Early and late cyanobacterial bloomers in a shallow, eutrophic lake. Issue 8 (14th July 2022)

• Record Type: Journal Article
• Authors: Painter, Kristin J.; Venkiteswaran, Jason J.; Simon, Dana F.; Vo Duy, Sung; Sauvé, Sébastien; Baulch, Helen M.
• Is Part Of: Environmental science. Volume 24:Issue 8(2022)
• Page Start: 1212
• Page End: 1227
• Publication Date: 2022-07-14
• Subjects: Environmental monitoring -- Periodicals; Biological monitoring -- Periodicals; Environmental chemistry -- Periodicals; 363.7363
• DOI: 10.1039/d2em00078d
• Languages: English
• ISSNs: 2050-7887

Abstract

Abstract : Monitoring of a critical drinking water source reveals not all cyanobacteria that bloom can be detected using the chl- a /biomass relationship. Here we illustrate a shift from N-fixing Dolichospermum to a previously undetected autumn Planktothrix bloom. Abstract : Cyanobacterial blooms present challenges for water treatment, especially in regions like the Canadian prairies where poor water quality intensifies water treatment issues. Buoyant cyanobacteria that resist sedimentation present a challenge as water treatment operators attempt to balance pre-treatment and toxic disinfection by-products. Here, we used microscopy to identify and describe the succession of cyanobacterial species in Buffalo Pound Lake, a key drinking water supply. We used indicator species analysis to identify temporal grouping structures throughout two sampling seasons from May to October 2018 and 2019. Our findings highlight two key cyanobacterial bloom phases – a mid-summer diazotrophic bloom of Dolichospermum spp. and an autumn Planktothrix agardhii bloom. Dolichospermum crassa and Woronichinia compacta served as indicators of the mid-summer and autumn bloom phases, respectively. Different cyanobacterial metabolites were associated with the distinct bloom phases in both years: toxic microcystins were associated with the mid-summer Dolichospermum bloom and some newly monitored cyanopeptides (anabaenopeptin A and B) with the autumn Planktothrix bloom. Despite forming a significant proportion of the autumn phytoplankton biomass (>60%), the Planktothrix bloom had previously not been detected by sensor or laboratory-derived chlorophyll- a . Our results demonstrate the power of targeted taxonomic identification of key species as a tool for managers of bloom-prone systems. Moreover, we describe an autumn Planktothrix agardhii bloom that has the potential to disrupt water treatment due to its evasion of detection. Our findings highlight the importance of identifying this autumn bloom given the expectation that warmer temperatures and a longer ice-free season will become the norm.