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Data from: A toolkit for optimizing fish passage barrier mitigation actions

Data from: A toolkit for optimizing fish passage barrier mitigation actions
Data from: A toolkit for optimizing fish passage barrier mitigation actions
The presence of dams, stream–road crossings and other infrastructure often compromises the connectivity of rivers, leading to reduced fish abundance and diversity. The assessment and mitigation of river barriers is critical to the success of restoration efforts aimed at restoring river integrity. In this study, we present a combined modelling approach involving statistical regression methods and mixed integer linear programming to maximize resident fish species richness within a catchment through targeted barrier mitigation. Compared to existing approaches, our proposed method provides enhanced biological realism while avoiding the use of complex and computationally intensive population/ecosystem models. To estimate barrier passability quickly and at low cost, we further outline a rapid barrier assessment methodology. The methodology is used to characterize potential passage barriers for various fish species common to the UK but can be readily adapted to different planning areas and other species of interest. We demonstrate the applicability of our barrier assessment and prioritization approach based on a case study of the River Wey, located in south-east England. We find that significant increases in species richness can be achieved for modest investment in barrier mitigation. In particular, dams and weirs with low passability located on mid- to high-order streams are identified as top priorities for mitigation. Synthesis and applications. Our study shows the benefits of combining a coarse resolution barrier assessment methodology with state-of-the-art optimization modelling to cost-effectively plan fish passage barrier mitigation actions. The modelling approach can help inform on-the-ground river restoration decision-making by providing a recommended course of action that best allocates limited resources in order to restore longitudinal connectivity and maximize ecological gains.,River Wey Fish Sampling DataRiver Wey fish sampling dataset used in species richness regression analysis (King et al. 2016).River Wey Barrier DataRiver Wey barrier dataset used in barrier optimization analysis (King et al. 2016).OPL modelCPLEX Studio OPL project, including (.mod), data (.dat), settings (.ops) files, and Excel (.xlsx) files, used in performing optimization analysis (King et al. 2016).
DRYAD
King, Steven
b7710549-9a07-455e-8b9d-cd387f41c19c
O'Hanley, Jesse R.
2707f5a7-d68e-45f6-8b24-35335d3fca1e
Newbold, Lynda R.
171cd17b-4dda-4265-841b-5821363fca3a
Kemp, Paul S.
9e33fba6-cccf-4eb5-965b-b70e72b11cd7
Diebel, Matthew W.
6cbfc0cc-1339-4dc1-9c46-a2367398f10e
King, Steven
b7710549-9a07-455e-8b9d-cd387f41c19c
O'Hanley, Jesse R.
2707f5a7-d68e-45f6-8b24-35335d3fca1e
Newbold, Lynda R.
171cd17b-4dda-4265-841b-5821363fca3a
Kemp, Paul S.
9e33fba6-cccf-4eb5-965b-b70e72b11cd7
Diebel, Matthew W.
6cbfc0cc-1339-4dc1-9c46-a2367398f10e

(2017) Data from: A toolkit for optimizing fish passage barrier mitigation actions. DRYAD doi:10.5061/dryad.46vf8 [Dataset]

Record type: Dataset

Abstract

The presence of dams, stream–road crossings and other infrastructure often compromises the connectivity of rivers, leading to reduced fish abundance and diversity. The assessment and mitigation of river barriers is critical to the success of restoration efforts aimed at restoring river integrity. In this study, we present a combined modelling approach involving statistical regression methods and mixed integer linear programming to maximize resident fish species richness within a catchment through targeted barrier mitigation. Compared to existing approaches, our proposed method provides enhanced biological realism while avoiding the use of complex and computationally intensive population/ecosystem models. To estimate barrier passability quickly and at low cost, we further outline a rapid barrier assessment methodology. The methodology is used to characterize potential passage barriers for various fish species common to the UK but can be readily adapted to different planning areas and other species of interest. We demonstrate the applicability of our barrier assessment and prioritization approach based on a case study of the River Wey, located in south-east England. We find that significant increases in species richness can be achieved for modest investment in barrier mitigation. In particular, dams and weirs with low passability located on mid- to high-order streams are identified as top priorities for mitigation. Synthesis and applications. Our study shows the benefits of combining a coarse resolution barrier assessment methodology with state-of-the-art optimization modelling to cost-effectively plan fish passage barrier mitigation actions. The modelling approach can help inform on-the-ground river restoration decision-making by providing a recommended course of action that best allocates limited resources in order to restore longitudinal connectivity and maximize ecological gains.,River Wey Fish Sampling DataRiver Wey fish sampling dataset used in species richness regression analysis (King et al. 2016).River Wey Barrier DataRiver Wey barrier dataset used in barrier optimization analysis (King et al. 2016).OPL modelCPLEX Studio OPL project, including (.mod), data (.dat), settings (.ops) files, and Excel (.xlsx) files, used in performing optimization analysis (King et al. 2016).

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More information

Published date: 2017

Identifiers

Local EPrints ID: 448680
URI: http://eprints.soton.ac.uk/id/eprint/448680
PURE UUID: e0332310-42c5-4880-8277-c8d814b301e9
ORCID for Paul S. Kemp: ORCID iD orcid.org/0000-0003-4470-0589

Catalogue record

Date deposited: 29 Apr 2021 16:32
Last modified: 06 May 2023 01:40

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Contributors

Contributor: Steven King
Contributor: Jesse R. O'Hanley
Contributor: Lynda R. Newbold
Contributor: Paul S. Kemp ORCID iD
Contributor: Matthew W. Diebel

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