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

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

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 lead to scale dependence in BEF, but autocorrelation has larger impacts when environmental change is temporal. These findings show how the biodiversity required to maintain functioning is expected to increase over space and time.

Original languageEnglish
Article number2779
JournalProceedings of the Royal Society B: Biological Sciences
Volume288
Issue number1946
DOIs
StatePublished - 10 Mar 2021
Externally publishedYes

Keywords

  • beta diversity
  • biodiversity-ecosystem functioning
  • competition
  • complementarity
  • environmental autocorrelation

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Environmental Science
  • General Agricultural and Biological Sciences

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