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CassavaMap, a fine-resolution disaggregation of cassava production and harvested area in Africa in 2014

Cassava, the third main source of carbohydrates in Africa, provides daily nutrition for over 700 million people on the continent and a vital source of income for subsistence farmers. Despite its importance, our knowledge of the heterogeneity of its distribution in the landscape is limited and outdat...

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Bibliographic Details
Published in:Scientific data 2020-05, Vol.7 (1), p.159-159, Article 159
Main Author: Szyniszewska, Anna Maria
Format: Article
Language:English
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Summary:Cassava, the third main source of carbohydrates in Africa, provides daily nutrition for over 700 million people on the continent and a vital source of income for subsistence farmers. Despite its importance, our knowledge of the heterogeneity of its distribution in the landscape is limited and outdated. Information on cassava production and harvested area are typically available on aggregated administrative unit level with highly variable temporal range of records, often over a decade old, and represented on a coarse ~10 km by 10 km grid. Here, cassava production and harvested area administrative unit level data for 32 countries are standardised to 2014 FAO reported levels and disaggregated based on the distribution of the rural population in 2014. The grid obtained represents a significant improvement on the previous studies in terms of both spatial resolution (~1 km by 1 km) and temporal accuracy. Enhanced representation of cassava production and harvested area in Africa is an essential resource for policy making as well as designing strategies to manage its main pathogens. Measurement(s) plantation • total biomass yield Technology Type(s) digital curation Factor Type(s) geographic location • rural population • crop production statistics Sample Characteristic - Organism Manihot esculenta Sample Characteristic - Environment area of cropland • cultivated environment • agricultural field Sample Characteristic - Location Africa Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12279938
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-020-0501-z