Vertical distribution characteristics of microplastics and bacterial communities in the sediment columns of Jianhu lake in China.

Microorganisms change the properties of microplastics, at the same time, microplastics can also affect the distribution of microorganisms. To investigate this issue, we chose to study Jianhu Lake, a plateau lake in southwestern China, by collecting data at three sampling locations. The microplastics and bacterial communities in the sediment columns of Jianhu Lake were sampled within a 0 to 60 cm profile, and the basic characteristics of microplastic abundance, shape, color, size, and polymer type were determined accordingly, via their collection, separation, extraction, and identification.

Long-term deposition records of microplastics in a plateau lake under the influence of multiple natural and anthropogenic factors.

Microplastic accumulation in the lake aquatic environment has attracted worldwide attention, but the long-term deposition characteristics and influencing factors of microplastics are not clear. Hence, we attempted to analyze the factors that influence the accumulation of microplastics during the process of natural environmental change and social development through the method of the sedimentological approach. In this investigation, the chronological sequence of sediment core was set up based on lead-210 composition to study microplastic accumulation rates in a plateau lake, Jianhu Lake.

[Effects of plant community and soil properties on soil bacterial community in Bitahai Wetland, Southwest China].

Soil microorganism was the engine of the migration and transformation of biological elements in the soil-plant system of wetland ecosystems. Exploring the relationship between plant community, soil properties, and spatial structure with soil microorganisms is the key to maintain the health and stability of wetlands. In order to examine the effects of plant community, soil properties, and spatial structure on the bacterial community in wetlands, we used two-way indicator species analysis (TWINSPAN) to classify plant communities from 35 samples collected in Bitahai Wetland.