Ecography,
Journal Year:
2012,
Volume and Issue:
36(3), P. 393 - 402
Published: July 18, 2012
Understanding
the
influence
of
environment
on
functional
structure
ecological
communities
is
essential
to
predict
response
biodiversity
global
change
drivers.
Ecological
theory
suggests
that
multiple
environmental
factors
shape
local
species
assemblages
by
progressively
filtering
from
regional
pool
communities.
These
successive
filters
should
various
components
community
in
different
ways.
In
this
paper,
we
tested
relative
metrics
plant
trait
(i.e.
‘community
weighted
mean
trait’
and
diversity,
i.e.
richness,
evenness
divergence)
82
vegetation
plots
Guisane
Valley,
French
Alps.
For
211
sampled
measured
traits
known
capture
key
aspects
strategies
amongst
vascular
species,
leaf
traits,
height
seed
mass
(LHS).
A
comprehensive
information
framework,
together
with
null
model
based
resampling
techniques,
was
used
test
effects.
Particular
responded
differently
gradients,
especially
concerning
spatial
scale
at
which
seem
operate.
Environmental
acting
a
large
(e.g.
temperature)
were
found
predominantly
values,
while
fine‐scale
(topography
soil
characteristics)
mostly
influenced
diversity
distribution
values
among
dominant
species.
Our
results
emphasize
hierarchical
nature
forces
shaping
assemblage:
large‐scale
having
primary
effect,
selecting
adapted
site,
then
finer
scales
determining
abundances
coexistence.
This
will
respond
change,
so
predicting
responses
require
multi‐facet
approach.
Oikos,
Journal Year:
2007,
Volume and Issue:
116(5), P. 882 - 892
Published: May 1, 2007
In
its
simplest
definition,
a
trait
is
surrogate
of
organismal
performance,
and
this
meaning
the
term
has
been
used
by
evolutionists
for
long
time.
Over
last
three
decades,
developments
in
community
ecosystem
ecology
have
forced
concept
beyond
these
original
boundaries,
trait‐based
approaches
are
now
widely
studies
ranging
from
level
organisms
to
that
ecosystems.
Despite
some
attempts
fix
terminology,
especially
plant
ecology,
there
currently
high
degree
confusion
use,
not
only
“trait”
itself,
but
also
underlying
concepts
it
refers
to.
We
therefore
give
an
unambiguous
definition
trait,
with
particular
emphasis
on
functional
trait.
A
hierarchical
perspective
proposed,
extending
“performance
paradigm”
ecology.
“Functional
traits”
defined
as
morpho‐physio‐phenological
traits
which
impact
fitness
indirectly
via
their
effects
growth,
reproduction
survival,
components
individual
performance.
finally
present
integrative
framework
explaining
how
changes
values
due
environmental
variations
translated
into
may
influence
processes
at
higher
organizational
levels.
argue
can
be
achieved
developing
“integration
functions”
grouped
response
(community
level)
effect
(ecosystem
algorithms.
Australian Journal of Botany,
Journal Year:
2013,
Volume and Issue:
61(3), P. 167 - 167
Published: Jan. 1, 2013
Plant
functional
traits
are
the
features
(morphological,
physiological,
phenological)
that
represent
ecological
strategies
and
determine
how
plants
respond
to
environmental
factors,
affect
other
trophic
levels
influence
ecosystem
properties.
Variation
in
plant
traits,
trait
syndromes,
has
proven
useful
for
tackling
many
important
questions
at
a
range
of
scales,
giving
rise
demand
standardised
ways
measure
ecologically
meaningful
traits.
This
line
research
been
among
most
fruitful
avenues
understanding
evolutionary
patterns
processes.
It
also
potential
both
build
predictive
set
local,
regional
global
relationships
between
environment
quantify
wide
natural
human-driven
processes,
including
changes
biodiversity,
impacts
species
invasions,
alterations
biogeochemical
processes
vegetation–atmosphere
interactions.
The
importance
these
topics
dictates
urgent
need
more
better
data,
increases
value
protocols
quantifying
variation
different
species,
particular
with
power
predict
plant-
ecosystem-level
can
be
measured
relatively
easily.
