Eliciting stakeholders' mental models is an important participatory modelling (PM) tool for building systems knowledge, a frequent challenge in natural resource management. Therefore, mental models constitute a valuable source of information, making it imperative to document them in detail, while preserving the integrity of stakeholders’ beliefs. We propose a methodology, the Rich Elicitation Approach (REA), which combines direct and indirect elicitation techniques to meet these goals. We describe the approach in the context of the effects of climate change on Baltic salmon. The REA produced holistic depictions of mental models, with more variables and causal relationships per diagram than direct elicitation alone, thus providing a solid knowledgebase on which to begin PM studies. The REA was well received by stakeholders, and fulfilled the substantive, normative, instrumental, and educational functions of PM. However, motivating stakeholders to confirm the accuracy of their models during the verification stage of the REA was challenging.

激发利益相关者的心理模型是用于建立系统知识的重要参与模型（PM）工具，这是自然资源管理中经常遇到的挑战。因此，心理模型构成了宝贵的信息来源，因此有必要对其进行详细记录，同时又要保持利益相关者的信念的完整性。我们提出了一种方法，即丰富启发方法（REA），该方法结合了直接和间接启发技术来实现这些目标。我们在气候变化对波罗的海鲑鱼的影响的背景下描述了这种方法。REA产生了心理模型的整体描述，每个图比单独的直接启发具有更多的变量和因果关系，从而为开始PM研究提供了坚实的知识基础。REA获得了利益相关者的好评，并履行了PM的实质性，规范性，工具性和教育性功能。但是，在REA的验证阶段，激励利益相关者确认其模型的准确性具有挑战性。