2018-2019 / RAVT0001-1

Wildlife population inventory and modelling techniques

Duration

9h Th, 9h Pr

Number of credits

 Master in forests and natural areas engineering (120 ECTS)2 crédits 

Lecturer

Philippe Lejeune

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course has two distinct parts : - Presentation of the main techniques of wildlife surveys and data acquisition for the description of animals home range; - Introduction to habitat characterization and habitat suitability modeling. These two aspects are discussed with particular emphasis on the large mammalian species living in savannah.

Learning outcomes of the learning unit

At the end of the course, students should be able to:
- Understand the basic principles used in wildlife surveys techniques;
- Process data set coming from wildlife surveys (aerial counts, pedestrians surveys, abundance indices);
- Analyze georeferenced wildlife observations to characterize their home range; - Build a spatial distribution model in the case of animal species and discuss its results.

Prerequisite knowledge and skills

Basic knowledge of GIS, of Excel software and of sampling theory.

Planned learning activities and teaching methods

Lectures and seminars : 8 hours Pratical exercises : 10 hours

Mode of delivery (face-to-face ; distance-learning)

Face-to-face
Tutorials 

Recommended or required readings

References :
- Buckland S.T., Anderson D.R., Burnham K.P., Laake J.L. (1993). Distance sampling, estimating abundance of biological populations. London, Chapman & Hall, 446 p - Elith, J., Phillips, S.J., Hastie, T., Dudík, M., Chee, Y.E. & Yates, C.J. 2011. A statistical explanation of MaxEn for ecologists. Diversity and Distributions, 17, 43-57.
- Hirzel, A. H., Hausser J., Chessel D. & Perrin N. 2002. Ecological- Niche Factor Analysis : How to Computer Habitat- Suitability Maps without Absence Data ? Ecology, 83(7), 2027-2036.
- Khül et al. (2008) Lignes directrices pour de meilleures pratiques en matière d'inventaire et de suivi des populations de grands singes. Document occasionnel de la Commission de sauvegarde des espèces de l'UICN, 40p.
- Northon-Griffiths, M. Counting Animals. African Wildlife Ecology Handbook Series, No. 1. 1978.
- Pearson, R.G. (2007). "Species' distribution modeling for conservation educators and practitioners". Synthesis. American Museum of Natural History. 2007 (1): 1-50. - Schwarz C.J. and A.F. George (1999). Estimating Animal Abundance: Review III. Statistical Science, Vol. 14, No. 4, 427-456.

Assessment methods and criteria

Open book examniation

Work placement(s)

Organizational remarks

The course material and the data sets are provided to the students through eCampus

Contacts

Philippe Lejeune
p.lejeune@ulg.ac.be

081/622296