Capturing optically important constituents and properties in a marine biogeochemical and ecosystem model

Abstract. We present a numerical model of the ocean that couples a three-stream radiative transfer component with a marine biogeochemical–ecosystem component in a dynamic three-dimensional physical framework. The radiative transfer component resolves the penetration of spectral irradiance as it is absorbed and scattered within the water column. We explicitly include the effect of several optically important water constituents (different phytoplankton functional types; detrital particles; and coloured dissolved organic matter, CDOM). The model is evaluated against in situ-observed and satellite-derived products. In particular we compare to concurrently measured biogeochemical, ecosystem, and optical data along a meridional transect of the Atlantic Ocean. The simulation captures the patterns and magnitudes of these data, and estimates surface upwelling irradiance analogous to that observed by ocean colour satellite instruments. We find that incorporating the different optically important constituents explicitly and including spectral irradiance was crucial to capture the variability in the depth of the subsurface chlorophyll a (Chl a) maximum. We conduct a series of sensitivity experiments to demonstrate, globally, the relative importance of each of the water constituents, as well as the crucial feedbacks between the light field, the relative fitness of phytoplankton types, and the biogeochemistry of the ocean. CDOM has proportionally more importance at attenuating light at short wavelengths and in more productive waters, phytoplankton absorption is relatively more important at the subsurface Chl a maximum, and water molecules have the greatest contribution when concentrations of other constituents are low, such as in the oligotrophic gyres. Scattering had less effect on attenuation, but since it is important for the amount and type of upwelling irradiance, it is crucial for setting sea surface reflectance. Strikingly, sensitivity experiments in which absorption by any of the optical constituents was increased led to a decrease in the size of the oligotrophic regions of the subtropical gyres: lateral nutrient supplies were enhanced as a result of decreasing high-latitude productivity. This new model that captures bio-optical feedbacks will be important for improving our understanding of the role of light and optical constituents on ocean biogeochemistry, especially in a changing environment. Further, resolving surface upwelling irradiance will make it easier to connect to satellite-derived products in the future.

[1]  P Jeremy Werdell,et al.  Generalized ocean color inversion model for retrieving marine inherent optical properties. , 2013, Applied optics.

[2]  Kendall L. Carder,et al.  Carbon cycling in the upper waters of the Sargasso Sea: II. Numerical simulation of apparent and inherent optical properties , 1999 .

[3]  A. Morel Optical properties of pure water and pure sea water , 1974 .

[4]  Annick Bricaud,et al.  Light backscattering efficiency and related properties of some phytoplankters , 1992 .

[5]  Stephanie Dutkiewicz,et al.  Interactions of the iron and phosphorus cycles: A three‐dimensional model study , 2005 .

[6]  S. Doney,et al.  Impact of phytoplankton community size on a linked global ocean optical and ecosystem model , 2012 .

[7]  Shubha Sathyendranath,et al.  Optical backscattering is correlated with phytoplankton carbon across the Atlantic Ocean , 2013 .

[8]  E. Boss,et al.  Particulate optical scattering coefficients along an Atlantic Meridional Transect. , 2012, Optics express.

[9]  N. Mahowald,et al.  Combustion iron distribution and deposition , 2007 .

[10]  P. Falkowski,et al.  Bio‐optical properties of the marine diazotrophic cyanobacteria Trichodesmium spp. II. A reflectance model for remote sensing , 1999 .

[11]  Curtis D. Mobley,et al.  Fast light calculations for ocean ecosystem and inverse models. , 2011, Optics express.

[12]  A. Barnard,et al.  Global relationships of the inherent optical properties of the oceans , 1998 .

[13]  Kevin R. Arrigo,et al.  Impact of chromophoric dissolved organic matter on UV inhibition of primary productivity in the sea , 1996 .

[14]  Laurence A. Anderson,et al.  On the hydrogen and oxygen content of marine phytoplankton , 1995 .

