Algorithm development for predicting biodiversity based on phytoplanktonabsorption

Continental Shelf Research

Volumn 55, Issue , 2013, Pages 17-28

  Moisan, Tiffany A H ^a   Moisan, John R ^a   Linkswiler, Matthew A ^a   Steinhardt, Rachel A ^a  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Algorithm; Gulf of Maine; Mid Atlantic Bight; Oceanography; Phytoplankton; Phytoplankton functional type

Indexed keywords

ALGORITHM; BIOMASS; CARBON CYCLE; CHLOROPHYLL A; DATA SET; MARINE ECOSYSTEM; NUMERICAL MODEL; OCEAN COLOR; PHYTOPLANKTON; PIGMENT; REMOTE SENSING; SATELLITE IMAGERY;

ATLANTIC OCEAN; GULF OF MAINE; MIDDLE ATLANTIC BIGHT;

EID: 84873622175     PISSN: 02784343     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csr.2012.12.011     Document Type: Article

References (79)

1. Aiken J, Fishwick JR, Lavender SJ, Barlow R, Moore G, Sessions H., et al. Validation of MERIS reflectance and chlorophyll during the BENCAL cruise October, 2002: preliminary validation of new products for phytoplankton functional types and photosynthetic parameters. International Journal of Remote Sensing 2007, 28:497-516.
2. Babin M, Morel A, Fournier-Sicre V, Fell F, Stramski D. Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration. Limnology and Oceanography 2003, 48:843-859.
3. Balch W, Kilpatrick KA, Holligan PM, Trees C. The 1991 coccolithophore bloom in the central north Atlantic I-Optical properties and factors affecting their distribution. Limnology and Oceanography 1996, 41:1669-1683.
4. Berner T, Wyman K, Falkowski PG. Photoadaptation and the "package effect" in Dunaliella tertiolecta (Chlorophyceae). Journal of Physcology 1989, 25:70-78.
5. Bidigare RR, Ondrusek ME, Morrow JH, Kiefer DA. In vivo Absorption Properties of Algal Pigments. Ocean Optics X 1990, 1302:290-302. SPIE.
6. Bouman HA, Platt T, Sathyendranath S, Li WKW, Stuart V, Fuentes-Yaco C, Maass H, Horne EPW, Ulloa O, Lutz V. Temperature as indicator of optical properties and community phytoplankton: implications for remote sensing. Marine Ecology Progress Series 2003, 258:19-38.
7. Boyce DG, Lewis MR, Worm B Global phytoplankton decline over the past century. Nature 2010, 466:591-596.
8. Bricaud A, Kolber Z, Falkowski PG. Nitrogen- and irradiance-dependent variations of the maximum quantum yield of carbon fixation in eutrophic, mesotrophic and oligotrophic marine systems. Deep-Sea Research 1996, 43:1241-1272.
9. Bricaud A, Morel A, Babin M, Allali K, Claustre H. Variations of light absorption by suspended particles with chlorophyll a concentrations in oceanic ~Case 1waters: analysis and implications for bio-optical models. Journal of Geophysical Research 1998, 103:31,033-31,044.
10. Bricaud A, Claustre H, Ras J, Oubelkheir K. Natural variability of phytoplankton absorption in oceanic waters: influence of the size structure of algal populations. Journal of Geophysical Research 2004, 109:C11011. 10.1029/2004JC002419.
11. Brown CW, Podestá GP. Remote sensing of coccolithophore blooms in the Western South Atlantic Ocean. Remote Sensing of Environment 1997, 60:83-91.
12. Cermeño P, Dutkiewicz S, Harris RP, Follows M, Schofield O, Falkowski PG The role of nutricline depth in regulating the ocean carbon cycle. Proceedings of the National Academy of Sciences USA 2008, 105:20344-20349.
