| Course Unit Code | 546-0416/02 |
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| Number of ECTS Credits Allocated | 3 ECTS credits |
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| Type of Course Unit * | Choice-compulsory type B |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| KRE71 | Ing. Hana Švehláková, Ph.D. |
| Summary |
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Classification of vegetation. Plant community - signs and spatial
determination. Importance of vegetation for landscape and habitat evaluation. |
| Learning Outcomes of the Course Unit |
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| 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. |
| Course Contents |
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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 |
| Recommended or Required Reading |
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| Required Reading: |
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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. |
CHYTRÝ, M., T. KUČERA a M. KOČÍ. Katalog biotopů České republiky. Praha: Agentura ochrany přírody a krajiny, 2010. ISBN 978-80-87457-02-3
KOPECkÝ, K., HEJNÝ, S. Ruderální společenstva bylin České republiky. Stud. Českoslov. Akad. Věd 1992/1: 1–128.
KOVÁŘ, P. Geobotanika - úvod do ekologické botaniky. Praha: Karolinum, 2002. ISBN 80-246-0359-4
TICHÝ, L. a J. HOLT. Juice Program for Management, Analysis and Classification of Ecological Data. Brno: http://www.sci.muni.cz/botany/juice, 2006 |
| Recommended Reading: |
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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. |
NEUHÄUSLOVÁ Z., MORAVEC J., CHYTRÝ M., SÁDLO J., RYBNÍČEK K., KOLBEK J., JIRÁSEK J. Mapa potenciální přirozené vegetace České republiky 1 : 500 000. 1997. Botanický ústav AV ČR, Průhonice.
NEUHÄUSLOVÁ Z., BLAŽKOVÁ D., GRULICH V., HUSOVÁ M., CHYTRÝ M., JENÍK J., JIRÁSEK J., KOLBEK J., KROPÁČ Z., LOŽEK V., MORAVEC J., PRACH K., RYBNÍČEK K., RYBNÍČKOVÁ E. , SÁDLO J. Mapa potenciální přirozené vegetace České republiky. Textová část. Academia, Praha.
HAGGERTY, B. P. A S. J. MAZER. The Phenology Handbook. Santa Barbara: University of California, 2008. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Terrain work |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Graded exercises evaluation | Graded credit | 100 (100) | 51 |
| klasifikovaný zápočet | Other task type | 100 | 51 |