Analyzing mixing systems using a new generation of Bayesian tracer mixing models

• Published in: PeerJ (San Francisco, CA) Vol. 6; p. e5096
• Main Authors: Stock, Brian C., Jackson, Andrew L., Ward, Eric J., Parnell, Andrew C., Phillips, Donald L., Semmens, Brice X.
• Format: Journal Article
• Language: English
• Published: United States PeerJ, Inc 21.06.2018; PeerJ Inc
• Subjects: Alligator mississippiensis; Bayesian analysis; Bayesian statistics; Computer programs; Conservation Biology; Ecology; Ecosystem Science; Fatty acids; Fisheries; Mathematical models; Mixing models; MixSIR; Oceanography; Researchers; Science; Software; Soil Science; Stable isotopes; Statistics; Trophic ecology; Zoology; United States > US; Ireland; SIAR; MixSIR; Bayesian statistics; Stable isotopes; Mixing models; Trophic ecology; Fatty acids

The ongoing evolution of tracer mixing models has resulted in a confusing array of software tools that differ in terms of data inputs, model assumptions, and associated analytic products. Here we introduce MixSIAR, an inclusive, rich, and flexible Bayesian tracer (e.g., stable isotope) mixing model...