Global Ecology and Biogeography,
Год журнала:
2016,
Номер
26(4), С. 400 - 411
Опубликована: Ноя. 21, 2016
Abstract
Aim
Globally,
the
geographical
distributions
of
species
are
dynamic
and
strongly
influenced
by
dispersal.
At
same
time,
range
dynamics
feed
back
may
select
for
increased
dispersal
at
expanding
fronts.
This
interplay
between
macroecological
evolutionary
happens
almost
universally
across
environmental
gradients
such
can
have
a
direct
impact
on
fitness
organisms
due
to
match
or
mismatch
an
individual's
optimum
current
conditions
along
gradient.
Importantly,
also
provide
individuals
with
information
changes
because
dispersing
sense
whether
improve
deteriorate.
However,
ability
use
this
environment
subsequently
adjust
decisions
plastically,
that
is,
deciding
further
disperse
into
gradient
not,
has
been
largely
ignored
consequences
remain
unclear.
We
here
aim
demonstrate
informed
eco‐evolutionary
ranges.
Location
Laboratory
theoretical.
Methods
used
individual‐based
simulations
controlled
experiments
in
replicated
microcosm
landscapes.
Range
expansions
protist
model
organism
Tetrahymena
were
tracked
using
video
recording
analysis.
Results
show
had
severe
inverted
spatial
distribution
population
densities
comparison
controls
where
was
not
provided.
Additionally,
prevented
rates
acceleration
expansion.
Main
conclusions
strong
subsequent
behavioural
gradients.
More
generally,
our
findings
highlight
importance
ecological
dynamics.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Год журнала:
2017,
Номер
93(1), С. 574 - 599
Опубликована: Авг. 3, 2017
Dispersal
is
a
process
of
central
importance
for
the
ecological
and
evolutionary
dynamics
populations
communities,
because
its
diverse
consequences
gene
flow
demography.
It
subject
to
change,
which
begs
question,
what
genetic
basis
this
potentially
complex
trait?
To
address
we
(i)
review
empirical
literature
on
dispersal,
(ii)
explore
how
theoretical
investigations
evolution
dispersal
have
represented
genetics
(iii)
discuss
influences
predictions
potential
consequences.
has
detectable
in
many
organisms,
from
bacteria
plants
animals.
Generally,
there
evidence
significant
variation
or
dispersal-related
phenotypes
micro-evolution
natural
populations.
typically
outcome
several
interacting
traits,
complexity
reflected
architecture:
while
some
genes
moderate
large
effect
can
influence
certain
aspects
traits
are
polygenic.
Correlations
among
as
well
between
other
under
selection
common,
be
highly
environment-dependent.
By
contrast,
models
historically
considered
simplified
architecture
dispersal.
only
recently
that
started
consider
multiple
loci
influencing
non-additive
effects
such
dominance
epistasis,
showing
rates
outcomes,
especially
non-equilibrium
conditions.
For
example,
number
controlling
projected
during
range
shifts
corresponding
demographic
impacts.
Incorporating
more
realism
thus
necessary
enable
move
beyond
purely
towards
making
useful
current
future
environmental
inform
these
advances,
studies
need
answer
outstanding
questions
concerning
whether
specific
underlie
variation,
context-dependent
behaviours,
correlations
traits.
Oikos,
Год журнала:
2016,
Номер
126(4), С. 472 - 479
Опубликована: Окт. 13, 2016
The
study
of
tradeoffs
among
major
life
history
components
(age
at
maturity,
lifespan
and
reproduction)
allowed
the
development
a
quantitative
framework
to
understand
how
environmental
variation
shapes
patterns
biodiversity
within
species.
Because
every
environment
is
inherently
spatially
structured,
in
most
cases
temporally
variable,
individuals
need
move
habitats
maximize
fitness.
Dispersal
often
assumed
be
tightly
integrated
into
histories
through
genetic
correlations
with
other
vital
traits.
This
assumption
particularly
strong
context
fast‐slow
continuum
life‐history
variation.
Such
date
used
explain
many
aspects
population
community
dynamics.
Evidence
for
consistent
context‐independent
integration
dispersal
is,
however,
weak.
We
therefore
advocate
explicit
theory
as
principal
axis
influencing
fitness,
that
free
evolve,
independently
synthesize
theoretical
empirical
evidence
on
central
role
its
evolutionary
dynamics
spatial
distribution
ecological
strategies
impact
spread,
invasions
coexistence.
