The complex, context-dependent, and dynamic nature of human behavior is increasingly recognized as both an important cause of sustainability problems and potential leverage for their solution. Human beings are diverse, as are the social, ecological, and institutional settings in which they are embedded. Despite this recognition and extensive knowledge about human decision-making in the behavioral sciences, empirical analysis, formal models, and decision support for sustainability policy in natural resource management often either neglect human behavior or are based on narrow and overly simplistic assumptions. Integrating insights from behavioral sciences into sustainability research and policy remains a challenge. This is in part due to the abundance and fragmentation of theories across the social sciences and in part the challenges of translating research across disciplines. We provide a set of tools to support the integration of knowledge about human behavior into empirical and model-based sustainability research. In particular, we (i) develop a process-oriented framework of embedded human cognition (Human Behavior-Cognition in Context or HuB-CC), (ii) select an initial set of 31 theories with the potential to illuminate behavior in natural resource contexts and map them onto the framework, and (iii) suggest pathways for using the framework and mapping to encourage trans-disciplinary investigations, identify and compare theories, and facilitate their integration into empirical research, formal models, and ultimately policy and governance for sustainability. Our theory selection, framework, and mapping offer a foundation—a “living” platform—upon which future collaborative efforts can build to create a resource for scholars and practitioners working at the intersection of social sciences and natural resource management.

人类行为的复杂性、环境相关性和动态性越来越被认为是可持续性问题的重要原因和解决方案的潜在影响力。人类是多种多样的，他们所处的社会、生态和制度环境也是如此。尽管在行为科学中对人类决策的认识和广泛知识，自然资源管理中的可持续发展政策的实证分析、正式模型和决策支持往往要么忽视人类行为，要么基于狭隘和过于简单化的假设。将行为科学的见解整合到可持续性研究和政策中仍然是一个挑战。这部分是由于社会科学中理论的丰富性和碎片化，部分是由于跨学科研究转化的挑战。我们提供了一套工具来支持将人类行为知识整合到实证和基于模型的可持续性研究中。特别是，我们 (i) 开发了一个面向过程的嵌入式人类认知框架（上下文中的人类行为认知或 HuB-CC），(ii) 选择初始的 31 种理论集，这些理论具有阐明自然资源环境中行为的潜力并将它们映射到框架上，以及 (iii) 建议使用框架和映射的途径来鼓励跨学科调查、识别和比较理论，并促进它们与实证研究、正式模型、并最终实现可持续发展的政策和治理。我们的理论选择、框架和制图提供了一个基础——一个“活的”平台——未来的合作努力可以建立在这个基础上，为在社会科学和自然资源管理交叉领域工作的学者和从业者创造资源。