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

Various methods have been proposed to estimate the size structure of phytoplankton in situ  , each exhibiting limitations and advantages. Two common approaches are size-fractionated filtration (SFF) and analysis of pigments derived from High Performance Liquid Chromatography (HPLC), and yet these two techniques have rarely been compared. In this paper, size-fractionated chlorophylls for pico- ( 20μm) were estimated independently from concurrent measurements of HPLC and SFF data collected along Atlantic Meridional Transect cruises. Three methods for estimating size-fractionated chlorophyll from HPLC data were tested. Size-fractionated chlorophylls estimated from HPLC and SFF data were significantly correlated, with HPLC data explaining between 40 and 88% of the variability in the SFF data. However, there were significant biases between the two methods, with HPLC methods overestimating nanoplankton chlorophyll and underestimating picoplankton chlorophyll when compared with SFF. Uncertainty in both HPLC and SFF data makes it difficult to ascertain which is more reliable. Our results highlight the importance of using multiple methods when determining the size-structure of phytoplankton in situ, to reduce uncertainty and facilitate interpretation of data.

[1]  Janet W. Campbell,et al.  The lognormal distribution as a model for bio‐optical variability in the sea , 1995 .

[2]  H. Claustre,et al.  Extreme diversity in noncalcifying haptophytes explains a major pigment paradox in open oceans , 2009, Proceedings of the National Academy of Sciences.

[3]  B. Logan Theoretical analysis of size distributions determined with screens and filters , 1993 .

[4]  R. W. Sheldon,et al.  SIZE SEPARATION OF MARINE SESTON BY MEMBRANE AND GLASS‐FIBER FILTERS1 , 1972 .

[5]  H. Claustre,et al.  Spatial variability of phytoplankton pigment distributions in the Subtropical South Pacific Ocean: comparison between in situ and predicted data , 2007 .

[6]  H. Claustre,et al.  Vertical distribution of phytoplankton communities in open ocean: An assessment based on surface chlorophyll , 2006 .

[7]  A. Bricaud,et al.  An intercomparison of bio-optical techniques for detecting dominant phytoplankton size class from satellite remote sensing , 2011 .

[8]  David A. Siegel,et al.  Retrieval of the particle size distribution from satellite ocean color observations , 2009 .

[9]  Trevor Platt,et al.  Remote sensing of phytoplankton functional types , 2008 .

[10]  George A. Jackson,et al.  Effects of phytoplankton community on production, size, and export of large aggregates: A world‐ocean analysis , 2009 .

[11]  Robert R. Bidigare,et al.  On the chlorophyll a retention properties of glass‐fiber GF/F filters , 1995 .

[12]  S. Wright,et al.  Phytoplankton Pigments in Oceanography: Guidelines to Modern Methods , 1997 .

[13]  Ian G. Droppo,et al.  Filtration in Particle Size Analysis , 2006 .

[14]  Y. C. Agrawal,et al.  Instruments for particle size and settling velocity observations in sediment transport , 2000 .

[15]  Annick Bricaud,et al.  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 , 2006 .

[16]  G. W. Johnson,et al.  Precision of size determination of resistive electronic particle counters , 1995 .

[17]  A Comparison of Near-Bed Acoustic Backscatter and Laser Diffraction Measurements of Suspended Sediments , 2007, IEEE Journal of Oceanic Engineering.

[18]  Hervé Claustre,et al.  Phytoplankton pigment distribution in relation to upper thermocline circulation in the eastern Mediterranean Sea during winter , 2001 .

[19]  C. Mouw,et al.  Optical determination of phytoplankton size composition from global SeaWiFS imagery , 2010 .

[20]  A. Marker,et al.  The use of acetone and methanol in the estimation of chlorophyll in the presence of phaeophytin , 1972 .

[21]  Jim Aiken,et al.  An absorption model to determine phytoplankton size classes from satellite ocean colour , 2008 .

[22]  S. Thiria,et al.  Retrieval of pigment concentrations and size structure of algal populations from their absorption spectra using multilayered perceptrons. , 2007, Applied optics.

[23]  J. Aiken,et al.  Functional links between bioenergetics and bio-optical traits of phytoplankton taxonomic groups: an overarching hypothesis with applications for ocean colour remote sensing , 2007 .

[24]  S. Wright,et al.  CHEMTAX - a program for estimating class abundances from chemical markers: application to HPLC measurements of phytoplankton , 1996 .

[25]  A. Alldredge,et al.  Variable retention of diatoms on screens during size separations , 1994 .

[26]  Julia Uitz,et al.  A phytoplankton class-specific primary production model applied to the Kerguelen Islands region (Southern Ocean) , 2009 .

[27]  T. Platt,et al.  Autotrophic Picoplankton in the Tropical Ocean , 1983, Science.

[28]  Y. Yamanaka,et al.  A comparison between phytoplankton community structures derived from a global 3D ecosystem model and satellite observation , 2013 .

[29]  R. W. Sheldon,et al.  The Size Distribution of Particles in the OCEAN1 , 1972 .

[30]  Lee Karp-Boss,et al.  LISST‐100 measurements of phytoplankton size distribution: evaluation of the effects of cell shape , 2007 .

[31]  W. Smith,et al.  A submersible three‐dimensional particle tracking velocimetry system for flow visualization in the coastal ocean , 2008 .

[32]  Trevor Platt,et al.  A three component classification of phytoplankton absorption spectra: Application to ocean-color data , 2011 .

[33]  Annick Bricaud,et al.  Estimation of new primary production in the Benguela upwelling area, using ENVISAT satellite data and a model dependent on the phytoplankton community size structure , 2008 .

