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• W4288077881 abstract "This study is based on biological trait analysis (BTA), which provides a link between the distribution and biological characteristics of species. The paper investigates differences in the structure and functional diversity of benthic fauna in terms of seven biological traits (mobility, habitat, feeding type, habitat modification, body form, body size and feeding apparatus) in nine Baltic coastal lakes whose salinity ranged from 0.1 to 7.3 PSU. Mobile organisms were more common in lakes with higher salinity, while sessile and semi-mobile species preferred low-salinity or freshwater environments. There were also noticeable differences connected with feeding type: collectors and scrapers were more common in brackish lakes, and collectors were significantly dominant in freshwater and transitional ones. This indicates that Baltic coastal lakes are inhabited by similar species of benthic fauna, but that certain biological traits occur with different frequencies. We therefore identified features that may affect the functioning of coastal lakes with a relatively narrow salinity gradient (0.1-7.3 PSU). It seems to confirm the possibility of using BTA methods to determine key characteristics that are helpful for understanding the differences between aquatic ecosystems. The results may provide a basis for further research on changes in the functional diversity of lakes along the southern coast of the Baltic Sea, particularly in view of climate change, given their being small, shallow and less resilient lakes." @default.
• W4288077881 created "2022-07-28" @default.
• W4288077881 creator A5005306148 @default.
• W4288077881 creator A5063008250 @default.
• W4288077881 date "2022-07-26" @default.
• W4288077881 modified "2023-10-14" @default.
• W4288077881 title "Structural diagnosis of benthic invertebrate communities in relation to salinity gradient in Baltic coastal lake ecosystems using biological trait analysis" @default.
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• W4288077881 doi "https://doi.org/10.1038/s41598-022-17002-8" @default.
• W4288077881 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35882939" @default.
• W4288077881 hasPublicationYear "2022" @default.
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