Climate change is predicted to impact the global distribution and richness of pines (genus Pinus) by 2070

Aim: Climate change is altering habitat suitability for many organisms and modifying species ranges at a global scale. Here we explored the impact of climate change on 112 pine species (Pinus), fundamental elements of Northern terrestrial ecosystems.
Location: Global.
Methods: We applied a novel methodology for species distribution modelling that considers uncertainty in climatic projections and taxon sampling, and incorporates elements of species’ recent evolutionary history. We based our niche calculations on climate and soil data and computed projections across multiple algorithms and IPCC scenarios, which were ensembled into one single suitability map. We then used phylogenetic methods to account for recent evolution in climatic requirements by estimating the evolution of climatic niche. Edaphoclimatic and evolutionary analyses were then combined to calibrate the projections in areas showing high uncertainty. We validated our models using naturalized occurrences of invasive pine spe..., , , # Data from: Climate change is predicted to impact the global distribution and richness of pines (genus *Pinus*) by 2070

[https://doi.org/10.5061/dryad.44j0zpcnh](https://doi.org/10.5061/dryad.44j0zpcnh)

This dataset contains two files: A ZIP file with code and a CSV file with evaluation metrics for the algorithms used to model the distribution of pine species.

## Code

The ZIP file (scripts_pine_sdms_v2.zip) includes the code (i.e., scripts) used to perform the main analyses of the manuscript. The scripts are stored in different folders following the original order of the analyses. All scripts are annotated with explanations about the steps and main rationale, thus detailed information is provided in each script about each specific step.

* 1_presences_absences: Processing presence and absence data of pine species.
* 2_predictor_selection: Selection of environmental variables used to model the distribution of pine species.
* 3_modelling: Predicting the suitable areas (in terms...