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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Plant and Animal Genetic Resources Preservation » Research » Publications at this Location » Publication #356918

Research Project: Plant and Microbial Genetic Resource Preservation

Location: Plant and Animal Genetic Resources Preservation

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

Author
item Khoury, Colin
item Amariles, Daniel - California Institute Of Technology
item Soto, Jonatan - California Institute Of Technology
item Diaz, Maria - California Institute Of Technology
item Sotelo, Steven - California Institute Of Technology
item Sosa, Shrystian - California Institute Of Technology

Submitted to: Data in Brief
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 11/1/2018
Publication Date: 12/4/2018
Citation: Khoury, C.K., Amariles, D., Soto, J.S., Diaz, M.V., Sotelo, S., Sosa, S.C. 2018. Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants. Data in Brief. Vol. 22, PP 90-97. http://doi.org/10.1016/j.dib.2018.11.125.
DOI: https://doi.org/10.1016/j.dib.2018.11.125

Interpretive Summary: 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. 1 Khoury et al. 2019. Comprehensiveness of conservation of useful wild plants: an operational indicator for biodiversity and sustainable development targets. Ecological Indicators 98: 420-429. https://doi.org/10.1016/j.ecolind.2018.11.016

Technical Abstract: 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. 1 Khoury et al. 2019. Comprehensiveness of conservation of useful wild plants: an operational indicator for biodiversity and sustainable development targets. Ecological Indicators 98: 420-429. https://doi.org/10.1016/j.ecolind.2018.11.016