高级检索

河北省浅山丘陵区土地利用变化及人文驱动分析

Land use changes and its anthropogenic driving factors in hilly regions, Hebei Province

  • 摘要: 基于地形梯度差异分析浅山丘陵区土地利用变化及驱动因素,有助于针对地形特征进行土地利用规划和调控。本文引入地形位和分布指数,采用叠加法和主成分分析法,基于不同地形梯度,探讨了研究区土地利用变化及人文驱动因素,并提出了相应的土地利用结构调整方向。结果表明:1)Ⅰ区(地形位1-10)海拔较低,地形平缓,为耕地、建设用地和水域的优势分布区,土地利用动态度和土地利用程度最高,土地利用处于发展阶段;主要人文驱动因子为年末总人口、人口密度、地区生产总值、常用耕地面积、化肥施用量、有效灌溉面积、第二产业比重;2)Ⅱ区(地形位11-25)有一定地形起伏,是林草地结合的优势分布区,土地利用动态度与土地利用程度均较低,土地利用处于调整阶段;主要驱动因子为公路里程、农民人均纯收入、第一产业比重;3)Ⅲ区(地形位26-50)海拔高,地形破碎度大,是林地的优势分布区,土地利用动态度和土地利用程度相对最低;主要驱动因子为第一产业比重、常用耕地面积、粮食产量。

     

    Abstract: This paper examined the change of land use in hilly region and its driving factors based on terrain gradient difference. We firstly calculated terrain niche and distribution index. We then analyzed land use change and its driving factors in the study area using overlay and principal component analyses. According to the terrain niche, the study area could be classified as three sections. SectionⅠ(terrain niche: 1-10) has low altitude and is mainly dominated by plain topography. The main land use types of this section are crop land, construction land and water body. The land use of this area was in development stage. The main anthropogenic driving factors were demographic factors, technology progress, economic condition and economic structure,including the indexes of population, population density, GDP, cultivated land area, fertilizer usage, effective irrigation area and the proportion of secondary industry. section Ⅱ(terrain niche: 11-25) has undulating terrain. Grass land and forest land were the most advantageous land use types. However its land use was in the stage of adjustment. Main anthropogenic driving factors were economic structure, economic growth level and the farmers' income level, including the indexes of highway mileage, per capita net income of farmers, the proportion of primary industry. Section Ⅲ (terrain niche: 26 - 50) has highest altitude and fragmented topography. In this section forested land was the most advantageous land use type. Its main human driving factors were technology progress and economic structure, including the indexes of proportion of primary industry, common cultivated land area, food production. Results from this study would be beneficial for future land use planning and regulation.

     

/

返回文章
返回