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

AbstractThe 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.
- Swedish University of Agricultural Sciences
- University of Montpellier France
- French National Centre for Scientific Research France
- Peking University China (People's Republic of)
- Laboratoire Parole et Langage France
[SDE] Environmental Sciences, biodiversity–ecosystem functioning, environmental autocorrelation, Biodiversity, 333, [SDE]Environmental Sciences, beta diversity, Biomass, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, competition, Ecosystem, complementarity
[SDE] Environmental Sciences, biodiversity–ecosystem functioning, environmental autocorrelation, Biodiversity, 333, [SDE]Environmental Sciences, beta diversity, Biomass, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, competition, Ecosystem, complementarity
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).27 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
