Abstract
The present study provides a detailed analysis of the factors influencing variation in cyanobacterial communities of a large shallow off-river drinking water reservoir on the east coast of Australia. Receiving multiple inflows from two unprotected mixed land-use catchments, the Grahamstown Reservoir is a model example of a reservoir which is highly vulnerable to adverse water quality issues, including phytoplankton blooms and the resulting filtration, toxin and taste and odour problems produced. The spatial and temporal distributions of cyanobacteria were assessed for a period of 3 years (January 2012–December 2014) based on samples collected from three monitoring stations within the reservoir. Relationships between cyanobacterial abundance and a range of environmental factors were evaluated by application of multivariate curve resolution–alternating least squares (MCR-ALS) analysis.
Results of the analysis indicated that among the 22 physico-chemical variables and 14 cyanobacterial taxa measured, the vertical temperature gradient within the water column and nutrient availability were the most powerful explanatory factors for the observed temporal and spatial distribution patterns in the densities of cyanobacterial taxa. The abundance patterns of the dominant cyanobacterial taxa—Aphanocapsa, Aphanothece, Microcystis and Pseudanabaena—were strongly linked with rainfall and run-off patterns into the reservoir, while Coelosphaerium and Microcystis were the taxa most influenced by the apparent occurrence of thermal stratification. The findings demonstrate the capacity of rigorous multivariate data analysis to identify more subtle relationships between water quality variables, catchment factors and cyanobacterial growth in drinking water reservoirs.
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References
Berg, M., & Sutula, M. (2015). Factors affecting growth of cyanobacteria with special emphasis on the Sacramento-San Joaquin Delta.
Bormans, M., Maier, H., Burch, M., & Baker, P. (1998). Temperature stratification in the lower River Murray, Australia: Implication for cyanobacterial bloom development. Marine and Freshwater Research, 48, 647–654. https://doi.org/10.1071/MF97058.
Chorus, I., & Bartram, J. (1999). Toxic cyanobacteria in water: A guide to their public health consequences, monitoring and management. CRC Press.
Cole, B., & Williams, B. (2011). Grahamstown dam water quality & aquatic ecological functioning, a compilation of scientific and adaptive management studies. Hunter Water Corporation unpublished report.
Davis, T. W., Berry, D. L., Boyer, G. L., & Gobler, C. J. (2009). The effects of temperature and nutrients on the growth and dynamics of toxic and non-toxic strains of Microcystis during cyanobacteria blooms. Harmful Algae, 8, 715–725. https://doi.org/10.1016/j.hal.2009.02.004.
de Figueiredo, D. R., Azeiteiro, U. M., Esteves, S. M., Gonçalves, F. J., & Pereira, M. J. (2004). Microcystin-producing blooms—A serious global public health issue. Ecotoxicology and Environmental Safety, 59, 151–163. https://doi.org/10.1016/j.ecoenv.2004.04.006.
Harke, M. J., Davis, T. W., Watson, S. B., & Gobler, C. J. (2016). Nutrient-controlled niche differentiation of western Lake Erie cyanobacterial populations revealed via metatranscriptomic surveys. Environmental Science & Technology, 50, 604–615. https://doi.org/10.1021/acs.est.5b03931.
Hoyos, C. D., Negro, A., & Aldasoro Martín, J. J. (2004). Cyanobacteria distribution and abundance in the Spanish water reservoirs during thermal stratification. Limnetica, 23, 119–132.
Jaumot, J., de Juan, A., & Tauler, R. (2015). MCR-ALS GUI 2.0: New features and applications. Chemometrics and Intelligent Laboratory Systems, 140, 1–12. https://doi.org/10.1016/j.chemolab.2014.10.003.
Jaumot, J., Gargallo, R., de Juan, A., & Tauler, R. (2005). A graphical user-friendly interface for MCR-ALS: A new tool for multivariate curve resolution in MATLAB. Chemometrics and Intelligent Laboratory Systems, 76, 101–110. https://doi.org/10.1016/j.chemolab.2004.12.007.
