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Last update: RNDr. Veronika Sacherová, Ph.D. (29.04.2022)
change in space and time? Does it decline? If so, is it due to human activities? However, to answer these questions, we must be able to measure and analyze biodiversity - precisely and accurately. This course is designed to teach students to do just that. It is a practical course in that it will be focused on teaching students how to work with real data on biodiversity. However, to provide a proper motivation, we introduce each topic with a short lecture in terms of its history, the theory behind it, and challenges for measurement and analysis. In the practicals (running in blocks), we will analyze real data in the statistical software R. We will learn about different libraries for the analysis of a given type of data, proper implementation of methods, and interpretation of results. Students enrolling in the course should have passed an introductory course of ecology. A basic knowledge of the R software would be useful, but it is not necessary (we will learn everything needed during practicals). To make things clear, we note that this is neither a course in theoretical ecology (analysis of mathematical models) nor ecological statistics (analyzing statistical relationships among variables), but that we will try and quantify important concepts of ecological thinking, which is necessary for their critical evaluation. |
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Last update: RNDr. Veronika Sacherová, Ph.D. (29.04.2022)
Cadotte, M.W. and Davies, T.J. (2016) Phylogenies in ecology: A guide to concepts and methods. Princeton Univ. Press. Gardener, M. (2014) Community ecology: Analytical methods using R and Excel. Pelagic Publishing. Gotelli, N.J. and Ellison, A.M. (2018) A primer of ecological statistics, 2ed. Sinauer Associates. Gotelli, N.J. and Graves, G.R. (1996) Null models in ecology. Smithsonian Institution Press. Kéry, M. and Royle, J.A. (2016) Applied hierarchical modeling in ecology, vol. 1. Academic Press. Krebs, C.J. (1999) Ecological methodology. Benjamin/Cummings. Magurran, A.E. (2004) Measuring biological diversity. Blackwell Science. Magurran, A.E. and McGill, B.J. (2011) Biological diversity: Frontiers in measurement and assessment. Oxford Univ. Press. Swenson, N.G. (2014) Functional and phylogenetic ecology in R. Springer. |
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Last update: RNDr. Veronika Sacherová, Ph.D. (29.04.2022)
Analysis of a dataset in R software and writing up a report |
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Last update: prof. Mgr. Vladimír Remeš, Ph.D. (12.01.2023)
Each year only several selected topics from the following list will be covered. |