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JPR Advance Access published online on December 2, 2008
Journal of Plankton Research, doi:10.1093/plankt/fbn115
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© The Author 2008. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org

Measured and numerically partitioned phytoplankton spectral absorption coefficients in inland waters

Yunlin Zhang1,2,*, Mingliang Liu1, Mark A. van Dijk2, Guangwei Zhu1, Zhijun Gong1, Yunliang Li1 and Boqiang Qin1

1 Taihu Lake Laboratory Ecosystem Research Station, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, People’s republic of China 2 Netherlands Institute of Ecology (NIOO-KNAW), Centre for Limnology, Rijksstraatweg 6, 3631 AC Nieuwersluis, The Netherlands

* CORRESPONDING AUTHOR: ylzhang{at}niglas.ac.cn

Received on August 24, 2008; accepted on November 4, 2008


  Abstract

Total particulate, tripton and phytoplankton absorption coefficients were measured for eutrophic (Lake Taihu), meso-eutrophic (Lake Tianmuhu) and mesotrophic waters (the Three Gorges Reservoir) in China using the quantitative filter technique. Meanwhile, tripton and phytoplankton absorption coefficients were numerically partitioned from total particulate matter absorption, using eight different models. The root mean square error (RMSE), relative RMSE (RRMSE), mean relative error (MRE) and similarity coefficient (SC) were used to assess the performance of the models. Phytoplankton absorption aph(440) and aph(675) ranged from 0.03 to 8.39 m–1 and from 0.02 to 5.21 m–1, respectively, including a large variability for particles and phytoplankton concentrations (total suspended matter: 1.6–191 mg L–1; chlorophyll a: 0.4–477.1 µg L–1). For the best model, model 6, tripton absorption was modeled using an exponential model with a background constant. The ratios of aph(380)/aph(505), aph(580)/aph(692.5) and aph(510)/aph(412) were used to model the spectral absorption of phytoplankton. The best performance of the partition models tended to a slight overestimation with the RRMSE equal to 44.4%, 27.0%, 33.5% and 40.1% for aph(400), aph(440), aph(675) and aph(PAR), respectively. The precision of the numerical method was largely determined by the total particle composition and the relative contribution of phytoplankton to the total particulate matter. Overall, the numerical partition model provides a reasonable estimation of the phytoplankton absorption coefficient, which enables us to retrieve the concentration of optically active substances from in situ measurements and remote sensing ocean color data.

Corresponding editor: William Li


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