Absorption properties of shoal-dominated waters in the Atchafalaya Shelf, Louisiana, USA

Spectral absorption coefficients of coloured dissolved organic matter (a CDOM(λ)) and particulate matter (a p(λ)) (phytoplankton (a PHY(λ)) plus non-algal particles (a NAP(λ)), measured on the shoal-dominated region off the Atchafalaya River (AR) Shelf, Louisiana, USA, are analysed, and their effect on chlorophyll-a retrievals from ocean-colour sensors examined. Compared to a CDOM(λ) and a NAP(λ), a PHY(λ) is relatively constant, with a CDOM(λ) and a NAP(λ) varying by approximately 1.2 and 1.8 times as much as a PHY(λ) at 443 nm, respectively. The specific a PHY(λ) (a*PHY(λ)) ranges from 0.006 to 0.0612 m−2(mg chla)−1 at 443 nm, which indicates a pigment-packaging effect or a variation in pigment composition. The a NAP(λ) accounts for approximately 3–93% of a p(λ) at 443 nm, with a higher contribution to a p(λ) during an October 2007 cruise (62–93%) as compared to an August 2007 cruise (31–89%). Our results indicate that a CDOM(λ) and a NAP(λ) collectively dominate light absorption, even at higher wavelengths where their effect is expected to be minimal. In situ and satellite data match-up of chlorophyll-a yield root-mean square errors of 2.17 and 2.62 for the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and the Medium Resolution Imaging Spectrometer (MERIS), respectively. The non-covarying a CDOM(λ) and a NAP(λ), along with variable a*PHY(λ), greatly influenced the remote retrieval of biogeochemical variables using satellite ocean-colour algorithms in this region.

[1]  Alan Weidemann,et al.  Phytoplankton spectral absorption as influenced by community size structure and pigment composition , 2003 .

[2]  H. Claustre,et al.  Variability in the chlorophyll‐specific absorption coefficients of natural phytoplankton: Analysis and parameterization , 1995 .

[3]  Motoaki Kishino,et al.  Estimation of the spectral absorption coefficients of phytoplankton in the sea , 1985 .

[4]  Menghua Wang,et al.  Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. , 1994, Applied optics.

[5]  Satoru Taguchi,et al.  Variability in chlorophyll a specific absorption coefficient in marine phytoplankton as a function of cell size and irradiance , 2002 .

[6]  J. Fleeger,et al.  High Benthic Microalgal Biomass Found on Ship Shoal, North-central Gulf of Mexico , 2009 .

[7]  J. Brock,et al.  Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: initial results from Tampa Bay, FL , 2004 .

[8]  A. Bricaud,et al.  Theoretical results concerning light absorption in a discrete medium, and application to specific absorption of phytoplankton , 1981 .

[9]  L. Duysens,et al.  The flattening of the absorption spectrum of suspensions, as compared to that of solutions. , 1956, Biochimica et biophysica acta.

[10]  Robert F. Chen,et al.  High-resolution measurements of chromophoric dissolved organic matter in the Mississippi and Atchafalaya River plume regions , 2004 .

[11]  Richard P. Santer,et al.  Bio-optical Properties of Coastal Waters in the Eastern English Channel , 2007 .

[12]  Annick Bricaud,et al.  Optical efficiency factors of some phytoplankters1 , 1983 .

[13]  R. Eugene Turner,et al.  Coastal Hypoxia: consequences for living resources and ecosystems , 2001 .

[14]  Kendall L. Carder,et al.  Application of an optimization algorithm to satellite ocean color imagery: A case study in Southwest Florida coastal waters , 2003, SPIE Asia-Pacific Remote Sensing.

[15]  K. Carder,et al.  Marine humic and fulvic acids: Their effects on remote sensing of ocean chlorophyll , 1989 .

[16]  N. Walker,et al.  Impacts of Winter Storms on Circulation and Sediment Transport: Atchafalaya-Vermilion Bay Region, Louisiana, U.S.A. , 2000 .

[17]  A. U.S.,et al.  Impacts of Winter Storms on Circulation and Seditnent Transport : Atchafalaya-Vermilion Bay Region , Louisiana , , 2012 .

[18]  Sallie W. Chisholm,et al.  Comparative physiology of Synechococcus and Prochlorococcus: influence of light and temperature on growth, pigments, fluorescence and absorptive properties , 1995 .

[19]  Richard L. Miller,et al.  Bio-optical properties in waters influenced by the Mississippi River during low flow conditions , 2003 .

[20]  Malik Chami,et al.  Optical properties of the particles in the Crimea coastal waters (Black Sea) , 2005 .

[21]  David Doxaran,et al.  Apparent and inherent optical properties of turbid estuarine waters: measurements, empirical quantification relationships, and modeling. , 2006, Applied optics.

[22]  Lisa R. Moore,et al.  Determination of spectral absorption coefficients of particles, dissolved material and phytoplankton for discrete water samples , 2000 .

[23]  Neil V. Blough,et al.  Optical absorption spectra of waters from the Orinoco River outflow : terrestrial input of colored organic matter to the Caribbean , 1993 .

[24]  S. Sathyendranath,et al.  Effect of pigment composition on absorption properties of phytoplankton , 1991 .

[25]  L. Prieur,et al.  Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains1 , 1981 .

[26]  Jingping Xu,et al.  Ship Shoal as a Prospective Borrow Site for Barrier Island Restoration, Coastal South-Central Louisiana, USA: Numerical Wave Modeling and Field Measurements of Hydrodynamics and Sediment Transport , 2004 .

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

[28]  Richard W. Gould,et al.  Remote sensing estimates of inherent optical properties in a coastal environment , 1997 .

