Document Detail


A keystone mutualism drives pattern in a power function.
MedLine Citation:
PMID:  16484494     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Data that can be described by a power function are ubiquitous in nature. Although there is consensus that such data frequently emerge generally from nonlinear complex systems, a variety of specific mechanisms may be responsible for creating the pattern in particular cases. Here, we report on the distribution of a scale insect (Coccus viridis) that is a common agricultural pest. Its distribution in an organic coffee farm in southern Mexico generally follows a power function, but there are subtle deviations from that function. We offer a biological explanation for both adherence to the power functions and associated deviations, along with supporting evidence.
Authors:
John Vandermeer; Ivette Perfecto
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Science (New York, N.Y.)     Volume:  311     ISSN:  1095-9203     ISO Abbreviation:  Science     Publication Date:  2006 Feb 
Date Detail:
Created Date:  2006-02-17     Completed Date:  2006-03-06     Revised Date:  2007-03-19    
Medline Journal Info:
Nlm Unique ID:  0404511     Medline TA:  Science     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1000-2     Citation Subset:  IM    
Affiliation:
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA. jvander@umich.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Ants / physiology*
Beetles / physiology
Coffea*
Ecosystem*
Hemiptera / parasitology,  physiology*
Mathematics
Mexico
Models, Biological
Population Density
Population Dynamics
Population Growth
Predatory Behavior
Symbiosis*
Wasps / physiology
Comments/Corrections
Comment In:
Science. 2006 Sep 22;313(5794):1739; author reply 1739   [PMID:  16990535 ]
Science. 2006 Sep 22;313(5794):1739; author reply 1739   [PMID:  16990534 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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