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首页> 外文期刊>Journal of limnology >Parameterization of chlorophyll-specific phytoplankton absorption coefficients for productive lake waters
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Parameterization of chlorophyll-specific phytoplankton absorption coefficients for productive lake waters

机译:产湖水叶绿素特异性浮游植物吸收系数的参数化

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We examined and parameterized chlorophyll-specific phytoplankton absorption coefficients [a(ph)(*)(lambda)] for three turbid productive Estonian lakes on the basis of bio-optical measurements in 2005-2013. A new model parameterization was created that enables to reconstruct the spectra of a(ph)(*)(lambda) for turbid productive waters with the higher reliability than previous parameterizations for ocean and coastal waters. The coefficients A(lambda) and B(lambda) of our model differ from those found in seas, coastal waters and other types of lakes. For any water type separately the increase of total chlorophyll concentration accompanied with the decrease of a(ph)(*). Our results showed significant seasonal differences between the model parameters due to diversity of the phytoplankton assemblages. This suggests that season-specific models should be developed and validated. Improving the modelling of chlorophyll-specific phytoplankton absorption spectra for hypertrophic lakes is still pending on the availability of a larger dataset, which includes simultaneous measurements of chlorophyll concentrations, phytoplankton absorption coefficients and phytoplankton species composition. Our results implied that total chlorophyll concentration is not a universal predictor of the magnitude of chlorophyll-specific phytoplankton absorption coefficient. The a(ph)(lambda) models are also likely site and season dependent. Further research is needed for quantifying the role of accessory pigments and other optical constituents as well as the cell size of dominant algal species for considering their influence on the modelling outputs.
机译:我们在2005-2013年的生物光学测量基础上,对三个混浊的爱沙尼亚湖泊进行了检定并参数化了叶绿素特异性浮游植物的吸收系数[a(ph)(*)(lambda)]。创建了一个新的模型参数化,该参数化能够以比以前的海洋和沿海水域参数化更高的可靠性重建浊度生产水的a(ph)(*)(λ)光谱。我们模型的系数A(lambda)和B(lambda)与在海洋,沿海水域和其他类型的湖泊中发现的系数不同。对于任何水类型,分别增加总叶绿素浓度并降低a(ph)(*)。我们的结果表明,由于浮游植物组成的多样性,模型参数之间存在明显的季节性差异。这表明应该开发和验证针对特定季节的模型。肥大湖泊的叶绿素特异性浮游植物吸收光谱模型的改进仍在等待更大数据集的可用性上,该数据集包括同时测量叶绿素浓度,浮游植物吸收系数和浮游植物种类组成。我们的结果表明,总叶绿素浓度不是叶绿素特异性浮游植物吸收系数大小的通用预测指标。 a(ph)(λ)模型也可能取决于位置和季节。考虑到它们对建模输出的影响,需要进一步研究来量化辅助颜料和其他光学成分的作用以及主要藻类的细胞大小。

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