[34]  M. Burford,et al.  Pigment contaminants in polycarbonate filters , 1994 .

[35]  Y. Yamanaka,et al.  Synoptic relationships between surface Chlorophyll- a and diagnostic pigments specific to phytoplankton functional types , 2011 .

[36]  K. Wiltshire,et al.  Comparison of different filter types on chlorophyll-a retention and nutrient measurements , 2007 .

[37]  R. Mantoura,et al.  Development of pigment methods for oceanography: SCOR-supported working groups and objectives , 1997 .

[38]  G. Dall’Olmo,et al.  Particle backscattering as a function of chlorophyll and phytoplankton size structure in the open-ocean. , 2012, Optics express.

[39]  Charles S. Yentsch,et al.  An imaging-in-flow system for automated analysis of marine microplankton , 1998 .

[40]  Annick Bricaud,et al.  Natural variability of phytoplanktonic absorption in oceanic waters: Influence of the size structure of algal populations , 2004 .

[41]  S. Sathyendranath,et al.  A three-component model of phytoplankton size class for the Atlantic Ocean , 2010 .

[42]  Trevor Platt,et al.  A two‐component model of phytoplankton absorption in the open ocean: Theory and applications , 2006 .

[43]  L. Prieur,et al.  Analysis of variations in ocean color1 , 1977 .

[44]  G. Graham,et al.  The application of holography to the analysis of size and settling velocity of suspended cohesive sediments , 2010 .

[45]  M. Zubkov,et al.  Plankton respiration in the Eastern Atlantic Ocean , 2002 .

[46]  Stephanie Dutkiewicz,et al.  A size‐structured food‐web model for the global ocean , 2012 .

[47]  E. Boss,et al.  Calibrated near-forward volume scattering function obtained from the LISST particle sizer. , 2006, Optics express.

[48]  T. Milligan,et al.  Principles, methods, and application of particle size analysis: Electroresistance particle size analyzers , 1991 .

[49]  S. Doney,et al.  Response of ocean phytoplankton community structure to climate change over the 21st century: partitioning the effects of nutrients, temperature and light , 2010 .

[50]  Optimizing the setup of a flow cytometric cell sorter for efficient quantitative sorting of long filamentous cyanobacteria , 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[51]  E. Marañón Phytoplankton Size Structure , 2008 .

[52]  B. C. Booth,et al.  Temporal variation in the structure of autotrophic and heterotrophic communities in the subarctic Pacific , 1993 .

[53]  B. Franz,et al.  Examining the consistency of products derived from various ocean color sensors in open ocean (Case 1) waters in the perspective of a multi-sensor approach , 2007 .

[54]  John J. Cullen,et al.  Assessment of the relationships between dominant cell size in natural phytoplankton communities and the spectral shape of the absorption coefficient , 2002 .

[55]  P. J. Werdell,et al.  An improved in-situ bio-optical data set for ocean color algorithm development and satellite data product validation , 2005 .

[56]  Michael J. Behrenfeld,et al.  Significant contribution of large particles to optical backscattering in the open ocean , 2009 .

[57]  Dariusz Stramski,et al.  Phytoplankton class‐specific primary production in the world's oceans: Seasonal and interannual variability from satellite observations , 2010 .

[58]  Yasuhiro Yamanaka,et al.  NEMURO—a lower trophic level model for the North Pacific marine ecosystem , 2007 .

[59]  Marcel Babin,et al.  Relating phytoplankton photophysiological properties to community structure on large scales , 2008 .

[60]  Marcel Babin,et al.  Toward a taxon‐specific parameterization of bio‐optical models of primary production: A case study in the North Atlantic , 2005 .

[61]  Stéphane Blain,et al.  An ecosystem model of the global ocean including Fe, Si, P colimitations , 2003 .

[62]  J. Lynch,et al.  The interpretation and evaluation of a 3‐MHz acoustic backscatter device for measuring benthic boundary layer sediment dynamics , 1989 .

[63]  T. Platt,et al.  Ecological indicators for the pelagic zone of the ocean from remote sensing , 2008 .

[64]  E. Venrick,et al.  Picoplankton and the resulting bias in chlorophyll retained by traditional glass-fiber filters , 1987 .

[65]  Hervé Claustre,et al.  The trophic status of various oceanic provinces as revealed by phytoplankton pigment signatures , 1994 .

[66]  Jerry Blackford,et al.  Ecosystem dynamics at six contrasting sites: a generic modelling study , 2004 .

[67]  U. Bathmann,et al.  Distribution patterns of autotrophic pico- and nanoplankton and their relative contribution to algal biomass during spring in the Atlantic sector of the Southern Ocean , 1997 .

[68]  Trevor Platt,et al.  Retrieval of phytoplankton size from bio-optical measurements: theory and applications , 2011, Journal of The Royal Society Interface.

[69]  P. Holligan,et al.  Patterns of phytoplankton size structure and productivity in contrasting open-ocean environments , 2001 .

[70]  Robert J. W. Brewin,et al.  Deriving phytoplankton size classes from satellite data: Validation along a trophic gradient in the eastern Atlantic Ocean , 2013 .

[71]  Patrick M. Holligan,et al.  Phytoplankton pigments and functional types in the Atlantic Ocean: A decadal assessment, 1995–2005 , 2009 .

[72]  D. Eisma,et al.  In situ particle (floc) size measurements with the Nioz in situ camera system , 1996 .

[73]  J. Aiken,et al.  An inherent optical property approach to the estimation of size-specific photosynthetic rates in eastern boundary upwelling zones from satellite ocean colour: An initial assessment , 2009 .