546-0416/02 – Phytocoenology (FytB)
Gurantor department | Department of Environmental Engineering | Credits | 3 |
Subject guarantor | Ing. Hana Švehláková, Ph.D. | Subject version guarantor | Ing. Hana Švehláková, Ph.D. |
Study level | undergraduate or graduate | Requirement | Choice-compulsory |
Year | 2 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2009/2010 | Year of cancellation | |
Intended for the faculties | HGF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Students will gain knowledge about the composition, interrelationships, methods and classification of plant communities. They will learn to work in basic software environments used in the processing of phytosociological data (TURBOVEG, JUICE, R-project, CANOCO 5). Theoretical knowledge will be practiced and verified in field exercises.
Teaching methods
Lectures
Tutorials
Terrain work
Summary
Classification of vegetation. Plant community - signs and spatial
determination. Importance of vegetation for landscape and habitat evaluation.
Compulsory literature:
TICHÝ, L. Holt, J.(2006): Juice program for management, analysis and classification of ecological data. Brno: http://www.sci.muni.cz/botany/juice, 2006. 98 pp.
Chytrý M., Rafajová M. (2003): Czech National Phytosociological Database: basic statistics of the available vegetation-plot data. Preslia 75: 1–15.
TeerBRAAK, C. J. F., ŠMILAUER, P. (2012): CANOCO 5. Reference manual and user’s guide to Canoco for Windows: Software for Ordination. Microcomputer Power, Ithaca, New York, USA. 496 pp.
Recommended literature:
DIERSCHKE H.: Pflanzensoziologie (Grundlagen und Methoden). - Verlag Eugen Ulmer, Stuttgart 1994.
BRAUN –BLANQUET, J. (1964) : Pflanzensoziologie: Grundzüge der Vegetationskunde. 3. neubearb. und wesentlich vermehrte Aufl. Wien: Apringer-Verlag. 631 stran.
Way of continuous check of knowledge in the course of semester
Elaboration of partial control projects from supplied phytosociological dataset (computational exercises).
Phytosociological work in field conditions, processing of obtained data.
E-learning
Other requirements
participation in exercises
field exercises, data evaluation
credit test
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Phytosociology - characteristics of the research field, links to other scientific areas
2. Classification of vegetation. Phytocoenosis, its main features and spatial delimitation.
3. Main directions and approaches in vegetation classification.
4. Basic principles of the Central European School of Phytosociology.
5. Phytosociological data processing - basic orientation in TURBOVEG
6. Phytosociological data processing - basic orientation in the JUICE
7. Principles of field work, field experiments, selection, number, size, location of plots (reléves)
8. Recording of reléves
9. Synthesis of reléves
10. Methods of calculating frequency, stability, fidelity
11. Methods of calculating the diversity of plant communities
12. Methods of calculating the similarity of plant communities
13. Multicriteria analysis of phytosociological data - basic orientation in R project and CANOCO 5
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction