New Phytologist,
Год журнала:
2017,
Номер
216(4), С. 1130 - 1139
Опубликована: Сен. 12, 2017
Root
traits
are
often
thought
to
be
analogues
of
leaf
along
the
plant
economics
spectrum.
But
evolutionary
pressures
have
most
likely
shaped
above-
and
belowground
patterns
differentially.
Here,
we
aimed
identify
important
aboveground
for
explaining
root
without
an
a
priori
focus
on
known
concepts.
We
measured
morphological
in
glasshouse
experiment
141
common
Central
European
grassland
species.
Using
random
forest
algorithms,
built
predictive
models
six
from
97
morphological,
ecological
life
history
traits.
tissue
density
was
best
predicted
by
dry
matter
content,
whereas
related
fineness
were
diaspore
mass:
heavier
diaspore,
coarser
system.
Specific
area
(SLA)
not
predictor
any
This
study
confirms
hypothesis
that
more
than
within
The
results
reveal
novel
pattern
highlight
power
data
close
knowledge
gaps
trait-based
ecology.
Journal of Applied Ecology,
Год журнала:
2020,
Номер
57(8), С. 1535 - 1550
Опубликована: Апрель 23, 2020
Abstract
Functional
traits
offer
promising
avenues
to
investigate
how
community
composition
and
diversity
define
ecosystem
functioning
service
delivery.
In
recent
years,
many
empirical
studies
on
the
importance
of
functional
for
provisioning
have
been
undertaken,
but
a
general
understanding
synthesis
results
is
lacking
ecosystems.
Here
we
focus
temperate
grasslands
present
systematic
literature
review
synthesizing
plant
are
interrelated
with
services.
Based
108
studies,
identified
core
set
40
11
Several
these
were
only
linked
one,
while
75%
two
or
more
We
found
that
trait‐specific
constraints
can
lead
both
synergies
trade‐offs
in
supply
multiple
For
instance,
between
biomass
production
climate
regulation
be
achieved
by
changing
morphometric
root
such
as
increasing
diameter,
tissue
density
shoot
ratio.
On
other
hand,
supporting
fast‐growing
exploitative
species
characterized
high
specific
leaf
area
nitrogen
content
typically
leads
fodder
quality
water
purification.
Synthesis
applications
.
By
applying
network
analysis,
five
groups
services
sharing
common
traits.
Within
among
groups,
well
options
synergies.
These
particularly
useful
landscape
planning,
when
management
aims
maintaining
multifunctionality
ecosystems
maximizing
corresponding
Functional Ecology,
Год журнала:
2020,
Номер
34(3), С. 575 - 585
Опубликована: Янв. 6, 2020
Abstract
The
root
economics
spectrum
(RES)
hypothesis
predicts
that
fast‐growing
tree
species
have
short‐lived
roots
with
high
specific
length
(SRL)
to
allow
rapid
resource
uptake,
and
opposite
trait
expressions
for
slow‐growing
species.
Yet,
the
mixed
support
this
suggests
trees
can
adopt
alternative
strategies
increase
besides
an
in
SRL.
We
combined
a
novel
mechanistic
whole‐tree
model
empirical
fine‐root
data
of
10
test
effects
one
these
strategies,
notably
increasing
mass,
on
tree's
net
C
gain
(used
here
as
proxy
performance),
assess
how
life
span
influences
relative
importance
SRL
mass
balance
trees.
Our
results
indicate
accounting
short
high‐SRL
has
important
implications
explaining
performance
role
herein.
Without
considering
their
faster
turnover,
low
resulted
highest
predicted
from
RES.
when
higher
turnover
rates
were
accounted
for,
lead
performance.
Both
our
outcomes
field
further
show
negative
relationship
between
through
which
aim
realize
similar
density.
This
trade‐off
indicates
well
values
both
positive
environment.
study
may
explain
why
do
not
necessarily
fastest
growth
often
hypothesized
demonstrates
combination
interspecific
differences
More
generally,
work
value
identifying
investigating
different
below‐ground
across
whole‐plant
modelling
perspective,
identifies
SRL,
biomass
functional
dimension
variation
species’
A
free
Plain
Language
Summary
be
found
within
Supporting
Information
article.
