Ecology Letters,
Journal Year:
2007,
Volume and Issue:
10(10), P. 937 - 944
Published: July 31, 2007
Abstract
Much
research
has
focused
on
identifying
species
that
are
susceptible
to
extinction
following
ecosystem
fragmentation,
yet
even
those
persist
in
fragmented
habitats
may
have
fundamentally
different
ecological
roles
than
conspecifics
unimpacted
areas.
Shifts
trophic
role
induced
by
especially
of
abundant
top
predators,
could
transcendent
impacts
food
web
architecture
and
stability,
as
well
function.
Here
we
use
a
novel
measure
niche
width,
based
stable
isotope
ratios,
assess
effects
aquatic
fragmentation
ecology
resilient,
dominant,
predator.
We
demonstrate
collapse
width
the
predator
systems,
phenomenon
related
significant
reductions
diversity
potential
prey
taxa.
Collapsed
reflects
homogenization
energy
flow
pathways
likely
serving
destabilize
remnant
webs
render
apparently
resilient
predators
more
through
time.
Ecological Monographs,
Journal Year:
2009,
Volume and Issue:
79(1), P. 109 - 126
Published: Feb. 1, 2009
Community
assembly
processes
are
thought
to
shape
the
mean,
spread,
and
spacing
of
functional
trait
values
within
communities.
Two
broad
categories
have
been
proposed:
first,
a
habitat
filter
that
restricts
range
viable
strategies
second,
partitioning
microsites
and/or
resources
leads
limit
similarity
coexisting
species.
The
strength
both
may
be
dependent
on
conditions
at
particular
site
change
along
an
abiotic
gradient.
We
sampled
environmental
variables
plant
communities
in
44
plots
across
varied
topography
coastal
California
landscape.
characterized
14
leaf,
stem,
root
traits
for
54
woody
species,
including
detailed
intraspecific
data
two
with
goal
understanding
connection
between
variety
conditions.
examined
within‐community
range,
variance,
kurtosis,
other
measures
values.
In
this
landscape,
there
was
topographically
mediated
gradient
water
availability.
Across
we
observed
strong
shifts
plot‐level
mean
variation
Trends
means
environment
were
due
largely
species
turnover,
playing
smaller
role.
Traits
associated
vertical
light
showed
greater
variance
wet
soils,
while
nitrogen
per
area,
which
is
use
efficiency,
spread
dry
soils.
found
nonrandom
patterns
distributions
consistent
expectations
based
trait‐mediated
community
assembly.
There
significant
reduction
six
out
11
leaf
stem
relative
null
model.
For
specific
area
(SLA)
even
seed
size
more
platykurtic
distribution
than
expected.
These
results
suggest
can
simultaneously
local
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2011,
Volume and Issue:
87(1), P. 111 - 127
Published: June 21, 2011
Understanding
how
communities
of
living
organisms
assemble
has
been
a
central
question
in
ecology
since
the
early
days
discipline.
Disentangling
different
processes
involved
community
assembly
is
not
only
interesting
itself
but
also
crucial
for
an
understanding
will
behave
under
future
environmental
scenarios.
The
traditional
concept
rules
reflects
notion
that
species
do
co‐occur
randomly
are
restricted
their
co‐occurrence
by
interspecific
competition.
This
can
be
redefined
more
general
framework
where
product
chance,
historical
patterns
speciation
and
migration,
dispersal,
abiotic
factors,
biotic
interactions,
with
none
these
being
mutually
exclusive.
Here
we
present
survey
meta‐analyses
59
papers
compare
observed
plant
null
models
simulating
random
assembly.
According
to
type
data
study
methods
applied
detect
assembly,
distinguish
four
main
types
approach
published
literature:
co‐occurrence,
niche
limitation,
guild
proportionality
limiting
similarity.
Results
from
our
suggest
non‐random
widespread
phenomenon.
However,
whether
this
finding
individualistic
nature
or
caused
methodological
shortcomings
associated
studies
considered
cannot
discerned
available
metadata.
We
advocate
thorough
surveys
conducted
using
set
standardized
test
existence
sets
spanning
larger
biological
geographical
scales
than
have
until
now.
underpin
advice
guidelines
should
research.
enable
us
draw
accurate
conclusions
about
aspect
communities.
Ecology Letters,
Journal Year:
2007,
Volume and Issue:
10(2), P. 135 - 145
Published: Jan. 15, 2007
Plant
functional
traits
vary
both
along
environmental
gradients
and
among
species
occupying
similar
conditions,
creating
a
challenge
for
the
synthesis
of
community
ecology.
We
present
trait-based
approach
that
provides
an
additive
decomposition
species'
trait
values
into
alpha
beta
components:
refer
to
position
gradient
defined
by
community-level
mean
values;
are
difference
between
co-occurring
taxa.
