bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2021,
Номер
unknown
Опубликована: Сен. 20, 2021
Abstract
Species
interactions
can
propagate
disturbances
across
space,
though
ecological
and
biogeographic
boundaries
may
limit
this
spread.
We
tested
whether
large-scale
(ecoregions
biomes)
human
disturbance
gradients
increase
dissimilarity
among
networks,
while
accounting
for
background
spatial
elevational
effects
differences
in
network
sampling.
assessed
patterns
over
a
broad
scale,
using
196
quantitative
avian
frugivory
networks
(encompassing
1,496
plant
1,003
bird
species)
distributed
67
ecoregions
11
biomes.
Dissimilarity
species
interactions,
but
not
structure,
increased
significantly
ecoregion
biome
along
gradients.
Our
findings
suggest
that
contribute
to
maintaining
the
world’s
biodiversity
of
mitigating
propagation
at
large
scales.
One-Sentence
Summary
Ecoregions
biomes
delineate
distribution
plant-frugivore
interactions.
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,
Год журнала:
2022,
Номер
25(5), С. 1225 - 1236
Опубликована: Март 14, 2022
Abstract
Despite
intensive
research
on
species
dissimilarity
patterns
across
communities
(i.e.
β‐diversity),
we
still
know
little
about
their
implications
for
variation
in
food‐web
structures.
Our
analyses
of
50
lake
and
48
forest
soil
show
that,
while
depends
environmental
spatial
gradients,
these
effects
are
only
weakly
propagated
to
the
networks.
Moreover,
our
results
that
dissimilarities
consistently
correlated,
but
much
structure
spatial,
environmental,
gradients
remains
unexplained.
Novel
assembly
models
demonstrate
importance
biotic
filtering
during
community
by
(1)
availability
resources
(2)
limiting
similarity
species’
interactions
avoid
strong
niche
overlap
thus
competitive
exclusion.
This
reveals
a
signature
processes
local
assembly,
which
constrains
variability
structural
despite
substantial
turnover
composition.
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Ноя. 14, 2022
Abstract
Species
interactions
can
propagate
disturbances
across
space
via
direct
and
indirect
effects,
potentially
connecting
species
at
a
global
scale.
However,
ecological
biogeographic
boundaries
may
mitigate
this
spread
by
demarcating
the
limits
of
networks.
We
tested
whether
large-scale
(ecoregions
biomes)
human
disturbance
gradients
increase
dissimilarity
among
plant-frugivore
networks,
while
accounting
for
background
spatial
elevational
differences
in
network
sampling.
assessed
patterns
over
broad
scale,
using
196
quantitative
avian
frugivory
networks
(encompassing
1496
plant
1004
bird
species)
distributed
67
ecoregions,
11
biomes,
6
continents.
show
that
dissimilarities
interaction
composition,
but
not
structure,
are
greater
ecoregion
biome
along
different
levels
disturbance.
Our
findings
indicate
delineate
world’s
biodiversity
likely
contribute
to
mitigating
propagation
large
scales.
Ecology Letters,
Год журнала:
2023,
Номер
26(11), С. 1951 - 1962
Опубликована: Окт. 19, 2023
Abstract
Urbanization
is
a
major
driver
of
biodiversity
change
but
how
it
interacts
with
spatial
and
temporal
gradients
to
influence
the
dynamics
plant–pollinator
networks
poorly
understood,
especially
in
tropical
urbanization
hotspots.
Here,
we
analysed
drivers
environmental,
turnover
interactions
(interaction
β
‐diversity)
along
an
gradient
Bengaluru,
South
Indian
megacity.
The
compositional
differed
more
between
seasons
local
intensity
than
distance,
suggesting
that
seasonality
environmental
filtering
were
important
dispersal
limitation
for
explaining
interaction
‐diversity.
Furthermore,
amplified
seasonal
interactions,
stronger
urban
compared
rural
sites,
driven
by
greater
native
non‐crop
plant
species
(not
managed
people).
Our
study
demonstrates
interact
shape
can
strongly
amplify
these
dynamics.
Methods in Ecology and Evolution,
Год журнала:
2023,
Номер
14(8), С. 1952 - 1966
Опубликована: Июнь 2, 2023
Abstract
Earth's
biosphere
is
undergoing
drastic
reorganization
due
to
the
sixth
mass
extinction
brought
on
by
Anthropocene.
Impacts
of
local
and
regional
extirpation
species
have
been
demonstrated
propagate
through
complex
interaction
networks
they
are
part
of,
leading
secondary
extinctions
exacerbating
biodiversity
loss.
Contemporary
ecological
theory
has
developed
several
measures
analyse
structure
robustness
under
However,
a
toolbox
for
directly
simulating
quantifying
cascades
creating
novel
interactions
(i.e.
rewiring)
remains
absent.
Here,
we
present
NetworkExtinction
—a
R
package
which
explore
propagation
sequences
quantify
effects
rewiring
potential
in
response
primary
extinctions.
With
,
integrate
computational
simulations
develop
functionality
with
users
may
visualize
networks.
The
core
functions
introduced
focus
sequential
associated
extinctions,
allowing
user‐specified
thresholds
realization
potential.
can
estimate
after
performing
routines
based
algorithms.
Moreover,
compare
number
simulated
against
null
model
random
In‐built
visualizations
enable
graphing
topological
indices
calculated
deletion
sequence
each
simulation
step.