[29]  F. Muller‐Karger,et al.  On the absorption of light in the Orinoco River plume , 2007 .

[30]  M. Collins,et al.  Annual variations in suspended particulate matter within the Dover Strait , 1993 .

[31]  Richard L. Miller,et al.  Bio-optical properties and ocean color algorithms for coastal waters influenced by the Mississippi River during a cold front. , 2006, Applied optics.

[32]  Dariusz Stramski,et al.  Optical properties of photosynthetic picoplankton in different physiological states as affected by growth irradiance , 1990 .

[33]  Stelvio Tassan,et al.  An alternative approach to absorption measurements of aquatic particles retained on filters , 1995 .

[34]  Mark A. Grippo,et al.  Diversity and composition of macrobenthic community associated with sandy shoals of the Louisiana continental shelf , 2009, Biodiversity and Conservation.

[35]  B. G. Mitchell,et al.  Algorithms for determining the absorption coefficient for aquatic particulates using the quantitative filter technique , 1990, Defense, Security, and Sensing.

[36]  Eurico J. D'Sa,et al.  Suspended particulate matter dynamics in coastal waters from ocean color: Application to the northern Gulf of Mexico , 2007 .

[37]  C. Binding,et al.  The optical properties of mineral suspended particles: A review and synthesis , 2006 .

[38]  Oscar Schofield,et al.  Resolving the Impacts and Feedback of Ocean Optics on Upper Ocean Ecology , 2001 .

[39]  H. Sosik,et al.  Light absorption by phytoplankton, photosynthetic pigments and detritus in the California Current System , 1995 .

[40]  Dariusz Stramski,et al.  Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe , 2003 .

[41]  Eurico J. D'Sa,et al.  Short-term Influences on Suspended Particulate Matter Distribution in the Northern Gulf of Mexico: Satellite and Model Observations , 2008, Sensors.

[42]  Prieur,et al.  Analysis of variations in ocean color’ , 2000 .

[43]  Jack W. Pierce,et al.  Modeling spectral diffuse attenuation, absorption, and scattering coefficients in a turbid estuary , 1990 .

[44]  L. Harding,et al.  SeaWiFS retrievals of chlorophyll in Chesapeake Bay and the mid-Atlantic bight , 2005 .

[45]  N. Walker,et al.  Relationships among satellite chlorophylla, river inputs, and hypoxia on the Louisiana Continental shelf, Gulf of Mexico , 2006 .

[46]  Timothy J. Smyth,et al.  Inherent optical properties of the Irish Sea and their effect on satellite primary production algorithms , 2005 .

[47]  Louis Legendre,et al.  Variations in the specific absorption coefficient for natural phytoplankton assemblages: Impact on estimates of primary production , 1993 .

[48]  L. Harding,et al.  Bio-Optical and Remote Sensing Observations in Chesapeake Bay. Chapter 7 , 2003 .

[49]  Eurico D'Sa,et al.  Colored dissolved organic matter in coastal waters influenced by the Atchafalaya River, USA: effects of an algal bloom , 2008 .

[50]  A. Gitelson,et al.  Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands , 2005 .

[51]  J. Parslow,et al.  Properties of light absorption in a highly coloured estuarine system in south-east Australia which is prone to blooms of the toxic dinoflagellate Gymnodinium catenatum , 2004 .

[52]  Marcel Babin,et al.  Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (case 1) waters: Analysis and implications for bio-optical models , 1998 .

[53]  Douglas L. Rickman,et al.  Impact of Cold-Front Passages on Geomorphic Evolution and Sediment Dynamics of the Complex Louisiana Coast , 1987 .

[54]  G. Ferrari,et al.  Geo-chemical and optical characterizations of suspended matter in European coastal waters , 2003 .

[55]  Richard P. Stumpf,et al.  MONITORING KARENIA BREVIS BLOOMS IN THE GULF OF MEXICO USING SATELLITE OCEAN COLOR IMAGERY AND OTHER DATA , 2003 .

[56]  F. Muller‐Karger,et al.  Interpretation of the Coastal Zone Color Scanner Signature of the Orinoco River Plume , 1994 .

[57]  D. Bowers,et al.  Absorption spectra of inorganic particles in the Irish Sea and their relevance to remote sensing of chlorophyll , 1996 .

[58]  L. Prieur,et al.  An optical classification of coastal and oceanic waters based on the specific spectral absorption curves of phytoplankton pigments, dissolved organic matter, and other particulate materials1 , 1981 .

[59]  Richard W. Gould,et al.  Colored Dissolved Organic Matter in the Coastal Ocean: An Optical Tool for Coastal Zone Environmental Assessment & Management , 2004 .

[60]  M. Perry,et al.  Modeling in situ phytoplankton absorption from total absorption spectra in productive inland marine waters , 1989 .

[61]  R. Gould,et al.  Statistical models for sediment/detritus and dissolved absorption coefficients in coastal waters of the northern Gulf of Mexico , 2008 .

[62]  Maria Tzortziou,et al.  Remote sensing reflectance and inherent optical properties in the mid Chesapeake Bay , 2007 .

[63]  M. Kahru,et al.  Spectral reflectance and absorption of a massive red tide off southern California , 1998 .

[64]  K. Ruddick,et al.  Optical remote sensing of chlorophyll a in case 2 waters by use of an adaptive two-band algorithm with optimal error properties. , 2001, Applied optics.

[65]  N. Walker,et al.  Satellite assessment of Mississippi River plume variability: Causes and predictability , 1996 .

[66]  J. Cullen,et al.  A semi-analytical model of the influence of phytoplankton community structure on the relationship between light attenuation and ocean color , 1999 .

[67]  Menghua Wang,et al.  Remote Sensing of Inherent Optical Properties : Fundamentals , 2009 .