The MAREDAT global database of high performance liquid chromatography marine pigment measurements

Abstract. A global pigment database consisting of 35 634 pigment suites measured by high performance liquid chromatography was assembled in support of the MARine Ecosytem DATa (MAREDAT) initiative. These data originate from 136 field surveys within the global ocean, were solicited from investigators and databases, compiled, and then quality controlled. Nearly one quarter of the data originates from the Laboratoire d'Oceanographie de Villefranche (LOV), with an additional 17% and 19% stemming from the US JGOFS and LTER programs, respectively. The MAREDAT pigment database provides high quality measurements of the major taxonomic pigments including chlorophylls a and b, 19'-butanoyloxyfucoxanthin, 19'-hexanoyloxyfucoxanthin, alloxanthin, divinyl chlorophyll a, fucoxanthin, lutein, peridinin, prasinoxanthin, violaxanthin and zeaxanthin, which may be used in varying combinations to estimate phytoplankton community composition. Quality control measures consisted of flagging samples that had a total chlorophyll a concentration of zero, had fewer than four reported accessory pigments, or exceeded two standard deviations of the log-linear regression of total chlorophyll a with total accessory pigment concentrations. We anticipate the MAREDAT pigment database to be of use in the marine ecology, remote sensing and ecological modeling communities, where it will support model validation and advance our global perspective on marine biodiversity. The original dataset together with quality control flags as well as the gridded MAREDAT pigment data may be downloaded from PANGAEA: http://doi.pangaea.de/10.1594/PANGAEA.793246 .

[1]  R. Bidigare,et al.  Accessory pigments versus chlorophyll a concentrations within the euphotic zone: A ubiquitous relationship , 2000 .

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

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

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

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

[6]  S. Hooker,et al.  Phytoplankton Pigments: The importance of a quality assurance plan for method validation and minimizing uncertainties in the HPLC analysis of phytoplankton pigments , 2011 .

[7]  C. Llewellyn,et al.  The rapid determination of algal chlorophyll and carotenoid pigments and their breakdown products in natural waters by reverse-phase high-performance liquid chromatography , 1983 .

[8]  M. Behrenfeld,et al.  Independence and interdependencies among global ocean color properties: Reassessing the bio‐optical assumption , 2005 .

[9]  R. Bidigare,et al.  Temporal variability of phytoplankton community structure based on pigment analysis , 1993 .

[10]  Andrew J. Watson,et al.  Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models , 2005 .

[11]  C. Deutsch,et al.  Ocean nutrient ratios governed by plankton biogeography , 2010, Nature.

[12]  W. Esaias,et al.  Annual cycles of phytoplankton chlorophyll concentrations in the global ocean: A satellite view , 1993 .

[13]  H. Claustre,et al.  Determination of chlorophylls and carotenoids of marine phytoplankton: separation of chlorophyll a from divinylchlorophyll a and zeaxanthin from lutein , 1996 .

[14]  Stanford,et al.  Volume 14, The First SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE-1) , 2001 .

[15]  D. Deutschman,et al.  An evaluation of the application of CHEMTAX to Antarctic coastal pigment data , 2011 .

[16]  P. C. Reid,et al.  Identifying four phytoplankton functional types from space: An ecological approach , 2008 .

[17]  L. Prieur,et al.  Phytoplankton dynamics associated with a geostrophic front: Ecological and biogeochemical implications , 1994 .

[18]  Nicholas R. Bates,et al.  Pelagic functional group modeling: Progress, challenges and prospects , 2006 .

[19]  M. Behrenfeld,et al.  Widespread iron limitation of phytoplankton in the south pacific ocean , 1999, Science.

[20]  H. Claustre,et al.  Specific phytoplankton biomasses and their relation to primary production in the tropical North Atlantic , 1995 .

[21]  Louise Schlüter,et al.  Phytoplankton Pigments: Quantitative interpretation of chemotaxonomic pigment data , 2011 .

[22]  R. Goericke,et al.  Estimating the contribution of microalgal taxa to chlorophyll a in the field--variations of pigment ratios under nutrient- and light-limited growth , 1998 .

[23]  Scott C. Doney,et al.  MAREDAT: towards a world atlas of MARine Ecosystem DATa , 2013 .

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

[25]  Hervé Claustre,et al.  Phytoplankton photoadaptation related to some frontal physical processes , 1994 .

[26]  J. Blackford,et al.  Phytoplankton community assemblage in the English Channel: a comparison using chlorophyll a derived from HPLC-CHEMTAX and carbon derived from microscopy cell counts , 2004 .

