Research Progress on Cyanobacteria Bloom Monitoring Methods and Driving Factors

Authors

  • Qingzhu Zhang

DOI:

https://doi.org/10.62051/ijnres.v5n2.11

Keywords:

Cyanobacteria bloom; Remote sensing; Influencing factors.

Abstract

Cyanobacteria bloom is one of the most serious water ecological environment problems in the world and have large impact on public health and aquatic ecosystems worldwide. The harmful effects of algal blooms not only include reduced aesthetics and recreational opportunities, but more seriously, algal toxins are produced during the outbreak, killing plants and animals in the water, threatening the safety of drinking water and quality of life of local residents. Scientific and accurate inversion of the temporal and spatial changes of cyanobacteria bloom and comprehensive and in-depth analysis of the causes of cyanobacteria bloom outbreak are the current research focus. This paper describes the main monitoring methods of cyanobacteria bloom and the influencing factors of the outbreak. Finally, through the investigation and summary of the research status of cyanobacteria bloom at home and abroad, it analyzes the existing problems in the field of research status, and finally analyzes its future development trend in related directions.

References

[1] Yun-huai, Zhang. “Simulation of illumination influences to cyanobacteria’s vertical migration in THE THREE GORGES RESERVOIR AREA.” Resources and Environment in the Yangtze Basin (2010): n. pag.

[2] Qin BQ, Zhou JJ, Elser JJ et al. Water depth underpins the relative roles and fates of nitrogen and phosphorus in lakes. Environmental Science & Technology, 2020, 54(6): 3191-3198.

[3] Wen Chengcheng, Huang Tinglin, Kong Changhao,et al. Analysis of Mechanism and Start-up Thresholds of Seasonal Algal Blooms in a Northern Eutrophic Stratified Reservoir[J]. Environmental Science, 2023, 44(3): 1452-1464.

[4] BoQiang Qin , GuiJun Yang , Jianrong Ma. (2016). Dynamics of variability and mechanism ofharmful cyanobacteria bloom in Lake Taihu, China.[J]. Chin Sci Bull, 2016.

[5] Tang Xiaoxian, Shen Ming, Duan Hongtao. Temporal and spatial distribution of algal blooms in Lake Chaohu, 2000-2015[J] Journal of Lake Sciences, 2017, 29(2): 276-284.

[6] Hu C. A novel ocean color index to detect floating algae in the global oceans [J]. Remote Sensing of Environment, 2009, 113(10): 2118-2129.

[7] Ma J, Jin S, Li J, et al. Spatio-temporal variations and driving forces of harmful algal blooms in Chaohu Lake: a multi-source remote sensing approach [J]. Remote Sensing, 2021, 13(3).

[8] Kann J, Welch EB. Wind control on water quality in shallow, hypereutrophic upper klamath lake, Oregon. Lake and Reservoir Management, 2005, 21(2): 149-158.

[9] Havens KE, Jin KR, Rodusky AJ et al. Hurricane effects on a shallow lake ecosystem and its response to a controlled manipulation of water level. The Scientific World Journal, 2001, 1: 44-70.

[10] Shi K, Zhang YL, Zhang YB et al. Phenology of phytoplankton blooms in a trophic lake observed from long-term MODIS data. Environmental Science & Technology, 2019, 53(5): 2324-2331.

[11] Berman T, Shteinman B. Phytoplankton development and turbulent mixing in Lake Kinneret (1992-1996). Journal of Plankton Research, 1998, 20(4): 709-726.

[12] Li Jialong, Luo Chunliang, Lu Heng,et al. Spatio-temporal variation and driving factors of algal bloom at Lake Dianchi during 2002-2018 [J]. Acta Ecologica Sinica, 2023,43( 2) : 878-89110.

[13] Gao Rui, Chen Xizi, Qian Yuan,et al. Analysis to Dynamic changes and Driving Factors of Cyanobacteria Blooms in Chaohu Lake from 2012 to 2021 [J]. Journal of Anhui Agricultural Sciences, 2023,51(18):69-73.

[14] Zhang M, Duan H, Shi X, et al. Contributions of meteorology to the phenology of cyanobacterial blooms: implications for future climate change [J]. Water Research, 2012, 46(2): 442–452 13.

[15] Schindler, D. W. Eutrophication and recovery in experimental lakes: implications for lake management. Science 184, 897–899 (1974).

[16] Jeppesen, E. et al. Lake responses to reduced nutrient loading: an analysis of contemporary longterm data from 35 case studies. Freshwater Biol. 50, 1747–1771 (2005).

[17] Fastner, J. et al. Combating cyanobacterial proliferation by avoiding or treating inflows with high P load: experiences from eight case studies. Aquat. Ecol.50, 367–383 (2016).

[18] Grizzetti, B., Bouraoui, F. & Aloe, A. Changes of nitrogen and phosphorus loads to European seas. Glob. Change Biol. 18, 769–782 (2012).

[19] Glibert, P. M., Maranger, R., Sobota, D. J. & Bouwman, L. The Haber Bosch–harmful algal bloom (HB–HAB) link. [J] Environ. Res. Lett. 9, 105001 (2014).

[20] Paerl, H. W. & Huisman, J. Blooms like it hot. [J]Science320, 57–58 (2008).

[21] Van de Waal, D. B. et al. The ecological stoichiometry of toxins produced by harmful cyanobacteria an experimental test of the carbon–nutrient balance hypothesis. Ecol. Lett. 12, 1326–1335 (2009).

