This repository provides the base R code and example applications for the following article:
Conrad Schittko & Maud Bernard-Verdier, Tina Heger, Sascha Buchholz, Ingo Kowarik, Moritz von der Lippe, Birgit Seitz, Jasmin Joshi & Jonathan M. Jeschke. A multidimensional framework for measuring biotic novelty: How novel is a community? (2020) Global Change Biology, 26, 4401-4417. https://doi.org/10.1111/gcb.15140 (open access)
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FUNCTION BNI.calc.R : function BNI.calc calculating the Biotic Novelty Index (BNI)
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FUNCTION BNI simulation functions.R : a set of functions to simulate communities and explore the behaviour of the BNI, and two functions for plotting results
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Simulation testing.R : R script to run the 9 different simulation scenarios from the article
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Case study 1.Rmd : R markdown document replicating the case study 1 on anonymized data
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/data : example data folder
- berlin.rda : anonymized data for case study 1
The code makes use of R packages "vegan" (version 2.5-5) and "FD"(version 1.0-12), and other dependencies from these packages.
All R code in this repository is licensed under the MIT license. However, we retain all rights for the content of the /data folder.