Fisheries management is usually supported by technical and financial measurements (i.e. logbooks and market data), which are helpful for ecological or economic assessments. Yet this information is not able to address social heterogeneity and fisher motivations, which are key to understanding fisher behaviour. This case study of the demersal segment in the Netherlands shows that combining quantitative analysis of logbooks with qualitative data collected by engaging with fishers can capture both fishing activity and its motivations, generating a more social understanding of fisher behaviour. A métier analysis of logbook data describes five dominant fishing practices among the selected segment. Twenty-five in-depth interviews with fishers along with focus groups including other experts identify three social factors that influence fisher behaviour in the Dutch demersal fleet: business structure, working rhythm, and polyvalence. The results show that motivations for fisher behaviour are more complex than complying with regulations or seeking profit: social factors also influence fishing activity. Furthermore, these social factors have real implications for the impacts of management measures on both the fishing communities and the environment, especially in times of change. These results are useful for management strategy development or evaluation because they are feasibly observable through existing data collection protocols.

中文翻译：

---

超越行业：社会因素影响渔民行为

渔业管理通常得到技术和财务测量（即日志和市场数据）的支持，这有助于生态或经济评估。然而，这些信息无法解决社会异质性和渔民动机，这是了解渔民行为的关键。荷兰底层部分的案例研究表明，将航海日志的定量分析与通过与渔民接触收集的定性数据相结合，可以捕捉捕鱼活动及其动机，从而对渔民行为产生更多的社会理解。航海日志数据的专业分析描述了选定部分中的五种主要捕鱼做法。对渔民以及包括其他专家在内的焦点小组进行了 25 次深入访谈，确定了影响荷兰底层船队渔民行为的三个社会因素：业务结构、工作节奏和多价性。结果表明，渔民行为的动机比遵守法规或寻求利润更复杂：社会因素也会影响捕鱼活动。此外，这些社会因素对管理措施对渔业社区和环境的影响具有实际影响，尤其是在变化时期。这些结果对于管理策略的制定或评估很有用，因为它们可以通过现有的数据收集协议进行观察。结果表明，渔民行为的动机比遵守法规或寻求利润更复杂：社会因素也会影响捕鱼活动。此外，这些社会因素对管理措施对渔业社区和环境的影响具有实际影响，尤其是在变化时期。这些结果对于管理策略的制定或评估很有用，因为它们可以通过现有的数据收集协议进行观察。结果表明，渔民行为的动机比遵守法规或寻求利润更复杂：社会因素也会影响捕鱼活动。此外，这些社会因素对管理措施对渔业社区和环境的影响具有实际影响，尤其是在变化时期。这些结果对于管理策略的制定或评估很有用，因为它们可以通过现有的数据收集协议进行观察。