Ecological Indicators,
Journal Year:
2021,
Volume and Issue:
129, P. 107952 - 107952
Published: July 7, 2021
Recent
developments
in
environmental
DNA
(eDNA)
metabarcoding
suggest
that
eDNA-based
representation
of
ecological
communities
can
be
a
promising
tool
both
fundamental
research
and
assessment.
However,
it
is
less
known,
how
eDNA
performs
characterising
community-environment
relationships
at
the
regional
scale
compared
with
traditional
sampling
methods.
Here,
we
used
electrofishing
(EF),
gillnetting
(GN)
surveys
to
compare
their
congruency
taxonomic
trait-based
structure
(oxbow)
lake
fish
structuring
mechanisms.
proved
more
effective
detecting
taxa
total
samples
by
traits
than
EF
GN.
Principal
coordinate
analysis
multiple
factor
showed
moderate
separation
according
methods
for
taxon
structures,
respectively,
but
were
always
located
intermediate
position
ordination
plots.
Procrustes
analyses
indicated
significant
among-method
community
structure.
general,
patterns
higher
correlation
either
or
GN-based
patterns,
two
each
other.
Variance
partitioning
redundancy
large
differences
among
importance
spatial
variables
shaping
metacommunity
These
results
thus
method
largely
influence
identified
mechanisms
which
govern
organisation.
Our
suggest,
best
universal
understanding
organisation
metacommunities.
Global Change Biology,
Journal Year:
2019,
Volume and Issue:
26(1), P. 119 - 188
Published: Dec. 31, 2019
Abstract
Plant
traits—the
morphological,
anatomical,
physiological,
biochemical
and
phenological
characteristics
of
plants—determine
how
plants
respond
to
environmental
factors,
affect
other
trophic
levels,
influence
ecosystem
properties
their
benefits
detriments
people.
trait
data
thus
represent
the
basis
for
a
vast
area
research
spanning
from
evolutionary
biology,
community
functional
ecology,
biodiversity
conservation,
landscape
management,
restoration,
biogeography
earth
system
modelling.
Since
its
foundation
in
2007,
TRY
database
plant
traits
has
grown
continuously.
It
now
provides
unprecedented
coverage
under
an
open
access
policy
is
main
used
by
worldwide.
Increasingly,
also
supports
new
frontiers
trait‐based
research,
including
identification
gaps
subsequent
mobilization
or
measurement
data.
To
support
this
development,
article
we
evaluate
extent
compiled
analyse
emerging
patterns
representativeness.
Best
species
achieved
categorical
traits—almost
complete
‘plant
growth
form’.
However,
most
relevant
ecology
vegetation
modelling
are
characterized
continuous
intraspecific
variation
trait–environmental
relationships.
These
have
be
measured
on
individual
respective
environment.
Despite
coverage,
observe
humbling
lack
completeness
representativeness
these
many
aspects.
We,
therefore,
conclude
that
reducing
biases
remains
key
challenge
requires
coordinated
approach
measurements.
This
can
only
collaboration
with
initiatives.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2018,
Volume and Issue:
94(3), P. 999 - 1022
Published: Dec. 13, 2018
In
focusing
on
how
organisms'
generalizable
functional
properties
(traits)
interact
mechanistically
with
environments
across
spatial
scales
and
levels
of
biological
organization,
trait-based
approaches
provide
a
powerful
framework
for
attaining
synthesis,
generality
prediction.
Trait-based
research
has
considerably
improved
understanding
the
assembly,
structure
functioning
plant
communities.
Further
advances
in
ecology
may
be
achieved
by
exploring
trait-environment
relationships
non-sessile,
heterotrophic
organisms
such
as
terrestrial
arthropods,
which
are
geographically
ubiquitous,
ecologically
diverse,
often
important
components
ecosystems.
studies
trait
databases
have
recently
been
compiled
groups
ants,
bees,
beetles,
butterflies,
spiders
many
others;
however,
explicit
justification,
conceptual
framework,
primary-evidence
base
burgeoning
field
'terrestrial
arthropod
ecology'
not
well
established.
Consequently,
there
is
some
confusion
over
scope
relevance
this
field,
tendency
to
overlook
assumptions
approach.
Here
we
aim
broad
accessible
overview
arthropods.
We
first
define
illustrate
foundational
concepts
respect
justify
application
study
their
ecology.
