“…The chlorophyll-specific phytoplankton absorption coefficient [a * ph (λ) -the amount of light absorbed by a unit of pigment quantity at different wavelengths] provides also information on phytoplankton community structure and is regarded as a key input parameter in primary production models (Longhurst et al, 1995;Westberry et al, 2005;Arst et al, 2008).…”
“…The chlorophyll-specific phytoplankton absorption coefficient [a * ph (λ) -the amount of light absorbed by a unit of pigment quantity at different wavelengths] provides also information on phytoplankton community structure and is regarded as a key input parameter in primary production models (Longhurst et al, 1995;Westberry et al, 2005;Arst et al, 2008).…”
“…However, drawing up a fully theoretical model is rather complicated, and many different kinds of initial parameters are needed for computations. Despite the simplicity of our semi-empirical models, a comparison of measured and modeled primary production gave R 2 in the range of 0.85-0.96; p was always <0.00001 [1]. In this study, the concentrations of chlorophyll ranged mostly from 10 to 200 mg m −3 (maximum even 389 mg m −3 ) [1].…”
Section: Introductionmentioning
confidence: 84%
“…Despite the simplicity of our semi-empirical models, a comparison of measured and modeled primary production gave R 2 in the range of 0.85-0.96; p was always <0.00001 [1]. In this study, the concentrations of chlorophyll ranged mostly from 10 to 200 mg m −3 (maximum even 389 mg m −3 ) [1]. The algorithm of Bricaud et al [2] was obtained using mainly sea data where the concentration of chlorophyll was less than 25 mg m −3 .…”
Section: Introductionmentioning
confidence: 96%
“…The algorithm (and corresponding coefficients) for calculating the spectra of the specific absorption coefficient of light by phytoplankton, a 0 ph l ð Þ, was taken from Bricaud et al [2]. The detailed description of these models, including regression analysis and estimation of errors, was presented in Arst et al [1]. The initial data for calculations were: (a) incident onto the water surface solar irradiance in the photosynthetically active region between 400 and 700 nm (PAR), denoted as q PAR,z00 , (b) the concentration of chlorophyll a (C chl ), and (c) the diffuse attenuation the coefficient of light (K d ).…”
Section: Introductionmentioning
confidence: 99%
“…Two versions (spectral and integral) of a semi-empirical model for calculation of the vertical profiles of primary production in lakes were elaborated by Arst et al [1]. Quantification of these models was for 4.2 to 389 mg m −3 for chlorophyll a concentration range and 0.1 to 3 m for Secchi depth in the Estonian lakes Peipsi, Võrtsjärv, and Harku.…”
In a recent publication, we discussed and presented a semi-empirical phytoplankton primary production model. In the present paper, our main purpose is to determine how the algorithms of a primary production model change when different values of specific absorption coefficient by phytoplankton are used in the model. A new version of our earlier model was quantified for this purpose. Differences between the previous and the new models are as follows: (a) the spectra of the specific absorption coefficient of light by phytoplankton differ in the new model from those used in the previous model, and (b) the quantification of the new model brings about a change in the parameters of the algorithm for the quantum yield of carbon fixation. We compared the results of primary production profiles obtained by the new model with those measured in situ and also with the values obtained by the previous model. Due to an adequate choice of quantification parameters, both the old and new models give rather close values of phytoplankton primary production. In the present study, the computational algorithms of both models have been automated. The resulting programs calculate the temporal-spatial variability of phytoplankton primary production, providing hourly values from morning to evening, daily sums, and monthly sums. The input of a table of initial parameters and selected depths produces rapid calculations of the model's results, which are given as vertical profiles of primary production and areal values.
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