Predicting response of migratory fish populations to dam removal

D. Hayes, G. Fricano, J. Turek, A. Jordaan, B. Kulik, Mary Baker, Jason H. Murray
{"title":"Predicting response of migratory fish populations to dam removal","authors":"D. Hayes, G. Fricano, J. Turek, A. Jordaan, B. Kulik, Mary Baker, Jason H. Murray","doi":"10.14321/aehm.026.01.79","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":421207,"journal":{"name":"Aquatic Ecosystem Health and Management","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aquatic Ecosystem Health and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14321/aehm.026.01.79","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
预测洄游鱼类种群对大坝拆除的反应
拆除大坝是一种潜在的栖息地恢复替代方案,对自然资源的损害负有责任的各方可以通过它为鱼类数量的减少提供补偿。在自然资源损害评估过程中,预测洄游鱼类种群对候选水坝拆除的潜在反应是评估拟议行动是否提供足够补偿的关键步骤。目前还没有标准的方法来进行这样的预测,特别是在有水坝的候选河流的数据有限的情况下。我们考虑了解决这个问题的六种建模方法,并评估了每种方法在这个应用程序中的特性。我们认为,基于生境适宜性指数和加权可用面积的方法在预测能力和模型实施成本之间取得了最好的平衡。在广泛的渔业建模应用中,这种评估预测模型成本效益的平衡行为值得考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信