Proper agricultural regionalization, that is the division of agricultural lands into uniform regions for agriculture development, is of crucial importance to farmers, researchers, and decision-makers in the context of utilizing and managing the red soil resource (Ultisols) of China. This paper shows how a soil information system (SIS) can be integrated using an optimal tree cluster approach so as to study agricultural regionalization. Taking Longyou County, Zhejiang Province as a case study, an SIS created in ARC/INFO was used to provide data acquisition, systematic model parameter assignment, and the visual display of analytic results. The topography, temperature, soil component (e.g. organic matter, pH), and the type of agricultural production were selected as parameters for the optimal tree cluster, in which Prim’s algorithm was adopted to calculate the minimal spanning tree. The effectiveness of this integration and recommendations are discussed for future research.
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- Integration of a Soil Information System and Optimum Tree Cluster for Agricultural Regionalization
A. A. Mohamad
R. C. Wang
- Springer Netherlands
Systemische Notwendigkeit zur Weiterentwicklung von Hybridnetzen