On the use of the FluoroProbe®, a phytoplankton quantification method based on fluorescence excitation spectra for large-scale surveys of lakes and reservoirs

Catherine, Arnaud; Escoffier, Nicolas; Belhocine, A.; Nasri, A.; Hamlaoui, Sahima; Yéprémian, Claude; Bernard, Cécile; Troussellier, Marc

doi:10.1016/j.watres.2011.12.056

Cited by 153 publications

(134 citation statements)

References 73 publications

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“…When deployed at water quality monitoring stations in flow-gauged rivers (particularly alongside other multi-parameter sondes ), these chlorophyll probes may provide the comprehensive data sets that are key to increasing our understanding of phytoplankton dynamics (Catherine et al, 2012;Gregor and Maršálek, 2004) and provide potential early warnings of bloom development (Ye et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data

Bowes

Loewenthal

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et al. 2016

Science of The Total Environment

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Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. AbstractRiver phytoplankton blooms can pose a serious risk to water quality and the structure and function of aquatic ecosystems. Developing a greater understanding of the physical and chemical controls on the timing, magnitude and duration of blooms is essential for the effective management of phytoplankton development. Five years of weekly water quality monitoring data along the River Thames, southernEngland were combined with hourly chlorophyll concentration (a proxy for phytoplankton biomass), flow, temperature and daily sunlight data from the mid-Thames. Weekly chlorophyll data was of insufficient temporal resolution to identify the causes of short term variations in phytoplankton biomass. However, hourly chlorophyll data enabled identification of thresholds in water temperature (between 9 and 19 o C) and flow (less than 30 m 3 s -1 ) that explained the development of phytoplankton populations. Analysis showed that periods of high phytoplankton biomass and growth rate only occurred when these flow and temperature conditions were within these thresholds, and coincided with periods of long sunshine duration, indicating multiple stressor controls. Nutrient concentrations appeared to have no impact on the timing or magnitude of phytoplankton bloom development, but severe depletion of dissolved phosphorus and silicon during periods of high phytoplankton biomass may have contributed to some bloom collapses through nutrient limitation. This study indicates that for nutrient enriched rivers such as the Thames, manipulating residence time (through removing impoundments) and light / temperature (by increasing riparian tree shading) may offer more realistic solutions than reducing phosphorus concentrations for controlling excessive phytoplankton biomass.

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Section: Introductionmentioning

confidence: 99%

Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data

Bowes

Loewenthal

Read

et al. 2016

Science of The Total Environment

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“…The ability of spectral fl uorescence to provide accurate estimates of phytoplankton biomass and composition is still under debate. An extensive data collection from samples of the Ile-de-France region, North Central France, was used to assess the ability of the bbe Moldaenke FluoroProbe to estimate phytoplankton community composition in lakes and reservoirs (Catherine et al, 2012). FluoroProbe data yields better estimates of total phytoplankton biovolume than do spectrophotometric chlorophyll a measures and that FluoroProbe data can be further corrected using the average chlorophyll a to biovolume ratio among phytoplankton groups.…”

Section: Some Examples Of Fl Uorometric Applicationmentioning

confidence: 99%

“…Eutrophication is mainly caused by high concentrations of biogens (nitrogen, phosphorus, potassium) that could be found in contaminated water bodies. Knowledge of algal species composition and their population dynamics is necessary for understanding the development of algal blooms (Catherine et al, 2012). Algae can assimilate biogens in the processes of photosynthesis and biosorption (Zabochnicka-Świątek, 2017).…”

Section: Introductionmentioning

confidence: 99%

Taxonomic classification of algae by the use of chlorophyll a fluorescence

Szymański

Dąbrowski

Zabochnicka-Świątek

et al. 2017

Przegląd Naukowy Inżynieria I Kształtowanie Środowiska

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Natural water reservoirs are very important ecosystems thus they should be under continuous monitoring and protection. In water of low quality, the algal blooms develop develops vastly. The knowledge of algal species composition is necessary for understanding this process. There are a few traditional group-specific methods of microalgae classification, but they are often labour-intense and time-consuming. Moreover, the samples must be prepared and/or collected before getting any results. Non-invasive chlorophyll fluorescence analysis offers an alternative approach and potentially allows in situ estimation of algal concentration. In this work the fluorometric methods to estimate algae content in water and to differentiate algal populations is presented.

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“…The proportions between accessory pigments and chla result in an excitation spectrum, later called "fingerprint", specific for a taxonomical phytoplankton class (Dau, 1998;Huot and Babin, 2010). The ability of such a probe, the FluoroProbe (FP-BBE FluoroProbe, Moldaenke, Germany), to estimate phytoplankton biomass and taxonomic composition has been demonstrated in different water bodies, mainly in temperate climate regions (Catherine et al, 2012;Gregor et al, 2005;Gregor and Maršálek, 2004;Rolland et al, 2010). This probe has been used to study the temporal variability in marine phytoplankton photosynthetic activity (Houliez et al, 2015), the impact of the resuspension of contaminated sediment on phytoplankton (Lafabrie et al, 2013), the influence of microscale turbulence on coastal phytoplankton (Machado et al, 2014), the relationships between toxin and cyanobacteria concentrations in lakes and reservoirs (Salmaso et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Although total chla given by FP and laboratory spectrophotometry are generally correlated, FP values are frequently underestimated and different degrees of underestimation were observed (see Catherine et al, 2012;Gregor and Maršálek, 2004;Gregor et al, 2005;Leboulanger et al, 2002). Another controversial issue is the upper measuring limit of the probe.…”

Section: Introductionmentioning

confidence: 99%

Comparison of cyanobacteria monitoring methods in a tropical reservoir by in vivo and in situ spectrofluorometry

Silva

Giani

Figueredo

et al. 2016

Ecological Engineering

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On the use of the FluoroProbe®, a phytoplankton quantification method based on fluorescence excitation spectra for large-scale surveys of lakes and reservoirs

Cited by 153 publications

References 73 publications

Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data

Identifying multiple stressor controls on phytoplankton dynamics in the River Thames (UK) using high-frequency water quality data

Taxonomic classification of algae by the use of chlorophyll a fluorescence

Comparison of cyanobacteria monitoring methods in a tropical reservoir by in vivo and in situ spectrofluorometry

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