Predicting response of migratory fish populations to dam removal

被引:2
|
作者
Hayes, Daniel [1 ]
Fricano, Gail [2 ]
Turek, James [3 ]
Jordaan, Adrian [4 ]
Kulik, Brandon [5 ]
Baker, Mary [6 ]
Murray, Jason [6 ]
机构
[1] Michigan State Univ, Dept Fisheries & Wildlife, 13 Nat Resource Bldg, E Lansing, MI 48824 USA
[2] Ind Econ Inc, 2067 Massachusetts Ave, Cambridge, MA 02140 USA
[3] NOAA Restorat Ctr, 28 Tarzwell Dr, Narragansett, RI 02882 USA
[4] Univ Massachusetts Amherst, Dept Environm Conservat, 309 Holdsworth Hall, Amherst, MA 01003 USA
[5] Kleinschmidt, 141 Main St, Pittsfield, ME 04967 USA
[6] NOAA Natl Ocean Serv, 7600 Sand Point Way NE, Seattle, WA 98115 USA
基金
美国海洋和大气管理局;
关键词
population models; fish habitat; anadromous; PINE RIVER; HABITAT; CONNECTIVITY; ASSEMBLAGES; IMPACTS;
D O I
10.14321/aehm.026.01.79
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Dam removal is a potential habitat restoration alternative through which parties responsible for injuries to natural resources can provide compensation for reductions in fish populations. Predicting the potential response of migratory fish populations to candidate dam removal(s) is a critical step in the natural resource damage assessment process to evaluate whether the proposed action provides adequate compensation. There is currently no standard approach to making such predictions, particularly in cases where data on candidate streams with dams are limited. We considered six modeling approaches for addressing this problem and evaluated the features of each approach for this application. We judged that an approach based on habitat suitability indices and weighted usable area provides the best balance between predictive capacity and cost of model implementation. This balancing act evaluating the cost effectiveness of predictive models is worth consideration in a wide range of fisheries modeling applications.
引用
收藏
页码:79 / 88
页数:10
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