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Scaling up biodiversity–ecosystem functioning relationships: the role of environmental heterogeneity in space and time
Author(s) -
Patrick L. Thompson,
Sonia Kéfi,
Yuval R. Zelnik,
Laura E. Dee,
Shaopeng Wang,
Claire de Mazancourt,
Michel Loreau,
Andrew Gonzalez
Publication year - 2021
Publication title -
proceedings of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.342
H-Index - 253
eISSN - 1471-2954
pISSN - 0962-8452
DOI - 10.1098/rspb.2020.2779
Subject(s) - biodiversity , spatial analysis , ecosystem , spatial heterogeneity , spatial ecology , autocorrelation , ecology , scale (ratio) , temporal scales , environmental science , biomass (ecology) , competition (biology) , community structure , geography , econometrics , biology , statistics , mathematics , cartography , remote sensing
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.

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