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DOI | 10.1002/env.2221 |
Bayesian stable isotope mixing models | |
Parnell, Andrew C.1; Phillips, Donald L.2; Bearhop, Stuart3; Semmens, Brice X.4; Ward, Eric J.5; Moore, Jonathan W.6; Jackson, Andrew L.7; Grey, Jonathan8; Kelly, David J.7; Inger, Richard9 | |
发表日期 | 2013-09-01 |
ISSN | 1180-4009 |
卷号 | 24期号:6页码:387-399 |
英文摘要 | In this paper, we review recent advances in stable isotope mixing models (SIMMs) and place them into an overarching Bayesian statistical framework, which allows for several useful extensions. SIMMs are used to quantify the proportional contributions of various sources to a mixture. The most widely used application is quantifying the diet of organisms based on the food sources they have been observed to consume. At the centre of the multivariate statistical model we propose is a compositional mixture of the food sources corrected for various metabolic factors. The compositional component of our model is based on the isometric log-ratio transform. Through this transform, we can apply a range of time series and non-parametric smoothing relationships. We illustrate our models with three case studies based on real animal dietary behaviour. Copyright (c) 2013 John Wiley & Sons, Ltd. |
英文关键词 | stable isotope analysis;mixing models;Bayesian hierarchical model;compositional data;time series |
语种 | 英语 |
WOS记录号 | WOS:000325001200004 |
来源期刊 | ENVIRONMETRICS |
来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/61638 |
作者单位 | 1.Univ Coll Dublin, Sch Math Sci Stat, Complex & Adapt Syst Lab, Dublin 2, Ireland; 2.US EPA, Western Ecol Div, Natl Hlth & Environm Effects Res Lab, Corvallis, OR USA; 3.Univ Exeter, Sch Biosci, Ctr Ecol & Conservat, Exeter, Devon, England; 4.Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA; 5.NOAA, NW Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA USA; 6.Simon Fraser Univ, Earth2Ocean Res Grp, Burnaby, BC V5A 1S6, Canada; 7.Univ Dublin Trinity Coll, Sch Nat Sci, Dublin 2, Ireland; 8.Univ London, Sch Biol & Chem Sci, London, England; 9.Univ Exeter, Sch Biosci, Environm & Sustainabil Inst, Exeter, Devon, England |
推荐引用方式 GB/T 7714 | Parnell, Andrew C.,Phillips, Donald L.,Bearhop, Stuart,et al. Bayesian stable isotope mixing models[J]. 美国环保署,2013,24(6):387-399. |
APA | Parnell, Andrew C..,Phillips, Donald L..,Bearhop, Stuart.,Semmens, Brice X..,Ward, Eric J..,...&Inger, Richard.(2013).Bayesian stable isotope mixing models.ENVIRONMETRICS,24(6),387-399. |
MLA | Parnell, Andrew C.,et al."Bayesian stable isotope mixing models".ENVIRONMETRICS 24.6(2013):387-399. |
条目包含的文件 | 条目无相关文件。 |
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