Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand
Community participation is increasingly embedded into environmental policy with the aim of accelerating transformative change towards sustainable management. A common approach to engaging with communities is through key stakeholders, who are still often selected ad hoc based on their activities. We...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/69282 |
| Acceso en línea: | http://hdl.handle.net/10810/69282 |
| Access Level: | acceso embargado |
| Palabra clave: | Blueskin Bay ecological quality estuary hierarchical cluster analysis integrative management multi-attribute value theory multi-criteria analysis National Policy Statement for Freshwater Management stakeholder engagement |
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Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New ZealandLanghans, S.D.Neilson, A.Schallenberg, M.Blueskin Bayecological qualityestuaryhierarchical cluster analysisintegrative managementmulti-attribute value theorymulti-criteria analysisNational Policy Statement for Freshwater ManagementNational Policy Statement for Freshwater Managementstakeholder engagementCommunity participation is increasingly embedded into environmental policy with the aim of accelerating transformative change towards sustainable management. A common approach to engaging with communities is through key stakeholders, who are still often selected ad hoc based on their activities. We tested an analytical approach for identifying distinct groups of community preferences as part of a case study to develop a community-led management plan for Blueskin Bay estuary and its catchment. We interviewed 36 community members to elicit their preferences for predefined management objectives following a standardised protocol. Using an agglomerative hierarchical analysis, we determined value-preference clusters for high-level management objectives and more specific objectives. At both levels combined, preference clusters were attributed to some of the commercial interests, such as cockle harvesting, forestry or tourism, which we also identified ad hoc based on their activities in the Blueskin Bay area. However, in addition, cluster analyses revealed five additional preference types: Urban Development Advocates, Cultural Environmentalists, Economic Environmentalists, Integrative Thinkers and those with Diverse Interests. We conclude that cluster analysis more objectively and specifically maps community preferences and, consequently, increases the robustness of collaborative environmental management processes, such as the one underway for Blueskin Bay estuary. © 2022 The Royal Society of New Zealand.SDL and AL were supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 748625 and María de Maeztu excellence accreditation 2018–2022 (Ref. MDM-2017-0714), funded by MCIN/AEI/10.13039/501100011033. MS was supported by the University of Otago Zoology Department. The written informed consent for publication of the participants’ preferences was obtained from the participants. The interviews were conducted according to the requirements of ethics and integrity in Article 34 of the H2020 Programme Multi-Beneficiary Model Grant Agreement (i.e. ethics approval to interview the participants was granted by the Human Ethics Committee of the University of Otago). The authors would like to thank everyone who attended the community workshops and who contributed their time, values, and expertise. The authors also appreciate the valuable comments from Jim Sinner, an anonymous reviewer and Joanne Clapcott, which considerably improved the manuscript.New Zealand Journal of Marine and Freshwater ResearchEuropean Commission202420242022info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/69282reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MINECO/MDM-2017-0714/https://dx.doi.org/10.1080/00288330.2022.2103159info:eu-repo/semantics/embargoedAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/es/© 2022 The Royal Society of New Zealand.Atribución-NoComercial-CompartirIgual 3.0 Españaoai:addi.ehu.eus:10810/692822026-06-18T09:23:17Z |
| dc.title.none.fl_str_mv |
Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand |
| title |
Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand |
| spellingShingle |
Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand Langhans, S.D. Blueskin Bay ecological quality estuary hierarchical cluster analysis integrative management multi-attribute value theory multi-criteria analysis National Policy Statement for Freshwater Management National Policy Statement for Freshwater Management stakeholder engagement |
| title_short |
Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand |
| title_full |
Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand |
| title_fullStr |
Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand |
| title_full_unstemmed |
Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand |
| title_sort |
Cluster analysis reveals latent structure in stakeholder interests relevant to the management of Blueskin Bay estuary, Otago, Aotearoa New Zealand |
| dc.creator.none.fl_str_mv |
Langhans, S.D. Neilson, A. Schallenberg, M. |
| author |
Langhans, S.D. |
| author_facet |
Langhans, S.D. Neilson, A. Schallenberg, M. |
| author_role |
author |
| author2 |
Neilson, A. Schallenberg, M. |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
European Commission |
| dc.subject.none.fl_str_mv |
Blueskin Bay ecological quality estuary hierarchical cluster analysis integrative management multi-attribute value theory multi-criteria analysis National Policy Statement for Freshwater Management National Policy Statement for Freshwater Management stakeholder engagement |
| topic |
Blueskin Bay ecological quality estuary hierarchical cluster analysis integrative management multi-attribute value theory multi-criteria analysis National Policy Statement for Freshwater Management National Policy Statement for Freshwater Management stakeholder engagement |
| description |
Community participation is increasingly embedded into environmental policy with the aim of accelerating transformative change towards sustainable management. A common approach to engaging with communities is through key stakeholders, who are still often selected ad hoc based on their activities. We tested an analytical approach for identifying distinct groups of community preferences as part of a case study to develop a community-led management plan for Blueskin Bay estuary and its catchment. We interviewed 36 community members to elicit their preferences for predefined management objectives following a standardised protocol. Using an agglomerative hierarchical analysis, we determined value-preference clusters for high-level management objectives and more specific objectives. At both levels combined, preference clusters were attributed to some of the commercial interests, such as cockle harvesting, forestry or tourism, which we also identified ad hoc based on their activities in the Blueskin Bay area. However, in addition, cluster analyses revealed five additional preference types: Urban Development Advocates, Cultural Environmentalists, Economic Environmentalists, Integrative Thinkers and those with Diverse Interests. We conclude that cluster analysis more objectively and specifically maps community preferences and, consequently, increases the robustness of collaborative environmental management processes, such as the one underway for Blueskin Bay estuary. © 2022 The Royal Society of New Zealand. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2024 2024 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10810/69282 |
| url |
http://hdl.handle.net/10810/69282 |
| dc.language.none.fl_str_mv |
Inglés |
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Inglés |
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info:eu-repo/grantAgreement/MINECO/MDM-2017-0714/ https://dx.doi.org/10.1080/00288330.2022.2103159 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/embargoedAccess http://creativecommons.org/licenses/by-nc-sa/3.0/es/ © 2022 The Royal Society of New Zealand. Atribución-NoComercial-CompartirIgual 3.0 España |
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embargoedAccess |
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http://creativecommons.org/licenses/by-nc-sa/3.0/es/ © 2022 The Royal Society of New Zealand. Atribución-NoComercial-CompartirIgual 3.0 España |
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application/pdf |
| dc.publisher.none.fl_str_mv |
New Zealand Journal of Marine and Freshwater Research |
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New Zealand Journal of Marine and Freshwater Research |
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reponame:Addi. Archivo Digital para la Docencia y la Investigación instname:Universidad del País Vasco |
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Universidad del País Vasco |
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Addi. Archivo Digital para la Docencia y la Investigación |
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Addi. Archivo Digital para la Docencia y la Investigación |
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