[15]  W. Gregg,et al.  Skill assessment of a spectral ocean–atmosphere radiative model , 2009 .

[16]  Sallie W. Chisholm,et al.  Emergent Biogeography of Microbial Communities in a Model Ocean , 2007, Science.

[17]  O. Aumont,et al.  A global compilation of dissolved iron measurements: focus on distributions and processes in the Southern Ocean , 2011 .

[18]  D. Siegel,et al.  The global distribution and dynamics of chromophoric dissolved organic matter. , 2013, Annual review of marine science.

[19]  Colleen J. O'Brien,et al.  Global marine plankton functional type biomass distributions: coccolithophores , 2012 .

[20]  Erwan Monier,et al.  Quantifying and monetizing potential climate change policy impacts on terrestrial ecosystem carbon storage and wildfires in the United States , 2015, Climatic Change.

[21]  Stephanie Dutkiewicz,et al.  Modeling the coupling of ocean ecology and biogeochemistry , 2009 .

[22]  M. Follows,et al.  Modelling the effects of chromatic adaptation on phytoplankton community structure in the oligotrophic ocean , 2010 .

[23]  K. T. Paw,et al.  Coupling the High Complexity Land Surface Model ACASA to the Mesoscale Model WRF , 2014 .

[24]  K. Stamnes,et al.  A reliable and efficient two-stream algorithm for spherical radiative transfer: Documentation of accuracy in realistic layered media , 1995 .

[25]  P. Holligan,et al.  Phytoplankton carbon fixation chlorophyll-biomass and diagnostic pigments in the Atlantic Ocean , 2006 .

[26]  S. Levitus,et al.  World ocean atlas 2009 , 2010 .

[27]  J. Huisman,et al.  Adaptive divergence in pigment composition promotes phytoplankton biodiversity , 2004, Nature.

[28]  Paul G. Falkowski,et al.  The role of nutricline depth in regulating the ocean carbon cycle , 2008, Proceedings of the National Academy of Sciences.

[29]  R. Geider,et al.  Different strategies of photoacclimation by two strains of Emiliania huxleyi (Haptophyta) 1 , 2007 .

[30]  P. Falkowski,et al.  Nitrogen- and irradiance-dependent variations of the maximum quantum yield of carbon fixation in eutrophic, mesotrophic and oligotrophic marine systems , 1996 .

[31]  H. Gordon,et al.  Radiance-irradiance inversion algorithm for estimating the absorption and backscattering coefficients of natural waters: vertically stratified water bodies. , 1998, Applied optics.

[32]  J. Steele,et al.  The role of predation in plankton models , 1992 .

[33]  Xiaodong Zhang,et al.  Estimating scattering of pure water from density fluctuation of the refractive index. , 2009, Optics express.

[34]  D. Streets,et al.  Impacts of the Minamata convention on mercury emissions and global deposition from coal-fired power generation in Asia. , 2015, Environmental science & technology.

[35]  Stephanie Dutkiewicz,et al.  Iron, phosphorus, and nitrogen supply ratios define the biogeography of nitrogen fixation , 2013 .

[36]  K. Coale,et al.  The flux of iron from continental shelf sediments: A missing source for global budgets , 2004 .

[37]  L. A. Anderson,et al.  Database of diazotrophs in global ocean: abundance, biomass and nitrogen fixation rates , 2012 .

[38]  C. Merchant,et al.  Modeling ocean primary production: Sensitivity to spectral resolution of attenuation and absorption of light , 2008 .

[39]  W. Balch,et al.  Response of water‐leaving radiance to particulate calcite and chlorophyll a concentrations: A model for Gulf of Maine coccolithophore blooms , 1994 .

[40]  S. Dutkiewicz,et al.  Trends in the North Atlantic carbon sink: 1992–2006 , 2009 .

[41]  Jeffery R. Scott,et al.  The ocean’s role in the transient response of climate to abrupt greenhouse gas forcing , 2015, Climate Dynamics.

