Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties
Area-based conservation remains the principal strategy for preserving biodiversity, yet current planning approaches inadequately consider two critical uncertainties: future trajectories of socio-environmental drivers of environmental degradation and preferences for alternate conservation objectives....
| Autores: | , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/424782 |
| Acceso en línea: | http://hdl.handle.net/10261/424782 https://api.elsevier.com/content/abstract/scopus_id/105027198805 |
| Access Level: | acceso abierto |
| Palabra clave: | Land use change Conservation planning Ecosystem services |
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Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertaintiesBlack, BenjaminAdde, AntoineKülling, NathanBüth, CarlsonKurmann, ManuelLehmann, AnthonyAltermatt, FlorianGuisan, AntoineGrêt-Regamey, AdrienneLand use changeConservation planningEcosystem servicesArea-based conservation remains the principal strategy for preserving biodiversity, yet current planning approaches inadequately consider two critical uncertainties: future trajectories of socio-environmental drivers of environmental degradation and preferences for alternate conservation objectives. This study demonstrates how spatial conservation prioritization can be integrated with scenario-based simulation modelling to systematically evaluate conservation strategies under these uncertainties. We simulated conservation area expansion strategies (e.g. timing and extent of interventions) in Switzerland (2020-2060) using a comprehensive full-factorial design testing approaches across five scenarios of climate change, land-use change, and conservation priorities, with strategy robustness assessed through impacts on ten ecosystem services (ES) characterized across both space and time. Results revealed substantial variation in ES provision under alternative futures, with pronounced spatial shifts in service delivery. Critically, only limited spatial overlap existed between regions displaying the highest ES robustness and areas prioritized for protection based on current ecological value, demonstrating the inadequacy of planning approaches that ignore future uncertainties. The most consistently robust strategy for securing ES provision involved rapidly expanding conservation areas to 30% coverage (aligned with the Kunming-Montreal Global Biodiversity Framework target), prioritizing small patches in human-dominated landscapes, and employing mixed management combining both preservation and restoration. However, strategy effectiveness varied across different ES and scenarios, indicating that optimal approaches must account for societal preferences regarding trade-offs between services. This research addresses a recognized gap in conservation planning science and provides both methodological guidance for uncertainty-informed planning and specific recommendations for Switzerland's pursuit of the 30x30 target under accelerating environmental change.We gratefully acknowledge financial support from the Swiss Federal Office for the Environment (FOEN) under the project “ValPar.CH: Values of the ecological infrastructure in Swiss parks” of the Action Plan of the Swiss Biodiversity Strategy.Peer reviewedElsevierFederal Office for the Environment (Switzerland)Black, Benjamin [0000-0002-8113-2114]Adde, Antoine [0000-0003-4388-0880]Külling, Nathan [0009-0006-2942-3009]Büth, Carlson [0000-0003-2298-8438]Kurmann, Manuel [0000-0001-8411-3966]Lehmann, Anthony [0000-0002-8279-8567]Altermatt, Florian [0000-0002-4831-6958]Guisan, Antoine [0000-0002-3998-4815]Grêt-Regamey, Adrienne [0000-0001-8156-9503]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262026info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/424782https://api.elsevier.com/content/abstract/scopus_id/105027198805reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésThe underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.jenvman.2025.128395https://doi.org/10.1016/j.jenvman.2025.128395Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4247822026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties |
| title |
Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties |
| spellingShingle |
Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties Black, Benjamin Land use change Conservation planning Ecosystem services |
| title_short |
Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties |
| title_full |
Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties |
| title_fullStr |
Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties |
| title_full_unstemmed |
Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties |
| title_sort |
Identifying robust area-based conservation strategies to secure ecosystem service provision under uncertainties |
| dc.creator.none.fl_str_mv |
Black, Benjamin Adde, Antoine Külling, Nathan Büth, Carlson Kurmann, Manuel Lehmann, Anthony Altermatt, Florian Guisan, Antoine Grêt-Regamey, Adrienne |
| author |
Black, Benjamin |
| author_facet |
Black, Benjamin Adde, Antoine Külling, Nathan Büth, Carlson Kurmann, Manuel Lehmann, Anthony Altermatt, Florian Guisan, Antoine Grêt-Regamey, Adrienne |
| author_role |
author |
| author2 |
Adde, Antoine Külling, Nathan Büth, Carlson Kurmann, Manuel Lehmann, Anthony Altermatt, Florian Guisan, Antoine Grêt-Regamey, Adrienne |
| author2_role |
author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Federal Office for the Environment (Switzerland) Black, Benjamin [0000-0002-8113-2114] Adde, Antoine [0000-0003-4388-0880] Külling, Nathan [0009-0006-2942-3009] Büth, Carlson [0000-0003-2298-8438] Kurmann, Manuel [0000-0001-8411-3966] Lehmann, Anthony [0000-0002-8279-8567] Altermatt, Florian [0000-0002-4831-6958] Guisan, Antoine [0000-0002-3998-4815] Grêt-Regamey, Adrienne [0000-0001-8156-9503] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Land use change Conservation planning Ecosystem services |
| topic |
Land use change Conservation planning Ecosystem services |
| description |
Area-based conservation remains the principal strategy for preserving biodiversity, yet current planning approaches inadequately consider two critical uncertainties: future trajectories of socio-environmental drivers of environmental degradation and preferences for alternate conservation objectives. This study demonstrates how spatial conservation prioritization can be integrated with scenario-based simulation modelling to systematically evaluate conservation strategies under these uncertainties. We simulated conservation area expansion strategies (e.g. timing and extent of interventions) in Switzerland (2020-2060) using a comprehensive full-factorial design testing approaches across five scenarios of climate change, land-use change, and conservation priorities, with strategy robustness assessed through impacts on ten ecosystem services (ES) characterized across both space and time. Results revealed substantial variation in ES provision under alternative futures, with pronounced spatial shifts in service delivery. Critically, only limited spatial overlap existed between regions displaying the highest ES robustness and areas prioritized for protection based on current ecological value, demonstrating the inadequacy of planning approaches that ignore future uncertainties. The most consistently robust strategy for securing ES provision involved rapidly expanding conservation areas to 30% coverage (aligned with the Kunming-Montreal Global Biodiversity Framework target), prioritizing small patches in human-dominated landscapes, and employing mixed management combining both preservation and restoration. However, strategy effectiveness varied across different ES and scenarios, indicating that optimal approaches must account for societal preferences regarding trade-offs between services. This research addresses a recognized gap in conservation planning science and provides both methodological guidance for uncertainty-informed planning and specific recommendations for Switzerland's pursuit of the 30x30 target under accelerating environmental change. |
| publishDate |
2026 |
| dc.date.none.fl_str_mv |
2026 2026 2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/424782 https://api.elsevier.com/content/abstract/scopus_id/105027198805 |
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http://hdl.handle.net/10261/424782 https://api.elsevier.com/content/abstract/scopus_id/105027198805 |
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Inglés |
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Inglés |
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The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.jenvman.2025.128395 https://doi.org/10.1016/j.jenvman.2025.128395 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Elsevier |
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Elsevier |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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