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An agricultural survey for more than 9,500 African households

Surveys for more than 9,500 households were conducted in the growing seasons 2002/2003 or 2003/2004 in eleven African countries: Burkina Faso, Cameroon, Ghana, Niger and Senegal in western Africa; Egypt in northern Africa; Ethiopia and Kenya in eastern Africa; South Africa, Zambia and Zimbabwe in so...

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Detalles Bibliográficos
Autores principales: Waha, Katharina, Zipf, Birgit, Kurukulasuriya, Pradeep, Hassan, Rashid M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878200/
https://www.ncbi.nlm.nih.gov/pubmed/27218890
http://dx.doi.org/10.1038/sdata.2016.20
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author Waha, Katharina
Zipf, Birgit
Kurukulasuriya, Pradeep
Hassan, Rashid M.
author_facet Waha, Katharina
Zipf, Birgit
Kurukulasuriya, Pradeep
Hassan, Rashid M.
author_sort Waha, Katharina
collection PubMed
description Surveys for more than 9,500 households were conducted in the growing seasons 2002/2003 or 2003/2004 in eleven African countries: Burkina Faso, Cameroon, Ghana, Niger and Senegal in western Africa; Egypt in northern Africa; Ethiopia and Kenya in eastern Africa; South Africa, Zambia and Zimbabwe in southern Africa. Households were chosen randomly in districts that are representative for key agro-climatic zones and farming systems. The data set specifies farming systems characteristics that can help inform about the importance of each system for a country’s agricultural production and its ability to cope with short- and long-term climate changes or extreme weather events. Further it informs about the location of smallholders and vulnerable systems and permits benchmarking agricultural systems characteristics.
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spelling pubmed-48782002016-06-06 An agricultural survey for more than 9,500 African households Waha, Katharina Zipf, Birgit Kurukulasuriya, Pradeep Hassan, Rashid M. Sci Data Data Descriptor Surveys for more than 9,500 households were conducted in the growing seasons 2002/2003 or 2003/2004 in eleven African countries: Burkina Faso, Cameroon, Ghana, Niger and Senegal in western Africa; Egypt in northern Africa; Ethiopia and Kenya in eastern Africa; South Africa, Zambia and Zimbabwe in southern Africa. Households were chosen randomly in districts that are representative for key agro-climatic zones and farming systems. The data set specifies farming systems characteristics that can help inform about the importance of each system for a country’s agricultural production and its ability to cope with short- and long-term climate changes or extreme weather events. Further it informs about the location of smallholders and vulnerable systems and permits benchmarking agricultural systems characteristics. Nature Publishing Group 2016-05-24 /pmc/articles/PMC4878200/ /pubmed/27218890 http://dx.doi.org/10.1038/sdata.2016.20 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0
spellingShingle Data Descriptor
Waha, Katharina
Zipf, Birgit
Kurukulasuriya, Pradeep
Hassan, Rashid M.
An agricultural survey for more than 9,500 African households
title An agricultural survey for more than 9,500 African households
title_full An agricultural survey for more than 9,500 African households
title_fullStr An agricultural survey for more than 9,500 African households
title_full_unstemmed An agricultural survey for more than 9,500 African households
title_short An agricultural survey for more than 9,500 African households
title_sort agricultural survey for more than 9,500 african households
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878200/
https://www.ncbi.nlm.nih.gov/pubmed/27218890
http://dx.doi.org/10.1038/sdata.2016.20
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