Institutional Design of Forest Landscape Restoration in Central Togo: Informing Policy-making through Q Methodology Analysis

Forest landscape restoration (FLR) is a promising tool for restoring ecological functionality and improving human well-being in degraded landscapes. The success of FLR efforts depends on the interests, perceptions, and actions of local communities, extension services, Non-Governmental Organizations, and policymakers. While much research focuses on the direct ecological and economic impacts of FLR, limited attention has been given to how stakeholder perceptions influence the design and implementation of restoration efforts. Understanding these perspectives is crucial for shaping effective policy interventions and ensuring long-term FLR success. This study uses Q methodology to examine stakeholder viewpoints on key considerations and priorities for designing and implementing FLR in Tchamba Prefecture, Togo. The analysis reveals three distinct perspectives: (1) Incentive-Driven Restoration, emphasizing financial incentives and private-sector partnerships as essential for FLR success; (2) Comprehensive and Collaborative Restoration, advocating for an inclusive, multidisciplinary approach that integrates community participation and long-term monitoring; and (3) Incentive-Driven Community Restoration, highlighting the importance of economic incentives in fostering local engagement. Across all perspectives, stakeholders strongly agreed on the importance of biodiversity conservation, stakeholder involvement, and conflict resolution in land use. The findings underscore the need to tailor FLR policies to local contexts and stakeholder preferences, suggesting that flexible, participatory approaches can enhance sustainability and effectiveness. This study contributes to developing inclusive, adaptive restoration policies and highlights the need to integrate behavioural insights into policy-making to foster long-term stakeholder engagement.

Publication Details

Journal
edoc Publication server (Humboldt University of Berlin)
Published
2025-03-03
DOI
https://doi.org/10.18452/33874
Primary Topic
Q Methodology Applications
Type
article
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article

Institutional Design of Forest Landscape Restoration in Central Togo: Informing Policy-making through Q Methodology Analysis

edoc Publication server (Humboldt University of Berlin)
Q Methodology Applications
article

Institutional Design of Forest Landscape Restoration in Central Togo: Informing Policy-making through Q Methodology Analysis

article en

Abstract

Forest landscape restoration (FLR) is a promising tool for restoring ecological functionality and improving human well-being in degraded landscapes. The success of FLR efforts depends on the interests, perceptions, and actions of local communities, extension services, Non-Governmental Organizations, and policymakers. While much research focuses on the direct ecological and economic impacts of FLR, limited attention has been given to how stakeholder perceptions influence the design and implementation of restoration efforts. Understanding these perspectives is crucial for shaping effective policy interventions and ensuring long-term FLR success. This study uses Q methodology to examine stakeholder viewpoints on key considerations and priorities for designing and implementing FLR in Tchamba Prefecture, Togo. The analysis reveals three distinct perspectives: (1) Incentive-Driven Restoration, emphasizing financial incentives and private-sector partnerships as essential for FLR success; (2) Comprehensive and Collaborative Restoration, advocating for an inclusive, multidisciplinary approach that integrates community participation and long-term monitoring; and (3) Incentive-Driven Community Restoration, highlighting the importance of economic incentives in fostering local engagement. Across all perspectives, stakeholders strongly agreed on the importance of biodiversity conservation, stakeholder involvement, and conflict resolution in land use. The findings underscore the need to tailor FLR policies to local contexts and stakeholder preferences, suggesting that flexible, participatory approaches can enhance sustainability and effectiveness. This study contributes to developing inclusive, adaptive restoration policies and highlights the need to integrate behavioural insights into policy-making to foster long-term stakeholder engagement.

edoc Publication server (Humboldt University of Berlin)
Openalex Percentile: Top 46%
Q Methodology Applications
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Institutional Design of Forest Landscape Restoration in Central Togo: Informing Policy-making through Q Methodology Analysis · edoc Publication server (Humboldt University of Berlin) (2025) | TGRS Research Map | TGRS