Coupled effects of land use pattern and hydrological regime on composition and diversity of riverine eukaryotic community in a coastal watershed of Southeast China

The coupled effects of land use pattern and hydrological regime on composition and diversity of riverine eukaryotic community are needed for understanding riverine ecosystem health and algal blooming mechanism. In-situ monitoring and 18S rRNA gene sequencing were used to investigate spatiotemporal variations of eukaryotic community in three types of watershed with different dominant land use type (i.e. urban, forest, and natural) during three seasons (i.e. dry, transition, and wet seasons) in a coastal watershed of Southeast China. Results showed that agricultural and urban watersheds had significantly higher diversity in dry and transition seasons, and higher richness in transition and wet seasons than those in forest watershed. The non-metric multidimensional scaling analysis further verified great spatiotemporal variations of eukaryotic community. Stramenopiles, Alveolata, Animalia, and Eukaryota, dominated the sequences reads for all sampling sites in three seasons. Agricultural watershed had the highest relative abundant of Animalia, whereas Eukaryota was the most abundant in urban watershed and forest watershed had the highest relative abundance of Stramenopiles and Alveolata. The RDA ordination showed that Builtup and streamflow were two most important factors for moderate taxa and abundant taxa, respectively. Variation partitioning revealed that land use pattern and hydrological regime together explained 54.4%, 61% and 67.2% variances of the composition of eukaryotic community. Among three sampling seasons, the relative contribution of land use pattern was higher than that of hydrological regime. The results of this investigation demonstrated how land use pattern and hydrological regime affected the composition and diversity of riverine eukaryotic community. The findings can provide a useful insight into the riverine eukaryotic communities and their underlying ecological mechanisms in coastal China watersheds. (C) 2019 Elsevier B.V. All rights reserved.