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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.
Vegetation cover has complex response relationship with natural evolution and human activities. Establishing multivariate statistical models of such complex relationships and identifying the main driving forces that influence vegetation cover are of great significance to the planting and protection of vegetation.In this paper, With the support of the platform, Quantitative Theory Ⅰ model was used to study the driving force of vegetation cover in the eastern Jilin Province. Natural factors data (elevation, slope, aspect, temperature, precipitation and river-lake distribution) and anthropogenic factors And urban intensity of change), the quantitative theory I model of the relationship between vegetation cover and each driving factor was established. The main driving forces that affected the vegetation cover change were analyzed from the perspective of the whole region and watershed division respectively. The results showed that all regions And modeling accuracy of each basin are high, and the results of basin analysis and the whole area analysis are basically the same: the elevation and slope of the topography factors in the study area have a greater impact on vegetation coverage, which is the main factor affecting vegetation coverage Driving force.