The roles of isolation and interspecific interaction in generating the functional diversity of an insular mammal radiation

Communities that occupy similar environments but vary in the richness of closely related species can illuminate how functional variation and species richness interact to fill ecological space in the absence of abiotic filtering, though this has yet to be explored on an oceanic island where the processes of community assembly may differ from continental settings. In discrete montane communities on the island of Sulawesi, local murine rodents (rats and mice) richness ranges from 7 to 23 species. We measured 17 morphological, ecological, and isotopic traits, both individually and grouped into 5 multivariate traits in 40 species, to test for the expansion or packing of functional space among nine murine communities. We employed a novel probabilistic approach for integrating intraspecific and community-level trait variance into functional richness. Trait-specific and phylogenetic diversity patterns indicate dynamic community assembly due to variable niche expansion and packing on multiple ni..., Data were collected from museum records, uCT scans of skulls and dentaries, and stable isotopes from hair samples., The data only are stored in the Dryad Repo. See the associated Zenodo repo for full repository of R code, data, and outputs., # Data for: The roles of isolation and interspecific interaction in generating the functional diversity of an insular mammal radiation

## Notes on Reproducibility:

Dryad provides an immutable repository for data. However, due to limitations in the formatting, the GitHub repository containing all scripts, input data, output data, and plots cannot be loaded directly into Dryad. Downloading the data and scripts in individual files from different sources makes reproduction difficult for the end user. To mitigate this, we included the entire GitHub repository in the associated Zenodo directory, which is linked to this Dryad DOI. Using the excellent R packages `here` and `pacman`, we have set up the repository in such a way that it can be downloaded and immediately run on any machine (once the associated R packages are installed). The GitHub repo README file contains detailed information for running each script used in this project, from the initial data wrangling to final tables and plots,...