Presented by: Mark Hebblewhite

Population monitoring can take many different forms, and monitoring elusive and endangered species frequently involves a variety of sparse data from different sources. Small populations are often hard to sample precisely and without bias, so when estimates of vital rates like survival or recruitment point to conflicting population trends, it can be hard to determine which is more correct. Integrated Population Models (IPM) provide an applied statistical framework to reconcile different types of data together in a unified population model. IPMs help reconcile discrepancies between different data types, missed years, and often lead to increased precision in trend estimates as well. IPM models can also be used to evaluate efficiency of recovery actions. Finally, the process of developing IPMs also often improves the science of database management, sampling designs, and highlights challenging assumptions and ways of improving efficiency.

In this webinar, we highlight three case studies of the application of IPM modeling to the question of trend monitoring of threatened or endangered caribou (Rangifer tarandus caribou) in Alberta, Jasper National Park, and the Central Group of Southern Woodland caribou. All three case studies brought together dozens of biologists, managers, data scientists, and modelers to developed customized Bayesian IPM models to aid trend estimation, and reconcile differences amongst conflicting trends from different data types. In Alberta, we developed a R Shiny App (Eacker et al. Wildlife Society Bulletin) to aid Alberta caribou biologists in the data management processes to efficiently estimate caribou trends across the province using the Hatter-Bergerud R-M Equation. In Jasper National Park, we worked with Park Biologists to integrate data from data from juvenile recruitment surveys, telemetry-based survival, aerial population counts/mark-resight data, and non-invasive capture-recapture DNA data to better understand population status and trend of the South Jasper Local Population Unit. Finally, in the Central Group, we worked with local biologists and First Nations to develop IPMs for the Quintette and Klinse Za that helped test for efficacy of management and recovery actions. IPMs provide a useful, flexible tool for biologists to monitor populations and provides a valuable example of the benefits of integrated population modeling approaches for endangered species management and recovery.