Friday 2 February 2024

Incoming workshop on IPM!

Intermediate-level workshop (in person only)
Bayesian integrated population modelling (IPM) using JAGS

14 – 18 October 2024

Institute for Mediterranean Studies (IMEDEA), CSIC-UIB, Esporles, Spain (Majorca)

Michael Schaub (Population Biology Research Unit, Swiss Ornithological Institute, Sempach, Switzerland)
Marc Kéry Giacomo Tavecchia (Animal Demography and Ecology Unit, IMEDEA, CSIC-UIB, Esporles, Spain)

Bring your own laptop with latest R and JAGS

Euro 500 (Euro 300 for Mster and PhD students).
Integrated population models (IPMs) represent the powerful combination, typically around a single matrix population model, of multiple data sources that are informative about the dynamics of an animal population. Typical IPMs combine one or more time-series of counts with other data sets that are directly informative about survival probabilities, such as ring-recovery or capture-recapture, or about productivity, such as nest survey data. However, many other sources of demographic information may be envisioned instead or in addition, including age-at-death data, radio tracking data, occupancy or replicated point count data. For non-statisticians the only practical manner to develop and fit IPMs is by using BUGS software (JAGS and Nimble). This course is a practical and hands-on introduction to developing and fitting integrated population models. It is based on the new book by Schaub & Kéry, Integrated Population Models (Academic Press, 2022). Beyond IPMs, the course also provides a broad introduction for ecologists and wildlife managers to a wide variety of models fit using BUGS software.

Contents include the following topics:
1. Basic introduction:
• Hierarchical models as an overarching theme of population modelling, including IPMs
• Bayesian analysis of hierarchical models
• Introduction to BUGS software in the context of GLMs and traditional random-effects models

2. Ingredients of Integrated Population Models:
• State-space models for time-series of counts
• Cormack-Jolly-Seber models for estimating survival probabilities
• Multistate capture-recapture models for estimating survival and transition probabilities

3. Integrated Population Models (IPMs)
• Introduction to matrix population models and their analysis with BUGS
• Theory of integrated population models
• Various case studies which differ in complexity and in the data types that are combined

In this intermediate-level workshop about 80% of the time is spent on lecturing and 20% on solving exercises. No previous experience with BUGS software, or Bayesian statistics, is assumed. However, a good working knowledge of modern regression methods (linear models, GLMs) and of program R is required. Moreover, a basic understanding of capture-recapture and/or occupancy models is highly desirable.

Send your application to Michael Schaub (, with CC to Marc Kéry (; describing your background and knowledge in statistical modelling, R and JAGS/Nimble, and capture-recapture, by 30 April 2024 at the latest. Workshop invitations will be sent out immediately afterwards.

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