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湖泊生态系统弹性系数理论及其应用

龙邹霞;余兴光   

  1. 国家海洋局第三海洋研究所, 福建厦门 361005
  • 收稿日期:2006-09-05 修回日期:1900-01-01 出版日期:2007-07-10 发布日期:2007-07-10

Lake ecosystem elasticity coefficient: Theory and application.

LONG Zou-xia;YU Xing-guang   

  1. Third Institute of Oceanography, State Oceanic Administration, Xiamen 361005, Fujian, China
  • Received:2006-09-05 Revised:1900-01-01 Online:2007-07-10 Published:2007-07-10

摘要: 在湖泊生态系统健康评价的基础上,分析城市湖泊营养状态的特殊性,论证得出响应型和非响应型湖泊的生态系统健康指数(EHI)与营养状态指数(TSI)近似呈二次函数关系。提出湖泊生态系统弹性系数,对生态系统健康指数(EHI)做出适当改进。改进后的生态系统健康指数(EHI′)能够更好地反映各类型湖泊的健康状态,完善了Xu等的EHI理论并扩展了其应用范围,是目前最为接近Costanza对HI定义的可量化计算的数学公式和方法,并成功用于厦门杏林湾生态系统健康评价。

关键词: 神经网络, 分级规划, 天然林保护, 规划举例, 倾斜因子

Abstract: Based on the particularity of urban lake tropic state and the progress in lake ecosystem health evaluation, it was demonstrated that the relationship between ecosystem health index (EHI) and trophic state index (TSI) of response and non-response lakes was near quadratic function. The lake ecosystem elasticity coefficient was put forward, and the EHI was improved, which could better reflect the healthy condition of various lakes, and made the theory of Xu et al. more perfect and applicable. The improved EHI might be a quantitatively computable formula, which was closest to the healthy index concept defined by Costanza as yet and applied successfully in the ecosystem health evaluation of Xiamen Xinglin Bay.

Key words: Neural network, Grade program, Natural forest protection, Program illustration, Inclining factor