Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 10, 2023
Abstract
Among-individual
variation
in
predator
traits
is
ubiquitous
nature.
However,
the
role
of
intraspecific
trait
trophic
dynamics
has
been
seldom
considered
community
ecology.
This
left
unexplored
a)
to
what
degree
does
among-individual
regulate
prey
populations
and
b)
do
these
effects
vary
spatially.
We
address
questions
by
examining
how
functional
shapes
communities
across
habitats
varying
structural
complexity,
field
conditions
for
first
time.
manipulated
Chinese
mantis
(
Tenodera
sinensis
)
density
variability
experimental
patches
old
fields
with
habitat
complexity
quantified
impacts
on
lower
levels,
specifically
plant
biomass.
Our
groups
thus
contrasted
(six
or
twelve
individuals)
levels
a
key
behavioral
trait,
activity
level
(movement
an
open
field).
metric
was
material.
In
complex
at
high
densities,
behaviorally
variable
decreased
biomass
35.1%,
while
low
arthropod
27.1%.
Behavioral
also
changed
composition.
results
are
among
demonstrate
that
can
shape
species-rich
communities.
Moreover,
depend
both
complexity.
Incorporating
this
important
facet
ecological
diversity
revealed
normally
unnoticed
structure
function
food
webs.
Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
13(3)
Published: March 1, 2023
Intraspecific
variability
(IV)
has
been
proposed
to
explain
species
coexistence
in
diverse
communities.
Assuming,
sometimes
implicitly,
that
conspecific
individuals
can
perform
differently
the
same
environment
and
IV
increases
niche
overlap,
previous
studies
have
found
contrasting
results
regarding
effect
of
on
coexistence.
We
aim
at
showing
large
observed
data
does
not
mean
are
necessarily
different
their
response
role
high-dimensional
environmental
variation
determining
largely
remained
unexplored
forest
plant
first
used
a
simulation
experiment
where
an
individual
attribute
is
derived
from
model,
representing
"perfect
knowledge"
environment,
illustrate
how
result
"imperfect
environment.
Second,
using
growth
clonal
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 4, 2023
Abstract
Modern
Coexistence
Theory
(MCT)
offers
a
conceptually
straightforward
approach
for
connecting
empirical
observations
with
an
elegant
theoretical
framework,
gaining
popularity
rapidly
over
the
past
decade.
However,
beneath
this
surface-level
simplicity
lie
various
assumptions
and
subjective
choices
made
during
data
analysis.
These
can
lead
researchers
to
draw
qualitatively
different
conclusions
from
same
set
of
experiments.
As
predictions
MCT
studies
are
often
treated
as
outcomes,
many
readers
reviewers
may
not
be
familiar
framework’s
assumptions,
there
is
particular
risk
“researcher
degrees
freedom”
inflating
confidence
in
results,
thereby
affecting
reproducibility
predictive
power.
To
tackle
these
concerns,
we
introduce
checklist
consisting
statistical
best-practices
promote
more
robust
applications
MCT.
Our
recommendations
organised
into
four
categories:
presentation
sharing
raw
data,
testing
model
fits,
managing
uncertainty
associated
coefficients,
incorporating
coexistence
predictions.
We
surveyed
published
15
years
discovered
high
degree
variation
level
rigour
adherence
best
practices.
present
case
illustrate
dependence
results
on
seemingly
innocuous
among
competition
structure
error
distributions,
which
some
cases
reversed
predicted
outcomes.
demonstrate
how
analytical
approaches
profoundly
alter
interpretation
experimental
underscoring
importance
carefully
considering
thoroughly
justifying
each
step
taken
analysis
pathway.
serves
resource
authors
alike,
providing
guidance
strengthen
foundation
analyses.
field
shifts
descriptive,
trailblazing
phase
stage
consolidation,
emphasise
need
caution
when
building
upon
findings
earlier
studies.
ensure
that
progress
ecological
based
reliable
evidence,
it
crucial
subject
our
predictions,
conclusions,
generalizability
rigorous
assessment
than
currently
trend.
Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
14(9)
Published: Sept. 1, 2024
Abstract
Understanding
the
relationship
between
intraspecific
trait
variability
(ITV)
and
its
biotic
abiotic
drivers
is
crucial
for
advancing
population
community
ecology.
Despite
importance,
there
a
lack
of
guidance
on
how
to
effectively
sample
ITV
reduce
bias
in
resulting
inferences.
In
this
study,
we
explored
size
affects
estimation
population‐level
ITV,
distribution
sizes
along
an
environmental
gradient
(i.e.,
sampling
design)
impacts
probabilities
committing
Type
I
II
errors.
We
investigated
error
using
four
simulated
scenarios
which
varied
design
strength
ITV‐environment
relationships.
also
applied
simulation
empirical
data
populations
small
mammal,
Peromyscus
maniculatus
across
gradients
latitude
temperature
at
sites
National
Ecological
Observatory
Network
(NEON)
continental
United
States.
found
that
larger
rates
both
silico
populations.
