Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants

• Main Authors: Colin K. Khoury, Daniel Amariles, Jonatan Stivens Soto, Maria Victoria Diaz, Steven Sotelo, Chrystian C. Sosa, Julian Ramírez-Villegas, Harold A. Achicanoy, Nora P. Castañeda-Álvarez, Blanca León, John H. Wiersema
• Format: Article
• Language: English
• Published: Elsevier 2019-02-01
• Series: Data in Brief
• Online Access: http://www.sciencedirect.com/science/article/pii/S235234091831518X

The datasets and code presented in this article are related to the research article entitled “Comprehensiveness of conservation of useful wild plants: an operational indicator for biodiversity and sustainable development targets”1. The indicator methodology includes five main steps, each requiring and producing data, which are fully described and available here. These data include: species taxonomy, uses, and general geographic information (dataset 1); species occurrence data (dataset 2); global administrative areas data (dataset 3); eco-geographic predictors used in species distribution modeling (dataset 4); a world map raster file (dataset 5); species spatial distribution modeling outputs (dataset 6); ecoregion spatial data used in conservation analyses (dataset 7); protected area spatial data used in conservation analyses (dataset 8); and countries, sub-regions, and regions classifications data (dataset 9). These data are available at http://dx.doi.org/10.17632/2jxj4k32m2.1. In combination with the openly accessible methodology code (https://github.com/CIAT-DAPA/UsefulPlants-Indicator), these data facilitate indicator assessments and serve as a baseline against which future calculations of the indicator can be measured. The data can also contribute to other species distribution modeling, ecological research, and conservation analysis purposes. Keywords: Bioclimatic variables, Biodiversity indicators, Eco-geographic predictors, Economic plants, Occurrence data