[42]  Sydney Levitus,et al.  World ocean atlas 2005. Vol. 4, Nutrients (phosphate, nitrate, silicate) , 2006 .

[43]  P. Falkowski,et al.  Scaling-up from nutrient physiology to the size-structure of phytoplankton communities , 2006 .

[44]  L. Stokes,et al.  The mercury game: evaluating a negotiation simulation that teaches students about science-policy interactions , 2014, Journal of Environmental Studies and Sciences.

[45]  D. Antoine,et al.  Bidirectional reflectance of oceanic waters: accounting for Raman emission and varying particle scattering phase function. , 2002, Applied optics.

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

[47]  K. Baker,et al.  Optical properties of the clearest natural waters (200-800 nm). , 1981, Applied optics.

[48]  O. Aumont,et al.  Biogeochemical impact of a model western iron source in the Pacific Equatorial Undercurrent , 2009 .

[49]  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 .

[50]  Louis I. Gordon,et al.  Oxygen solubility in seawater : better fitting equations , 1992 .

[51]  P. Utgoff,et al.  Potential Interactions Among Ocean Acidification, Coccolithophores, and the Optical Properties of Seawater , 2009 .

[52]  E. Boss,et al.  Regulation of phytoplankton carbon to chlorophyll ratio by light, nutrients and temperature in the Equatorial Pacific Ocean: a basin-scale model , 2008 .

[53]  K. Voss,et al.  Simulation of inelastic-scattering contributions to the irradiance field in the ocean: variation in Fraunhofer line depths. , 1993, Applied optics.

[54]  Lisa R. Moore,et al.  Photophysiology of the marine cyanobacterium Prochlorococcus: Ecotypic differences among cultured isolates , 1999 .

[55]  L. Balistrieri,et al.  Oceanic trace metal scavenging: the importance of particle concentration , 1988 .

[56]  Masahiko Fujii,et al.  The Value of Adding Optics to Ecosystem Models: A Case Study , 2007 .

[57]  Hugh L. MacIntyre,et al.  PHOTOACCLIMATION OF PHOTOSYNTHESIS IRRADIANCE RESPONSE CURVES AND PHOTOSYNTHETIC PIGMENTS IN MICROALGAE AND CYANOBACTERIA 1 , 2002 .

[58]  Annick Bricaud,et al.  Optical properties of diverse phytoplanktonic species: experimental results and theoretical interpretation , 1988 .

[59]  Sebastiaan A.L.M. Kooijman,et al.  Dynamic Energy and Mass Budgets in Biological Systems , 2000 .

[60]  M. Pahlow,et al.  Top-down control of marine phytoplankton diversity in a global ecosystem model , 2012 .

[61]  Stéphane Maritorena,et al.  Optimization of a semianalytical ocean color model for global-scale applications. , 2002, Applied optics.

[62]  Stephanie Dutkiewicz,et al.  On the solution of the carbonate chemistry system in ocean biogeochemistry models , 2006 .

[63]  Sergey Paltsev,et al.  Natural gas pricing reform in China: Getting closer to a market system? , 2015 .

[64]  H. Claustre,et al.  Effects of temperature, nitrogen, and light limitation on the optical properties of the marine diatom Thalassiosira pseudonana , 2002 .

[65]  W. Bissett,et al.  Ecological Simulation (EcoSim) 2.0 Technical Description , 2004 .

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

[67]  P. Xiu,et al.  Connections between physical, optical and biogeochemical processes in the Pacific Ocean , 2014 .

[68]  T. Kana,et al.  Dynamic model of phytoplankton growth and acclimation: responses of the balanced growth rate and the chlorophyll a:carbon ratio to light, nutrient-limitation and temperature , 1997 .

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

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

[71]  R. Geider,et al.  Interpretation of fast repetition rate (FRR) fluorescence: signatures of phytoplankton community structure versus physiological state , 2009 .

[72]  W. Richard,et al.  TEMPERATURE AND PHYTOPLANKTON GROWTH IN THE SEA , 1972 .

