Multi‐tissue stable‐isotope analyses can identify dietary specialization. Issue 12 (19th August 2016)

• Record Type: Journal Article
• Authors: Bond, Alexander L.; Jardine, Timothy D.; Hobson, Keith A.
• Editors: Davey, Matthew
• Is Part Of: Methods in ecology and evolution. Volume 7:Issue 12(2016:Dec.)
• Page Start: 1428
• Page End: 1437
• Publication Date: 2016-08-19
• Subjects: Food Webs -- individual specialization -- Mitchell River -- Northwater Polynya -- simulation study -- stable isotopes; Ecology -- Periodicals; Evolution -- Periodicals; 577
• DOI: 10.1111/2041-210X.12620
• Languages: English
• ISSNs: 2041-210X

Abstract

Summary: Individual specialization along one or more niche axes is now recognized as an integral and ubiquitous aspect of populations. A major challenge, however, is quantifying the level of specialization using robust metrics that are applicable across species and ecosystems. Measuring stable‐isotope values in multiple tissues with different isotopic turnover rates could be one mechanism for quantifying specialization. We used simulation studies of stable‐isotope values to investigate how the recently proposed relative index of specialization varies in relation to variance in prey isotope values, diet–tissue discrimination factors, specialist group size and tissue half‐life, and applied specialization metrics to two systems – Australian freshwater fish and marine birds in the Canadian Arctic. In all simulations, populations comprised entirely of generalists were easily separated from those with even small amounts (5%) of individual specialization. In some cases, however, specialization measured using isotope values with bimodal distributions may appear similar to those with univariate distributions, but this can be detected by examining the original data. All fish and bird species examined showed varying degrees of individual specialization. Analysing stable isotopes in multiple tissues can provide a useful index of the degree of specialization within a population that can be compared to the same metric measured in other groups or species.