300149 UE Species distribution modelling (2016S)
Continuous assessment of course work
Labels
blocked from 18 to 22/04/2016; first meeting: 03/03, 15.00, Seminarraum des Dept. f. Botanik und Biodiversitätsforschung, Rennweg 14
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).
- Registration is open from Th 04.02.2016 08:00 to Th 18.02.2016 18:00
- Deregistration possible until Th 31.03.2016 18:00
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
blocked from 18 to 22/04/2016; first meeting: 03/03, 15.00, Seminarraum des Dept. f. Botanik und Biodiversitätsforschung, Rennweg 14
- Thursday 03.03. 15:00 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 18.04. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Tuesday 19.04. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Wednesday 20.04. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Thursday 21.04. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Friday 22.04. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Information
Aims, contents and method of the course
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 basic familiarity with R and ArcGIS (or equivalent software). As there will be groups of two, knowledge of partners may be complementary, meaning that in each team of two persons at least one should have experience with R and the other one with GIS-software.Positive evaluation requires regular presence, active work during the course and doing at least part of the final presentation.
Examination topics
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.Franklin, J. 2014: Mapping species distributions. Cambridge University Press.
Association in the course directory
MEC-5, MBO 7, B-WZB, WZB
Last modified: Mo 07.09.2020 15:43
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. Practical work will be organized around a central theme which, in this year, will be the usefuleness of Austrian national parks to conserve a set of selected plant and insect species under climate warming. All practical work will be done in R, with additional use of ArcGIS for some issues.