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作 者:陈端吕[1] 李际平[2] 肖化顺[2] 宋涛[2]
机构地区:[1]湖南文理学院资源环境与旅游学院,湖南常德415000 [2]中南林业科技大学资源与环境学院资源与环境学院,湖南长沙410000
出 处:《长江大学学报(自科版)(中旬)》2008年第2期23-28,共6页Journal of Yangtze University(Nature Science Edition)
基 金:湖南省教育厅青年项目(05B059);湖南省教育厅重点项目(05A027);湖南省社会科学基金(06JD24)
摘 要:采用主成分和灰色关联度方法,分析了西洞庭湖区森林景观格局与景观生态敏感的相关性,建立了森林景观格局生态敏感度评价指标体系。结果表明:(1)景观生态系统内部结构的不稳定性和对外界干扰的敏感性反映,体现了景观的敏感性程度;(2)森林景观格局的生态敏感度通过景观类型、地貌、坡度、土层厚度、年龄结构、郁闭度等级、群落结构来反映;(3)从森林景观类型的格局生态敏感度来看,灌木林、阔叶树类、经济林类、竹类最高,中等为杉木类、松木类,最低为非林地类;从评价等级来看,除了非林地外,所有的森林景观类型都为3以上,说明了全部为中等敏感度以上,这也反映了森林对外部环境干扰的敏感程度;(4)从区域的生态敏感度来看,生态敏感度最高的区域为桃源县和汉寿县,其次是临澧县、澧县和津市市,低度敏感区为安乡县、武陵区和鼎城区。Landscape ecological environment sensitivity is the ability of resistance to external pressure of landscape ecosystems in condition of insuring to reduce the quality of the environment.The dynamic forest landscape pattern changes will cause ecological functions of the regional flow of landscape functions in different types of landscape changes in the migration of the ecological environment and the trend of changes in underlying factors,there was a correlation between forest landscape pattern and ecological sensitivity.By using principal component analysis and gray correlation analysis method,the result shows that:(1)Ecological sensitivity is related to forest landscape pattern which can be reflected the internal structure of the forest eco-system;(2)Ecological sensitivity of the forest landscape pattern is reflected by the landscape types,topography,slope,soil thickness,age structure,canopy density levels,community structure;(3)Ecological sensitivity is evaluated by the forest landscape pattern types,the analysis showed that shrubbery,broadleaf forest,economic forest,bamboo forest is the sensitive,followed by chinese fir forest and pine forest and no-forest,and only no-forest is not middle sensitivity or high sensitivity;(4)By evaluating regional ecological sensitivity,the highest is Hanshou County,Taoyuan County,followed by the Linli County,and Lixian County,Lowest is Anxiang County,Wuling District and Dingcheng District.
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