Moore Eleanor, Howson Pete, Grainger Matthew, Teh Yit Arn, Pfeifer Marion
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK.
Department of Social Sciences, Northumbria University, Newcastle upon Tyne, UK.
Environ Evid. 2022 Jun 22;11(1):23. doi: 10.1186/s13750-022-00276-w.
The scale of land degradation worldwide has led the UN to declare the Decade of Ecosystem Restoration and movements such as the Bonn Challenge ( https://www.bonnchallenge.org/ ), have placed ecological restoration on the global policy agenda. Achieving such ambitious policy targets and restoration goals will necessitate complex trade-offs against limited time, competing knowledge, costs, resources, and varying societal preferences among different stakeholders. Participatory scenarios are a tool to navigate uncertainties surrounding future trajectories and simultaneously incorporate different stakeholder perspectives. They can provide a path to identify collaborative solutions best suited for the local cultures and societies they are tied to. However, there is no systematic understanding of how participatory scenarios are being used in ecological restoration planning to navigate trade-offs in restoration outcomes. We will fill this research gap by mapping the existing evidence from participatory restoration scenarios to answer the primary research question 'How are outcomes explored in participatory ecological restoration scenarios?'. This will be done through five sub-questions focussing on characteristics of the evidence base, types of study design, how outcomes and trade-offs in those are explored, and an examination of the role of participants in the scenario process and outcome determination.
This protocol outlines the methods for a systematic map to identify studies that have used participatory scenarios in restoration planning. A comprehensive and reproducible search strategy will be undertaken across bibliographic databases, web-based engines, and targeted searches in organisational online libraries. Searches will be done online in English, but results in all languages will be screened. Search results will go through a two-step screening process of against pre-determined criteria of inclusion and exclusion, for title and abstract and then full-text. Data will be extracted from eligible studies using a standardised data extraction spreadsheet where details on study characteristics, design and outcomes will be recorded. A searchable database of studies and mapping outcomes will be available upon completion of the work. The aim is to inform how scenarios can be better used as a decision-making tool to increase stakeholder participation and account for trade-offs in restoration outcomes across social, ecological, and economic dimensions.
本方案概述了一项系统图谱研究的方法，以识别在恢复规划中使用参与式情景分析的研究。将在书目数据库、网络搜索引擎以及组织在线图书馆的定向搜索中开展全面且可重复的搜索策略。搜索将以英语在线进行，但所有语言的结果都将进行筛选。搜索结果将经过两步筛选过程，首先根据预先确定的纳入和排除标准对标题和摘要进行筛选，然后对全文进行筛选。将使用标准化的数据提取电子表格从符合条件的研究中提取数据，记录研究特征有关详细信息、设计和结果。工作完成后将建立一个可搜索的研究数据库和映射结果。目的是为如何更好地将情景分析用作决策工具提供信息，以增加利益相关者的参与，并在社会、生态和经济层面权衡恢复结果。