Furthermore,
influence
detecting
relationships
depends
are
distributed
gradients.
High
correlations
environment
result
greater
error,
while
weak
ITV–environmental
showed
high
probabilities.
Therefore,
having
large
even
most
robust
studying
These
findings
shed
light
complex
interplay
among
size,
design,
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2018,
Volume and Issue:
unknown
Published: March 28, 2018
Abstract
Contemporary
studies
of
species
coexistence
are
underpinned
by
deterministic
models
that
assume
competing
have
continuous
(i.e.
non-integer)
densities,
live
in
infinitely
large
landscapes,
and
coexist
over
infinite
time
horizons.
By
contrast,
nature
composed
discrete
individuals
subject
to
demographic
stochasticity,
occur
habitats
finite
size
where
extinctions
time.
One
consequence
these
discrepancies
is
metrics
derived
from
theory
may
be
unreliable
predictors
the
duration
nature.
These
include
invasion
growth
rates
niche
fitness
differences,
which
now
commonly
applied
theoretical
empirical
coexistence.
Here
we
test
efficacy
on
a
world.
We
introduce
new
computational
methods
estimate
times
stochastic
counterparts
classic
competition.
Importantly,
parameterized
this
model
using
experimental
field
data
for
90
pairwise
combinations
18
annual
plants,
allowing
us
derive
biologically-informed
estimates
natural
system.
Strikingly,
find
expected
deterministically
coexist,
habitat
sizes
containing
only
tens
predicted
greater
than
1,
000
years.
also
explain
60%
variation
intrinsic
times,
reinforcing
their
general
usefulness
However,
integrating
information
both
species’
equilibrium
population
could
most
(>
99%)
explained.
This
integration
achieved
with
demographically
uncoupled
single
solely
determined
sizes.
Moreover,
because
complex
relationship
between
overlap/fitness
differences
sizes,
increasing
overlap
did
not
always
result
decreasing
as
would
predict.
Nevertheless,
our
results
tend
support
informed
use
understanding
coexistence,
while
highlighting
need
incorporate
addition
rates.
Microorganisms,
Journal Year:
2022,
Volume and Issue:
10(1), P. 113 - 113
Published: Jan. 6, 2022
Intraspecific
diversity
is
a
substantial
part
of
biodiversity,
yet
little
known
about
its
maintenance.
Understanding
mechanisms
intraspecific
shifts
provides
realistic
detail
how
phytoplankton
communities
evolve
to
new
environmental
conditions,
process
especially
important
in
times
climate
change.
Here,
we
aimed
identify
factors
that
maintain
genotype
and
link
the
observed
change
measured
morpho-functional
traits
Vmax
cell
size
species
genotypes.
In
an
experimental
setup,
two
Emiliania
huxleyi
Chaetoceros
affinis,
each
consisting
nine
genotypes,
were
cultivated
separately
together
under
different
fluctuation
nutrient
regimes.
Their
composition
was
assessed
after
49
91
days,
Shannon’s
index
calculated
on
level.
We
found
higher
can
be
maintained
presence
competitor,
provided
it
has
proportion
total
biovolume.
Both
regime
showed
species-specific
effects
structured
sorting
C.
affinis.
While
could
relate
with
traits,
only
partly
explained.
The
context
dependency
maintenance
suggests
evolutionary
potential
better
understood,
if
studied
more
natural
settings
including
fluctuations
competition.
BMC Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: Jan. 11, 2023
Abstract
Background
Functional
traits
are
phenotypic
that
affect
an
organism’s
performance
and
shape
ecosystem-level
processes.
The
main
challenge
when
using
functional
to
quantify
biodiversity
is
choose
which
ones
measure
since
effort
money
limited.
As
one
way
of
dealing
with
this,
Hodgson
et
al.
(Oikos
85:282,
1999)
introduced
the
idea
two
types
traits,
soft
easy
quick
quantify,
hard
directly
linked
ecosystem
functioning
but
difficult
measure.
If
a
link
exists
between
then
could
use
as
proxy
for
meaningful
assessment
biodiversity.
However,
this
framework
based
on
assumptions:
(1)
must
be
tightly
connected
allow
reliable
prediction
other;
(2)
relationship
monotonic
linear
detected
by
most
common
statistical
techniques
(e.g.
model,
PCA).
Results
Here
we
addressed
those
assumptions
focusing
six
protist
species
Tetrahymena
thermophila
,
vary
both
in
their
measurement
difficulty
meaningfulness.
They
were
classified
as:
(morphological
traits),
intermediate
(movement
traits)
(oxygen
consumption
population
growth
rate).
We
high
number
(>
60%)
non-linear
relations
can
explain
low
significant
found
models
PCA
analysis.
