300097 UE Ecosystem and Biogeochemistry Laboratory - Techniques in Aquatic Ecology (2022S)
Continuous assessment of course work
Labels
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 10.02.2022 08:00 to Th 24.02.2022 18:00
- Deregistration possible until Th 31.03.2022 18:00
Details
max. 10 participants
Language: English
Lecturers
- Christian Griebler
- Federico Baltar Gonzalez
- Gerhard Herndl
- Hubert Keckeis
- Hubert Kraill
- Patrick Leitner
- Robert Ptacnik
- Grit Rasch
- Thomas Reinthaler
- Anna-Maria Salgado Gschwandner
- Christian Winter
Classes
The course will be held from 5th to 16th of September 2022.
We meet Mo 5th Sept. at UBB, 3rd floor, seminar room 3.1.
Information
Aims, contents and method of the course
Assessment and permitted materials
An active participation and a course protocol will be the basis for the grading.
Minimum requirements and assessment criteria
Attendance of other lectures and courses related to 'ecology' are advantageous but not mandatory
Examination topics
There will be slides from the short morning lectures and handouts for the practical work. However, taking additionally your own notes during the course will be necessary.
Reading list
Association in the course directory
MEC-7
Last modified: Tu 06.02.2024 00:23
The course consists of 10 working days (2 weeks). Day 1 and 2 is dedicated to sampling techniques, and after a short morning lecture, we will go to the field and collect samples from running water and groundwater. Day 3 and 4 are dedicated to the analyses of water chemistry (nutrients, organic matter, ...). Days 5 to 7 will deal with the determination of the abundance and biomass of aquatic organisms, from viruses to bacteria, from zooplankton to phytoplankton. On days 8 and 9, we will tackle the activity and ecophysiology of selected groups of organisms (primary production, respiration, enzyme activities, ...). Day 10 will be dedicated to reviewing what has been achieved. Students will have time for final data analysis and compilation. The overall outcome of the course will be highlighted by students presentations.