Evidence map›Paper›PMID 22053199›Full record

ArticlePloS one2011

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

Michael J Polito, Wayne Z Trivelpiece, Nina J Karnovsky, Elizabeth Ng, William P Patterson, Steven D Emslie

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In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Michael J PolitoDepartment of Biology and Marine Biology, University of North Carolina Wilmington, Wilmington, North Carolina, United States of America. mjp7454@uncw.edu
Wayne Z Trivelpiece
Nina J Karnovsky
Elizabeth Ng
William P Patterson
Steven D Emslie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

DietAnimalsCarbon IsotopesFeathersFemaleFishesGastrointestinal ContentsGeographyIsotope LabelingMaleModels, BiologicalNitrogen IsotopesOtolithic MembranePredatory BehaviorSpecies SpecificitySpheniscidaeCarbon IsotopesNitrogen Isotopes

Identifiers

PMID22053199
PMCPMC3203888

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.