Document Detail


IsoWeb: a bayesian isotope mixing model for diet analysis of the whole food web.
MedLine Citation:
PMID:  22848427     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Quantitative description of food webs provides fundamental information for the understanding of population, community, and ecosystem dynamics. Recently, stable isotope mixing models have been widely used to quantify dietary proportions of different food resources to a focal consumer. Here we propose a novel mixing model (IsoWeb) that estimates diet proportions of all consumers in a food web based on stable isotope information. IsoWeb requires a topological description of a food web, and stable isotope signatures of all consumers and resources in the web. A merit of IsoWeb is that it takes into account variation in trophic enrichment factors among different consumer-resource links. Sensitivity analysis using realistic hypothetical food webs suggests that IsoWeb is applicable to a wide variety of food webs differing in the number of species, connectance, sample size, and data variability. Sensitivity analysis based on real topological webs showed that IsoWeb can allow for a certain level of topological uncertainty in target food webs, including erroneously assuming false links, omission of existent links and species, and trophic aggregation into trophospecies. Moreover, using an illustrative application to a real food web, we demonstrated that IsoWeb can compare the plausibility of different candidate topologies for a focal web. These results suggest that IsoWeb provides a powerful tool to analyze food-web structure from stable isotope data. We provide R and BUGS codes to aid efficient applications of IsoWeb.
Authors:
Taku Kadoya; Yutaka Osada; Gaku Takimoto
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-07-27
Journal Detail:
Title:  PloS one     Volume:  7     ISSN:  1932-6203     ISO Abbreviation:  PLoS ONE     Publication Date:  2012  
Date Detail:
Created Date:  2012-07-31     Completed Date:  2013-04-02     Revised Date:  2013-07-12    
Medline Journal Info:
Nlm Unique ID:  101285081     Medline TA:  PLoS One     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e41057     Citation Subset:  IM    
Affiliation:
Center for Environmental Biology and Ecosystem Studies, National Institute for Environmental Studies, Tsukuba-City, Ibaraki, Japan. kadoya@nies.go.jp
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MeSH Terms
Descriptor/Qualifier:
Food Chain*
Models, Biological*
Radioisotopes / metabolism
Chemical
Reg. No./Substance:
0/Radioisotopes
Comments/Corrections

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