23553b

S I Quantitative Community Ecology in R

Oksana Buzhdygan, Felix May

Hinweise für Studierende

Additional module information: Quantitative Community Ecology

Zusätzl. Angaben / Voraussetzungen

Please use the computer not a tablet because R is difficult to install on a tablet.
Prior knowledge in R is required.

Kommentar

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:

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.

Schließen

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