A comparative analysis of global cropping systems models and maps

This study aims to explore and quantify systematic similarities and differences between four major global cropping systems products: the dataset of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000), the spatial production allocation model (SPAM), the global agroecological zon...

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Main Authors: Anderson, Weston, You, Liangzhi, Wood, Stanley, Wood-Sichra, Ulrike, Wu, Wen-Bin
Format: Artículo preliminar
Language:Inglés
Published: International Food Policy Research Institute 2014
Subjects:
Online Access:https://hdl.handle.net/10568/150869
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author Anderson, Weston
You, Liangzhi
Wood, Stanley
Wood-Sichra, Ulrike
Wu, Wen-Bin
author_browse Anderson, Weston
Wood, Stanley
Wood-Sichra, Ulrike
Wu, Wen-Bin
You, Liangzhi
author_facet Anderson, Weston
You, Liangzhi
Wood, Stanley
Wood-Sichra, Ulrike
Wu, Wen-Bin
author_sort Anderson, Weston
collection Repository of Agricultural Research Outputs (CGSpace)
description This study aims to explore and quantify systematic similarities and differences between four major global cropping systems products: the dataset of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000), the spatial production allocation model (SPAM), the global agroecological zone (GAEZ) dataset, and the M3 dataset developed by Monfreda, Ramankutty, and Foley. The analysis explores not only the final cropping systems maps but also the interdependencies of each product, methodological differences, and modeling assumptions, which will provide users with information vital for discerning between datasets in selecting a product appropriate for each intended application.
format Artículo preliminar
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institution CGIAR Consortium
language Inglés
publishDate 2014
publishDateRange 2014
publishDateSort 2014
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spelling CGSpace1508692025-11-06T05:13:39Z A comparative analysis of global cropping systems models and maps Anderson, Weston You, Liangzhi Wood, Stanley Wood-Sichra, Ulrike Wu, Wen-Bin cropping systems cartography farmland harvesting yields This study aims to explore and quantify systematic similarities and differences between four major global cropping systems products: the dataset of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000), the spatial production allocation model (SPAM), the global agroecological zone (GAEZ) dataset, and the M3 dataset developed by Monfreda, Ramankutty, and Foley. The analysis explores not only the final cropping systems maps but also the interdependencies of each product, methodological differences, and modeling assumptions, which will provide users with information vital for discerning between datasets in selecting a product appropriate for each intended application. 2014 2024-08-01T02:54:06Z 2024-08-01T02:54:06Z Working Paper https://hdl.handle.net/10568/150869 en http://www.ifpri.org/blog/merging-models-compare-food-security-impacts-climate-change Open Access application/pdf International Food Policy Research Institute Anderson, Weston; You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike and Wu, Wenbin. 2014. A comparative analysis of global cropping systems models and maps. IFPRI Discussion Paper 1327. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/150869
spellingShingle cropping systems
cartography
farmland
harvesting
yields
Anderson, Weston
You, Liangzhi
Wood, Stanley
Wood-Sichra, Ulrike
Wu, Wen-Bin
A comparative analysis of global cropping systems models and maps
title A comparative analysis of global cropping systems models and maps
title_full A comparative analysis of global cropping systems models and maps
title_fullStr A comparative analysis of global cropping systems models and maps
title_full_unstemmed A comparative analysis of global cropping systems models and maps
title_short A comparative analysis of global cropping systems models and maps
title_sort comparative analysis of global cropping systems models and maps
topic cropping systems
cartography
farmland
harvesting
yields
url https://hdl.handle.net/10568/150869
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