation
cover
regulates
the
exchanges
of
energy,
water
and
carbon
between
land
atmosphere.
Remotely-sensed
fractional
absorbed
photosynthetically
active
radiation
(fAPAR),
a
land-surface
greenness
measure,
depends
on
allocation
to
foliage
while
also
controlling
photon
flux
for
photosynthesis.
Here
we
use
an
equation
with
just
two
globally
fitted
parameters
describe
annual
maximum
fAPAR
as
smaller
water-limited
value
transpiring
constant
fraction
precipitation,
energy-limited
maximizing
plant
growth.
This
minimalist
description
reproduces
global
patterns
temporal
trends
in
remote-sensing
data,
comparable
best-performing
dynamic
vegetation
models.
Widely
observed
greening
is
attributed
principally
influence
rising
dioxide
light-
water-use
efficiencies
photosynthesis;
limited
browning
regions
are
drying.
research
provides
one
key
component
ecosystem
function
step
towards
more
robust
foundations
new-generation
Journal of Ecology,
Год журнала:
2022,
Номер
110(6), С. 1344 - 1355
Опубликована: Март 22, 2022
Leaf
morphological
traits
vary
systematically
along
climatic
gradients.
However,
recent
studies
in
plant
functional
ecology
have
mainly
analysed
quantitative
traits,
while
numerical
models
of
species
distributions
and
vegetation
function
focused
on
associated
with
resource
acquisition;
both
ignore
the
wider
significance
leaf
morphology.A
dataset
comprising
22
for
662
woody
from
92
sites,
representing
all
biomes
present
China,
was
subjected
to
multivariate
analysis
order
identify
leading
dimensions
trait
covariation
(correspondence
analysis),
quantify
phylogenetic
contributions
(canonical
correspondence
variation
partitioning)
characterise
co-occurring
syndromes
(
New Phytologist,
Год журнала:
2021,
Номер
232(3), С. 1286 - 1296
Опубликована: Июль 29, 2021
Close
coupling
between
water
loss
and
carbon
dioxide
uptake
requires
coordination
of
plant
hydraulics
photosynthesis.
However,
there
is
still
limited
information
on
the
quantitative
relationships
hydraulic
photosynthetic
traits.
We
propose
a
basis
for
these
based
optimality
theory,
test
its
predictions
by
analysis
measurements
107
species
from
11
sites,
distributed
along
nearly
3000-m
elevation
gradient.
Hydraulic
leaf
economic
traits
were
less
plastic,
more
closely
associated
with
phylogeny,
than
The
two
sets
linked
sapwood
to
area
ratio
(Huber
value,
v
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.
Functional Ecology,
Год журнала:
2024,
Номер
38(7), С. 1649 - 1660
Опубликована: Апрель 15, 2024
Abstract
The
increasing
frequency
and
intensity
of
heat
waves
caused
significant
damages
to
urban
woody
species,
the
different
leaf
structures
between
evergreen
deciduous
species
may
be
closely
related
tolerance.
However,
whether
structural
traits
plants
contribute
their
responses
under
is
still
unclear.
During
record‐breaking
long‐lasting
2022
summer
in
China,
we
investigated
relationships
thermal
indices
36
four
cities
along
Yangtze
River.
We
found
that
all
were
significantly
but
weakly
with
damage
status.
critical
temperature
causes
initial
15%
photosystem
II
(Tcrit)
serve
as
a
sensitive
measure
Evergreen
suffered
less
during
exhibited
higher
tolerance,
thicker
leaves
than
species.
Tcrit
was
correlated
mass
per
area,
thickness
spongy
tissue.
Synthesis
.
Urban
Tcrit,
area
tend
more
tolerant
stress.
This
study
provides
insights
for
predicting
tolerance
subtropical
China
physiological
ecological
severe
waves.
Read
free
Plain
Language
Summary
this
article
on
Journal
blog.
Global Ecology and Biogeography,
Год журнала:
2023,
Номер
32(7), С. 1152 - 1162
Опубликована: Апрель 14, 2023
Abstract
Aim
Leaf
traits
are
central
to
plant
function,
and
key
variables
in
ecosystem
models.
However
recently
published
global
trait
maps,
made
by
applying
statistical
or
machine‐learning
techniques
large
compilations
of
environmental
data,
differ
substantially
from
one
another.
This
paper
aims
demonstrate
the
potential
an
alternative
approach,
based
on
eco‐evolutionary
optimality
theory,
yield
predictions
spatio‐temporal
patterns
leaf
that
can
be
independently
evaluated.
Innovation
Global
community‐mean
specific
area
(SLA)
photosynthetic
capacity
(
V
cmax
)
predicted
climate
via
existing
Then
nitrogen
per
unit
N
mass
inferred
using
their
(previously
derived)
empirical
relationships
SLA
.
Trait
data
thus
reserved
for
testing
model
across
sites.
Temporal
trends
also
predicted,
as
consequences
change,
compared
those
leaf‐level
measurements
and/or
remote‐sensing
methods,
which
increasingly
important
source
information
variation
traits.
Main
conclusions
Model
evaluated
against
site‐mean
>
2,000
sites
Plant
database
yielded
R
2
=
73%
SLA,
38%
28%
Declining
species‐level
,
increasing
community‐level
have
both
been
reported
were
correctly
predicted.
Leaf‐trait
mapping
theory
holds
promise
macroecological
applications,
including
improved
understanding
community
leaf‐trait
responses
change.
New Phytologist,
Год журнала:
2024,
Номер
242(5), С. 1919 - 1931
Опубликована: Март 26, 2024
Summary
Multivariate
leaf
trait
correlations
are
hypothesized
to
originate
from
natural
selection
on
carbon
economics
traits
that
control
lifetime
gain,
and
energy
balance
governing
temperatures,
physiological
rates,
heat
injury.
However,
it
is
unclear
whether
macroevolution
of
primarily
reflects
for
gain
or
balance,
photosynthetic
tolerance
coordinated
along
these
axes.
To
evaluate
hypotheses,
we
measured
economics,
177
species
(157
families)
in
a
common
garden
minimizes
co‐variation
taxa
climate.
We
observed
wide
variation
traits.
Carbon
(but
not
tolerance)
were
phylogenetically
structured,
suggesting
mass
per
area
dry
matter
content
rather
than
balance.
varied
axis
orthogonal
Our
results
highlight
fundamental
mismatch
the
timescales
over
which
morphological
respond
environmental
variation.
Whereas
constrained
by
species'
evolutionary
histories,
can
acclimate
readily
microclimates.
