Urban green infrastructure (UGI) and nature-based solutions are increasingly recognized as instruments to address urban sustainability challenges, yet rely on a good understanding of complex social-ecological system (SES) to function adequately. Adaptive co-management (ACM), engaging a broad variety of stakeholders in collaborative learning, is an effective strategy to improve the resilience of a SES. However, ACM studies have been criticized for neglecting the urban context, while also offering little clarity on process objectives and outcomes. To address these knowledge gaps, while also drawing attention to the important issue of socially inclusive UGI development, we present a guiding framework and approach to encourage the ACM of UGI featuring two main components. Firstly, a Learning Alliance (LA) serves as an instrument for collaborative learning and experimentation across different scales. To facilitate upscaling, we propose to establish a complementary Urban Learning Lab (ULL) to facilitate a regular exchange between the LA and legitimate peripheral networks and stakeholders in the city region. Secondly, a stepwise approach to SES analysis serves to engage a representative group of stakeholders in the LAs and ULLs, and support the processes of setting LA objectives and monitoring of adaptive capacity. We illustrate our approach to the ACM of UGI with a case study of LivadaLAB in Ljubljana, Slovenia. Applying the framework and approach, we demonstrate increased adaptive capacity of the SES around UGI as indicated by: 1) improved overall stakeholder salience, in particular for previously disempowered actor groups, 2) increased number and strength of connections between stakeholders, and 3) the consideration of a broader range of sustainable development objectives by stakeholders in their daily practice.

城市绿色基础设施（UGI）和基于自然的解决方案越来越被认为是解决城市可持续性挑战的工具，但仍需要对复杂的社会生态系统（SES）有良好的理解才能充分发挥作用。适应性共同管理（ACM）使各种各样的利益相关者参与协作学习，是提高SES弹性的有效策略。但是，ACM研究由于忽视了城市环境而受到批评，同时也没有提供有关过程目标和结果的明确说明。为了解决这些知识差距，同时也提请注意社会包容性UGI开发的重要问题，我们提出了一个指导框架和方法来鼓励UGI的ACM具有两个主要组成部分。首先，学习联盟（LA）可以作为跨不同规模的协作学习和实验的工具。为了促进升级，我们建议建立一个补充性的城市学习实验室（ULL），以促进洛杉矶与城市区域内合法外围网络和利益相关者之间的定期交流。其次，逐步进行SES分析的方法是使LA和ULL中的利益相关者代表小组参与进来，并支持制定LA目标和监测适应能力的过程。我们以斯洛文尼亚卢布尔雅那的LivadaLAB案例研究为例，说明了我们对UGI ACM的处理方法。应用该框架和方法，我们证明了围绕UGI的SES的适应能力得到了增强，具体表现为：1）利益相关者的整体显着提高，尤其是对于先前已无权的演员团体而言，