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基于景观结构的城乡交错带生态风险分析

荆玉平1,2;张树文1;李颖   

  1. 1中国科学院东北地理与农业生态研究所, 长春 130012; 2中国科学院研究生院, 北京 100039)
  • 收稿日期:2007-04-09 修回日期:1900-01-01 出版日期:2008-02-10 发布日期:2008-02-10

Ecological risk analysis of rural-urban ecotone based on landscape structure.

JING Yu-ping1,2; ZHANG Shu-wen1; LI Ying1   

  1. 1Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012, China; 2Graduate University of Chinese Academy of Sciences, Beijing 100039, China
  • Received:2007-04-09 Revised:1900-01-01 Online:2008-02-10 Published:2008-02-10

摘要: 以长春市净月开发区为例,基于2005年SPOT 5卫星遥感影像获取的土地利用信息,根据景观结构和土地利用特征,构造综合性生态风险指数;利用空间分析方法对生态风险指数进行空间化,并对生态风险指数采样结果进行半变异函数分析和空间插值分析,研究生态风险空间分布特征和形成机理。结果表明:研究区生态风险的空间分布表现出明显的区域不均匀性,形成了中间低、四周高的空间分布特征;通过与DEM数据叠加分析,表明生态风险指数与研究区的高程有一定的相关性,高程越低,生态风险强度越高,300 m以下区域中,高风险区域约占整个研究区高生态风险总面积的96%;生态风险的高值区主要位于研究区的西侧,长双公路与长伊公路之间,该区域地势较低,经济较为活跃,是开发区建设的重点区域,也是急需采取保护性措施的重点区域。

关键词: 根系, 觅食反应, 土壤养分, 空间异质性

Abstract: Taking the Jingyue Development District of Changchun as a case, an integrated ecological risk index was built based on the landscape structure and the feature of land-use/land-cover obtained from SPOT 5 remote sensing image. Semivariogram analysis and block Kriging interpolation were conducted to get the distribution map of ecological risk. The results showed that the spatial distribution of ecological risk had a significant regional variation, and the ological risk was higher in middle area than in peripheral area. The analysis by verlaying with DEM data suggested that the ecological risk index was negatively orrelated with elevation, and the higher ecological risk covered nearly 96% of all higher ecological risk region when the altitude was lower than 300 m. Higher ecological risk was mainly distributed in the west of Jingyue Development District between Changshuang Highway and Changyi Highway, the key construction region with low elevation and vigorous economy. Ecological protection should be urgently adopted in this area.

Key words: Fine root, Foraging behavior, Soil nutrients, Spatial heterogeneity