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Monitoring air quality can help for lakes excessive proliferation of phytoplankton control.
Zhang, Chengxiang; Pei, Hongcui; Liu, Cunqi; Wang, Wei; Lei, Guangchun.
Afiliación
  • Zhang C; School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China.
  • Pei H; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
  • Liu C; College of Life Sciences, Hebei University, Baoding, 071002, China.
  • Wang W; Institute of Environmental Information, Chinese Research Academy of Environment Sciences, Beijing, 100012, China.
  • Lei G; School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China. Electronic address: guangchun.lei@foxmail.com.
Environ Pollut ; 289: 117959, 2021 Nov 15.
Article en En | MEDLINE | ID: mdl-34435566
ABSTRACT
Previous studies assessing excessive proliferation of phytoplankton (EPP) in lakes are generally based on single investigation and focused on limited environmental factors; meanwhile, less attention has been paid to lakes susceptibility to EPP. Here, we identify the priority of lakes for EPP control in a basin by assessing EPP in multiple lakes and identify the key factors related to lakes' vulnerability to EPP. Field measurements, as well as multi-source survey data acquisition were conducted for 63 shallow lakes in the middle-lower Yangtze River basin. Resource-use efficiency by phytoplankton (RUE) was then used to represent lake susceptibility to EPP. Generalized linear models were used to assess the relative importance of environmental factors for RUE. We found that most lakes (76.19 %) were not suitable for recreation, due to health concern attributed to irritative or allergenic risk caused by EPP. Phosphorus was the primary limiting nutrient for EPP (74.60 % of lakes) which should be limited to < 0.09 mg/L. The linear model that included latitude, particulate matter 10, and precipitation explained 27.60 % of the variation of RUETP among lakes. In contrast, the linear model that included ozone, Secchi depth, and wind speed explained 19.41 % of the variation of RUETN among lakes. The key factor related to RUETP and RUETN was particulate matter 10 and ozone, respectively, both of which potentially increase RUE or reflect it. Our results suggest that integrating multiple survey datasets is critical for lakes EPP assessment in a basin, while lakes impacted by air pollution are a high priority for EPP control.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lagos / Contaminación del Aire Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Pollut Asunto de la revista: SAUDE AMBIENTAL Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lagos / Contaminación del Aire Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Pollut Asunto de la revista: SAUDE AMBIENTAL Año: 2021 Tipo del documento: Article País de afiliación: China
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