Universität Wien

300387 UE Biodiversity of Stream Ecosystems (2017S)

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

Vorbesprechung am 07.03.2017 um 11:15 Uhr im ÜR6.

Blockkurs 26.06.2016-30.6.2017 von 9-17 Uhr im Biozentrum, ÜR2

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine

Preparatory meeting: 7 March 2017, 11:15, ÜR6.
Course: 26-30 June 2017, ÜR2

Further information for studying Limnology within the master's programme "Ecology and Ecosystems" can be obtained from: http://limbo.univie.ac.at/LimboMsc.htm


Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This field course focusses on biodiversity of stream ecosystems, with a typical
low-order sandstone stream of the Wienerwald area providing a well-studied model collecting site. The course provides introductury lectures on stream ecology, taxonomy and the use of data processing software (ecoprof package) as a preparation for field work. In the field, practical skills such as basic stream reconnaissance and multi-habitat sampling are trained. In the lab, the training focusses on identification skills of MZB taxa, data processing (e.g., ecometrics, biodiversity indices), and presentation skills.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Attendance control, oral presentation of project outcomes, written protocol.

Mindestanforderungen und Beurteilungsmaßstab

The participants are aware of the most important ecological principles and macrozoobenthic taxa of low-order streams. Students are able to perform stream reconnaissance and representatively sample macrozoobenthos. In addition, students are able to identify the most common macrozoobenthic taxa and to caluculate ecometric and biodiversity descriptors.

Prüfungsstoff

Introductory lectures (powerpoint presentations), guided field work at a sandstone stream and guided sample proceeding and data analyses in the lab. Handouts are distributed at the start of the course.

Literatur


Zuordnung im Vorlesungsverzeichnis

MEC-9, MZO W-2

Letzte Änderung: Mo 07.09.2020 15:43