[22] Jöhnk, K. D. et al. Summer heatwaves promote blooms of harmful cyanobacteria. Glob. Chang. Biol.14, 495–512 (2008).

[23] Paerl, H. W. & Huisman, J. Climate change: a catalyst for global expansion of harmful cyanobacterial blooms. Environ. Microbiol. Rep. 1, 27–37(2009).

[24] Elliott, J. A. The seasonal sensitivity of cyanobacteria and other phytoplankton to changes in flushing rate and water temperature. Glob. Chang. Biol. 16, 864–876 (2010).

[25] Walsby, A. E., Hayes, P. K., Boje, R. & Stal, L. J. The selective advantage of buoyancy provided by gas vesicles for planktonic cyanobacteria in the Baltic Sea. New Phytol. 136, 407–417 (1997).

[26] Huisman, J. et al. Changes in turbulent mixing shift competition for light between phytoplankton species. Ecology 85, 2960–2970 (2004).

[27] Michalak, A. M. et al. Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions. Proc. Natl Acad. Sci. USA 110, 6448–6452 (2013) 29.

[28] Przytulska, A., Bartosiewicz, M. & Vincent, W. F. Increased risk of cyanobacterial blooms in northern high-latitude lakes through climate warming and phosphorus enrichment. Freshwater Biol. 62, 1986–1996 (2017). 144.

[29] Taranu, Z. E., Zurawell, R. W., Pick, F. & Gregory-Eaves, I.Predicting cyanobacterial dynamics in the face of global change: the importance of scale and environmental context. Glob. Change Biol. 18, 3477–3490 (2012).

[30] Nneville, O., Domaizon, I., Kerimoglu, O., Rimet, F. &Jacquet, S. Blue-green algae in a “Greenhouse Century” New insights from field data on climate change impacts on cyanobacteria abundance. Ecosystems 18, 441–458 (2015).

[31] Thomas, M. K. & Litchman, E. Effects of temperature and nitrogen availability on the growth of invasive and native cyanobacteria. Hydrobiologia 763, 357–369 (2016).

[32] Posch, T., Köster, O., Salcher, M. M. & Pernthaler, J. Harmful filamentous cyanobacteria favoured by reduced water turnover with lake warming. Nat. Clim. Change 2, 809–813 (2012).

[33] Reichwaldt, E. S. & Ghadouani, A. Effects of rainfall patterns on toxic cyanobacterial blooms in a changing climate: between simplistic scenarios and complex dynamics. Water Res. 46, 1372–1393 (2012).

[34] Michalak, A. M. et al. Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions. Proc. Natl Acad. Sci. USA 110, 6448–6452 (2013).

[35] LI Yachun, Xie Xiaoping, Hang Xing, et al. Analysis of wind field features causing cyanobacteria bloom in Taihu Lake combined with remote sensing methods [J]. China Environmental Science, 2016, 36(2): 525-533.

[36] Rigosi A, Carey CC, Ibelings BW, et al. The interaction between climate warming and eutrophication to promote cyanobacteria is dependent on trophic state and varies among taxa. Limnology and Oceanography, 2014, 59(1): 99-114.

[37] Lu Weikun, Yu Lingxiang, Ou Xiaokun,er al. Relationship between occurrence frequency of cyanobacteria bloom and meteorological factors in Lake Dianchi. [J]. Lake Sci.2017,29(3):534-545.

[38] Qin Boqiang, Yang Guijun, Ma Jianrong,et al. Dynamics of variability and mechanism of harmful cyanobacteria bloom in Lake Taihu, China [J]. Chinese Science Bulletin, 2016, 61(7): 759-770.

[39] Yu P, Gao R, Zhang D, et al. Predicting coastal algal blooms with environmental fa. ctors by machine learning methods [J]. Ecological Indicators, 2021, 123.

[40] Deng J, Zhang W, Qin B et al. Effects of climatically-modulated changes in solar radiation and wind speed on spring phytoplankton community dynamics in Lake Taihu, China. Plos One, 2018, 13(10): e0205260.

[41] Wang H, Zhang Z, Liang D et al. Separation of wind’s influence on harmful cyanobacterial blooms. Water Research, 2016, 98: 280-292.

[42] Zhang Y, Loiselle S, Shi K et al. Wind effects for floating algae dynamics in eutrophic lakes. Remote Sensing, 2021, 13(4): 800.

[43] Chapra, S. C. et al. Climate change impacts on harmful algal blooms in US freshwaters: a screening-level assessment. Environ. Sci. Technol. 51, 8933–8943(2017).

[44] Przytulska, A., Bartosiewicz, M. & Vincent, W. F. Increased risk of cyanobacterial blooms in northern high-latitude lakes through climate warming and phosphorus enrichment. Freshwater Biol. 62, 1986–1996 (2017).

[45] XU Yinsheng; ZHAO Lin. Analysis of Spatial and Temporal Changes of Cyanobacteria Bloom in Taihu Lake Based on Remote Sensing Technology [J]. Henan Water Resources & South-to-North Water Diversion. 2023,52(06):5-6.

[46] Cofer, M. M., Schaefer, B. A., Darling, J. A., Urquhart, E. A. & Salls, W. B. Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing. Ecol. Indic. 111, 105976 (2020).

Downloads

Published

27-03-2025

Issue

Section

Articles

How to Cite

Zhang, Q. (2025). Research Progress on Cyanobacteria Bloom Monitoring Methods and Driving Factors. International Journal of Natural Resources and Environmental Studies, 5(2), 87-94. https://doi.org/10.62051/ijnres.v5n2.11