Title

Applying Stable Isotopes to Examine Food-Web Structure: an Overview of Analytical Tools

Document Type

Article

Publication Date

8-2012

Publication Title

Biological Reviews

Keywords

Bayesian statistics, Dietary variation, Individual specialization, Mixing model, Predator-prey interactions, Trophic structure

ISSN

1464-7931

Volume

87

Issue/No.

3

First Page

545

Last Page

562

Abstract

Stable isotope analysis has emerged as one of the primary means for examining the structure and dynamics of food webs, and numerous analytical approaches are now commonly used in the field. Techniques range from simple, qualitative inferences based on the isotopic niche, to Bayesian mixing models that can be used to characterize food-web structure at multiple hierarchical levels. We provide a comprehensive review of these techniques, and thus a single reference source to help identify the most useful approaches to apply to a given data set. We structure the review around four general questions: (1) what is the trophic position of an organism in a food web?; (2) which resource pools support consumers?; (3) what additional information does relative position of consumers in isotopic space reveal about food-web structure?; and (4) what is the degree of trophic variability at the intrapopulation level? For each general question, we detail different approaches that have been applied, discussing the strengths and weaknesses of each. We conclude with a set of suggestions that transcend individual analytical approaches, and provide guidance for future applications in the field.

Comments

©2011 The Authors. Biological Reviews ©2011 Cambridge Philosophical Society

Additional Comments

NSF grant #s: OCE 0746164, DEB 0842196, DEB 910514

DOI

10.1111/j.1469-185X.2011.00208.x

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