| Does foraging adaptation create the positive complexity-stability relationship in realistic food-web structure? | |
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MedLine Citation:
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PMID: 16085108 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The adaptive food-web hypothesis suggests that an adaptive foraging switch inverses the classically negative complexity-stability relationships of food webs into positive ones, providing a possible resolution for the long-standing paradox of how populations persist in a complex natural food web. However, its applicability to natural ecosystems has been questioned, because the positive relationship does not emerge when a niche model, a realistic "benchmark" of food-web models, is used. I hypothesize that, in the niche model, increasing connectance influences the fraction of basal species to destabilize the system and this masks the inversion of the negative complexity-stability relationship in the presence of adaptive foraging. A model analysis shows that, if this confounding effect is eliminated, then, even in a niche model, a population is more likely to persist in a more complex food web. This result supports the robustness of adaptive food-web hypothesis and reveals the condition in which the hypothesis should be tested. |
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Authors:
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Michio Kondoh |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2005-08-08 |
Journal Detail:
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Title: Journal of theoretical biology Volume: 238 ISSN: 0022-5193 ISO Abbreviation: J. Theor. Biol. Publication Date: 2006 Feb |
Date Detail:
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Created Date: 2006-01-17 Completed Date: 2006-05-03 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 0376342 Medline TA: J Theor Biol Country: England |
Other Details:
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Languages: eng Pagination: 646-51 Citation Subset: IM |
Affiliation:
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Department of Environmental Solution Technology, Faculty of Science and Technology, Ryukoku University, 1-5 Yokoya, Seta Oe-cho, Otsu 520-2194, Japan. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adaptation, Biological* Animals Behavior, Animal* Computer Simulation* Evolution Feeding Behavior Food Chain* Population Dynamics |
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