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Publication 2022: Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria-rich eutrophic lake
Section 1: Publication
Chegoonian, A.M., Zolfaghari, K., Leavitt, P.R., Baulch, H.M. and Duguay, C.R.
Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria-rich eutrophic lake
Limnology and Oceanography: Methods
Chegoonian, A.M., Zolfaghari, K., Leavitt, P.R., Baulch, H.M. and Duguay, C.R., 2022. Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria‐rich eutrophic lake. Limnology and Oceanography: Methods.
Section 2: Abstract
Instrumented buoys are used to monitor water quality, yet there remains a need to evaluate whether in vivo fluorometric measures of chlorophyll a (Chl a) produce accurate estimates of phytoplankton abundance. Here, 6 years (2014–2019) of in vitro measurements of Chl a by spectrophotometry were compared with coeval estimates from buoy-based fluorescence measurements in eutrophic Buffalo Pound Lake, Saskatchewan, Canada. Analysis revealed that fluorometric and in vitro estimates of Chl a differed both in terms of absolute concentration and patterns of relative change through time. Three models were developed to improve agreement between metrics of Chl a concentration, including two based on Chl a and phycocyanin (PC) fluorescence and one based on multiple linear regressions with measured environmental conditions. All models were examined in terms of two performance metrics; accuracy (lowest error) and reliability (% fit within confidence intervals). The model based on PC fluorescence was most accurate (error = 35%), whereas that using environmental factors was most reliable (89% within 3σ of mean). Models were also evaluated on their ability to produce spatial maps of Chl a using remotely sensed imagery. Here, newly developed models significantly improved system performance with a 30% decrease in Chl a errors and a twofold increase in the range of reconstructed Chl a values. Superiority of the PC model likely reflected high cyanobacterial abundance, as well as the excitation–emission wavelength configuration of fluorometers. Our findings suggest that a PC fluorometer, used alone or in combination with environmental measurements, performs better than a single-excitation-band Chl a fluorometer in estimating Chl a content in highly eutrophic waters.
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Section 4: Computed Information
T-2022-02-23-X1X1HgbuX3JvEaumWeSFeqYQg Publication 1.0