Functional links and robustness in food webs

Author:

Allesina Stefano12,Bodini Antonio3,Pascual Mercedes14

Affiliation:

1. Department of Ecology and Evolutionary Biology, University of MichiganNatural Science Building, 830 North University, Ann Arbor, MI 48109, USA

2. National Center for Ecological Analysis and Synthesis735 State Street, Suite 300, Santa Barbara, CA 93101, USA

3. Dipartimento di Scienze Ambientali, Università di ParmaViale Usberti 11/A, 43100 Parma, Italy

4. Santa Fe Institute1399 Hyde Park Road, Santa Fe, NM 87501, USA

Abstract

The robustness of ecosystems to species losses is a central question in ecology, given the current pace of extinctions and the many species threatened by human impacts, including habitat destruction and climate change. Robustness from the perspective of secondary extinctions has been addressed in the context of food webs to consider the complex network of species interactions that underlie responses to perturbations. In-silico removal experiments have examined the structural properties of food webs that enhance or hamper the robustness of ecosystems to species losses, with a focus on the role of hubs, the most connected species. Here we take a different approach and focus on the role of the connections themselves. We show that trophic links can be divided into functional and redundant based on their contribution to robustness. The analysis of empirical webs shows that hubs are not necessarily the most important species as they may hold many redundant links. Furthermore, the fraction of functional connections is high and constant across systems regardless of size and interconnectedness. The main consequence of this scaling pattern is that ecosystem robustness can be considerably reduced by species extinctions even when these do not result in any secondary extinctions. This introduces the possibility of tipping points in the collapse of ecosystems.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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