中国山区多为少数民族、贫困人口集中区和生态环境的脆弱区；农户生计方式与农户贫困、生态环境互为因果，相互反馈,因此，山区农户生计选择应以消除贫困、促进生态环境建设为立足点。目前，基于微观层面的农户生计与贫困、生态环境问题的系统研究非常缺乏。项目采取典型区域分析-研究样本重点解剖-典型区域总结的研究思路，以西南典型山区四川省凉山州为研究区域，运用可持续生计分析框架，以农户的广义生计策略选择为着眼点。首先，通过对基础数据进行数理分析和GIS空间分析，采用分层随机抽样法选取项目研究样本；然后，对样本区农户的广义生计策略展开剖析，揭示生计策略的空间差异和民族差异；最后，建立相应的数学模型，运用人地关系理论，分析生计策略与农户贫困、生态环境之间的内在机理，结合农户生计策略调整意愿,总结和提炼贫困山区农户生计策略选择和可持续生计模式。本研究可为贫困山区农户生计策略的研究和可持续生计政策的制定提供参考。

Most of Chinese mountainous areas are concentrated minorities and poor concentration as well as the fragile ecology.Farmers' livelihood strategies,poverty conditions and ecological environment affect each other.Therefore,the livelihood choices of mountain farmers' should be on the basis of eliminating poverty, promoting ecological environment construction .Currently, the research at the micro level based on farmer livelihoods and poverty, environmental problems is very lacking.The research framework of this project is: analysis of typical regions - detailed analysis of the household samples - summary of typical regions. The typical mountainous area Liangshan Yi Autonomous Prefecture of Sichuan province, southwest China was chosen as the study areas.Firstly, through the analysis of the basic data, based on the mathematical analysis and the GIS spatial analysis, this study uses stratified random sampling method to select the research samples.Then, the livelihood strategies in a broad sense of the sample households are detailed analyzed to reveal the spatial and ethnic differences in livelihood strategies. Finally,establish corresponding mathematical models, use theory of man-land relationship to analyze the relationship between livelihood strategies and poverty-stricken , ecological environment, and combining with the wishes of farmers , the research summarizes and extracts farmers livelihood strategies and sustainable livelihood model in impoverished mountainous area. This study will provide some references for research on farmers' livelihood strategies and farmers' livelihood sustainable development in impoverished mountainous areas.