Hudnell, H. K. The state of US freshwater harmful algal blooms assessments, policy and legislation. Toxicon 55, 1024–1034 (2010).
Google Scholar
Hudnell, H. K. & Dortch, Q. in Cyanobacterial Harmful Algal Blooms: State of the Science and Research Needs (ed. Hudnell, H. K.) 17–43 (Springer, 2008).
Loftin, K. A. et al. Cyanotoxins in inland lakes of the United States: occurrence and potential recreational health risks in the EPA National Lakes Assessment 2007. Harmful Algae 56, 77–90 (2016).
Google Scholar
Dodds, W. K. et al. Eutrophication of US freshwaters: analysis of potential economic damages. Environ. Sci. Technol. 43, 12–19 (2009).
Google Scholar
Jetoo, S., Grover, V. I. & Krantzberg, G. The Toledo drinking water advisory: suggested application of the water safety planning approach. Sustainability 7, 9787–9808 (2015).
Google Scholar
Water Advisory After-Action Assessment (Novak Consulting Group, 2018).
Milly, P. C. D. et al. Stationarity is dead: whither water management? Science 319, 573–574 (2008).
Google Scholar
Hallegatte, S. Strategies to adapt to an uncertain climate change. Glob. Environ. Change 19, 240–247 (2009).
Google Scholar
A Compilation of Cost Data Associated with the Impacts and Control of Nutrient Pollution EPA 820-F-15-096 (EPA, 2015).
Brooks, B. W. et al. Are harmful algal blooms becoming the greatest inland water quality threat to public health and aquatic ecosystems? Environ. Toxicol. Chem. 35, 6–13 (2016).
Google Scholar
He, X. et al. Toxic cyanobacteria and drinking water: impacts, detection, and treatment. Harmful Algae 54, 174–193 (2016).
Google Scholar
Recommendations for Public Water Systems to Manage Cyanotoxins in Drinking Water EPA 815-R-15-010 (EPA, 2015).
Zamyadi, A. et al. Toxic cyanobacterial breakthrough and accumulation in a drinking water plant: a monitoring and treatment challenge. Water Res. 46, 1511–1523 (2012).
Google Scholar
Walker, B. & Wathen, E. Across US, Toxic Blooms Pollute Lakes (EWG, 2018); https://www.ewg.org/toxicalgalblooms/
Carmichael, W. W. & Boyer, G. L. Health impacts from cyanobacteria harmful algae blooms: implications for the North American Great Lakes. Harmful Algae 54, 194–212 (2016).
Google Scholar
Davis, T. W., Berry, D. L., Boyer, G. L. & Gobler, C. J. 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 (2009).
Google Scholar
Ho, J. C. & Michalak, A. M. Challenges in tracking harmful algal blooms: a synthesis of evidence from Lake Erie. J. Great Lakes Res. 41, 317–325 (2015).
Google Scholar
Paerl, H. W. & Paul, V. J. Climate change: links to global expansion of harmful cyanobacteria. Water Res. 46, 1349–1363 (2012).
Google Scholar
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).
Google Scholar
Paerl, H. W. & Huisman, J. Climate change: a catalyst for global expansion of harmful cyanobacterial blooms. Environ. Microbiol. Rep. 1, 27–37 (2009).
Google Scholar
Mullin, C. A. & Kirchhoff, C. J. Marshaling adaptive capacities within an adaptive management framework to enhance the resiliency of wastewater systems. J. Am. Water Resour. Assoc. 55, 906–919 (2019).
Google Scholar
Henrie, T., Plummer, S. & Roberson, J. A. Occurrence and state approaches for addressing cyanotoxins in US drinking water. J. Am. Water Works Assoc. 109, 40–47 (2017).
Google Scholar
EPA drinking water health advisories for cyanotoxins. EPA https://www.epa.gov/cyanohabs/epa-drinking-water-health-advisories-cyanotoxins (accessed 25 April 2021).
Watson, S. B. et al. in Freshwater Algae of North America: Ecology and Classification (eds Wehr, J. D. et al.) 873–920 (Academic Press, 2015); https://doi.org/10.1016/B978-0-12-385876-4.00020-7
Moore, S. K. et al. Impacts of climate variability and future climate change on harmful algal blooms and human health. Environ. Health 7, S4 (2008).
Google Scholar
Anderson, D. M., Glibert, P. M. & Burkholder, J. M. Harmful algal blooms and eutrophication: nutrient sources, composition, and consequences. Estuaries 25, 704–726 (2002).
Google Scholar
Olson, G., Wilczak, A., Boozarpour, M., Degraca, A. & Weintraub, J. M. Evaluating and prioritizing contaminants of emerging concern in drinking water. J. Am. Water Works Assoc. 109, 54–63 (2017).
Google Scholar
The Fourth Unregulated Contaminant Monitoring Rule (UCMR 4): Data Summary, April 2021 (EPA, 2021).
Beversdorf, L. J. et al. Analysis of cyanobacterial metabolites in surface and raw drinking waters reveals more than microcystin. Water Res. 140, 280–290 (2018).