Updated
expanded
from
widely
used
previous
version,
this
handbook
retains
focus
on
clearly
presented,
applicable,
step-by-step
recipes,
minimum
text
theory,
not
only
includes
updated
methods
previously
covered,
but
introduces
new
further
balance
whole-plant
leaf
root
stem
regenerative
puts
emphasis
predicting
species’
effects
key
We
hope
becomes
standard
companion
local
efforts
learn
about
responses
respect
present,
past
future.
Global Change Biology,
Journal Year:
2011,
Volume and Issue:
17(9), P. 2905 - 2935
Published: April 26, 2011
Abstract
Plant
traits
–
the
morphological,
anatomical,
physiological,
biochemical
and
phenological
characteristics
of
plants
their
organs
determine
how
primary
producers
respond
to
environmental
factors,
affect
other
trophic
levels,
influence
ecosystem
processes
services
provide
a
link
from
species
richness
functional
diversity.
Trait
data
thus
represent
raw
material
for
wide
range
research
evolutionary
biology,
community
ecology
biogeography.
Here
we
present
global
database
initiative
named
TRY,
which
has
united
plant
trait
worldwide
gained
an
unprecedented
buy‐in
data:
so
far
93
databases
have
been
contributed.
The
repository
currently
contains
almost
three
million
entries
69
000
out
world's
300
species,
with
focus
on
52
groups
characterizing
vegetative
regeneration
stages
life
cycle,
including
growth,
dispersal,
establishment
persistence.
A
first
analysis
shows
that
most
are
approximately
log‐normally
distributed,
widely
differing
ranges
variation
across
traits.
Most
is
between
(interspecific),
but
significant
intraspecific
also
documented,
up
40%
overall
variation.
types
(PFTs),
as
commonly
used
in
vegetation
models,
capture
substantial
fraction
observed
several
occurs
within
PFTs,
75%
In
context
models
these
would
better
be
represented
by
state
variables
rather
than
fixed
parameter
values.
improved
availability
unified
expected
support
paradigm
shift
trait‐based
ecology,
offer
new
opportunities
synthetic
enable
more
realistic
empirically
grounded
representation
terrestrial
Earth
system
models.
Global Change Biology,
Journal Year:
2019,
Volume and Issue:
26(1), P. 119 - 188
Published: Dec. 31, 2019
Abstract
Plant
traits—the
morphological,
anatomical,
physiological,
biochemical
and
phenological
characteristics
of
plants—determine
how
plants
respond
to
environmental
factors,
affect
other
trophic
levels,
influence
ecosystem
properties
their
benefits
detriments
people.
trait
data
thus
represent
the
basis
for
a
vast
area
research
spanning
from
evolutionary
biology,
community
functional
ecology,
biodiversity
conservation,
landscape
management,
restoration,
biogeography
earth
system
modelling.
Since
its
foundation
in
2007,
TRY
database
plant
traits
has
grown
continuously.
It
now
provides
unprecedented
coverage
under
an
open
access
policy
is
main
used
by
worldwide.
Increasingly,
also
supports
new
frontiers
trait‐based
research,
including
identification
gaps
subsequent
mobilization
or
measurement
data.
To
support
this
development,
article
we
evaluate
extent
compiled
analyse
emerging
patterns
representativeness.
Best
species
achieved
categorical
traits—almost
complete
‘plant
growth
form’.
However,
most
relevant
ecology
vegetation
modelling
are
characterized
continuous
intraspecific
variation
trait–environmental
relationships.
These
have
be
measured
on
individual
respective
environment.
Despite
coverage,
observe
humbling
lack
completeness
representativeness
these
many
aspects.
We,
therefore,
conclude
that
reducing
biases
remains
key
challenge
requires
coordinated
approach
measurements.
This
can
only
collaboration
with
initiatives.