Ji, X., Verspagen, J. M. H., Stomp, M., & Huisman, J. (2017). Competition between cyanobacteria and green algae at low versus elevated CO2: Who will win, and why? Journal of Experimental Botany, 68, 3815–3828. https://doi.org/10.1093/jxb/erx027.
Joehnk, K. D., Huisman, J., Sharples, J., Sommeijer, B., Visser, P. M., & Stroom, J. M. (2008). Summer heatwaves promote blooms of harmful cyanobacteria. Global Change Biology, 14, 495–512. https://doi.org/10.1111/j.1365-2486.2007.01510.x.
Jones, G.J., & Poplawski, W. (1998). Understanding and management of cyanobacterial blooms in sub-tropical reservoirs of Queensland, Australia. Water Science and Technology, 37, 161–168. https://doi.org/10.1016/S0273-1223(98)00020-1.
Konopka, A., & Brock, T. D. (1978). Effect of temperature on blue-green algae (cyanobacteria) in Lake Mendota. Applied and Environmental Microbiology, 36, 572–576.
Komárková, J., Komárek, O., & Hejzlar, J. (2003). Evaluation of the long term monitoring of phytoplankton assemblages in a canyon-shape reservoir using multivariate statistical methods. Hydrobiologia, 504, 143–157. https://doi.org/10.1023/B:HYDR.0000008514.45771.aa.
Liang, C., Das, K., & McClendon, R. (2003). The influence of temperature and moisture contents regimes on the aerobic microbial activity of a biosolids composting blend. Bioresource Technology, 86, 131–137. https://doi.org/10.1016/S0960-8524(02)00153-0.
Malik, A., & Tauler, R. (2013). Extension and application of multivariate curve resolution-alternating least squares to four-way quadrilinear data-obtained in the investigation of pollution patterns on Yamuna River, India—A case study. Analytica Chimica Acta, 794, 20–28. https://doi.org/10.1016/j.aca.2013.07.047.
Malik, A., & Tauler, R. (2014). Performance and validation of MCR-ALS with quadrilinear constraint in the analysis of noisy datasets. Chemometrics and Intelligent Laboratory Systems, 135, 223–234. https://doi.org/10.1016/j.chemolab.2014.04.002.
Müller, S., Mitrovic, S. M., & Baldwin, D. S. (2016). Oxygen and dissolved organic carbon control release of N, P and Fe from the sediments of a shallow, polymictic lake. Journal of Soils and Sediments, 16, 1109–1120. https://doi.org/10.1007/s11368-015-1298-9.
Noges, P., Noges, T., Ghiani, M., Sena, F., Fresner, R., Friedl, M., & Mildner, J. (2011). Increased nutrient loading and rapid changes in phytoplankton expected with climate change in stratified South European lakes: Sensitivity of lakes with different trophic state and catchment properties. Hydrobiologia, 667, 255–270. https://doi.org/10.1007/s10750-011-0649-9.
O’Neil, J. M., Davis, T. W., Burford, M. A., & Gobler, C. J. (2012). The rise of harmful cyanobacteria blooms: The potential roles of eutrophication and climate change. Harmful Algae, 14, 313–334. https://doi.org/10.1016/j.hal.2011.10.027.
Ouyang, Y. (2005). Evaluation of river water quality monitoring stations by principal component analysis. Water Research, 39, 2621–2635. https://doi.org/10.1016/j.watres.2005.04.024.
Paerl, H. W., & Paul, V. J. (2012). Climate change: Links to global expansion of harmful cyanobacteria. Water Research, 46, 1349–1363. https://doi.org/10.1016/j.watres.2011.08.002.
Parinet, B., Lhote, A., & Legube, B. (2004). Principal component analysis: An appropriate tool for water quality evaluation and management—Application to a tropical lake system. Ecological Modelling, 178, 295–311. https://doi.org/10.1016/j.ecolmodel.2004.03.007.
Reichwaldt, E. S., & Ghadouani, A. (2012). Effects of rainfall patterns on toxic cyanobacterial blooms in a changing climate: Between simplistic scenarios and complex dynamics. Water Research, 46, 1372–1393. https://doi.org/10.1016/j.watres.2011.11.052.
