Predicting Ecosystem Stability from Community Composition and Biodiversity

Thumbnail Image
Date
2013-05-01
Authors
de Manzancourt, Claire
Isbell, Forest
Larocque, Allen
Berendse, Frank
de Luca, Enrica
Grace, James
Haegeman, Bart
Polley, H. Wayne
Roscher, Christiane
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Person
Wilsey, Brian
Professor
Research Projects
Organizational Units
Journal Issue
Is Version Of
Versions
Series
Department
Ecology, Evolution and Organismal Biology
Abstract

As biodiversity is declining at an unprecedented rate, an important current scientific challenge is to understand and predict the consequences of biodiversity loss. Here, we develop a theory that predicts the temporal variability of community biomass from the properties of individual component species in monoculture. Our theory shows that biodiversity stabilises ecosystems through three main mechanisms: (1) asynchrony in species’ responses to environmental fluctuations, (2) reduced demographic stochasticity due to overyielding in species mixtures and (3) reduced observation error (including spatial and sampling variability). Parameterised with empirical data from four long-term grassland biodiversity experiments, our prediction explained 22–75% of the observed variability, and captured much of the effect of species richness. Richness stabilised communities mainly by increasing community biomass and reducing the strength of demographic stochasticity. Our approach calls for a re-evaluation of the mechanisms explaining the effects of biodiversity on ecosystem stability.

Comments

This article is from Ecology Letters 16 (2013): 617, doi:10.1111/ele.12088.

Description
Keywords
Citation
DOI
Copyright
Collections