[27]  P. Holligan,et al.  Surface phytoplankton pigment distributions in the Atlantic Ocean: an assessment of basin scale variability between 50°N and 50°S , 2000 .

[28]  S. Wright,et al.  Phytoplankton community structure and stocks in the Southern Ocean (30–80°E) determined by CHEMTAX analysis of HPLC pigment signatures , 2010 .

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

[30]  S. Alvaina,et al.  Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery , 2005 .

[31]  H. Claustre,et al.  The Fourth SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE-4) , 2009 .

[32]  J. Nishioka,et al.  Community structure and photosynthetic physiology of phytoplankton in the northwest subarctic Pacific during an in situ iron fertilization experiment (SEEDS-II) , 2009 .

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

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

[35]  Geir Johnsen,et al.  Phytoplankton pigments : characterization, chemotaxonomy and applications in oceanography , 2011 .

[36]  J. Marty,et al.  Seasonal and interannual dynamics of nutrients and phytoplankton pigments in the western Mediterranean Sea at the DYFAMED time-series station (1991 1999) , 2002 .

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

[38]  Crystal S. Thomas,et al.  Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments. , 2001, Journal of chromatography. A.

[39]  C. Moulin,et al.  Seasonal distribution and succession of dominant phytoplankton groups in the global ocean : a satellite view - art. no. GB3001 , 2008 .

[40]  Thomas R. Anderson,et al.  Plankton functional type modelling : running before we can walk? , 2005 .

[41]  B. Gentili,et al.  Bio-optical properties of high chlorophyll Case 1 waters and of yellow-substance-dominated Case 2 waters , 2006 .

[42]  François-Marie Bréon,et al.  Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery , 2005 .

[43]  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.

[44]  G. Reygondeau,et al.  Monitoring marine phytoplankton seasonality from space , 2012 .

[45]  R. Olson,et al.  A novel niche for Prochlorococcus sp. in low-light suboxic environments in the Arabian Sea and the Eastern Tropical North Pacific , 2000 .

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

[47]  A. Wood,et al.  Vertical distribution of North Atlantic ultraphytoplankton: analysis by flow cytometry and epifluorescence microscopy , 1988 .

[48]  J. Middelburg,et al.  A Bayesian compositional estimator for microbial taxonomy based on biomarkers , 2008 .

[49]  M. Dinniman,et al.  Interannual variations in nutrients, net community production, and biogeochemical cycles in the Ross Sea , 2006 .

[50]  E. Berdalet,et al.  Routine quantification of phytoplankton groups— microscopy or pigment analyses? , 2004 .

[51]  Curtis Deutsch,et al.  Oceanic nitrogen reservoir regulated by plankton diversity and ocean circulation , 2012, Nature.

[52]  H. Saito,et al.  Responses of phytoplankton and heterotrophic bacteria in the northwest subarctic Pacific to in situ iron fertilization as estimated by HPLC pigment analysis and flow cytometry , 2005 .

[53]  T. Saino,et al.  Temporal and spatial patterns of chemotaxonomic algal pigments in the subarctic Pacific and the Bering Sea during the early summer of 1999 , 2002 .

[54]  T. Cockerell Pigments , 1903, Laboratory investigation; a journal of technical methods and pathology.

[55]  M. D. Keller,et al.  A comparison of HPLC pigment signatures and electron microscopic observations for oligotrophic waters of the North Atlantic and Pacific Oceans , 1996 .

[56]  H. Claustre,et al.  An Intercomparison of HPLC Phytoplankton Pigment Methods Using In Situ Samples. Application to Remote Sensing and Database Activities. , 2004 .

[57]  S. Lavender,et al.  A spectral response approach for detecting dominant phytoplankton size class from satellite remote sensing , 2010 .

[58]  H. Claustre,et al.  Photosynthetic pigments as biomarkers oof phytoplankton populations and processes involved in the transformation of particulate organic matter at the Biotrans site (47°N, 20°W) , 1991 .

[59]  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 .

[60]  K. Bruland,et al.  Influence of iron on algal community composition and physiological status in the Peru upwelling system , 2005 .

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

[62]  C. Moulin,et al.  Seasonal distribution and succession of dominant phytoplankton groups in the global ocean: A satellite view , 2008 .

[63]  David M. Karl,et al.  Picophytoplankton biomass distribution in the global ocean , 2012 .

[64]  H. Saito,et al.  Differences in cell viabilities of phytoplankton between spring and late summer in the northwest Pacific Ocean , 2008 .

[65]  Taro Takahashi,et al.  Skill metrics for confronting global upper ocean ecosystem-biogeochemistry models against field and remote sensing data , 2009 .