Development of a Maximum Specific Photosynthetic Rate Algorithm Based on Remote Sensing Data: a Case Study for the Atlantic Ocean

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-03-01 DOI:10.1134/s000143702307010x

A. S. Malysheva, P. V. Lobanova, G. H. Tilstone

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Abstract—

New regional empirical algorithms were developed to obtain maximum specific photosynthetic rates of phytoplankton (\(P_{m}^{B}\)) in the surface layer of the Atlantic Ocean. These algorithms were based on the dependence of \(P_{m}^{B}\) on seawater temperature. Sea Surface Temperature remote sensing data and the PANGAEA global database of photosynthesis–irradiance parameters were used to test the algorithm. In addition, the variability in \(P_{m}^{B}\), both spatially (from 60° S to 85° N) and seasonally, (2002–2013) was estimated. The highest \(P_{m}^{B}\) was obtained in December in areas of deep convection and the interaction between the Labrador Current and the Gulf Stream, while minimum values were observed in the northern and equatorial–tropical parts of the ocean during the time intervals between the phytoplankton blooms (March to September–October). In addition, existing \(P_{m}^{B}\) and \(P_{{{\text{opt}}}}^{B}\) algorithms used in primary production models, as well as the \(P_{m}^{B}\) algorithm developed using temperature and chlorophyll a data from AMT-29, which were then tested using the PANGAEA dataset. The results show that the new \(P_{m}^{B}\) algorithm developed using seawater temperature data with regionally adjusted empirical coefficients correlated best with the in situ data.

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基于遥感数据的最大特定光合率算法开发：大西洋案例研究

摘要-为获得大西洋表层浮游植物的最大特定光合速率（\(P_{m}^{B}\），开发了新的区域经验算法。这些算法基于 \(P_{m}^{B}\)对海水温度的依赖性。海面温度遥感数据和 PANGAEA 全球光合作用-辐照度参数数据库被用来测试算法。此外，还估算了空间（从南纬 60 度到北纬 85 度）和季节（2002-2013 年）上 \(P_{m}^{B}\)的变化。在深对流地区和拉布拉多洋流与墨西哥湾流的相互作用区，12 月的\(P_{m}^{B}\)值最高，而在浮游植物绽放的时间间隔内（3 月至 9-10 月），海洋北部和赤道-热带地区的\(P_{m}^{B}\)值最小。此外，使用初级生产模式中现有的 \(P_{m}^{B}\)和 \(P_{{text/{opt}}}}^{B}\)算法，以及利用 AMT-29 的温度和叶绿素 a 数据开发的 \(P_{m}^{B}\)算法，然后利用 PANGAEA 数据集进行了测试。结果表明，利用海水温度数据和经区域调整的经验系数开发的新\(P_{m}^{B}\)算法与原位数据的相关性最好。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.