4.7 Article

Understanding optical absorption associated with phytoplanktonic groups in the marginal seas

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 789, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.147846

关键词

Specific absorption spectra; Gaussian model; Phytoplanktonic groups; The marginal seas; CHEMTAX

资金

  1. National Natural Science Foundation of China [41876203, 41576172]
  2. National Key Research and Development Program of China [2016YFC1400901, 2016YFC1400904]
  3. Jiangsu Six Talent Summit Project [JY-084]
  4. Qing Lan Project
  5. Open Research Fund of National Earth Observation Data Center [NODAOP2020009]
  6. Science and Technology Innovation Project for Overseas Talents in Nanjing [R2019LZ05]
  7. Natural Science Foundation of the Jiangsu Higher Education Institutions of China [20KJB170028]
  8. Postgraduate Research & Practice Innovation Program of Jiangsu Province [KYCX20_0929]

向作者/读者索取更多资源

The study developed a Gaussian model to characterize the specific absorption spectra of eight phytoplanktonic groups, showing promising results with high predictive performance. Applying the documented specific absorption spectra enabled quantification of absorption coefficients from different phytoplanktonic groups and characterization of their relative contributions to the total absorption.
Marine phytoplankton absorption plays an important role in oceanic biological productivity and ecological environmental dynamics. Understanding the optical absorption variability associated with phytoplanktonic groups still remains a challenge. In this study, samples (n - 206) were collected for the marginal seas of the northwest Pacific Ocean from six cruise surveys that covered different seasons. Using in situ parameters, including phytoplankton absorption coefficients and concentrations of the phytoplanktonic groups derived from phytoplankton pigments collected with high-performance liquid chromatography (HPLC), we developed a Gaussian model to characterize the specific absorption spectra of eight phytoplanktonic groups, including diatoms, chlorophytes, cryptophytes, cyanobacteria, prymnesiophytes, prasinophytes, dinoflagellates, and chrysophytes, without the package effect. The model was established by accurately identifying for the numbers and locations of the Gaussian peaks and their corresponding half-wave widths. The proposed model produced promising results, and a leave-one-out cross validation generated R-2 values exceeding 0.7 for the whole visible light range and above 0.85 (correspondingly MAPE <40%) for the simulated wave bands, excluding the range of 550-650 nm. Meanwhile, a comparison with several spectra observed in the lab showed a high degree of similarity, indicative of the superior performance of our model. Applying the documented specific absorption spectra to the investigated water bodies (whether water surface or profiles) enabled us to quantify the absorption coefficients from different phytoplanktonic groups and characterize their relative contributions to the total. The findings of this study support our understanding of the dynamics of phytoplankton community structure with optical data. (C) 2021 Elsevier B.V. All rights reserved.

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