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Source Partitioning Using Stable Isotopes: Coping with Too Much Variation

PLoS ONE · 2010 · Vol. 5(3) · pp. e9672–e9672
Andrew ParnellRichard IngerStuart BearhopAndrew L. Jackson

Abstract

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.

Isotope Analysis in EcologyMass Spectrometry Techniques and ApplicationsAdvanced Chemical Sensor TechnologiesSuiteStable isotope ratioBayesian probabilityComputer scienceVariation (astronomy)Isotope analysisMixing (physics)Data scienceEconometricsEcology

MeSH terms

AlgorithmsBayes TheoremBiologyEcologyEnvironmental MonitoringIsotopesMarkov ChainsModels, TheoreticalModels, Statistical

Funding

  • Sight Research UK
  • Natural Environment Research Council
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