Functional Ecology,
Год журнала:
2017,
Номер
32(1), С. 29 - 39
Опубликована: Сен. 12, 2017
Abstract
Although
fine
roots
are
essential
for
the
water
and
nutrient
uptake
of
plants,
there
is
limited
understanding
root
trait
variation
underlying
mechanism.
Here,
six
first‐order
morphological
chemical
traits
were
measured
181
species
from
eight
subtropical
boreal
forests
to
test
hypothesis
different
phylogenetic
environmental
regulations
result
in
multidimensions
traits.
Two
independent
dimensions
between
thickness
detected
at
both
community
levels.
At
level,
diameter‐related
mainly
restricted
by
structure
showed
little
plasticity
changing
environments,
whereas
woody
was
influenced
significantly
soil
variables.
For
community‐level
traits,
axis
scores
principal
component
analysis
driven
mean
annual
temperature
through
shifting
composition,
nutrient‐related
strongly
P
availability.
From
levels,
our
study
confirms,
that
root‐thickness‐related
dimension
represent
new
support
multidimensionality
which
selection
pressure.
This
also
underlines
community‐aggregated
might
serve
as
a
promising
avenue
improve
assemblage
processes,
allowing
us
predict
changes
vegetation
distributions
climate.
A
plain
language
summary
available
this
article.
Functional Ecology,
Год журнала:
2018,
Номер
32(6), С. 1424 - 1435
Опубликована: Июнь 1, 2018
Few
facets
of
biology
vary
more
than
functional
traits
and
life-history
traits.
To
explore
this
vast
variation,
ecologists
population
have
developed
independent
approaches
that
identify
the
mechanisms
behind
consequences
trait
variation.Collaborative
research
between
researchers
using
trait-based
demographic
remains
scarce.
We
argue
is
a
missed
opportunity,
as
strengths
both
could
help
boost
agendas
ecology
ecology.This
special
feature,
which
spans
three
journals
British
Ecological
Society
due
to
its
interdisciplinary
nature,
showcases
state-of-the-art
applying
examine
relationships
organismal
function,
life
history
strategies
performance
across
multiple
kingdoms.
Examples
include
exploration
how
×
environment
interactions
affect
vital
rates
thus
explain
trends
species
occurrence;
coordination
seed
dispersal
ability
with
pace
in
plants;
incorporation
dynamic
energy
budget
models;
or
discovery
linkages
microbial
fast-slow
continuum.Despite
their
historical
isolation,
collaborative
work
unlock
novel
pathways.
call
for
an
integrative
agenda
evaluate
when
are
functional,
well
describe
predict
dynamics.
highlight
promising,
complementary
avenues
overcome
current
limitations.
These
explicit
linkage
selection
gradients
context
trait-vital
rate
relationships,
implementation
standardised
protocols
track
changes
over
time
at
same
location
individuals,
allowing
trade-offs
analyses
covariation
traits.Pocos
aspectos
varían
más
en
biología
que
los
caracteres
funcionales
y
de
historia
vital.
Para
explorar
esta
vasta
variación,
ecólogos
poblaciones
han
desarrollado
independientemente
métodos
identifican
mecanismos
las
consecuencias
dicha
variabilidad.Las
colaboraciones
entre
investigadores
utilizan
basados
son
bastante
limitadas
día
hoy.
Aquí
argumentamos
éllo
conlleva
una
gran
oportunidad
aún
por
explotar,
ya
fortalezas
ambas
metodologías
podrían
revolucionar
investigadoras
la
ecología
funcional
poblaciones.Este
número
especial,
el
cual
incorpora
tres
revistas
Sociedad
Ecológica
Británica
debido
su
carácter
interdisciplinar,
contiene
investigaciones
punteras
aplicación
demográficos
para
examinar
relaciones
funciones
del
organismo,
estrategias
vital,
rendimiento
poblacional
varios
reinos.
