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作 者:刘哲[1] 刘玮[1] 昝糈莉 封伟[1] 李绍明[1] 张晓东[1]
机构地区:[1]中国农业大学信息与电气工程学院,北京100083
出 处:《农业机械学报》2017年第6期125-131,共7页Transactions of the Chinese Society for Agricultural Machinery
基 金:国家自然科学基金青年项目(41301075)
摘 要:玉米是我国主要粮食作物之一,现有的玉米种植环境区划受尺度过大的影响,分区环境特征不能满足品种精细测试要求,只用多年平均值描述环境空间特征,对于多环境测试中的环境不能充分地认知。为此,以地理网格为单元,以东北三省为研究区,利用东北三省21年的气象、DEM、坡度和县域春玉米种植面积等数据,以每年的环境特征为指标,构建多年环境特征数据库,通过属性聚类方法,从时空角度研究玉米种植环境精细区划方法,将东北三省的多年环境特征分成7类,使用类别归属度分析方法,实现东北三省玉米种植环境时空型区划。与多年环境特征均值的空间型区划对比结果表明,时空型区划结果更加精细,环境认知更加充分。Maize is one of the main food crops in China.Due to too much scales of maize environmental regionalization description,the partition environmental characteristics are not satisfied with the test requirements of the fine varieties,and only using several years average values to describe the spatial characteristics of the environment can not enough recognize the multiple environment test of the environment.The geographical grid was taken as the unit,and the three northeastern provinces as the study area.By using the 21-year meteorological data,DEM,slope and the planting area of spring maize in the three provinces of Northeast China,the every year environment characteristic was used as index to build a multi-year environmental characteristic mean database and a several years environment characteristics database.From the temporal and spatial perspective,the attribute clustering method was used to research a maize environment fine division method.The result was that the environmental characteristics of the three provinces in Northeast China were divided into seven categories.The regionalization of maize planting environment in the three provinces of Northeast China was carried out by using the belonging degree analysis method for category,and compared with the spatial regionalization of the mean value of environmental characteristics for many years, the result of spatial-temporal regionalization was more precise and the environmental cognition was more full.
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