Despite the rich dialectal lexicography, Croatian dialectology lacks systematic lexicological studies, particularly regarding the cultural lexicon. An exception is the lexicon of marine fauna, which is envialby well-documented, both semantically and etymologically. However, this part of the lexicon has so far not been properly valued within Croatian dialectology, perhaps because it does not facilitate direct comparisons between Croatian Adriatic dialects and those of the interior. Lexicon of marine fauna, as a specific cultural lexicon, reflects the life of coastal communities (cf. Vuletić/Skračić 2020: 800), so we can say that it represents one of the most relevant semantic fields for examining relationships among Adriatic dialects. A recent geolinguistic study in the Northern Dalmatia reveals two key insights: (1) areal distribution of some lexotypes isspecific to certain lexical zones; (2) some lexotypes align with the distribution of dialect groups (Vuletić/Skračić 2020). In this dissertation, we analyze the areal distribution of the lexicon of marine fauna in Central Dalmatia using geolinguistic methods. For this purpose, the data was collected through fieldwork, then typized and mapped. These maps are accompanied by geolinguistic interpretations. The analysis yielded several findings: (1) certain lexotypes originate from prominent fishing and urban centers; (2) there are notable isoglosses between island dialects and sub-Biokovo dialects (3) there are several dominantly island isoglosses; (4) the distribution of specific lexical zones aligns with historical entities (old Hvar commune, Trogir municipality, Split municipality, Republic of Poljica, Republic of Dubrovnik etc.). The qualitative findings are further supported by quantitative dialectometric analysis. While dialectometric methods have been part of Croatian dialectology since the 1980s (cf. Sujoldžić et. al. 1983, 1984), they have not yet been applied to the cultural lexicon. Furthermore, their interpretative potential has been somewhat overlooked. In this dissertation we apply methods of the Salzburg school of dialectometry (Goebl 2010) on a comparable set of lexical data from one semantic field. These methods include similarity maps, parameter maps and hierarchical clustering.