@article{Chegoonian-2022-Improvement,
title = "Improvement of field fluorometry estimates of chlorophyll {\textless}i{\textgreater}a{\textless}/i{\textgreater} concentration in a cyanobacteria‐rich eutrophic lake",
author = "Chegoonian, Amir M. and
Zolfaghari, Kiana and
Leavitt, Peter R. and
Baulch, Helen M. and
Duguay, Claude R.",
journal = "Limnology and Oceanography: Methods, Volume 20, Issue 4",
volume = "20",
number = "4",
year = "2022",
publisher = "Wiley",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G22-23001",
doi = "10.1002/lom3.10480",
pages = "193--209",
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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<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.</abstract>
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%0 Journal Article
%T Improvement of field fluorometry estimates of chlorophyll \textlessi\textgreatera\textless/i\textgreater concentration in a cyanobacteria‐rich eutrophic lake
%A Chegoonian, Amir M.
%A Zolfaghari, Kiana
%A Leavitt, Peter R.
%A Baulch, Helen M.
%A Duguay, Claude R.
%J Limnology and Oceanography: Methods, Volume 20, Issue 4
%D 2022
%V 20
%N 4
%I Wiley
%F Chegoonian-2022-Improvement
%X 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.
%R 10.1002/lom3.10480
%U https://gwf-uwaterloo.github.io/gwf-publications/G22-23001
%U https://doi.org/10.1002/lom3.10480
%P 193-209
Markdown (Informal)
[Improvement of field fluorometry estimates of chlorophyll <i>a</i> concentration in a cyanobacteria‐rich eutrophic lake](https://gwf-uwaterloo.github.io/gwf-publications/G22-23001) (Chegoonian et al., GWF 2022)
ACL
- Amir M. Chegoonian, Kiana Zolfaghari, Peter R. Leavitt, Helen M. Baulch, and Claude R. Duguay. 2022. Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria‐rich eutrophic lake. Limnology and Oceanography: Methods, Volume 20, Issue 4, 20(4):193–209.
