23314b Seminar

S 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: During the seminars, the topics covered in the lectures are deepened and discussed.

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. Schließen

Studienfächer A-Z