Functional trait diversity maximizes ecosystem multifunctionality

Nicolas Gross, Yoann Le Bagousse-Pinguet, Pierre Liancourt, Miguel Berdugo, Nicholas J. Gotelli, Fernando T. Maestre

Research output: Contribution to journalArticlepeer-review

348 Scopus citations

Abstract

Understanding the relationship between biodiversity and ecosystem functioning has been a core ecological research topic over the past decades. Although a key hypothesis is that the diversity of functional traits determines ecosystem functioning, we do not know how much trait diversity is needed to maintain multiple ecosystem functions simultaneously (multifunctionality). Here, we uncovered a scaling relationship between the abundance distribution of two key plant functional traits (specific leaf area, maximum plant height) and multifunctionality in 124 dryland plant communities spread over all continents except Antarctica. For each trait, we found a strong empirical relationship between the skewness and the kurtosis of the trait distributions that cannot be explained by chance. This relationship predicted a strikingly high trait diversity within dryland plant communities, which was associated with a local maximization of multifunctionality. Skewness and kurtosis had a much stronger impact on multifunctionality than other important multifunctionality drivers such as species richness and aridity. The scaling relationship identified here quantifies how much trait diversity is required to maximize multifunctionality locally. Trait distributions can be used to predict the functional consequences of biodiversity loss in terrestrial ecosystems.

Original languageEnglish (US)
Article number0132
JournalNature Ecology and Evolution
Volume1
Issue number5
DOIs
StatePublished - Apr 18 2017

Bibliographical note

Publisher Copyright:
© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology

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