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How traits control species' biomass in monoculture and mixture and drive biodiversity-ecosystem functioning relationships
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  • Veronika Ceballos-Nuñez,
  • Christian Wirth,
  • Adam Clark,
  • Michael Crawford,
  • Caroline Farrior,
  • Jes Hines,
  • Jens Kattge,
  • Emma Ladouceur,
  • Jeremy Lichstein,
  • Isabelle Maréchaux,
  • Akira Mori,
  • Björn Reineking,
  • Lindsay Turnbull,
  • Katie Barry,
  • Nadja Rüger
Veronika Ceballos-Nuñez
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
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Christian Wirth
Leipzig University
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Adam Clark
University of Graz
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Michael Crawford
Universitat Potsdam
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Caroline Farrior
The University of Texas at Austin
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Jes Hines
German Centre for Integrative Biodiversity Research (iDiv)
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Jens Kattge
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Emma Ladouceur
The German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
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Jeremy Lichstein
University of Florida
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Isabelle Maréchaux
Laboratoire Evolution et Diversité Biologique UMR 5174 EDB; CNRS, Université Toulouse 3 Paul Sabatier, ENFA
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Akira Mori
University of Tokyo
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Björn Reineking
Irstea
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Lindsay Turnbull
Oxford University
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Katie Barry
Utrecht University

Corresponding Author:k.e.barry@uu.nl

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Nadja Rüger
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
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Abstract

Humans are driving unprecedented environmental change, causing the loss of species from local ecosystems. This local species loss is likely to result in declines in ecosystem functioning, but understanding why these so-called biodiversity-ecosystem functioning relationships vary is crucial for conservation efforts. Previous studies have shown that variation among biodiversity-ecosystem functioning (BEF) relationships can be explained by a ’function-dominance correlation’, i.e., the correlation of species’ biomass in monoculture (‘functioning’) vs. mixtures (‘dominance’). One potential reason for the importance of the function-dominance correlation is its relationship to underlying plant traits. Here, we explore which traits control species’ biomass in monoculture and mixture and thereby drive the function-dominance correlation, and hence BEF relationships. To do this, we perform a modeling experiment with six trait-based models of plant community dynamics and classify model traits as either ‘size’ or ‘resource’ traits. This approach allows us to better generalize across systems that differ in terms of their key traits and/or how a given trait affects individual performance and ecosystem functioning. We found that size traits, but not resource traits, predicted species’ monoculture biomass in five out of the six models. However, in mixture, resource traits became more important and – in addition to size traits - explained substantial variation in species’ biomass in four models. In models where size traits were consistently important predictors of biomass variance in monoculture and mixture, the function-dominance correlation was high, and BEF relationships were strongly positive. Our analysis shows how generalizable categories of functional traits allow predicting BEF relationships across simulated systems, and thereby the potential effects of losing species on ecosystem functioning.
11 Nov 2024Submitted to Oikos
11 Nov 2024Submission Checks Completed
11 Nov 2024Assigned to Editor
11 Nov 2024Review(s) Completed, Editorial Evaluation Pending
02 Dec 2024Reviewer(s) Assigned