23553b
Seminar
S I Quantitative Community Ecology in R
Oksana Buzhdygan, Felix May
Information for students
Additional module information: Quantitative Community Ecology
Additional information / Pre-requisites
Please use the computer not a tablet because R is difficult to install on a tablet.
Prior knowledge in R is required.
Prior knowledge in R is required.
Comments
Content:
During the seminars, the topics covered in the lectures are deepened and discussed.
Learning objectives:
In this module the students acquire the following knowledge and skills:
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During the seminars, the topics covered in the lectures are deepened and discussed.
Learning objectives:
In this module the students acquire the following knowledge and skills:
- to analyze ecological communities using taxonomic and functional approaches (total and relative abundances, biodiversity indicators, functional traits, functional diversity, taxonomic and functional community composition)
- to graphicaly visualize the variation within and between communities
- to apply statistics for multivariate data including Principal Component Analysis (PCA), Redundancy Analysis (RDA), Canonical Correspondence Analysis (CCA), Nonparametric Multidimensional Scaling (NMDS) and other ordination methods and cluster analysis
- to test the effects of environmental variables on community diversity and changes in community composition
- to analyse the scale-dependence of biodiversity and approaches for standardized biodiversity comparisons
- to analyse community similarity and dissimilarity in species composition and in species functional traits
- to present statistical methods and results in oral and written form to a specialist audience.
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Suggested reading
De Bello, F., Carmona, C.P., Dias, A.T., Götzenberger, L., Moretti, M. and Berg, M.P., 2021. Handbook of trait-based ecology: from theory to R tools. Cambridge University Press.
Swenson, N.G., 2014. Functional and phylogenetic ecology in R. New York: Springer.
Borcard, D., Gillet, F. and Legendre, P., 2011. Numerical ecology with R. New York: Springer. close
10 Class schedule
Regular appointments
Mon, 2026-05-18 11:30 - 12:30
Tue, 2026-05-19 11:30 - 12:30
Wed, 2026-05-20 11:30 - 12:30
Thu, 2026-05-21 11:30 - 12:30
Wed, 2026-05-27 11:30 - 12:30
Thu, 2026-05-28 11:30 - 12:30
Fri, 2026-05-29 11:30 - 12:30
Mon, 2026-06-01 11:30 - 12:30
Tue, 2026-06-02 11:30 - 12:30
Wed, 2026-06-03 11:30 - 12:30