Basic and Applied Ecology,
Journal Year:
2024,
Volume and Issue:
79, P. 153 - 166
Published: July 20, 2024
Long-term
research
in
grassland
biodiversity
experiments
has
provided
empirical
evidence
that
ecological
and
evolutionary
processes
are
intertwined
determining
both
biodiversity–ecosystem
functioning
(BEF)
biodiversity–stability
relationships.
Focusing
on
plant
diversity,
we
hypothesize
multifunctional
stability
is
highest
high-diversity
communities
relationships
increase
over
time
due
to
a
variety
of
forms
complementarity
including
the
interaction
with
other
biota
above
below
ground.
We
introduce
multiple-mechanisms
hypothesis
suggesting
it
not
an
individual
mechanism
drives
long-term
effects
ecosystem
but
several
produce
increasingly
positive
effects.
The
following
six
mechanisms
important.
Low-diversity
accumulate
more
antagonists
(1),
use
resources
less
efficiently
have
open,
leaky
nutrient
cycles
(2).
Conversely,
support
greater
diversity
activity
beneficial
partners
across
trophic
levels
(3);
diversify
their
traits
space,
within
species,
optimize
temporal
(intra-
interannual)
spatial
(4),
create
stable
microclimate
(5),
foster
higher
top-down
control
aboveground
belowground
herbivores
by
predators
(6).
In
line
observation
different
species
play
unique
roles
ecosystems
dynamic
multifaceted,
particular
contributing
most
performance
diverse
might
differ
functions,
years,
locations,
environmental
change
scenarios.
This
indicates
"between-context
insurance"
or
"across-context
complementarity"
mechanisms.
examples
will
be
conducted
test
our
hypotheses
which
inspire
additional
work.
Journal of Ecology,
Journal Year:
2021,
Volume and Issue:
109(9), P. 3114 - 3132
Published: March 20, 2021
Abstract
Characterizing
how
ecosystems
are
responding
to
rapid
environmental
change
has
become
a
major
focus
of
ecological
research.
The
empirical
study
stability,
which
aims
quantify
these
ecosystem
responses,
is
therefore
more
relevant
than
ever.
Based
on
historical
review
and
bibliometric
mapping
the
field
we
show
that
two
main
schools
relating
stability—one
focusing
systems
close
their
equilibrium
other
non‐equilibrium
behaviour—have
developed
in
parallel
leading
divergence
both
concepts
definitions.
We
synthesize
expand
previous
frameworks
capitalize
latest
developments
build
towards
an
integrated
framework
by
elaborating
overarching
concept
stability
its
properties.
Finally,
broad
applicability
our
work
demonstrated
cases.
Synthesis
.
With
rapidly
changing
conditions,
Still,
remains
source
confusion
disagreement
among
ecologists.
conceptual
presented
here
provides
basis
integrate
currently
diverging
views
stability.
Environmental Research Letters,
Journal Year:
2022,
Volume and Issue:
17(4), P. 043003 - 043003
Published: Feb. 22, 2022
Abstract
The
question
of
what
and
how
to
measure
ecological
resilience
has
been
troubling
ecologists
since
Holling
1973s
seminal
paper
in
which
he
defined
as
the
ability
a
system
withstand
perturbations
without
shifting
different
state.
This
definition
moved
focus
from
studying
local
stability
single
attractor
always
converges,
idea
that
may
converge
states
when
perturbed.
These
two
concepts
have
later
on
led
definitions
engineering
(local
stability)
vs
(non-local
metrics.
While
is
associated
clear
metrics,
measuring
remained
elusive.
As
result,
notions
studied
largely
independently
one
another
although
several
attempts
devoted
mapping
them
together
some
kind
coherent
framework,
extent
they
overlap
or
complement
each
other
quantifying
not
yet
fully
understood.
In
this
perspective,
we
metrics
quantify
following
Holling’s
based
concept
landscape.
We
explore
relationships
between
derived
bistable
systems
show
that,
for
low
dimensional
models,
correlation
can
be
high.
also
review
current
approaches
models
data,
outline
challenges
which,
if
answered,
could
help
us
make
progress
toward
more
reliable
quantification
practice.
