Evaluation of FluoroProbe® performance for the phytoplankton-based assessment of the ecological status of Mediterranean coastal lagoons

Garrido, Marie; Cecchi, Philippe; Bakhouche, Béatrice; Torre, F. Jason; Pasqualini, Vanina

doi:10.1007/s10661-019-7349-8

Cited by 17 publications

(20 citation statements)

References 86 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Variations in phytoplankton type and growth phase, community composition, and water characteristics can also cause substantial deviation of factory

a_{Chl}^{*}

and

Φ_{F}

values from those independently measured, resulting in poor Chl a retrieval (Choo et al 2018; Bertone et al 2019; Garrido et al 2019). For instance, although in vivo fluorometry accurately assessed relative taxonomic composition in marine assemblages, phytoplankton biomass was overestimated by ∼ 1.2–3.4‐fold (Richardson et al 2010).…”

mentioning

confidence: 99%

Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria‐rich eutrophic lake

Chegoonian

Zolfaghari

Leavitt

et al. 2022

Limnology & Ocean Methods

View full text Add to dashboard Cite

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 (2014Here, 6 years ( -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.

show abstract

“…Variations in phytoplankton type and growth phase, community composition, and water characteristics can also cause substantial deviation of factory

a_{Chl}^{*}

and

Φ_{F}

mentioning

confidence: 99%

Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria‐rich eutrophic lake

Chegoonian

Zolfaghari

Leavitt

et al. 2022

Limnology & Ocean Methods

View full text Add to dashboard Cite

show abstract

“…The algal composition of epilithon were obtained by an in situ fluorometer (BenthoTorch, bbe Moldaenke, Schwentinental, Germany). The BenthoTorch compares reasonably well with lab-derived conventional spectrophotometric/HPLC-based methods [33,[36][37][38]. These collected pigment/fluorometric measurements for each algal group were converted to organic carbon and then to an organic biomass using the known relationships among Chl-a to organic carbon (1:30) and organic carbon to organic biomass (1:2) (T. Riis, unpublished data).…”

Section: Epiphyton and Epilithon Structure Characterizationmentioning

confidence: 94%

Epiphyton in Agricultural Streams: Structural Control and Comparison to Epilithon

Wijewardene

Giménez-Grau

Holmboe

et al. 2021

Water

View full text Add to dashboard Cite

Stream biofilms play an important role in the structure, functioning, and integrity of agricultural streams. In many lowland streams, macrophyte vegetation is abundant and functions as an important substrate for biofilm (epiphyton) in addition to the gravel and stone substrate for epilithon on the stream bed. We expect that reach-scale habitat conditions in streams (e.g., nutrient availability, hydraulic conditions) affect the epiphyton and epilithon biomass and composition, and that this effect will be substrate-specific (macrophytes and stones). The objectives of our study were (i) to describe concurrent changes in epiphyton and epilithon biomass and composition over a year in agricultural streams, and (ii) to determine the substrate specific reach-scale habitat drivers for the epiphyton and epilithon structure. We monitored epiphyton and epilithon biofilm biomass and composition at three-week intervals and reach-scale environmental conditions daily during a year for two agricultural steams. The results showed that epiphyton and epilithon communities differed in biomass, having high substrate specific biomass in epilithon compared to epiphyton. Epiphyton was mainly composed of diatom and green algae, while cyanobacteria were more important in epilithon, and the diatom species composition varied between the two biofilm types. Epiphyton structural properties were less influenced by reach-scale hydrology and nutrient availability compared to epilithon. The overall explanatory power of the measured environmental variables was low, probably due to micro-scale habitat effects and interactive processes within stream biofilms. Knowledge of biofilm control in agricultural streams is important in order to improve management strategies, and future studies should improve the understanding of micro-scale habitat conditions, interactive relationships within biofilms and between the biofilm and the substrates.

show abstract

“…Счетчики частиц на основе возмущения электрического поля стали применяться для подсчета числа клеток водорослей с 60-х годов прошлого века (Reynolds et al, 2010 (Hrycik et al, 2019). Многоканальные флуориметры в целом достаточно точно оценивают биомассу фитопланктона (Kring et al, 2014;Garrido et al, 2019). Однако при использовании этих приборов возможны и ошибки, связанные с вариацией концентрации пигментов в клетках под действием условий окружающей среды или образцами, где в больших количествах присутствуют крупные, формирующие колонии цианобактерии (Catherine et al, 2012).…”

Section: Introductionunclassified

“…Однако для многих задач водной экологии ключевыми являются чувствительность метода к изменению численности водорослей в среде и способность качественно оценивать изменения в видовом составе. Такая информация важна при исследовании трофических взаимодействий в паре фито-и зоопланктон (Knisely, Geller, 1986), при создании систем предупреждения о нежелательных массовых развитиях фитопланктона или отдельных видов (например, представителей цианобактерий) (Garrido et al, 2019…”

Section: Introductionunclassified

Comparison of Rapid Methods Used to Determine the Concentration, Size Structure and Species Composition of Algae

Zadereev

Drobotov

Lopatina

et al. 2021

Journal of Siberian Federal University. Biology

View full text Add to dashboard Cite

Traditionally, the abundance, cell size distribution and species identification of algae are determined by microscopic counts. In recent years, various rapid methods have been developed for routine algal studies. However, each of these methods has its drawbacks. It is important for aquatic ecologists to understand the advantages, disadvantages, and limitations of these methods. We compared the sensitivity of three rapid methods (multichannel fluorimeter FluoroProbe, imaging flow cytometer FlowCam, and CASY particle counter) to changes in cell abundance of three algae species (Chlorella vulgaris Beyerinck, Arthrospira platensis Gomont, and Nostoc sp.). We also assessed the ability of rapid methods to estimate the cell abundance of different species in the mixed samples. All instruments showed high sensitivity to changes in the cell abundance of different algae species and a mixture of these species. Any one of these methods, once calibrated, can be reliably used to estimate the abundance of a single-species/laboratory culture of microalgae. At the same time, FlowCam, without preliminary calibration, recorded the cell abundance closest to microscopic counts. When analysing a mixture of three microalgae differing in their cell sizes and spectral characteristics, FluoroProbe showed the highest accuracy in assessing the proportions of species in the mixture and FlowCam – in assessing their abundance. To study mixtures of algae and/or natural phytoplankton communities, it is advisable to use jointly a flow cytometer and a multichannel fluorimeter. The images of algae saved by the flow cytometer, if necessary, can be used to identify them, with a certain accuracy, to the species. Information on cells size and spectral characteristics obtained by two methods will be detailed enough to perform such common tasks as studying trophic interactions between phyto- and zooplankton or creating warning systems to inform of unwanted blooms of phytoplankton and their individual groups (for example, cyanobacteria)

show abstract

Evaluation of FluoroProbe® performance for the phytoplankton-based assessment of the ecological status of Mediterranean coastal lagoons

Cited by 17 publications

References 86 publications

Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria‐rich eutrophic lake

Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria‐rich eutrophic lake

Epiphyton in Agricultural Streams: Structural Control and Comparison to Epilithon

Comparison of Rapid Methods Used to Determine the Concentration, Size Structure and Species Composition of Algae

Contact Info

Product

Resources

About