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生态学杂志 ›› 2012, Vol. 31 ›› Issue (11): 2877-2883.

• 研究报告 • 上一篇    下一篇

辽宁沿海城市带生态风险综合评价

杜宇飞1,李小玉1**,高宾2,胡海德3,何兴元1   

  1. (1中国科学院沈阳应用生态研究所, 沈阳 110016; 2北京师范大学资源学院, 北京 100875; 3中国科学院东北地理与农业生态研究所, 长春 130012)
  • 出版日期:2012-11-10 发布日期:2012-11-10

Integrative assessment of ecological risk in coastal cities of Liaoning Province, Northeast China.

DU Yu-fei1, LI Xiao-yu1**, GAO Bin2, HU Hai-de3, HE Xing-yuan1   

  1. (1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2College of Resource Science & Technology, Beijing Normal University, Beijing 100875, China; 3North Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China)
  • Online:2012-11-10 Published:2012-11-10

摘要: 基于辽宁沿海城市带1992和2007年2期遥感影像的解译数据,利用GIS空间分析技术,从土地利用变化和人口增长压力两个方面构建模型对辽宁沿海城市带生态风险进行了综合评价。结果表明:1992—2007年,生态风险格局呈现出由内陆向沿海(由北向南)逐步增加的趋势,地势平坦、交通发达和人口密集地区的生态风险较高;高海拔、人为干扰相对较少的山地和丘陵地区的生态风险较低;两个时期生态风险的转移矩阵表明,15年间不同生态风险等级之间的转化主要表现在低等级风险向高等级风险的发展,辽宁沿海城市带生态压力日益变大,生态风险等级和范围不断增加。

关键词:  , 总初级生产力,  ,  , BEPS模型,  , 参数优化, 最大羧化速率, 最大电子传递速率

Abstract: Based on the remote sensing images of 1992 and 2007, and by using GIS spatial analysis technique, a model about the land use change and population increase pressure in the coastal cities of Liaoning was built to comprehensively assess the ecological risk of these cities. The results showed that in 1992-2007, the ecological risk presented a pattern of gradual increasing from inland to coastal area, i.e., from north to south, with higher risk in flat, trafficdeveloped, and densely populated areas but lower risk in high elevation and less human disturbance mountainous and hilly regions. The transfer matrix of the ecological risk indicated that in the 15 years from 1992 to 2007, the conversion between different ecological risk levels was mainly from low-grade to highgrade risk, the ecological pressure of the cities became increasingly larger, and both the level and the scope of the ecological risk were increasing.

Key words: BEPS model, gross primary productivity, maximum potential rate of electron transport., parameter optimization, maximum rate of carboxylation