[{"@context":"http:\/\/schema.org\/","@type":"Dataset","identifier":"https:\/\/doi.org\/10.17043\/piemontese-2020-regions-1","@id":"https:\/\/doi.org\/10.17043\/piemontese-2020-regions-1","name":"Global social-ecological regions with potential for crop production increase with water harvesting","description":"This spatial dataset contains raster files for 6 spatial archetypes representing social-ecological regions \u2014 archetypes of water harvesting regions (AWHR) and the related potential for crop production increase.\r\n\r\nIt was constructed from 162 empirical case studies taken from the WOCAT (World Overview of Conservation Approaches and Technologies) database on local implementations of water harvesting across the globe. The 162 cases were clustered according to their social-ecological conditions, defined by a set of 12 social-ecological indicators: precipitation amount, seasonality, aridity, slope, soil organic carbon, farm size, agricultural labour, land tenure, remoteness, Human Development Index (HDI), access to credit and gender inequality. We used the HDI as an aggregate indicator which embraces the key aspects of education, income and life expectancy.\r\n\r\nFrom six clusters of case studies, six global areas showing similar social-ecological conditions (archetypes) were mapped. Each of the six corresponding raster files in ASCII format represents one of the six social-ecological regions where the 162 case studies of increasing crop productivity with water harvesting can be replicated given the similar conditions. The dataset can be used to understand the social-ecological suitability of different agricultural development practices and guide the transferability of local successful solutions.","url":"http:\/\/bolin.su.se\/data\/piemontese-2020-regions-1","keywords":["Terrestrial","Hydrology","Archetypes","Water harvesting","Global crop production","Sustainable intensification of agriculture","Earth science services > Data analysis and visualization > Geographic information systems"],"creator":{"@type":"Person","name":"Luigi Piemontese"},"citation":"Piemontese L, Castelli G, Fetzer I, Barron J, Liniger H, Harari N, Bresci E, Jaramillo F (2020) Estimating the global potential of water harvesting from successful case studies. Glob. Environ. Change 63:102121. doi:10.1016\/j.gloenvcha.2020.102121","license":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","isAccessibleForFree":true,"includedInDataCatalog":{"@type":"DataCatalog","name":"Bolin Centre for Climate Research, Stockholm University","identifier":"https:\/\/bolin.su.se\/data\/","url":"https:\/\/bolin.su.se\/data\/"},"distribution":{"@type":"DataDownload","encodingFormat":"application\/zip","contentUrl":"https:\/\/bolin.su.se\/data\/uploads\/piemontese-2020-3.zip"},"size":1411024,"isBasedOn":"Piemontese L, Castelli G, Fetzer I, Barron J, Liniger H, Harari N, Bresci E, Jaramillo F (2020) Estimating the global potential of water harvesting from successful case studies. Glob. Environ. Change 63:102121. doi:10.1016\/j.gloenvcha.2020.102121","temporalCoverage":"\/"}]