Overall,
these
analyses
did
not
detect
any
strong
enough
predict
trait
another,
does
imply
there
none.
Conclusions
Our
results
highlighted
need
critically
assess
among
used
proxies
they
aim
reflect.
A
thorough
whether
such
exist
across
communities
necessary
next
step
evaluate
it
possible
take
shortcut
quantifying
diversity
collecting
data
easily
measurable
traits.
Journal of Ecology,
Journal Year:
2023,
Volume and Issue:
112(2), P. 374 - 388
Published: Dec. 18, 2023
Abstract
Functional
traits
have
been
proposed
to
define
key
dimensions
of
plant
ecological
strategies,
but
we
lack
consensus
on
whether
can
accurately
predict
demography.
Despite
theoretical
expectations,
it
has
challenging
find
consistent
relationships
between
functional
and
growth.
In
this
study,
quantified
inter‐
intraspecific
trait
variation
(ITV)
individual
growth
rates
woody
plants
across
a
steep
moisture
gradient
that
varies
10‐fold
in
annual
precipitation
(350–3700
mm)
southern
Chile
used
hierarchical
Bayesian
model
as
function
values.
We
show
large‐leaved
species
with
lower
stem
tissue
density
exhibited
the
fastest
rates,
these
two
highest
proportion
interspecific
variation.
Predictions
improved
considerably
(
R
2
best
increased
from
0.28
0.49)
when
species‐level
multiple
their
interactions
were
considered.
The
inclusion
ITV,
however,
did
not
improve
models
rate.
found
trait–growth
rate
always
levels
biological
organization;
observed
at
level
necessarily
hold
level.
wood
or
leaf
size
direction
gradient,
economics
weak
site‐specific.
Synthesis
.
Although
using
more
than
one
predictions,
successfully
predicted
(not
within)
species,
which
is
whole‐plant
carbon
economy.
assert
are
intimately
linked
ultimately
describe
continuum
architecture
economy
covers
syndromes.
Authorea (Authorea),
Journal Year:
2023,
Volume and Issue:
unknown
Published: April 28, 2023
Among-individual
variation
in
predator
traits
is
ubiquitous
nature.
However,
the
role
of
intraspecific
trait
trophic
dynamics
has
been
seldom
considered
community
ecology.
This
left
unexplored
a)
to
what
degree
does
among-individual
regulate
prey
populations
and
b)
do
these
effects
vary
spatially.
We
address
questions
by
examining
how
functional
shapes
communities
across
habitats
varying
structural
complexity,
field
conditions
for
first
time.
manipulated
Chinese
mantis
(Tenodera
sinensis)
density
variability
experimental
patches
old
fields
with
habitat
complexity
quantified
impacts
on
lower
levels,
specifically
plant
biomass.
Our
groups
thus
contrasted
(six
or
twelve
individuals)
levels
a
key
behavioral
trait,
activity
level
(movement
an
open
field).
metric
was
material.
In
complex
at
high
densities,
behaviorally
variable
decreased
biomass
35.1%,
while
low
arthropod
27.1%.
Behavioral
also
changed
composition.
results
are
among
demonstrate
that
can
shape
species-rich
communities.
Further,
depend
both
complexity.
Incorporating
this
important
facet
ecological
diversity
revealed
normally
unnoticed
structure
function
food
webs.
Peer Community Journal,
Journal Year:
2024,
Volume and Issue:
4
Published: March 11, 2024
The
role
of
intraspecific
variability
(IV)
in
shaping
community
dynamics
and
species
coexistence
has
been
intensively
discussed
over
the
past
decade
modelling
studies
have
played
an
important
that
respect.
However,
these
often
implicitly
assume
IV
can
be
represented
by
independent
random
draws
around
species-specific
mean
parameters.
This
major
assumption
largely
remained
undiscussed,
although
a
great
part
observed
is
structured
space
or
time,
particular
when
environmental
dimensions
influence
individual
performance
are
imperfectly
characterised
unobserved
field.
To
test
impact
this
strong
on
outcome
models,
we
designed
simulation
experiment
where
varied
level
knowledge
environment
virtual
communities,
resulting
different
relative
importance
explained
vs
unexplained
spatial
variation
performance.
We
used
simulator
to
generate
communities
is,
not,
added
as
unstructured
noise.
Communities
simulated
with
never
reached
diversity
composition
those
all
was
(perfect
model).
highlights
incorporating
(i.e.
noise)
account
for
(but
structured)
lead
incorrect
simulations
dynamics.
In
addition,
effects
depended
IV,
i.e.
environment,
which
may
partly
explain
contrasting
results
previous
effect
coexistence.
particular,
positive
proportion
model
low,
but
negative
high.
because
noise
either
limit
competitive
exclusion
inferior
competitors
low
destabilise
tight
niche
partitioning
high
dimension.
Our
study
suggests
it
crucial
sources
structure
real
better
understand
its
assembly
properly
include
models.