Yield Constraint Score (YCS) for the effect of five crop stresses on global production of four staple food crops

• Published by: Environmental Information Data Centre
• Last updated: 29 July 2020
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

A Yield Constraint Score (YCS; scale of 1-5) was developed for the effect of five key crop stresses (ozone, pests and diseases, soil nutrients, heat stress and aridity) on the production of the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum). Data are on a global scale at 1° by 1° resolution, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. To derive the YCS for each crop stress, spatial data on a global scale were gathered. Modelled ozone data (2010-2012) were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Pests and diseases data (2002-2004) were downloaded from a Centre for Agriculture and Biosciences International (CABI) database providing estimates for pre-harvest crop losses due to weeds, animal, pathogens and viruses, compiled from the literature. Soil nutrient classifications (for 2009, derived using soil attributes from the Harmonized World Soil Database (HWSD)) were downloaded from the GAEZ data portal. A heat stress index was calculated using daily temperature data (1990-2014) to determine whether the temperature within a 30-day thermal-sensitive period exceeded crop tolerance thresholds. Global Aridity Index data (1950-2000) were downloaded from the Consultative Group for International Agricultural Research’s Consortium for Spatial Information (CGIAR-CSI). The Yield Constraint Score provides an indication of where each stress is predicted to be affecting crop yield globally and the magnitude of the effect. The YCS data were developed as part of the NERC funded SUNRISE project (NEC06476) and the National Capability Project NC-Air quality impacts on food security, ecosystems and health (NEC05574).

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Link to the data	Format	File added	Data preview
Supporting information	ZIP	29 July 2020	Not available
Download the data	N/A	29 July 2020	Not available

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• Added to data.gov.uk: 2020-07-21T11:13:20
• Access contraints: © UK Centre for Ecology & Hydrology
• Harvest GUID: d347ed22-2b57-4dce-88e3-31a4d00d4358
• Extent: Latitude: 90° to -90°
• Extent: Longitude: -180° to 180°
• Dataset reference date: 2020-07-20 (publication)
• Responsible party: State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐Environmental Sciences, Chinese Academy of Sciences, Beijing, China (author); United States Department of Agriculture – Agricultural Research Service (USDA‐ARS), Raleigh, North Carolina (author); Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden (author); UK Centre for Ecology & Hydrology (author, pointOfContact); Department of Global Agricultural Sciences, The University of Tokyo, Tokyo, Japan (author); Department of Botany, Institute of Science, Banaras Hindu University, Uttar Pradesh, India (author); Environment Department, Stockholm Environment Institute at York, University of York, York, UK (author); Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany (author); NERC Environmental Information Data Centre (publisher); Environmental Information Data Centre (custodian); EMEP MSC‐W, Norwegian Meteorological Institute, Oslo, Norway (author)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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