Integrated Population Models

This course provides a thorough introduction to integrated population models, i.e. population dynamics models in which the parameters are estimated using two or more datasets. We show how to use Bayesian methods to fit a wide variety of models, using the JAGS software in R. We show how to construct both the population model and the observation model needed for each dataset. Participants will learn how to fit population models to real-world data, via case studies that include data on counts, productivity, mark-recapture, dead-recoveries, and radio-tracking. There is also an emphasis on both model-checking and model comparison to aid model development and refinement.

Spring: March 2 – May 24, 2026 (Early bird* ends February 1)

Summer: Jun 1 – Sept 6, 2026 (Early bird ends May 3)

*Early bird saves $75 Standard, $85 for Premium

Experience in fitting Bayesian models in R, as provided by the CWS courses Introduction to Bayesian Modeling and Bayesian Hierarchical Modeling. A basic understanding of population ecology will be assumed.

We will make extensive use of the following book, which is highly recommended as background reading:

Schaub M & Kéry M (2021) Integrated Population Models: Theory and Ecological Applications with R and JAGS. Academic Press.

By the end of this course, learners will be able to:

• Explain and apply concepts and techniques used to fit an integrated population model (IPM) in the Bayesian framework

• Evaluate assumptions and model fit for Bayesian IPMs

• Compare the fit of two or more Bayesian IPMs using WAIC weights

• Assess the key components to fitting a Bayesian IPM in R using JAGS

• Fit a Bayesian IPM to different types of data, including counts, productivity, and mark-recapture data

• Fit a Bayesian IPM to estimate different types of demographic parameter, including survival, productivity, immigration, and dispersal

• Fit a Bayesian IPM in which one of more of demographic parameter is specified as a random effect

• Fit a Bayesian state-space model to mark-recapture data

Module 1: Introduction to Integrated Population Models

Module 2: Woodchat Shrike Case Study

Module 3: Black Grouse Case Study

Module 4: Peregrine Falcon Case Study

Module 5: Elk Case Study 

Module 6: Cormorant Case Study

Module 7: State-Space Models

Module 8: Overview and Review of the Course

FORMAT:

3 months of access to course materials as you work at your own pace 

Get instructor support for the 3-month term via email, discussion threads, group meetings, and one-on-one appointments

After working through the course materials, set up an optional meeting with the instructor to discuss your own personal project from work or school

CONTINUING EDUCATION:

16 CEUs with The Wildlife Society

CERTIFICATIONS:

Earn 1 credit toward certification as an Associate/Certified Wildlife Biologist® (at any level) with The Wildlife Society

FORMAT:

12 months of access to course materials as you work at your own pace 

Get instructor support for the 3-month term via email, discussion threads, group meetings, and one-on-one appointments

After working through the course materials, set up an optional meeting with the instructor to discuss your own personal project from work or school

CONTINUING EDUCATION:

16 CEUs with The Wildlife Society

Go to our Continuing Education Page for more details

CERTIFICATIONS:

Earn 1 credit towards a professional certificate in Applied Quantitative Ecology with CWS

Earn 1 credit toward certification as an Associate/Certified Wildlife Biologist® (at any level) with The Wildlife Society

ACADEMIC CREDIT:

Earn 1 academic credit (go to our Academic Credit Page for details)

Earn an additional 1-2 academic credits with an Applied Project