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When and how should intraspecific variability be considered in trait-based plant ecology?

  • Trait-based studies have become extremely common in plant ecology. Trait-based approaches often rely on the tacit assumption that intraspecific trait variability (ITV) is negligible compared to interspecific variability, so that species can be characterized by mean trait values. Yet, numerous recent studies have challenged this assumption by showing that ITV significantly affects various ecological processes. Accounting for ITV may thus strengthen trait-based approaches, but measuring trait values on a large number of individuals per species and site is not feasible. Therefore, it is important and timely to synthesize existing knowledge on ITV in order to (1) decide critically when ITV should be considered, and (2) establish methods for incorporating this variability. Here we propose a practical set of rules to identify circumstances under which ITV should be accounted for. We formulate a spatial trait variance partitioning hypothesis to highlight the spatial scales at which ITV cannot be ignored in ecological studies. We then refineTrait-based studies have become extremely common in plant ecology. Trait-based approaches often rely on the tacit assumption that intraspecific trait variability (ITV) is negligible compared to interspecific variability, so that species can be characterized by mean trait values. Yet, numerous recent studies have challenged this assumption by showing that ITV significantly affects various ecological processes. Accounting for ITV may thus strengthen trait-based approaches, but measuring trait values on a large number of individuals per species and site is not feasible. Therefore, it is important and timely to synthesize existing knowledge on ITV in order to (1) decide critically when ITV should be considered, and (2) establish methods for incorporating this variability. Here we propose a practical set of rules to identify circumstances under which ITV should be accounted for. We formulate a spatial trait variance partitioning hypothesis to highlight the spatial scales at which ITV cannot be ignored in ecological studies. We then refine a set of four consecutive questions on the research question, the spatial scale, the sampling design, and the type of studied traits, to determine case-by-case if a given study should quantify ITV and test its effects. We review methods for quantifying ITV and develop a step-by-step guideline to design and interpret simulation studies that test for the importance of ITV. Even in the absence of quantitative knowledge on ITV, its effects can be assessed by varying trait values within species within realistic bounds around the known mean values. We finish with a discussion of future requirements to further incorporate ITV within trait-based approaches. This paper thus delineates a general framework to account for ITV and suggests a direction towards a more quantitative trait-based ecology.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Cécile H. Albert, Fabrice Grassein, Frank Martin SchurrGND, Ghislain Vieilledent, Cyrille Violle
DOI:https://doi.org/10.1016/j.ppees.2011.04.003
ISSN:1433-8319
Titel des übergeordneten Werks (Englisch):Perspectives in plant ecology, evolution and systematics
Verlag:Elsevier
Verlagsort:Jena
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2011
Erscheinungsjahr:2011
Datum der Freischaltung:26.03.2017
Freies Schlagwort / Tag:Comparative ecology; Functional ecology; Genetic variability; Intraspecific functional variability; Phenotypic plasticity; Plant functional hairs; Within-species variability
Band:13
Ausgabe:3
Seitenanzahl:9
Erste Seite:217
Letzte Seite:225
Fördernde Institution:ANR [ANR-07-CIS7, ANR-07-BDIV-014, ANR-05-BDIV-009]; la Region Rhone-Alpes (France); ANR-MEEDDAT VITAL [09P00954]; region "Basse Normandie" (France); European Union [MTKD-CT-2006-042261]; European Community [221060]
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer Review:Referiert
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