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湖南省桃源县县域景观格局变化及驱动力典型相关分析
引用本文:路鹏,苏以荣,牛铮,吴金水.湖南省桃源县县域景观格局变化及驱动力典型相关分析[J].中国水土保持科学,2006,4(5):71-76.
作者姓名:路鹏  苏以荣  牛铮  吴金水
作者单位:1. 中国科学院遥感应用研究所遥感科学国家重点实验室,100101,北京;中国科学院亚热带农业生态研究所,410125,长沙
2. 中国科学院亚热带农业生态研究所,410125,长沙
3. 中国科学院遥感应用研究所遥感科学国家重点实验室,100101,北京
基金项目:国家自然科学基金;中国科学院知识创新工程项目
摘    要: 利用亚热带桃源县19801、995、2000年3个时期的TM影像及景观生态学的原理和定量分析方法,分析该区域的景观格局特征和变化。结果表明:县域整体景观水平以林地和水田为景观基质,其他景观类型作为斑块镶嵌其中。斑块的平均面积和斑块平均边缘在逐年下降,平均每年分别下降497.90hm2和646.95m,说明景观的破碎程度在逐年加强。研究区域的景观均匀度表现出先减少后增加的趋势,而优势度表现出先增加后减少的趋势,表明景观格局有向小景观要素转化的趋势。同时应用典型相关分析,对研究区景观格局变化的主要驱动力进行统计分析,诊断出主要驱动因子为劳动力总数、劳动力密度、农村社会总产值等,不同的典型变量对应着不同的驱动因子。

关 键 词:景观格局  驱动力  典型相关分析  湖南省
收稿时间:2006-04-17
修稿时间:2006-07-01

Landscape pattern changes and driving force at county level in Hunan Province
Lu Peng,Su Yirong,Niu Zheng,Wu Jinshui.Landscape pattern changes and driving force at county level in Hunan Province[J].Science of Soil and Water Conservation,2006,4(5):71-76.
Authors:Lu Peng  Su Yirong  Niu Zheng  Wu Jinshui
Institution:1. The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing; 2. The Institute of Subtropical Agriculture, Chinese Academy of Sciences, 410125, Changsha, China
Abstract:Based on the interpretation of TM imageries in 1980、1995、2000,the theory of landscape-ecology and the method of quantitative analysis,the characteristics and changes of landscape pattern in Taoyuan county were analyzed.The results showed that the matrix landscape in this area was woodlands and paddy field,which were embedded by other landscape patches.The average area and perimeter of patches decreased annually by 497.90hm2 and 646.95m respectively,which indicated that landscape fragmentation enhanced gradually.Landscape evenness decreased first and then increased,however,the dominance had the reverse trend.These results showed that landscape pattern will become smaller and smaller.In the study,canonical correlation analysis was applied to identify the driving forces of landscape pattern change and the different driving factors were labour forces,labour density,and rural social gross output value.The different canonical variants had different driving factors.
Keywords:landscape pattern  driving force  Canonical Correlation Analysis  Hunan Province
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