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Scaling up biodiversity ecosystem functioning relationships: the role of environmental heterogeneity in space and time

View ORCID ProfilePatrick L. Thompson, View ORCID ProfileSonia Kéfi, View ORCID ProfileYuval R. Zelnik, View ORCID ProfileLaura E. Dee, View ORCID ProfileShaopeng Wang, View ORCID ProfileClaire de Mazancourt, View ORCID ProfileMichel Loreau, View ORCID ProfileAndrew Gonzalez
doi: https://doi.org/10.1101/2020.11.04.367250
Patrick L. Thompson
1Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver V6T 1Z4, Canada
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  • For correspondence: patrick.thompson@zoology.ubc.ca
Sonia Kéfi
2ISEM, CNRS, Univ. Montpellier, IRD, EPHE, Montpellier, France
3Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
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Yuval R. Zelnik
4Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200 Moulis, France
5Department of Ecology, Swedish University of Agricultural Sciences, SE-750 07, Uppsala, Sweden
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Laura E. Dee
6Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado 80309, USA
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Shaopeng Wang
7Institute of Ecology, College of Urban and Environmental Science, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, 100871, Beijing, China
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Claire de Mazancourt
4Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200 Moulis, France
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Michel Loreau
4Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200 Moulis, France
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Andrew Gonzalez
8Department of Biology, McGill University, 1205 Dr. Penfield Avenue, Montreal H3A 1B1, Canada
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Abstract

The biodiversity and ecosystem functioning (BEF) relationship is expected to be scale-dependent. The autocorrelation of environmental heterogeneity is hypothesized to explain this scale dependence because it influences how quickly biodiversity accumulates over space or time. However, this link has yet to be demonstrated in a formal model. Here we use a Lotka-Volterra competition model to simulate community dynamics when environmental conditions vary across either space or time. Species differ in their optimal environmental conditions, which results in turnover in community composition. We vary biodiversity by modelling communities with different sized regional species pools and ask how the amount of biomass per unit area depends on the number of species present, and the spatial or temporal scale at which it is measured. We find that more biodiversity is required to maintain functioning at larger temporal and spatial scales. The number of species required increases quickly when environmental autocorrelation is low, and slowly when autocorrelation is high. Both spatial and temporal environmental heterogeneity led to scale dependence in BEF, but autocorrelation had larger impacts when environmental change was temporal. These findings show how the biodiversity required to maintain functioning is expected to increase over space and time.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • This version of the manuscript has been revised following peer review. No quantitative changes have been made to the results or findings.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 14, 2021.
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Scaling up biodiversity ecosystem functioning relationships: the role of environmental heterogeneity in space and time
Patrick L. Thompson, Sonia Kéfi, Yuval R. Zelnik, Laura E. Dee, Shaopeng Wang, Claire de Mazancourt, Michel Loreau, Andrew Gonzalez
bioRxiv 2020.11.04.367250; doi: https://doi.org/10.1101/2020.11.04.367250
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Scaling up biodiversity ecosystem functioning relationships: the role of environmental heterogeneity in space and time
Patrick L. Thompson, Sonia Kéfi, Yuval R. Zelnik, Laura E. Dee, Shaopeng Wang, Claire de Mazancourt, Michel Loreau, Andrew Gonzalez
bioRxiv 2020.11.04.367250; doi: https://doi.org/10.1101/2020.11.04.367250

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