Predicting response of migratory fish populations to dam removal

Authors

  • Daniel Hayes Department of Fisheries and Wildlife, Michigan State University, 13 Natural Resource Building, East Lansing, MI 48824
  • Gail Fricano Industrial Economics, Incorporated, 2067 Massachusetts Ave. Cambridge, MA 02140
  • James Turek NOAA Restoration Center, 28 Tarzwell Drive, Narragansett, Rhode Island 02882
  • Adrian Jordaan Department of Environmental Conservation, University of Massachusetts Amherst, 309 Holdsworth Hall, Amherst, MA 01003
  • Brandon Kulik Kleinschmidt, 141 Main Street, Pittsfield, ME 04967
  • Mary Baker NOAA National Ocean Service (retired), 7600 Sand Point Way NE Seattle, Washington 98115
  • Jason Murray NOAA, National Ocean Service, 7600 Sand Point Way, NE, Seattle, WA 98115

Keywords:

population models, fish habitat, anadromous

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.

Published

2023-01-01