Google Scholar
Almuhtaram, H., Cui, Y., Zamyadi, A. & Hofmann, R. Cyanotoxins and cyanobacteria cell accumulations in drinking water treatment plants with a low risk of bloom formation at the source. Toxins 10, 430 (2018).
Google Scholar
Wolf, D. & Klaiber, H. A. Bloom and bust: toxic algae’s impact on nearby property values. Ecol. Econ. 135, 209–221 (2017).
Google Scholar
Smith, E. A., Blanchard, P. B. & Bargu, S. Education and public outreach concerning freshwater harmful algal blooms in southern Louisiana. Harmful Algae 35, 38–45 (2014).
Google Scholar
Brisson, G., Dubé, K., Doyon, S. & Lévesque, B. Social construction of cyanobacteria blooms in Quebec: a matter of perceptions and risk management. Sage Open 7, 1–10 (2017).
Google Scholar
Zhang, W. & Sohngen, B. Do US anglers care about harmful algal blooms? A discrete choice experiment of Lake Erie recreational anglers. Am. J. Agric. Econ. 100, 868–888 (2018).
Google Scholar
McCarty, C. L. et al. Community needs assessment after microcystin toxin contamination of a municipal water supply—Lucas County, Ohio, September 2014. Morb. Mortal Wkly Rep. 65, 925–929 (2016).
Google Scholar
Wilson, R. S., Howard, G. & Burnett, E. A. Improving nutrient management practices in agriculture: the role of risk-based beliefs in understanding farmers’ attitudes toward taking additional action. Water Resour. Res. 5, 6735–6746 (2014).
Google Scholar
Renn, O. The social amplification/attenuation of risk framework: application to climate change. Wiley Interdiscip. Rev. Clim. Change 2, 154–169 (2011).
Google Scholar
Breakwell, G. M. Models of risk construction: some applications to climate change. Wiley Interdiscip. Rev. Clim. Change 1, 857–870 (2010).
Google Scholar
Kirchhoff, C. J. & Watson, P. L. Are wastewater systems adapting to climate change? J. Am. Water Resour. Assoc. 55, 869–880 (2019).
Google Scholar
Bubeck, P., Botzen, W. J. W. & Aerts, J. A review of risk perceptions and other factors that influence flood mitigation behavior. Risk Anal. 32, 1481–1495 (2012).
Google Scholar
Soane, E. et al. Flood perception and mitigation: the role of severity, agency, and experience in the purchase of flood protection, and the communication of flood information. Environ. Plan. A 42, 3023–3038 (2010).
Google Scholar
Wachinger, G., Renn, O., Begg, C. & Kuhlicke, C. The risk perception paradox—implications for governance and communication of natural hazards. Risk Anal. 33, 1049–1065 (2013).
Google Scholar
Dittrich, R., Wreford, A., Butler, A. & Moran, D. The impact of flood action groups on the uptake of flood management measures. Climatic Change 138, 471–489 (2016).
Google Scholar
Pahl-Wostl, C. An evolutionary perspective on water governance: from understanding to transformation. Water Resour. Manag. 31, 2917–2932 (2017).
Google Scholar
Dilling, L., Daly, M. E., Travis, W. R., Wilhelmi, O. V. & Klein, R. A. The dynamics of vulnerability: why adapting to climate variability will not always prepare us for climate change. Wiley Interdiscip. Rev. Clim. Change 6, 413–425 (2015).
Google Scholar
Coastal SEES: Lake Erie. Notes from October 26 workshop titled The Future of Harmful Algal Blooms held at Ottawa National Wildlife Refuge (2018).
Gerding, J. A. et al. Uncovering environmental health: an initial assessment of the profession’s health department workforce and practice. J. Environ. Health 81, 24–33 (2019).
Bazerman, M. H. Climate change as a predictable surprise. Climatic Change 77, 179–193 (2006).
Google Scholar
Bolson, J., Martinez, C., Breuer, N., Srivastava, P. & Knox, P. Climate information use among southeast US water managers: beyond barriers and toward opportunities. Reg. Environ. Change 13, 141–151 (2013).
Google Scholar
Kirchhoff, C. J. Understanding and enhancing climate information use in water management. Climatic Change 119, 495–509 (2013).
Google Scholar
Lemos, M. C., Kirchhoff, C. J. & Ramprasad, V. Narrowing the climate information usability gap. Nat. Clim. Change 2, 789–794 (2012).
Google Scholar
Dillman, D. A., Smyth, J. D. & Christian, L. M. Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method (Wiley, 2014).
Tourangeau, R. & Plewes, T. J. Nonresponse in Social Science Surveys: A Research Agenda (National Academic Press, 2013); https://doi.org/10.17226/18293
Sánchez-Fernández, J., Muñoz-Leiva, F. & Montoro-Ríos, F. J. Improving retention rate and response quality in Web-based surveys. Comput. Human Behav. 28, 507–514 (2012).
Google Scholar
Hollister, J. W. & Kreakie, B. J. Associations between chlorophyll a and various microcystin health advisory concentrations. F1000Res. 5, 151 (2016).
RStudio Team RStudio: Integrated Development for R (RStudio, PBC, 2019).
Fox, J. & Weisberg, S. An R Companion to Applied Regression (Sage, 2019).
Source: Resources - nature.com
