| Complexity in quantitative food webs. | |
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MedLine Citation:
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PMID: 19569361 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Food webs depict who eats whom in communities. Ecologists have examined statistical metrics and other properties of food webs, but mainly due to the uneven quality of the data, the results have proved controversial. The qualitative data on which those efforts rested treat trophic interactions as present or absent and disregard potentially huge variation in their magnitude, an approach similar to analyzing traffic without differentiating between highways and side roads. More appropriate data are now available and were used here to analyze the relationship between trophic complexity and diversity in 59 quantitative food webs from seven studies (14-202 species) based on recently developed quantitative descriptors. Our results shed new light on food-web structure. First, webs are much simpler when considered quantitatively, and link density exhibits scale invariance or weak dependence on food-web size. Second, the "constant connectance" hypothesis is not supported: connectance decreases with web size in both qualitative and quantitative data. Complexity has occupied a central role in the discussion of food-web stability, and we explore the implications for this debate. Our findings indicate that larger webs are more richly endowed with the weak trophic interactions that recent theories show to be responsible for food-web stability. |
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Authors:
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Carolin Banasek-Richter; Louis-Félix Bersier; Marie-France Cattin; Richard Baltensperger; Jean-Pierre Gabriel; Yves Merz; Robert E Ulanowicz; Annette F Tavares; D Dudley Williams; Peter C de Ruiter; Kirk O Winemiller; Russell E Naisbit |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Ecology Volume: 90 ISSN: 0012-9658 ISO Abbreviation: Ecology Publication Date: 2009 Jun |
Date Detail:
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Created Date: 2009-07-02 Completed Date: 2009-08-04 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0043541 Medline TA: Ecology Country: United States |
Other Details:
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Languages: eng Pagination: 1470-7 Citation Subset: IM |
Affiliation:
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Department of Biology, Darmstadt University of Technology, Schnittspahnstrasse 10, D-64287 Darmstadt, Germany. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Biodiversity* Food Chain* Invertebrates / physiology* Models, Biological Population Dynamics Seasons Soil |
| Chemical | |
Reg. No./Substance:
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0/Soil |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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