Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea

1. Connectivity of marine populations and ecosystems is crucial to maintaining and enhancing their structure, distribution, persistence, resilience and productivity. Artificial hard substrate, such as that associated with oil and gas platforms, provides settlement opportunities for species adapted t...

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Detalhes bibliográficos
Autores: Tidbury, Hannah, Taylor, Nick, Johan, Vanmolen, García-García, Luz, Posen, Paulette, Gill, Andrew, Lincoln, Susana, Judd, Andrian, Hyder, Kieran
Tipo de documento: artigo
Data de publicação:2020
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/320160
Acesso em linha:http://hdl.handle.net/10261/320160
Access Level:Acceso aberto
Palavra-chave:artificial hard substrate
Sede Central IEO
Medio Marino y Protección Ambiental
connectivity
decommissioning
marine management
marine spatial planning
Offshore energy
particle tracking
social network analysis
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spelling Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North SeaTidbury, HannahTaylor, NickJohan, VanmolenGarcía-García, LuzPosen, PauletteGill, AndrewLincoln, SusanaJudd, AndrianHyder, Kieranartificial hard substrateSede Central IEOMedio Marino y Protección Ambientalconnectivitydecommissioningmarine managementmarine spatial planningOffshore energyparticle trackingsocial network analysis1. Connectivity of marine populations and ecosystems is crucial to maintaining and enhancing their structure, distribution, persistence, resilience and productivity. Artificial hard substrate, such as that associated with oil and gas platforms, provides settlement opportunities for species adapted to hard substrates in areas of soft sediment. The contribution of artificial hard substrate and the consequences of its removal (e.g. through decommissioning) to marine connectivity is not clear, yet such information is vital to inform marine spatial planning and future policy decisions on the use and protection of marine resources. 2. This study demonstrates the application of a social network analysis approach to quantify and describe the ecological connectivity, informed by particle tracking model outputs, of hard substrate marine communities in the North Sea. Through comparison of networks with and without artificial hard substrate, and based on hypothetical decommissioning scenarios, this study provides insight into the contribution of artificial hard substrate, and the consequence of decommissioning, to the structure and function of marine community connectivity. 3. This study highlights that artificial hard substrate, despite providing only a small proportion of the total area of hard substrate, increases the geographic extent and connectivity of the hard substrate network, bridging gaps, thereby providing ‘stepping stones’ between otherwise disconnected areas of natural hard substrate. Compared to the baseline scenario, a decommissioning scenario with full removal of oil and gas platforms results in a nearly 60% reduction in connectivity. Such reduction in connectivity may have negative implications for species’ distribution, gene flow and resilience following disturbance or exploitation of marine hard substrate communities. 4. Synthesis and applications. Social network analysis can provide valuable insight into connectivity between marine communities and enable the evaluation of impacts associated with changes to the marine environment. Providing standardized, transparent and robust outputs, such a tool is useful to facilitate understanding across different disciplines, including marine science, marine spatial planning and marine policy. Social network analysis therefore has great potential to address current knowledge gaps with respect to marine connectivity and crucially facilitate assessment of the impacts of changes in offshore substrate as part of the marine spatial planning process, thereby informing policy and marine management decisions.NoJohn Wiley & Sons202320232020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/320160reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSede Central IEOinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3201602026-05-22T06:33:51Z
dc.title.none.fl_str_mv Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea
title Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea
spellingShingle Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea
Tidbury, Hannah
artificial hard substrate
Sede Central IEO
Medio Marino y Protección Ambiental
connectivity
decommissioning
marine management
marine spatial planning
Offshore energy
particle tracking
social network analysis
title_short Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea
title_full Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea
title_fullStr Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea
title_full_unstemmed Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea
title_sort Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea
dc.creator.none.fl_str_mv Tidbury, Hannah
Taylor, Nick
Johan, Vanmolen
García-García, Luz
Posen, Paulette
Gill, Andrew
Lincoln, Susana
Judd, Andrian
Hyder, Kieran
author Tidbury, Hannah
author_facet Tidbury, Hannah
Taylor, Nick
Johan, Vanmolen
García-García, Luz
Posen, Paulette
Gill, Andrew
Lincoln, Susana
Judd, Andrian
Hyder, Kieran
author_role author
author2 Taylor, Nick
Johan, Vanmolen
García-García, Luz
Posen, Paulette
Gill, Andrew
Lincoln, Susana
Judd, Andrian
Hyder, Kieran
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv artificial hard substrate
Sede Central IEO
Medio Marino y Protección Ambiental
connectivity
decommissioning
marine management
marine spatial planning
Offshore energy
particle tracking
social network analysis
topic artificial hard substrate
Sede Central IEO
Medio Marino y Protección Ambiental
connectivity
decommissioning
marine management
marine spatial planning
Offshore energy
particle tracking
social network analysis
description 1. Connectivity of marine populations and ecosystems is crucial to maintaining and enhancing their structure, distribution, persistence, resilience and productivity. Artificial hard substrate, such as that associated with oil and gas platforms, provides settlement opportunities for species adapted to hard substrates in areas of soft sediment. The contribution of artificial hard substrate and the consequences of its removal (e.g. through decommissioning) to marine connectivity is not clear, yet such information is vital to inform marine spatial planning and future policy decisions on the use and protection of marine resources. 2. This study demonstrates the application of a social network analysis approach to quantify and describe the ecological connectivity, informed by particle tracking model outputs, of hard substrate marine communities in the North Sea. Through comparison of networks with and without artificial hard substrate, and based on hypothetical decommissioning scenarios, this study provides insight into the contribution of artificial hard substrate, and the consequence of decommissioning, to the structure and function of marine community connectivity. 3. This study highlights that artificial hard substrate, despite providing only a small proportion of the total area of hard substrate, increases the geographic extent and connectivity of the hard substrate network, bridging gaps, thereby providing ‘stepping stones’ between otherwise disconnected areas of natural hard substrate. Compared to the baseline scenario, a decommissioning scenario with full removal of oil and gas platforms results in a nearly 60% reduction in connectivity. Such reduction in connectivity may have negative implications for species’ distribution, gene flow and resilience following disturbance or exploitation of marine hard substrate communities. 4. Synthesis and applications. Social network analysis can provide valuable insight into connectivity between marine communities and enable the evaluation of impacts associated with changes to the marine environment. Providing standardized, transparent and robust outputs, such a tool is useful to facilitate understanding across different disciplines, including marine science, marine spatial planning and marine policy. Social network analysis therefore has great potential to address current knowledge gaps with respect to marine connectivity and crucially facilitate assessment of the impacts of changes in offshore substrate as part of the marine spatial planning process, thereby informing policy and marine management decisions.
publishDate 2020
dc.date.none.fl_str_mv 2020
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/320160
url http://hdl.handle.net/10261/320160
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sede Central IEO
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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