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作 者:杨维鸽[1] 陈海[1,2] 杨明楠[1] 张波[1] 庞国伟[3]
机构地区:[1]西北大学城市与环境学院,西安710069 [2]中国科学院,水利部水土保持研究所,陕西杨凌712100 [3]中国科学院水利部水土保持研究所,陕西杨凌712100
出 处:《自然资源学报》2010年第4期646-656,共11页Journal of Natural Resources
基 金:国家自然科学基金国家青年项目(40601005);陕西省文化产业研究院(ks07111oky23)
摘 要:土地利用变化驱动力研究一直是学者们关注的热点问题之一,土地利用驱动力在不同尺度的变化也越来越受学者们关注。论文以陕西省米脂县高西沟村为研究区域,在地形图、航片解译数据及2009年实际测量数据和农户调查数据的基础上,基于多层次模型的理论,借助HLM6.07(student)软件工具,构建从地块(微观尺度)到农户(中观尺度)的二层土地利用决策影响因素模型,试图揭示微观层面土地利用决策的影响因素在不同尺度上的变化机制。研究结果表明:①农户选择种植土豆、谷子作物的土地利用决策与地块的自然因素和农户的社会经济因素有关;②农户种植土豆、谷子行为决策的影响因素存在差异;③将多层次模型应用到从微观尺度到中观尺度分析农户土地利用决策影响因素是符合实际情况的,这为进一步构建影响农户土地利用决策的因素——微观尺度(地块)、中观尺度(农户)、宏观尺度(村庄)的三层模型奠定了基础,同时为研究土地利用决策机制提供了一种方法。The driving forces of land use change are always the focus of the problems which scholars are interested in and the changes of the driving forces of land use change in different scales are becoming the center attention by scholars.This paper took Gaoxigou village,Mizhi County,Shaanxi Province as an example.The data we used including aerial interpretation,topographic map data and the actual measurement data and household surveys data which we acquired in the summer vacation of 2009.This paper tries to reveal driving factors change mechanism in different scales from the micro level of land use changes based on the software of HLM6.07(student) and multi-level model from the plot to the household land.The results show that:(1) The decision-making behavior of households' growing potatoes and rice crop were major drivered by the natural factors of plot and the social and economic factors of households.(2)The factors of farmers behavior of decision-making to plant potatoes or millet were different.(3) Multi-level model is appropriate to analyze the factors of the households' land-use decision-making in the micro-scale and meso-scale.It not only lays the foundation to further build the three layers model of affecting households' land-use decision-making in the micro-scale(plot),meso-scale(households),the macro-scale(village),but also provides a way to study the mechanism of the land use decision-making.
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