In
ecosystems,
species
interact
in
various
ways
with
other
species,
and
their
local
environment.
addition,
ecosystems
are
coupled
space
by
diverse
types
of
flows.
From
these
links
connecting
different
ecological
entities
can
emerge
circular
pathways
indirect
effects:
feedback
loops.
This
contributes
to
creating
a
nested
set
feedbacks
operating
at
organizational
levels
as
well
spatial
temporal
scales
systems:
modifying
being
affected
abiotic
environment,
demographic
behavioral
within
populations
communities,
occurring
the
landscape
scale.
Here,
we
review
how
vary
time,
discuss
emergent
properties
they
generate
such
coexistence
or
heterogeneity
stability
systems.
With
aim
identifying
similarities
across
scales,
identify
biotic
modulators
that
change
sign
strength
loops
show
time.
Our
shows
despite
acting
emerging
from
processes,
similar
macroscopic
systems
organization.
Ultimately,
our
contribution
emphasizes
need
integrate
improve
understanding
joint
effects
on
dynamics,
patterns,
Ecology Letters,
Journal Year:
2023,
Volume and Issue:
26(S1)
Published: Sept. 1, 2023
Developing
deeper
links
between
ecology
and
evolution
is
not
a
new
idea
has
been
advocating
since
at
least
the
1950s
(Futuyma,
1986),
but
most
20th-century
attempts
can
be
considered
more
as
rapprochement
than
actual
integration
(Huneman,
2019
for
detailed
historical
review).
However,
based
on
early
isolated
insights
(e.g.
Antonovics,
1976;
Pimentel,
1961),
revivified
over
last
two
decades,
around
concepts
of
eco-evolutionary
dynamics
feedbacks
(Hendry,
2017).
Significant
efforts
have
indeed
made
to
percolate
ideas
fields,
especially
across
biodiversity
levels
Hendry,
2017;
Leibold
&
Chase,
Loreau,
2010;
Vellend,
2016),
even
if
(i)
done
population
community
level
higher
ecological
organization
including
ecosystem
functioning)
(ii)
analyses
reciprocal
remain
rare
compared
mainstream
research
in
either
field.
The
number
studies
claiming
‘eco–evo’
risen
sharply
(Bassar
et
al.,
2021),
these
actually
represent
classical
‘eco’
or
‘evo’
approaches,
raising
question
what
eco–evo
really
is.
definition
proposed
by
Bassar
al.
(2021;
see
also
2017,
chapter
1)
may
serve
baseline,
built
assumption
that
evolutionary
processes
occur
same
timescales
because
this
allows
true
(EED)
feedbacks.
Fast
global
change
temperature
increase;
IPCC,
2023)
leading
enhanced
selective
pressure
certainly
good
reason
considering
such
EED,
highlighting
fact
fast
match
environmental
(and
loss;
Diaz
Malhi,
2022).
From
definition,
debate
must)
develop
integrate
concepts,
practices
into
special
issue
(general
outline
Figure
1),
revivifying
several
themes:
first
relies
itself,
with
all
(from
molecule
biomes),
branches
tree
life,
some
overlooked
aspects
variability.
other
themes
are
concerned
extending
temporal
implicitly
spatial)
frame
which
unfolds,
full
range
forces
acting
biodiversity,
lastly
revisiting
models.
Rather
commenting
sequentially
each
paper
issue,
we
chosen
summary
gather
suggestions
presented
themes—all
so
articles
contribute
multiple
(Figure
1).
They
order
importance,
although
papers
offer
general
perspectives
others.
Of
course,
does
exhaust
field
possibilities.
Each
suggests
avenues
further
research,
mention
(Conclusion)
additional
directions
here,
worth
exploring.
Biodiversity
classically
hierarchically
from
molecules
ecosystems
(or
biomes).
While
somewhat
caricature,
there
truth
view
penetrance
theory
much
stronger
smallest
entities
(genes,
populations),
while
theories
generally
complex
(communities,
ecosystems)
(see
top
left
part
connected
multifarious
selection,
predation,
variable
environments),
EED
play
role
feedback
2010).
This
strong
incentive
consider
levels.
A
entry
Yamamichi,
Letten,
Schreiber
(2023)
who
conduct
an
analysis
models
genetics
following
approach
advocated
Vellend
(2016):
clear
parallels
between,
example,
selection
competition
gene
flow
dispersal.
focus
critical
temporally
fluctuating
environments
maintaining
variation
both
within
among
species
through
EED.
