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

一个生物光学模型的开发，预测浮游植物生产从现场测量的光谱反射率和色素结合有关细胞吸收和光谱量子产率（0 y）的可测试的假设。该模型的实验室测试将探讨光合吸收辐射（Qphar），量子产率（0），生产/Qphar）和初级生产率为不同大小的类和光谱组的浮游植物之间的光谱关系。该模型推导出细胞吸收光谱重建的基础上叶绿素和辅助色素浓度。吸收率的重建与直接测量的光谱比较提供了区分光合和/或光保护色素对藻类吸收的波长依赖性贡献与周围水中的细胞包装效应和非藻类物质的贡献的手段。在体内最大（0 max）和光谱（0 y）量子产率的估计误差是最重要的初级生产的准确生物光学预测。Prezelin博士将确定浮游植物光谱特性的来源和变化幅度，这些特性决定了量子产额。结果将提供不同大小和光谱多样的浮游植物如何利用辐射能的见解，影响水柱光学特性的光谱特性，并调节光合作用和光抑制率。结果将改善目前和未来的现场应用，这种和类似的生物光学模型，旨在检查和预测海洋环境中初级生产力的时间/空间变异。

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.