300225 PP Stream Ecology (intermediale level) (2014S)
Continuous assessment of course work
Labels
Vorbesprechung am 4.3.2014 um 10.00 Uhr im Seminarraum Limnologie. Seminare Di 10.15 bis 12 Uhr im Seminarraumn Limnologie; Freiland und Labor (Biozentrum). Eine Teilnahme an der Vorbesprechung ist trotz elektronischer Anmeldung wegen wichtiger Verlautbarungen erforderlich !
Praktischer Teil: 22.-26.9.2014 in der Biologischen Station Lunz und 29.9.-bis 3.10.2014 am Biozentrum
Praktischer Teil: 22.-26.9.2014 in der Biologischen Station Lunz und 29.9.-bis 3.10.2014 am Biozentrum
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 We 05.02.2014 08:00 to Th 20.02.2014 18:00
- Deregistration possible until Fr 28.03.2014 18:00
Details
max. 16 participants
Language: German
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Assessment and permitted materials
Attendance control, oral presentation of project outcomes, final reports at the end of the course.
Minimum requirements and assessment criteria
The participants are aware of the most important ecological principles acting in low-order streams. Students are able to perform stream reconnaissance and sample benthic algae, macrozoobenthos and drift. In addition, students are able to identify the most common benthic algal and macrozoobenthic taxa of low-order streams.
Examination topics
Introductory lectures (powerpoint presentations), guided field work at a mountain stream and guided as well as unguided data analyses in the lab. Handouts are distributed at the start of the course.
Reading list
Allan, J. David, Castillo, María M.: Stream Ecology. Structure and function of running waters. 2nd ed., Springer.
Association in the course directory
B-BOE 12, B-BOE 13
Last modified: Mo 07.09.2020 15:43
In the field, practical skills such as stream reconnaissance, hydological methodology, bed morphology and samplin methods, among others, are trained. Team work is strongly encouraged. In the lab, data are processed and important working techniques are demonstrated.