Algunos
ejemplos
incluyen
exploración
cómo
interacciones
funcional~ambiente
afectan
tasas
vitales
así
explicar
tendencias
demográficas
ocurrencia
especies;
coordinación
algunas
características
semillas,
habilidad
dispersora,
ritmo
reino
vegetal;
incorporación
modelos
presupuesto
dinámico
energía;
o
descubrimiento
enlaces
microbios
continuo
rápido‐lento.A
pesar
aislamiento
histórico,
abrir
novedosas
rutas
investigación.
Hacemos
llamada
desarrollo
investigadora
integradora
evalúe
cuáles
cuándo
funcionales,
como
predecir
dinámicas
poblacionales.
Asimismo,
resaltamos
aproximaciones
complementarias
prometedoras
superar
limitaciones
actuales,
incluyendo
vinculación
explícita
gradientes
selección
funcional~tasa
protocolos
estandarizados
cambios
temporales
misma
población
e
individuos.
Éllo
permitirá
incorporar
explícitamente
compromisos
energéticos
análisis
co‐variación
vital.Peu
facettes
biologie
varient
autant
les
fonctionnels
et
d'histoire
vie.
Pour
explorer
cette
grande
écologues
des
populations
ont
développé
approches
indépendantes
pour
identifier
mécanismes
sous‐jacents
conséquences
variations
ces
traits.Les
chercheurs
utilisant
soit
basées
sur
démographie
sont
rares.
Il
s'agit
sans
aucun
doute
d'une
opportunité
manquée
car
forces
combinées
deux
pourraient
accélérer
recherches
aussi
bien
l'écologie
fonctionnelle
populations.Ce
numéro
spécial,
à
cheval
trois
journaux
Société
Britannique
d'Ecologie,
illustre
dernières
appliquant
qui
s'appuient
examiner
relations
fonctions
organismes,
stratégies
vie,
performances
différents
groupes
taxonomiques.
Les
exemples
incluent:
(i)
l'exploration
façon
dont
x
environnement
affectent
taux
vitaux
expliquent
l'occurrence
espèces
tendances
populationnelles;
(ii)
le
rythme
vie
plantes
covarie
avec
graines
capacité
dispersion
celles‐ci;
(iii)
l'incorporation
dans
modèles
énergétique;
(iv)
ou
encore
découverte
d'un
lien
microbes
gradient
lent‐rapide.Malgré
leur
isolement
historique,
travail
collaboratif
pourrait
ouvrir
nouvelles
voies
recherche.
Nous
appelons
ainsi
une
recherche
intégrative
évaluer
quels
fonctionnels,
quelles
mesures,
décrire
prédire
dynamique
populations.
mettons
lumière
pistes
prometteuses
complémentaires
dépasser
limites
actuelles.
Ces
incluent
liaison
plus
explicite
sélection
contexte
relation
fonctionnel~taux
l'implémentation
protocoles
standardisés
suivre
temporelles
un
même
lieu
mêmes
individus,
permettant
prise
compte
compromis
l'analyse
New Phytologist,
Год журнала:
2017,
Номер
216(4), С. 1130 - 1139
Опубликована: Сен. 12, 2017
Root
traits
are
often
thought
to
be
analogues
of
leaf
along
the
plant
economics
spectrum.
But
evolutionary
pressures
have
most
likely
shaped
above-
and
belowground
patterns
differentially.
Here,
we
aimed
identify
important
aboveground
for
explaining
root
without
an
a
priori
focus
on
known
concepts.
We
measured
morphological
in
glasshouse
experiment
141
common
Central
European
grassland
species.
Using
random
forest
algorithms,
built
predictive
models
six
from
97
morphological,
ecological
life
history
traits.
tissue
density
was
best
predicted
by
dry
matter
content,
whereas
related
fineness
were
diaspore
mass:
heavier
diaspore,
coarser
system.
Specific
area
(SLA)
not
predictor
any
This
study
confirms
hypothesis
that
more
than
within
The
results
reveal
novel
pattern
highlight
power
data
close
knowledge
gaps
trait-based
ecology.