Habitat suitability models based on different habitat suitability evaluation methods

被引:0
|
作者
Yi, Yujun [1 ]
Cheng, Xi [1 ]
机构
[1] Beijing Normal Univ, Sch Environm, Minist Educ, Key Lab Water & Sediment Sci, Beijing, Peoples R China
来源
PROCEEDINGS OF THE 36TH IAHR WORLD CONGRESS: DELTAS OF THE FUTURE AND WHAT HAPPENS UPSTREAM | 2015年
基金
中国国家自然科学基金;
关键词
Habitat suitability index model; Two-dimensional mathematic model; Chinese sturgeon; Three Gorges Project; Reservoir management; INSTREAM FLOW ASSESSMENT; RIVER; STREAM; RESTORATION;
D O I
暂无
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In addition to being a significant migration barrier, dams and artificial embankments alter their respective habitat's ecological conditions (depth, flow velocity, width and substrate). Moreover, the effects of Dams and artificial embankments are enhanced, causing downstream riverbed erosion, decreasing water quality and loss of habitat for some species. Due to the construction of large dams on the Yangtze River, the spawning sites of the Chinese sturgeon have been obstructed, and the survival of this species is in danger. Habitat suitability simulation model have been developed to analyze, assess, and quantify the impact of dam construction and operation on surrounding habitats and environments. By coupling the habitat suitability function and a two-dimensional mathematical model, a habitat suitability index model for Chinese sturgeon was established. Five methods, including a two-dimensional preference curve method, one-and two-dimensional expert knowledge-based fuzzy logic methods, and one-and two-dimensional data-driven fuzzy logic methods, were used to calculate the habitat suitability of Chinese sturgeon spawning grounds below the Gezhouba Dam. The result show that the data-driven fuzzy logic method is a good method when the amount and coverage (e.g., including very high and very low discharges) of the measured dataset are sufficient. However, conditions at different discharges can be taken into account comprehensively with the expert knowledge-based method when the available data are not sufficient.
引用
收藏
页码:874 / 879
页数:6
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