R package that is actively being developed for estimating biodiversity and the components of its change. The key innovations of this R package over other R packages that also carry out rarefaction (e.g., vegan, iNext) is that mobr is focused on:
1) making empirical comparisons between treatments or gradients, and
2) our framework emphasizes how changes in biodiversity are linked to changes in community structure: the SAD, total abundance, and spatial aggregation.
The concepts and methods behind this R package are described in the following publications.
Chase, J.M., B. McGill, D.J. McGlinn, F. May, S.A. Blowes, X. Xiao, T. Knight. 2018. Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities. Ecology Letters. 21: 1737–1751. https://doi.org/10.1111/ele.13151
McGlinn, D.J. X. Xiao, F. May, N.J Gotelli, T. Engel, S.A Blowes, T.M. Knight, O. Purschke, J.M Chase, and B.J. McGill. 2019. MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change. Methods in Ecology and Evolution. 10:258–269. https://doi.org/10.1111/2041-210X.13102
McGlinn, D.J. T. Engel, S.A. Blowes, N.J. Gotelli, T.M. Knight, B.J. McGill, N. Sanders, and J.M. Chase. 2020. A multiscale framework for disentangling the roles of evenness, density, and aggregation on diversity gradients. Ecology. https://doi.org/10.1002/ecy.3233
McGlinn, D.J., S.A. Blowes, M. Dornelas, T. Engel, I.S. Martins, H. Shimadzu, N.J. Gotelli, A. Magurran, B.J. McGill, and J.M. Chase. 2025. Disentangling non-random structure from random placement when estimating β-diversity through space or time. Ecosphere. e70061. https://doi.org/10.1002/ecs2.7006114
The code, examples, and vignettes can be found at the following links: