Mapping nitrate in the global ocean using remotely sensed sea surface temperature

[1] Nitrogen is the most broadly limiting factor for marine phytoplankton on ecological timescales. Nitrate, as the most oxidized inorganic species, plays a significant role in nitrogen availability based on nutrient flux to the euphotic zone from deeper waters, and is a major determinant of new production. Increased new production relates to higher trophic level abundance and to carbon dioxide drawdown from the atmosphere. The present work is the first stage in the development of a technique to generate a scaled index of nitrate availability in the surface waters of the global ocean using satellite-derived temperature data. The technique currently involves a fixed matrix of nitrate depletion temperatures (NDT) and remotely-sensed sea surface temperature (SST) from the monthly-averaged AVHRR Pathfinder series. The magnitude of the difference between these two temperatures at a given location indicates the degree of nitrate presence or absence. Graded monthly nitrate presence/absence maps over a 10-year period were created based on the size of the difference between these two temperatures. A 10-year average of these differences exhibits major nitrate distribution features similar to those observed in maps based on National Oceanic Data Center archived measurements. In contrast, monthly nitrate maps provide a unique and dynamic representation of nitrate availability in the global ocean. This nutrient monitoring capability based on remotely sensed data can contribute to the estimation of new production in the global ocean, improving management of various world fisheries and improving estimation of the atmospheric draw down of carbon dioxide, a major greenhouse gas.

[1]  Annick Bricaud,et al.  Modeling new production in upwelling centers: A case study of modeling new production from remotely sensed temperature and color , 1989 .

[2]  William J. Emery,et al.  On the bulk‐skin temperature difference and its impact on satellite remote sensing of sea surface temperature , 1990 .

[3]  W. G. Harrison Regeneration of Nutrients , 1992 .

[4]  Louis A. Codispoti,et al.  The 1994-1996 Arabian Sea Expedition : An integrated, interdisciplinary investigation of the response of the northwestern Indian Ocean to monsoonal forcing , 1998 .

[5]  C. Garside,et al.  Euphotic-zone nutrient algorithms for the NABE and EqPac study sites , 1995 .

[6]  H. Ducklow,et al.  Introduction to the JGOFS North Atlantic bloom experiment , 1993 .

[7]  K. Carder,et al.  Semianalytic Moderate‐Resolution Imaging Spectrometer algorithms for chlorophyll a and absorption with bio‐optical domains based on nitrate‐depletion temperatures , 1999 .

[8]  F. Rassoulzadegan,et al.  Plankton and nutrient dynamics in marine waters , 1995 .

[9]  N. Loneragan,et al.  Seasonal and annual variation in abundance of postlarval and juvenile banana prawns Penaeus merguiensis and environmental variation in two estuaries in tropical northeastern Australia:a six year study , 1998 .

[10]  James J. Simpson,et al.  Alternative Parameterizations of Downward Irradiance and Their Dynamical Significance , 1981 .

[11]  M. A. Goodberlet,et al.  Microwave Remote Sensing of Coastal Zone Salinity , 1997 .

[12]  M. P. M. Reddy,et al.  Descriptive Physical Oceanography , 1990 .

[13]  K. Johnson,et al.  A model of the iron cycle in the ocean , 2000 .

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

[15]  Daniel Kamykowski,et al.  Predicting plant nutrient concentrations from temperature and sigma-t in the upper kilometer of the world ocean , 1986 .

[16]  S. Chisholm The iron hypothesis: Basic research meets environmental policy , 1995 .

[17]  Timothy R. Parsons,et al.  Biological oceanography: an introduction. Second edition , 1997 .

[18]  P. Tchernia,et al.  Descriptive Regional Oceanography , 1979 .

[19]  D. Hutchins,et al.  Iron-limited diatom growth and Si:N uptake ratios in a coastal upwelling regime , 1998, Nature.

[20]  T. Platt,et al.  Modelling new production in the northwest Indian Ocean region , 1999 .

[21]  D. Kamykowski Some Perspectives on Ecological Modeling Focused on Upper Ocean Processes , 1986 .

[22]  J. Goering,et al.  UPTAKE OF NEW AND REGENERATED FORMS OF NITROGEN IN PRIMARY PRODUCTIVITY1 , 1967 .

[23]  D. Kamykowski,et al.  Dynamic global patterns of nitrate, phosphate, silicate, and iron availability and phytoplankton community composition from remote sensing data , 2002 .

[24]  Louis Legendre,et al.  Potential utilization of temperature in estimating primary production from remote sensing data in coastal and estuarine waters , 1991 .

[25]  Farooq Azam,et al.  Microbial Control of Oceanic Carbon Flux: The Plot Thickens , 1998, Science.

[26]  S. Levitus,et al.  Distribution of nitrate, phosphate and silicate in the world oceans , 1993 .

[27]  Daniel Kamykowski,et al.  A preliminary biophysical model of the relationship between temperature and plant nutrients in the upper ocean , 1987 .

[28]  Pascal Morin,et al.  Estimation of nitrate flux in a tidal front from satellite‐derived temperature data , 1993 .

[29]  A. R. Curtis,et al.  Standard Mathematical Tables , 1971, The Mathematical Gazette.

[30]  P. Tréguer,et al.  Factors controlling silicon and nitrogen biogeochemical cycles in high nutrient, low chlorophyll systems (the Southern Ocean and the North Pacific): Comparison with a mesotrophic system (the North Atlantic) , 1999 .

[31]  A. C. Redfield The biological control of chemical factors in the environment. , 1960, Science progress.

[32]  D. Anderson,et al.  Detection and quantification of alkaline phosphatase in single cells of phosphorus-starved marine phytoplankton , 1998 .

[33]  P. Falkowski,et al.  Biogeochemical Controls and Feedbacks on Ocean Primary Production , 1998, Science.

[34]  B. Peterson,et al.  Particulate organic matter flux and planktonic new production in the deep ocean , 1979, Nature.

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

[36]  C. Paulson,et al.  Irradiance Measurements in the Upper Ocean , 1977 .

[37]  de Henricus Baar,et al.  von Liebig's law of the minimum and plankton ecology (1899–1991) , 1994 .

[38]  H. Waldron,et al.  Nitrate supply and potential new production in the Benguela upwelling system , 1992 .

[39]  K. Denman,et al.  A coupled 1-D biological/physical model of the northeast subarctic Pacific Ocean with iron limitation , 1999 .

[40]  Timothy R. Parsons,et al.  A manual of chemical and biological methods for seawater analysis , 1984 .

[41]  J. Strickland The Ecology of the plankton off La Jolla, California,: In the period April through September, 1967 , 1970 .

[42]  E. Traganza,et al.  Satellite observations of a nutrient upwelling off the coast of California , 1980 .

[43]  John Wright,et al.  Seawater : its composition, properties and behaviour , 1995 .

[44]  T. Platt,et al.  Estimation of new production in the ocean by compound remote sensing , 1991, Nature.

[45]  Shigenobu Takeda,et al.  Influence of iron availability on nutrient consumption ratio of diatoms in oceanic waters , 1998, Nature.

[46]  K. Wolter,et al.  Measuring the strength of ENSO events: How does 1997/98 rank? , 1998 .