Methods in Ecology and Evolution,
Journal Year:
2010,
Volume and Issue:
2(3), P. 233 - 237
Published: Dec. 14, 2010
Summary
1.
The
growing
interest
in
functional
diversity
has
been
accompanied
by
a
proliferation
of
indices
proposed
to
calculate
its
different
components;
however,
empirical
studies
have
hampered
lack
integrated
tools
for
their
easy
calculation
based
on
field
data
sets.
2.
We
present
FDiversity,
free,
user‐friendly,
open
source‐based
software
package
the
and
statistical
analysis
most
metrics
published
date.
3.
This
tool
greatly
facilitates
patterns
also
links
dimensions
with
environmental
factors
ecosystem
properties
services.
Ecology,
Journal Year:
2010,
Volume and Issue:
91(1), P. 299 - 305
Published: Jan. 1, 2010
A
new
framework
for
measuring
functional
diversity
(FD)
from
multiple
traits
has
recently
been
proposed.
This
was
mostly
limited
to
quantitative
without
missing
values
and
situations
in
which
there
are
more
species
than
traits,
although
the
authors
had
suggested
a
way
extend
their
other
trait
types.
The
main
purpose
of
this
note
is
further
develop
suggestion.
We
describe
highly
flexible
distance‐based
measure
different
facets
FD
multidimensional
space
any
distance
or
dissimilarity
measure,
number
types
(i.e.,
quantitative,
semi‐quantitative,
qualitative).
approach
allows
weighting
individual
traits.
also
present
index,
called
dispersion
(FDis),
closely
related
Rao's
quadratic
entropy.
FDis
multivariate
analogue
weighted
mean
absolute
deviation
(MAD),
weights
relative
abundances.
For
unweighted
presence–absence
data,
can
be
used
formal
statistical
test
differences
FD.
provide
“FD”
R
language
package
easily
implement
our
framework.
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.
PLoS Computational Biology,
Journal Year:
2012,
Volume and Issue:
8(6), P. e1002358 - e1002358
Published: June 13, 2012
Microbial
communities
carry
out
the
majority
of
biochemical
activity
on
planet,
and
they
play
integral
roles
in
processes
including
metabolism
immune
homeostasis
human
microbiome.
Shotgun
sequencing
such
communities'
metagenomes
provides
information
complementary
to
organismal
abundances
from
taxonomic
markers,
but
resulting
data
typically
comprise
short
reads
hundreds
different
organisms
are
at
best
challenging
assemble
comparably
single-organism
genomes.
Here,
we
describe
an
alternative
approach
infer
functional
metabolic
potential
a
microbial
community
metagenome.
We
determined
gene
families
pathways
present
or
absent
within
community,
as
well
their
relative
abundances,
directly
sequence
reads.
validated
this
methodology
using
collection
synthetic
metagenomes,
recovering
presence
abundance
both
large
small
modules
with
high
accuracy.
subsequently
applied
method,
HUMAnN,
649
drawn
seven
primary
body
sites
102
individuals
part
Human
Microbiome
Project
(HMP).
This
provided
means
compare
diversity
ecology
microbiome,
core
24
ubiquitously
modules.
Core
were
often
implemented
by
enzyme
sites,
168
196
varied
metagenomic
specifically
one
more
niches
These
included
glycosaminoglycan
degradation
gut,
phosphate
amino
acid
transport
linked
host
phenotype
(vaginal
pH)
posterior
fornix.
An
implementation
our
is
available
http://huttenhower.sph.harvard.edu/humann.
accurately
efficiently
characterize
high-throughput
reads,
enabling
determination
HMP
cohort
future
studies.
Journal of Ecology,
Journal Year:
2010,
Volume and Issue:
99(1), P. 135 - 147
Published: Nov. 22, 2010
Summary
1.
Spatially
explicit
understanding
of
the
delivery
multiple
ecosystem
services
(ES)
from
global
to
local
scales
is
currently
limited.
New
studies
analysing
simultaneous
provision
at
landscape
scale
should
aid
ES
and
trade‐offs
support
policy,
management
land
planning.
2.
Here,
we
propose
a
new
approach
for
analysis,
mapping
in
landscapes.
single
models
based
on
plant
traits
abiotic
characteristics
are
combined
identify
‘hot’
‘cold’
spots
delivery,
use
biotic
determinants
such
distributions.
We
demonstrate
value
this
trait‐based
as
compared
pure
land‐use
pastoral
central
French
Alps,
highlight
how
it
improves
ecological
constraints
to,
opportunities
for,
services.
3.
Vegetative
height
leaf
dry
matter
content
were
response
strongly
influenced
by
environment,
with
follow‐on
effects
several
properties,
could
therefore
be
used
functional
markers
ES.
4.
Patterns
association
among
related
dominant
underlying
different
properties.
