14-16 October 2025
To foster international participation, this course will be held online
This course will encompass the theory and practice of long term monitoring protocols, spanning the underlying concepts, methods, and applications. We review the theoretical aspects of the different methods (Census, Capture-Mark-Recapture, distance sampling, site occupancy and N-mixture) and will rely on a set of examples.
The course is aimed at students, researchers, practitioners and NGO workers at any career stage with an interest in building and applying long-term monitoring protocols in a reproducible and robust way. Participants should be accustomed to working with computers, have a good internet connection. Previous basic experience with R is strongly desirable, though not strictly mandatory. All R scripts will be provided and explained in detail.
By the end of this course, participants will be able to:
- Precisely define a question related to species monitoring;
- Choose an appropriate analysis method;
- develop a field protocol;
- Analyze the collected data by adaptating existing R script
Daily schedule: 09:00 am to 12:30 pm (Berlin time): live lectures and introduction to / review of the practicals
+ self-guided practicals using annotated R scripts, which will be available from day1
Day 1 – The different monitoring methods (Capture-Mark-Recapture - CMR, distance sampling, site occupancy, N-mixture) – presentation and hypotheses. We will describe in detail
the different methods for monitoring the dynamics of animal populations over the long term. We will focus on the important assumptions of each technique and see when to use them.
Day 2 – Focus on CMR and distance sampling examples : We will see through different examples using real dataset how to analyze data from CMR and distance sampling protocols. We
will in particular see how the choices made by the statistician when analyzing the data can impact the outcomes of the models.
Day 3 – Focus on site occupancy and N-mixture examples : Site occupancy and N-mixture models are particularly adapted to monitor distribution and abundance of rare and elusive
species over a large geographic range. We will see through several examples how these methods can be used and analyzed.
Cancellation Policy:
> 30 days before the start date = 30% cancellation fee
< 30 days before the start date= No Refund.
Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.