Course: Phytosociology

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Course title Phytosociology
Course code BOT/FTCSB
Organizational form of instruction Lecture
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory, Compulsory-optional, Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
  • Hédl Radim, Mgr. MgA. Ph.D.
  • Duchoslav Martin, RNDr. Ph.D.
Course content
The methodology of the Zurich-Montpellier (= Braun-Blanquet) floristic-phytosociological school. Main vegetation units of the classification system and their characterization (with an emphasis to the association). International Code of Phytosociological Nomenclature. Vegetation data collection by means of vegetation relevés. Some exploitation options of vegetation sampling in a biological monitoring within protected territories. A tabular method for treatment of relevés (vegetation synthesis). Vegetation maps and their application in applied research.

Learning activities and teaching methods
Lecture, Projection (static, dynamic)
  • Homework for Teaching - 1 hour per semester
  • Preparation for the Course Credit - 5 hours per semester
  • Preparation for the Exam - 10 hours per semester
  • Semestral Work - 3 hours per semester
Learning outcomes
Introduction to the vegetation science. Characteristics of the plant community (phytocoenosis). Principal approaches into vegetation classification.
Student should be able to (after attending the course): - Describe the Plant communities, their structure, species diversity changes in space and time, and geographic pattern. - Describe main research tools and methods in Vegetation Science (Advantages and limitations). Systemic approach. - Explain main classification approaches, describe the principles of Zürich-Montpellier classification. - Describe theoretical background of Vegetation releves, Vegatation tables, analysis of data, classification of vegetation according to International Codes of Vegetation Nomenclature. - Apply vegetation research in praxis, vegetation mapping, bio-monitoring.
- willingness of generating and testing ecological hypothesis - general overview about plant ecology - knowledge of handling data in spreadsheet (MS Excel) - knowledge of basic statistical techniques and data handling in statistical software (e.g. Statistica, Canoco, Juice) - own laptop

Assessment methods and criteria
Mark, Oral exam

knowledge in extent of the lectures
Recommended literature
  • Dierschke, H. (1994). Pflanzensoziologie (Grundlagen und Methoden). Verlag Eugen Ulmer, Stuttgart.
  • Kent, M. & Coker, P. (1992). Vegetation Description and Analysis (A Practical Approach). Belhaven Press, London.
  • Kovář, P. (2002). Geobotanika (ekologická botanika). Skriptum UK, Karolinum, Praha.
  • Maarel, E. van der. (2005). Vegetation Ecology. Blackwell Publishing, Malden, Oxford and Carlton.
  • Moravec et al. (1994). Fytocenologie. Academia, Praha.
  • Rabotnov, T. A. (1995). Phytozönologie ( Struktur und Dynamik natürlicher Ökosysteme). Verlag Eugen Ulmer, Stuttgart.

Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Science Zoology (2015) Biology courses 1 Winter