Phytoplankton size class derived from phytoplankton absorption and chlorophyll-a concentrations in the northern South China Sea

Guoqing Wang; Wenxi Cao; Guifen Wang; Wen Zhou

doi:10.1007/s00343-013-2291-z

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Phytoplankton size class derived from phytoplankton absorption and chlorophyll-a concentrations in the northern South China Sea

OriginalPaper | Updated：2023-05-16

- Phytoplankton size class derived from phytoplankton absorption and chlorophyll-a concentrations in the northern South China Sea
- Phytoplankton size class derived from phytoplankton absorption and chlorophyll-a concentrations in the northern South China Sea
- 海洋湖沼学报（英文） 2013年31卷第4期页码：750-761
- Affiliations：
  
  1. State Key Laboratory of Tropical Oceanography South China Sea Institute of Oceanology Chinese Academy of Sciences
  2. University of Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (Nos. U0933005, 41076014, 40906021, 41176035) and the National High Technology Research and Development Program of China (863 Program) (No. 2007AA092001-02)
- DOI：10.1007/s00343-013-2291-z
  中图分类号：
- 网络首发：2013-07-10，
  
  纸质出版：2013
- Accepted：
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Phytoplankton size class derived from phytoplankton absorption and chlorophyll-a concentrations in the northern South China Sea[J]. 海洋湖沼学报（英文）, 2013,31(4):750-761.

Wang, G., Cao, W., Wang, G. et al. Phytoplankton size class derived from phytoplankton absorption and chlorophyll-a concentrations in the northern South China Sea., Chin. J. Ocean. Limnol. 31, 750–761 (2013). https://doi.org/10.1007/s00343-013-2291-z
Phytoplankton size class derived from phytoplankton absorption and chlorophyll-a concentrations in the northern South China Sea[J]. 海洋湖沼学报（英文）, 2013,31(4):750-761. DOI： 10.1007/s00343-013-2291-z.

Wang, G., Cao, W., Wang, G. et al. Phytoplankton size class derived from phytoplankton absorption and chlorophyll-a concentrations in the northern South China Sea., Chin. J. Ocean. Limnol. 31, 750–761 (2013). https://doi.org/10.1007/s00343-013-2291-z DOI：

摘要

Abstract

A previously developed model was modified to derive three phytoplankton size classes (micro-

nano-

and pico-phytoplankton) from the overall chlorophyll-a concentration

assuming that each class has a specific absorption coefficient. The modified model performed well using in-situ data from the northern South China Sea

and the results were reliable and accurate. The relative errors of the size-fractioned chlorophyll-a concentration for each size class were: micro-: 21%

nano-: 41%

pico-: 26%

and nano+pico: 23%. The model was then applied on ocean color remote sensing data to examine the distribution and variation of phytoplankton size classes in northern South China Sea on a large scale.

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Keywords

references

Aiken J, Fishwick J R, Lavender S et al. 2007. Validation of MERIS reflectance and chlorophyll during the bencal cruise October 2002: preliminary validation of new demonstration products for phytoplankton functional types and photosynthetic parameters. International Journal of Remote Sensing, 28(3–4): 497–516.

Babin M, Stramski D, Ferrari G M et al. 2003. Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe. Journal of Geophysical Research, 108(C7), http://dx.doi.org/10.1029/2001jc000882.

Bailey S W, Werdell P J. 2006. A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sensing of Environment, 102(1–2): 12–23.

Brewin R J W, Hardman-Mountford N J, Lavender S J et al. 2011. An intercomparison of bio-optical techniques for detecting dominant phytoplankton size class from satellite remote sensing. Remote Sensing of Environment, 115(2): 325–339.

Brewin R J W, Lavender S J, Hardman-Mountford N J et al. 2010a. A spectral response approach for detecting dominant phytoplankton size class from satellite remote sensing. Acta Oceanologica Sinica, 29(2): 14–32.

