Journal of Animal Ecology,
Journal Year:
2022,
Volume and Issue:
92(2), P. 367 - 376
Published: Sept. 5, 2022
The
relationship
between
biodiversity
and
ecosystem
functions
(BEFs)
has
attracted
great
interest.
Studies
on
BEF
have
so
far
focused
the
average
trend
of
function
as
species
diversity
increases.
A
tantalizing
but
rarely
addressed
question
is
why
large
variations
in
are
often
observed
across
systems
with
similar
diversity,
likely
obscuring
BEFs.
Here
we
use
a
multi-trophic
food
web
model
combination
empirical
data
to
examine
relationships
richness
variation
(VEFs)
including
biomass,
metabolism,
decomposition,
primary
secondary
production.
We
then
probe
mechanisms
underlying
these
relationships,
focusing
role
trophic
interactions.
While
our
results
reinforce
previously
documented
positive
found
that
exhibit
significant
within
each
level
magnitude
this
displays
hump-shaped
richness.
Our
analyses
demonstrate
VEFs
reduced
when
consumer
increases
through
elevated
nonlinearity
interactions,
and/or
basal
such
producers
decomposers
decreases.
This
explanation
supported
by
34-year
time
series
from
Gulf
Riga
ecosystem.
work
suggests
loss
may
not
only
result
decline,
also
reduce
predictability
generating
greater
variability
among
ecosystems.
It
thus
helps
reconcile
debate
generality
disentangle
drivers
stability.
interactions
their
strengths
mediated
functional
responses
shaping
warrants
further
investigations
better
incorporation
into
biodiversity-ecosystem
functioning
research.
Ecology Letters,
Journal Year:
2020,
Volume and Issue:
23(4), P. 757 - 776
Published: Jan. 29, 2020
Abstract
A
rich
body
of
knowledge
links
biodiversity
to
ecosystem
functioning
(BEF),
but
it
is
primarily
focused
on
small
scales.
We
review
the
current
theory
and
identify
six
expectations
for
scale
dependence
in
BEF
relationship:
(1)
a
nonlinear
change
slope
relationship
with
spatial
scale;
(2)
scale‐dependent
between
stability
extent;
(3)
coexistence
within
among
sites
will
result
positive
at
larger
scales;
(4)
temporal
autocorrelation
environmental
variability
affects
species
turnover
thus
(5)
connectivity
metacommunities
generates
relationships
by
affecting
population
synchrony
local
regional
(6)
scaling
food
web
structure
diversity
generate
functioning.
suggest
directions
synthesis
that
combine
approaches
metaecosystem
metacommunity
ecology
integrate
cross‐scale
feedbacks.
Tests
this
may
remote
sensing
generation
networked
experiments
assess
effects
multiple
also
show
how
anthropogenic
land
cover
alter
relationship.
New
research
role
guide
policy
linking
goals
managing
ecosystems.
Nature Communications,
Journal Year:
2018,
Volume and Issue:
9(1)
Published: July 25, 2018
Human-induced
biodiversity
change
impairs
ecosystem
functions
crucial
to
human
well-being.
However,
the
consequences
of
this
for
multifunctionality
are
poorly
understood
beyond
effects
plant
species
loss,
particularly
in
regions
with
high
across
trophic
levels.
Here
we
adopt
a
multitrophic
perspective
analyze
how
affects
biodiverse
subtropical
forests.
We
consider
22
independent
measurements
nine
central
energy
and
nutrient
flow
find
that
individual
more
strongly
affected
by
diversity
heterotrophs
promoting
decomposition
cycling,
functional-trait
composition,
than
tree
richness.
Moreover,
cascading
higher
trophic-level
on
originating
from
lower
processes
highlight
is
key
understanding
drivers
multifunctionality.
A
broader
biodiversity-multifunctionality
relationships
sustainable
management
light
non-random
loss
intensified
biotic
disturbances
under
future
environmental
change.
Global Change Biology,
Journal Year:
2020,
Volume and Issue:
26(12), P. 6867 - 6879
Published: Sept. 16, 2020
Abstract
Human‐induced
global
change
dramatically
alters
individual
aspects
of
river
biodiversity,
such
as
taxonomic,
phylogenetic
or
functional
diversity,
and
is
predicted
to
lead
losses
associated
ecosystem
functions.
Understanding
these
dependencies
are
critical
human
well‐being.
Until
now,
however,
most
studies
have
only
looked
either
at
organismal
groups
single
functions,
little
known
on
the
effect
activities
multitrophic
biodiversity
multifunctionality
in
riverine
ecosystem.
