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[中国西北疏勒河中游土地利用与景观格局的动态变化]

[Dynamic changes of land use and landscape patterns in middle reaches of Shule River, Northwest China].

作者信息

Pan Jing-Hu, Su You-Cai, Huang Yong-Sheng, Liu Xiao

机构信息

College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2012 Apr;23(4):1090-6.

Abstract

By using the MSS images in 1976, TM images in 1989 and 2010, and ETM+ images in 2000, in combining with GIS and landscape ecological methods, this paper analyzed the changes of land use/cover and landscape patterns in Yumen County at the middle reaches of Shule River from 1976 to 2010. In the study period, the major patterns of land use change in the County were the conversions from grassland and Gobi to farmland, from farmland to construction land, and from grassland to Gobi. Such a land use change underwent a process of 'slow - tremendous - obvious', during which, the landscape density increased, the largest path index decreased after an initial increase, the weighted area index increased, and the landscape shape became irregular. In the meantime, the nearest distances between patches and the separation among different patches decreased, the patches became more complex, and the landscape diversity and evenness increased after an initial decrease. The increased landscape diversity and fragmentation also showed that the land uses became more complex. The growth of agricultural population and the development of economy were the most direct driving forces of the land use/cover change in Yumen City, whereas the climatic and policy factors also had important effects on the land use change in the study area.

摘要

本文利用1976年的陆地卫星多光谱扫描仪(MSS)影像、1989年和2010年的专题制图仪(TM)影像以及2000年的增强型专题制图仪(ETM+)影像,结合地理信息系统(GIS)和景观生态学方法,分析了疏勒河中游玉门县1976年至2010年土地利用/覆盖变化及景观格局。研究期间,该县土地利用变化的主要模式是草地和戈壁转变为农田、农田转变为建设用地、草地转变为戈壁。这种土地利用变化经历了“缓慢—剧烈—明显”的过程,在此期间,景观密度增加,最大斑块指数先增加后减小,加权面积指数增加,景观形状变得不规则。同时,斑块间最近距离和不同斑块间的分离度减小,斑块变得更加复杂,景观多样性和均匀度先减小后增加。景观多样性和破碎化的增加也表明土地利用变得更加复杂。农业人口增长和经济发展是玉门市土地利用/覆盖变化最直接的驱动力,而气候和政策因素对研究区土地利用变化也有重要影响。

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