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，以储存水和减缓水流。NBS的例子包括植树，漏水的水坝和河流恢复，沿着农业土地管理。这些系统与水文过程共同作用，减缓洪峰，并对生物多样性、水质和碳固存等其他生态系统服务产生多重效益。然而，尽管越来越受政策制定者和洪水行动小组的欢迎，缺乏证据表明其有效性和建议如何去实施这样一个创新的方法是限制其成功。有两个差距，在目前的知识有关的NBS的有效性。首先，在干预尺度上，我们没有充分了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提供。其次，在更大的子流域尺度，我们有有限的知识如何干预措施的效果联合收割机在一起，并通过河流系统传播。此外，不同生态系统服务之间可能存在协同增效和权衡，需要在景观尺度上加以考虑。该项目旨在就国家统计局的计划如何在流域范围内提供生态系统服务方面的最佳惠益制定指导。该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，结合实地监测、数字建模和利益攸关方参与。

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.