Comparison of two methods to derive the size-structure of natural populations of phytoplankton

Brewin, Robert J. W.; Sathyendranath, Shubha; Lange, Priscila Kienteca; Tilstone, Gavin H.

doi:10.1016/j.dsr.2013.11.007

Cited by 55 publications

(61 citation statements)

References 68 publications

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“…These studies provide some confidence in the use diagnostic pigments to infer PSC. However, additional analysis is required to quantify uncertainties in this pigment-based approach (Brewin et al, 2014a). Significant temporal changes in PSC were observed in the NATL and TRA provinces (Fig.…”

Section: Implications Of Modifications In the Relationship Between Psmentioning

confidence: 99%

“…Some diagnostic pigments such as fucoxanthin (main indicator of diatoms) may also be found in some flagellates (Jeffrey et al, 2011;Vidussi et al, 2001) and the pigment groupings do not strictly reflect the true size of phytoplankton (Uitz et al, 2006). Brewin et al (2014a) conducted a comparison of sizefractionated chlorophyll estimated independently from HPLC diagnostic pigment analysis and from size-fractionated filtration (SFF) along the AMT transect. Encouragingly, they found size-fractionated chlorophyll estimated from HPLC and SFF data were significantly correlated, with HPLC data explaining between 40% and 88% of the variability in the SFF data.…”

Section: Implications Of Modifications In the Relationship Between Psmentioning

confidence: 99%

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Temporal changes in total and size-fractioned chlorophyll-a in surface waters of three provinces in the Atlantic Ocean (September to November) between 2003 and 2010

Ağırbaş

Martinez‐Vicente

Brewin

et al. 2015

Journal of Marine Systems

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Phytoplankton total chlorophyll concentration (TCHLa) and phytoplankton size structure are two important ecological indicators in biological oceanography. Using high performance liquid chromatography (HPLC) pigment data, collected from surface waters along the Atlantic Meridional Transect (AMT), we examine temporal changes in TCHLa and phytoplankton size class (PSC: micro-, nano-and pico-phytoplankton) between 2003 and 2010 (September to November cruises only), in three ecological provinces of the Atlantic Ocean. The HPLC data indicate no significant change in TCHLa in northern and equatorial provinces, and an increase in the southern province. These changes were not significantly different to changes in TCHLa derived using satellite oceancolour data over the same study period. Despite no change in AMT TCHLa in northern and equatorial provinces, significant differences in PSC were observed, related to changes in key diagnostic pigments (fucoxanthin, peridinin, 19′-hexanoyloxyfucoxanthin and zeaxanthin), with an increase in small cells (nano-and picophytoplankton) and a decrease in larger cells (micro-phytoplankton). When fitting a three-component model of phytoplankton size structure -designed to quantify the relationship between PSC and TCHLa to each AMT cruise, model parameters varied over the study period. Changes in the relationship between PSC and TCHLa have wide implications in ecology and marine biogeochemistry, and provide key information for the development and use of empirical ocean-colour algorithms. Results illustrate the importance of maintaining a timeseries of in-situ observations in remote regions of the ocean, such as that acquired in the AMT programme.

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Section: Implications Of Modifications In the Relationship Between Psmentioning

confidence: 99%

Section: Implications Of Modifications In the Relationship Between Psmentioning

confidence: 99%

Temporal changes in total and size-fractioned chlorophyll-a in surface waters of three provinces in the Atlantic Ocean (September to November) between 2003 and 2010

Ağırbaş

Martinez‐Vicente

Brewin

et al. 2015

Journal of Marine Systems

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“…For the algorithms that utilize HPLC pigments in their development, it should be noted that direct comparisons need to be considered carefully, as not all output products are developed and validated with the same set of diagnostic pigment coefficients. There are ongoing efforts to verify HPLC methods (i.e., Equation 5) through comparison with other techniques (e.g., Brewin et al, 2014a). As Nair et al (2008) pointed out, any single method alone may not be entirely dependable, thus incorporating various methodologies leads to a more complete diagnosis of phytoplankton groups.…”

Section: Algorithm Validationmentioning

confidence: 99%

A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean

et al. 2017

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Phytoplankton are composed of diverse taxonomical groups, which are manifested as distinct morphology, size, and pigment composition. These characteristics, modulated by their physiological state, impact their light absorption and scattering, allowing them to be detected with ocean color satellite radiometry. There is a growing volume of literature describing satellite algorithms to retrieve information on phytoplankton composition in the ocean. This synthesis provides a review of current methods and a simplified comparison of approaches. The aim is to provide an easily comprehensible resource for non-algorithm developers, who desire to use these products, thereby raising the level of awareness and use of these products and reducing the boundary of expert knowledge needed to make a pragmatic selection of output products with confidence. The satellite input and output products, their associated validation metrics, as well as assumptions, strengths, and limitations of the various algorithm types are described, providing a framework for algorithm organization to assist users and inspire new aspects of algorithm development capable of exploiting the higher spectral, spatial and temporal resolutions from the next generation of ocean color satellites.

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“…Among all available in situ PG data sets, HPLC-phytoplankton pigment data contain the largest number of observations resulting in the greatest spatial coverage with standardized quality control protocols (Hooker et al, 2012). However, size fractionated in situ data of chl-a serve as a more direct validation data set for assessing satellite retrievals on PSC (e.g., Brewin et al, 2014). The long-term and spatially extended Continuous Plankton Recorder (CPR) data sets have been used for constructing and evaluating ecological algorithms focusing on larger phytoplankton (Raitsos et al, 2008).…”

Section: Approachmentioning

confidence: 99%

Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development

et al. 2017

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To improve our understanding of the role of phytoplankton for marine ecosystems and global biogeochemical cycles, information on the global distribution of major phytoplankton groups is essential. Although algorithms have been developed to assess phytoplankton diversity from space for over two decades, so far the application of these data sets has been limited. This scientific roadmap identifies user needs, summarizes the current state of the art, and pinpoints major gaps in long-term objectives to deliver space-derived phytoplankton diversity data that meets the user requirements. These major gaps in using ocean color to estimate phytoplankton community structure were identified as: (a) the mismatch between satellite, in situ and model data on phytoplankton composition, (b) the lack of quantitative uncertainty estimates provided with satellite data, (c) the spectral limitation of current sensors to enable the full exploitation of backscattered sunlight, and (d) the very limited applicability of satellite algorithms determining phytoplankton composition for regional, especially coastal or inland, waters. Recommendation for actions include but are not limited to: (i) an increased communication and round-robin exercises among and within the related expert groups, (ii) the launching of higher spectrally and spatially resolved sensors, (iii) the development of algorithms that exploit

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Comparison of two methods to derive the size-structure of natural populations of phytoplankton

Cited by 55 publications

References 68 publications

Temporal changes in total and size-fractioned chlorophyll-a in surface waters of three provinces in the Atlantic Ocean (September to November) between 2003 and 2010

Temporal changes in total and size-fractioned chlorophyll-a in surface waters of three provinces in the Atlantic Ocean (September to November) between 2003 and 2010

A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean

Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development

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