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Optimizing multiple dam removals under multiple objectives: Linking tributary habitat and the Lake Erie ecosystem

机译:在多个目标下优化多个大坝的拆除:将支流栖息地与伊利湖生态系统联系起来

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摘要

A model is proposed for optimizing the net benefits of removing multiple dams in U.S. watersheds of Lake Erie by quantifying impacts upon social, ecological, and economic objectives of importance to managers and stakeholders. Explicit consideration is given to the linkages between newly accessible tributary habitat and the lake's ecosystem. The model is a mixed integer linear program (MILP) that selects a portfolio of potential dam removals that could achieve the best possible value of a weighted sum of the objective(s), while still satisfying the constraints. Using response functions extracted from the Lake Erie Ecological Model and an empirical cost model, the MILP accounts for ecological and economic effects of habitat changes for both desirable native walleye and undesirable sea lamprey. The solutions show the effect on removal decisions of alternative prioritizations among cost and environmental objectives and the resulting trade-offs among those objectives. The MILP can be used as a screening model to identify portfolios of dam removals that are potentially cost-effective enhancements of habitat and the Lake Erie ecosystem; subsequent site-specific studies would be needed prior to actually removing dams.
机译:提出了一种模型,该模型可通过量化对管理者和利益相关者重要的社会,生态和经济目标的影响来优化去除美国伊利湖流域的多个水坝的净收益。明确考虑了新近进入的支流栖息地与湖泊生态系统之间的联系。该模型是一个混合整数线性程序(MILP),用于选择潜在的大坝拆除项目组合,这些项目可以实现目标加权总和的最佳值,同时仍然满足约束条件。利用从伊利湖生态模型和经验成本模型中提取的响应函数,MILP解释了理想的本地角膜白斑和不良的南花椒的栖息地变化的生态和经济影响。解决方案显示了成本和环境目标之间的替代优先级对删除决策的影响,以及这些目标之间的权衡取舍。 MILP可以用作筛选模型,以识别大坝清除的投资组合,这些投资组合潜在地具有成本效益地改善了栖息地和伊利湖生态系统;在实际拆除水坝之前,需要进行随后的针对特定地点的研究。

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  • 来源
    《Water resources research》 |2009年第12期|W12417.1-W12417.14|共14页
  • 作者单位

    Department of Geography and Environmental Engineering, Johns Hopkins University, 3400 North Charles St., Ames Hall 313, Baltimore, MD 21218, USA;

    Department of Geography and Environmental Engineering, Johns Hopkins University, 3400 North Charles St., Ames Hall 313, Baltimore, MD 21218, USA;

    Department of Biology, Case Western Reserve University, 10900 Euclid Ave., Cleveland, OH 44106, USA;

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