Ecology Letters,
Journal Year:
2009,
Volume and Issue:
12(11), P. 1250 - 1260
Published: Sept. 1, 2009
Theoretical
models
predict
that
effects
of
dispersal
on
local
biodiversity
are
influenced
by
the
size
and
composition
species
pool,
as
well
ecological
filters
limit
membership.
We
tested
these
predictions
conducting
a
meta-analysis
28
studies
encompassing
62
experiments
examining
propagule
supply
(seed
arrival)
plant
richness
under
contrasting
intensities
(owing
to
disturbance
resource
availability).
Seed
arrival
increased
in
wide
range
communities
(forest,
grassland,
montane,
savanna,
wetland),
resulting
positive
mean
effect
across
experiments.
Mean
was
70%
higher
disturbed
relative
undisturbed
communities,
suggesting
increases
recruitment
opportunities
for
immigrating
species.
In
contrast,
not
significantly
nutrient
or
water
availability.
Among
seed-addition
experiments,
positively
correlated
with
functional
diversity
within
pool
added
seeds
(species
evenness
seed-size
diversity),
primarily
communities.
Our
analysis
provides
experimental
support
general
hypothesis
pools
environmental
heterogeneity
interactively
structure
highlight
empirical
gaps
can
be
addressed
future
discuss
implications
community
assembly,
coexistence,
maintenance
biodiversity.
Ecology Letters,
Journal Year:
2004,
Volume and Issue:
7(7), P. 601 - 613
Published: June 4, 2004
Abstract
The
metacommunity
concept
is
an
important
way
to
think
about
linkages
between
different
spatial
scales
in
ecology.
Here
we
review
current
understanding
this
concept.
We
first
investigate
issues
related
its
definition
as
a
set
of
local
communities
that
are
linked
by
dispersal
multiple
potentially
interacting
species.
then
identify
four
paradigms
for
metacommunities:
the
patch‐dynamic
view,
species‐sorting
mass
effects
view
and
neutral
each
emphasizes
processes
potential
importance
metacommunities.
These
have
somewhat
distinct
intellectual
histories
discuss
elements
their
future
synthesis.
use
framework
why
useful
modifying
existing
ecological
thinking
illustrate
with
number
both
theoretical
empirical
examples.
As
ecologists
strive
understand
increasingly
complex
mechanisms
work
across
spatio‐temporal
organization,
concepts
like
can
provide
insights
frequently
contrast
those
would
be
obtained
more
conventional
approaches
based
on
alone.
Microbiology and Molecular Biology Reviews,
Journal Year:
2017,
Volume and Issue:
81(4)
Published: Oct. 12, 2017
Understanding
the
mechanisms
controlling
community
diversity,
functions,
succession,
and
biogeography
is
a
central,
but
poorly
understood,
topic
in
ecology,
particularly
microbial
ecology.
Although
stochastic
processes
are
believed
to
play
nonnegligible
roles
shaping
structure,
their
importance
relative
deterministic
hotly
debated.
The
of
ecological
stochasticity
structure
far
less
appreciated.
Some
main
reasons
for
such
heavy
debates
difficulty
defining
diverse
methods
used
delineating
stochasticity.
Here,
we
provide
critical
review
synthesis
data
from
most
recent
studies
on
assembly
We
then
describe
both
components
embedded
various
processes,
including
selection,
dispersal,
diversification,
drift.
also
different
approaches
inferring
observational
diversity
patterns
highlight
experimental
communities.
In
addition,
research
challenges,
gaps,
future
directions
research.
Microbiology and Molecular Biology Reviews,
Journal Year:
2013,
Volume and Issue:
77(3), P. 342 - 356
Published: Sept. 1, 2013
Recent
research
has
expanded
our
understanding
of
microbial
community
assembly.
However,
the
field
ecology
is
inaccessible
to
many
ecologists
because
inconsistent
and
often
confusing
terminology
as
well
unnecessarily
polarizing
debates.
Thus,
we
review
recent
literature
on
assembly,
using
framework
Vellend
(Q.
Rev.
Biol.
85:183-206,
2010)
in
an
effort
synthesize
unify
these
contributions.
We
begin
by
discussing
patterns
biogeography
then
describe
four
basic
processes
(diversification,
dispersal,
selection,
drift)
that
contribute
also
discuss
different
combinations
where
when
they
may
be
most
important
for
shaping
communities.
The
spatial
temporal
scales
assembly
are
discussed
relation
processes.
Throughout
this
paper,
highlight
differences
between
microbes
macroorganisms
generate
hypotheses
describing
how
end
implications
ecosystem
function
biodiversity.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2015,
Volume and Issue:
46(1), P. 1 - 23
Published: Aug. 5, 2015
The
order
and
timing
of
species
immigration
during
community
assembly
can
affect
abundances
at
multiple
spatial
scales.
Known
as
priority
effects,
these
effects
cause
historical
contingency
in
the
structure
function
communities,
resulting
alternative
stable
states,
transient
or
compositional
cycles.
mechanisms
fall
into
two
categories,
niche
preemption
modification,
conditions
for
by
be
organized
groups,
those
regarding
regional
pool
properties
local
population
dynamics.
Specifically,
requirements
must
satisfied
to
occur:
contains
that
together
dynamics
are
rapid
enough
early-arriving
preempt
modify
niches
before
other
arrive.
Organizing
current
knowledge
this
way
reveals
an
outstanding
key
question:
How
pools
yield
generated
maintained?
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2011,
Volume and Issue:
366(1576), P. 2351 - 2363
Published: July 18, 2011
Deterministic
theories
in
community
ecology
suggest
that
local,
niche-based
processes,
such
as
environmental
filtering,
biotic
interactions
and
interspecific
trade-offs
largely
determine
patterns
of
species
diversity
composition.
