How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level

A key factor in the resilience of water and forest ecosystems in the face of climate variability is the management decisions taken by the individuals responsible for them, from public officials to private owners. The presence of economic and other non-material incentives can modify the decision-maki...

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Autores principales:	Eulàlia Baulenas, Teresa Baiges, Teresa Cervera, Claudia Pahl-Wostl
Formato:	article
Lenguaje:	EN
Publicado:	Resilience Alliance 2021
Materias:	agent-based model simulation forest payment for ecosystem services policy integration water Biology (General) QH301-705.5 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/6e531d6ebe1c43fbb82c6728899c7d05
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spelling	oai:doaj.org-article:6e531d6ebe1c43fbb82c6728899c7d052021-11-15T16:40:18ZHow do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level1708-308710.5751/ES-12325-260210https://doaj.org/article/6e531d6ebe1c43fbb82c6728899c7d052021-06-01T00:00:00Zhttps://www.ecologyandsociety.org/vol26/iss2/art10/https://doaj.org/toc/1708-3087A key factor in the resilience of water and forest ecosystems in the face of climate variability is the management decisions taken by the individuals responsible for them, from public officials to private owners. The presence of economic and other non-material incentives can modify the decision-making processes of these individuals and thereby avoid current socioeconomic trends in Mediterranean forested areas such as land abandonment and its detrimental consequences for both social and ecological systems. In this article, we created a spatially explicit agent-based model to observe the effects of the implementation of a woodland-for-water payment for ecosystem services scheme in a local area in Catalonia (NE Spain). The results of the model show that the policy design that supports recurrent management practices obtains the same results at the 25-year mark that other policy designs at the end of the modeled period in number of managed hectares. This design entails the presence of a local intermediary, financial coverage of the management changes to improve water conditions, and the targeting of only one environmental goal, thereby avoiding the ecosystem trade-offs that can arise when two or more goals are targeted. In this design, the first generation of forest owners engaging in behavior change would benefit from their actions, which is also key for maintaining their engagement with the payments for ecosystem services scheme.Eulàlia BaulenasTeresa BaigesTeresa CerveraClaudia Pahl-WostlResilience Alliancearticleagent-based model simulationforestpayment for ecosystem servicespolicy integrationwaterBiology (General)QH301-705.5EcologyQH540-549.5ENEcology and Society, Vol 26, Iss 2, p 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	agent-based model simulation forest payment for ecosystem services policy integration water Biology (General) QH301-705.5 Ecology QH540-549.5
spellingShingle	agent-based model simulation forest payment for ecosystem services policy integration water Biology (General) QH301-705.5 Ecology QH540-549.5 Eulàlia Baulenas Teresa Baiges Teresa Cervera Claudia Pahl-Wostl How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
description	A key factor in the resilience of water and forest ecosystems in the face of climate variability is the management decisions taken by the individuals responsible for them, from public officials to private owners. The presence of economic and other non-material incentives can modify the decision-making processes of these individuals and thereby avoid current socioeconomic trends in Mediterranean forested areas such as land abandonment and its detrimental consequences for both social and ecological systems. In this article, we created a spatially explicit agent-based model to observe the effects of the implementation of a woodland-for-water payment for ecosystem services scheme in a local area in Catalonia (NE Spain). The results of the model show that the policy design that supports recurrent management practices obtains the same results at the 25-year mark that other policy designs at the end of the modeled period in number of managed hectares. This design entails the presence of a local intermediary, financial coverage of the management changes to improve water conditions, and the targeting of only one environmental goal, thereby avoiding the ecosystem trade-offs that can arise when two or more goals are targeted. In this design, the first generation of forest owners engaging in behavior change would benefit from their actions, which is also key for maintaining their engagement with the payments for ecosystem services scheme.
format	article
author	Eulàlia Baulenas Teresa Baiges Teresa Cervera Claudia Pahl-Wostl
author_facet	Eulàlia Baulenas Teresa Baiges Teresa Cervera Claudia Pahl-Wostl
author_sort	Eulàlia Baulenas
title	How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
title_short	How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
title_full	How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
title_fullStr	How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
title_full_unstemmed	How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level
title_sort	how do structural and agent-based factors influence the effectiveness of incentive policies? a spatially explicit agent-based model to optimize woodland-for-water pes policy design at the local level
publisher	Resilience Alliance
publishDate	2021
url	https://doaj.org/article/6e531d6ebe1c43fbb82c6728899c7d05
work_keys_str_mv	AT eulaliabaulenas howdostructuralandagentbasedfactorsinfluencetheeffectivenessofincentivepoliciesaspatiallyexplicitagentbasedmodeltooptimizewoodlandforwaterpespolicydesignatthelocallevel AT teresabaiges howdostructuralandagentbasedfactorsinfluencetheeffectivenessofincentivepoliciesaspatiallyexplicitagentbasedmodeltooptimizewoodlandforwaterpespolicydesignatthelocallevel AT teresacervera howdostructuralandagentbasedfactorsinfluencetheeffectivenessofincentivepoliciesaspatiallyexplicitagentbasedmodeltooptimizewoodlandforwaterpespolicydesignatthelocallevel AT claudiapahlwostl howdostructuralandagentbasedfactorsinfluencetheeffectivenessofincentivepoliciesaspatiallyexplicitagentbasedmodeltooptimizewoodlandforwaterpespolicydesignatthelocallevel
_version_	1718426906690322432

How do structural and agent-based factors influence the effectiveness of incentive policies? A spatially explicit agent-based model to optimize woodland-for-water PES policy design at the local level

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