The river basin organisation (RBO) model has been advocated as organisational best practice for sustainable river basin management, despite scant evidence of its effectiveness to manage complex river systems. This review provides a framework which combines functional social-institutional capacities with basin biophysical indicators in a diagnostic tool to determine RBO governance performance. Each of these two capacities are represented by four groups of indicators respectively covering social learning capacity and biophysical capacity. The distance and alignment between capacity and measure of performance scores can be used to prioritise program planning and resource allocation for improving river basin governance, and to undertake periodic evaluations as part of a trajectory analysis. The diagnostic functional framework provides tangible indicators of performance around key concepts in river basin governance. It offers a first attempt to strengthen the position and effectiveness of an RBO in dealing with complex adaptive systems.

尽管鲜有证据表明流域组织（RBO）模型可以有效地管理复杂的河流系统，但该模型仍被认为是流域可持续管理的组织最佳实践。这项审查提供了一个框架，该框架将功能性社会制度能力与盆地生物物理指标结合在诊断工具中，以确定RBO治理绩效。这两种能力中的每一种都由四组指标代表，分别涵盖社会学习能力和生物物理能力。能力和绩效得分的度量之间的距离和一致性可用于确定计划规划和资源分配的优先级，以改善流域治理，并作为轨迹分析的一部分进行定期评估。诊断功能框架围绕流域治理中的关键概念提供了切实的绩效指标。它为增强RBO在处理复杂的自适应系统中的地位和有效性提供了首次尝试。