Quantifying the synergies and tradeoffs of nature based solutions between flood management and biodiversity restoration

基于自然的解决方案（NBS）旨在恢复集水区的自然功能，以储存水并减缓水流。国家统计局的例子包括植树、漏坝和河流修复，以及农业用地管理。这些与水文过程共同作用，以减弱洪峰，并对生物多样性、水质和碳封存等其他生态系统服务具有多重益处。然而，尽管在政策制定者和洪水行动组织中越来越受欢迎，但缺乏关于其有效性的证据和关于如何实施这种创新方法的建议，限制了它的成功。目前有关国家统计局有效性的知识有两个空白。首先，在干预尺度上，我们不能完全理解被特征改变的自然过程在多大程度上改变了生态系统服务的提供。其次，在更大的子集水区尺度上，我们对干预措施的影响如何结合在一起并通过河流系统传播的了解有限。此外，不同的生态系统服务之间可能存在协同作用和权衡，需要在景观尺度上加以考虑。该项目旨在就国家统计局计划如何在流域规模上提供生态系统服务方面的最佳效益制定指导意见。研究将集中在艾伦水恢复项目与广泛的利益相关者合作。该项目将采用混合方法，结合现场监测、数值模拟和利益相关者参与。

Nature Based Solutions (NBS)) aim to restore the natural functioning of catchments to store water and slow the flow. Examples of NBS include tree planting, leaky dams and river restoration, along with agricultural land management. These work with hydrological processes to attenuate the flood peak and have multiple benefits for other ecosystem services such as biodiversity, water quality and carbon sequestration. However, despite gaining popularity with policy makers and flood action groups, a lack of evidence on its effectiveness and advice about how to go about implementing such an innovative approach are limiting its success.There are two gaps in current knowledge relating to the effectiveness of NBS. First, at the intervention scale, we do not have a full understanding of how much the natural processes which are modified by the features do alter ecosystem service provision. Second, at the larger sub-catchment scale, we have limited knowledge of how the effect of the interventions combine together and propagate through the river system. Furthermore, there may be synergies and trade-offs between the different ecosystem services which need to be considered at the landscape scale. This project aims to develop guidance on how NBS schemes can provide the optimum benefits in terms of ecosystem services at the catchment scale. The research will be focussed on the Allan Water Restoration project working with a wide range of stakeholders. This project will utilise a mixed methods approach, combining field monitoring, numerical modelling and stakeholder engagement.