Phytoplankton pigment absorption: A strong predictor of primary productivity in the surface ocean

Marra, John; Trees, Charles C.; O’Reilly, John E.

doi:10.1016/j.dsr.2006.12.001

Cited by 125 publications

(89 citation statements)

References 39 publications

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“…for phytoplankton pigmentation has become increasingly accepted (e.g., Cullen, 1982;Marra et al, 2007;Lee et al, 2011;Hirawake et al, 2011;Shang et al, 2011), Chl remains a basic, routinely sampled, and widely accepted oceanographic parameter for oceanographers.…”

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confidence: 99%

On the consistency of MODIS chlorophyll $a$ products in the northern South China Sea

Shang

Dong

et al. 2014

Biogeosciences

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Abstract. Chlorophyll a (Chl) concentrations derived from satellite measurements have been used in oceanographic research, for example to interpret eco-responses to environmental changes on global and regional scales. However, it is unclear how existing Chl products compare with each other in terms of accuracy and consistency in revealing temporal and spatial patterns, especially in the optically complex marginal seas. In this study, we examined three MODIS (Moderate Resolution Imaging Spectroradiometer) Chl data products that have been made available to the community by the US National Aeronautics and Space Administration (NASA) using community-accepted algorithms and default parameterization. These included the products derived from the OC3M (ocean chlorophyll three-band algorithm for MODIS), GSM (Garver-Siegel-Maritorena model) and GIOP (generalized inherent optical properties) algorithms. We compared their temporal variations and spatial distributions in the northern South China Sea. We found that the three products appeared to capture general features such as unique winter peaks at the Southeast Asian Time-series Study station (SEATS, 18 • N, 116 • E) and the Pearl River plume associated blooms in summer. Their absolute magnitudes, however, may be questionable in the coastal zones. Additional error statistics using field measured Chl as the truth demonstrated that the three MODIS Chl products may contain high degree of uncertainties in the study region. Root mean square error (RMSE) of the products from OC3M and GSM (on a log scale) was about 0.4 and average percentage error (ε) was ∼ 115 % (Chl between 0.05-10.41 mg m −3 , n = 114). GIOP with default parameterization led to higher errors (ε = 329 %). An attempt to tune the algorithms based on a local coastal-water bio-optical data set led to reduced errors for Chl retrievals, indicating the importance of local tuning of globally-optimized algorithms. Overall, this study points to the need of continuous improvements for algorithm development and parameterization for the coastal zones of the study region, where quantitative interpretation of the current Chl products requires extra caution.

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confidence: 99%

On the consistency of MODIS chlorophyll $a$ products in the northern South China Sea

Shang

Dong

et al. 2014

Biogeosciences

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“…Taken together these studies have challenged a long held view that f' PSII is a mechanistic proxy for nutrient deficiency (Kolber et al 1988). In addition, Marra et al (2007) demonstrated much of the apparent variability in chl a normalized carbon assimilation rates from the extensive Joint Global Ocean Flux Study (JGOFS) is diminished when these rates are instead normalized to a PS . In addition to the sensitivity analysis shown in Table 2, these arguments provide additional evidence that the efficacy of light-limited electron transport rates is largely dependent on accurate parameterization of a PSII .…”

Section: Pigment Absorption Drives Light Limited Photosynthetic Electmentioning

confidence: 99%

“…Across diverse marine and freshwater environments where light-limited f' PSII is constrained (Suggett et al 2009a), photosynthetic pigment absorption largely regulates variability in photosynthetic rates (Marra et al 2007). In the absence of direct measures of n PSII and spectrally resolved estimates of s PSII , scaling fluorescence to photosynthetic absorption spectra is a feasible method to derive a PSII .…”

Section: Comments and Recommendationsmentioning

confidence: 99%

Improved estimation of carbon fixation rates from active flourometry using spectral fluorescence in light‐limited environments

