Photophysiological Regulation of Spectral Quantum Yield and its Linkages to Bio-Optical Properties of Phytoplankton

开发了一个生物光学模型，通过现场测量光谱辐照度和色素，结合关于细胞吸收和光谱量子产率(0y)的可检验假设，预测浮游植物的产量。该模型的实验室测试将探索不同大小类别和光谱组浮游植物的光合作用吸收辐射(Qphar)、量子产量(Qphar)、产量/Qphar和初级生产力之间的光谱关系。该模型通过基于叶绿素和辅助色素浓度的光谱重建来获得细胞吸收。对重建的吸光度和直接测量的吸光度进行光谱比较，可以区分光合色素和/或光保护色素对藻类吸收的波长依赖贡献，以及细胞包装效应和周围水中非藻类物质的贡献。体内最大量子产额(0max)和光谱量子产额(0y)的估计误差对初级生产的准确生物光学预测具有最重要的意义。Prezelin博士将确定浮游植物光谱特性中决定量子产量的变异性的来源和大小。这些结果将为不同大小和光谱多样性的浮游植物如何利用辐射能量、影响水柱光学特性的光谱特征以及调节光合作用和光抑制的速率提供深入的见解。结果将改善这一生物光学模型和类似生物光学模型目前和未来的实地应用，这些模型旨在检查和预测海洋环境初级生产力的时间/空间变异性。

A bio-optical model was developed to predict phytoplankton production from field measurements of spectral irrdiance and pigmentation combined with testable assumptions regarding cell absorption and spectral quantum yield (0y). Laboratory testing of the model will probe the spectral relationships between photosynthetically absorbed radiation (Qphar), quantum yield )0, production/Qphar) and rates of primary produtivity for different size classes and spectral groups of phytoplankton. The model derives cell absorption from spectral reconstructions based on chlorophyll and accessory pigment concentrations. Spectral comparisons of reconstructed versus direct measurements of absorbance provide means of distinguishing the wavelength- dependent contribution of photosynthetic and/or photoprotective pigments to algal absorption from those of cell packaging effects and non-algal matter in the surrounding water. Errors in estimations of in vivo maximum (0max) and spectral (0y) quantum yield are of greatest significant to accurate bio-optical predictions of primary production. Dr. Prezelin will identify the sources and magnitude of variability in phytoplankton spectral properties which determine quantum yield. Results would provide insights into how different sized and spectrally diverse phytoplankton utilize radiant energy, influence the spectral characteristics of water-column optical properties, and regulate rates of photosynthesis and photoinhibition. Results would improve current and future field applications for this and similar bio-optical models intended to examine and predict temporal/spatial variability in primary productivity in marine environments.