Webinar - Tag loss integration into mark-recapture modelling
Heloíse Pavanato
Dear colleagues,
This free webinar might be of interest to some of you.
Best regards,
Heloise
Webinar -Tag loss integration into mark-recapture modelling – a simple example
June 2024
Webinar URL
Details
Tag loss integration into mark-recapture modelling – a simple example.
Abstract
In mark-recapture studies, tag loss results in the permanent loss of otherwise detectable individuals. This is known to commonly occur in mark-recapture studies and can cause biased estimates of, for example, recapture, survival, and population size. Therefore, several approaches have been developed to account for tag loss in mark-recapture models. In this webinar, Stefan provides an introduction mark-recapture modelling with tag loss and demonstrates how to implement a simple tag loss model into a Bayesian state-space modelling framework. This webinar will be a great opportunity for those starting to learn mark-recapture modelling (especially in a Bayesian context) or wanting to expand their modelling skills to customize their models to account for tag loss.
About the speaker
Stefan has a background in quantitative ecology. Originally from Germany, Stefan graduated with a zoology PhD at the University of Otago in 2016, studying the population dynamics of New Zealand sea lions. He has extensive experience in applying quantitative methods, such as Bayesian statistics and state-space modelling, to wildlife population and fisheries data. Further, Stefan specializes in the development of Shiny Apps aiming to streamline statistical data analysis and making statistical models accessible to non-specialists. He has been principal investigator on various fisheries modeling projects contracted by the Ministry for Primary Industries, New Zealand. Currently, Stefan is a Quantitative Ecologist at Proteus, a New Zealand-based statistical consulting company that specialises in ecological and wildlife applications, with clients all around the world.