基于中观尺度的产量-土地质量指数方法初探

长期以来,土地可持续利用评价乃至基本的土地评价方法通常是静态的,评价结果是结论式的,与土地利用者的实际需求脱节,科学研究和成果应用被人为分割。Bouma等人提出的产量—土地质量指数方法不仅反映了土地可持续利用的农业生态内涵,其评价结果也是动态的,是不同利用方式下土地产量、经营风险和水土资源质量的组合,从而把研究和应用有机地结合。但是这种方法存在的最大缺点是需要长期大量的观测数据,使得其应用受到严格的限制,难以推广。因此依据其理论基础,立足于中观尺度,从社会经济的角度出发,改进并构建了产量—土地质量指数模型框架,该模型需要的数据较少,以社会经济的统计数据为主,因此还可对社会经济可持续性作进一步分析。参7。

A preliminary study of land quality indicators in local scale

In this paper a modified framework based on Bouma method was proposed with an input of far-less data.The hypothesis of the model was that the management behavior is continuous throughout the utilization of lands and that chemical fertilizer and pesticide applications are the main cause of environmental pollution in the agriculture.The productivity of lands was considered to be a dependent variable of capital and labor,the latter could be transformed into capital forms such as salary.Comparing with different land utilization types under a given capital input,we can obtain the possible yield and the accordingly potential pollution by the overdose of fertilizers and pesticides.Based on the social and economic data,further analysis on the returning rate and public health impact could be achieved.This modified framework can be applied much extensively but merit further improvement.