Document Detail

Does foraging adaptation create the positive complexity-stability relationship in realistic food-web structure?
MedLine Citation:
PMID:  16085108     Owner:  NLM     Status:  MEDLINE    
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.
Michio Kondoh
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2005-08-08
Journal Detail:
Title:  Journal of theoretical biology     Volume:  238     ISSN:  0022-5193     ISO Abbreviation:  J. Theor. Biol.     Publication Date:  2006 Feb 
Date Detail:
Created Date:  2006-01-17     Completed Date:  2006-05-03     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0376342     Medline TA:  J Theor Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  646-51     Citation Subset:  IM    
Department of Environmental Solution Technology, Faculty of Science and Technology, Ryukoku University, 1-5 Yokoya, Seta Oe-cho, Otsu 520-2194, Japan.
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MeSH Terms
Adaptation, Biological*
Behavior, Animal*
Computer Simulation*
Feeding Behavior
Food Chain*
Population Dynamics

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