Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra -- Journal of Oceanology and Limnology,2019,37(5):1542-1554

	Cite this paper:
	YE Huping, ZHANG Bing, LIAO Xiaohan, LI Tongji, SHEN Qian, ZHANG Fangfang, ZHU Jianhua, LI Junsheng. Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra[J]. Journal of Oceanology and Limnology, 2019, 37(5): 1542-1554

Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra

YE Huping^1,2,3,4, ZHANG Bing², LIAO Xiaohan¹, LI Tongji³, SHEN Qian², ZHANG Fangfang², ZHU Jianhua³, LI Junsheng²

1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
3 National Ocean Technology Center, Tianjin 300112, China;
4 China-Sri Lanka Joint Research and Demonstration Center for Water Technology, Chinese Academy of Sciences, Beijing 100085, China

Abstract:

The absorption spectrum of phytoplankton is an important bio-optical parameter for ocean color hyperspectral remote sensing; its magnitude and shape can be affected considerably by pigment composition and concentration. We conducted Gaussian decomposition to the absorption spectra of phytoplankton pigment and studied the spectral components of the phytoplankton, in which the package effect was investigated using pigment concentration data and phytoplankton absorption spectra. The decomposition results were compared with the corresponding concentrations of the five main pigment groups (chlorophylls a, b, and c, photo-synthetic carotenoids (PSC), and photo-protective carotenoids (PPC)). The results indicate that the majority of residual errors in the Gaussian decomposition are <0.001 m^-1, and R² of the power regression between characteristic bands and HPLC pigment concentrations (except for chlorophyll b) was 0.65 or greater for surface water samples at autumn cruise. In addition, we determined a strong predictive capability for chlorophylls a, c, PPC, and PSC. We also tested the estimation of pigment concentrations from the empirical specific absorption coefficient of pigment composition. The empirical decomposition showed that the Ficek model was the closest to the original spectra with the smallest residual errors. The pigment decomposition results and HPLC measurements of pigment concentration are in a high consistency as the scatter plots are distributed largely near the 1:1 line in spite of prominent seasonal variations. The Woźniak model showed a better fit than the Ficek model for Chl a, and the median relative error was small. The pigment component information estimated from the phytoplankton absorption spectra can help better remote sensing of hyperspectral ocean color that related to the changes in phytoplankton communities and varieties.

Key words: phytoplankton absorption spectrum|pigment concentration|Gaussian decomposition

