Spatio-temporal evolution and influencing factors of synergizing the reduction of pollution and carbon emissions - Utilizing multi-source remote sensing data and GTWR model

Environmental Research, Journal Year: 2023, Volume and Issue: 229, P. 115775 - 115775

Published: April 6, 2023

Language: Английский

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Water quality and habitat drive phytoplankton taxonomic and functional group patterns in the Yangtze River

Ecological Processes, Journal Year: 2024, Volume and Issue: 13(1)

Published: Feb. 18, 2024

Abstract Background Although phytoplankton are important primary producers in food webs, they relatively less studied large rivers compared to other types of systems. To fill this research gap, we taxonomic and functional composition their relationships with water quality, habitat, climate, land use across 30 river sections the middle lower reaches Yangtze River during 2017–2018. Results Major observed groups were cyanobacteria, bacillariophyta, chlorophyta. Phytoplankton total abundance, biomass, species richness significantly decreased dry season wet season, differing between seasons. differences seasons mainly contributed by Oscillatoria sp., Pseudanabaena Melosira granulata . The dfferences P (including Closterium sp.), Lo Merismopedia Peridinium Ceratium Gymnodinium J Pediastrum Tetraedron Crucigenia Scenedesmus Coelastrum sp.). variance partitioning showed that quality (NO 3 -N, suspended solids, turbidity) habitat (water flow, bank channel conditions) critical factors shaping patterns, followed climate use. Conclusions indicated there was significant seasonal variation River, primarily driving patterns. Our study contributes understanding natural anthropogenic drive successional processes River. These findings have implications for environmental management as well towards ecological restoration rivers.

Language: Английский

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Community stability of free-living and particle-attached bacteria in a subtropical reservoir with salinity fluctuations over 3 years

Water Research, Journal Year: 2024, Volume and Issue: 254, P. 121344 - 121344

Published: Feb. 20, 2024

Language: Английский

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Water level fluctuations shape phytoplankton community in the Xiangxi Bay from Three Gorges Reservoir

Journal of Environmental Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Machine Learning-Based Early Warning of Algal Blooms: A Case Study of Key Environmental Factors in the Anzhaoxin River Basin

Water, Journal Year: 2025, Volume and Issue: 17(5), P. 725 - 725

Published: March 1, 2025

Algal blooms are a major risk to aquatic ecosystem health and potable water safety. Traditional statistical models often fail accurately predict algal bloom dynamics due their complexity. Machine learning, adept at managing high-dimensional non-linear data, provides superior predictive approach this challenge. In study, we employed support vector machine (SVM), random forest (RF), backpropagation neural network (BPNN) the severity of in Anzhaoxin River Basin based on an density-based grading standard. The SVM model demonstrated highest accuracy with training test set accuracies 0.96 0.92, highlighting its superiority small-sample learning. Shapley Additive Explanations (SHAP) technique was utilized evaluate contribution environmental variables various models. results show that TP is most significant factor affecting outbreak River, phosphorus management strategy more suitable for artificial body northeast China. This study contributes exploring potential application learning diagnosing predicting riverine ecological issues, providing valuable insights protection ecosystems Basin.

Language: Английский

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Total nitrogen and community turnover determine phosphorus use efficiency of phytoplankton along nutrient gradients in plateau lakes

Journal of Environmental Sciences, Journal Year: 2022, Volume and Issue: 124, P. 699 - 711

Published: Feb. 17, 2022

Language: Английский

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Riverine bacterioplankton and phytoplankton assembly along an environmental gradient induced by urbanization

Limnology and Oceanography, Journal Year: 2022, Volume and Issue: 67(9), P. 1943 - 1958

Published: July 8, 2022

Abstract Longitudinal environmental heterogeneity and directionality of the water movement are key features that may exert contrasting forces on riverine plankton assembly. Directionality strengthens dispersal‐driven assembly, but this can be masked by urbanization‐induced along river continuum. In light contrast, we aimed at delineating relative importance assembly processes generating distribution patterns bacterioplankton phytoplankton communities in a draining an urbanizing watershed Southeast China. We applied variation partitioning analysis, neutral community model, quantitative process estimate molecular morphological data obtained over years 2012–2016. Despite relatively short distance between sampling sites (< 20 km), similarity decreased with increasing from upstream pristine site toward downstream urban area, formed clusters roughly corresponded to five habitat patches, predefined based hydrology longitudinal landscape change. These were predominantly driven deterministic stochastic for bacterioplankton, respectively, indicating balance dispersal due fluvial connectivity local selective pressures. Considering global loss fragmentation flow regulation, our findings imply plankton‐based ecological approaches could useful hedge against uncertain future rivers watersheds ecologically sustainable way.

Language: Английский

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Novel insights in seasonal dynamics and co-existence patterns of phytoplankton and micro-eukaryotes in drinking water reservoir, Northwest China: DNA data and ecological model

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 857, P. 159160 - 159160

Published: Oct. 3, 2022

Language: Английский

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Characterization of microbial community, ecological functions and antibiotic resistance in estuarine plastisphere

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 866, P. 161322 - 161322

Published: Jan. 2, 2023

Language: Английский

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Analyzing the non-linear association between urbanization and ecological footprint: an empirical analysis

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(50), P. 109063 - 109076

Published: Sept. 28, 2023

Language: Английский

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