Robson, B. J., & Hamilton, D. P. (2003). Summer flow event induces a cyanobacterial bloom in a seasonal Western Australian estuary. Marine and Freshwater Research, 54, 139–151. https://doi.org/10.1071/MF02090.
Smith, J. L., Boyer, G. L., & Zimba, P. V. (2008). A review of cyanobacterial odorous and bioactive metabolites: Impacts and management alternatives in aquaculture. Aquaculture, 280, 5–20. https://doi.org/10.1016/j.aquaculture.2008.05.007.
Sterner, R. W. (1989). Resource competition during seasonal succession toward dominance by cyanobacteria. Ecology, 70, 229–245. https://doi.org/10.2307/1938429.
Tauler, R. (1995). Multivariate curve resolution applied to second order data. Chemometrics and Intelligent Laboratory Systems, 30, 133–146. https://doi.org/10.1016/0169-7439(95)00047-X.
Tauler, R., Smilde, A., & Kowalski, B. (1995). Selectivity, local rank, three-way data analysis and ambiguity in multivariate curve resolution. Journal of Chemometrics, 9, 31–58. https://doi.org/10.1002/cem.1180090105.
Tromas, N., Taranu, Z. E., Martin, B. D., Willis, A., Fortin, N., Greer, C. W., & Shapiro, B. J. (2018). Niche separation increases with genetic distance among bloom-forming cyanobacteria. Frontiers in Microbiology, 9, 1–12. https://doi.org/10.3389/fmicb.2018.00438.
Van de Waal, D. B., Verspagen, J. M. H., Finke, J. F., Vournazou, V., Immers, A. K., Kardinaal, W. E. A., Tonk, L., Becker, S., Van Donk, E., Visser, P. M., & Huisman, J. (2011). Reversal in competitive dominance of a toxic versus non-toxic cyanobacterium in response to rising CO2. The ISME Journal, 5, 1438–1450. https://doi.org/10.1038/ismej.2011.28.
Vardaka, E., Moustaka-Gouni, M., Cook, C. M., & Lanaras, T. (2005). Cyanobacterial blooms and water quality in Greek waterbodies. Journal of Applied Phycology, 17, 391–401. https://doi.org/10.1007/s10811-005-8700-8.
Wagner, C., & Adrian, R. (2009). Cyanobacteria dominance: Quantifying the effects of climate change. Limnology and Oceanography, 54, 2460–2468. https://doi.org/10.4319/lo.2009.54.6_part_2.2460.
Wiltsie, D., Schnetzer, A., Green, J., Vander Borgh, M., & Fensin, E. (2018). Algal blooms and cyanotoxins in Jordan Lake, North Carolina. Toxins, 10, 92–115. https://doi.org/10.3390/toxins10020092.
Wu, X., Kong, F., Chen, Y., Qian, X., Zhang, L., Yu, Y., Zhang, M., & Xing, P. (2010). Horizontal distribution and transport processes of bloom-forming Microcystis in a large shallow lake (Taihu, China). Limnologica - Ecology and Management of Inland Waters, 40, 8–15. https://doi.org/10.1016/j.limno.2009.02.001.
Zhang, Y., Wu, Z., Liu, M., He, J., Shi, K., Zhou, Y., Wang, M., & Liu, X. (2015). Dissolved oxygen stratification and response to thermal structure and long-term climate change in a large and deep subtropical reservoir (Lake Qiandaohu, China). Water Research, 75, 249–258. https://doi.org/10.1016/j.watres.2015.02.052.
Acknowledgements
The PhD scholarship (AG) from the University of Newcastle is highly appreciated. The authors would like to thank the Hunter Water Corporation (Hunter Water) for providing data and partially funding the research.
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Highlights
• Differential response to physico-chemical factors observed between individual taxa
• Differential spatial and temporal patterns of abundance observed between taxa
• Temporal relationship identified for factors linked to elevated Microcystis growth
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Golshan, A., Evans, C., Geary, P. et al. Patterns of cyanobacterial abundance in a major drinking water reservoir: what 3 years of comprehensive monitoring data reveals?. Environ Monit Assess 192, 113 (2020). https://doi.org/10.1007/s10661-020-8090-z
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DOI: https://doi.org/10.1007/s10661-020-8090-z