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DOI | 10.1016/j.gloenvcha.2012.11.001 |
Adaptation to climate change through the choice of cropping system and sowing date in sub-Saharan Africa | |
Waha K.; Müller C.; Bondeau A.; Dietrich J.P.; Kurukulasuriya P.; Heinke J.; Lotze-Campen H. | |
发表日期 | 2013 |
ISSN | 0959-3780 |
卷号 | 23期号:1 |
英文摘要 | Multiple cropping systems provide more harvest security for farmers, allow for crop intensification and furthermore influence ground cover, soil erosion, albedo, soil chemical properties, pest infestation and the carbon sequestration potential. We identify the traditional sequential cropping systems in ten sub-Saharan African countries from a survey dataset of more than 8600 households. We find that at least one sequential cropping system is traditionally used in 35% of all administrative units in the dataset, mainly including maize or groundnuts. We compare six different management scenarios and test their susceptibility as adaptation measure to climate change using the dynamic global vegetation model for managed land LPJmL. Aggregated mean crop yields in sub-Saharan Africa decrease by 6-24% due to climate change depending on the climate scenario and the management strategy. As an exception, some traditional sequential cropping systems in Kenya and South Africa gain by at least 25%. The crop yield decrease is typically weakest in sequential cropping systems and if farmers adapt the sowing date to changing climatic conditions. Crop calorific yields in single cropping systems only reach 40-55% of crop calorific yields obtained in sequential cropping systems at the end of the 21st century. The farmers' choice of adequate crops, cropping systems and sowing dates can be an important adaptation strategy to climate change and these management options should be considered in climate change impact studies on agriculture. © 2012 Elsevier Ltd. |
英文关键词 | Adaptation options; Agricultural management; Crop modelling; Multiple cropping; Sequential cropping systems |
学科领域 | adaptive management; agricultural management; agricultural modeling; climate change; crop yield; cropping practice; data set; groundnut; harvesting; household survey; maize; sowing date; traditional agriculture; twenty first century; Sub-Saharan Africa; Arachis hypogaea; Zea mays |
语种 | 英语 |
scopus关键词 | adaptive management; agricultural management; agricultural modeling; climate change; crop yield; cropping practice; data set; groundnut; harvesting; household survey; maize; sowing date; traditional agriculture; twenty first century; Sub-Saharan Africa; Arachis hypogaea; Zea mays |
来源期刊 | Global Environmental Change
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/117981 |
作者单位 | Potsdam Institute for Climate Impact Research (PIK), Research Domain Climate Impacts and Vulnerabilities, P.O. Box 60 12 03, D-14412, Potsdam, Germany; Potsdam Institute for Climate Impact Research (PIK), Research Domain Earth System Analysis, P.O. Box 60 12 03, D-14412, Potsdam, Germany; Aix-Marseille University, Mediterranean Institute of Marine, Terrestrial Biodiversity and Ecology (IMBE), UMR CNRS/IRD - BP 80, F-13545 Aix-en-Provence cedex 04, France; Potsdam Institute for Climate Impact Research (PIK), Research Domain Sustainable Solutions, P.O. Box 60 12 03, D-14412, Potsdam, Germany; United Nations Development Programme, Energy and Environment Group/Global Environment Facility Unit, Bureau of Development Policy, UNDP-Asia Pacific Regional Office, Bangkok, Thailand; International Livestock Research Institute, P.O. Box 30709, Nairobi, Kenya |
推荐引用方式 GB/T 7714 | Waha K.,Müller C.,Bondeau A.,et al. Adaptation to climate change through the choice of cropping system and sowing date in sub-Saharan Africa[J],2013,23(1). |
APA | Waha K..,Müller C..,Bondeau A..,Dietrich J.P..,Kurukulasuriya P..,...&Lotze-Campen H..(2013).Adaptation to climate change through the choice of cropping system and sowing date in sub-Saharan Africa.Global Environmental Change,23(1). |
MLA | Waha K.,et al."Adaptation to climate change through the choice of cropping system and sowing date in sub-Saharan Africa".Global Environmental Change 23.1(2013). |
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