基于数量化理论Ⅰ的吉林东部植被覆盖驱动力  

Driving Influence Analysis of Vegetation Cover in Eastern Jilin Province Based on Quantification Theory Ⅰ

作　　者：林楠[1,2] 姜琦刚[1] 陈永良[3] 崔瀚文[1] 

机构地区：[1]吉林大学地球探测科学与技术学院,吉林长春130026 [2]吉林建筑大学测绘与勘查工程学院,吉林长春130018 [3]吉林大学综合信息矿产预测研究所,吉林长春130026

出　　处：《应用基础与工程科学学报》2014年第3期435-444,共10页Journal of Basic Science and Engineering

基　　金：中国地质调查局项目(1212010911084);国家自然科学基金项目(40872193;41072244)

摘　　要：植被覆盖与自然演变和人类活动存在着复杂的响应关系,建立这种复杂关系的多元统计模型并找出影响植被覆盖的主要驱动力,对植被的种植和保护具有重要意义.本文在RS和GIS平台支持下,把数量化理论Ⅰ模型用于吉林东部植被覆盖驱动力研究,分别选取自然因素数据(高程、坡度、坡向、温度、降水量和河湖分布数据)和人为因素数据(人口密度和城镇变化强度)共8个因子,建立植被覆盖与各驱动因子相关关系的数量化理论Ⅰ模型,分别从全区和流域划分的角度分析影响植被覆盖变化的主要驱动力,结果表明,全区和各流域建模精度均较高,而且各流域分析和全区分析得出的结果基本一致:在研究区内地形因子中的高程和坡度对植被覆盖的影响较大,是影响植被覆盖的主要驱动力.The responses of vegetation cover to human activity and nature evolution are very complicated. It makes sense to set up multivariate statistical model of that complicated responses and seek out the main driving force of vegetation cover for vegetation growing and protecting. Based on Remote Sensing and GIS technology, the quantification theory Ⅰ was used to analyze the driving influence. In this paper, eight factors were selected to set up the relationship between vegetation cover and every driving force using quantification theory Ⅰ. They were nature factors （ DEM, slope, aspect, temperature, river-lake distribution ） and human factors （ population density, and city change intensity）. The vegetation cover change driving force was studied in the whole study area and river basin. The results show that the model precisions of the whole study area and river basin are very high. The result of the whole study area is in agreement with that of river basin. DEM and slope, which are the main driving forces, have great impact on vegetation cover change.

关 键 词：植被覆盖 NDVI 数量化理论Ⅰ 驱动力 

分 类 号：S153[农业科学—土壤学] TP79[农业科学—农业基础科学]