Finally,
user
network's
degree
distribution
fitting
different
common
distributions.
illustrate
use
its
outputs
analysing
Chilean
coastal
marine
food
web.
compact
easy‐to‐use
changes
network
patterns
loss,
Therefore,
this
particularly
useful
evaluating
ecosystem
responses
anthropogenic
environmental
perturbations
that
produce
nonrandom
sometimes
targeted,
Diversity and Distributions,
Год журнала:
2024,
Номер
30(9)
Опубликована: Апрель 28, 2024
Abstract
Aim
Global
change,
especially
landscape
simplification,
is
a
main
driver
of
species
loss
that
can
alter
ecological
interaction
networks,
with
potentially
severe
consequences
to
ecosystem
functions.
Therefore,
understanding
how
simplification
affects
the
rate
plant–pollinator
diversity
(i.e.,
number
unique
interactions)
compared
alone,
and
role
persisting
abundant
pollinators,
key
assess
on
network
stability
pollination
services.
Location
France,
Germany,
Switzerland.
Methods
We
analysed
24
landscape‐scale
networks
from
standardised
transect
walks
along
gradients
in
three
countries.
rates
gradient
then
stepwise
excluded
top
1%–20%
most
pollinators
data
set
evaluate
their
effect
diversity,
robustness
secondary
species,
flower
visitation
frequencies
simplified
landscapes.
Results
Interaction
was
not
more
vulnerable
than
pollinator
showing
similar
erosion
simplification.
found
20%
both
interactions
are
lost
an
increase
arable
crop
cover
30%
80%
landscape.
The
decrease
partially
buffered
by
persistent
generalist
landscapes,
which
were
nested
subsets
communities
complex
while
plants
showed
high
turnover
across
5%
also
contributed
against
but
could
prevent
flowers
visits
Main
Conclusions
Although
landscapes
stabilised
robustness,
frequency
reduced,
emphasising
further
ongoing
land‐use
change
for
Functional Ecology,
Год журнала:
2022,
Номер
36(10), С. 2673 - 2684
Опубликована: Авг. 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.
Abstract
Pollination
is
essential
for
ecosystem
functioning,
yet
our
understanding
of
the
empirical
consequences
species
loss
plant–pollinator
interactions
remains
limited.
It
hypothesized
that
abundant
and
generalized
(well‐connected)
from
a
pollination
network
will
have
large
effect
on
remaining
their
interactions.
However,
to
date,
relatively
few
studies
experimentally
removed
natural
setting
address
this
hypothesis.
We
investigated
losing
an
abundant,
generalist
native
series
networks
by
removing
flowers
Helianthella
quinquenervis
(Asteraceae)
half
10
paired
plots
(15
m
diameter)
within
subalpine
ecosystem.
then
asked
how
localized
influenced
patterns
pollinator
visitation,
floral
visitor
composition,
interaction
structure.
The
experimental
removal
led
overall
decline
in
plot‐level
visitation
rates
shifts
composition.
Species‐level
responses
differed
between
two
other
co‐flowering
plants
experiment:
Potentilla
pulcherrima
received
higher
rates,
whereas
Erigeron
speciosus
did
not
change.
Experimental
altered
structural
properties
such
they
were
more
specialized,
less
nested,
robust
further
loss.
Such
changes
structure
consistently
driven
turnover
than
rewiring.
Our
findings
suggest
local
well‐linked,
plant
can
bring
about
diverse
intact
networks,
including
potential
competitive
facilitative
effects
individual
species,
may
render
them
sensitive
future
change,
but
also
numerous
flexibility
response
Abstract
The
architecture
of
species
interaction
networks
is
a
key
factor
determining
the
stability
ecological
communities.
However,
fact
that
network
can
change
through
time
often
overlooked
in
discussions
on
community-level
processes,
despite
its
theoretical
importance.
By
compiling
time-series
community
dataset
involving
50
spider
and
974
Hexapoda
prey
species/strains,
we
quantified
extent
to
which
predator–prey
could
shift
across
points.
We
then
developed
framework
for
finding
increase
flexibility
architecture.
Those
“network
coordinator”
are
expected
promote
persistence
species-rich
communities
by
buffering
perturbations
Although
spiders
considered
as
generalist
predators,
their
contributions
vary
greatly
among
species.
also
found
detritivorous
be
cores
rewiring,
dynamically
interlinking
below-ground
above-ground
dynamics.
further
interactions
between
those
coordinators
differed
from
highlighted
standard
network-analytical
assuming
static
topology.
Analyses
will
add
new
dimension
our
understanding
coexistence
mechanisms
provide
platforms
systematically
prioritizing
terms
potential
ecosystem
conservation
restoration.
Journal of Animal Ecology,
Год журнала:
2024,
Номер
93(8), С. 974 - 988
Опубликована: Июнь 30, 2024
Nutrients
can
shape
ecological
interactions
but
remain
poorly
integrated
into
networks.
Concepts
such
as
nutrient-specific
foraging
nevertheless
have
the
potential
to
expose
mechanisms
structuring
complex
systems.
also
present
an
opportunity
predict
dynamic
processes,
interaction
rewiring
and
extinction
cascades,
increase
accuracy
of
network
analyses.
Here,
we
propose
concept
nutritional
By
integrating
data
networks,
envisage
significant
advances
our
understanding
processes
from
individual
ecosystem
scales.
We
show
that
networks
be
constructed
with
illuminate
how
nutrients
structure
in
natural
systems
through
empirical
example.
Throughout,
identify
fundamental
hypotheses
explored
a
context,
alongside
methods
for
resolving
those
influence
complexity
mechanistic
concepts
including
niche
differentiation,
functional
responses,
landscape
diversity,
invasions
robustness.
Future
research
on
should
consider
when
investigating
drivers
function.