The use of phytoplankton pigments for identifying and quantifying phytoplankton groups in coastal areas:testing the influence of light and nutrients on pigment/chlorophyll a ratios

Schlüter, Louise; Møhlenberg, Flemming; Havskum, Harry; Larsen, Søren E.

doi:10.3354/meps192049

Cited by 290 publications

(266 citation statements)

References 4 publications

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“…CHEMTAX optimizes group-specific carotenoid:Chl a ratios via iteration and a steepest descent algorithm to identify the minimum residual unexplained by the solution (as root mean square error) and from which, group abundances are calculated (Mackey et al 1996(Mackey et al , 1998. Because carotenoid:Chl a ratios within phytoplankton communities might be expected to vary depending upon species composition, cell physiological state, irradiance, etc., the data set was divided into annual and transect subsets, prior to independent CHEMTAX calculations (Mackey et al 1998;Schlüter et al 2000). CHEMTAX calculations are sensitive to the initial carotenoid:Chl a ratios identified for each group; as such, initial ratios were chosen from those previously derived for and/or applicable to Great Lakes phytoplankton Schlüter et al 2006).…”

Section: Biological Parametersmentioning

confidence: 99%

Late-summer phytoplankton in western Lake Erie (Laurentian Great Lakes): bloom distributions, toxicity, and environmental influences

et al. 2009

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Phytoplankton abundance and composition and the cyanotoxin, microcystin, were examined relative to environmental parameters in western Lake Erie during late-summer (2003)(2004)(2005). Spatially explicit distributions of phytoplankton occurred on an annual basis, with the greatest chlorophyll (Chl) a concentrations occurring in waters impacted by Maumee River inflows and in Sandusky Bay. Chlorophytes, bacillariophytes, and cyanobacteria contributed the majority of phylogenetic-group Chl a basin-wide in 2003, 2004, and 2005, respectively. Water clarity, pH, and specific conductance delineated patterns of group Chl a, signifying that water mass movements and mixing were primary determinants of phytoplankton accumulations and distributions. Water temperature, irradiance, and phosphorus availability delineated patterns of cyanobacterial biovolumes, suggesting that biotic processes (most likely, resource-based competition) controlled cyanobacterial abundance and composition. Intracellular microcystin concentrations corresponded to Microcystis abundance and environmental parameters indicative of conditions coincident with biomass accumulations. It appears that environmental parameters regulate microcystin indirectly, via control of cyanobacterial abundance and distribution.

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Section: Biological Parametersmentioning

confidence: 99%

Late-summer phytoplankton in western Lake Erie (Laurentian Great Lakes): bloom distributions, toxicity, and environmental influences

et al. 2009

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“…Schlüter et al (2006) demonstrated that, under controlled conditions, different temperature and light treatments had a relatively insignificant impact on the absolute values for the diagnostic pigment/Chl a ratios in 20 freshwater phytoplankton species, with the exception of a considerable variation in the zeaxanthin/Chl a and alloxanthin/Chl a ratios for cyanobacteria and cryptophytes. This may indicate that CHEMTAX could also be applicable to freshwater phytoplankton.…”

Section: Introductionmentioning

confidence: 99%

“…The application of the CHEMTAX program to pigment data from phytoplankton samples has been shown to be a useful tool in marine environments for several purposes, including medium-large scale analysis of phytoplankton class distribution in the open ocean (Schlüter et al 2000;Wright and Van der Enden 2000;Vidussi et al 2000;Higgins and Mackey 2000;Gibb et al 2001;Latasa et al 2005) and zooplankton feeding studies (Irigoien et al 2000;Guisande et al 2002). However, the application of CHEMTAX in freshwater environments has received little attention (Buchaca et al 2004;Fietz and Nicklisch 2004;Descy et al 2005;Schlüter et al 2006).…”

Section: Introductionmentioning

confidence: 99%

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2008

Limnology & Ocean Methods

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The problem using the CHEMTAX program in freshwater environments is that the few matrices of pigment ratios available have not been tested in a wide range of environments. Sixteen Amazonian, Andean, and Caribbean lakes, lagoons, and swamps were sampled over a year. The aim was to determine if it was possible to obtain a reliable matrix of input pigment ratios that may be used in freshwater habitats with different environmental conditions. There were no clear differences among regions for most of the ratios of marker pigments to Chlorophyll a (Chl a) in most of the phytoplankton groups. Only the zeaxanthin/Chl a ratio showed clear variations among areas. The estimates for the mean relative contribution of each phytoplankton group calculated for the pigment ratios obtained in each separate habitat and season were very similar to the estimates calculated using the average pigment ratio obtained for all habitats and seasons. Our study suggests that the matrix of the average pigment ratio obtained in this study can be used to estimate phytoplankton class abundances with the CHEMTAX program in freshwater habitats with different limnological conditions.

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“…Separation and analysis of chlorophyll-a (chl-a) and groupspecific marker pigments was carried out by a HPLC system from JASCO (Japan). Contribution of diatoms, dinophytes, cryptophytes, prymnesiophytes, and prasinophytes to total chl-a was estimated using the CHEMTAX software (Mackey et al, 1996) with initial pigment ratios derived from Schlüter et al (2000). See SUP.…”

Section: Discrete Measurements Of Phytoplankton Pigments and Total Sumentioning

confidence: 99%

Analysis of phytoplankton distribution and community structure in the German Bight with respect to the different size classes

Wollschläger

Wiltshire

Petersen

et al. 2015

Journal of Sea Research

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Investigation of phytoplankton biodiversity, ecology, and biogeography is crucial for understanding marine ecosystems. Research is often carried out on the basis of microscopic observations, but due to the limitations of this approach regarding detection and identification of picophytoplankton (0.2-2 μm) and nanophytoplankton (2-20 μm), these investigations are mainly focused on the microphytoplankton (20-200 μm). In the last decades, various methods based on optical and molecular biological approaches have evolved which enable a more rapid and convenient analysis of phytoplankton samples and a more detailed assessment of small phytoplankton. In this study, a selection of these methods (in situ fluorescence, flow cytometry, genetic fingerprinting, and DNA microarray) was placed in complement to light microscopy and HPLC-based pigment analysis to investigate both biomass distribution and community structure of phytoplankton. As far as possible, the size classes were analyzed separately. Investigations were carried out on six cruises in the German Bight in 2010 and 2011 to analyze both spatial and seasonal variability. Microphytoplankton was identified as the major contributor to biomass in all seasons, followed by the nanophytoplankton. Generally, biomass distribution was patchy, but the overall contribution of small phytoplankton was higher in offshore areas and also in areas exhibiting higher turbidity. Regarding temporal development of the community, differences between the small phytoplankton community and the microphytoplankton were found. The latter exhibited a seasonal pattern regarding number of taxa present, alphaand beta-diversity, and community structure, while for the nano-and especially the picophytoplankton, a general shift in the community between both years was observable without seasonality. Although the reason for this shift remains unclear, the results imply a different response of large and small phytoplankton to environmental influences.

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The use of phytoplankton pigments for identifying and quantifying phytoplankton groups in coastal areas:testing the influence of light and nutrients on pigment/chlorophyll a ratios

Cited by 290 publications

References 4 publications

Late-summer phytoplankton in western Lake Erie (Laurentian Great Lakes): bloom distributions, toxicity, and environmental influences

Late-summer phytoplankton in western Lake Erie (Laurentian Great Lakes): bloom distributions, toxicity, and environmental influences

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Analysis of phytoplankton distribution and community structure in the German Bight with respect to the different size classes

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