13. Ciotti AM, Lewis MR, Cullen JJ. Assessment of the relationships between dominant cell size in nahiral phytoplankton communities and spectral shape of the absorption coefficient. Limnology and Oceanography 2002, 47:404-417.
14. Ciotti AM, Bricaud A. 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. Limnology and Oceanography: Methods 2006, 4:237-253.
15. Duysens LNM The flattening of the absorption spectrum of suspensions, as compared to that of solutions. Biochimica et Biophysica Acta 1956, 19:1.
16. Edwards M. Regional climate change and harmful algal blooms in the northeast Atlantic. Limnology and Oceanography 2006, 51:820-829.
17. Falkowski PG, Raven JA Aquatic Photosynthesis 1997, Blackwell Science, Malden, MA, 375 pp.
18. Fischlin A, Midgley GF, Price JT, Leemans R, Gopal B, Turley C, Rounsevell MDA, Dube OP, Tarazona J, Velichko AA. Ecosystems, their properties, goods, and services. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate 2007, 211-272. Cambridge University Press, Cambridge. M.L. Change, O.F. Parry, J.P. Canziani, P.J. Palutikof, van der Linden, C.E. Hanson (Eds.).
19. Garver SA, Siegel DA, Mitchell BG. Variability in near surface particulate absorption spectra: what can a satellite ocean color imager see?. Limnology and Oceanography 1994, 39:1349-1367.
20. Gordon HR, Morel AY. Remote assessment of ocean color for interpretation of satellite visible imagery: a review. Research supported by the Centre National de la Recherche Scientifique, Centre National d'Etudes Spatiales, and Centre National pour l'Exploitation des Oceans. In: Lecture Notes on Coastal and Estuarine Studies 1983, vol. 4. Springer-Verlag, New York and Berlin, 118 pp.
21. Hiebert KL. 1980. A Comparison of Software Which Solves Systems of Nonlinear Equations, Report No. SAND 80-0181, Sandia National Laboratory, Albuquerque, NM.
22. Hirata T, Aiken J, Hardman-Mountford N, Smyth TJ, Barlow RG. An absorption model to determine phytoplankton size classes from satellite ocean colour. Remote Sensing of Environment 2008, 112:3153-3159.
23. Hoepfner N, Sathyendranath S. Effect of pigment composition on absorption properties of phyoplankton. Marine ecology Progress Series 1992, 73:11-23.
24. Hoge FE, Vodacek A, Blough NV. Inherent optical properties of the ocean: retrieval of the absorption coefficient of chromophoric dissolved organic matter from fluorescence measurements. Limnology and Oceanography 1993, 38:1394-1402.
25. Hoge FE, Swift RN, Yungel JK. Oceanic radiance model development and validation: application of airborne active-passive ocean color spectral measurements. Applied Optics 1995, 34:3468-3476.
26. Hoge FE, Wright CW, Lyon PE, Swift RN, Yungel JK. Inherent optical properties imagery of the western North Atlantic Ocean: horizontal spatial variability of the upper mixed layer. Journal of Geophysical Research 2001, 106(C12):31,129-31,138.
27. Hooker SB, Maritorena S, Zibordi G, and McLean S. 2001a. In: Hooker, S.B., Firestone, E.R. (Eds.), Results of the Second SeaWiFS Data Analysis Round-Robin, March 2000 (DARR-00). NASA Tech. Memo. 2001-206892, vol. 15, NASA Goddard Space Flight Center, Greenbelt, Maryland, 71 pp.
28. Hooker SB, Morrow JH, Brown JW, Firestone ER. 2011b. The 2010 AOP Workshop Summary Report. NASA/TM-2011-215871, 18 pp.
29. Hu C, Cannizzaro J, Carder KL, Muller-Karger FE, Hardy R. Remote detection of Trichodesmium blooms in optically complex coastal waters: examples with MODIS full-spectral data. Remote Sensing of Environment 2010, 114:2048-2058.