Trends in Ecology & Evolution,
Journal Year:
2020,
Volume and Issue:
35(9), P. 776 - 786
Published: May 7, 2020
The
global
biodiversity
crisis
demands
a
broad
understanding
of
the
ability
species
to
respond
external
disturbances
caused
by
change.A
common
framework
quantify,
compare,
contrast,
and
predict
resilience
change
is
urgently
needed.Resilience
includes
resistance
populations
after
disturbance
their
recovery
from
it.Measurements
short-term
population
growth
following
disturbances,
any
its
longer-term
consequences,
allow
quantification
demographic
resilience.Quantifying
with
semantic
numeric
definitions
enables
comparisons
across
species,
enabling
us
responses
disturbances.
In
current
crisis,
development
tools
define,
essential
for
change.
However,
disparate
interpretations
have
hampered
currency
quantify
compare
natural
systems.
Most
frameworks
focus
on
upper
levels
biological
organization,
especially
ecosystems
or
communities,
which
complicates
measurements
using
empirical
data.
Surprisingly,
there
no
quantifiable
definition
at
level.
We
introduce
that
draws
existing
concepts
community
ecology,
as
well
an
accompanying
set
metrics
are
comparable
species.
Contemporary
increasingly
eroding
resources
[1.Pecl
G.T.
et
al.Biodiversity
redistribution
under
climate
change:
Impacts
human
well-being.Science.
2017;
355eaai9214Crossref
PubMed
Scopus
(999)
Google
Scholar,
2.Scheffers
B.R.
al.The
footprint
genes
biomes
people.Science.
2016;
354aaf7671Crossref
(445)
3.Vitousek
P.M.
al.Human
domination
Earth's
ecosystems.Science.
1997;
277:
494-499Crossref
(6221)
Scholar].
Thus,
how
ecological
systems
withstand
environmental
(see
Glossary)
major
challenge
[4.Hughes
T.P.
al.New
paradigms
supporting
marine
ecosystems.Trends
Ecol.
Evol.
2005;
20:
380-386Abstract
Full
Text
PDF
(678)
5.Parmesan
C.
al.Overstretching
attribution.Nat.
Clim.
Chang.
2011;
1:
2-4Crossref
(105)
6.Parmesan
Ecological
evolutionary
recent
change.Annu.
Rev.
Syst.
2006;
37:
637-669Crossref
(5337)
'Resilience'
key
concept
describes
handle
[7.Holling
C.S.
Resilience
stability
systems.Annu.
1973;
4:
1-23Crossref
Indeed,
international
policy
objectives,
including
UN
Sustainable
Development
Goals
[8.United
Nations
Transforming
Our
World:
2030
Agenda
(A/RES/70/1).
UN,
2015Google
Scholar]
Aichi
Targets
[9.Convention
Biological
Diversity
Decision
X/2,
Strategic
Plan
Biodiversity
2011–2020
Targets,
Secretariat
Convention
Diversity.2010Google
Scholar],
specifically
include
preserving
objective.
system
resist
recover
[10.Hodgson
D.
al.What
do
you
mean,
'resilient'?.Trends
2015;
30:
503-506Abstract
(207)
translating
into
challenging
due
complexities
[11.Donohue
I.
al.On
dimensionality
stability.Ecol.
Lett.
2013;
16:
421-429Crossref
(189)
has
generated
multiple
debates
over
past
decades
regarding
definition,
meaning,
application
Scholar,12.Allen
C.R.
al.Resilience
reconciled.Nat.
Sustain.
2019;
2:
898-900Crossref
(18)
Scholar,13.Pimm
S.L.
al.Measuring
understand
it.Nat.
895-897Crossref
(27)
(Box
1).
Discrepancies
between
approaches
mean
both
theoretical
works
lack
parity
primary
components
studied,
rendering
if
not
impossible.
These
limitations
ultimately
prevent
ecologists
applying
resilience-based
solutions
real-world
problems
(e.g.,
[14.Donohue
al.Navigating
complexity
19:
1172-1185Crossref
(206)
Scholar]).
Developing
unifying
quantifications
different
therefore
urgent
task
Scholar,15.Ingrisch
J.
Bahn
M.
Towards
resilience.Trends
2018;
33:
251-259Abstract
(122)
Scholar,16.Pimm
ecosystems.Nature.