By
applying
an
optimality
we
show
inclusion
independent
dimension
might
substantially
change
our
view
trajectories
structured
environments.
changes
configuration
affect
costs
movement
dispersal,
adaptations
reduce
these
will
increase
phenotypic
divergence
populations.
outline
this
heterogeneity
anticipated
further
Nature Communications,
Год журнала:
2017,
Номер
8(1)
Опубликована: Янв. 27, 2017
Genetic
variation
in
dispersal
ability
may
result
the
spatial
sorting
of
alleles
during
range
expansion.
Recent
theory
suggests
that
can
favour
rapid
evolution
life
history
traits
at
expanding
fronts,
and
therefore
modify
ecological
dynamics
Here
we
test
this
prediction
by
disrupting
replicated
invasions
bean
beetle
Callosobruchus
maculatus
across
homogeneous
experimental
landscapes.
We
show
promotes
distance,
which
increases
speed
variability
invasions:
after
10
generations
expansion,
subject
to
spread
8.9%
farther
exhibit
41-fold
more
variable
relative
is
suppressed.
Correspondingly,
descendants
from
spatially
evolving
greater
mean
variance
distance.
Our
results
reveal
an
important
role
for
invasion,
even
absence
environmental
filters,
argue
evolutionarily
informed
forecasts
invasive
exotic
species
or
climate
change
migration
native
species.
Functional Ecology,
Год журнала:
2018,
Номер
33(1), С. 13 - 30
Опубликована: Ноя. 14, 2018
Abstract
Theoretical
models
pertaining
to
feedbacks
between
ecological
and
evolutionary
processes
are
prevalent
in
multiple
biological
fields.
An
integrative
overview
is
currently
lacking,
due
little
crosstalk
the
fields
use
of
different
methodological
approaches.
Here,
we
review
a
wide
range
eco‐evolutionary
highlight
their
underlying
assumptions.
We
discuss
where
occur
both
within
hierarchical
levels
ecosystems,
including
populations,
communities
abiotic
environments,
consider
across
spatial
scales.
Identifying
commonalities
among
feedback
models,
assumptions,
helps
us
better
understand
mechanistic
basis
feedbacks.
Eco‐evolutionary
can
be
readily
modelled
by
coupling
demographic
formalisms.
provide
an
these
approaches
suggest
future
modelling
avenues.
Our
highlights
that
have
been
incorporated
theoretical
work
for
nearly
century.
Yet,
this
does
not
always
include
notion
rapid
evolution
or
concurrent
time
show
importance
density‐
frequency‐dependent
selection
feedbacks,
as
well
dispersal
central
linking
trait
ecology
context.
A
plain
language
summary
available
article.
Ecography,
Год журнала:
2019,
Номер
42(7), С. 1280 - 1297
Опубликована: Март 28, 2019
We
urgently
need
to
predict
species
responses
climate
change
minimize
future
biodiversity
loss
and
ensure
we
do
not
waste
limited
resources
on
ineffective
conservation
strategies.
Currently,
most
predictions
of
ignore
the
potential
for
evolution.
However,
evolution
can
alter
ecological
responses,
different
aspects
ecology
interact
produce
complex
eco‐evolutionary
dynamics
under
change.
Here
review
how
could
warm
cool
range
margins,
where
be
especially
important.
discuss
in
isolation,
then
synthesize
results
consider
multiple
evolutionary
processes
might
affect
On
dispersal
increase
expansion
rates
allow
adapt
novel
conditions
their
new
range.
low
genetic
variation
drift
small
range‐front
populations
also
slow
or
halt
expansions.
Together,
these
effects
cause
a
three‐step,
stop‐and‐go
pattern
many
species.
isolation
among
maintain
high
that
facilitates
climates
allows
persist
longer
than
expected
without
This
‘evolutionary
extinction
debt’
prevent
other
from
shifting
ranges.
as
increases
populations,
increasing
mortality
select
decreased
rapid
contractions.
Some
explain
why
are
responding
predicted.
conclude
by
suggesting
resurveying
historical
studies
measured
trait
frequencies,
strength
selection,
heritabilities
an
efficient
way
our
knowledge
biology.
Proceedings of the National Academy of Sciences,
Год журнала:
2017,
Номер
114(51), С. 13501 - 13506
Опубликована: Ноя. 28, 2017
Significance
It
is
crucial
to
understand
what
governs
the
growth
and
spread
of
populations
colonizing
novel
environments
better
predict
species
responses
global
change,
including
range
shifts
in
response
warming
biological
invasions.