Brewin R J W, Sathyendranath S, Hirata T et al. 2010. A threecomponent model of phytoplankton size class for the Atlantic Ocean. Ecological Modelling, 221(11): 1 472–1 483.

Bricaud A, Babin M, Morel A et al. 1995. Variability in the chlorophyll-specifc absorption coefficients of natural phytoplankton: analysis and parameterization. Journal of Geophysical Research, 100: 13 321–13 332.

Bricaud A, Claustre H, Ras J et al. 2004. Natural variability of phytoplanktonic absorption in oceanic waters: Influence of the size structure of algal populations. Journal of Geophysical Research, 109(C11010), http://dx.doi.org/10.1029/2004JC002419.

Bricaud A, Mejia C, Biondeau-Patissier D et al. 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.

Bricaud A, Morel A, Babin M et al. 1998. Variation 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, 103(C13): 31 033–31 044.

Bricaud A, Stramski D. 1990. Spectral absorption coefficients of living phytoplankton and nonalgal biogenous matter: a comparison between the Peru upwelling area and the Sargasso Sea. Limnology and Oceanography, 35(3): 562–582.

Cai Y M, Ning X R, Liu C G. 2002. Studies on primary production and new production of the Zhujiang Estuary, China. Acta Ecologica Sinica, 24(3): 101–111. (in Chinese with English abstract)

Cao W X, Yang Y Z, Liu S et al. 2005. Spectral absorption coefficient of phytoplankton and its relation to chlorophyll a and remote sensing reflectance in coastal waters of southern China. Progress in Natural Science, 15(4): 342–350.

Cao W X, Yang Y Z, Xu X Q et al. 2003. Regional patterns of particulate spectral absorption in the Pearl River Estuary. Chinese Science Bulletin, 48(21): 23–44.

Chen B Z, Wang L, Song S Q et al. 2011. Comparisons of picophytoplankton abundance, size, and fluorescence between summer and winter in northern South China Sea. Continental Shelf Research, 31(14): 1 527–1 540.

Chen J X, Huang B Q, Liu Y et al. 2006. Phytoplankton community structure in the transects across East China Sea and northern South China Sea determined by analysis of HPLC photosynthetic pigment signatures. Advances in Earth Science, 21(7): 738–746. (in Chinese with English abstract)

Chen Y L L, Chen H Y. 2006. Seasonal dynamics of primary and new production in the northern South China Sea: the significance of river discharge and nutrient advection. Deep Sea Research Part I: Oceanographic Research Papers, 53(6): 971–986.

Ciotti A M, Bricaud A. 2006. Retrievals of a size parameter for phytoplankton and spectral light absorption by colored detrital matter from water-leaving radiances at SeaWiFS channels in a continental shelf region off Brazil. Limnology and Oceanography-Methods, 4: 237–253.

Ciotti A M, Cullen J J, Lewis M R. 2002. Assessment of the relationships between dominant cell size in natural hytoplankton communities and the spectral shape of the absorption coefficien. Limnology and Oceanography, 47: 404–417.

Cleveland J S. 1995. Regional models for phytoplankton absorption as a function of chlorophyll a concentration. Journal of Geophysical Research, 100: 13 333–13 344.

Dai M H, Zhai W D, Cai W J et al. 2008. Effects of an estuarine plume-associated bloom on the carbonate system in the lower reaches of the Pearl River Estuary and the coastal zone of the northern South China Sea. Continental Shelf Research, 28(12): 1 416–1 423.

Devred E, Sathyendranath S, Stuart V et al. 2006. A two-component model of phytoplankton absorption in the open ocean: theory and applications. Journal of Geophysical Research, 111(C3), http://dx.doi.org/10.1029/2005jc002880.

Devred E, Sathyendranath S, Stuart V et al. 2011. A three component classification of phytoplankton absorption spectra: application to ocean-color data. Remote Sensing of Environment, 115(9): 2 255–2 266.