1984;
307:
321Crossref
(1595)
Scholar].Box
1Defining
ResilienceSince
first
appearance
in
literature
late
1970s,
study
attracted
significant
attention
(Figure
I).
rate
research
increased
matches
diversity
resilience.
term
was
introduced
ecology
Holling
who
defined
it
'a
measure
persistence
absorb
still
maintain
same
relationships
state
variables'.
Holling's
interpreted
ways
subdisciplines
[60.Quinlan
A.E.
assessing
resilience:
broadening
through
disciplinary
perspectives.J.
Appl.
53:
677-687Crossref
(202)
For
example,
some
considered
be
speed
system,
quantified
time
required
return
equilibrium
[16.Pimm
By
others
measured
probability
remain
stable
[61.Mumby
P.J.
al.Thresholds
Caribbean
coral
reefs.Nature.
2007;
450:
98Crossref
(573)
Consequently,
later
[62.Holling
Engineering
versus
resilience.Eng.
Constraints.
1996;
31:
32Google
distinguished
two
types
engineering
He
'resistance
equilibrium'
shock.
described
'magnitude
can
absorbed
before
changes
structure'
Scholar,62.Holling
Scholar].To
frame
resilience,
we
draw
ideas
terminology
community/ecosystem
Scholar,11.Donohue
Scholar,22.Hillebrand
H.
al.Decomposing
dimensions
experiments.Ecol.
21:
21-30Crossref
(76)
define
Hodgson
al.
'the
capacity
persist
functions
face
exogenous
disturbance'.
Similar
literature,
several
authors
consider
function
Scholar,63.Oliver
T.H.
ecosystem
functions.Trends
673-684Abstract
(508)
64.Darling
E.S.
Côté
I.M.
Seeking
359:
986-987Crossref
(38)
65.Willis
K.J.
makes
terrestrial
resilient?.Science.
988-989Crossref
(40)
Such
bivariate
incorporate
resistance,
representing
magnitude
variable,
recovery,
component
trajectory
(recovery
rate)
ends.
Populations
structures
'states'
displaced
then
disturbance.
characteristics
align
general
frameworks,
perspective.
Since
To
integrates
Scholar,17.Scheffer
al.Early-warning
signals
critical
transitions.Nature.
2009;
461:
53-59Crossref
(2181)
Scholar,18.Dakos
V.
indicators:
prospects
early
warnings
regime
shifts.Philos.
Trans.
R.
Soc.
B
Biol.
Sci.
2014;
370:
20130263Crossref
(215)
theory
[19.Caswell
Matrix
Population
Models:
Construction,
Analysis,
Interpretation.2nd
edn.
Sinauer
Associates,
2001Google
Following
conceptualizations
1)
alterations
structure,
usually
concomitant
size.
show
transient
dynamics,
extensively
[20.Neubert
M.G.
Caswell
Alternatives
measuring
perturbations.Ecology.
78:
653-665Crossref
(253)
Scholar,21.Stott
al.A
studying
dynamics
projection
matrix
models.Ecol.
14:
959-970Crossref
(80)
used
anticipate
our
marries
disciplines
elements
analogous
Established
theories
assume
exist
alternative
states
where
forces
influencing
balance
[6.Parmesan
Scholar,20.Neubert
21.Stott
22.Hillebrand
When
displaces
unstable
state,
these
back
1A
).
beyond
domain
attraction,
tipping
point,
may
transition
[17.Scheffer
This
new
characterized
substantially
maintained
hysteresis
processes
feedbacks
Scholar,23.Folke
al.Regime
shifts,
management.Annu.
2004;
35:
557-581Crossref
(2227)
similar
properties
those
classical
views
Similarly
structured
Like
distinct
contribute
differently
[24.Levin
S.A.
Paine
R.T.
Disturbance,
patch
formation,
structure.Proc.
Natl.
Acad.
1974;
71:
2744-2747Crossref
(544)
individuals
ages,
sizes,
developmental
stages
constant
environment,
will
attain
structure
Therefore,
views,
growth.
Disturbances
size
population,
displacing
fire
affects
younger
rather
than
older
tree
[25.Enright
N.J.
al.Interval
squeeze:
altered
regimes
interact
threaten
woody
changes.Front.
Environ.
