Algal Pigment Systems

Jeffrey, S. W.

doi:10.1007/978-1-4684-3890-1_3

Cited by 95 publications

(26 citation statements)

References 85 publications

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“…10b. Fucoxanthin is the principal marker of diatoms (Jeffrey, 1980) even if it was also present in primnesyophytes and chrysophytes (Jeffrey and Vesk, 1997). Diatoms are known as opportunistic species (Fogg, 1991) which take advantage of the newly available nutriments after winter mixing.…”

Section: Consequences On Phytoplankton Biomassmentioning

confidence: 99%

Hydrological changes in the Ligurian Sea (NW Mediterranean, DYFAMED site) during 1995–2007 and biogeochemical consequences

2010

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Section: Consequences On Phytoplankton Biomassmentioning

confidence: 99%

Hydrological changes in the Ligurian Sea (NW Mediterranean, DYFAMED site) during 1995–2007 and biogeochemical consequences

2010

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“…comm.). The absorbance spectra from these discolored waters appear to differ only slightly from other dinoflagellate cultures (Jeffrey 1980). On 28 October 1983, major fishkills due to red tide along the west Florida shelf prompted a helicopter survey of the extent of the bloom by the U.S. Coast Guard and scientists from the Florida Department of Natural Resources and the University of South Florida.…”

mentioning

confidence: 99%

A remote‐sensing reflectance model of a red‐tide dinoflagellate off west Florida1

Carder

Steward

1985

Limnology & Oceanography

187

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A mathematical model that simulates the spectral curves of remote-sensing reflectance of blooms of the red-tide dinoflagellate Ptychodiscus brevis is developed. The model is compared to measurements obtained from a low-flying helicopter for P. brevis populations with chlorophyll-like pigment concentrations from 7 to 77 mg m-3 found in the case 2 waters along the west Florida shelf in October 1983.The model simulates the effects of backscattering from water, phytoplankton, and detritus, and the effects of absorption due to water, phytoplankton, detritus, and yellow dissolved matter ("Gelbstoff") for case 1 and case 2 waters. It can be easily modified to simulate the spectral reflectance of phytoplankton from other pigment color groups. Matching the model spectral curves to measured remote-sensing reflectance curves provides accurate estimates of chlorophyll a plus pheophytin a and also estimates of Gelbstoff and detritus concentrations. Comparison of remote-sensing reflectance data to model reflectance data allows calculation of the quantum efficiency of fluorescence for a given phytoplankton population, which provides a remote measurement of a factor that has been found to increase with the nutrient stress of the population.Most algorithms used extensively in the remote sensing of chlorophyll a plus the associated pheophytin a pigments (henceforth referred to as chlorophyll a) are typically of the spectral ratio type, which are considered valid only for case 1 waters (those for which phytoplankton and their derivative products play a dominant role). Such algorithms are not analytic in nature, and the ratioing process tends to camouflage or merge several distinct effects (see Gordon and Morel 1983).Our approach here is to provide an analytic model describing how various seawater constituents affect remote-sensing reflectance measurements. By matching the model values to the measured values of remotesensing reflectance, we provide estimates of Chl a, Gelbstoff, and detritus concentrations in a largely case 2 environment near the west Florida coast during a red-tide bloom.

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“…Fuco and HF are used as chemotaxonomic tools to Ž . identify diatoms Jeffrey, 1980;Claustre et al, 1994 Ž and prymnesiophytes Gieskes and Kraay, 1986;Di-. Tullio and Smith, 1995 , respectively.…”

Section: Methodsmentioning

confidence: 99%

Nutrient depletions in the Ross Sea and their relation with pigment stocks

Goeyens

Elskens

Catalano³

et al. 2000

Journal of Marine Systems

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The present article depicts a first attempt to relate the governing nutrient uptake regime and phytopigment signature of the Ross Sea. Based on nutrient and phytopigment data obtained during two cruises in the Ross Sea, two distinct groups Ž . were recognised. The first one was characterised by moderate nutrient nitrate and silicic acid depletions in combination with relatively high diatom and Phaeocystis abundance. The second group showed very low nutrient depletions and very poor diatom abundance. Average depth specific nitrate depletions were 8.1 and 1.1 mM and average silicic acid depletions were 21.5 and 1.3 mM, respectively. The nutrient consumption patterns did not match the conditions of silicic acid excess Ž . Ž . SEA or nitrate excess areas NEA , a clear trend being probably obscured by very poor seasonal maturity of several sampling stations.The contrast between both groups is largely explained by small differences in nitrogen uptake regime of the major phytoplankters. During early season, the diatoms meet the majority of their nitrogen requirements by nitrate uptake, with few exceptions where ammonium is the most important nitrogenous substrate. On average, their nitrate uptake capacity is lower Ž y1 than that of Phaeocystis average specific nitrate uptake rates were 0.021 and 0.036 day for diatoms and Phaeocystis, . respectively . The latter phytoplankton always shows predominance of nitrate uptake. Both groups are subject to inhibition of nitrate uptake when ammonium availability increases, and it is likely that the diatoms are more sensitive to the inhibitory effect of ammonium. q

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Algal Pigment Systems

Cited by 95 publications

References 85 publications

Hydrological changes in the Ligurian Sea (NW Mediterranean, DYFAMED site) during 1995–2007 and biogeochemical consequences

Hydrological changes in the Ligurian Sea (NW Mediterranean, DYFAMED site) during 1995–2007 and biogeochemical consequences

A remote‐sensing reflectance model of a red‐tide dinoflagellate off west Florida1

Nutrient depletions in the Ross Sea and their relation with pigment stocks

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