Department of Earth Sciences, University of Oxford, 3 South Parks Road, Oxford OX1 3AN, UK.
Plymouth Marine Laboratory, Prospect Place, Plymouth PL1 3DH, UK.
Philos Trans A Math Phys Eng Sci. 2020 Oct 2;378(2181):20190357. doi: 10.1098/rsta.2019.0357. Epub 2020 Aug 31.
Increasing contributions of prymnesiophytes such as and to Barents Sea (BS) phytoplankton production have been suggested based on observations of phytoplankton community composition, but the scattered and discontinuous nature of these records confounds simple inference of community change or its relationship to salient environmental variables. However, provided that meaningful assessments of phytoplankton community composition can be inferred based on their optical characteristics, ocean-colour records offer a potential means to develop a synthesis between sporadic observations. Existing remote-sensing algorithms to retrieve phytoplankton functional types based on chlorophyll-a () concentration or indices of pigment packaging may, however, fail to distinguish from other blooms of phytoplankton with high pigment packaging, such as diatoms. We develop a novel algorithm to distinguish major phytoplankton functional types in the BS and apply it to the MODIS-Aqua ocean-colour record, to study changes in the composition of BS phytoplankton blooms in July, between 2002 and 2018, creating time series of the spatial distribution and intensity of coccolithophore, diatom and blooms. We confirm a north-eastward expansion in coccolithophore bloom distribution, identified in previous studies, and suggest an inferred increase in concentrations, reported by previous researchers, may be partly explained by increasing frequencies of blooms. This article is part of the theme issue 'The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning'.
基于浮游植物群落组成的观测结果，有人提出浮游植物中的颗石藻属和菱形藻属等藻类对巴伦支海浮游植物生产力的贡献不断增加，但这些记录的分散和不连续性质使得难以简单推断群落变化或其与显著环境变量的关系。然而，如果可以根据浮游植物的光学特性来推断其群落组成的有意义评估，那么海洋颜色记录提供了一种将零星观测结果综合起来的潜在手段。现有的基于叶绿素 a (Chl-a)浓度或色素包装指数的遥感算法来检索浮游植物功能类型，可能无法将与其他高色素包装的浮游植物（如硅藻）区分开来。我们开发了一种新的算法来区分巴伦支海的主要浮游植物功能类型，并将其应用于 MODIS-Aqua 海洋颜色记录，以研究 2002 年至 2018 年 7 月巴伦支海浮游植物爆发的组成变化，创建了颗石藻、硅藻和 爆发的空间分布和强度的时间序列。我们证实了前人研究中发现的颗石藻爆发分布的东北向扩展，并提出，前人研究报告的推测中 浓度的增加，可能部分解释为 爆发的频率增加。本文是主题为“变化的北极海洋：对生物群落、生物地球化学过程和生态系统功能的影响”的特刊的一部分。
