Summary
Observational
evidence
indicates
that
tree
leaf
area
may
acclimate
in
response
to
changes
water
availability
alleviate
hydraulic
stress.
However,
the
underlying
mechanisms
driving
and
consequences
of
different
allocation
strategies
remain
unknown.
Here,
we
use
a
trait‐based
hydraulically
enabled
model
with
two
endmember
strategies,
aimed
at
either
maximizing
carbon
gain
or
moderating
We
examined
impacts
these
on
future
plant
stress
productivity.
Allocating
maximize
increased
productivity
high
CO
2
,
but
systematically
Following
an
strategy
avoid
missed
out
26%
potential
net
primary
some
geographies.
Both
resulted
decreases
under
climate
scenarios,
contrary
Earth
system
(ESM)
predictions.
Leaf
acclimation
(and
potentially
risk
accelerated
mortality)
was
possible,
led
reduced
gain.
Accounting
for
effects
canopy
ESMs
could
limit
reverse
current
projections
increases
area,
cycles,
surface
energy
budgets.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Ноя. 6, 2024
Abstract
Tropical
forests
dominate
terrestrial
photosynthesis,
yet
there
are
major
contradictions
in
our
understanding
due
to
a
lack
of
field
studies,
especially
outside
the
tropical
Americas.
A
recent
study
indicated
that
West
African
have
among
highest
gross
primary
productivity
(GPP)
observed,
contradicting
models
rank
them
lower
than
Amazonian
forests.
Here,
we
show
possible
reasons
for
this
data-model
mismatch.
We
found
biometric
GPP
measurements
on
average
56.3%
higher
multiple
global
products
at
sites.
The
underestimation
largely
disappears
when
standard
photosynthesis
model
is
informed
by
local
field-measured
values
(a)
fractional
absorbed
photosynthetic
radiation
(fAPAR),
and
(b)
traits.
Remote
sensing
systematically
underestimate
fAPAR
(33.9%
sites)
cloud
contamination
issues.
highlights
potential
widespread
carbon
cycling
hints
ways
forward
input
data
improvement.
Global Change Biology,
Год журнала:
2022,
Номер
29(3), С. 856 - 873
Опубликована: Окт. 24, 2022
"Least-cost
theory"
posits
that
C3
plants
should
balance
rates
of
photosynthetic
water
loss
and
carboxylation
in
relation
to
the
relative
acquisition
maintenance
costs
resources
required
for
these
activities.
Here
we
investigated
dependency
traits
on
climate
soil
properties
using
a
new
Australia-wide
trait
dataset
spanning
528
species
from
67
sites.
We
tested
hypotheses
relatively
cold
or
dry
sites,
more
fertile
would
typically
operate
at
greater
CO2
drawdown
(lower
ratio
leaf
internal
ambient
,
Ci
:Ca
)
during
light-saturated
photosynthesis,
higher
N
per
area
(Narea
capacity
(Vcmax
25
given
rate
stomatal
conductance
vapour,
gsw
.
These
results
be
indicative
having
than
nutrient
costs.
In
general,
our
were
supported.
Soil
total
phosphorus
(P)
concentration
(more
weakly)
pH
exerted
positive
effects
Narea
-gsw
Vcmax
slopes,
negative
The
P
effect
strengthened
when
was
removed
via
partial
regression.
observed
similar
trends
with
increasing
cation
exchange
clay
content,
which
affect
availability,
found
explained
amounts
variation
focal
as
did.
Although
did,
together
they
up
52%
slope
relationships
30%
individual
traits.
Soils
influenced
well
their
coordination.
particular,
influence
likely
reflects
Australia's
geologically
ancient
low-relief
landscapes
highly
leached
soils.
Least-cost
theory
provides
valuable
framework
understanding
trade-offs
between
resource
use
plants,
including
limiting
nutrients.
Journal of Advances in Modeling Earth Systems,
Год журнала:
2025,
Номер
17(3)
Опубликована: Март 1, 2025
Abstract
Realistic
simulation
of
leaf
photosynthetic
and
respiratory
processes
is
needed
for
accurate
prediction
the
global
carbon
cycle.
These
two
systematically
acclimate
to
long‐term
environmental
changes
by
adjusting
traits
(e.g.,
maximum
capacity
at
25°C
(
V
cmax,25
)
respiration
rate
R
25
))
following
increasingly
well‐understood
principles.
