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Functional trait diversity maximizes ecosystem multifunctionality.

Nicolas Gross1,2,3, Yoann Le Bagousse-Pinguet1, Pierre Liancourt4

  • 1Departamento de Biología y Geología, Física y Química Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, C/ Tulipán s/n, 28933 Móstoles, Spain.

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High trait diversity, measured by specific leaf area and plant height distributions, maximizes ecosystem multifunctionality in drylands. This finding quantifies trait diversity needed for ecosystem functioning and predicts biodiversity loss impacts.

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Trait Ecology

Background:

  • Understanding the link between biodiversity and ecosystem functioning is crucial.
  • The role of functional trait diversity in maintaining ecosystem multifunctionality remains unclear.

Purpose of the Study:

  • To investigate the relationship between trait diversity and multifunctionality in dryland ecosystems.
  • To quantify the amount of trait diversity required to maximize ecosystem functions simultaneously.

Main Methods:

  • Analyzed trait distributions (specific leaf area, maximum plant height) in 124 dryland plant communities globally.
  • Examined the relationship between distribution shape (skewness, kurtosis) and multifunctionality.
  • Compared the impact of trait diversity metrics with species richness and aridity.

Main Results:

  • Discovered a significant scaling relationship between skewness and kurtosis of trait distributions.
  • This relationship indicates high trait diversity within dryland plant communities.
  • Trait diversity, driven by skewness and kurtosis, strongly predicted local maximization of multifunctionality.

Conclusions:

  • Trait distribution shape is a key predictor of ecosystem multifunctionality.
  • Quantified the trait diversity necessary for maximizing multiple ecosystem functions.
  • Trait distributions offer a predictive tool for assessing biodiversity loss impacts on ecosystem functioning.