Biodiversity, productivity, and the spatial insurance hypothesis revisited. (7th September 2015)

• Record Type: Journal Article
• Authors: Shanafelt, David W.; Dieckmann, Ulf; Jonas, Matthias; Franklin, Oskar; Loreau, Michel; Perrings, Charles
• Is Part Of: Journal of theoretical biology. Volume 380(2015)
• Page Start: 426
• Page End: 435
• Publication Date: 2015-09-07
• Subjects: Dispersal -- Stability -- Stochasticity -- Risk; Biology -- Periodicals; Biological Science Disciplines -- Periodicals; Biology -- Periodicals; Biologie -- Périodiques; Theoretische biologie; Biology; Periodicals; 571.05
• DOI: 10.1016/j.jtbi.2015.06.017
• Languages: English
• ISSNs: 0022-5193

Abstract

Abstract: Accelerating rates of biodiversity loss have led ecologists to explore the effects of species richness on ecosystem functioning and the flow of ecosystem services. One explanation of the relationship between biodiversity and ecosystem functioning lies in the spatial insurance hypothesis, which centers on the idea that productivity and stability increase with biodiversity in a temporally varying, spatially heterogeneous environment. However, there has been little work on the impact of dispersal where environmental risks are more or less spatially correlated, or where dispersal rates are variable. In this paper, we extend the original Loreau model to consider stochastic temporal variation in resource availability, which we refer to as "environmental risk", and heterogeneity in species dispersal rates. We find that asynchronies across communities and species provide community-level stabilizing effects on productivity, despite varying levels of species richness. Although intermediate dispersal rates play a role in mitigating risk, they are less effective in insuring productivity against global (metacommunity-level) than local (individual community-level) risks. These results are particularly interesting given the emergence of global sources of risk such as climate change or the closer integration of world markets. Our results offer deeper insights into the Loreau model and new perspectives on the effectiveness of spatial insurance in the face of environmental risks. Highlights: Environmental risk and variable dispersal rates in a Loreau spatial insurance model. Spatial correlation of environmental risk decreases stabilizing effect of dispersal. Dispersal maintains productivity though biodiversity and stability decline.