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整合胃内容物和稳定同位素分析来量化小企鹅的饮食。

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

机构信息

Department of Biology and Marine Biology, University of North Carolina Wilmington, Wilmington, North Carolina, United States of America.

出版信息

PLoS One. 2011;6(10):e26642. doi: 10.1371/journal.pone.0026642. Epub 2011 Oct 28.

DOI:10.1371/journal.pone.0026642
PMID:22053199
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3203888/
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.

摘要

胃内容物分析(SCA)和最近的稳定同位素分析(SIA)与同位素混合模型相结合,已成为饮食研究的常用方法,并深入了解了海鸟的觅食生态学。然而,这两种方法都有缺点和偏差,可能导致难以量化饮食在年际和物种间的差异。我们同时使用这两种方法来定量分析帽带企鹅(Pygoscelis antarctica)和巴布亚企鹅(P. papua)的雏鸟育雏饮食,并强调整合 SCA 数据的方法,以提高 SIA 对饮食成分估计的准确性。SCA 生物量估计值变化很大,低估了软质猎物(如鱼类)的重要性。双源同位素混合模型预测结果的变异性较小,能够识别出企鹅饮食中鱼类和磷虾的相对数量在年际和物种间的差异,而这些差异使用 SCA 不易察觉。相比之下,多源同位素混合模型在没有使用 SCA 衍生的耳石数据进行细化的情况下,难以估计具有相似营养级别的鱼类物种的饮食贡献。总体而言,我们通过三种方式将 SCA 数据整合到同位素混合模型中,提高了使用 SIA 跟踪企鹅饮食在年际和物种间差异的能力:1)选择适当的猎物来源,2)在双源混合模型中加权同位素相似的猎物组合,3)细化多源模型中同位素相似的猎物的预测贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70b/3203888/64c2d7c5675f/pone.0026642.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70b/3203888/9dae65829d08/pone.0026642.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70b/3203888/22a7133f3d3e/pone.0026642.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70b/3203888/64c2d7c5675f/pone.0026642.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70b/3203888/9dae65829d08/pone.0026642.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70b/3203888/22a7133f3d3e/pone.0026642.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70b/3203888/64c2d7c5675f/pone.0026642.g003.jpg

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