Functional Ecology,
Journal Year:
2022,
Volume and Issue:
36(10), P. 2673 - 2684
Published: Aug. 12, 2022
Abstract
Understanding
the
flexibility
of
interactions
and
network
rewiring
(i.e.
reassembly
due
to
partner‐switching)
is
necessary
comprehend
how
future
anthropogenic
changes
will
affect
interspecific
functioning
communities.
A
higher
could
be
expected
in
more
disturbed
landscapes
because
these
contain
fewer
generalist
species
with
homogeneous
traits.
We
sampled
pollination
20
wild
Olea
europaea
communities
along
a
disturbance
gradient
evaluate
hypothesis
that
loss
natural
habitats
increases
seasonal
(within‐year)
interaction
plant‐pollinator
communities,
influencing
their
functional
structure.
For
this,
we
particularly
tested
whether
frequency
was
negatively
related
extent
surrounding
influenced
static
structure
networks
(nestedness,
specialization
–H2'–),
high
generalization
(low
–d'–)
abundance
made
them
prone
rewiring.
show
habitat
increased
networks.
Changes
were
cumulative
Nestedness
decreased
(H2')
also
tended
decrease
as
increased,
suggesting
an
indirect
effect
on
robustness
through
dynamics.
As
expected,
insect
plant
However,
flower
had
different
effects
probability
depending
loss,
abundant
less
Likely,
this
context‐dependent
foraging
behaviour
pollinators,
which
may
switch
if
cost
searching
for
trait‐matching
resources
habitats.
Our
work
shows
role
partner‐switching
adapt
new
conditions.
It
highlights
importance
going
beyond
general
metrics
understand
underlying
processes
community‐level
assembly
predict
anticipate
disturbances
services.
Read
free
Plain
Language
Summary
article
Journal
blog.
Journal of Animal Ecology,
Journal Year:
2021,
Volume and Issue:
90(5), P. 1205 - 1216
Published: Feb. 20, 2021
Studying
how
food
web
structure
and
function
vary
through
time
represents
an
opportunity
to
better
comprehend
anticipate
ecosystem
changes.
Yet,
temporal
studies
of
highly
resolved
are
scarce.
With
few
exceptions,
most
either
too
simplified,
preventing
a
detailed
assessment
structural
properties
or
binary,
missing
the
dynamics
energy
fluxes
among
species.
Using
long-term,
multi-trophic
biomass
data
coupled
with
information
on
species
feeding
relationships,
we
analysed
in
Gulf
Riga
(Baltic
Sea)
over
more
than
three
decades
(1981-2014).
We
combined
unweighted
(topology-based)
weighted
(biomass-
flux-based)
approaches,
first,
unravel
distinct
descriptors
can
highlight
differences
(or
similarities)
time,
second,
compare
function.
find
that
substantially
distinctively
likely
reflecting
different
underlying
processes.
While
node-
link-weighted
metrics
reflect
changes
related
alterations
dominance
fluxes,
sensitive
link
richness.
Comparing
unweighted,
topology-based
flux-based
functions
further
indicates
cannot
be
predicted
using
structure.
Rather,
population
weighted,
networks
should
included
dynamics.
By
integrating
metrics,
here
demonstrate
approaches
used
function,
identify
complementary
patterns
change
dynamics,
which
enables
complete
understanding
ecological
processes
at
play
ecosystems
undergoing
change.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2024,
Volume and Issue:
55(1), P. 65 - 88
Published: July 26, 2024
Ecological
networks
of
species
interactions
are
popular
and
provide
powerful
analytical
tools
for
understanding
variation
in
community
structure
ecosystem
functioning.
However,
network
analyses
commonly
used
metrics
such
as
nestedness
connectance
have
also
attracted
criticism.
One
major
concern
is
that
observed
patterns
misinterpreted
niche
properties
specialization,
whereas
they
may
instead
merely
reflect
sampling,
abundance,
and/or
diversity.
As
a
result,
studies
potentially
draw
flawed
conclusions
about
ecological
function,
stability,
or
coextinction
risks.
We
highlight
potential
biases
analyzing
interpreting
species-interaction
review
the
solutions
available
to
overcome
them,
among
which
we
particularly
recommend
use
null
models
account
abundances.
show
why
considering
across
important
their
consequences.
Network
can
advance
knowledge
on
principles
but
only
when
judiciously
applied.