30. Iglesias-Rodriguez MD, Halloran PR, Rickaby REM, Hall IR, Colmenero-Hidalgo E, Gittins JR, Green DRH, Tyrrell T, Gibbs SJ, Dassow P, von, Rehm E, Armbrust EV, Boessenkool KP. Science 2008, 320:336-340. 10.1126/science.1154122.
31. Johnsen G, Nelson NB, Jovine RVM, Prézelin BB Chromoprotein- and pigmentdependent modeling of spectral light absorption of two dinoflagellates, Prorocentrum minimum and Heterocapsa pygmaea. Marine Ecology Progress Series 1994, 114:245-258.
32. Kishino M, Takahashi M, Okami N, Ichimura S. Estimation of spectral absorption coefficients of phytoplankton in the sea. Bulletin of Marine Science 1985, 37:634-642.
33. Kostadinov TS, Siegel DA, Maritorena S, Guillocheau N. Ocean color observations and modeling for an optically complex site: Santa Barbara Channel, California, USA. Journal of Geophysical Research 2007, 114:C09015. 10.1029/2009JC005303.
34. Kostadinov TS, Siegel DA, Maritorena S. Retrieval of the particle size distribution from satellite ocean color observations. Journal of Geophysical Research 2009, 114(C9):148-227.
35. Latasa M. Improving estimations of phytoplankton class abundances using CHEMTAX. Marine Ecology Progress Series 2007, 329:13-21.
36. Lawson, C., Hanson, R., 1974. Solving Least-Squares Problems. Prentice-Hall.
37. Lee ZP, Carder KL. Absorption spectrum of phytoplankton pigments derived from hyperspectral remote-sensing reflectance. Remote Sensing of Environment 2004, 89:361-368.
38. Levenberg K. A method for the solution of certain problems in least squares. Quarterly of Applied Mathematics 1944, 2:164-168.
39. Li WKW, Glen Harrison W, Head EJH Coherent assembly of phytoplankton communities in diverse temperate ocean ecosystems. Proceedings of the Royal Society of London 2006, 273:1953-1960.
40. Longhurst AR. Ecological Geography of the Sea (2) 2007, Academic Press, USA, 542 pp.
41. Mackey MD, Mackey DJ, Higgins HW, Wright SW. CHEMTAX - a program for estimating class abundances from chemical markers: application to HPLC measurements of phytoplankton. Marine Ecology Progress Series 1996, 144:265-283.
42. Margalef R. Life-forms of phytoplankton as survival alternatives in an unstable environment. Oceanologica Acta 1978, 1:493-509.
43. Marquardt DW. An algorithm for least squares estimations of parameters. Journal of the Society for Industrial and Applied Mathematics 1963, 11:431-441.
44. Martin S. An Introduction to Ocean Remote Sensing 2004, Cambridge University Press, Cambridge, UK, 426 pp.
45. McClain C. A decade of satellite ocean color observations. Annual Review of Marine Science 2009, 1:19-42.
46. Miller RL, Del Castillo CE, McKee BA. Remote Sensing of Coastal Aquatic Environments: Technologies, Techniques and Applications: in: Remote Sensing and Digital Image Processing, vol. 7 2005, Dordrecht, Springer, The Netherlands, 345 pp.
47. Mitchell BG. Algorithms for determining the absorption coefficient of aquatic particulatesusing the quantitative filter technique (QFT). Ocean Optics X. Proceedings of SPIE 1990, 1302:137-148. Int. Soc. Opt. Eng., Bellingham, WA.
48. Mitchell, B.G., Bricaud A., et al.. 2000. Determination of spectral absorption coefficients of particles, dissolved material and phytoplankton for discrete water samples. In: Fargion, G.S., Mueller, J.L. (Eds.), Ocean Optics Protocols for Satellite Ocean Color Sensor Validation. NASA/TM-2000-209966/Rev2, pp.125-153.
