半干旱热带地区的农业气候分类。印度、塞内加尔和上沃尔特的分类

S. Jeevananda Reddy (Consultant(Agroclimatology))
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引用次数: 4

摘要

利用本文第1、2、3部分导出的11个农业气候变量,采用数值分类技术将印度、塞内加尔和上沃尔特地区的190个地点划分为有限的类群。采用算术平均(UPGMA)融合策略的欧几里得度量-非加权对群方法得到的7个主坐标数据矩阵结果最适合识别印度和西非形成的群体。总的来说,本研究将高度不可靠的地点与不同的有效雨季分开。所确定的群体在定义干播可行性的可靠性方面并不相同,在范围的低端,以及涝灾的危害。因此,为了克服这一问题,首先根据改进的Thornthwaite方法将类群划分为干旱、半干旱和半湿润3个大区域,并根据与种植方式相关的有效多雨期将半干旱区域进一步划分为5个区域。由于主要分组是指最稳定的情况,因此根据可靠性水平将它们再次分为5个子区,每个子区以开始播种降雨时间的标准差为特征。为了考虑到一些业务问题,例如内涝、是否有实地工作日来进行文化活动等,根据干湿期和干旱指数进一步将它们分成若干组和次组。半干旱热带的衍生带和子带是直接的,很容易记住,并且在农艺学上是有意义的。在给定的分类结构下,很容易添加新的位置,而无需进一步的数值分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agroclimatic classification of the semi-arid tropics IV. Classification of India, Senegal and Upper Volta

To arrange the 190 locations in India, Senegal and Upper Volta into finite groups, numerical taxonomic techniques were adopted, using 11 agroclimatic variables derived from parts I, II and III of this study. The results obtained using the data matrix of 7 principal coordinates with Euclidean metric — unweighted pair group method using arithmetic averages (UPGMA) fusion strategy appear to be the most suitable to identify groups formed in India and West Africa. In general, this study separated the highly undependable locations with different effective rainy periods. The groups identified are not homogeneous in terms of dependability defining dry-seeding feasibility, at the lower end of the range, and water-logging hazards. Therefore, to overcome this problem, the groups were first arranged into 3 broad zones, namely arid, semi-arid and sub-humid according to a modified Thornthwaite approach, and the semi-arid locations were further divided into 5 zones based on the effective rainy period related to the cropping pattern. As the primary groupings refer to the most stable situation, they were again divided into 5 sub-zones each based on the level of dependability, which was characterized by the standard deviation of the commencement time of sowing rains. To account for some of the operational problems, such as water-logging, availability of field work days for cultural operations, etc., they were further divided into groups and sub-groups based on wet and dry spells and aridity index.

The derived zones and sub-zones of the semi-arid tropics are straight forward and easily memorised, and make sense agronomically. With the given classification structure it is easy to add new locations without further numerical analysis.

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