The majority of the southern Baltic Sea seabed encompasses homogenous soft-bottom sediments of limited productivity and low biological diversity, but shallow productive areas in the coastal zone such as wetlands, vegetated lagoons and sheltered bays show a high variety of benthic habitat types offering favourable biotopic conditions for benthic fauna. Within Polish marine areas, semi-enclosed Puck Bay (the western part of the Gulf of Gdańsk) features an exceptionally diverse environment covering a range of benthic habitats which underscores its unique biological value and aesthetic quality and providing an impetus for conservation and ecosystem-based development. Full-coverages maps on benthic habitats in this area are therefore a necessary foundation for maritime spatial planning and implementation of strategies for sustainable management and protection of the coastal environment. This study presents the first comprehensive description and distribution of benthic habitats in Puck Bay which were categorised using the revised EUNIS 2019 classification system. Typological analyses were carried out based on inventory datasets from 1995 to 2019 including scientific publications, satellite images, open databases, topographic and geological maps, reports, theses, information available on websites and unpublished data shared willingly by individual researchers and administrative institutions. Collating various spatial data sources, that were first georeferenced and then visualized using techniques available in ArcMap 10.4.1 software (Esri), resulted in the mapping of benthic habitats and sites of important and protected plant species, which can contribute to the high confidence in environmental assessments and monitoring activities.

波罗的海南部海床的大部分包含生产力有限且生物多样性低的同质软底沉积物，但沿海地区的浅层生产区，如湿地、植被泻湖和避风湾，显示出多种底栖栖息地类型，提供有利的生物栖息地。底栖动物的条件。在波兰海域内，半封闭的帕克湾（格但斯克湾西部）拥有极其多样化的环境，涵盖了一系列底栖栖息地，突出了其独特的生物价值和美学品质，并为保护和生态系统提供了动力发展。因此，该地区底栖栖息地的全覆盖地图是海洋空间规划和实施可持续管理和保护沿海环境战略的必要基础。本研究首次对帕克湾底栖栖息地进行了全面描述和分布，这些栖息地使用修订后的 EUNIS 2019 分类系统进行了分类。类型学分析是基于 1995 年至 2019 年的清单数据集进行的，包括科学出版物、卫星图像、开放数据库、地形和地质图、报告、论文、网站上可用的信息以及个人研究人员和行政机构自愿共享的未发表数据。整理各种空间数据源，