Universität Wien

300008 UE Species distribution modelling (2022S)

data analysis and modelling

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 16 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

preliminary talk 3. Mar. 2022 11:00; online

  • Monday 14.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Tuesday 15.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Wednesday 16.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Thursday 17.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
  • Friday 18.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

Information

Aims, contents and method of the course

The course will introduce to so-called species distribution modelling (habitat distribution modelling, niche-based modelling), i.e. the statistical derivation of species' niches from their geographical distribution and the use of the models to project real-word distribution of species in space and time.
The course will combine introductory lectures with pratical work. Practical work will include all main steps from data preparation, model parameterization & evaluation to projection, mapping and analysis of projection results. All practical work will be done in R.

Assessment and permitted materials

Participants will work in groups of two. Each group will have its own 'project' including the full sequence of modelling, projection and analysis work. Evaluation will be based on work during the course and on a final 15-min presentation of the groups' results.

Minimum requirements and assessment criteria

The course requires at least basic familiarity with R.

Examination topics

Positive evaluation requires regular presence, active work during the course and doing at least part of the final presentation.

Reading list

Guisan A. & Zimmermann N. E. 2000: Predictive habitat distribution models in ecology. Ecological Modelling 135: 147- 86.

Guisan, A. & Thuiller, W. 2005: Predicting species distributions: offering more than simple habitat models. Ecology Letters 8: 993-1009.

Thuiller, W. et al. 2009: BIOMOD - A platform for ensemble forecasting of species distributions. Ecography: 32, 369-373.

Franklin, J. 2010: Mapping species distributions. Cambridge University Press.

Guisan, A., Thuiller, W. & Zimmermann, N.E. 2017: Habitat suitability and distribution models. Cambridge University Press.

Association in the course directory

MEC-6, MBO 7, MNB2

Last modified: Th 03.03.2022 15:49