Nature Ecology & Evolution,
Journal Year:
2020,
Volume and Issue:
4(3), P. 294 - 303
Published: Feb. 17, 2020
Synthesizing
trait
observations
and
knowledge
across
the
Tree
of
Life
remains
a
grand
challenge
for
biodiversity
science.
Species
traits
are
widely
used
in
ecological
evolutionary
science,
new
data
methods
have
proliferated
rapidly.
Yet
accessing
integrating
disparate
sources
considerable
challenge,
slowing
progress
toward
global
synthesis
to
integrate
organisms.
Trait
science
needs
vision
achieving
integration
all
Here,
we
outline
how
adoption
key
Open
Science
principles—open
data,
open
source
methods—is
transforming
increasing
transparency,
democratizing
access
accelerating
synthesis.
To
enhance
widespread
these
principles,
introduce
Traits
Network
(OTN),
global,
decentralized
community
welcoming
researchers
institutions
pursuing
collaborative
goal
standardizing
We
demonstrate
adherence
principles
is
OTN
five
activities
that
can
accelerate
Life,
thereby
facilitating
rapid
advances
address
scientific
inquiries
environmental
issues.
Lessons
learned
along
path
will
provide
framework
addressing
similarly
complex
informatics
challenges.
A
introduced
aims
standardize
species
organismal
groups,
based
on
Science.
Journal of Ecology,
Journal Year:
2014,
Volume and Issue:
102(2), P. 275 - 301
Published: Feb. 19, 2014
Summary
The
leaf
economics
spectrum
(LES)
provides
a
useful
framework
for
examining
species
strategies
as
shaped
by
their
evolutionary
history.
However,
that
spectrum,
originally
described,
involved
only
two
key
resources
(carbon
and
nutrients)
one
of
three
economically
important
plant
organs.
Herein,
I
evaluate
whether
the
idea
can
be
broadly
extended
to
water
–
third
resource
–stems,
roots
entire
plants
individual,
community
ecosystem
scales.
My
overarching
hypothesis
is
strong
selection
along
trait
trade‐off
axes,
in
tandem
with
biophysical
constraints,
results
convergence
any
taxon
on
uniformly
fast,
medium
or
slow
strategy
(i.e.
rates
acquisition
processing)
all
organs
resources.
Evidence
economic
spectra
exists
stems
well
leaves,
traits
related
carbon
nutrients.
These
apply
generally
within
across
scales
(within
communities,
climate
zones,
biomes
lineages).
There
are
linkages
coupling
among
resources,
resulting
an
integrated
whole‐plant
spectrum.
Species
capable
moving
rapidly
have
low
tissue
density,
short
life
span
high
flux
at
organ
individual
reverse
true
strategy.
Different
may
different
conditions,
but
being
fast
respect
requires
others,
general
feature
species.
Economic
influence
performance
fitness
consistent
trait‐based
theory
about
underlying
adaptive
mechanisms.
Traits
help
explain
differences
growth
survival
gradients
thus
distribution
assembly
communities
light,
nutrient
gradients.
scale
up
associated
faster
processes
such
decomposition
primary
productivity,
process
rates.
Synthesis
.
matter.
A
single
‘fast–slow’
integrates
universe
helps
ecological
strategies,
functioning
ecosystems.
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.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2015,
Volume and Issue:
46(1), P. 523 - 549
Published: Oct. 30, 2015
Ecologists
and
evolutionary
biologists
are
increasingly
using
big-data
approaches
to
tackle
questions
at
large
spatial,
taxonomic,
temporal
scales.
However,
despite
recent
efforts
gather
two
centuries
of
biodiversity
inventories
into
comprehensive
databases,
many
crucial
research
remain
unanswered.
Here,
we
update
the
concept
knowledge
shortfalls
review
tradeoffs
between
generality
uncertainty.
We
present
seven
key
current
data.
Four
previously
proposed
pinpoint
gaps
for
species
taxonomy
(Linnean),
distribution
(Wallacean),
abundance
(Prestonian),
patterns
(Darwinian).
also
redefine
Hutchinsonian
shortfall
apply
abiotic
tolerances
propose
new
relating
limited
traits
(Raunkiæran)
biotic
interactions
(Eltonian).
conclude
with
a
general
framework
combined
impacts
consequences
large-scale
ecological
consider
ways
overcoming
dealing
uncertainty
they
generate.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2016,
Volume and Issue:
92(2), P. 1156 - 1173
Published: April 22, 2016
ABSTRACT
One
of
ecology's
grand
challenges
is
developing
general
rules
to
explain
and
predict
highly
complex
systems.
Understanding
predicting
ecological
processes
from
species'
traits
has
been
considered
a
‘
H
oly
G
rail’
in
ecology.
Plant
functional
are
increasingly
being
used
develop
mechanistic
models
that
can
how
communities
will
respond
abiotic
biotic
perturbations
species
affect
ecosystem
function
services
rapidly
changing
world;
however,
significant
remain.
In
this
review,
we
highlight
recent
work
outstanding
questions
three
areas:
(
i
)
selecting
relevant
traits;
ii
describing
intraspecific
trait
variation
incorporating
into
models;
iii
scaling
data
community‐
ecosystem‐level
processes.
Over
the
past
decade,
there
have
advances
characterization
plant
strategies
based
on
relationships,
integration
multivariate
indices
community
function.
However,
utility
trait‐based
approaches
ecology
benefit
efforts
demonstrate
these
influence
organismal,
community,
across
vegetation
types,
which
may
be
achieved
through
meta‐analysis
enhancement
databases.
Additionally,
interactions
need
incorporated
predictive
using
tools
such
as
Bayesian
hierarchical
modelling.
Finally,
existing
linking
empirically
tested
for
their
applicability
realized.
Proceedings of the National Academy of Sciences,
Journal Year:
2014,
Volume and Issue:
111(38), P. 13690 - 13696
Published: Sept. 15, 2014
Understanding,
modeling,
and
predicting
the
impact
of
global
change
on
ecosystem
functioning
across
biogeographical
gradients
can
benefit
from
enhanced
capacity
to
represent
biota
as
a
continuous
distribution
traits.
However,
this
is
challenge
for
field
biogeography
historically
grounded
species
concept.
Here
we
focus
newly
emergent
functional
biogeography:
study
geographic
trait
diversity
organizational
levels.
We
show
how
bridges
species-based
earth
science
provide
ideas
tools
help
explain
in
multifaceted
(including
species,
functional,
phylogenetic
diversities),
predict
services
worldwide,
infuse
regional
conservation
programs
with
basis.
Although
much
recent
progress
has
been
made
possible
because
rising
multiple
data
streams,
new
developments
ecoinformatics,
methodological
advances,
future
directions
should
theoretical
comprehensive
framework
scaling
biotic
interactions
trophic
levels
its
ecological
implications.
Proceedings of the National Academy of Sciences,
Journal Year:
2015,
Volume and Issue:
113(1), P. 230 - 235
Published: Dec. 22, 2015
Significance
Schedules
of
survival,
growth,
and
reproduction
define
life-history
strategies
across
species.
Understanding
how
are
structured
is
fundamental
to
our
understanding
the
evolution,
abundance,
distribution
We
found
that
418
plant
species
worldwide
explained
by
an
axis
representing
pace
life
another
wide
range
reproductive
strategies.
This
framework
predicts
responses
perturbations
long-term
population
performance,
showing
great
promise
as
a
predictive
tool
for
environmental
change.