Leveraging Bayesian network to reveal the importance of water level in a shallow lake ecosystem: A study based on Paleo-diatom and fish community

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 930, P. 172341 - 172341

Published: April 18, 2024

Language: Английский

Leveraging Bayesian Network to Reveal the Importance of Water Level in a Shallow Lake Ecosystem: A Study Based on Paleo-Diatom and Fish Community

Published: Jan. 1, 2024

Lake ecological processes and nutrient patterns are increasingly affected by water level variation around the world. Still, long-term effects of change on lake ecosystems their implications for suitable management have rarely been studied. Here, we studied ecosystem dynamics a mesotrophic located in cold arid region northern China based paleo-diatom fishery records. Utilizing novel Copula-Bayesian Network model, possible hydrological-driven evolution was discussed. Results show that increased concentration caused first drop early 1980s incurred transition sedimental diatoms towards pollution-resistant species, following rise mid-1980s brought about considerable external loading, which attributed to eutrophication miniaturization structure. In 21st century, continuous plummet further reduced sediment diatom biomass fish altering concentration. However, with implementation diversion project 2011, oligotrophic species developed better. From perspective quality protection requirements well-being Hulun Lake, appropriate range should be 542.42-544.15m. summary, our study highlights coupling effect give shed operation under future climate human activities.

Language: Английский

Vegetation restoration limited microbial carbon sequestration in areas affected by soil erosion

Applied Soil Ecology, Journal Year: 2024, Volume and Issue: 202, P. 105601 - 105601

Published: Aug. 22, 2024

Language: Английский