Global Baseline and Future (Shared Socio-economic Pathway 3-7.0 for the 2050s) Climate Suitability Atlas for 27 Prioritized Tree Species.

This archive contains global suitability maps for 27 priority tree species for the Landscape Alliance (CIFOR & ICRAF in action). Climate suitability scores were calculated by a modified version of the BiodiversityR::treegoer.score(), where this modified function is included in this archive. The climate scoring system was modified from the one used in the GlobalUsefulNativeTrees and EcoregionsTreeFinder databases, whereas the same subset of bioclimatic variables were used: Score = 3 means that in 'environmental space' the planting site occurs within the 25% - 75% species's range (as documented in the TreeGOER) for all variables Score = 2 corresponds to the 5% - 95% species's range for all variables Score = 1 corresponds to the 0% - 100% species's range for all variables Score = 0.50 means that the planting site occurs outside the 0% - 100% species's range for some of the variables, but for water-related bioclimatic variables (used here: BIO12, climaticMoistureIndex, BIO16, BIO17 and MCWD) to be above the maximum (‘too wet but not too dry’) Score = 0.25 means that the planting site occurs outside the 0% - 100% species's range for some of the variables, but for heat-related bioclimatic variables (used to produce the maps shown here: BIO01, monthCountByTemp10, growingDegDays5, BIO05 and BIO06) to be below the minimum (‘too cold but not too hot’) and for water-related bioclimatic variables (used here: BIO12, climaticMoistureIndex, BIO16, BIO17 and MCWD) to be above the maximum (‘too wet but not too dry’) Score = 0 (not mapped, but implicitly available from the climate change maps) means that the planting site occurs outside the 0% - 100% species's range for some of the variables See the Analysis steps.pdf document for a full description of methods used. References Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 00, 1–16. https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914. Kindt, R. (2024). TreeGOER: Tree Globally Observed Environmental Ranges (2024.07) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13132613 Kindt, R., Graudal, L., Lillesø, JP.B. et al. (2023). GlobalUsefulNativeTrees, a database documenting 14,014 tree species, supports synergies between biodiversity recovery and local livelihoods in landscape restoration. Sci Rep 13, 12640. https://doi.org/10.1038/s41598-023-39552-1 Kindt, R. (2023). CitiesGOER: Globally Observed Environmental Data for 52,602 Cities with a Population ≥ 5000 (2023.10) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10004594 Kindt, R. (2024). ClimateForecasts: Globally Observed Environmental Data for 15,504 Weather Station Locations (2024.07) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12679832 Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302–4315. https://doi.org/10.1002/joc.5086 Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography, 41(2), 291–307. https://doi.org/10.1111/ecog.02880 Barnes R, Sahr K (2026). dggridR: Discrete Global Grids, package version 3.1.1. doi:10.32614/CRAN.package.dggridR https://doi.org/10.32614/CRAN.package.dggridR BGCI. 2022. GlobalTreeSearch online database. Botanic Gardens Conservation International. Richmond, UK. Available at https://tools.bgci.org/global_tree_search.php.