Small-scale fisheries (SSF) are highly heterogeneous, complex, and dynamic. The natural and socio-economic components associated with these fishery systems are subject to different drivers, issues, and challenges. Understanding SSF complexity requires an exercise to unpack the systems into manageable clusters that are easier to analyze and understand, and that can generate sound information to support management decision-making. Under this premise, we propose the use of fisheries typology to classify SSF, using 22 coastal communities in the Yucatan Peninsula, Mexico, as illustrations. Although operating under the same official regulations, the SSF in these communities are different in contexts and face different challenges. The study uses multivariate analysis to identify and classify SSF into types, and afterward analyzes differences and commonalities in their features. The analysis shows three types of SSF, differentiated by fishing production, landing composition, fishing effort, and economic characteristics, suggesting different levels of sustainability of the resources targeted. The typology approach enables an organization and integration of numerous fisheries attributes, helps identify gaps in information and knowledge, as well as enhances overall understanding of SSF complexity. It also offers an opportunity to set new research questions regarding monitoring systems and management interventions, taking into consideration the differences and similarities in the identified SSF types.

小型渔业（SSF）是高度异构，复杂和动态的。与这些渔业系统有关的自然和社会经济组成部分受到不同的驱动因素，问题和挑战。要了解SSF的复杂性，需要进行一次练习，以将系统分解为易于分析和理解的可管理集群，并且可以生成可靠的信息来支持管理决策。在此前提下，我们建议使用渔业类型学对SSF进行分类，以墨西哥尤卡坦半岛的22个沿海社区为例。尽管在相同的官方法规下运行，但这些社区中的SSF的背景不同，面临着不同的挑战。该研究使用多元分析来识别SSF并将其分类，然后分析它们在功能上的差异和共性。分析显示了SSF的三种类型，通过捕捞产量，着陆构成，捕捞努力和经济特征加以区分，表明目标资源的可持续性水平不同。类型学方法可以组织和整合众多渔业属性，帮助识别信息和知识方面的差距，并增强对SSF复杂性的整体理解。它还提供了一个机会，可以在考虑到已确定的SSF类型之间的差异和相似性的基础上，提出有关监控系统和管理干预措施的新研究问题。和经济特征，表明目标资源具有不同程度的可持续性。类型学方法可以组织和整合众多渔业属性，帮助识别信息和知识方面的差距，并增强对SSF复杂性的整体理解。它还提供了一个机会，可以在考虑到已确定的SSF类型之间的差异和相似性的基础上，提出有关监控系统和管理干预措施的新研究问题。和经济特征，表明目标资源具有不同程度的可持续性。类型学方法可以组织和整合众多渔业属性，帮助识别信息和知识方面的差距，并增强对SSF复杂性的整体理解。它还提供了一个机会，可以在考虑到已确定的SSF类型之间的差异和相似性的基础上，提出有关监控系统和管理干预措施的新研究问题。