Next,
review
community
where
used
elucidate
assembly
processes
communities
influenced
niche
filtering
along
environmental
gradients
(e.g.
climatic,
structural,
land-use
gradients)
abiotic
biotic
disturbances
fire,
floods,
invasions).
also
ecosystem
investigate
biodiversity-ecosystem
function
relationships:
diversity
relates
host
functions
services
that
they
mediate,
decomposition,
pollination
predation.
then
suggest
future
work
can
address
fundamental
limitations
investigating
functionality
effects
intraspecific
variation,
assessing
potential
sampling
methods
bias
traits
values
observed,
enhancing
quality
consolidation
information
databases.
A
roadmap
guide
observational
presented.
Lastly,
highlight
new
areas
arthropods
positioned
advance
ecological
application.
These
include
examining
roles
competitive,
non-competitive
(multi-)trophic
interactions
shaping
coexistence,
macro-scaling
explain
predict
patterns
biodiversity
space
time.
hope
will
spur
applications
insights
from
most
diverse
eukaryotic
Earth.
Ecology Letters,
Journal Year:
2021,
Volume and Issue:
24(9), P. 1988 - 2009
Published: May 20, 2021
Abstract
Trait‐based
ecology
aims
to
understand
the
processes
that
generate
overarching
diversity
of
organismal
traits
and
their
influence
on
ecosystem
functioning.
Achieving
this
goal
requires
simplifying
complexity
in
synthetic
axes
defining
a
trait
space
cluster
species
based
while
identifying
those
with
unique
combinations
traits.
However,
so
far,
we
know
little
about
dimensionality,
robustness
omission
structure
these
spaces.
Here,
propose
unified
framework
synthesis
across
30
datasets
representing
broad
variety
taxa,
ecosystems
spatial
scales
show
common
trade‐off
between
quality
operationality
appears
three
six
dimensions.
The
is
generally
low
but
highly
variable
among
datasets.
We
also
highlight
invariant
scaling
relationships,
whatever
complexity,
number
clusters,
dominant
total
richness.
When
richness
increases,
saturates,
whereas
tend
disproportionately
pack
richest
cluster.
Based
results,
some
rules
thumb
build
spaces
estimate
subsequent
functional
indices.
Frontiers in Microbiology,
Journal Year:
2021,
Volume and Issue:
12
Published: April 15, 2021
Intensive
agriculture
has
major
negative
impacts
on
ecosystem
diversity
and
functioning,
including
that
of
soils.
The
associated
reduction
soil
biodiversity
essential
functions,
such
as
nutrient
cycling,
can
restrict
plant
growth
crop
yield.
By
increasing
in
agricultural
systems,
intercropping
could
be
a
promising
way
to
foster
microbial
functioning.
However,
plant–microbe
interactions
the
extent
which
they
influence
yield
under
field
conditions
are
still
poorly
understood.
In
this
study,
we
performed
an
extensive
experiment
using
eight
species
40
different
mixtures
investigate
how
affects
activity,
whether
these
changes
subsequently
affect
Experiments
were
carried
out
mesocosms
natural
Switzerland
Spain,
two
countries
with
drastically
soils
climate,
our
communities
included
either
one,
or
four
species.
We
sampled
sequenced
DNA
assess
diversity,
measured
basal
respiration
proxy
for
activity.
Results
indicate
Switzerland,
led
shifts
community
composition,
particular
increase
several
plant-growth
promoting
microbes,
members
bacterial
phylum
Actinobacteria
.
These
composition
15
35%
2
4-species
mixtures,
respectively.
This
suggests
positive
effects
productivity
partially
explained
by
composition.
microbes
relatively
small
compared
abiotic
factors
fertilization
(three
times
larger)
moisture
larger).
Furthermore,
processes
context-dependent:
where
resources
limited,
did
not
respond
their
effect
was
less
strong.
research
highlights
potential
beneficial
role
while
also
reflecting
relative
importance
drivers
microbiomes
emphasizing
context-dependence
crop–microbe
relationships.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Feb. 10, 2024
Abstract
Organismal
functional
strategies
form
a
continuum
from
slow-
to
fast-growing
organisms,
in
response
common
drivers
such
as
resource
availability
and
disturbance.
However,
whether
there
is
synchronisation
of
these
at
the
entire
community
level
unclear.
Here,
we
combine
trait
data
for
>2800
above-
belowground
taxa
14
trophic
guilds
spanning
disturbance
gradient
German
grasslands.
The
results
indicate
that
most
consistently
respond
through
both
direct
trophically
mediated
effects,
resulting
‘slow-fast’
axis
community.
Using
15
indicators
carbon
nutrient
fluxes,
biomass
production
decomposition,
also
show
fast
communities
are
associated
with
faster
rates
ecosystem
functioning.
These
findings
demonstrate
‘slow’
‘fast’
can
be
manifested
whole
communities,
opening
new
avenues
ecosystem-level
classification.