While
some
land
surface
models
(LSMs)
now
account
thermal
acclimation,
they
do
so
assigning
empirical
parameterizations
individual
plant
functional
types
(PFTs).
Here,
we
have
implemented
an
Eco‐Evolutionary
Optimality
(EEO)‐based
scheme
represent
universal
acclimation
photosynthesis
multiple
effects,
that
therefore
requires
no
PFT‐specific
parameterizations,
in
a
standard
version
widely
used
LSM,
Noah
MP.
We
evaluated
model
performance
with
trait
data
from
5‐year
experiment
extensive
field
measurements,
flux
measurements
FLUXNET2015.
show
observed
vary
substantially
both
temporally
spatially
within
same
PFT
C.V.
>20%).
Our
EEO‐based
captures
62%
temporal
70%
spatial
variations
(73%
54%
).
The
underestimates
gross
primary
production
10%
versus
2%
generates
larger
spread
r
(correlation
coefficient)
across
sites
(0.79
±
0.16
vs.
0.84
0.1,
mean
S.D.).
greatly
overestimates
canopy
(bias:
∼200%
8%
EEO
scheme),
resulting
less
CO
2
uptake
terrestrial
ecosystems.
approach
thus
simulates
climate‐carbon
coupling
more
realistically,
fewer
parameters.
Remote Sensing,
Год журнала:
2023,
Номер
15(5), С. 1172 - 1172
Опубликована: Фев. 21, 2023
The
value
of
leaf
photosynthetic
capacity
(Vcmax)
varies
with
time
and
space,
but
state-of-the-art
terrestrial
biosphere
models
rarely
include
such
Vcmax
variability,
hindering
the
accuracy
carbon
cycle
estimations
on
a
large
scale.
In
particular,
while
European
ecosystem
is
particularly
sensitive
to
climate
change,
current
estimates
gross
primary
production
(GPP)
in
Europe
are
subject
significant
uncertainties
(2.5
8.7
Pg
C
yr−1).
This
study
applied
process-based
Farquhar
GPP
model
(FGM)
improve
estimation
by
introducing
spatially
temporally
explicit
derived
from
satellite-based
chlorophyll
content
(LCC)
two
scales:
across
multiple
eddy
covariance
tower
sites
regional
Across
19
EuroFLUX
selected
for
independent
validation
based
9
plant
functional
types
(PFTs),
relative
biome-specific
Vcmax,
inclusion
LCC-derived
improved
GPP,
coefficient
determination
(R2)
increased
23%
root
mean
square
error
(RMSE)
decreased
25%.
values
typically
parameterized
PFT-specific
calibrated
flux
observations
or
empirical
TRY
database
(which
includes
723
data
points
field
measurements).
On
scale,
compared
using
conventional
method
fixing
TRY-based
overestimated
annual
0.5
2.9
yr−1
5
31%
interannually
increasing
trend
0.007
0.01
yr−2
14
20%,
respectively.
spatial
pattern
interannual
change
estimated
FGM
showed
general
consistency
existing
studies,
our
indicated
that
(including
part
Russia)
had
higher
assimilation
potential
(9.4
Our
highlighted
urgent
need
develop
consistent
products
high
so
as
reduce
global
modeling
understanding
how
ecosystems
respond
change.
Remote Sensing,
Год журнала:
2023,
Номер
15(5), С. 1372 - 1372
Опубликована: Фев. 28, 2023
Satellite
observations
have
revealed
strong
land
surface
“greening”
(i.e.,
increases
in
vegetation
greenness
or
leaf
area
index
(LAI))
the
Northern
Hemisphere
over
past
few
decades.
European
terrestrial
ecosystems
are
a
greening
hotspot,
but
how
they
respond
to
greening,
climate
change,
CO2
fertilization,
use
and
cover
change
(LULCC)
other
factors
is
unclear.
Here,
we
assessed
these
interacting
might
be
combined
alter
gross
primary
production
(GPP)
throughout
Europe
during
period
of
2001
2016
using
process-based
Farquhar
GPP
model
FGM).
We
found
more
productive
ecosystem
most
enhancement
was
explained
by
LAI
(62%)
atmospheric
concentration
(29%).