Journal of Ecology,
Journal Year:
2008,
Volume and Issue:
96(6), P. 1266 - 1274
Published: Aug. 27, 2008
1
An
international
group
of
scientists
has
built
an
open
internet
data
base
life-history
traits
the
Northwest
European
flora
(the
LEDA-Traitbase)
that
can
be
used
as
a
source
for
fundamental
research
on
plant
biodiversity
and
coexistence,
macro-ecological
patterns
functional
responses.
2
The
species-trait
matrix
comprises
referenced
information
under
control
editorial
board,
ca.
3000
species
flora,
combining
existing
additional
measurements.
currently
contains
26
describe
three
key
features
dynamics:
persistence,
regeneration
dispersal.
LEDA-Traitbase
is
freely
available
at
http://www.leda-traitbase.org.
3
We
present
structure
overview
trait
available.
4
Synthesis.
LEDA
Traitbase
useful
large-scale
analyses
responses
communities
to
environmental
change,
effects
community
composition
ecosystem
properties
rarity
invasiveness,
well
linkages
between
expressions
trade-offs
in
plants.
Proceedings of the National Academy of Sciences,
Journal Year:
2007,
Volume and Issue:
104(52), P. 20684 - 20689
Published: Dec. 20, 2007
Global
environmental
change
affects
the
sustained
provision
of
a
wide
set
ecosystem
services.
Although
delivery
services
is
strongly
affected
by
abiotic
drivers
and
direct
land
use
effects,
it
also
modulated
functional
diversity
biological
communities
(the
value,
range,
relative
abundance
traits
in
given
ecosystem).
The
focus
this
article
on
integrating
different
possible
mechanisms
which
properties
that
are
directly
relevant
to
We
propose
systematic
way
for
progressing
understanding
how
cover
these
through
modifications.
Models
links
between
local
mean,
distribution
plant
trait
values
numerous,
but
they
have
been
scattered
literature,
with
varying
degrees
empirical
support
components
analyzed.
Here
we
articulate
single
conceptual
methodological
framework
allows
testing
them
combination.
illustrate
our
approach
examples
from
literature
apply
proposed
grassland
system
central
French
Alps
diversity,
responding
change,
alters
important
stakeholders.
claim
contributes
opening
new
area
research
at
interface
science
fundamental
ecology.
Functional Ecology,
Journal Year:
2007,
Volume and Issue:
22(1), P. 134 - 147
Published: Nov. 22, 2007
1
Interpreting
the
functional
diversity
of
vegetation
is
important
in
unravelling
relationship
between
environmental
change,
community
composition
and
ecosystem
processes.
Functional
range
distribution
trait
values
a
community.
It
can
be
described,
among
other
indicators,
by
community-level
weighted
means
(CWM)
divergence.
Standard
methods
exist
for
measurements
but
not
assessments
CWM
divergence
field.
No
research
has
addressed
effects
different
estimating
relative
abundances,
nor
need
to
estimate
traits
at
individual,
population
or
species
level,
whether
could
used
that
bypass
taxonomy
all
together.
2
This
study
reviews
evaluates
plot-level
assessment
herbaceous
vegetation.
We
asked:
(i)
Should
objective
influence
method
abundance?
(ii)
What
are
strengths
limitations
intensive
vs.
'rapid'
approaches,
when
should
either
applied?
(iii)
Are
taxon-free
robust
comparison
taxon-explicit
measurement?
Under
what
circumstances
might
they
3
Our
review
published
studies
have
measured
field
showed
choice
metric
generally
taken
into
account
link
functions
interest,
cover
been
most
widely
used,
regardless
purpose.
4
compared
quantitatively
subalpine
grasslands
three
quantification
abundances
plus
one
method.
found
that:
data
base
were
across
years
diverse
set
dominant
species;
little
sensitivity
abundances;
this
also
depends
on
traits,
example,
seed
mass
results
less
stable
than
leaf
heights;
estimates
obtained
from
visual
ranks
biomass
using
dry-weight
ranking
(BOTANAL),
whereas
was
more
sensitive
method;
(iv)
treated
with
caution
performed
particularly
poorly
5
conclude
methodology
affect
diversity.
Although
care
interpretation
results,
rapid
often
offer
promising
avenues
sampling
larger
areas
and/or
repeated
measures.