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A competitive network theory of species diversity
Open accessAbstract
Nonhierarchical competition between species has been proposed as a potential mechanism for biodiversity maintenance, but theoretical and empirical research has thus far concentrated on systems composed of relatively few species. Here we develop a theory of biodiversity based on a network representation of competition for systems with large numbers of competitors. All species pairs are connected by an arrow from the inferior to the superior. Using game theory, we show how the equilibrium density of all species can be derived from the structure of the network. We show that when species are limited by multiple factors, the coexistence of a large number of species is the most probable outcome and that habitat heterogeneity interacts with network structure to favor diversity.
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Cites
Mechanisms of Maintenance of Species Diversity
Chesson, P. (2000) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.31.1.343 · Cited by 6,645
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Friedman, J., Higgins, L. M., & Gore, J. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0109 · Cited by 557
What are higher-order networks?
Bick, C., Gross, E., Harrington, H. A., & Schaub, M. T. (2023) · SIAM Review · doi:10.1137/21m1414024 · Cited by 420
A structural approach for understanding multispecies coexistence
Saavedra, S., Rohr, R. P., Bascompte, J., Godoy, O., Kraft, N. J. B., & Levine, J. M. (2017) · Ecological Monographs · doi:10.1002/ecm.1263 · Cited by 282
Self-citationEnvironmental Risks of Large Scale Cultivation of Microalgae: Mitigation of Spills
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Metadata
- Authors
- Allesina, S., & Levine, J. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2011-03-17
- Volume
- 108
- Issue
- 14
- Pages
- 5638-5642
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2005578818
- Cited by
- 353
- References
- 1
- FWCI
- 11.73
- Type
- journal article
- Language
- en
- Open access
- green
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- Allesina, S., & Levine, J. M. (2011). A competitive network theory of species diversity. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1014428108
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