13:
265-272Crossref
(208)
akin
composition
biomass.
result
differ
stability,
leading
either
faster
slower
(amplification
attenuation
respectively
[21.Stott
depend
relative
over-
under-representation
high
survival
and/or
reproduction.
largest
extents
amplification
represent
bounds,
classic
As
under-represented
repopulated,
drawn
towards
Transient
thus
ideal
estimate
intrinsic
panel
overcoming
criticism
many
operationalization
Scholar,14.Donohue
Structured
models
facilitate
explicit
simulations
impact
life-cycle
[26.Stearns
S.C.
Evolution
Life
Histories.
Oxford
University
Press,
1992Google
enable
calculation
consequent
Bivariate
Scholar,27.Nimmo
D.G.
al.Vive
la
résistance:
reviving
21st
century
conservation.Trends
516-523Abstract
(115)
decompose
components,
1
Box
distinguish
processes,
compensation
2;
details
below).
addition,
provide
distinction
particular
2).
Demographic
incorporates
amplifications
2
Figure
2),
compensate
post-disturbance
reductions
advocate
use
reactivity,
maximal
amplification,
inertia
various
times
disturbance,
Reactivity
quantifies
immediate,
response
disturbance;
highest
density
reach
time-step,
measures
total
displacement
long-term,
period.
Reactivity,
therefore,
immediate
whereas
overall
compensate,
far
away
ends
up
2).Box
2Transient
CalculationsIn
Table
I
present
compendium
equations
aforementioned
most
structural
demography
–
estimation
done
integral
[66.Ellner
S.P.
Rees
Integral
complex
demography.Am.
Nat.
167:
410-428Crossref
(359)
Scholar])
other
estimating
absolute
size,
combine
rat
Ecology Letters,
Journal Year:
2020,
Volume and Issue:
23(3), P. 575 - 585
Published: Jan. 14, 2020
Most
ecosystems
are
affected
by
anthropogenic
or
natural
pulse
disturbances,
which
alter
the
community
composition
and
functioning
for
a
limited
period
of
time.
Whether
how
quickly
communities
recover
from
such
pulses
is
central
to
our
understanding
biodiversity
dynamics
ecosystem
organisation,
but
also
nature
conservation
management.
Here,
we
present
meta-analysis
508
(semi-)natural
field
experiments
globally
distributed
across
marine,
terrestrial
freshwater
ecosystems.
We
found
recovery
be
significant
yet
incomplete.
At
end
experiments,
disturbed
treatments
resembled
controls
again
when
considering
abundance
(94%),
biomass
(82%),
univariate
diversity
measures
(88%).
did
not
further
depart
control
after
pulse,
indicating
that
few
studies
showed
novel
trajectories
induced
pulse.
Only
multivariate
on
average
little
recovery:
species
remained
dissimilar
throughout
most
experiments.
Still,
revealed
higher
compositional
stability,
they
tended
show
functional
stability.
Recovery
was
more
complete
systems
had
high
resistance,
whereas
resilience
resistance
were
negatively
correlated.
The
overall
results
highly
consistent
studies,
differences
between
organism
groups
appeared.
Future
research
disturbances
should
aim
understand
these
differences,
fill
obvious
gaps
in
empirical
assessments
regions
(especially
tropics),
organisms.
In
summary,
provide
general
evidence
can
aspects
vulnerable
long-lasting
effects
disturbance
than
emergent
functions
associated
them.
Proceedings of the National Academy of Sciences,
Journal Year:
2019,
Volume and Issue:
116(51), P. 25714 - 25720
Published: Dec. 2, 2019
Understanding
the
stability
of
ecological
communities
is
a
matter
increasing
importance
in
context
global
environmental
change.
Yet
it
has
proved
to
be
challenging
task.
Different
metrics
are
used
assess
systems,
and
choice
one
metric
over
another
may
result
conflicting
conclusions.
Although
each
multitude
useful
for
answering
specific
question
about
stability,
relationship
among
poorly
understood.
Such
lack
understanding
prevents
scientists
from
developing
unified
concept
stability.
Instead,
by
investigating
these
relationships
we
can
unveil
how
many
dimensions
there
(i.e.,
independent
components
grouped),
which
should
help
build
more
comprehensive
Here
simultaneously
measured
27
frequently
studies.