Spatially,
spatial
signature
trends
both
suggested
widespread
(72–73%
vegetated
area)
phenomena
across
Europe,
among
which
23.7%
13.3%
were
statistically
significant
(p
<
0.05).
The
interannual
trend
estimated
FGM
(0.55%
yr−1)
reasonable
compared
with
products
(0.47%
yr−1
0.92%
observed
increasing
rate
(0.62%
yr−1).
factorial
simulations
that
(+35.5
Pg
C
yr−2,
p
0.01),
fertilization
(+16.9
temperature
warming
(+3.7
0.05),
enhanced
downwards
solar
radiation
(+1.2
>
0.05)
contributed
enhancement,
while
vapour
pressure
deficit
(−5.6
Tg
0.01)
had
negative
impacts
on
GPP,
especially
2006
2012,
when
extreme
droughts
struck
south-eastern
Europe.
Meanwhile,
approximately
1.8%
total
experienced
LULCC
from
exerted
small
(−1.3
impact
due
decreases
number
pixels
(−159
Although
effect
negative,
largest
increase
occurred
forested
(+0.9%
area).
In
addition,
for
annual
mean
(0.01
m2
m−2
yr−1,
0.001)
(22.2
forests
higher
than
those
types,
suggesting
may
continue
play
important
roles
combating
future
long-lasting
carbon
storage
potential.
These
results
provide
first
systematic
quantitative
analysis
driving
force
assimilation
considering
variations
physiological
traits
environmental
adaptations.
Paleoceanography and Paleoclimatology,
Год журнала:
2023,
Номер
38(8)
Опубликована: Авг. 1, 2023
Abstract
The
Arctic
forests
of
the
Eocene,
which
thrived
under
elevated
CO
2
,
a
temperate
climate,
high
precipitation
and
annually
extremely
different
daylengths,
represent
quite
spectacular
no‐analogue
habitat
Earth's
greenhouse
past.
aim
this
study
was
to
improve
our
understanding
ecophysiology
broad‐leaved
deciduous
by
analyzing
leaf
photosynthesis
tree
productivity
based
on
gas
exchange
modeling
for
two
fossil
Eocene
sites,
Svalbard
Ellesmere
Island.
For
this,
single‐leaf
model
that
includes
heat
transfer
senescence
derived.
Environmental
conditions
were
available
palaeoclimate
data
level
800
μmol/mol.
Additionally,
light
regimes
(diffusivity
transmissivity)
considered.
With
model,
annual
calculated
basis
temperature
day
lengths
(derived
celestial
mechanics).
To
obtain
whole
tree,
single
then
upscaled
canopy
model.
results
indicate
enhanced
at
both
latitude
sites
growing
season
maximum
daylength
(24
hr)
during
late
spring
early
summer.
values
about
30%–60%
higher
as
mid‐latitude
continental
European
forest,
potential
polar
is
in
range
extant
tropical
forests.
In
contrast
speculations,
no
evidence
selective
advantage
large
size—as
shown
various
leaves
from
sites—could
be
found.
New Phytologist,
Год журнала:
2023,
Номер
241(6), С. 2423 - 2434
Опубликована: Ноя. 30, 2023
Summary
Predictive
relationships
between
plant
traits
and
environmental
factors
can
be
derived
at
global
regional
scales,
informing
efforts
to
reorient
ecological
models
around
functional
traits.
However,
in
a
changing
climate,
the
variables
used
as
predictors
such
are
far
from
stationary.
This
could
yield
errors
trait–environment
model
predictions
if
timescale
is
not
accounted
for.
Here,
dependence
of
investigated
by
regressing
situ
trait
measurements
specific
leaf
area,
nitrogen
content,
wood
density
on
local
climate
characteristics
summarized
across
several
increasingly
long
timescales.
We
identify
contrasting
responses
timescale.
Leaf
best
predicted
recent
timescales,
while
longer
term
memory
trait.
The
use
sub‐optimal
timescales
reduces
accuracy
resulting
relationships.
study
concludes
that
respond
conditions
tissue
lifespans
rather
than
long‐term
normals,
even
large
spatial
scales
where
multiple
physiological
mechanisms
drive
change.
Thus,
determining
with
temporally
relevant
may
critical
for
predicting
change
nonstationary
system.