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Future agricultural conditions in the Nepal Himalaya - A fuzzy logic approach using high resolution climate scenarios

机译:尼泊尔喜马拉雅山的未来农业条件-使用高分辨率气候情景的模糊逻辑方法

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Until the end of the 21st century, ongoing climate change is expected to trigger major changes in site conditions and vertical species distributions in high mountain regions such as the Himalaya. Altitudinal ranges of species used as staple crops in Himalayan agriculture and currently suitable cultivation areas will be affected as well. Changing climatic variables such as temperature and precipitation will modify agricultural land-use options, and assessments of future crop growth conditions are in high demand. This GIS-based approach utilizes high resolution climate data of the present and two future scenarios and relates them to bioclimatic requirements of the five most important crops grown in Nepal: rice, maize, wheat, finger millet and potato. It takes into account soil pH as a basic constraint for the individual crop. The three factors? temperature, precipitation,and soil pH are then combined using a fuzzy logic algorithm. The assessment visualizes the expected shifts in suitable cultivation zones for the individual crops. The results show that wheat is likely to experience the most severe loss of crop suitability until the end of the 21st century, while the cultivation of rice is likely to benefit.
机译:直到21世纪末,持续的气候变化预计将在喜马拉雅山等高山地区引发场地条件和垂直物种分布的重大变化。喜马拉雅农业中用作主食作物的物种的海拔范围以及目前合适的种植区也将受到影响。变化的气候变量(例如温度和降水)将改变农业用地的选择方式,并且对未来作物生长条件的评估迫切需要。这种基于GIS的方法利用了当前和未来两种情况的高分辨率气候数据,并将它们与尼泊尔种植的五种最重要作物的生物气候需求相关:水稻,玉米,小麦,小米和马铃薯。它考虑到土壤pH值是单个农作物的基本限制条件。这三个因素?然后使用模糊逻辑算法将温度,降水和土壤pH值进行组合。该评估将各个作物在合适的种植区中的预期变化可视化。结果表明,在21世纪末之前,小麦可能会遭受最严重的作物适应性损失,而水稻种植可能会受益。

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