PřF:Bi5980 Statist. Eval. of Biodiversity - Course Information
Bi5980 Statistical Evaluation of BiodiversityFaculty of Science
- Extent and Intensity
- 2/0/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
- RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
- Guaranteed by
- RNDr. Jiří Jarkovský, Ph.D.
RECETOX - Faculty of Science
Contact Person: RNDr. Jiří Jarkovský, Ph.D.
Supplier department: RECETOX - Faculty of Science
- Thu 9:00–10:50 A1/609 - IBA (A1,6.p, Kamenice 3)
- Prerequisite for this course is basic knowledge on principles of statistical testing and calculating estimation. Knowledge on population biology and ecology is required.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 7 fields of study the course is directly associated with, display
- Course objectives
- The aim of the course is the introduction of specific area of biostatistical analysis - evaluation of data of biological communities using the biodiversity analysis methodology. The presented methods ranges from the simple biodiversity indices and biological communities through theoretical distributions to multivariate analysis of biological communities data.
- Learning outcomes
- At the end of the advanced course the student is able to:
- prepare dataset for analysis of biodiversity;
- visualize structure of biological communities and their biodiversity;
- describe biodiversity using biodiversity indices and their variability;
- apply species abundance models including niche oriented models;
- make decisions about correct usage of multivariate analysis of biodiversity data;
- interpret results of biodiversity analysis both from the computational and ecological point of view;
- have overview of available software for analysis of biodiversity data.
- 1. The term biodiversity. Biodiversity in graphs and data.
- 2. Biodiversity indices. Species richness, distribution of abundances in biological communities.
- 3. Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
- 4. Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
- 5. Species abundances models, their types, algorithms and graphical representation. Niche-oriented species - abundance modelling.
- 6. Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
- 7. Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
- 8. Software for analysis biodiversity data.
- 9. Case studies.
- LEGENDRE, Pierre and Louis LEGENDRE. Numerical ecology. 2nd engl. ed. Amsterdam: Elsevier, 1998. xv, 853 s. ISBN 0-444-89249-4. info
- J. H. Zar (1984). Biostatistical analysis. Prentice Hall. New Jersey.
- KREBS, Charles J. Ecological Methodology. New York: Harper Collins Publishers, 1989. 654 s. ISBN 0060437847. info
- Magurran A.E. (1988) Ecological Diversity and Its Measurement. Cambridge University Press, UK.
- Jongman, Ter Braak and Van Tongeren (1995). Data analysis in community and landscape ekology, Cambridge University Press, Cambridge
- Teaching methods
- Theoretical lectures supplemented by commented examples; students are encouraged to ask questions about discussed topics.
- Assessment methods
- The final examination is in written form and requires knowledge of principles in diversity data analysis, their prerequisites and application.
- Language of instruction
- Further Comments
- Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
- Teacher's information