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.
New Phytologist,
Journal Year:
2014,
Volume and Issue:
205(3), P. 1008 - 1014
Published: July 2, 2014
Summary
Plant
hydraulics
mediate
terrestrial
woody
plant
productivity,
influencing
global
water,
carbon,
and
biogeochemical
cycles,
as
well
ecosystem
vulnerability
to
drought
climate
change.
While
inter‐specific
differences
in
hydraulic
traits
are
widely
documented,
intra‐specific
variability
is
less
known
important
for
predicting
change
impacts.
Here,
I
present
a
conceptual
framework
this
trait
variability,
reviewing
the
mechanisms
that
drive
consequences
vegetation
response
performed
meta‐analysis
on
published
studies
(
n
=
33)
of
variation
prominent
–
water
potential
at
which
50%
stem
conductivity
lost
(P50)
compared
within
genera
functional
types
used
by
dynamic
model.
found
ecologically
relevant
magnitudes,
equivalent
c
.
33%
genus,
larger
angiosperms
than
gymnosperms,
although
limited
number
highlights
more
research
greatly
needed.
Furthermore,
were
poorly
situated
capture
key
across
species,
indicating
need
approach
prediction
impacts
from
trait‐based,
rather
type‐based
perspective.
Journal of Ecology,
Journal Year:
2014,
Volume and Issue:
103(1), P. 202 - 218
Published: Nov. 9, 2014
Summary
Schedules
of
survival,
growth
and
reproduction
are
key
life‐history
traits.
Data
on
how
these
traits
vary
among
species
populations
fundamental
to
our
understanding
the
ecological
conditions
that
have
shaped
plant
evolution.
Because
demographic
schedules
determine
population
or
decline,
such
data
help
us
understand
different
biomes
shape
ecology,
communities
respond
global
change
develop
successful
management
tools
for
endangered
invasive
species.
Matrix
models
summarize
life
cycle
components
reproduction,
while
explicitly
acknowledging
heterogeneity
classes
individuals
in
population.
comparable
structures,
their
emergent
measures
dynamics,
as
rate
mean
expectancy,
direct
biological
interpretations,
facilitating
comparisons
Thousands
matrix
been
parameterized
from
empirical
data,
but
they
largely
dispersed
through
peer‐reviewed
grey
literature,
thus
remain
inaccessible
synthetic
analysis.
Here,
we
introduce
compadre
Plant
M
atrix
D
atabase
version
3.0,
an
open‐source
online
repository
containing
468
studies
598
world‐wide
(672
hits,
when
accounting
studied
more
than
one
source),
with
a
total
5621
matrices.
also
contains
relevant
ancillary
information
(e.g.
ecoregion,
form,
taxonomy,
phylogeny)
facilitates
interpretation
numerous
metrics
can
be
derived
Synthesis
.
Large
collections
allow
broad
questions
addressed
at
scale,
example,
genetics
(
genbank
),
functional
ecology
try,
bien,
d3
)
grassland
community
nutnet
).
present
,
similarly
data‐rich
ecologically
resource
demography.
Open
access
this
information,
its
frequent
updates
integration
other
resources
will
researchers
address
timely
important
evolutionary
questions.
Annals of Botany,
Journal Year:
2021,
Volume and Issue:
127(4), P. 397 - 410
Published: Jan. 27, 2021
Investigating
the
causes
and
consequences
of
intraspecific
trait
variation
(ITV)
in
plants
is
not
novel,
as
it
has
long
been
recognized
that
such
shapes
biotic
abiotic
interactions.
While
evolutionary
population
biology
have
extensively
investigated
ITV,
only
last
10
years
interest
ITV
surged
within
community
comparative
ecology.
Agronomy for Sustainable Development,
Journal Year:
2020,
Volume and Issue:
40(4)
Published: July 8, 2020
Abstract
Sustainable
strategies
for
managing
weeds
are
critical
to
meeting
agriculture’s
potential
feed
the
world’s
population
while
conserving
ecosystems
and
biodiversity
on
which
we
depend.
The
dominant
paradigm
of
weed
management
in
developed
countries
is
currently
founded
two
principal
tools
herbicides
tillage
remove
weeds.
However,
evidence
negative
environmental
impacts
from
both
growing,
herbicide
resistance
increasingly
prevalent.
These
challenges
emerge
a
lack
attention
how
interact
with
regulated
by
agroecosystem
as
whole.
Novel
technological
proposed
control,
such
new
herbicides,
gene
editing,
seed
destructors,
do
not
address
these
systemic
thus
unlikely
provide
truly
sustainable
solutions.
Combining
multiple
techniques
an
Integrated
Weed
Management
strategy
step
forward,
but
many
integrated
still
remain
overly
reliant
too
few
tools.
In
contrast,
advances
ecology
revealing
wealth
options
manage
at
level
that,
rather
than
aiming
eradicate
weeds,
act
regulate
populations
limit
their
diversity.
Here,
review
current
state
knowledge
identify
this
can
be
translated
into
practical
management.
major
points
following:
(1)
diversity
type
crops,
actions
limiting
resources
manipulated
competitiveness
promoting
diversity;
(2)
contrast
tools,
ecological
approaches
tend
synergistic
other
functions;
(3)
there
existing
practices
compatible
approach
that
could
systems,
alongside
explore.
Overall,
demonstrates
integrating
systems-level
thinking
agronomic
decision-making
offers
best
route
achieving
Ecology Letters,
Journal Year:
2018,
Volume and Issue:
21(5), P. 734 - 744
Published: March 23, 2018
The
utility
of
plant
functional
traits
for
predictive
ecology
relies
on
our
ability
to
interpret
trait
variation
across
multiple
taxonomic
and
ecological
scales.
