Integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.

Stomach content analysis (SCA) and more recently stable isotope analysis (SIA) integrated with isotopic mixing models have become common methods for dietary studies and provide insight into the foraging ecology of seabirds. However, both methods have drawbacks and biases that may result in difficult...

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Main Authors: Michael J Polito, Wayne Z Trivelpiece, Nina J Karnovsky, Elizabeth Ng, William P Patterson, Steven D Emslie
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3203888?pdf=render
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spelling doaj-00f87c36382f427e8ba61551c468fcff2020-11-25T01:46:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-01610e2664210.1371/journal.pone.0026642Integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.Michael J PolitoWayne Z TrivelpieceNina J KarnovskyElizabeth NgWilliam P PattersonSteven D EmslieStomach content analysis (SCA) and more recently stable isotope analysis (SIA) integrated with isotopic mixing models have become common methods for dietary studies and provide insight into the foraging ecology of seabirds. However, both methods have drawbacks and biases that may result in difficulties in quantifying inter-annual and species-specific differences in diets. We used these two methods to simultaneously quantify the chick-rearing diet of Chinstrap (Pygoscelis antarctica) and Gentoo (P. papua) penguins and highlight methods of integrating SCA data to increase accuracy of diet composition estimates using SIA. SCA biomass estimates were highly variable and underestimated the importance of soft-bodied prey such as fish. Two-source, isotopic mixing model predictions were less variable and identified inter-annual and species-specific differences in the relative amounts of fish and krill in penguin diets not readily apparent using SCA. In contrast, multi-source isotopic mixing models had difficulty estimating the dietary contribution of fish species occupying similar trophic levels without refinement using SCA-derived otolith data. Overall, our ability to track inter-annual and species-specific differences in penguin diets using SIA was enhanced by integrating SCA data to isotopic mixing modes in three ways: 1) selecting appropriate prey sources, 2) weighting combinations of isotopically similar prey in two-source mixing models and 3) refining predicted contributions of isotopically similar prey in multi-source models.http://europepmc.org/articles/PMC3203888?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Michael J Polito
Wayne Z Trivelpiece
Nina J Karnovsky
Elizabeth Ng
William P Patterson
Steven D Emslie
spellingShingle Michael J Polito
Wayne Z Trivelpiece
Nina J Karnovsky
Elizabeth Ng
William P Patterson
Steven D Emslie
Integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.
PLoS ONE
author_facet Michael J Polito
Wayne Z Trivelpiece
Nina J Karnovsky
Elizabeth Ng
William P Patterson
Steven D Emslie
author_sort Michael J Polito
title Integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.
title_short Integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.
title_full Integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.
title_fullStr Integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.
title_full_unstemmed Integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.
title_sort integrating stomach content and stable isotope analyses to quantify the diets of pygoscelid penguins.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description Stomach content analysis (SCA) and more recently stable isotope analysis (SIA) integrated with isotopic mixing models have become common methods for dietary studies and provide insight into the foraging ecology of seabirds. However, both methods have drawbacks and biases that may result in difficulties in quantifying inter-annual and species-specific differences in diets. We used these two methods to simultaneously quantify the chick-rearing diet of Chinstrap (Pygoscelis antarctica) and Gentoo (P. papua) penguins and highlight methods of integrating SCA data to increase accuracy of diet composition estimates using SIA. SCA biomass estimates were highly variable and underestimated the importance of soft-bodied prey such as fish. Two-source, isotopic mixing model predictions were less variable and identified inter-annual and species-specific differences in the relative amounts of fish and krill in penguin diets not readily apparent using SCA. In contrast, multi-source isotopic mixing models had difficulty estimating the dietary contribution of fish species occupying similar trophic levels without refinement using SCA-derived otolith data. Overall, our ability to track inter-annual and species-specific differences in penguin diets using SIA was enhanced by integrating SCA data to isotopic mixing modes in three ways: 1) selecting appropriate prey sources, 2) weighting combinations of isotopically similar prey in two-source mixing models and 3) refining predicted contributions of isotopically similar prey in multi-source models.
url http://europepmc.org/articles/PMC3203888?pdf=render
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