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Prioritizing in-stream barrier removal in Great Lakes tributaries

Neeson, Thomas, McIntyre, Peter, Januchowski-Hartley, Stephanie, Diebel, Matthew, Doran, Patrick, O'Hanley, J.R. (2012) Prioritizing in-stream barrier removal in Great Lakes tributaries. In: 5th Great Lakes Lake Sturgeon Coordination Meeting, 3 - 4 December 2012, Sault Ste. Marie (MI) United States. (Unpublished) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:38337)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://www.fws.gov/midwest/sturgeon/documents/2012...

Abstract

A key challenge in lake sturgeon restoration is their limited access to historical riverinespawning grounds, which are often upstream of barriers (dams, road?stream crossings). The removal ormodification of instream barriers can restore migratory pathways for sturgeon and other importantspecies, but the costs (economic, species invasions) and benefits (access to breeding habitats) differamong potential projects. The restoration community lacks a transparent method for comparing thesecosts and benefits to assess which barrier removal projects would offer the greatest return on investment.To address this problem, we are undertaking a three?step project with the goal of providing a decisionsupport tool for prioritizing barriers for removal. First, we have developed the most comprehensivedatabase to date of the location of dams (n=7,091) and road?stream crossings (n=268,818) in the GreatLakes Basin. Second, we have created a predictive statistical model to estimate the passability of each ofthese potential barriers for fishes. Third, we are currently developing mathematical optimization modelsto determine optimal barrier removal sequences to enhance the amount of breeding habitat madeavailable for a given budget. We will discuss the key factors that drive barrier prioritization, future dataneeds, and the strengths and limitations of applying optimization approaches to enhance lake sturgeonrestoration efforts.

Item Type: Conference or workshop item (Poster)
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Jesse O'Hanley
Date Deposited: 17 Feb 2014 15:38 UTC
Last Modified: 07 Oct 2021 14:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/38337 (The current URI for this page, for reference purposes)
O'Hanley, J.R.: https://orcid.org/0000-0003-3522-8585
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