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首页> 外文期刊>Lakes & Reservoirs >Discriminating four temperate lakes using phytoplankton absorption spectra
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Discriminating four temperate lakes using phytoplankton absorption spectra

机译：用浮游植物吸收光谱区分四个温带湖泊

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摘要

Photosynthetic algal particles are integral to the ecology and optical quality of lake water. Their absorption properties (photopigments, often >20 per species) are modified in response to drivers that affect the intensity and spectral distribution of incident solar energy, including the plankton itself, water, and chromophoric dissolved and suspended particulate matter. The present study was based on the hypothesis that this complex interaction imparts a distinguishing optical signature in lakes. A multivariate discriminant model was applied to in situ phytoplankton spectra from four temperate lakes of different trophy to test this hypothesis. The analysis identified a small set of wavelengths with significant discriminatory power that permitted near-perfect lake classification solely on the basis of the aggregate spectral features in the absorption coefficient of phytoplankton. Furthermore, weighting the sample spectra by the corresponding standard deviation increased model robustness considerably, as shown in both unsupervised and supervised classification. Also presented are additional multivariate techniques that allow for the visualization of the data structure to help explain contributing factors. The results support the possibility of utilizing the optical properties of the phytoplankton to monitor ecological change in lakes.
机译：光合藻类颗粒是湖泊水的生态和光学质量不可或缺的组成部分。响应于影响入射太阳能的强度和光谱分布的驱动因素（包括浮游生物本身，水以及发色团溶解和悬浮的颗粒物质），对它们的吸收特性（光色素，通常每个物种> 20）进行了修改。本研究基于以下假设：这种复杂的相互作用在湖泊中赋予了独特的光学特征。将多元判别模型应用于来自四个不同奖杯的温带湖泊的原位浮游植物光谱，以检验该假设。分析确定了一小套具有明显区分能力的波长，仅根据浮游植物吸收系数中的总光谱特征，就可以对湖泊进行近乎完美的分类。此外，通过相应的标准偏差对样品光谱进行加权，可以显着提高模型的鲁棒性，如无监督分类和监督分类所示。还介绍了其他多变量技术，这些技术可实现数据结构的可视化，以帮助解释影响因素。结果支持利用浮游植物的光学特性监测湖泊生态变化的可能性。

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