Duration
9h Th, 9h Pr
Number of credits
| Master in forests and natural areas engineering, professional focus | 2 crédits |
Lecturer
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course consists of several parts:
- Introduction to wildlife monitoring methods and technologies;
- Camera traps;
- Bioacoustics;
- Census methods;
- Telemetry (home range, animal movement, and habitat selection)
Learning outcomes of the learning unit
By the end of the course, students should be able to:
- Select the appropriate survey methods for a given context and develop an operational protocol;
- Understand and apply the principles of using camera traps for wildlife monitoring;
- Understand and apply the principles of using bioacoustics for wildlife monitoring;
- Understand the basic principles involved in animal population census techniques;
- Process data related to animal population censuses (aerial censuses, ground-based censuses, calculation of abundance indices);
- Analyze data from animal geolocation tracking to characterize their habitat use.
Prerequisite knowledge and skills
- Advanced proficiency in GIS tools and the R programming language is ESSENTIAL;
- Proficiency in statistical concepts (sampling theory).
Planned learning activities and teaching methods
- Lectures: 9 hours
- Practical exercises: 9 hours
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Further information:
Face-to-face
Tutorials
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Further information:
Course materials (theory and exercise datasets) are available to students on eCampus.
For further reading: Wich, S. A., & Piel, A. K. (Eds.). (2021). Conservation technology. Oxford University Press.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Further information:
Open-book exam, without internet access
Work placement(s)
Organisational remarks and main changes to the course
The course structure has been revised to reduce the expected workload for students (by reducing the number of assigned exercises); the prerequisites regarding the R programming language are clearly specified on the course online page; and more time is devoted to group exercises conducted in class.
Contacts
Philippe Lejeune (p.lejeune@uliege.be, 081 62 22 96)
Simon Lhoest (simon.lhoest@uliege.be, 081 62 23 93)