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Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset

Stephanie Januchowski-Hartley, Sayali K. Pawar, Xiao Yang Orcid Logo, Michiel Jorissen Orcid Logo, Rochelle Bristol, Sukhmani Mantel, James C. White, Fraser A. Januchowski-Hartley, José V. Roces-Díaz, Carlos Cabo Gomez, Maria Pregnolato Orcid Logo

Journal of Environmental Management, Volume: 321, Start page: 115959

Swansea University Author: Stephanie Januchowski-Hartley

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DOI (Published version): 10.1016/j.jenvman.2022.115959

Abstract

Freshwater species and their habitats, and transportation networks are at heightened risk from changing climate and are priorities for adaptation, with the sheer abundance and individuality of road-river structures complicating mitigation efforts. We present a new spatial dataset of road-river struc...

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Published in: Journal of Environmental Management
ISSN: 0301-4797
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60852
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spelling 2022-09-23T16:45:52.2600270 v2 60852 2022-08-18 Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset b634c6a9429ed84ced10e9033d27659d Stephanie Januchowski-Hartley Stephanie Januchowski-Hartley true false 2022-08-18 FGSEN Freshwater species and their habitats, and transportation networks are at heightened risk from changing climate and are priorities for adaptation, with the sheer abundance and individuality of road-river structures complicating mitigation efforts. We present a new spatial dataset of road-river structures attributed as culverts, bridges, or fords, and use this along with data on gradient and stream order to estimate structure sensitivity and exposure in and out of special areas of conservation (SAC) and built-up areas to determine vulnerability to damage across river catchments in Wales, UK. We then assess hazard of flooding likelihood at the most vulnerable structures to determine those posing high risk of impact on roads and river-obligate species (fishes and mussels) whose persistence depends on aquatic habitat connectivity. Over 5% (624/11,680) of structures are high vulnerability and located where flooding hazard is highest, posing high risk of impact to roads and river-obligate species. We assess reliability of our approach through an on-ground survey in a river catchment supporting an SAC and more than 40% (n = 255) of high-risk structures, and show that of the subset surveyed >50% had obvious physical degradation, streambank erosion, and scouring. Our findings help us to better understand which structures pose high-risk of impact to river-obligate species and humans with increased flooding likelihood. Journal Article Journal of Environmental Management 321 115959 Elsevier BV 0301-4797 Connectivity; Flooding; Risk; Rivers; Roads; Transportation; Vulnerability 1 11 2022 2022-11-01 10.1016/j.jenvman.2022.115959 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University SU Library paid the OA fee (TA Institutional Deal) Welsh European Funding Office 80761-SU-140 (West); European Regional Development Fund 80761-SU-140 (West); Engineering and Physical Sciences Research Council EP/R00742X/2 2022-09-23T16:45:52.2600270 2022-08-18T12:37:54.6322279 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Stephanie Januchowski-Hartley 1 Sayali K. Pawar 2 Xiao Yang 0000-0002-0046-832x 3 Michiel Jorissen 0000-0003-4755-9760 4 Rochelle Bristol 5 Sukhmani Mantel 6 James C. White 7 Fraser A. Januchowski-Hartley 8 José V. Roces-Díaz 9 Carlos Cabo Gomez 10 Maria Pregnolato 0000-0003-0796-9618 11 60852__25096__8a3e5e81e1084bc7a8b833c0fe892a62.pdf 60852_VoR.pdf 2022-09-08T16:55:44.9645532 Output 7021064 application/pdf Version of Record true © 2022 The Authors. This is an open access article under the CC BY license true eng http://creativecommons.org/licenses/by/4.0/
title Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset
spellingShingle Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset
Stephanie Januchowski-Hartley
title_short Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset
title_full Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset
title_fullStr Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset
title_full_unstemmed Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset
title_sort Supporting proactive planning for climate change adaptation and conservation using an attributed road-river structure dataset
author_id_str_mv b634c6a9429ed84ced10e9033d27659d
author_id_fullname_str_mv b634c6a9429ed84ced10e9033d27659d_***_Stephanie Januchowski-Hartley
author Stephanie Januchowski-Hartley
author2 Stephanie Januchowski-Hartley
Sayali K. Pawar
Xiao Yang
Michiel Jorissen
Rochelle Bristol
Sukhmani Mantel
James C. White
Fraser A. Januchowski-Hartley
José V. Roces-Díaz
Carlos Cabo Gomez
Maria Pregnolato
format Journal article
container_title Journal of Environmental Management
container_volume 321
container_start_page 115959
publishDate 2022
institution Swansea University
issn 0301-4797
doi_str_mv 10.1016/j.jenvman.2022.115959
publisher Elsevier BV
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 1
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description Freshwater species and their habitats, and transportation networks are at heightened risk from changing climate and are priorities for adaptation, with the sheer abundance and individuality of road-river structures complicating mitigation efforts. We present a new spatial dataset of road-river structures attributed as culverts, bridges, or fords, and use this along with data on gradient and stream order to estimate structure sensitivity and exposure in and out of special areas of conservation (SAC) and built-up areas to determine vulnerability to damage across river catchments in Wales, UK. We then assess hazard of flooding likelihood at the most vulnerable structures to determine those posing high risk of impact on roads and river-obligate species (fishes and mussels) whose persistence depends on aquatic habitat connectivity. Over 5% (624/11,680) of structures are high vulnerability and located where flooding hazard is highest, posing high risk of impact to roads and river-obligate species. We assess reliability of our approach through an on-ground survey in a river catchment supporting an SAC and more than 40% (n = 255) of high-risk structures, and show that of the subset surveyed >50% had obvious physical degradation, streambank erosion, and scouring. Our findings help us to better understand which structures pose high-risk of impact to river-obligate species and humans with increased flooding likelihood.
published_date 2022-11-01T04:19:18Z
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score 11.013148

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