Ordination output from detrended correspondence analysis (DCA) and global non-metric multidimensional scaling (GNMDS). Analyses were performed in R with the vegan package (Oksanen 2022) for the entire data set of 4630 subplots and 95 species' occurrences ('global', indicated by global or missing site name in file names), and for each of four sites: Skjellingahaugen (skj), Gudmedalen (gud), Låvisdalen (lav), and Ulvehaugen (ulv). Access .Rds files with readRDS in R/RStudio. For GNMDS files, k indicates the chosen number of dimensions. See GitHub repository for scripts to produce and perform further analysis with the files in this archive. Analyses performed by EL with scripts based on originals by RH.

Related repository on GitHub: https://github.com/evalieungh/hmsc_incline. Community data to be published later, see data description manuscript in Gya (2022). Disentangling effects and context dependencies of climate change on alpine plants. University of Bergen, Bergen, Norway. https://hdl.handle.net/11250/3038854