Publications by authors named "Yuanyang She"
Bacterial communities play a crucial role in maintaining the stability of river ecosystems and driving biogeochemical cycling, exhibiting high sensitivity to environmental change. However, understanding the spatial scale effects and assembly mechanisms of riverine bacterial communities under distinct anthropogenic disturbances remains a challenge. Here, we investigated bacterial communities across three distinct watersheds [i.
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- The study explores how human activity affects the relationship between landscape patterns and water quality in three rivers of the Poyang Lake Basin in China.
- It found that as human activity increases, the influence of riparian zone landscape patterns on water quality becomes more significant compared to sub-basin landscape patterns.
- Critical landscape metrics, such as construction land, farmland, and forestland, were identified as key factors affecting water quality at varying levels of human activity.
Article Synopsis
- A study analyzed water quality in small and medium-sized rivers in the Poyang Lake Basin by collecting samples at 25 points during wet and dry periods, using various statistical models to understand how land use and spatial patterns impact water quality.
- Results indicated that land use structure and spatial patterns explained approximately 59.72% of water quality variability during wet periods and 48.95% during dry periods, with specific scales (sub-basin and riparian areas) being crucial for these effects.
- The research also identified significant threshold effects, showing that certain proportions of construction, farmland, and forest land positively impacted water quality, while the influence of spatial patterns on water quality was less pronounced than that of land use
Article Synopsis
- Fine particulate matter (PM) is a critical atmospheric pollutant affecting human health, with varying influences from natural and socioeconomic factors across cities in China.
- A study from 2015 to 2019 analyzed PM levels in 252 cities, finding a significant decrease in PM concentrations, particularly in Eastern and Central China, with socioeconomic factors driving these changes more than natural factors.
- Key findings included that population density increased PM levels, while precipitation reduced them, and the decline in PM was attributed to a shift towards cleaner industrial practices following air quality regulations implemented in 2013.
Article Synopsis
- * Higher human activity in lower river areas leads to increased bacterioplankton diversity and shifts the community assembly process from stochastic (random) to more deterministic (predictable) influences.
- * Changes in water chemistry and geographic factors significantly affect bacterioplankton communities differently in dry vs. wet seasons, highlighting the impact of human activity on aquatic ecosystems and suggesting needs for environmental monitoring.