Ecography,
Journal Year:
2023,
Volume and Issue:
2023(9)
Published: July 10, 2023
The
mutualism
between
plants
and
pollinators
is
built
upon
the
trophic
ecology
of
flowers
florivores.
Yet
flowers‐as‐food
left
implicit
in
most
studies
plant–pollinator
ecology,
it
has
been
largely
neglected
mainstream
ecology.
This
deficit
especially
evident
an
emerging
issue
basic
applied
significance:
competition
for
floral
resources.
In
this
synthesis,
we
start
by
exploring
notion
resource
limitation
which
concerning
are
tacitly
predicated.
Both
theoretical
empirical
lines
evidence
indicate
that
must
be
understood
as
a
complex
ecological
contingency;
question
not
simply
whether
but
when,
where
what
regions
trait
space
resources
limiting.
Based
on
premise,
propose
framework
understanding
availability
terms
temporal,
spatial
functional
structure.
While
conceptually
intuitive,
empirically
analytically
demanding.
We
review
existing
methods
measuring
summarizing
multi‐dimensional
structure
resources,
highlight
their
strengths
weaknesses,
identify
opportunities
future
development.
then
discuss
causal
relationships
linking
to
species
coexistence,
community
dynamics,
exogenous
drivers
like
climate,
land
use,
episodic
disturbances.
its
role
both
cause
effect,
mediates
relationship
behavioral
landscape
coexistence
theory
with
respect
Establishing
object
study
application
will
shed
light
questions
guide
management
decisions
contentious
issues
such
compatibility
apiculture
wild
pollinator
conservation
appropriate
use
enhancements
agri‐environment
schemes.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2023,
Volume and Issue:
99(2), P. 329 - 347
Published: Oct. 15, 2023
ABSTRACT
Given
the
marked
variation
in
abiotic
and
biotic
conditions
between
day
night,
many
species
specialise
their
physical
activity
to
being
diurnal
or
nocturnal,
it
was
long
thought
that
these
strategies
were
commonly
fairly
fixed
invariant.
The
term
‘cathemeral’,
coined
1987,
when
Tattersall
noted
a
Madagascan
primate
during
hours
of
both
daylight
darkness.
Initially
be
rare,
cathemerality
is
now
known
quite
widespread
form
time
partitioning
amongst
arthropods,
fish,
birds,
mammals.
Herein
we
provide
synthesis
present
understanding
cathemeral
behaviour,
arguing
should
routinely
included
alongside
nocturnal
schemes
distinguish
categorise
across
taxa
according
temporal
niche.
This
particularly
timely
because
(
i
)
study
animal
patterns
revolutionised
by
new
improved
technologies;
ii
becoming
apparent
covers
diverse
range
obligate
facultative
forms,
each
with
own
common
sets
functional
traits,
geographic
ranges
evolutionary
history;
iii
daytime
nighttime
likely
plays
an
important
but
currently
neglected
role
niche
ecosystem
functioning;
iv
may
have
ability
adapt
human‐mediated
pressures.
BioScience,
Journal Year:
2023,
Volume and Issue:
73(4), P. 280 - 290
Published: April 1, 2023
How
the
relative
impacts
of
anthropogenic
pressures
on
natural
environment
vary
between
different
taxonomic
groups,
habitats,
and
geographic
regions
is
increasingly
well
established.
By
contrast,
times
day
at
which
those
are
most
forcefully
exerted
or
have
greatest
influence
not
understood.
The
impact
nighttime
bears
particular
scrutiny,
given
that
for
practical
reasons
(e.g.,
researchers
themselves
belong
to
a
diurnal
species),
studies
conducted
during
daytime
organisms
predominantly
active
in
ways
do
differentiate
nighttime.
In
present
article,
we
synthesize
current
state
knowledge
environment,
highlighting
key
findings
examples.
evidence
available
suggests
under
intense
stress
across
increasing
areas
world,
especially
from
pollution,
climate
change,
overexploitation
resources.
Ecosphere,
Journal Year:
2021,
Volume and Issue:
12(7)
Published: July 1, 2021
Abstract
Describing
variation
of
species
interaction
networks
across
space
and
time
promises
a
better
understanding
how
communities
respond
to
global
change.
