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

Silva, Talita; Giani, Alessandra; Figueredo, Cleber Cunha; Viana, Pedro Lage; Khac, Viet Tran; Lemaire, Bruno J.; Tassin, Bruno; Nascimento, Nilo; Vinçon‐Leite, Brigitte

doi:10.1016/j.ecoleng.2016.06.037

Cited by 12 publications

(16 citation statements)

References 31 publications

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“…Phytoplankton taxonomy-based tools are already available, but they require important laboratory efforts and a solid expertise, particularly for the correct identification of organisms. Alternative approaches that exploit the fluorescence properties of algae, such as the spectrofluorometer Fluoroprobe®, are now routinely used in freshwater ecosystems Švanys et al 2014;Patidar et al 2015;Maloufi et al 2016;Morgan-Kiss et al 2016;Poxleitner et al 2016;Silva et al 2016;Wang et al 2016;Blottière et al 2017;Cyr 2017;Karpowicz and Ejsmont-Karabin 2017;Giling et al 2017;Teufel et al 2017). However, the performances of this instrument have never been formally assessed in Mediterranean coastal ecosystems, where both environmental conditions and the composition of phytoplankton assemblages are hugely variable and different from those of freshwater systems.…”

Section: Discussionmentioning

confidence: 99%

“…FluoroProbe® contains five light-emitting diodes (450, 525, 570, 590, and 610 nm) for excitation of the accessory pigments associated with the photosystem-II antenna system of phytoplankton and one 370 nm diode for excitation and subsequent subtraction of the fluorescence from chromophoric dissolved organic matter (CDOM). This technology is now widely applied in very different environments by scientists and freshwater resource managers for lab and in situ studies of phytoplankton communities (Rolland et al 2010;Catherine et al 2012Catherine et al , 2016Švanys et al 2014;Patidar et al 2015;Maloufi et al 2016;Morgan-Kiss et al 2016;Poxleitner et al 2016;Silva et al 2016;Wang et al 2016;Blottière et al 2017;Cyr 2017;Karpowicz and Ejsmont-Karabin 2017;Giling et al 2017;Teufel et al 2017). FluoroProbe® main advantage is the immediacy of the performed measurements, although it does not give the same level of taxonomic precision as microscopybased methods, and may significantly underestimate the biomass when phytoplankton communities are very dense (i.e., chlorophyll a > 250 μg L −1 , Wang et al 2016), or in samples with very low biomasses (Bradie et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the relationships between fluorescence, chlorophyll a value, and the proportion of the different phytoplankton groups could be disturbed by strong variability linked to the phytoplankton community structure, environmental conditions, physiological status, quenching, and irradiance history of individual algal cells, making the conversion to phytoplankton biomass sometimes imprecise MacIntyre et al 2010;Catherine et al 2012;Escoffier et al 2015;Blottière et al 2017). The quality of the provided estimates is also strongly dependent on the instrument calibration (factory or home-made settings), which is generally performed using laboratory-grown phytoplankton strains that might not exactly reflect the environmental conditions of natural samples (Harrison et al 2016;Silva et al 2016). Nevertheless, MacIntyre et al (2010 reported that the relationships between fluorescence intensity and chlorophyll a are robust when the fluorescence variation range is large enough, and when there is qualitative agreement between the phytoplankton classes defined by their spectral fluorescence signatures and by other analytical methods.…”

Section: Introductionmentioning

confidence: 99%

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

Garrido

Cecchi

Bakhouche

et al. 2019

Environ Monit Assess

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The European Water Framework Directive and several other legislations worldwide have selected phytoplankton for monitoring the ecological status of surface waters. This assessment is a complicated task in coastal lagoons due to their intrinsic variability, prompting moves to use real-time measurements. Here, we tested the ability of the submersible spectrofluorometer FluoroProbe® to accurately estimate the phytoplankton biomass and to efficiently discriminate spectral groups in Mediterranean coastal lagoons, by using sub-surface water samples (n = 107) collected at Biguglia lagoon (Corsica) in different environmental situations (salinity and trophic state) from March 2012 to December 2014. We compared the estimates of biomass and phytoplankton group composition obtained with the FluoroProbe® (in situ and lab measurements) with the spectrofluorimetrically measured biomass and HPLC-derived quantifications of pigment concentrations. FluoroProbe® provided good estimates of the total phytoplankton biomass (particularly, the lab measurements). The FluoroProbe® data were significantly correlated with the HPLC results, except for the in situ measurements of very weak concentrations of blue-green and red algae. Our findings indicate that factory-calibrated FluoroProbe® is an efficient and easy-to-use real-time phytoplankton monitoring tool in coastal lagoons, especially as an early warning system for the detection of potentially harmful algal blooms. Practical instructions dedicated to non-specialist field operators are provided. A simple and efficient method for discarding in situ measurement outliers is also proposed.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Garrido

