Bi5980 Statistical Evaluation of Biodiversity

Faculty of Science
Autumn 2010
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
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.
Timetable
Tue 16:00–17:50 F01B1/709
Prerequisites (in Czech)
Vzhledem k unikátnosti většiny metod v této oblasti není nezbytné vzdělávání v biostatistických metodách, předpokladem je pouze základní znalost principů statistických testů a provádění odhadů a znalost matematiky v rozsahu střední školy. Naopak nutným předpokladem je znalost populační biologie a ekologie.
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
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 biodiverzity; 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 o view; Have overview of available software for analysis of biodiversity data.
Syllabus
  • The term biodiversity. Dual concept of biodiversity. Functional, genetic, structural and taxonomical 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.
Literature
  • 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 quaetions 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
Czech
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021.
  • Enrolment Statistics (Autumn 2010, recent)
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