To
understand
this
variation,
it
has
been
suggested
partition
network
dissimilarity
into
one
component
driven
by
turnover,
that
is,
changes
in
community
composition,
another
reflecting
rewiring,
flexibility
interactions
among
shared
species.
The
latter
makes
strong
case
for
investing
the
enormous
effort
empirically
recording
interactions,
instead
simply
building
based
on
data.
Here,
I
present
flexible
R
function
(available
package
bipartite)
calculate
its
components,
with
binary
quantitative
networks.
With
new
tool,
compare
two
published
methods
partitioning
dissimilarity,
using
conceptual
examples,
plant–pollinator
networks,
set
simulations.
This
comparison
highlights
method
received
most
attention
overestimates
importance
rewiring
total
dissimilarity.
In
contrast,
an
earlier‐proposed
is
derived
from
additive
sets
thus
accurately
represents
components.
Furthermore,
argue
term
not
well
defined
ecology
there
are
reasons
why
both
overestimate
particular
availability
unified
multiple
aspects
will
foster
critical
application
characterize
dynamics
identify
underlying
drivers.
Studies
have
be
more
careful
choice
interpretation.
Ecology,
Journal Year:
2022,
Volume and Issue:
103(8)
Published: April 7, 2022
Space
and
time
promote
variation
in
network
structure
by
affecting
the
likelihood
of
potential
interactions.
However,
little
is
known
about
relative
roles
ecological
biogeographical
processes
determining
how
species
interactions
vary
across
space
time.
Here
we
study
spatiotemporal
predator-prey
interaction
networks
formed
anurans
arthropods
test
for
effects
prey
availability
patterns,
information
that
often
absent
limits
understanding
determinants
structure.
We
found
dissimilarity
between
ecoregions
seasons
was
high
primarily
driven
rewiring.We
also
turnover
positively
related
to
geographical
distance.
Using
a
null
model
approach
disentangle
effect
on
spatial
temporal
variation,
show
differences
were
important
among
areas.
Our
reveals
fluctuations
abundance,
alongside
limited
dispersal
abilities
their
prey,
may
be
responsible
patterns
emerged
our
metaweb.
These
findings
contribute
assembly
rules
maintain
biotic
metacommunities
highlight
importance
these
systems.
Ecology Letters,
Journal Year:
2023,
Volume and Issue:
26(6), P. 831 - 842
Published: March 27, 2023
Theory
posits
that
the
persistence
of
species
in
ecological
communities
is
shaped
by
their
interactions
within
and
across
trophic
guilds.
However,
we
lack
empirical
evaluations
how
structure,
strength
sign
biotic
drive
potential
to
coexist
diverse
multi-trophic
communities.
Here,
model
community
feasibility
domains,
a
theoretically
informed
measure
multi-species
coexistence
probability,
from
grassland
comprising
more
than
45
on
average
three
guilds
(plants,
pollinators
herbivores).
Contrary
our
hypothesis,
increasing
complexity,
measured
either
as
number
or
richness,
did
not
decrease
feasibility.
Rather,
observed
high
degrees
self-regulation
niche
partitioning
allow
for
maintaining
larger
levels
higher
Our
results
show
are
random
nature
both
structures
significantly
contribute
diversity.
PLoS Biology,
Journal Year:
2023,
Volume and Issue:
21(4), P. e3002068 - e3002068
Published: April 3, 2023
Given
the
requisite
cost
associated
with
observing
species
interactions,
ecologists
often
reuse
interaction
networks
created
by
different
sets
of
researchers
to
test
their
hypotheses
regarding
how
ecological
processes
drive
network
topology.
Yet,
topological
properties
identified
across
these
may
not
be
sufficiently
attributable
alone
as
assumed.
Instead,
much
totality
differences
between
networks-topological
heterogeneity-could
due
variations
in
research
designs
and
approaches
that
use
create
each
network.
To
evaluate
degree
which
this
heterogeneity
is
present
available
networks,
we
first
compared
amount
723
quantified
from
non-ecological
known
constructed
following
more
consistent
approaches.
Then,
further
whether
was
study
designs,
only
inherent
variation
within
same
(i.e.,
publication)
were
a
unique
publication
source.
We
found
are
highly
topologically
heterogeneous:
while
similar
other
than
publication,
they
still
show
at
least
twice
any
category
tested.
Altogether,
our
findings
suggest
extra
care
necessary
effectively
analyze
researchers,
perhaps
controlling
for
source