Drawing
Chesson
(2000)'s
coexistence,
they
begin
simple
lottery
model
used
fields
explore
how
storage
effect
affects
genetic
diversity,
incrementally
complexifying
account
‘reality’.
pedagogic
open
beyond
example
respective
drift
(Yamamichi,
Schreiber,
2023).
second
entry,
Calcagno
(2023),
simultaneously
trophic
chains.
What
constrains
their
complexity,
length,
central
(Calcagno
2011)
envisaged
tension
top-down
predation)
habitat-selection
effects
metacommunity
context,
space
being
maintenance
2011).
introduce
ounce
perspective,
dispersal
rates
evolve
under
mutation
pressure;
leads
longer
food
chains,
depending
on,
competition-colonization
trade-off
species.
benefit
decreases
when
increasingly
Here,
only
evolves,
worthy
perspectives,
instance
descriptions
individual
phenotypes
mean
trait
value.
How
itself
affect
perturbation
regime
taking
aspect
reconsider
life
dealt
well
To
put
it
bluntly,
microbes
overlooked,
bulk
conducted
multicellular
organisms
(Loreau
2023;
Martiny
point
just
‘unfair’,
looking
world
microbial
perspective
drastically
changes
meaning
dynamics.
Indeed,
let
us
imagine
would
had
written
before
rise
organisms:
disentangling
difficult
realm
any
meaning.
concept
poorly
applies,
horizontal
transfers
common,
Operational
Taxonomic
Units
communities
separated
larger
distances
macro-organisms
(Martiny
fundamental
differences
abundance
genotype
frequencies
therefore
blurred.
Microbes,
no
less
macro-organisms,
respond
solutions
going
rapid
broad-scale
shifts,
up
those
biogeochemical
governing
functioning
dynamics,
implies
potential
lead
indistinct
players
collectively
expressing
functional
redundancy,
should
now
dig
natural
fully
make
sense
role.
Recent
work
shown
possible
quantify
evaluate
its
impact
decomposition
soils
regarding
facets
variability,
species,
Variability
needed
proceed,
ecology,
particular
resilience
mechanism
unpredictable
conditions.
Variance
key
above
essentially
(Violle
2012).
Yet,
short
analysing
variance
biology.
assessing
phenotypic
values,
might
significant
Contributing
filling
gap
goal
Sanderson
compilation
means
variances
measured
context
changes.
Means
globally
positively
correlated,
distribution
very
similar.
No
patterns
emerge
different
types
changes,
traits,
rendering
prediction
future
trends
difficult.
conclude
still
build
ambitious
datasets
wide
organisms,
link
variance,
pre-requisite
studies.
Part
due
plasticity,
here
again,
plethora
(Pfennig,
2021).
plasticity
propagating
networks
remains
evaluated.
Gómez
specifically
contributes
expand
shift
interaction
niche,
cause
colonization
niches.
topology
rewired,
empirical
evaluation
metrics
nestedness
modularity.
That
various
characteristics
confronted
perturbations,
resistance
invasions,
interesting
(Gómez
Whether
defined
network
scale
submitted
contentious.
specify
drive
cases.
Perhaps,
stoichiometry
variability
(El-Sabaawi
2023)—ecological
relative
supply
demand
essential
elements,
carbon,
nitrogen
phosphorus,
influence
biological
interactions
(Elser
2000).
It
contributed
largely
our
understanding
(Van
de
Waal
2018),
El-Sabaawi
propose
organismal
access
understudied
phenotype.
‘elemental
phenotype’
integrates
body
elemental
content,
elements
acquired,
assimilated,
allocated
released
exhibits
intraspecific
variation,
pressures.
Beyond
providing
direct
biology
fluxes
matter
ecosystems,
opens
connections
notion
traits
(Loranger
integrators
2017),
whole
resource
allocation
(Charnov,
1993;
Stearns,
1992).
includes
well,
therefore,
cascading
(2021)
argued
genuine
eco-evo
unfold
proceed
timescale.
assumed
were
focused
ongoing
processes.
Fronhofer
enlarge
picture
timescale
systems
two-dimensional
space—the
axes
representing
respectively
speed
In
framework,
sensu
stricto
redefined
regard
More
importantly,
states
1
whenever
modulators
modify
rates—such
factors
external
temperature)
internal
them
influenced
factors).
rate
synchronize
evolution.
framework
extends
Hutchinson
(1965)'s
analogy
(the
theatre
play):
time
interacting
players.
(2023)'s
proposal
undermines
usual
‘slow
evolution/fast
ecology'
wisdom
served
decades
‘good
reason’
together.
calls
reconsidering
‘time-scale
separation’
based,
adaptive
considers
weak
assumes
slower
facilitate
Lion
modelling—oligomorphic
dynamics—by
(2023,
below)
way
overcoming
problem
addressing
scales
few
generations
quantitative
offer.
contribution,
doubt,
predicting
change.
