Trait-based diatom functional diversity as an appropriate tool for understanding the effects of environmental changes in soda pans

Abstract

Saline lakes, among the most seriously endangered ecosystems, are threatened due to climate change and human activities. One valuable feature of these environments is that they constitute areas of high biodiversity. Ecologists are, therefore, under great pressure to improve their understanding of the effects of natural and anthro - pogenic disturbances on the biodiversity of saline lakes. In this study, a total of 257 samples from 32 soda pans in Central Europe between 2006 and 2015 were exam - ined. The effects of environmental variables and of geographical and limnoecological factors on functional diversity were analyzed. Furthermore, the explanatory power of the trait-based approach was assessed, and the applicability of the indices for bio - monitoring purposes was determined. It was found that low habitat heterogeneity and harsh environments lead to the selection of a small number of suitable traits, and consequently, to a naturally low level of functional diversity. Anthropogenic activities enhance diversity at functional level due to the shift toward freshwater character - istics. On the regional scale, the effects of the region and status (natural, degraded, reconstructed) on diatom functional diversity were significant and more pronounced than that of the environmental and other limnoecological factors. The degree of vari - ance found in functional diversity ascribed to environmental variables is five times greater in the case of the application of a trait-based approach, than when a taxo - nomic one is employed in the literature. Each of the tested functional diversity indi - ces was sensitive to the most important environmental variables. Furthermore, these were type-specific and proved to be more complex indicators than taxonomic met - rics. It is possible to suggest four functional diversity indices (FGR, FRic, FDis, and FDiv) which emphasize their independence from substrate and seasonal variations for ecological status assessment and conservation planning.