| A robust measure of food web intervality. | |
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MedLine Citation:
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PMID: 17146055 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Intervality of a food web is related to the number of trophic dimensions characterizing the niches in a community. We introduce here a mathematically robust measure for food web intervality. It has previously been noted that empirical food webs are not strictly interval; however, upon comparison to suitable null hypotheses, we conclude that empirical food webs actually do exhibit a strong bias toward contiguity of prey, that is, toward intervality. Further, our results strongly suggest that empirically observed species and their diets can be mapped onto a single dimension. This finding validates a critical assumption in the recently proposed static niche model and provides guidance for ongoing efforts to develop dynamic models of ecosystems. |
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Authors:
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Daniel B Stouffer; Juan Camacho; Luís A Nunes Amaral |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. Date: 2006-12-04 |
Journal Detail:
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Title: Proceedings of the National Academy of Sciences of the United States of America Volume: 103 ISSN: 0027-8424 ISO Abbreviation: Proc. Natl. Acad. Sci. U.S.A. Publication Date: 2006 Dec |
Date Detail:
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Created Date: 2006-12-13 Completed Date: 2007-01-22 Revised Date: 2013-06-06 |
Medline Journal Info:
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Nlm Unique ID: 7505876 Medline TA: Proc Natl Acad Sci U S A Country: United States |
Other Details:
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Languages: eng Pagination: 19015-20 Citation Subset: IM |
Affiliation:
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Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Computer Simulation Empirical Research Food Chain* Models, Biological |
| Grant Support | |
ID/Acronym/Agency:
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K25 GM069546-04/GM/NIGMS NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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