Modelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK.
Philos Trans R Soc Lond B Biol Sci. 2023 Jan 2;378(1867):20210111. doi: 10.1098/rstb.2021.0111. Epub 2022 Nov 14.
The science guiding design and evaluation of restoration interventions in tropical landscapes is dominated by ecological processes and outcomes and lacks indicators and methods that integrate human wellbeing into the restoration process. We apply a new systems approach framework for tree restoration in forest-agricultural landscapes to show how this shortcoming can be addressed. Demonstrating 'proof of concept', we tested statistical models underlying the framework pathways with data collected from a case study in Tanzania. Local community perceptions of nature's values were not affected by levels of self-reported wildlife-induced crop damage. But mapped predictions from the systems approach under a tree restoration scenario suggested differential outcomes for biodiversity indicators and altered spatial patterns of crop damage risk, expected to jeopardize human wellbeing. The predictions map anticipated trade-offs in costs and benefits of restoration scenarios, which we have started to explore with stakeholders to identify restoration opportunities that consider local knowledge, value systems and human wellbeing. We suggest that the framework be applied to other landscapes to identify commonalities and differences in forest landscape restoration outcomes under varying governance and land use systems. This should form a foundation for evidence-based implementation of the global drive for forest landscape restoration, at local scales. This article is part of the theme issue 'Understanding forest landscape restoration: reinforcing scientific foundations for the UN Decade on Ecosystem Restoration'.
指导热带景观恢复干预设计和评估的科学主要受生态过程和结果的支配,缺乏将人类福祉纳入恢复过程的指标和方法。我们应用了一种新的森林-农业景观树木恢复系统方法框架,以展示如何解决这一不足。通过在坦桑尼亚的一个案例研究中收集的数据,我们测试了该框架途径的统计模型,证明了这一概念的可行性。社区对自然价值的看法不受自我报告的野生动物对作物损害程度的影响。但是,根据树木恢复情景下系统方法的映射预测表明,生物多样性指标的结果不同,作物损害风险的空间格局发生了变化,预计这将危及人类福祉。该预测图预计会权衡恢复情景的成本和收益,我们已开始与利益相关者一起探讨这些问题,以确定考虑当地知识、价值体系和人类福祉的恢复机会。我们建议将该框架应用于其他景观,以确定在不同治理和土地利用制度下森林景观恢复结果的异同。这应为在地方层面实施全球森林景观恢复倡议提供一个基于证据的基础。本文是“理解森林景观恢复:为生态系统恢复十年提供科学基础”主题特刊的一部分。