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Temperature as indicator of optical properties and community structure of marine phytoplankton: implications for remote sensing

机译:温度作为海洋浮游植物光学特性和群落结构的指标:对遥感的意义

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摘要

Using temperature as an independent variable, we were able to explain some 43 and 49% of the variance in the specific absorption coefficient of phytoplankton (a~* (λ)) at wavelengths (λ) 443 and 676 nm, respectively, for some 1187 samples collected over a broad range of oceanographic regimes. Through examination of ancillary data, we demonstrate that our results are consistent with the view that the size structure and taxonomic composition of phytoplanktonic communities are regulated by physical processes, for which temperature is often a suitable proxy. Results obtained from multiple-linear regression analysis showed that by using temperature and chlorophyll a concentration, both of which can be retrieved by remote sensing, a larger proportion of the residual variance in a~*(λ) could be explained than if chlorophyll a concentration were used alone. Furthermore, as a single independent variable, temperature could explain nearly an equal proportion of the variance of a~*(λ) as chlorophyll a. These results show clearly the potential of using satellite-derived temperature data to improve retrieval of phytoplankton biomass from remotely sensed data on ocean colour.
机译:使用温度作为自变量,我们能够解释波长分别为443和676 nm时浮游植物的比吸收系数(a〜*(λ))的大约43%和49%的变化。在广泛的海洋学领域收集的样本。通过检查辅助数据,我们证明了我们的结果与以下观点是一致的:浮游植物群落的大小结构和生物分类组成受物理过程调节,温度通常是合适的替代指标。多元线性回归分析的结果表明,通过使用温度和叶绿素a的浓度,可以通过遥感检索两者,与叶绿素a的浓度相比,可以解释a〜*(λ)中较大比例的残留方差。被单独使用。此外,温度作为一个独立变量,可以解释a〜*(λ)的变化与叶绿素a几乎相等的比例。这些结果清楚地表明了使用源自卫星的温度数据来改善海洋色彩遥感数据中浮游植物生物量的检索的潜力。

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