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Relevance of evolutionary history for food web structure
Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA.
Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA.
Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA.
Department of Ecology and Evolution, and Computation Institute, University of Chicago, Chicago, IL 60637, USA.
2012 (engelsk)Inngår i: Proceedings of the Royal Society of London. Biological Sciences, ISSN 0962-8452, E-ISSN 1471-2954, Vol. 279, nr 1733, s. 1588-1596Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Explaining the structure of ecosystems is one of the great challenges of ecology. Simple models for foodweb structure aim at disentangling the complexity of ecological interaction networks and detect the main forces that are responsible for their shape. Trophic interactions are influenced by species traits, which in turn are largely determined by evolutionary history. Closely related species are more likely to share similar traits, such as body size, feeding mode and habitat preference than distant ones. Here, we present a theoretical framework for analysing whether evolutionary history—represented by taxonomic classification—provides valuable information on food web structure. In doing so, we measure which taxonomic ranks better explain species interactions. Our analysis is based on partitioning of the species into taxonomic units. For each partition, we compute the likelihood that a probabilistic model for food web structurere produces the data using this information. We find that taxonomic partitions produce significantly higher likelihoods than expected at random. Marginal likelihoods (Bayes factors) are used to perform model selection among taxonomic ranks. We show that food webs are best explained by the coarser taxonomic ranks (kingdom to class). Our methods provide a way to explicitly include evolutionary history in models for food web structure.

sted, utgiver, år, opplag, sider
The Royal Society Publishing , 2012. Vol. 279, nr 1733, s. 1588-1596
Emneord [en]
complex networks; dimension; food webs; species traits; taxonomy
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-136453DOI: 10.1098/rspb.2011.2149ISI: 000301332900018PubMedID: 22090387Scopus ID: 2-s2.0-84857961489OAI: oai:DiVA.org:liu-136453DiVA, id: diva2:1087977
Tilgjengelig fra: 2017-04-10 Laget: 2017-04-10 Sist oppdatert: 2017-04-20bibliografisk kontrollert

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