Evolutionary
processes
can
be
rapid
enough
influence
populations;
however,
it
unclear
whether
evolution
course
colonization
events
or
if
an
outcome
that
arises
gradually
after
successful
establishment.
We
either
allowed
restricted
replicate
released
a
environment,
found
were
evolve
grew
three
times
larger
expanded
their
ranges
46%
faster
compared
with
nonevolving
populations.
Thus,
facilitates
from
outset
should
considered
management
decisions.
Science,
Год журнала:
2016,
Номер
353(6298), С. 482 - 485
Опубликована: Июль 28, 2016
Patchy
landscapes
select
for
invasiveness
Invasive
species
are
ubiquitous
in
human-dominated
landscapes,
yet
we
have
only
limited
understanding
of
their
ecological
and
evolutionary
dynamics.
Williams
et
al.
used
an
experimental
system
with
the
model
plant
Arabidopsis
thaliana
to
examine
how
evolution
affects
spread
populations
through
varying
patchiness.
Plant
height
dispersal
ability
evolved
more
rapidly
patchier
suggesting
that
fragmentation
can
rapid
invasion
velocity.
Hence,
may
need
be
taken
into
account
predictions
future
rates.
Science
,
this
issue
p.
482
Nature Communications,
Год журнала:
2017,
Номер
8(1)
Опубликована: Янв. 27, 2017
Abstract
Range
expansions
are
central
to
two
ecological
issues
reshaping
patterns
of
global
biodiversity:
biological
invasions
and
climate
change.
Traditional
theory
considers
range
expansion
as
the
outcome
demographic
processes
birth,
death
dispersal,
while
ignoring
evolutionary
implications
such
processes.
Recent
research
suggests
evolution
could
also
play
a
critical
role
in
determining
speed
but
controlled
experiments
lacking.
Here
we
use
flour
beetles
(
Tribolium
castaneum
)
show
experimentally
that
mean
stochastic
variation
both
increased
by
rapid
traits
at
edge.
We
find
higher
dispersal
ability
lower
intrinsic
growth
rates
evolve
edge
compared
with
spatially
nonevolving
controls.
Furthermore,
these
is
variable,
leading
enhanced
variance
among
replicate
population
expansions.
Our
results
demonstrate
must
be
considered
alongside
ones
better
understand
predict
Ecography,
Год журнала:
2016,
Номер
40(1), С. 9 - 25
Опубликована: Сен. 29, 2016
It
is
widely
recognized
that
ecological
dynamics
influence
evolutionary
dynamics,
and
conversely
changes
alter
processes.
Because
fragmentation
impacts
all
biological
levels
(from
individuals
to
ecosystems)
through
isolation
reduced
habitat
size,
it
strongly
affects
the
links
among
processes
such
as
population
local
adaptation,
dispersal
speciation.
Here,
we
review
our
current
knowledge
of
eco‐evolutionary
in
fragmented
landscapes,
focusing
on
both
theory
experimental
studies.
We
then
suggest
future
directions
study
and/or
feedbacks
especially
bridge
gap
between
theoretical
predictions
validations.
The American Naturalist,
Год журнала:
2018,
Номер
192(6), С. 687 - 697
Опубликована: Окт. 22, 2018
The
temperature
dependence
of
highly
conserved
subcellular
metabolic
systems
affects
ecological
patterns
and
processes
across
scales,
from
organisms
to
ecosystems.
Population
density
at
carrying
capacity
plays
an
important
role
in
evolutionary
processes,
biodiversity,
ecosystem
function,
yet
how
it
varies
with
temperature-dependent
metabolism
remains
unclear.
Though
the
exponential
effect
on
intrinsic
population
growth
rate,
r,
is
well
known,
we
still
lack
clear
evidence
that
capacity,
K,
declines
increasing
per
capita
as
predicted
by
theory
ecology
(MTE).
We
experimentally
tested
whether
effects
photosynthesis
propagate
directly
a
model
species,
mobile
phytoplankton
Tetraselmis
tetrahele.
After
maintaining
populations
fixed
resource
supply
temperatures
for
43
days,
found
declined
temperature.
This
decline
was
quantitatively
when
models
included
rates
temperature-associated
body-size
shifts.
Our
results
demonstrate
warming
reduces
body
size
rate
interact
determine
dynamics.
These
findings
bolster
efforts
relate
via
MTE.