Despite improved knowledge and stricter regulations, numerous fish stocks remain overharvested. Previous research has shown that fisheries management may fail when the models and assessments used to inform management are based on unrealistic assumptions regarding fishers' decision-making and responses to policies. Improving the understanding of fisher behaviour requires addressing its diversity and complexity through the integration of social science knowledge into modelling. In our paper, we review and synthesize state-of-the-art research on both social science's understanding of fisher behaviour and the representation of fisher decision-making in scientific models. We then develop and experiment with an agent-based social-ecological fisheries model that formalizes three different fishing styles. Thereby we reflect on the implications of our incorporation of behavioural diversity and contrast it with the predominant assumption in fishery models: fishing practices being driven by rational profit maximizing. We envision a next generation of fisheries models and management that account for social scientific knowledge on individual and collective human behaviours. Through our agent-based model, we demonstrate how such an integration is possible and propose a scientific approach for reducing uncertainty based on human behavioural diversity in fisheries. This study serves to lay the foundations for a next generation of social-ecological fishery models that account for human behavioural diversity and social and ecological complexity that are relevant for a realistic assessment and management of fishery sustainability problems.

中文翻译：

---

捕鱼的行为多样性——迈向下一代渔业模型

尽管知识有所改进，法规也更加严格，但许多鱼类种群仍然被过度捕捞。先前的研究表明，当用于通知管理的模型和评估基于关于渔民决策和政策反应的不切实际的假设时，渔业管理可能会失败。提高对渔民行为的理解需要通过将社会科学知识整合到建模中来解决其多样性和复杂性。在我们的论文中，我们回顾并综合了关于社会科学对渔民行为的理解和渔民决策在科学模型中的表示的最新研究。然后，我们开发并试验了一种基于代理的社会生态渔业模型，该模型将三种不同的捕鱼方式正式化。因此，我们反思我们纳入行为多样性的影响，并将其与渔业模型中的主要假设进行对比：捕捞实践受理性利润最大化驱动。我们设想了下一代渔业模型和管理，以解释关于个人和集体人类行为的社会科学知识。通过我们基于代理的模型，我们展示了这种整合如何成为可能，并提出了一种基于渔业中人类行为多样性减少不确定性的科学方法。这项研究为下一代社会生态渔业模型奠定了基础，这些模型考虑了人类行为多样性以及社会和生态复杂性，这些模型与渔业可持续性问题的现实评估和管理相关。