Received: 2018-04-28 Revised: 2018-10-29

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Articles by ZHANG Bing

Articles by LIAO Xiaohan

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Articles by SHEN Qian

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Articles by ZHU Jianhua

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References:
Allali K, Bricaud A, Claustre H. 1997. Spatial variations in the chlorophyll-specific absorption coefficients of phytoplankton and photosynthetically active pigments in the equatorial Pacific. Journal of Geophysical Research:Oceans, 102(C6):12 413-12 423, https://doi.org/10.1029/97JC00380.
Bidigare R R, Morrow J H, Kiefer D A. 1989. Derivative analysis of spectral absorption by photosynthetic pigments in the Western Sargasso Sea. Journal of Marine Research, 47(2):323-341, https://doi.org/10.1357/002224089785076325.
Bidigare R R, Ondrusek M E, Morrow J H, Kiefer D A. 1990.In-vivo absorption properties of algal pigments. In:Proceedings of SPIE 1302, Ocean Optics X. SPIE, Orlando. p.290-302, https://doi.org/10.1117/12.21451.
Bissett W P, Patch J S, Carder K L, Lee Z P. 1997. Pigment packaging and Chl a-specific absorption in high-light oceanic waters. Limnology and Oceanography, 42(2):961-968, https://doi.org/10.4319/lo.1997.42.5.0961.
Bracher A, Bouman H A, Brewin R J W, Bricaud A, Brotas V, Ciotti A M, Clementson L, Devred E, Di Cicco A, Dutkiewicz S, Hardman-Mountford N J, Hickman A E, Hieronymi M, Hirata T, Losa S N, Mouw C B, Organelli E, Raitsos D E, Uitz J, Vogt M, Wolanin A. 2017.Obtaining phytoplankton diversity from ocean color:a scientific roadmap for future development. Frontiers in Marine Science, 4:55, https://doi.org/10.3389/fmars.2017.00055.
Bracher A, Taylor M H, Taylor B, Dinter T, Röttgers R, Steinmetz F. 2015. Using empirical orthogonal functions derived from remote-sensing reflectance for the prediction of phytoplankton pigment concentrations. Ocean Science, 11(1):139-158, https://doi.org/10.5194/os-11-139-2015.
Bricaud A, Babin M, Morel A, Claustre H. 1995. Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton:analysis and parameterization. Journal of Geophysical Research:Oceans, 100(C7):13 321-13 332, https://doi.org/10.1029/95JC00463.
Bricaud A, Claustre H, Ras J, Oubelkheir K. 2004. Natural variability of phytoplanktonic absorption in oceanic waters:influence of the size structure of algal populations.Journal of Geophysical Research:Oceans, 109(C11):C11010, https://doi.org/10.1029/2004JC002419.
Bricaud A, Mejia C, Blondeau-Patissier D, Claustre H, Crepon M, Thiria S. 2007. Retrieval of pigment concentrations and size structure of algal populations from their absorption spectra using multilayered perceptrons.Applied Optics, 46(8):1 251-1 260, https://doi.org/10.1364/AO.46.001251.
Bricaud A, Morel A, Babin M, Allali K, Claustre H. 1998.Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (Case 1) waters:analysis and implications for bio-optical models. Journal of Geophysical Research:Oceans, 103(C13):31 033-31 044, https://doi.org/10.1029/98JC02712.
Chase A P, Boss E, Cetinić I, Slade W. 2017. Estimation of phytoplankton accessory pigments from hyperspectral reflectance spectra:toward a global algorithm. Journal of Geophysical Research:Oceans, 122(12):9 725-9 743, https://doi.org/10.1002/2017JC012859.
Chase A, Boss E, Zaneveld R, Bricaud A, Claustre H, Ras J, Dall'Olmo G, Westberry T K. 2013. Decomposition of in situ particulate absorption Spectra. Methods in Oceanography, 7:110-124, https://doi.org/10.1016/j.mio.2014.02.002.
Ferreira A, Ciotti Á M, Mendes C R B, Uitz J, Bricaud A. 2017. Phytoplankton light absorption and the package effect in relation to photosynthetic and photoprotective pigments in the northern tip of Antarctic Peninsula.Journal of Geophysical Research:Oceans, 122(9):7 344-7 363, https://doi.org/10.1002/2017JC012964.
Ficek D, Kaczmarek S, Stoń-Egiert J, Woźniak B, Majchrowski R, Dera J. 2004. Spectra of light absorption by phytoplankton pigments in the Baltic; conclusions to be drawn from a Gaussian analysis of empirical data.Oceanologia, 46:533-555.
French C S, Brown J S, Lawrence M C. 1972. Four universal forms of chlorophyll a. Plant Physiology, 49(3):421-429.
