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 4 distinct parts:
- A general introduction to wildlife monitoring methods;
- A presentation of the main animal population survey techniques;
- An introduction to telemetry tehniques applied to wildlife monitoring (home range and animal movement);
- An introduction to the use of camera traps.
Learning outcomes of the learning unit
At the end of the course, students should be able to:
- Understand the basic principles involved in wildlife survey techniques;
- Process data from wildlife surveys (aerial surveys, terrestrial surveys, abundance indices);
- Analyze georeferenced wildlife observations to characterize habitat use;
- Correclty choose monitoring methods appropriate to the context encountered.
Prerequisite knowledge and skills
Advanced knowledge of GIS tools and the R programming language is needed, as is the mastery of statistical concepts (sampling theory).
Planned learning activities and teaching methods
Lectures and seminars: 6 hours
Pratical exercises: 12 hours
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Face-to-face
Tutorials
Course materials and recommended or required readings
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 )
Additional information:
Open book examniation
Work placement(s)
Organisational remarks and main changes to the course
The course material and the data sets are provided to the students through eCampus
Contacts
Philippe Lejeune (p.lejeune@uliege.be, 081 62 22 96)
Simon Lhoest (simon.lhoest@uliege.be, 081 62 23 93)