Universität Wien FIND
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300149 UE Species distribution modelling (2017S)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Prüfungsimmanente Lehrveranstaltung


max. 15 Teilnehmer*innen
Sprache: Englisch


Termine (iCal) - nächster Termin ist mit N markiert

Blocked: 27/03 - 31/03/2017, Seminar room, Dept. of Botany and Biodiversity Research, Rennweg 14, 1030 Vienna. Preliminary meeting: 02/03, 15.00.

Donnerstag 02.03. 15:00 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Montag 27.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Dienstag 28.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Mittwoch 29.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Donnerstag 30.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Freitag 31.03. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Samstag 01.04. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG


Ziele, Inhalte und Methode der Lehrveranstaltung

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. 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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Mindestanforderungen und Beurteilungsmaßstab

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.



Janet Franklin (2010): Mapping Species Distributions: Spatial Inference and Prediction. Cambridge University Press.

Zuordnung im Vorlesungsverzeichnis


Letzte Änderung: Fr 31.08.2018 08:56