Cecchi

Bakhouche

et al. 2019

Environ Monit Assess

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“…Monitoring of vegetation dynamics is mainly based on vegetation indices (VIs). The relationship between in situ data and VIs has been described and confirmed in many studies (Dörnhöfer et al, 2018;Silva et al, 2016;Yadav et al, 2017). Due to the fact that values of spectral indices provide current information about surface area, they are widely used for environmental, agricultural, economic and security purposes.…”

Section: Introductionmentioning

confidence: 67%

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Jaskuła¹,

Sojka²

2019

ASP.FC

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Aim of the studyThe primary objective was to assess spatio-temporal changes of the vegetation occurring in 12 reservoirs located in the Odra River basin. The analysis was made for reservoirs of different constructions, i.e. single stage, two-stage and lateral. The second purpose was to analyze possibility using remote sensing data to monitor the dynamics of the vegetation processes. Material and methodsMonitoring and mapping of spatio-temporal changes of the vegetation occurring in the reservoirs was analyzed on the basis on Sentinel-2 data. The analysis was based on the NDVI and the WAVI indices. To specify spatial changes of vegetation, the reservoirs were split into zones equals to 250 m. The statistical analysis was aimed at comparing the NDVI and the WAVI values between designated zones. In turn, Cluster analysis (CA) was used to group reservoirs into clusters on the basis of similarities between the NDVI and the WAVI values. Results and conclusionsCluster analysis (CA) showed that each reservoir is separate water body where decisive impact on degradation process could have different factor. There was observed that two-stage construction focuses degradation processes in pre-reservoir and protect water resources in the main part. Additionally, relatively new solution -lateral reservoirs seems to be alternative preventing degradation processes. Taking into account possibility of using satellite imagery, there was observed that resolutions of Sentinel-2 satellite imagery allow to monitor vegetation processes in terms of time and space. The major limitation of using remote sensing data is high cloud density, which significantly reduces the number of observations during most of the year. Jaskuła, J., . Analysis of degradation processes in reservoirs based on remote sensing data. Acta Sci. Pol., Formatio Circumiectus, 18 (2), 23-37. DOI: 24 www.formatiocircumiectus.actapol.net/pl/

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“…This paper focused on cyanobacteria dynamics that was the dominant phytoplankton group during our study period [49]. In addition to the mandatory variables of water temperature, dissolved oxygen, nitrogen, phosphorus and carbon, the DYCD model was set up to explicitly simulate cyanobacteria.…”

Section: Configuration Calibration and Validation Of The Phytoplankton Dynamics Modelmentioning

confidence: 99%

Impact of Urban Stormwater Runoff on Cyanobacteria Dynamics in A Tropical Urban Lake

Silva

Vinçon‐Leite

Lemaire

et al. 2019

Water

Self Cite

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Worldwide, eutrophication and cyanobacteria blooms in lakes and reservoirs are a great concern for water resources management. Coupling a catchment hydrological model and a lake model has been a strategy to assess the impact of land use, agricultural practices and climate change on water quality. However, research has mainly focused on large lakes, while urban reservoirs and their catchments, especially in tropical regions, are still poorly studied despite the wide range of ecosystem services they provide. An integrated modelling approach coupling the hydrological model Storm Water Management Model SWMM and the lake ecological model DYRESM-CAEDYM is proposed for Lake Pampulha (Brazil). Scenarios of increased imperviousness of the catchment and of reduction in the load of nutrients and total suspended solids (TSS) in dry weather inflow were simulated. Runoff water quality simulations presented a fair performance for TSS and ammonium (NH4+) while the dynamics of total phosphorus (TP) and nitrate (NO3−) were poorly captured. Phytoplankton dynamics in the lake were simulated with good accuracy (Normalized Mean Absolute Error, NMAE = 0.24 and r = 0.89 in calibration period; NMAE = 0.55 and r = 0.54 in validation period). The general trends of growth, decline and the magnitude of phytoplankton biomass were well represented most of the time. Scenario simulations suggest that TP reduction will decrease cyanobacteria biomass and delay its peaks as a consequence of orthophosphate (PO43−) concentration reduction in the lake surface layers. However, even decreasing TP load into Lake Pampulha by half would not be sufficient to achieve the water quality objective of a maximum concentration of 60 µg chla L−1. Increased imperviousness in the catchment will raise runoff volume, TSS, TP and NO3− loads into Lake Pampulha and promote greater cyanobacteria biomass, mainly in the beginning of the wet season, because of additional nutrient input from catchment runoff. Recovering Lake Pampulha water quality will require the improvement of the sanitation system. The lake water quality improvement will also require more sustainable and nature-based solutions for urban drainage in order to reduce non-point pollution through infiltration and retention of stormwater and to enhance natural processes, such as chemical sorption, biodegradation and phytoremediation. The integrated modelling approach here proposed can be applied for other urban reservoirs taking advantage of existing knowledge on Lake Pampulha.

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

Cited by 12 publications

References 31 publications

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

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

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Impact of Urban Stormwater Runoff on Cyanobacteria Dynamics in A Tropical Urban Lake

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