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恢复中作用的综述论文配套数据集。以下通过该研究手稿的摘要展示该项研究的详细信息。本数据集涵盖73篇已发表文献的数据，这些文献针对森林恢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评估。该数据通过NVivo软件开展主题分析所得，包含综述文献中评估的森林恢复激励机制的描述性数据，以及综述文献中所定义的激励机制实施成效与影响实施成功的各类因素。针对影响实施成功的因素，主要划分为“促进因素（Enablers）”与“制约因素（Constraints）”两大类别，并在此基础上将各类因素进一步归类为“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”“未达目标”与“反常成效”三类。需借助NVivo软件方可打开本数据集的.nvp格式文件。手稿摘要：森林恢复被视为可规模化落地的基于自然的解决方案（nature-based solution），用以实现全球环境与社会经济目标，亦是诸多政策倡议（如《波恩挑战（Bonn Challenge）》）的核心内容。恢复后的森林可显著提升生物多样性、优化栖息地连通性并固存碳。激励机制（例如生态系统服务付费、管理权分配等）数十年来一直是森林恢复工作的关注重点，但目前学界对其在提升森林恢复成效中的作用仍缺乏充分认知。本研究开展了系统文献综述，旨在探究激励机制在促进森林恢复中的应用方式、实施成效，以及影响项目实施与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、参与者经验与信念等社会经济因素，是决定激励机制能否成功的主导因素。研究同时发现，约半数研究同时报告了积极的生态与社会经济成效，但报告的负面成效更多集中于社会经济维度，而非生态维度。本研究结果表明，若要实现足够规模的森林恢复以达成国际承诺，需针对影响激励机制成败的社会经济因素，强化评估与管理工作。