Hoepffner N, Sathyendranath S. 1991. Effect of pigment composition on absorption properties of phytoplankton.Marine Ecology Progress Series, 73:11-23, https://doi.org/10.3354/meps073011.
Le C F, Li Y M, Zha Y, Sun D Y. 2009. Specific absorption coefficient and the phytoplankton package effect in Lake Taihu, China. Hydrobiologia, 619(1):27-37, https://doi.org/10.1007/s10750-008-9579-6.
Lee Z P, Carder K L. 2004. Absorption spectrum of phytoplankton pigments derived from hyperspectral remote-sensing reflectance. Remote Sensing of Environment, 89(3):361-368, https://doi.org/10.1016/j.rse.2003.10.013.
Mitchell B G. 1990. Algorithms for determining the absorption coefficient for aquatic particulates using the quantitative filter technique. In:Proceedings of SPIE 1302, Ocean Optics X. SPIE, Orlando. p.137-148, https://doi.org/10.1117/12.21440.
Morel A, Bricaud A. 1981. Theoretical results concerning light absorption in a discrete medium, and application to specific absorption of phytoplankton. Deep Sea Research Part A. Oceanographic Research Papers, 28(11):1 375-1 393, https://doi.org/10.1016/0198-0149(81)90039-X.
Morel A, Prieur L. 1977. Analysis of variations in ocean color.Limnology and Oceanography, 22(4):709-722, https://doi.org/10.4319/lo.1977.22.4.0709.
Nelson N B, Prézelin B B. 1990. Chromatic light effects and physiological modeling of absorption properties of Heterocapsa pygmaea (=Glenodinium sp.). Marine Ecology Progress Series, 63:37-46, https://doi.org/10.3354/meps063037.
Pegau S, Zaneveld J R V, Mueller J L. 2003. Inherent optical property measurement concepts:physical principles and instruments. In:Mueller J L, Fargion G S, McClain C R eds. NASA/TM 2003 Ocean Optics Protocols for Satellite Ocean Color Sensor Validation-Inherent Optical Properties:Instruments, Characterization, Field Measurements and Data Analysis Protocols. NASA, Washington, DC. p.1-64.
Sathyendranath S, Lazzara L, Prieur L. 1987. Variations in the spectral values of specific absorption of phytoplankton.Limnology and Oceanography, 32(2):403-415, https://doi.org/10.4319/lo.1987.32.2.0403.
Stuart V, Sathyendranath S, Platt T, Maass H, Irwin B D. 1998.Pigments and species composition of natural phytoplankton populations:effect on the absorption spectra. Journal of Plankton Research, 20(2):187-217, https://doi.org/10.1093/plankt/20.2.187.
Van De Hulst H C. 1957. Light Scattering by Small Particles.The John Wiley & Sons Inc., New York. p.287.
Vijayan A K, Somayajula S A. 2014. Effect of accessory pigment composition on the absorption characteristics of dinoflagellate bloom in a coastal embayment.Oceanologia, 56(1):107-124, https://doi.org/10.5697/oc.56-1.107.
Wang G Q, Lee Z P, Mouw C B. 2018. Concentrations of multiple phytoplankton pigments in the global oceans obtained from satellite ocean color measurements with MERIS. Applied Sciences, 8(12):2 678, https://doi.org/10.3390/app8122678.
Werdell P J, Roesler C S, Goes J I. 2014. Discrimination of phytoplankton functional groups using an ocean reflectance inversion model. Applied Optics, 53(22):4 833-4 849, https://doi.org/10.1364/AO.53.004833
Woźniak B, Dera J, Ficek D, Majchrowski R, Kaczmarek S, Ostrowska M, Koblentz-Mishke O I. 2000. Model of the in vivo spectral absorption of algal pigments. Part 1:mathematical apparatus. Oceanologia, 42(2):177-190.
Zhou W, Cao W X, Wang G F, Liang S J, Zhao J, Sun Z H. 2010. Retrieval of pigment concentrations from the absorption spectra of phytoplankton by multilayered perceptrons. Journal of Tropical Oceanography, 29(2):46-51. (in Chinese with English abstract)
Zhu J H, Zhou H L, Han B, Li T J. 2017. Measurement and feature analysis of absorption spectra of four algal species.Chinese Journal of Oceanology and Limnology, 35(2):350-359, https://doi.org/10.1007/s00343-016-5321-9.
Zhu J H. 2003a. The key technique for measuring spectral absorption coefficient of Case Ⅱ water with spectrophotometer. Ocean Technology, 22(1):34-39. (in Chinese with English abstract)
Zhu J H. 2003b. Measurement of the ocean phytoplankton pigments concentration by HPLC. Journal of Ocean Technology, 22(1):14-19. (in Chinese with English abstract)