Ellner,
Hairston
argue
too
often
reduced
set
(i.e.
negligible
variances,
large
variables;
discuss
deepened,
insisting
drift.
For
know
deleterious
mutations
populations
extinction
(mutational
meltdown;
Lynch
1995),
sorted
out
understand
‘evolution
save’
drives
down
demography
(evolutionary
rescue).
emphasis
directional
balancing
enough
disruptive
Assuming
similar
speeds
lineage
diversification
fusing
after
diversification)
affected
short-
long-term,
microevolution
macroevolution
As
mentioned
above,
effect;
considered.
introduced
provide
umbrella
term
EDD
Kim
another,
applied,
angle
attack,
arguably
contentious
is,
use
technology
genes
interest
populations.
argument
simple:
spread
many
processes,
situations
where
selection.
describe
accounted
studies,
structure
side
side.
economic
release
technologies
laboratory
better
manage
associated
risks.
Considering
previous
section
Hairston,
call
We
already
saw
conceptual
gain
derived
possibility
food-chain
length
2023),
analogous
perhaps
opening
door
major
theoretical
approaches
evolution,
namely
(AD)
(QG).
simplified
presentation,
QG
normal
distribution,
AD
results
bivariate
distributions.
get
rid
Gaussian
straitjacket
drawing
Sasaki
Dieckmann
(2011),
‘oligomorphic
dynamics’—the
basic
decompose
multimodal
sum
narrow
unimodal
distributions,
peak
corresponding
morph
characterized
frequency
statistical
moments
elegant
approach,
developed
using
models,
displays
advantages,
others
dynamical
nature
variance.
take
regulation
frequency-
density-dependent
induced
suggest
tighter
data.
Much
exciting
perspective!
Advances
could
come
judicious
extension
Nosil
(2021))
suggested
resilience,
borrowed
(Holling,
1973),
fruitfully
analyse
stability
systems.
Loreau
go
showing
adaptation,
typically
theory,
generalize
adaptation
process
improved
performance
response
multilevel
hierarchical
perspective.
idea,
measure
(fitness
parlance)
connection
group
multi-level
relevant
unicellular
given
blurred
boundaries
border
vast
domain,
course
did
fully.
sketch
pursued.
First,
technological
tools
omics
sensors/probes)
biologists
ecologists
serving
common
objects
dialogue
communities.
Although
covered
explicitly
runs
issue.
Second,
fitness
currency
energy
parts
ecology.
abstract
frameworks
(entropy)
Frank,
2009).
Brown
(2018),
connecting
use,
environment,
evaluation,
pursued
Third,
micro-organisms
interactive
interfaces
encapsulated
holobiont
(Simon
2019).
Both
paradigms
required
echoes
contributions
(2010)
transmission
units.
Last,
least,
management
harness
(Sarrazin
Leconte,
current
problems
hope
future.
authors
drafted
wrote
manuscript.
thank
E.
Fronhofer,
M.
Gessner,
L.
Govaert,
P.
Huneman,
Leibold,
J.
Martiny,
S.
Puijalon,
Vandenkoornhuyse
F.
Viard
stimulating
discussions
framing
Thrall
comments
authors’
supported
CNRS
Institute
Ecology
Environment.
PJ
co-authored
three
Letters.
Irrelevant.
Earth Surface Processes and Landforms,
Journal Year:
2023,
Volume and Issue:
49(1), P. 197 - 209
Published: Nov. 3, 2023
Abstract
We
suggest
that
biogeomorphology
should
challenge
the
traditional
dichotomy
between
living
and
non‐living
components
of
Earth
surface
systems.
To
achieve
this,
biogeomorphologists
gain
a
better
understanding
eco‐evolutionary
models
empirical
findings
developing
at
interface
ecology
evolutionary
biology.
Eco‐evolutionary
explore
feedback
loops
genes,
organisms
physical
or
biological
outside
organism's
body.
This
changes
our
how
interact
with
their
environment
functional
significance
biologically
induced
landforms.
In
niche
construction
framework,
genes
can
be
conceived
as
foundational
units
selection
inheritance,
everything
beyond
this
unit
considered
‘environment’
for
gene
expression,
either
packaged
within
unpackaged
organism.
Both
environments
influenced
by
manufactured
organisms,
respectively,
in
form
phenotypes
constructions.
propose
biomineralized
structures,
such
bones,
osteoderms,
antlers
shells,
which
varying
degrees
an
organism,
well
external
products
termite
mounds,
are
periphery
gradient
variation
relative
dominance
integration
biotic
abiotic
ecosystems.
