The datasets and code presented in this Data in Brief article are related to the research article entitled "Comprehensiveness of conservation of useful wild plants: an operational indicator for biodiversity and sustainable development targets". 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.
- Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants - Mendeley datasethtml
Khoury, Colin K.; Amariles, Daniel; Soto, Jonatan; Diaz, Maria Victoria;...
- An indicator of the conservation status of useful wild plants - GitHub code repositoryhtml
Project Management and method code for the article "Comprehensiveness of...
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Data in Brief
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Khoury, Colin K.
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005:040 - Department of Agriculture - National Research
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005:18 - Agricultural Research Service