Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change

These are the supplementary data for the scientific article recording the spacial distribution and ocorrence record of <i>Eschweilera tetrapetala</i>. We provide here:1 - Occurrence records with associated environmental information in the formats CSV.2- Abundance of <i>E. tetrapetala</i> in 10 random plots of 200 x 10 m, in the Atlantic Forest sections of Chapada Diamantina, along the eastern flank of Serra do Sincorá.3- Abundance of E. tetrapetala in 30 permanent plots of 10 x 10 m (0.3 ha), randomly established by Couto-Santos et al. (2015) in an area of the SSF (12º28'31''S;41º23'14''W) within the CDNP.-Couto-Santos APL, Conceição AA &amp; Funch LS (2015) The role of temporal scale in linear edge effects on a submontane Atlantic forest arboreal community. Acta Botanica Brasilica 29: 190–197.4-The extent of occurrence (EOO) and the area of occupation (AOO) of the updated species to take into account the new records, calculated by the geographic tool 'Geocat'.'Geocat' (http://geocat.kew.org/ - Bachman et al. 2011 - https://doi.org/10.3897/zookeys.150.2109)5-Shapefile of EOO and priority áreas6- Modelling scripts. R Core Team (2018) R: a language and environment for statistical computing. R. Foundation for Statistical Computing, Vienna.-https://cran.r-project.org/7-Intermediate models- models raster for period evaluated and algorithm.8 Ensemble models-consensus model (ensemble) in each period evaluated (past and future) using the means of all the models .