A
more
explicit
consideration
interrelationships
transcending
boundaries
promote
re‐evaluation
geomorphological
entities.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 21, 2024
Theoretical
studies
from
diverse
areas
of
population
biology
have
shown
that
demographic
stochasticity
can
substantially
impact
evolutionary
dynamics
in
finite
populations,
including
scenarios
where
traits
are
disfavored
by
natural
selection
nevertheless
increase
frequency
through
the
course
evolution.
Here,
we
analytically
describe
eco-evolutionary
populations
first
principles
to
investigate
how
noise-induced
effects
alter
fate
which
total
size
may
vary
stochastically
over
time.
Starting
a
generic
birth-death
process
describing
individuals
with
discrete
traits,
derive
set
stochastic
differential
equations
(SDEs)
recover
well-known
descriptions
such
as
replicator-mutator
equation,
Price
and
Fisher's
fundamental
theorem
infinite
limit.
For
our
SDEs
reveal
predictably
bias
trajectories
favour
certain
phenomenon
call
'noise-induced
biasing'.
We
show
biasing
acts
two
distinct
mechanisms
`direct'
`indirect'
mechanisms.
While
direct
mechanism
be
identified
classic
bet-hedging
theory,
indirect
is
more
subtle
consequence
density-dependent
stochasticity.
Our
lead
evolution
proceeding
direction
opposite
predicted
By
extending
generalizing
some
standard
genetics,
thus
appears
alongside
interacts
well-understood
forces
neutral
drift
determine
non-constant
size.
Ecology Letters,
Journal Year:
2024,
Volume and Issue:
28(1)
Published: Dec. 31, 2024
Evolutionary
change
within
community
members
and
shifts
in
species
composition
via
sorting
contribute
to
trait
dynamics.
However,
we
do
not
understand
when
how
both
processes
Here,
estimated
the
contributions
of
evolution
over
time
(60
days)
bacterial
communities
24
under
selection
by
a
ciliate
predator.
We
found
that
contributed
increased
carrying
capacity,
while
decreased
anti-predator
defences.
The
relative
roles
changed
time,
our
analysis
indicates
if
initial
variation
was
direction
selection,
prevailed,
otherwise
drove
phenotypic
change.
Furthermore,
composition,
population
densities
genomic
were
affected
match-mismatch
combinations
predator
prey
evolutionary
history.
Overall,
findings
help
integrate
ecological
structure
communities.
In
ecosystems,
species
interact
in
various
ways
with
other
species,
and
their
local
environment.
addition,
ecosystems
are
coupled
space
by
diverse
types
of
flows.
From
these
links
connecting
different
ecological
entities
can
emerge
circular
pathways
indirect
effects:
feedback
loops.
This
contributes
to
creating
a
nested
set
feedbacks
operating
at
organizational
levels
as
well
spatial
temporal
scales
systems:
modifying
being
affected
abiotic
environment,
demographic
behavioral
within
populations
communities,
occurring
the
landscape
scale.
Here,
we
review
how
vary
time,
discuss
emergent
properties
they
generate
such
coexistence
or
heterogeneity
stability
systems.
With
aim
identifying
similarities
across
scales,
identify
biotic
modulators
that
change
sign
strength
loops
show
time.
Our
shows
despite
acting
emerging
from
processes,
similar
macroscopic
systems
organization.
Ultimately,
our
contribution
emphasizes
need
integrate
improve
understanding
joint
effects
on
dynamics,
patterns,
In
ecosystems,
species
interact
in
various
ways
with
other
species,
and
their
local
environment.
addition,
ecosystems
are
coupled
space
by
diverse
types
of
flows.
From
these
links
connecting
different
ecological
entities
can
emerge
circular
pathways
indirect
effects:
feedback
loops.
This
contributes
to
creating
a
nested
set
feedbacks
operating
at
organizational
levels
as
well
spatial
temporal
scales
systems:
modifying
being
affected
abiotic
environment,
demographic
behavioral
within
populations
communities,
occurring
the
landscape
scale.
Here,
we
review
how
vary
time,
discuss
emergent
properties
they
generate
such
coexistence
or
heterogeneity
stability
systems.
With
aim
identifying
similarities
across
scales,
identify
biotic
modulators
that
change
sign
strength
loops
show
time.
Our
shows
despite
acting
emerging
from
processes,
similar
macroscopic
systems
organization.
Ultimately,
our
contribution
emphasizes
need
integrate
improve
understanding
joint
effects
on
dynamics,
patterns,