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作 者:赵银兵[1,2] 倪忠云[1,2] 陈陵康[3] 南希[1] 赵勇[1]
机构地区:[1]地质灾害防治与地质环境保护国家重点实验室,成都610059 [2]成都理工大学旅游与城乡规划学院,成都610059 [3]江西理工大学资源与环境工程学院,江西赣州341000
出 处:《水土保持研究》2012年第3期180-184,共5页Research of Soil and Water Conservation
基 金:国家自然科学基金(40972225);2010年高等学校博士学科点专项科研基金(20105122120014);四川省教育厅重点项目(11ZA048);成都理工大学中青年骨干教师培养计划;西藏区调队生态地质研究所的大力支持;成都理工大学青年科学基金的大力支持;成都工大学大学教改项目(XJG1111)的大力支持
摘 要:土地利用景观格局反映环境特征及社会经济发展模式,可为资源开发和环境保护提供参考。应用1988年、2000年和2009年遥感数据,通过遥感信息提取、景观格局指标和转移矩阵计算,研究西藏曲水—桑日地区土地利用时空演变特征。结果表明:1988—2009年,研究区土地利用时空演变显著,各地类均发生转移,转移面积约占总面积的6%,灌木林、滩地、沙地和草地变化较大;耕地和沙地面积先增后降,建筑用地和工矿用地持续增长,高山湖泊面积总体减少;平均斑块面积增加,斑块密度减小,蔓延度先增后减,边缘密度、总边界长度和散布与并列指数先减后增;地类破碎度增加,有林地、建筑用地和工矿用地边缘密度增加;耕地、滩地、沙地和有林地平均斑块面积先增后减;滩地和湖泊散布与并列指数减小,工矿用地增大。该结果对土地资源保护具有重要意义。Land use patterns reflect the environmental characteristics and socio-economic development model, and provide a reference for resource development and environmental protection. Land use and its evolution information in study area were extracted by calculating landscape pattern metrics and transition matrix based on remote sensing data in 1988, 2000 and 2009. The results showed that each type of land use was shifted, the shifted area occupied for 6% of total area. The rate of land for bush beaches, sand and grass was greatly changed. The area changes of arable land and sand land firstly increased and then decreased; construction land and mining land increased continuously, alpine lakes generally reduced. The average area of land use patch increased, and patch density decreased, which contagion change firstly increased and then decreased, but the change trend of edge density, total boundary length and intersperse and juxtaposition index firstly decreased and then increased. Fragmentation increased, edge density of forest, building land and mining land increased; the average patch area increased first and then decreased; intersperse and juxtaposition index of beach and lake decreased, but intersperse and juxtaposition index of mining land increased. The result also showed that there was a close relationship between the landscape pattern and climate change, and human economic activities. This study result is important for government departments to protect land resources.
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