Develop practical skills in stable isotope mixing model analysis with our live online training course *Stable Isotope Mixing Models Using SIBER, SIAR & MixSIAR (SIMM12)*.
https://prstats.org/course/stable-isotope-mixing-models-using-siber-siar-mixsiar-simm12/ Stable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMM12) Stable Isotope Mixing Models in R is an applied course teaching ecologists how to use SIBER, SIAR, and MixSIAR for dietary analysis. This hands-on course introduces the theory and implementation of mixing models for ecological and biogeochemical data. Participants will learn how to use widely used R packages — including *SIBER*, *SIAR*, and *MixSIAR* — to quantify the contributions of multiple sources to consumer isotopic signatures, account for uncertainty, and interpret results in an applied context. Instructors - Prof Andrew Parnell and Prof Andrew Jackson Key topics include: - Fundamentals of stable isotope ecology and mixing model principles - Preparing and structuring isotope datasets for analysis - Running and comparing SIBER, SIAR, and MixSIAR models - Assessing model assumptions, diagnostics, and uncertainty - Interpreting outputs for ecological and environmental applications The course is delivered live online, with recordings available after the event. All participants receive code, example data, and access to post-course support. *Course details* Dates: 14–15 May 2026 Format: Live online Duration: 2 days Fee: £275 This course is ideal for researchers, postgraduate students, and professionals in ecology, conservation, fisheries science, biogeochemistry, and related fields who want to apply mixing models with confidence and clarity. Full details and registration are available here: https://prstats.org/course/stable-isotope-mixing-models-using-siber-siar-mixsiar-simm12/ Email [email protected] with any questions -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
