23314c
Seminar am PC
S-PC Quantitative Community Ecology in R
Oksana Buzhdygan, Felix May
Hinweise für Studierende
Please use the computer not a tablet because R is difficult to install on a tablet.
Additional module information: Modulbeschreibung SoSe24_Computational-Bio_Quantitative-Community-Ecology_May Schließen
Zusätzl. Angaben / Voraussetzungen
Prior knowledge in R is required.
Kommentar
Inhalte:
Seminar am PC: In the seminars on the PC, students practically apply the topics and methods, learned during the lectures and seminars. Using a number of worked examples from the published ecological literature, students develop, evaluate, modify and solve the community analysis exercises using the R software under supervision and later independently. Students practice the selection of data analysis strategies for different datasets (e.g., chose appropreate methods for different multivariate datasets). Students learn how to interpret the results in the ecologically meaningful contexts. Qualifikationsziele:
In this module the students acquire the following knowledge and skills:
Schließen
Seminar am PC: In the seminars on the PC, students practically apply the topics and methods, learned during the lectures and seminars. Using a number of worked examples from the published ecological literature, students develop, evaluate, modify and solve the community analysis exercises using the R software under supervision and later independently. Students practice the selection of data analysis strategies for different datasets (e.g., chose appropreate methods for different multivariate datasets). Students learn how to interpret the results in the ecologically meaningful contexts. Qualifikationsziele:
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 ) ordination 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 and similarity and dissimilarity
- to analyse the scale-dependence of biodiversity and approaches for standardized biodiversity comparisons
- to analyse ecosystem functions
- to present statistical methods and results in oral and written form to a specialist audience.
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Literaturhinweise
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.
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