Fujiwara A, Hirawake T, Suzuki K et al. 2011. Remote sensing of size structure of phytoplankton communities using optical properties of the Chukchi and Bering Sea shelf region. Biogeosciences Discussions, 8(3): 4 985–5 017.

Gan J P, Li L, Wang D X et al. 2009. Interaction of a river plume with coastal upwelling in the northeastern South China Sea. Continental Shelf Research, 29(4): 728–740.

Hirata T, Aiken J, Hardman-Mountford N et al. 2008. An absorption model to determine phytoplankton size classes from satellite ocean colour. Remote Sensing of Environment, 112(6): 3 153–3 159.

Huang B Q, Liu X J, Liu Y et al. 2002. Ecological study of picoplankton in northern South China Sea. Chinese Journal of Oceanology and Limnology, 20 (special issue): 22–23.

Ke Z X, Huang L M, Tan Y H et al. 2011. Species composition and abundance of phytoplankton in the northern South China Sea in summer 2007. Journal of Tropical Oceanography, 30(1): 131–143. (in Chinese with English abstract)

Kishino M, Takahashi M, Okami N et al. 1985. Estimation of the spectral absorption coefficients of phytoplankton in the sea. Bulletin of Marine Science, 37(2): 634–642.

Kostadinov T S, Siegel D A, Maritorena S. 2009. Retrieval of the particle size distribution from satellite ocean color observations. Journal of Geophysical Research, 114(C9), http://dx.doi.org/10.1029/2009jc005303.

Kutser T, Metsamaa L, Strömbeck N et al. 2006. Monitoring cyanobacterial blooms by satellite remote sensing. Estuarine, Coastal and Shelf Science, 67(1–2): 303–312.

Le F F, Ning X R, Liu C G et al. 2008. Standing stock and production of phytoplankton in the northern South China Sea during winter of 2006. Acta Ecologica Sinica, 28(11): 5 775–5 784. (in Chinese with English abstract)

Liang S J, Cao W X, Wang G F et al. 2010. Retrieval of phytoplankton size parameter from phytoplankton absorption spectra. Journal of Tropical Oceanography, 29(2): 59–64. (in Chinese with English abstract)

Mitchell G, Bricaud A, Carder K L et al. 2000. Determination of spectral absorption coefficients of particles, dissolved material, and phytoplankton for discrete water samples. In: Fargion G S, Mueller J L eds. Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Revision 2, NASA/TM 2000-209966. NASA Goddard Space Flight Center, Greenbelt, Maryland. p.125–153.

Morales J, Stuart V, Platt T et al. 2011. Handbook of Satellite Remote Sensing Image Interpretation: Applications for Marine Living Resources Conservation and Management. EU PRESPO and IOCCG, Dartmouth, Canada. 303p.

Morel A, Andre J M. 1991. Pigment distribution and primary production in the western Mediterranean as derived and modeled from coastal zone color scanner observations. Journal of Geophysical Research, 96(C7): 12 685–12 698.

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.

Ning X R, Cai Y M, Li G W et al. 2003. Photosynthetic picoplankton in the northern South China Sea. Acta Ecologica Sinica, 25(3): 83–97. (in Chinese with English abstract)

Ning X, Chai F, Xue H J et al. 2004. Physical-biological oceanographic coupling influencing phytoplankton and primary production in the South China Sea. Journal of Geophysical Research, 109(C10), http://dx.doi.org/doi:10.1029/2004JC002365.

Parsons T R, Maita Y, Lalli C M A. 1984. Manual of Chemical and Biological Methods for Seawater Analysis. Pergamon Press, Oxford. 187p.

Platt T, Sathyendranath S. 2008. Ecological indicators for the pelagic zone of the ocean from remote sensing. Remote Sensing of Environment, 112(8): 3 426–3 436.

Quere C L, Harrison S P, Prentice C et al. 2005. Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models. Global Change Biology, 11(11): 2 016–2 040.

