Limnology and Oceanography,
Год журнала:
2021,
Номер
67(S1)
Опубликована: Янв. 20, 2021
Abstract
Community
ecology
has
had
a
strong
focus
on
single
snapshots
of
species
compositional
variation
in
time.
However,
environmental
change
often
occurs
slowly
at
relatively
broad
spatio‐temporal
scales,
which
requires
historically
explicit
assessments
long‐term
metacommunity
dynamics,
such
as
the
order
arrival
during
community
assembly
(i.e.,
priority
effects),
theme
that
merits
further
empirical
quantification.
In
this
study,
we
applied
Bayesian
inference
scheme
Hierarchical
Modeling
Species
Communities
together
with
information
functional
traits
and
evolutionary
dependencies
to
efficiently
explore
question
how
ecological
communities
are
organized
space
To
do
this,
used
comprehensive
time‐series
dataset
from
boreal
lake
plants
adopted
perspective
more
sound
conclusions
dynamics
can
be
gained
studies
consider
integrative
approach
over
long
timeframes.
Our
findings
revealed
historical
contingency
via
effects
profoundly
shape
under
influence
across
decades
(here,
1940s
2010s).
Similarly,
our
results
supported
existence
both
positive
negative
species‐to‐species
associations
plants,
suggesting
divergence
switch
inhibition–facilitation
balance
level.
Perhaps
importantly,
proof‐of‐concept
study
supports
notion
should
include
suggests
ignoring
may
risk
ability
identify
true
magnitude
present‐day
biotic
communities.
Frontiers in Ecology and Evolution,
Год журнала:
2020,
Номер
8
Опубликована: Окт. 22, 2020
The
development
of
metacommunity
theory
has
been
followed
by
empirical
tests
using
field
data,
mostly
focused
on
the
role
spatial
and
environmental
gradients
structures.
These
studies
showed
an
important
dependence
results
observational
scale
considered
(i.e.
grain,
sampling
spacing
extent).
However,
few
works
deal
with
time
per
se
as
a
component
explaining
these
structures,
even
when
data
from
periodic
are
available.
We
suggest
adding
explicitly
in
analysis,
but
taking
into
account
that
temporal
used
could
affect
outcome
estimated
influence
environment,
space
time,
previously
seen
for
variation.
Here,
we
analyze
both
simulated
metacommunities
aquatic
invertebrates.
relative
importance
was
primarily
dependent
strength
processes
spatially-variable
selection
or
dispersal
limitation)
at
all
scales
considered,
because
strong
effects
temporally
desynchronized
metacommunities.
expanding
study
duration
increased
relevance,
whereas
increasing
lag
reduced
it.
Our
reveal
major
analysis
dynamics
emphasizes
perspective
metacommunities,
suggesting
novel
interesting
avenues
this
framework.
Insect Conservation and Diversity,
Год журнала:
2023,
Номер
16(2), С. 266 - 284
Опубликована: Янв. 4, 2023
Abstract
The
exploration
of
biodiversity
has
predominantly
been
based
on
taxonomic
measures,
whereas
functional
diversity,
a
key
component
biodiversity,
is
comparatively
understudied.
Therefore,
studies
simultaneously
investigating
patterns
and
diversity
change
in
biological
communities
are
increasing
interest.
We
collated
high‐resolution
macroinvertebrate
environmental
data
from
70
boreal
headwater
stream
sites
across
three
European
countries
(Germany,
Finland,
Sweden)
to
(1)
investigate
seasonal
variation
redundancy,
(2)
identify
their
potential
drivers
spatial
variation.
Seasonal
changes
were
decoupled
diversity.
shifts
conditions,
including
acidity
nutrient
variability,
drove
fluctuations
which
far
more
pronounced
than
those
conditions
the
quantity,
quality,
state
organic
carbon
(dissolved
vs
particulate)
facilitate
an
exchange
taxa,
leading
taxonomically
unique
that
exploit
pool
available
resources.
Thus,
similar
levels
seasons—even
as
changes—suggest
limited
differences
interspecific
community
function,
potentially
indicating
resistance
rooted
redundancy.
highlight
discrepancies
freshwater
communities,
emphasising
need
for
both
be
assessed
future
monitoring
programmes.
Limnology and Oceanography,
Год журнала:
2021,
Номер
67(S1)
Опубликована: Янв. 20, 2021
Abstract
Community
ecology
has
had
a
strong
focus
on
single
snapshots
of
species
compositional
variation
in
time.
However,
environmental
change
often
occurs
slowly
at
relatively
broad
spatio‐temporal
scales,
which
requires
historically
explicit
assessments
long‐term
metacommunity
dynamics,
such
as
the
order
arrival
during
community
assembly
(i.e.,
priority
effects),
theme
that
merits
further
empirical
quantification.
In
this
study,
we
applied
Bayesian
inference
scheme
Hierarchical
Modeling
Species
Communities
together
with
information
functional
traits
and
evolutionary
dependencies
to
efficiently
explore
question
how
ecological
communities
are
organized
space
To
do
this,
used
comprehensive
time‐series
dataset
from
boreal
lake
plants
adopted
perspective
more
sound
conclusions
dynamics
can
be
gained
studies
consider
integrative
approach
over
long
timeframes.
Our
findings
revealed
historical
contingency
via
effects
profoundly
shape
under
influence
across
decades
(here,
1940s
2010s).
Similarly,
our
results
supported
existence
both
positive
negative
species‐to‐species
associations
plants,
suggesting
divergence
switch
inhibition–facilitation
balance
level.
Perhaps
importantly,
proof‐of‐concept
study
supports
notion
should
include
suggests
ignoring
may
risk
ability
identify
true
magnitude
present‐day
biotic
communities.