Code and data for a simulation study of ecological facilitation and adaptation to climate change in a stressful environment

This archive contains the simulation code, simulation data, analysis code and analysis output for a study of the evolutionary consequences of ecological facilitation on adaptation to climate change in a stressful environment. This archive is for reproducibility purposes. For citation, please use the following DOI: https://doi.org/10.32942/X2WW8P. How to The root folder contains the source code for the simulation program (written in C++), as well as documentation, helper and configuration files used for testing and compiling. The r/ folder contains the simulated data (under data/) and the R code used to analyze these data and produce results (mostly figures). The nb/ folder contains Mathematica notebooks used for mathematical derivations. Please refer to the README files inside of each folder for more details on how to reproduce the study. The (LaTeX) code for the manuscript is not included in this archive. Note that the simulation datasets are compressed (.zip) and must be extracted before analyses can be run. About This archive is a conglomerate of several repositories and datasets, some of which are available on online repositories. For the purpose of this archive, these repositories have been combined in a single folder, and some files have been ommitted, but for most intents and purposes the same information (except for datasets) can be found at the links below. Also note that the present archive is a specific snapshot of these projects at a given time, and the projects themselves may still evolve to newer versions. Links (Including relevant versions for this archive.) brachypode (v2.2.7): source code brachypode-r (v1.1): analysis code brachypode-nb (v1.1): mathematical derivations Notes The preprint associated with this data and code can be found here. Permissions Copyright (c) 2024-2026 the respective authors. The manuscript associated with this archive was authored by Raphaël Scherrer and co-authors. Copyright ownership of simulation code, analysis code, data, and figures varies by component; see the README files in the relevant subfolders for full copyright information. The code in this archive is licensed under the MIT license. Datasets and figures are licensed under the CC-BY 4.0 license. Licensing details and full license texts are included within the archive.