CSIRO Agriculture, 306 Carmody Road, St Lucia, QLD 4067, Australia.
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Strasse 24-25, Potsdam 14476, Germany.
Sci Data. 2016 May 24;3:160020. doi: 10.1038/sdata.2016.20.
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.
在 2002/2003 或 2003/2004 生长季节，在 11 个非洲国家（布基纳法索、喀麦隆、加纳、尼日尔和塞内加尔在西非；埃及在北非；埃塞俄比亚和肯尼亚在东非；南非、赞比亚和津巴布韦在南部非洲）进行了超过 9500 户家庭的调查。在代表关键农业气候带和农业系统的地区，随机选择了家庭。数据集指定了农业系统的特征，可以帮助了解每个系统对一个国家农业生产的重要性，以及其应对短期和长期气候变化或极端天气事件的能力。此外，它还可以了解小农和脆弱系统的位置，并允许对农业系统的特征进行基准测试。