[73]  Janet W. Campbell,et al.  Comparison of algorithms for estimating ocean primary production from surface chlorophyll, temperature, and irradiance , 2002 .

[74]  Trevor Platt,et al.  Spectral effects in bio-optical control on the ocean system , 2007 .

[75]  S. Dutkiewicz,et al.  Printer-friendly Version Interactive Discussion , 2022 .

[76]  R. Moriarty,et al.  Distribution of mesozooplankton biomass in the global ocean , 2012 .

[77]  C. Law,et al.  Open-ocean carbon monoxide photoproduction , 2006 .

[78]  P. Falkowski,et al.  Photosynthetic rates derived from satellite‐based chlorophyll concentration , 1997 .

[79]  A. Morel Are the empirical relationships describing the bio-optical properties of case 1 waters consistent and internally compatible? , 2009 .

[80]  H. Gordon,et al.  Radiance-irradiance inversion algorithm for estimating the absorption and backscattering coefficients of natural waters: homogeneous waters. , 1997, Applied optics.

[81]  Richard J. Geider,et al.  A dynamic regulatory model of phytoplanktonic acclimation to light, nutrients, and temperature , 1998 .

[82]  H. Claustre,et al.  Prochlorococcus and Synechococcus: A comparative study of their optical properties in relation to their size and pigmentation , 1993 .

[83]  G. Tarran,et al.  Latitudinal changes in the standing stocks of nano- and picoeukaryotic phytoplankton in the Atlantic Ocean , 2006 .

[84]  C. S. Holling The components of prédation as revealed by a study of small-mammal prédation of the European pine sawfly. , 1959 .

[85]  L. Perelman,et al.  A finite-volume, incompressible Navier Stokes model for studies of the ocean on parallel computers , 1997 .

[86]  H. Claustre,et al.  Optical properties of the “clearest” natural waters , 2007 .

[87]  Edward A. Boyle,et al.  Decoupling of iron and phosphate in the global ocean , 2005 .

[88]  Franz J. Weissing,et al.  Competition for Nutrients and Light in a Mixed Water Column: A Theoretical Analysis , 1995, The American Naturalist.

[89]  C. Dupouy,et al.  Sources of spatial variability in light absorbing components along an equatorial transect from 165°E to 150°W , 2003 .

[90]  T. Dickey,et al.  Partitioning in situ total spectral absorption by use of moored spectral absorption-attenuation meters. , 1999, Applied optics.

[91]  R. Wanninkhof Relationship between wind speed and gas exchange over the ocean , 1992 .

[92]  André Morel,et al.  The most oligotrophic subtropical zones of the global ocean: similarities and differences in terms of chlorophyll and yellow substance , 2010 .

[93]  M. Follows,et al.  Understanding predicted shifts in diazotroph biogeography using resource competition theory , 2014 .

[94]  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 .

[95]  Dariusz Stramski,et al.  The role of seawater constituents in light backscattering in the ocean , 2004 .

[96]  F. Lacan,et al.  Iron isotopes in the seawater of the equatorial Pacific Ocean: New constraints for the oceanic iron cycle , 2011 .

[97]  Hugh L. MacIntyre,et al.  Evaluation of biophysical and optical determinations of light absorption by photosystem II in phytoplankton , 2004 .

[98]  C. McKay,et al.  Rapid calculation of radiative heating rates and photodissociation rates in inhomogeneous multiple scattering atmospheres , 1989 .

[99]  N. Jerlov Influence of Suspended and Dissolved Matter on the Transparency of Sea Water , 1953 .

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

[101]  E. Fry,et al.  Absorption spectrum (380-700 nm) of pure water. II. Integrating cavity measurements. , 1997, Applied optics.

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

[103]  Guillaume Dirberg,et al.  Bio-optical properties of the marine cyanobacteria Trichodesmium spp. , 2008 .

[104]  S. Gorshkov,et al.  World ocean atlas , 1976 .