Raitsos D E, Lavender S J, Maravelias C D et al. 2008. Identifying four phytoplankton functional types from space: an ecological approach. Limnology and Oceanography, 53(2): 605–613.

Roesler C S. 1998. Theoretical and experimental approaches to improve the accuracy of particulate absorption coefficients derived from the quantitative filter technique. Limnology and Oceanography, 43(7): 1 649–1 660.

Sathyendranath S, Cota G, Stuart V et al. 2001. Remote sensing of phytoplankton pigments: a comparison of empirical and theoretical approaches. International Journal of Remote Sensing, 22(2–3): 249–273.

Sathyendranath S, Lazzara L, Prieur L. 1987. Variations in the spectral values of specific absorption of phytoplankton. Limnology and Oceanography, 32(2): 403–415.

Shang S L, Li L, Sun F Q et al. 2008. Changes of temperature and bio-optical properties in the South China Sea in response to Typhoon Lingling, 2001. Geophysical Research Letters, 35(10), http://dx.doi.org/10.1029/2008gl033502.

Sieburth J M, Smetacek V, Lenz J. 1978. Pelagic ecosystem structure: Heterotrophic compartments of the plankton and their relationship to plankton size fractions. Limnology and Oceanography, 23(6): 1 256–1 263.

Silió-Calzada A, Bricaud A, Uitz J et al. 2008. Estimation of new primary production in the Benguela upwelling area, using ENVISAT satellite data and a model dependent on the phytoplankton community size structure. Journal of Geophysical Research, 113(C11), http://dx.doi.org/10.1029/2007jc004588.

Uitz J, Claustre H, Griffiths F B et al. 2009. A phytoplankton class-specific primary production model applied to the Kerguelen Islands region (Southern Ocean). Deep Sea Research Part I: Oceanographic Research Papers, 56(4): 541–560.

Uitz J, Claustre H, Morel A et al. 2006. Vertical distribution of phytoplankton communities in open ocean: an assessment based on surface chlorophyll. Journal of Geophysical Research, 111(C8), http://dx.doi.org/10.1029/2005jc003207.

Wang G F, Cao W X, Xu D Z et al. 2005. Variations in specific absorption coefficients of phytoplankton in northern South China Sea. Journal of Tropical Oceanography, 24(5): 1–10. (in Chinese with English abstract)

Wang G F, Cao W X, Xu D Z et al. 2007. Effects of size structure and pigment composition of algal population on phytoplankton absorption coefficients in the South China Sea. Acta Ecologica Sinica, 29(1): 38–48. (in Chinese with English abstract)

Wang G F, Cao W X, Yang D T et al. 2008. Variation in downwelling diffuse attenuation coefficient in the northern South China Sea. Chinese Journal of Oceanology and Limnology, 26(3): 323–333.

Wang G F, Cao W X, Zhou W et al. 2010. Retrieval of phytoplankton size structure based on the spectral slope of phytoplankton absorption in the northern South China Sea. Journal of Tropical Oceanography, 29(2): 25–32. (in Chinese with English abstract)

Wu J Y, Hong H S, Shang S L et al. 2009. A preliminary study of the variation of phytoplankton absorption coefficients in the northern South China Sea. Acta Oceanologica Sinica, 28(5): 17–29.

Zhai H C, Ning X R, Tang X X et al. 2011. Phytoplankton pigment patterns and community composition in the northern South China Sea during winter. Chinese Journal of Oceanology and Limnology, 29(2): 233–245.

Zhou W, Cao W X, Li C et al. 2010a. Effects of algal cell structure on the optical properties of phytoplankton. Journal of Tropical Oceanography, 29(2): 33–38. (in Chinese with English abstract)

Zhou W, Cao W X, Wang G F et al. 2010b. Retrieval of pigment concentrations from the absorption spectra of phytoplankton by multilayered perceptrons. Journal of Tropical Oceanography, 29(2): 36–51. (in Chinese with English abstract)

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