In
contrast,
more
stochastic
emphasize
the
importance
chance
colonization,
random
extinction
ecological
drift.
The
schisms
between
deterministic
perspectives,
which
date
back
to
earliest
days
ecology,
continue
fuel
contemporary
debates
(e.g.
niches
versus
neutrality).
As
illustrated
by
pioneering
studies
Robert
H.
MacArthur
co-workers,
resolution
these
requires
consideration
how
local
processes
changes
across
scales.
Here,
we
develop
a
framework
for
disentangling
relative
generating
site-to-site
variation
composition
(β-diversity)
along
gradients
(disturbance,
productivity
interactions)
among
biogeographic
regions
differ
size
regional
pool.
We
illustrate
discern
using
null-model
approaches
explicitly
account
factors
inherently
create
turnover.
By
embracing
scales,
can
build
synthetic
understanding
structure
biodiversity
face
emerge
from
factors.
Science,
Journal Year:
2012,
Volume and Issue:
336(6086), P. 1255 - 1262
Published: June 7, 2012
The
human-microbial
ecosystem
plays
a
variety
of
important
roles
in
human
health
and
disease.
Each
person
can
be
viewed
as
an
island-like
"patch"
habitat
occupied
by
microbial
assemblages
formed
the
fundamental
processes
community
ecology:
dispersal,
local
diversification,
environmental
selection,
ecological
drift.
Community
assembly
theory,
metacommunity
theory
particular,
provides
framework
for
understanding
dynamics
microbiome,
such
compositional
variability
within
between
hosts.
We
explore
three
core
scenarios
microbiome
assembly:
development
infants,
representing
previously
unoccupied
habitats;
recovery
from
antibiotics,
after
disturbance;
invasion
pathogens,
context
invasive
species.
Judicious
application
may
lead
to
improved
strategies
restoring
maintaining
microbiota
crucial
health-associated
services
that
it
provides.
Proceedings of the National Academy of Sciences,
Journal Year:
2015,
Volume and Issue:
112(11)
Published: March 2, 2015
Significance
Across
ecology,
and
particularly
within
microbial
there
is
limited
understanding
of
the
mechanisms
governing
relative
influences
stochastic
deterministic
processes.
Filling
this
knowledge
gap
a
major
challenge
that
requires
development
novel
conceptual
paradigms,
experiments,
ecological
models.
Here
we
(
i
)
present
model
couples
stochastic/deterministic
balance
to
primary
secondary
succession,
thereby
integrating
previously
isolated
domains;
ii
evaluate
over
105
years
ecosystem
development,
revealing
systematic
shift
in
type
strength
selection;
iii
couple
empirical
data
with
new
simulation
elucidate
underlying
characterize
their
scale
dependency.
The
insights
framework
provided
here
represent
nexus
for
cross-system
integration.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2012,
Volume and Issue:
43(1), P. 227 - 248
Published: Aug. 30, 2012
Although
research
on
the
role
of
competitive
interactions
during
community
assembly
began
decades
ago,
a
recent
revival
interest
has
led
to
new
discoveries
and
opportunities.
Using
contemporary
coexistence
theory
that
emphasizes
stabilizing
niche
differences
relative
fitness
differences,
we
evaluate
three
empirical
approaches
for
studying
assembly.
We
show
experimental
manipulations
abiotic
or
biotic
environment,
assessments
trait-phylogeny-environment
relationships,
investigations
frequency-dependent
population
growth
all
suggest
strong
influences
outcome
plant
Nonetheless,
due
limitations
these
applied
in
isolation,
still
have
poor
understanding
which
axes
traits
determine
competition
structure.
Combining
current
represents
our
best
chance
achieving
this
goal,
is
fundamental
conceptual
ecology
management
communities
under
global
change.
Diversity and Distributions,
Journal Year:
2008,
Volume and Issue:
15(1), P. 22 - 40
Published: Oct. 11, 2008
ABSTRACT
Aim
Invasion
ecology
includes
many
hypotheses.
Empirical
evidence
suggests
that
most
of
these
can
explain
the
success
some
invaders
to
degree
in
circumstances.
If
they
all
are
correct,
what
does
this
tell
us
about
invasion?
We
illustrate
major
themes
invasion
ecology,
and
provide
an
overarching
framework
helps
organize
research
foster
links
among
subfields
more
generally.
Location
Global.
Methods
review
synthesize
29
leading
hypotheses
plant
ecology.
Structured
around
propagule
pressure
(P),
abiotic
characteristics
(A)
biotic
(B),
with
additional
influence
humans
(H)
on
P,
A
B
(hereon
PAB),
we
show
how
fit
into
one
paradigm.
P
is
based
size
frequency
introductions,
incorporates
ecosystem
invasibility
physical
conditions,
invading
species
(invasiveness),
recipient
community
their
interactions.
Having
justified
PAB
framework,
propose
a
way
which
could
progress.
Results
By
highlighting
common
ground
hypotheses,
encumbered
by
theoretical
redundancy
be
removed
through
integration.
Using
both
holistic
incremental
approaches,
guide
quantify
relative
importance
different
mechanisms.
Main
conclusions
prime
aim
identify
main
cause
success,
contend
top‐down
approach
focuses
maximizes
efficiency.
This
identifies
influential
factors
first,
subsequently
narrows
number
potential
causal
viewing
as
multifaceted
process
partitioned
drivers
broken
down
series
sequential
steps,
theory
rigorously
tested,
understanding
improved
effective
weed
management
techniques
identified.