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Source partitioning using stable isotopes: coping with too much variation

Parnell, Andrew C ; Inger, Richard ; Bearhop, Stuart ; Jackson, Andrew L Rands, Sean

PloS one, 2010-03, Vol.5 (3), p.e9672 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Source partitioning using stable isotopes: coping with too much variation
Autor: Parnell, Andrew C ; Inger, Richard ; Bearhop, Stuart ; Jackson, Andrew L
Rands, Sean
Assuntos: Algorithms ; Bayes Theorem ; Bayesian analysis ; Biology - methods ; Diet ; Ecological monitoring ; Ecology ; Ecology - methods ; Ecology/Community Ecology and Biodiversity ; Ecology/Population Ecology ; Ecology/Theoretical Ecology ; Environmental Monitoring - methods ; Isotopes ; Isotopes - chemistry ; Markov Chains ; Mathematical models ; Models, Statistical ; Models, Theoretical ; Stable isotopes
É parte de: PloS one, 2010-03, Vol.5 (3), p.e9672
Notas: Conceived and designed the experiments: ACP RI SB ALJ. Performed the experiments: ACP. Analyzed the data: ACP ALJ. Contributed reagents/materials/analysis tools: ACP ALJ. Wrote the paper: ACP RI SB ALJ.
Descrição: Stable isotope analysis is increasingly being utilised across broad areas of ecology and biology. Key to much of this work is the use of mixing models to estimate the proportion of sources contributing to a mixture such as in diet estimation. By accurately reflecting natural variation and uncertainty to generate robust probability estimates of source proportions, the application of Bayesian methods to stable isotope mixing models promises to enable researchers to address an array of new questions, and approach current questions with greater insight and honesty. We outline a framework that builds on recently published Bayesian isotopic mixing models and present a new open source R package, SIAR. The formulation in R will allow for continued and rapid development of this core model into an all-encompassing single analysis suite for stable isotope research.
Editor: United States: Public Library of Science
Idioma: Inglês

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Source partitioning using stable isotopes: coping with too much variation

Parnell, Andrew C ; Inger, Richard ; Bearhop, Stuart ; Jackson, Andrew L Rands, Sean

United States: Public Library of Science

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