Using visible near-infrared reflectance spectroscopy (VNIRS) of lake sediments to estimate historical changes in cyanobacterial production: potential and challenges
“…VNIRS is an emerging technique used to examine long-term cyanobacteria trends based on absorption spectra, and Favot et al (2020) has demonstrated general agreement between cyanobacterial VNIRS and HPLC measures of photosynthetic pigments related to cyanobacteria (i.e., coherence between two pigment inferences). Our study builds upon Favot et al (2020), showing coherence between molecular and novel pigment inferences, thus offering further evidence that VNIRS offers a rapid and costeffective alternative for monitoring long-term cyanobacterial trends.…”
Section: Discussionmentioning
confidence: 99%
“…The sediment increments were analyzed for trends in spectrally inferred chlorophyll-a (Michelutti et al 2010, Michelutti andSmol 2016) and cyanobacteria (Favot et al 2020). A small amount of the freeze-dried sediment from each sediment increment was passed through a 125 µm sieve, placed into glass scintillation vials, and analyzed for spectral absorbance in the range of 400 -2500 nm using a FOSS NIR System Model 6500 Rapid Content Analyzer (FOSS, Hilleroed, Denmark).…”
Section: Pigment Analysismentioning
confidence: 99%
“…A small amount of the freeze-dried sediment from each sediment increment was passed through a 125 µm sieve, placed into glass scintillation vials, and analyzed for spectral absorbance in the range of 400 -2500 nm using a FOSS NIR System Model 6500 Rapid Content Analyzer (FOSS, Hilleroed, Denmark). Absorbance in the range of 650 and 700 nm was used to quantify chlorophyll-a (Michelutti et al 2010), and the range of 400 -2500 nm with 650 -700 nm removed, was used to quantify cyanobacteria (Favot et al 2020). To compare changes in these two variables that are not equal either in mass or in the potential range of physiological quota, the data was transformed into standardized anomalies (Z-scores) (Keil 2019).…”
Section: Pigment Analysismentioning
confidence: 99%
“…However, the use of spectral techniques to elucidate long-term trends in cyanobacteria requires further consideration since the diagnostic carotenoids are present in multiple taxonomic groups (Sanger 1988;Leavitt and Hodgson 2001) and reflect at close wavelengths on the electromagnetic spectrum (Favot et al 2020). In addition, molecular tools are increasingly being used to examine the historical prevalence of cyanobacteria and toxin-producing genes (Rinta-Kanto et al 2005;Domaizon et al 2013;Pal et al 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Further, the taxonomic specificity of the primers used to amplify the genetic marker region can misconstrue results if inadequately applied (Willerslev and Cooper 2005;Anderson-Carpenter et al 2011;Pal et al 2015). Combining trends in phytoplankton photosynthetic pigments with molecular tools is a useful approach to reconstruct the historical presence of cyanobacteria, as it cross-validates and reveals inconsistencies in emerging methodologies (Favot et al 2020) and offers the potential of identifying phytoplankton to finer taxonomic levels (Domaizon et al 2013;Pal et al 2015;Pilon et al 2019).…”
Meromictic lakes provide a physically stable environment in which proxies for potentially harmful cyanobacteria are exceptionally well-preserved in the sediments. In Sunfish Lake, a meromictic lake that has recently become the focus of citizen concern due to the apparent rise in cyanobacteria blooms, we used a multi-proxy paleolimnological approach pairing novel spectral (i.e., VNIRS) and molecular (i.e., qPCR) assessment tools to explore long-term cyanobacteria trends. We hypothesized that climate change over the past 50 years altered the Sunfish Lake environment to favour cyanobacteria dominance, resulting in an increased incidence of bloom events. Spectral and genetic results aligned to reveal an unprecedented abundance of cyanobacteria in modern times and coincided with warmer and wetter climatic conditions in the region. Our findings offer evidence for climate-driven shifts in cyanobacteria abundance and suggest that a shift towards warmer and wetter conditions supports the rise of cyanobacteria in lakes.
