Bi9529 Methods of field phycology

Faculty of Science
Spring 2014
Extent and Intensity
2/4. 6 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
Teacher(s)
Mgr. Barbora Hutňan Chattová, Ph.D. (lecturer)
Guaranteed by
Mgr. Barbora Hutňan Chattová, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: Mgr. Barbora Hutňan Chattová, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites
Bi1090 Phylog. & diver. algae & fungi ||SOUHLAS
To pass System and evolution of lower plants Course (Bi1090) or to give the tutorial assent.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The lectures can be given in English. That course continues from the winter semester. The main attention will be paid to the evolution, morphology, ultrastructure, systematic position, biodiversity, biogeography, biotechnology. Many species from the living specimens, cultures or preserved material will be demonstrated in the laboratories. Field excursion at interesting algological localities following with the determination of natural samples and processing ecological data using multivariate statistical programmes. It includes both the processing of results and the participation of students on the publishing of data. Basic methods for studying different members of blue-green algae and algae. Preparation of culture media. Material and data sampling, storing and evaluating, dying methods, material documentation, computational phycology.
Syllabus
  • 1. Field research. 2. Taking of samples, the possibilities of preliminary identification of algae and cyanobacteria in the field. 3. Measuring of principle ecological parameters. 4. The evaluation of natural samples. 5. Species determination, processing of samples for biodiversity and ecology research. 6. Statistical processing and interpretation of data using multivariate methods. 7. The preparation of results for scientific publication. 8. Internet databases. 9. Image processing computer programmes, 3D visualisation of objects. 10. Taxonomy in phycology - phenetical and cladistic methods, basic computer programmes.
Literature
  • Komárek J. & Anagnostidis K. (1986, 1989): Modern approach to the classification system of cyanophytes 2, 4. Algolog. Studies, Stuttgart.
  • Fogg G. E. & al. (1973): The blue-green algae. Academic Press, London, New York.
  • Graham L. E. & Wilcox L. W. (2000): Algae. Prentice Hall Inc.
  • Dryden, I.L. & Mardia, K.V. (1998): Statistical shape analysis. - John Wiley & Sons, New York.
  • Fay P. & Van Baalen C. (ed. ) (1987): The Cyanobacteria. Elsevier, Amsterdam, New York, Oxford.
  • Bryant D. A. (ed. ) (1994): The molecular biology of cyanobacteria. Kluwer Acad. Publ.
  • Carr N. G. & Whitton B. A. (ed. ) (1982): The biology of cyanobacteria. Blackwell Sci. Publ.
  • Carr N. G. & Whitton B. A. (ed. ) (1973): The biology of blue-green algae. Blackwell Sci. Publ.
  • Anagnostidis K. & Komárek J. (1985, 1988, 1990): Modern approach to the classification system of cyanophytes 1, 3, 5. Algolog. Studies, Stuttgart.
  • Whitton B. A. & Potts M. (ed. ) (1999): The ecology of cyanobacteria. Kluwer Acad. Publ.
Teaching methods
lectures, field excursion,
Assessment methods
Oral or written examination.
Language of instruction
Czech
Further Comments
Course is no more offered.
The course is taught: every week.
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2014, recent)
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