Using
extensive
data
sets
within
species,
species
communities,
we
analysed
whether
at
what
scales
leaf
economics
spectrum
(LES)
show
predicted
trait-trait
covariation.
We
found
that
most
in
LES
is
often,
but
not
universally,
high
levels
(between
families
or
genera
a
family).
However,
covariation
shows
distinct
scale
dependence,
with
some
correlations
showing
opposite
signs
vs.
species.
responded
independently
environmental
gradients
few
shared
responses
conclude
that,
small
scales,
plasticity
may
obscure
reverse
the
broad
evolutionary
linkages
between
traits,
meaning
cannot
always
be
interpreted
as
differences
resource
use
strategy.
New Phytologist,
Journal Year:
2019,
Volume and Issue:
223(2), P. 632 - 646
Published: Jan. 13, 2019
Trait
variability
in
space
and
time
allows
plants
to
adjust
changing
environmental
conditions.
However,
we
know
little
about
how
this
is
distributed
coordinated
at
different
organizational
levels.
For
six
dominant
tree
species
northeastern
Spain
(three
Fagaceae
three
Pinaceae)
quantified
the
inter-
intraspecific
of
a
set
traits
along
water
availability
gradient.
We
measured
leaf
mass
per
area
(LMA),
nitrogen
(N)
concentration,
carbon
isotope
composition
leaves
(δ13
C),
stem
wood
density,
Huber
value
(Hv,
ratio
cross-sectional
sapwood
area),
sapwood-specific
leaf-specific
hydraulic
conductivity,
vulnerability
xylem
embolism
(P50
)
turgor
loss
point
(Ptlp
).
Differences
between
families
explained
largest
amount
for
most
traits,
although
was
also
relevant.
Species
occupying
wetter
sites
showed
higher
N,
P50
Ptlp
,
lower
LMA,
δ13
C
Hv.
when
trait
relationships
with
were
assessed
within
they
held
only
Hv
.
Overall,
our
results
indicate
that
adjustments
gradient
relied
primarily
on
changes
resource
allocation
relations.
Global Ecology and Biogeography,
Journal Year:
2014,
Volume and Issue:
24(1), P. 12 - 24
Published: Oct. 10, 2014
Abstract
Aim
Seed
traits
related
to
recruitment
have
direct
relevance
for
plant
fitness
and
persistence.
Trait
variation
in
time
among
populations
may
increase
species
resilience
ultimately
reduce
the
risk
of
extinction.
However,
patterns
among‐population
critical
remain
poorly
known
are
often
disregarded
when
considering
extinction
under
future
climates.
Location
Global.
Methods
In
this
paper
we
review
synthesize
current
knowledge
about
physiological
morphological
recruitment.
We
outline
consequences
that
persistence
climate
change,
discuss
implications
conservation,
management
restoration.
Results
The
evaluated
studies
provide
compelling
evidence
underpinning
seedling
emergence,
growth
establishment
is
widespread.
Contrary
expectations,
environmental
gradients
do
not
appear
be
reliable
predictors
responses
individualistic.
Likewise,
well‐established
cross‐species
consistently
reflected
within
a
species.
As
pattern
unpredictable,
cannot
make
simple
generalizations
how
allocated
across
geographic
ranges
or
extent
versus
fixed
genetic
differences.
Nor
these
clearly
elucidate
potential
mitigate
negative
effects
change.
Main
conclusions
If
ignore
seed
traits,
assume
it
will
follow
clines,
so
at
our
own
peril.
such
an
approach
likely
include
biased
forecasts
range
dynamics,
hindering
identification
material
most
appropriate
restoration
management.
Further
research
integrates
ecology
emerging
evolutionary
techniques
identify
distribution
foundation
mechanisms
driving
them
urgently
required
guide
maintenance
systems
face
rapidly
changing
Journal of Animal Ecology,
Journal Year:
2016,
Volume and Issue:
85(2), P. 371 - 384
Published: Jan. 27, 2016
Summary
The
open‐data
scientific
philosophy
is
being
widely
adopted
and
proving
to
promote
considerable
progress
in
ecology
evolution.
Open‐data
global
data
bases
now
exist
on
animal
migration,
species
distribution,
conservation
status,
etc.
However,
a
gap
exists
for
population
dynamics
spanning
the
rich
diversity
of
kingdom
world‐wide.
This
information
fundamental
our
understanding
conditions
that
have
shaped
variation
life
histories
their
relationships
with
environment,
as
well
determinants
invasion
extinction.
Matrix
models
(
MPM
s)
are
among
most
used
demographic
tools
by
ecologists.
s
project
based
reproduction,
survival
development
individuals
over
cycle.
outputs
from
direct
biological
interpretations,
facilitating
comparisons
different
Caenorhabditis
elegans
,
Loxodonta
africana
Homo
sapiens
.
Thousands
records
form
s,
but
they
dispersed
throughout
literature,
rendering
comparative
analyses
difficult.
Here,
we
introduce
COMADRE
Animal
Database,
an
online
repository,
which
its
version
1.0.0
contains
345
world‐wide,
402
studies
total
1625
projection
matrices.
also
ancillary
(e.g.
ecoregion,
taxonomy,
biogeography,
etc.)
facilitates
interpretation
numerous
metrics
can
be
derived
s.
We
provide
R
code
some
these
examples.
Synthesis
:
resource
demography.
Its
nature,
together
information,
will
facilitate
analysis,
growing
availability
databases
focusing
other
aspects
diversity,
query
combine
them.
Through
future
frequent
updates
integration
resources,
encourage
ecologists
tackle
ecological
evolutionary
questions
unprecedented
sample
size.