Stable Isotope Mixing Models using SIAR, SIBER and MixSIAR (SIMM03)
Delivered by Dr. Andrew Parnell and Dr. Andrew Jackson
This 4 day course will run from 28th -3rd March 2017 at Millport field
centre, Isle of Cumbrae, Scotland (please note that although the filed
centre in on an island it is extremely easy and uncomplicated to reach
by public transport form both within and outside the UK)
(PLEASE NOT THIS COURSE IS FOLLOWED BY 'NETWORK ANALYSIS OF ECOLOGICAL
DATA USING R – this course concentrates a lot of food webs and
therefore may also be of interest. (A COMBINED COURSE PACKAGE IS
This course will cover the concepts, technical background and use of
stable isotope mixing models (SIMMs) with a particular focus on running
them in R. This course will cover the concepts, technical background and
use of stable isotope mixing models (SIMMs) with a particular focus on
running them in R. Recently SIMMs have become a very popular tool for
quantifying food webs and thus the diet of predators and prey in an
Starting with only basic understanding of statistical models, we will
cover the do’s and don’ts of using SIMMs with a particular focus on
the widely used package SIAR and the new, more advanced MixSIAR.
Participants will be taught some of the advanced features of these
packages, which will enable them to produce a richer class of output,
and are encouraged to bring their own data sets and problems to study
during the round-table discussions.
Course content is as follows
Tuesday 28th – Classes from 09:00 to 17:00
Module 1: Introduction; why use a SIMM?
Module 2: An introduction to bayesian statistics.
Module 3: Differences between regression models and SIMMs.
Practical: Revision on using R to load data, create plots and fit
Round table discussion: Understanding the output from a Bayesian model.
Wednesday 1st – Classes from 09:00 to 17:00
Understanding and using SIAR.
Module 4: Do’s and Don’ts of using SIAR.
Module 5: The statistical model behind SIAR.
Practical: Using SIAR for real-world data sets; reporting output;
creating richer summaries and plots.
Round table discussion: Issues when using simple SIMMs.
Thursday 2nd – Classes from 09:00 to 17:00
SIBER and MixSIAR.
Module 6: Creating and understanding Stable Isotope Bayesian Ellipses
Module 7: What are the differences between SIAR and MixSIAR?
Practical: Using MixSIAR on real world data sets; benefits over SIAR.
Round table discussion: When to use which type of SIMM.
Friday 3rd – Classes from 09:00 to 17:00
Module 8: Using MixSIAR for complex data sets: time series and mixed
Module 9: Source grouping: when and how?
Module 10: Building your own SIMM with JAGS.
Practical: Running advanced SIMMs with JAGS.
Round table discussion: Bring your own data set.
Please email any inquiries to [hidden email] or visit our
Please feel free to distribute this material anywhere you feel is
Upcoming courses - email for details [hidden email]
1. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January
2. ADVANCED PYTHON FOR BIOLOGISTS (February 2017) #APYB
3. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R
(February 2017) #SIMM
4. NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March 2017) #NTWA
5. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA (April
6. INTRODUCTION TO STATISTICS AND R FOR BIOLOGISTS (April 2017) #IRFB
7. ADVANCING IN STATISTICAL MODELLING USING R (April 2017) #ADVR
8. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (May 2017) #IBHM
9. GEOMETRIC MORPHOMETRICS USING R (June 2017) #GMMR
10. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA (June 2017) #MASE
11. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 (#TSME)
12. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS (July 2017) #BIGB
13. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (August 2017) #SPAE
14. ECOLOGICAL NICHE MODELLING (October 2017) #ENMR
15. INTRODUCTION TO BIOINFORMATICS USING LINUX (October 2017) #IBUL
16. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS
(November 2017) #ABME
17. INTRODUCTION TO METHODS FOR REMOTE SENSING (November 2017) #IRMS
18. INTRODUCTION TO PYTHON FOR BIOLOGISTS (November 2017) #IPYB
19. DATA VISUALISATION AND MANIPULATION USING PYTHON (December 2017)
20. ADVANCING IN STATISTICAL MODELLING USING R (December 2017) #ADVR
21. GENETIC DATA ANALYSIS USING R (October TBC)
22. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (November TBC)
23. PHYLOGENETIC DATA ANALYSIS USING R (November TBC)
24. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY
Oliver Hooker PhD.
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