“…Pigments ratios from two temperate, oligotrophic lakes, Crystal Lake and Little Rock Lake and http://lter.limnology.wisc.edu/lter_la-ke.html#table1), located in Northern Wisconsin, USA were also used. Finally, other datasets came from a meso-eutrophic reservoir, located at Esch-sur Suˆre, Grand-Duchy of Luxembourg (Thys et al, 2003), from two eutrophic reservoirs (Lake Ry Jaune and Lake Falemprise, Belgium); and from a eutrophic river, the River Meuse in its Belgian stretch (Gosselain, 1998;Viroux, 2000).…”
The majority of phytoplankton pigment studies are from marine, estuarine and oceanic waters, and commonly use estimates of the ratio between marker pigments and chlorophyll a (chl a) for calculating the contribution of phytoplankton groups to total chl a. In this study, we examined pigment ratios obtained with CHEMTAX processing of field data from a range of tropical and temperate freshwater bodies with contrasting water transparency, depth of the mixed layer, and trophic state. The pigment ratios obtained from processing data from fresh waters corresponded quite well with existing values from pure cultures, and were compared with the marine marker pigment:chl a ratio calculated with CHEMTAX using identical procedures. In deep, stratifying lakes a large variation of some pigment ratios with depth was observed, as well as seasonal variation relating to changes in water column structure. There was considerable variation of average phytoplankton pigment ratios among the freshwater bodies studied. Pigment ratios were significantly correlated to indicators of nutrient availability, to depth of the euphotic zone, or to a proxy of light availability. The substantial variation in marker pigment:chl a ratio confirms that algorithms which account for natural variation of pigments in phytoplankton groups are required for accurate assessment of phytoplankton groups based on marker pigment concentration alone.
“…Pigments ratios from two temperate, oligotrophic lakes, Crystal Lake and Little Rock Lake and http://lter.limnology.wisc.edu/lter_la-ke.html#table1), located in Northern Wisconsin, USA were also used. Finally, other datasets came from a meso-eutrophic reservoir, located at Esch-sur Suˆre, Grand-Duchy of Luxembourg (Thys et al, 2003), from two eutrophic reservoirs (Lake Ry Jaune and Lake Falemprise, Belgium); and from a eutrophic river, the River Meuse in its Belgian stretch (Gosselain, 1998;Viroux, 2000).…”
The majority of phytoplankton pigment studies are from marine, estuarine and oceanic waters, and commonly use estimates of the ratio between marker pigments and chlorophyll a (chl a) for calculating the contribution of phytoplankton groups to total chl a. In this study, we examined pigment ratios obtained with CHEMTAX processing of field data from a range of tropical and temperate freshwater bodies with contrasting water transparency, depth of the mixed layer, and trophic state. The pigment ratios obtained from processing data from fresh waters corresponded quite well with existing values from pure cultures, and were compared with the marine marker pigment:chl a ratio calculated with CHEMTAX using identical procedures. In deep, stratifying lakes a large variation of some pigment ratios with depth was observed, as well as seasonal variation relating to changes in water column structure. There was considerable variation of average phytoplankton pigment ratios among the freshwater bodies studied. Pigment ratios were significantly correlated to indicators of nutrient availability, to depth of the euphotic zone, or to a proxy of light availability. The substantial variation in marker pigment:chl a ratio confirms that algorithms which account for natural variation of pigments in phytoplankton groups are required for accurate assessment of phytoplankton groups based on marker pigment concentration alone.
“…Microalgae and bacteria are the main food source for zooplankton grazers. Grazing magnitude depends on the size of the grazer, abundance, grazing mechanisms (e.g., filtering or grasping), water temperature, food particle shape, size and availability [27][28][29][30][31]. Generally, algal biomass reduction depends on "what" and "how much" the zooplankton can ingest, and "how fast" it can reproduce.…”
“…During the past decades of aquatic food web research, a number of ecological concepts have been developed to investigate how dietary energy gets conveyed from one trophic level to the next. Such concepts include, (a) gut content analysis of freshwater copepods (Fryer, 1957), amphipods (Quigley & Vanderploeg, 1991), and fish (Grey et al, 2002), (b) pigment analysis (Thys et al, 2003), and (c) stable isotope analysis (e.g., Cabana & Rasmussen, 1996;Post, 2002;Post et al, 2007).…”
We examined trophic positions and fatty acid concentrations of riverine, lacustrine, and aquaculture diet and fish in Austrian pre-alpine aquatic ecosystems. It was hypothesized that dietary fatty acid (FA) profiles largely influence the FA composition of the salmonids Salvelinus alpinus, Salmo trutta, and Oncorhynchus mykiss. We analyzed trophic positions using stable isotopes (d 15 N) and tested for correlations with polyunsaturated fatty acid (PUFA) concentrations. Gut content analysis revealed benthos (rivers), pellets (aquaculture), and zooplankton (lakes) as the predominant diet source. Results of dorsal muscle tissues analysis showed that the omega-3 PUFA, docosahexaenoic acid (DHA; 22:6n -3), was the mostly retained PUFA in all fish of all ecosystems, yet with the highest concentrations in S. alpinus from aquaculture (mean: 20 mg DHA/g dry weight). Moreover, we found that eicosapentaenoic acid (EPA; 20:5n -3) in fish of natural habitats (rivers, lakes) was the second most abundant PUFA (3-5 mg/g DW), whereas aquaculture-raised fish had higher concentrations of the omega-6 linoleic acid (18:2n -6; 9-11 mg/g DW) than EPA. In addition, PUFA patterns showed that higher omega-3/-6 ratios in aquacultures than in both riverine and lacustrine fish. Data of this pilot field study suggest that salmonids did not seem to directly adjust their PUFA to dietary PUFA profiles in either natural habitats or aquaculture and that some alterations of PUFA are plausible. Finally, we suggest that trophic positions of these freshwater salmonids do not predict PUFA concentrations in their dorsal muscle tissues.
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