The
decoupling
between
provided
alternative
pathways
high
agronomic
value,
well
determining
hot
cold
Traditional
uses
organic
fertilization
mowing
or
altitude
summer
grazing
also
linked
spots,
because
supporting
fodder
production
quality
compatible
species
diversity.
5.
Synthesis
.
Analyses
using
variation
across
landscapes
powerful
fundamental
mechanisms
provision,
synergies
Sustainable
functionally
diverse
grassland
simultaneously
aim
conserving
biodiversity
locally
important
taking
advantage
correlations
traits.
Proceedings of the Royal Society B Biological Sciences,
Journal Year:
2015,
Volume and Issue:
282(1801), P. 20142620 - 20142620
Published: Jan. 7, 2015
Drastic
biodiversity
declines
have
raised
concerns
about
the
deterioration
of
ecosystem
functions
and
motivated
much
recent
research
on
relationship
between
species
diversity
functioning.
A
functional
trait
framework
has
been
proposed
to
improve
mechanistic
understanding
this
relationship,
but
rarely
tested
for
organisms
other
than
plants.
We
analysed
eight
datasets,
including
five
animal
groups,
examine
how
well
a
trait-based
approach,
compared
with
more
traditional
taxonomic
predicts
seven
below-
above-ground.
Trait-based
indices
consistently
provided
greater
explanatory
power
richness
or
abundance.
The
frequency
distributions
single
multiple
traits
in
community
were
best
predictors
This
implies
that
we
investigated
underpinned
by
combination
identities
(i.e.
single-trait
indices)
complementarity
multi-trait
communities.
Our
study
provides
new
insights
into
general
mechanisms
link
functioning
natural
communities
suggests
observed
responses
due
identity
dominance
patterns
composition
rather
number
abundance
per
se
.
Oxford University Press eBooks,
Journal Year:
2009,
Volume and Issue:
unknown
Published: July 30, 2009
Abstract
How
will
biodiversity
loss
affect
ecosystem
functioning,
services,
and
human
wellbeing?
In
an
age
of
accelerating
loss,
this
volume
summarizes
recent
advances
in
biodiversity‐ecosystem
functioning
research
explores
the
economics
services.
The
first
section
development
basic
science
provides
a
meta-analysis
that
quantitatively
tests
several
hypotheses.
second
describes
natural
foundations
research,
including:
quantifying
functional
diversity,
field
into
predictive
science,
effects
stability
complexity,
methods
to
quantify
mechanisms
by
which
diversity
affects
importance
trophic
structure,
microbial
ecology,
spatial
dynamics.
third
takes
on
further
than
it
has
ever
gone
dimension.
six
chapters
cover
most
pressing
environmental
challenges
humanity
faces,
including
on:
climate
change
mitigation,
restoration
degraded
habitats,
managed
ecosystems,
pollination,
disease,
biological
invasions.
remaining
three
consider
economic
perspective,
synthesis
services
biodiversity,
options
open
policy-makers
address
failure
markets
account
for
services;
examination
valuing
and,
hence,
understanding
consequences
decisions
neglect
these
ways
economists
are
currently
incorporating
decision
models
conservation
management
biodiversity.
final
new
ecoinformatics
help
transform
globally
finally,
advancements
future
directions
field.
book's
ultimate
conclusion
is
essential
element
any
strategy
sustainable
development.
Australian Journal of Botany,
Journal Year:
2016,
Volume and Issue:
64(8), P. 715 - 715
Published: Jan. 1, 2016
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.
Functional Ecology,
Journal Year:
2010,
Volume and Issue:
24(6), P. 1192 - 1201
Published: May 18, 2010
Summary
1.
Functional
traits
have
been
extensively
used
to
describe,
group
and
rank
species
according
their
functions.
There
is
now
growing
evidence
that
intraspecific
functional
variability,
as
well
interspecific
can
significant
effects
on
community
dynamics
ecosystem
functioning.
A
core
hypothesis
for
the
use
of
expressed
means,
variability
negligible
compared
with
has
however
too
rarely
tested
empirically.
We
then
addressed
four
questions:
Is
across
ranges
variability?
Are
major
resource
economics
trade‐off
strategies
robust
individual
trait
rankings
or
ordination
once
considering
Can
be
discriminated
by
leaf
traits?
2.
Using
an
environmentally
stratified
sampling
design
within
alpine
catchment,
we
collected
five
13
common
plant
contrasting
life
histories
traits.
Several
populations
from
a
range
environmental
conditions
were
sampled
each
ranges.
3.
With
original
combination
single‐trait
multi‐trait
analyses,
highlighted
non‐negligible
contribution
overall
(∼30%).
Although
not
affecting
general
well‐known
trade‐offs
strategies,
had
potential
alter
produced
continuum
rather
than
clear‐cut
classification.
4.
Deciding
whether
considered
–
being
represented
mean
values
–,
multivariate
distributions
essential
question
multiple
ecological
issues.
However,
this
decision
cannot
generic,
but
will
depend
studied
system
selected
species,
study
objectives.