[105]  C. Law,et al.  Variability of chromophoric organic matter in surface waters of the Atlantic Ocean , 2006 .

[106]  Michele Scardi,et al.  A comparison of global estimates of marine primary production from ocean color , 2006 .

[107]  Watson W. Gregg,et al.  Modeling Coccolithophores in the Global Oceans , 2007 .

[108]  A. Bricaud,et al.  Modeling the inherent optical properties of the ocean based on the detailed composition of the planktonic community. , 2001, Applied optics.

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

[110]  E. Boyle,et al.  Analogous nutrient limitations in unicellular diazotrophs and Prochlorococcus in the South Pacific Ocean , 2011, The ISME Journal.

[111]  P. M. Holligan,et al.  Prokaryoplankton standing stocks in oligotrophic gyre and equatorial provinces of the Atlantic Ocean: Evaluation of inter-annual variability , 2006 .

[112]  K. Baker,et al.  Evidence for phytoplankton succession and chromatic adaptation in the Sargasso Sea during spring 1985 , 1990 .

[113]  E. Boyle,et al.  Modeling the global ocean iron cycle , 2004 .

[114]  Marcel Babin,et al.  Light absorption properties and absorption budget of Southeast Pacific waters , 2010 .

[115]  G. Tarran,et al.  Picoplanktonic community structure on an Atlantic transect from 50°N to 50°S , 1998 .

[116]  Dale A. Kiefer,et al.  In-vivo absorption properties of algal pigments , 1990, Defense, Security, and Sensing.

[117]  Katja Fennel,et al.  Subsurface maxima of phytoplankton and chlorophyll: Steady‐state solutions from a simple model , 2003 .

[118]  M. Follows,et al.  Distribution of diverse nitrogen fixers in the global ocean , 2010 .

[119]  W. D. Wightman Philosophical Transactions of the Royal Society , 1961, Nature.

[120]  R. Arnone,et al.  Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters. , 2002, Applied optics.

[121]  J. Kindle,et al.  Euphotic zone depth: Its derivation and implication to ocean-color remote sensing , 2007 .

[122]  Curtis D. Mobley,et al.  Fast and accurate irradiance calculations for ecosystem models , 2009 .

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

[124]  Stephanie Dutkiewicz,et al.  Interconnection of nitrogen fixers and iron in the Pacific Ocean: Theory and numerical simulations , 2012 .

[125]  Bernard Quéguiner,et al.  A global diatom database – abundance, biovolume and biomass in the world ocean , 2012 .

[126]  E. Aas,et al.  Two-stream irradiance model for deep waters. , 1987, Applied optics.

[127]  Dariusz Stramski,et al.  Optical characterization of the oceanic unicellular cyanobacterium Synechococcus grown under a day‐night cycle in natural irradiance , 1995 .

[128]  P. Falkowski,et al.  PHOTOADAPTATION AND THE “PACKAGE” EFFECT IN DUNALIELLA TERTIOLECTA (CHLOROPHYCEAE) 1 , 1989 .

[129]  Dariusz Stramski,et al.  A model based on stacked-constraints approach for partitioning the light absorption coefficient of seawater into phytoplankton and non-phytoplankton components , 2013 .

[130]  Scott C. Doney,et al.  Evaluation of ocean carbon cycle models with data‐based metrics , 2004 .

[131]  Robert Frouin,et al.  Seasonal and inter‐annual variability of particulate organic matter in the global ocean , 2002 .

[132]  Carl Wunsch,et al.  Practical global oceanic state estimation , 2007 .

[133]  André Morel,et al.  Optics of heterotrophic nanoflagellates and ciliates : a tentative assessment of their scattering role in oceanic waters compared to those of bacterial and algal cells , 1991 .

[134]  Janet W. Campbell,et al.  Are the world's oceans optically different? , 2011 .

[135]  B. Osborne,et al.  Light and Photosynthesis in Aquatic Ecosystems. , 1985 .