Here
we
profiled
from
bacteria
invertebrates
based
environmental
DNA
(hereafter,
‘eDNA’)
samples
across
a
major
catchment
China,
analysed
their
with
multiple
especially
linked
C/N/P‐cycling.
Firstly,
found
spatial
cross‐taxon
congruence
pattern
communities'
structure
network
Shaying
river,
which
was
related
strong
filtering
due
land
use.
Secondly,
use
explained
decline
multifaceted
but
increased
redundancy
Thirdly,
function
relationships
an
integrative
level
showed
concave‐up
(non‐saturating)
shape.
Finally,
structural
equation
modeling
suggested
that
affects
functions
through
biodiversity‐mediated
pathways,
including
loss
altered
community
interdependence
groups.
Our
study
highlights
value
complete
inclusive
assessment
for
integrated
land‐use
management
ecosystems.
Ecology Letters,
Journal Year:
2018,
Volume and Issue:
21(8), P. 1191 - 1199
Published: June 4, 2018
Understanding
how
biodiversity
(B)
affects
ecosystem
functioning
(EF)
is
essential
for
assessing
the
consequences
of
ongoing
changes.
An
increasing
number
studies,
however,
show
that
environmental
conditions
affect
shape
BEF
relationships.
Here,
we
first
use
a
game-theoretic
community
model
to
reveal
unimodal
response
slope
can
be
expected
along
stress
gradients,
but
also
ecological
mechanisms
underlying
this
may
vary
depending
on
species
interactions.
Next,
analysed
global
dataset
44
experiments
crossed
with
conditions.
Confirming
our
main
prediction,
effect
tends
greater
at
intermediate
levels
stress,
varies
among
studies
corresponding
differences
in
stress-effects
Together,
these
results
suggest
increases
from
changes
amplify
Journal of Animal Ecology,
Journal Year:
2018,
Volume and Issue:
88(2), P. 196 - 210
Published: Aug. 7, 2018
Most
ecosystem
functions
and
related
services
involve
species
interactions
across
trophic
levels,
for
example,
pollination
biological
pest
control.
Despite
this,
our
understanding
of
function
in
multitrophic
communities
is
poor,
research
has
been
limited
to
either
manipulation
small
or
statistical
descriptions
larger
ones.
Recent
advances
food
web
ecology
may
allow
us
overcome
the
trade-off
between
mechanistic
insight
ecological
realism.
Molecular
tools
now
simplify
detection
feeding
interactions,
trait-based
approaches
application
dynamic
models
real
ecosystems.
We
performed
first
test
an
allometric
model's
ability
replicate
temporally
nonaggregated
abundance
data
from
field
provide
into
predation.
aimed
reproduce
explore
drivers
population
dynamics
aphid
herbivore
Rhopalosiphum
padi
observed
ten
Swedish
barley
fields.
used
a
model,
taking
abundances
predators
alternative
prey
as
input
data,
allowing
examine
role
predation
The
inverse
problem
methods
were
simultaneous
model
fit
optimization
parameterization.
captured
>70%
variation
five
fields,
supporting
model-embodied
hypothesis
that
body
size
can
be
important
determinant
arthropod
community.
further
demonstrate
how
in-depth
analysis
disentangle
likely
function,
such
community's
trait
composition.
Analysing
variability
performance
revealed
knowledge
gaps,
source
episodic
mortality,
general
method
development
needs
that,
if
addressed,
would
increase
success
enable
stronger
inference
about
function.
results
confronting
with
viable
approach
evaluate
theory
aid
However,
realize
full
potential
models,
beyond,
parameterization
must
refined
extended
include
more
traits
than
size.
Ecology Letters,
Journal Year:
2019,
Volume and Issue:
22(4), P. 674 - 684
Published: Feb. 8, 2019
Ecosystems
respond
in
various
ways
to
disturbances.
Quantifying
ecological
stability
therefore
requires
inspecting
multiple
properties,
such
as
resistance,
recovery,
persistence
and
invariability.
Correlations
among
these
properties
can
reduce
the
dimensionality
of
stability,
simplifying
study
environmental
effects
on
ecosystems.
A
key
question
is
how
kind
disturbance
affects
correlations.
We
here
investigated
effect
three
types
(random,
species-specific,
local)
applied
at
four
intensity
levels,
population
community
level.
used
previously
parameterized
models
that
represent
five
natural
communities,
varying
species
richness
number
trophic
levels.
found
type
but
not
affected
only
The
also
varied
greatly
communities.
Therefore,
studying
cannot
be
simplified
using
a
single
metric
multi-dimensional
assessments
are
still
recommended.