Our
approach
based
on
dynamical
simulations
multispecies
trophic
under
different
perturbation
scenarios.
Mapping
between
revealed
that
they
lumped
into
3
main
groups
relatively
components:
early
response
pulse,
sensitivities
press,
distance
threshold.
Selecting
allows
accurate
quantification
overall
communities.
These
results
contribute
improving
our
assessment
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2021,
Volume and Issue:
376(1837), P. 20210063 - 20210063
Published: Sept. 20, 2021
Networks
of
species
interactions
underpin
numerous
ecosystem
processes,
but
comprehensively
sampling
these
is
difficult.
Interactions
intrinsically
vary
across
space
and
time,
given
the
number
that
compose
ecological
communities,
it
can
be
tough
to
distinguish
between
a
true
negative
(where
two
never
interact)
from
false
have
not
been
observed
interacting
even
though
they
actually
do).
Assessing
likelihood
an
imperative
for
several
fields
ecology.
This
means
predict
species-and
describe
structure,
variation,
change
networks
form-we
need
rely
on
modelling
tools.
Here,
we
provide
proof-of-concept,
where
show
how
simple
neural
network
model
makes
accurate
predictions
about
limited
data.
We
then
assess
challenges
opportunities
associated
with
improving
interaction
predictions,
conceptual
roadmap
forward
towards
predictive
models
explicitly
spatial
temporal.
conclude
brief
primer
relevant
methods
tools
needed
start
building
models,
which
hope
will
guide
this
research
programme
forward.
article
part
theme
issue
'Infectious
disease
macroecology:
parasite
diversity
dynamics
globe'.
Mineral Economics,
Journal Year:
2022,
Volume and Issue:
35(3-4), P. 673 - 699
Published: Aug. 24, 2022
Abstract
The
electrification
transition
will
intensify
the
demand
for
lithium.
endowment
in
Lithium
Triangle
is
significant,
and
expectations
global
supply
are
high
terms
of
resources
sustainability.
In
this
paper,
we
investigate
impact
environmental,
social
governance
(ESG)
challenges
to
future
sustainable
lithium
extraction.
We
undertook
a
qualitative
analysis
prioritise
risks
associated
with
these
discussed
their
interlinkages.
argue
that
perspective
extraction
region
requires
continuous
informed
dialogue
among
government,
industry
community
stakeholders
participatory
processes
reduce
asymmetries
power
knowledge.
provide
list
urgent
mitigation
actions
could
assist
move
towards
These
include
following.
First
expanding
our
understandings
water
cycle
brines
region.
This
should
be
underpinned
by
baseline
data
ongoing
monitoring
at
watershed
scale,
capacity
building
strengthen
institutions,
improved
regulations
infrastructures
promote
transparency
accessibility.
Second
integrating
biodiversity
impacts
within
existing
mining
practices
procedures
(e.g.
Environmental
Impact
Assessments
—
EIA).
propose
strategic
implementation
hierarchy
IFC’s
Performance
Standards
avoid,
offset
on
ecosystem
services
critically
important
impacts.
Third
strengthening
enable
local
communities
become
actors
decision-making
management
projects.
Fourth
establishing
framework
support
Strategic
Social
Assessment
(SESA)
process
specific
regional
approach
Triangle.
Ecology Letters,
Journal Year:
2022,
Volume and Issue:
25(12), P. 2713 - 2725
Published: Oct. 28, 2022
Abstract
Anthropogenic
nutrient
enrichment
is
known
to
alter
the
composition
and
functioning
of
plant
communities.
However,
how
influences
multiple
dimensions
community‐
ecosystem‐level
stability
remains
poorly
understood.
Using
data
from
a
nitrogen
(N)
phosphorus
(P)
addition
experiment
in
temperate
semi‐arid
grassland
that
experienced
natural
drought,
we
show
N
enrichment,
not
P
decreased
functional
compositional
temporal
stability,
resistance
recovery
but
increased
resilience.
Compositional
species
asynchrony,
rather
than
diversity,
were
identified
as
key
determinants
all
except
for
recovery.
Whereas
was
decoupled
recovery,
altered
other
primarily
through
changing
their
corresponding
dimensions.
Our
findings
highlight
need
examine
ecological
at
community
level
more
mechanistic
understanding
ecosystem
dynamics
face
environmental
change.