How size and resource traits control species' biomass in monoculture and mixture and drive biodiversity–ecosystem functioning relationships

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 and sustainable land management. 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') versus 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 systems, and thereby the potential effects of losing species on ecosystem functioning.

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Publication Details

Journal
Oikos
Published
2025-07-12
DOI
https://doi.org/10.1002/oik.11251
Citations
2
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
4.63

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article

How size and resource traits control species' biomass in monoculture and mixture and drive biodiversity–ecosystem functioning relationships

Verónika Ceballos‐Núñez, Isabelle Maréchaux, Lindsay A. Turnbull, Björn Reineking et al.
2 citations
Oikos
Ecology and Vegetation Dynamics Studies
4.63
article

How size and resource traits control species' biomass in monoculture and mixture and drive biodiversity–ecosystem functioning relationships

Verónika Ceballos‐Núñez, Isabelle Maréchaux, Lindsay A. Turnbull, Björn Reineking, Adam Thomas Clark, Emma Ladouceur, Caroline E. Farrior, Nadja Rüger, Jes Hines, Christian Wirth, Kathryn E. Barry, Akira S. Mori, Jens Kattge, Michael Crawford, Jeremy W. Lichstein
article en
2 citations

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 and sustainable land management. 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') versus 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 systems, and thereby the potential effects of losing species on ecosystem functioning.

OikosVol. 2025(10)
Smithsonian Tropical Research Institute (PA), Centre National de la Recherche Scientifique (FR), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR), Leipzig University of Applied Sciences (DE), University of Graz (AT), University of Applied Sciences Utrecht (NL), Utrecht University (NL), Université de Montpellier (FR), University of Prince Edward Island (CA), German Centre for Integrative Biodiversity Research (DE), University of Florida (US), University of Oxford (GB), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Science Oxford (GB), Max Planck Institute for Biogeochemistry (DE), Institut de Recherche pour le Développement (FR), Potsdam Institute for Climate Impact Research (DE), The University of Tokyo (JP), The University of Texas at Austin (US), Leipzig University (DE)
Deutsche Forschungsgemeinschaft, Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig
Openalex Percentile: Top 6%
Ecology and Vegetation Dynamics Studies
4.63
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