“…VNIRS is an emerging technique used to examine long-term cyanobacteria trends based on absorption spectra, and Favot et al (2020) has demonstrated general agreement between cyanobacterial VNIRS and HPLC measures of photosynthetic pigments related to cyanobacteria (i.e., coherence between two pigment inferences). Our study builds upon Favot et al (2020), showing coherence between molecular and novel pigment inferences, thus offering further evidence that VNIRS offers a rapid and costeffective alternative for monitoring long-term cyanobacterial trends.…”
Section: Discussionmentioning
confidence: 99%
“…The sediment increments were analyzed for trends in spectrally inferred chlorophyll-a (Michelutti et al 2010, Michelutti andSmol 2016) and cyanobacteria (Favot et al 2020). A small amount of the freeze-dried sediment from each sediment increment was passed through a 125 µm sieve, placed into glass scintillation vials, and analyzed for spectral absorbance in the range of 400 -2500 nm using a FOSS NIR System Model 6500 Rapid Content Analyzer (FOSS, Hilleroed, Denmark).…”
Section: Pigment Analysismentioning
confidence: 99%
“…A small amount of the freeze-dried sediment from each sediment increment was passed through a 125 µm sieve, placed into glass scintillation vials, and analyzed for spectral absorbance in the range of 400 -2500 nm using a FOSS NIR System Model 6500 Rapid Content Analyzer (FOSS, Hilleroed, Denmark). Absorbance in the range of 650 and 700 nm was used to quantify chlorophyll-a (Michelutti et al 2010), and the range of 400 -2500 nm with 650 -700 nm removed, was used to quantify cyanobacteria (Favot et al 2020). To compare changes in these two variables that are not equal either in mass or in the potential range of physiological quota, the data was transformed into standardized anomalies (Z-scores) (Keil 2019).…”
Section: Pigment Analysismentioning
confidence: 99%
“…However, the use of spectral techniques to elucidate long-term trends in cyanobacteria requires further consideration since the diagnostic carotenoids are present in multiple taxonomic groups (Sanger 1988;Leavitt and Hodgson 2001) and reflect at close wavelengths on the electromagnetic spectrum (Favot et al 2020). In addition, molecular tools are increasingly being used to examine the historical prevalence of cyanobacteria and toxin-producing genes (Rinta-Kanto et al 2005;Domaizon et al 2013;Pal et al 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Further, the taxonomic specificity of the primers used to amplify the genetic marker region can misconstrue results if inadequately applied (Willerslev and Cooper 2005;Anderson-Carpenter et al 2011;Pal et al 2015). Combining trends in phytoplankton photosynthetic pigments with molecular tools is a useful approach to reconstruct the historical presence of cyanobacteria, as it cross-validates and reveals inconsistencies in emerging methodologies (Favot et al 2020) and offers the potential of identifying phytoplankton to finer taxonomic levels (Domaizon et al 2013;Pal et al 2015;Pilon et al 2019).…”
Meromictic lakes provide a physically stable environment in which proxies for potentially harmful cyanobacteria are exceptionally well-preserved in the sediments. In Sunfish Lake, a meromictic lake that has recently become the focus of citizen concern due to the apparent rise in cyanobacteria blooms, we used a multi-proxy paleolimnological approach pairing novel spectral (i.e., VNIRS) and molecular (i.e., qPCR) assessment tools to explore long-term cyanobacteria trends. We hypothesized that climate change over the past 50 years altered the Sunfish Lake environment to favour cyanobacteria dominance, resulting in an increased incidence of bloom events. Spectral and genetic results aligned to reveal an unprecedented abundance of cyanobacteria in modern times and coincided with warmer and wetter climatic conditions in the region. Our findings offer evidence for climate-driven shifts in cyanobacteria abundance and suggest that a shift towards warmer and wetter conditions supports the rise of cyanobacteria in lakes.
The Anthropocene has driven a transformative era where human activities exert unprecedented influence on Earth's biosphere. Consequently, synanthropic organisms, adept at thriving in human‐modified environments, have emerged. While well studied in terrestrial ecosystems, the presence and ecological importance of synanthropic species in aquatic ecosystems, specifically among cyanobacteria, are less understood. Cyanobacteria blooms, notorious for their detrimental effects on ecosystems and human health, are increasing in frequency and intensity globally. In this perspective, we explore the evidence supporting this rise of cyanobacteria blooms, emphasizing the roles of human‐induced eutrophication and climate change on select cyanobacteria genera. Cyanobacteria are not a monolith, with certain genera showing an observable increase within anthropogenically modified environments. We propose the establishment of a new sub‐branch of phycology that explicitly investigates the ecology and physiology of synanthropic cyanobacteria. Understanding the intricate interactions between synanthropic species and human populations is imperative for managing human‐altered ecosystems and conserving freshwater resources, particularly in the face of increasing global water insecurity.Practitioner Points
The rise in cyanobacteria blooms is driven by a small subset of human‐adapted genera—synanthropic cyanobacteria.
Research is needed to characterize synanthropic cyanobacteria, which will aid in developing tailored management approaches.
A paradigm shift from domesticating to “rewilding” landscapes and modifying behaviors to facilitate cohabitation are solutions to reducing risks.
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