Silsbe

Hecky

Smith

2012

Limnology & Ocean Methods

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Accurate measures of phytoplankton production are critical to quantify the flow of energy and mass in aquatic ecosystems. Bio-optical measures of photosynthetic electron transport rates through photosystem II (ETR PSII ) have emerged as an attractive alternative to classic photosynthetic assays as they can be performed in situ and at unparalleled sampling resolution. Measures of ETR PSII avoid artifacts related to bottle containment and have enhanced our understanding on how photosynthetic physiology varies through space and time (Behrenfeld et al. 2006), and across physical and taxonomic gradients (Moore et al. 2006, Suggett et al. 2009a).Yet when ETR PSII is compared against parallel measurements of photosynthetic carbon assimilation (P C ) or gross oxygen evolution (P O2 ), the measurements are often equivocal. Suggett et al. (2010) provides a comprehensive review of all studies that have 'validated' bio-optically derived ETR PSII against other photosynthetic methodologies, most commonly P C . Validating ETR PSII using measures of P C or P O2 can only be proximal. The energetic yield of linear ETR (ATP and NADPH) serves a variety of metabolic needs including reduction of carbon dioxide to organic compounds (Behrenfeld et al. 2008), while cyclic PSII pathways (eg, Mehler reaction, plastiquinone terminal oxidase) can decouple ETR PSII from P O2 (Prasil et al. 1996, Mackey et al. 2008. Consequently comparative studies have shown that the quantum requirement of carbon fixation (F e,C ) and oxygen evolution (F e,O2 ), that is the ratio of ETR PSII to P C and P O2 respectively, is variable within and across ecosystems (Suggett et al. 2010).ETR PSII is estimated with measures of irradiance (E), the absorption coefficient of pigments associated with PSII (a PSII ) that are spectrally scaled to E (ā PSII ), and the quantum effiImproved estimation of carbon fixation rates from active flourometry using spectral fluorescence in light-limited environments Greg AbstractBio-optical models predict photosynthetic electron transport rates through photosystem II (ETR PSII ) from measures of irradiance (E), the absorption coefficient of pigments associated with PSII (a PSII ) that are spectrally scaled to E (ā PSII ), and the quantum efficiency of PSII (f' PSII ). However bio-optical models currently suffer from methodological uncertainties in the quantification of ā PSII , and variable stoichiometry between ETR PSII and the more ecologically-relevant carbon fixation (P C ), defined here as the quantum requirement for carbon fixation (F e,C = ETR PSII ¥ P C -1). Here we analyze measures of P C , f' PSII , and ā PSII across optical, thermal, nutrient and phytoplankton composition gradients in Lake Erie. We show that f' PSII in the light-limited portion of the water column is relatively constant despite the wide range of biological and environmental conditions, but that variations in ā PSII are large. Measures of ā PSII are shown to be highly influenced by methodology as different approaches significantly influence measures of ...

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“…7 The variability of absorption coefficients in open ocean waters ("case 1") has been thoroughly documented over the last several decades. [8][9][10] In recent years, methods for the accurate retrieval of total absorption in coastal or inland waters ("case 2") have also been under investigation, with proposed-models including empirical, 11 spectral optimization, 12 artificial neural network, 13 linear matrix inversion, 14 and semianalytical 15 approaches. Empirical models associate IOPs with remote sensing reflectance or the ratio of irradiance reflectance using simple or multiple regression methods.…”

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confidence: 99%

Retrieval of absorption coefficients for a drinking water source using a green–red band quasianalytical algorithm

Shi

Tao

Mao

et al. 2018

J. Appl. Rem. Sens.

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"Retrieval of absorption coefficients for a drinking water source using a green-red band quasianalytical algorithm," J. Appl. Remote Sens. 12(4), 042802 (2018), doi: 10.1117/1.JRS.12.042802. Abstract. This study proposed a green-red band quasianalytical algorithm, QAA-GRI, and evaluates its performance using an in situ dataset from Lake Qiandaohu, a drinking water source, in China. First, by shifting the reference wavelength from 555 to 510 nm, a green-red index (GRI) can be calculated from remote sensing reflectance at 510, 560, and 620 nm, and the index was then used to retrieve the total absorption coefficients at the reference band, að510Þ. Second, a semianalytical model based on að510Þ and the GRI was deduced to establish the QAA-GRI, replacing the empirical model in quasianalytical algorithm version 5 (QAA-v5). The QAA-GRI was applied to retrieve absorption coefficients from an in situ dataset of Lake Qiandaohu, and the QAA-GRI's performance was compared with that of QAA-v5 and another red-green QAAbased approach (QAA-RGR). The results demonstrate that, for this dataset, the QAA-GRI exhibited better performance (R 2 ¼ 0.81, mean absolute percentage error, MAPE ¼ 15.7%), which indicated a clear improvement in the accuracy of absorption coefficient retrieval, compared with QAA-v5 (R 2 ¼ 0.56, MAPE ¼ 21.2%) and QAA-RGR (R 2 ¼ 0.67, MAPE ¼ 22.6%). In addition, to illustrate the QAA-GRI's assumptions and its applicability, the QAA-GRI was also applied to an in situ dataset from Taihu Lake, a highly turbid and eutrophic water source. As predicted, when applied to Taihu Lake, the QAA-GRI did not perform as well as it did when applied to Lake Qiandaohu because of the former's extremely high turbidity, which can cause greater uncertainty with regard to backscattering coefficients. This study suggests that the QAA-GRI is better suited to the retrieval of absorption coefficients from drinking water resources. Our algorithm will also have potential applications to satellite data from the Medium Resolution Imaging Spectrometer or Ocean and Land Color Instrument. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Phytoplankton pigment absorption: A strong predictor of primary productivity in the surface ocean

Cited by 125 publications

References 39 publications

On the consistency of MODIS chlorophyll $a$ products in the northern South China Sea

On the consistency of MODIS chlorophyll $a$ products in the northern South China Sea

Improved estimation of carbon fixation rates from active flourometry using spectral fluorescence in light‐limited environments

Retrieval of absorption coefficients for a drinking water source using a green–red band quasianalytical algorithm

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