The data are linked to a research article published in Evolutionary Applications (2024) by Victor Fririon, Hendrik Davi, Sylvie Oddou-Muratorio, Gauthier Ligot and François Lefèvre (https://doi.org/10.1111/eva.70051). Any reuse of the data must cite the research article: see full reference for citation in the metadata of this archive.

The research investigates how thinning can mitigate immediate impacts of drought on tree populations or enhance the selection of resistant genotypes for long-term benefits. The data contain a full factorial design simulation plan with the demo-genetic forest model Luberon2 combining 3 stochastic drought stress regimes, 3 levels of phenotypic variation and 4 silvicultural scenarios resulting in 36 scenarios that were replicated 10 times, i.e. leading to 360 simulation runs in total.

The archive includes all necessary elements to reproduce the research: (i) a stand alone version of the model; (ii) the input and output files of the simulations presented in the in the study; (iii) the R scripts used to analyze the simulation outputs and reproduce the figures as they appear in the study manuscript.

Luberon2, A study-specific version included in this archive (see the README for details).

R, 4.3.0