In
woody
plant
communities
coastal
California,
specific
leaf
area,
size,
wood
density
maximum
height
all
covary
strongly,
reflecting
distributions
across
soil
moisture
availability.
Alpha
values,
on
other
hand,
generally
not
significantly
correlated,
suggesting
several
independent
axes
differentiation
within
communities.
This
framework
novel
integrate
ecology
analysis
with
coexistence
theory.
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.
The American Naturalist,
Journal Year:
2007,
Volume and Issue:
170(2), P. 271 - 283
Published: July 24, 2007
Taxa
co‐occurring
in
communities
often
represent
a
nonrandom
sample,
phenotypic
or
phylogenetic
terms,
of
the
regional
species
pool.
While
heuristic
arguments
have
identified
processes
that
create
community
patterns,
further
progress
hinges
on
more
comprehensive
understanding
interactions
between
underlying
ecological
and
evolutionary
processes.
We
created
simulation
framework
to
model
trait
evolution,
assemble
(via
competition,
habitat
filtering,
neutral
assembly),
test
pattern
resulting
communities.
found
structure
is
greatest
when
traits
are
highly
conserved
multiple
influence
membership
Habitat
filtering
produces
stronger
taxa
with
derived
(as
opposed
ancestral)
favored
community.
Nearest‐relative
tests
greater
power
detect
patterns
due
while
total
relatedness
perform
better
filtering.
The
size
local
relative
pool
strongly
influences
statistical
power;
general,
increases
larger
sizes
for
by
but
decreases
competition.
Our
results
deepen
our
contribute
provide
guidance
design
interpretation
empirical
research.
Ecological Monographs,
Journal Year:
2010,
Volume and Issue:
80(3), P. 469 - 484
Published: July 12, 2010
Functional
diversity
is
the
of
species
traits
in
ecosystems.
This
concept
increasingly
used
ecological
research,
yet
its
formal
definition
and
measurements
are
currently
under
discussion.
As
overall
behavior
consistency
functional
indices
have
not
been
described
so
far,
novice
user
risks
choosing
an
inaccurate
index
or
a
set
redundant
to
represent
diversity.
In
our
study
we
closely
examine
clarify
their
accuracy,
consistency,
independence.
Following
current
theory,
categorize
them
into
richness,
evenness,
divergence
indices.
We
considered
existing
as
well
new
developed
this
study.
The
aimed
at
remedying
weaknesses
(e.g.,
by
taking
account
intraspecific
variability).
Using
virtual
data
sets,
test
(1)
whether
respond
community
changes
expected
from
category
(2)
within
each
consistent
independent
other
categories.
also
accuracy
methods
proposed
for
use
categorical
traits.
Most
classical
richness
either
failed
describe
were
correlated
with
therefore
recommend
using
that
consider
variability
thus
empty
space
niche
space.
contrast,
most
evenness
performed
respect
all
tests.
For
variables,
do
blending
discrete
real‐valued
(except
based
on
distance
measures)
since
no
transposable
meaning
Nonetheless,
can
be
applied
(using
trait
levels
instead
species)
order
equitability.
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.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2010,
Volume and Issue:
86(4), P. 792 - 812
Published: Dec. 14, 2010
One
of
the
oldest
challenges
in
ecology
is
to
understand
processes
that
underpin
composition
communities.
Historically,
an
obvious
way
which
describe
community
compositions
has
been
diversity
terms
number
and
abundances
species.
However,
failure
reject
contradictory
models
led
communities
now
being
characterized
by
trait
phylogenetic
diversities.
Our
objective
here
demonstrate
how
species,
can
be
combined
together
from
large
local
spatial
scales
reveal
historical,
deterministic
stochastic
impact
Research
this
area
recently
advanced
development
mathematical
measures
incorporate
dissimilarities
relatedness
between
have
developed
independently
conversely
most
measures.
This
semantic
confusions
particularly
when
classical
ecological
evolutionary
approaches
are
integrated
so
closely
together.
Consequently,
we
propose
a
unified
framework
importance
links
among
indices.
Furthermore,
indices
differ
ways
they
used
across
different
scales.
The
connections
large-scale,
regional
allow
consideration
historical
factors
addition
or
processes.
Phylogenetic
large-scale
analyses
determine
and/or
environmental
affect
both
formation
species
assemblages
patterns
richness
latitude
elevation
gradients.
Both
at
identify
relative
impacts
such
as
filtering
limiting
similarity
alternative
random
speciation
extinction,
dispersal
drift.
Measures
combine
phenotypic
genetic
potential
that,
comparative
way,
structures
essential
details
might
act
simultaneously
assembly
We
highlight
directions
for
future
research.
These
include
variation
alters
with
distances,
role
global-scale
gradients,
traits
phylogeny,
rarity
independent
history
assembly,
loss
due
human
impacts,
developments
biodiversity
including
within-species
variations.
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
.