This study investigates the variability of phytoplankton characteristics—namely species richness, and Shannon diversity index—as well as Reynolds functional group (RFG) attributes, including composition, total biovolume of the species classified within those groups, and RFG richness, across 16 predefined lake types. The analysis is based on data collected from 70 lentic systems in Türkey during the spring, summer, and autumn seasons between 2017 and 2019. Patterns of variation and similarity in both lake types and individual lentic systems were evaluated in relation to type descriptors (altitude, latitude, longitude, lake depth, surface area, and geological features-alkalinity) and additional environmental parameters. The results of the multivariate analyses revealed that the 16 lake types differed from one another in terms of RFG composition, phytoplankton biovolume, dominant RFGs, species richness, the Shannon index, and RFG richness. In addition, while typological descriptors such as surface area, lake depth, alkalinity, and spatial factors played a key role in distinguishing typologies based on their composition of RFGs and dominant RFGs, the environmental parameters, such as electrical conductivity, also had an impact. Despite similarities in RFGs composition and the distribution of dominant RFGs among systems within the same lake type, the presence of significant differences underscores the importance of local environmental conditions. These findings suggest that incorporating supplementary descriptors—especially electrical conductivity—may enhance the accuracy of phytoplankton-based classification of lentic ecosystems in Türkiye.
