Linking Arable Crop Occurrence with Site Conditions by the Use of Highly Resolved Spatial Data
Linking Arable Crop Occurrence with Site Conditions by the Use of Highly Resolved Spatial Data
复制标题
通过使用高分辨率空间数据将耕作作物的发生情况与场地条件联系起来
作者：
S. Stein;H. Steinmann;J. Isselstein
农用地利用受当地土壤条件、供水和社会经济结构等因素的不同影响。我们在区域和田野范围内调查了可耕种作物模式与当地特定场地条件之间的关系有多强。在田间尺度上，对主要作物和选定的立地变量进行Logistic回归分析，发现每种分析作物都有其特有的作物-立地关系特征。一些作物具有不同的立地关系，如玉米和小麦，而其他作物在类似的立地条件下表现出类似的概率，如油菜和冬大麦。在区域尺度上，聚类型变量和聚集型作物格局的空间比较表明，与单一作物-立地关系相比，作物组合和特定立地变量组合的关系略强。
Agricultural land use is influenced in different ways by local factors such as soil conditions, water supply, and socioeconomic structure. We investigated at regional and field scale how strong the relationship of arable crop patterns and specific local site conditions is. At field scale, a logistic regression analysis for the main crops and selected site variables detected, for each of the analyzed crops, its own specific character of crop–site relationship. Some crops have diverging site relations such as maize and wheat, while other crops show similar probabilities under comparable site conditions, e.g., oilseed rape and winter barley. At the regional scale, the spatial comparison of clustered variables and clustered crop pattern showed a slightly stronger relationship of crop combination and specific combinations of site variables compared to the view of the single crop–site relationship.