The role of incentive mechanisms in promoting forest restoration: dataset

Dataset for a Review Paper on the role of incentive mechanisms in promoting forest restoration. Details of the study are included below via the abstract from the manuscript. The dataset includes data from 73 papers that evaluated the outcomes and/or factors affecting implementation success of incentives mechanisms for forest restoration. The data resulted from a thematic analysis conducted in NVivo. The data consists of descriptive data of incentives for forest restoration assessed by the reviewed studies, as well as their outcomes and factors affecting implementation success, considered as they were defined in the reviewed papers. For factors affecting implementation success the main categories were ‘Enablers’ and ‘Constraints’. Within these, we classified factors as ‘Biophysical’, ‘Social’ or ‘Economic’. Outcomes of incentive mechanisms were categorised as ‘Beneficial outcomes’, ‘Unmet objectives’ and ‘Perverse outcomes’. A copy of NVivo is needed to open the .nvp file. Manuscript abstract: Forest restoration has been proposed as a scalable nature-based solution to achieve global environmental and socio-economic outcomes and is central to many policy initiatives, such as the Bonn Challenge. Restored forests contain appreciable biodiversity, improve habitat connectivity, and sequester carbon. Incentive mechanisms (e.g., payments for ecosystem services and allocation of management rights) have been a focus of forest restoration efforts for decades. Yet, there is still little understanding of their role in promoting restoration success. We conducted a systematic literature review to investigate how incentive mechanisms are used to promote forest restoration, outcomes, and the biophysical and socio-economic factors that influence implementation and programme success. We found that socio-economic factors, such as governance, monitoring systems, and the experience and beliefs of participants, dominate whether or not an incentive mechanism is successful. We found that approximately half of the studies report both positive ecological and socio-economic outcomes. However, reported adverse outcomes were more commonly socio-economic than ecological. Our results reveal that achieving forest restoration at sufficient scale to meet international commitments will require stronger assessment and management of socio-economic factors that enable or constrain the success of incentive mechanisms.

本数据集为一篇探讨激励机制在促进森林修复中作用的综述论文配套数据集。下文将附手稿摘要以阐明本研究的具体细节。本数据集涵盖73篇已发表文献的数据，这些文献均对森林修复激励机制的实施成效及/或影响其实施成功的各类因素展开了评估。
该数据集的数据来源于NVivo软件开展的主题分析，包含综述文献所评估的森林修复激励机制的描述性数据，以及综述文献中所定义的、影响激励机制实施成功的各类因素与该机制的实施成效。其中，影响实施成功的因素主要分为“促进因素”与“制约因素”两大类别，在此框架下，我们将相关因素进一步划分为“生物物理类”“社会类”与“经济类”。激励机制的实施成效则被划分为“有益成效”“未达成目标”与“反常成效”三类。
需借助NVivo软件方可打开该数据集的.nvp格式文件。
手稿摘要：森林修复已被提出作为一种可规模化推广的基于自然的解决方案，用以实现全球环境与社会经济目标，也是包括波恩挑战（Bonn Challenge）在内的诸多政策倡议的核心内容。修复后的森林可承载可观的生物多样性，提升栖息地连通性，并实现碳固存。激励机制（如生态系统服务付费、管理权分配等）数十年来一直是森林修复工作的重点关注方向，但目前学界对其在促进修复成效中所发挥的作用仍知之甚少。
本研究开展了一项系统文献综述，旨在探究激励机制在促进森林修复中的应用方式、实施成效，以及影响实施与项目成功的生物物理和社会经济因素。研究发现，治理体系、监测机制、参与者的经验与观念等社会经济因素，是决定激励机制能否成功的主导因素。研究结果显示，约有半数研究报告了积极的生态与社会经济双重成效，但报告的负面成效中，社会经济类负面结果较生态类更为常见。本研究结果表明，若要实现足以满足国际承诺规模的森林修复，就需要对影响激励机制成功与否的社会经济促进与制约因素开展更完善的评估与管理。