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). Type of Completion: k (colloquium).
- prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Simona Littnerová, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX - Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: RECETOX - Faculty of Science
- Thu 9:00–10:50 D29/347-RCX2
- 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
- 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.
- The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomic diversity. Biodiversity in graphs and data. Possibilities for biodiversity papers.
- Indices of biodiversity. Species richness, distribution of abundances in biological communities
- Equitability and its evaluation. Confidence intervals for biodiversity indices. Rarefaction and other techniques for estimation of species richness.
- Species abundance curves and their analysis, Q statistics. Species abundance curves in comparison to other techniques.
- Species abundances models, their types, algorithms and graphical representation.. "Niche-oriented species - abundance modelling"
- Computer simulation and its usage for analysis of biodiversity. Bootstrap and Jackknife.
- Parametric and non-parametric methods in analysis of biodiversity, multivariate analysis of biodiversity data.
- Fractionation of biological communities and the subsequent analysis of biodiversity of their subunits.
- Markov chains in biodiversity analysis.
- 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