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密云水库小流域不同尺度景观格局与水质的相关性分析
引用本文:刘文竹,王晓燕,欧洋.密云水库小流域不同尺度景观格局与水质的相关性分析[J].首都师范大学学报(自然科学版),2013(6):70-75.
作者姓名:刘文竹  王晓燕  欧洋
作者单位:[1]首都师范大学资源环境与旅游学院,北京100048 [2]中国科学院东北地理与农业生态研究所湿地生态与环境重点实验室,长春130012
摘    要:选取密云水库上游流域的安达木河、白马关河、清水河三个子流域为研究对象,利用地理信息系统技术与Fragstats3.3软件对两种河段尺度下(距河岸100 m宽,500 m与1 000 m长)的景观面积(TA)、斑块密度(PD)、边缘密度(ED)、蔓延度指数(CONTAG)四种景观格局指数进行计算和提取,分析了三个流域不同尺度下景观格局变化的差异情况.利用SPSS软件对研究区的49个采样点多年平均水质数据和景观格局指数进行相关性分析.结果表明,随着景观边缘密度(ED)的增加,水体中总氮(TN)、硝态氮(NO3—)的含量减少;随着耕地面积比例的增加,水体中的亚硝态氮(NO2—)的含量增加;不同尺度下景观指数与水质指数相关性程度有差异.研究区不同尺度上的景观格局特征与水质指标表现出较强的关联性.总体上看,较短河段尺度景观对水质的影响更大.

关 键 词:小尺度  景观格局  水质  相关性分析

Correlation Analysis between Landscape Pattern and Water Quality at Local Scale in the Upper Watershed of Miyun Reservoir
Liu Wenzhu,Wang Xiaoyan,Ou Yang.Correlation Analysis between Landscape Pattern and Water Quality at Local Scale in the Upper Watershed of Miyun Reservoir[J].Journal of Capital Normal University(Natural Science Edition),2013(6):70-75.
Authors:Liu Wenzhu  Wang Xiaoyan  Ou Yang
Institution:1. College of Resources, Environment & Tourism, Capital Normal University, Beijing 100048, China; 2. Key Lab of Wetland Ecology and Environment, Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012, China)
Abstract:To analyze the landscape pattern along river side at different scales(width of 100 m,length of 500 m and 1000 m respectively) in the upper watershed of Miyun Reservoir,GIS technology and Fragststs3.3 software were adopted to calculate and extract the four landscape indices: landscape area(TA),patch density(PD),edge density(ED),the spread of Index(CONTAG).Correlation analysis by SPSS software was used to identify the correlations between landscape pattern and water quality.The results showed that the landscape pattern and water quality had close relationship;as the landscape edge density(ED) increase,the total nitrogen(TP) and nitrate(NO 3 —N) decrease;as the proportion of arable land increase,the nitrite(NO 2 —N) increase.There is a difference between the two different scales and the correlation is much closer in smaller scale.
Keywords:local scale  landscape pattern  water quality  correlation analysis  
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