Course: Quantitative Ecology

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Course title Quantitative Ecology
Course code BOT/PAVSB
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional, Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
  • Duchoslav Martin, RNDr. Ph.D.
Course content
1. Introduction. Types of ecological researches, terminology, historical overview. 2. Data sampling - objectivity, design of an experiment, results interpretation. 3. Characteristics of vegetation data - data matrices, data manipulation. Database software - Turboveg, Juice. Evaluation of similarities among species and relevés. Diversity, species richness, dominance. 4. Calibration. Ecological Analysis. Indicators. 5. Methods of multidimensional analyses. (i) Direct and indirect gradient analysis (ordination), software CANOCO, R. (ii) Classification methods (cluster and divisive analyses, discrimination analysis, regression trees), software JUICE. 6. Spatial and temporal aspect of ecological data. Numerical methods in ecology: study examples.

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Projection (static, dynamic)
Learning outcomes
The course focuses on methodology of design, sampling, analysis and interpretation of data from observational and experimental studies in community ecology.
Student should be able to (after attending the course): - Explain the terms of Plant Ecology Research. - Collect properly ecological data, design an experiment. - Analyse collected data using statistical software (TURBOVEG, JUICE, CANOCO, TWINSPAN, STATISTICA, R) and properly interpret obtained results.
Basic knowledge of ecology and biostatistics.

Assessment methods and criteria
Mark, Written exam

Combined exam in extent of the lectures: written test and calculating some mathematical/ecological examples on PC
Recommended literature
  • Jongman, R.H., Braak ter, C.J.F., Tongeren van, O.F.R. (1995). Data analysis in community and landscape ecology.. Cambridge University Press.
  • Kent, M., Coker, P. (1992). Vegetation Description and Analysis.. Belhaven Press, London.
  • Legendre P., Legendre L. (1998). Numerical Ecology. Elsevier, Amsterdam.
  • Lepš, J., & Šmilauer, P. (2003). Multivariate analysis of ecological data using CANOCO. Cambridge: Cambridge University Press.
  • Magurran AE. (2004). Measuring biological diversity. Blackwell Publishing.
  • Schneiner SM., Gurevitch J. (2001). Design and analysis of ecological experiments. Oxford University Press.
  • ter Braak C.J.F, Šmilauer P. (2012). Canoco reference manual and users guide. České Budějovice.
  • Wildi, O. (2013). Data analysis in vegetation ecology. Hoboken, N.J: Wiley-Blackwell.

Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Science Teaching Training in Biology for Secondary Schools (2015) Pedagogy, teacher training and social care 1 Summer
Faculty of Science Botany (2015) Biology courses 1 Summer
Faculty of Science Ecology and Environmental Protection (1) Ecology and environmental protection 1 Summer
Faculty of Science Zoology (2015) Biology courses 1 Summer