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300006 UE Species distribution modelling (2020S)

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

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

Friday 06.03. 15:00 - 16:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 25.05. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday 26.05. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday 27.05. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Thursday 28.05. 09:00 - 17:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Friday 29.05. 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 basic familiarity with R. As there will be groups of two, knowledge of partners may be complementary.
Positive evaluation requires regular presence, active work during the course and doing at least part of the final presentation.

Examination topics

Reading list


Association in the course directory

MEC-6, MBO 7

Last modified: Mo 07.09.2020 15:21