49. Mobley, CD., 1994. Light and Water. Academic Press, 592 pp.
50. Moisan TA, Mitchell BG. Photophysiological acclimation of Phaeocystis antarctic Karsten under light limitation. Limnology and Oceanography 1999, 44:247-258.
51. Moisan TA, Mitchell BG. UV absorption by mycosporine-like amino acids in Phaeocystis antarctica Karsten induced by photosynthetically available radiation. Marine Biology 2001, 138(1):217-227.
52. Moisan JR, Moisan TA, Abbott MR. Modeling the effects of temperature on the maximum growth rates of phytoplankton growth. Ecological Modelling 2002, 153:197-215.
53. Moisan TA, Ellisman MH, Buitenhuys CW, SosinskyG E. Differences in chloroplast ultrastructure of phaeocystis antarctica karsten in high and low light conditions. Marine Biology 2006, 149:120.
54. Tiffany A. Moisan, Patrick Neale, Joaquim Goes. 2009. In: Cursey, William T., Munger, Samuel P. (Eds.), Marine Phytoplankton (Oceanography and Ocean Engineering) , 382 pp.
55. Moisan JR, Moisan TAH, Linkswiler MA. An inverse modeling approach to estimating phytoplankton pigment concentrations from phytoplankton absorption spectra. Journal of Geophysical Research 2011, 116:C09018. 10.1029/2010JC006786.
56. Moisan, T.A.H., Sathyendranath, S., Bouman, H.A. 2012. Chapter five: Ocean color remote sensing of phytoplankton functional types. In: L. Fatayinbo (Ed.), Remote Sensing of Biomass - Principles and Applications, ISBN: 978-953-51-0313-4, pp.101-122.
57. Morel A., Prieur L. Analysis of variations in ocean color. Limnology and Oceanography 1977, 22:709-722.
58. Morel A, Bricaud A. Inherent optical properties of algal cells including picoplankton: theoretical and experimental results. Canadian Bulletin of Fisheries and Aquatic Sciences 1986, 214:521-559.
59. Mueller JL, Fargion GS, and McClain CR.2004. Ocean optics protocols for satellite ocean color sensor validation, revision 5: biogeochemical and bio-optical measurements and data analysis protocols: vols. 5and 211621. NASA Technical Memorandum, Goddard Space Flight Center. 36 pp.
60. Neale PJ, Banaszak A, Jarriel CR. Ultraviolet sunscreens in Gymnodiniumsanguineum (Dinophyceae): Mycosporine-like amino acids protect against inhibition of photosynthesis. Journal of Phycology 1998, 34:928-938.
61. Nelson NB, Prézelin BB Chromatic light effects and physiological modeling of absorption properties of Heterocapsa pygmaea (= Glenodinium sp.). Marine Ecology Progress Series 1990, 63(N1):37-46.
62. Press WH, Teukolsky SA, Vetterling WT, Flannery BP. Numerical Recipes: The Art of Scientific Computing 2007, Cambridge Univ. Press, Cambridge, UK, 1256 pp.
63. Richardson AJ, Schoeman DS. Climate impact on plankton ecosystems in the northeast Atlantic. Science 2004, 305:1609-1612.
64. Richardson LL, LeDrew E Remote sensing of aquatic coastal ecosystem processes: science and management applications. Remote Sensing and Digital Image Processing 2006, vol. 9. Springer, Dordrecht, The Netherlands, pp, 348 pp.
65. Robinson IS. Understanding the Oceans from Space: The Unique Applications of Satellite Oceanography 2010, Springer, 638 pp.
66. Sathyendranath S, Watts L, Devred E Discrimination of diatoms from other phytoplankton using ocean-colour data. Marine Ecology Progress Series 2004, 272:59-68.
67. Sathyendranath S, Stuart V, Platt T, Bouman H, Ulloa O, Maass H. Remote sensing of ocean colour: towards algorithms for retrieval of pigmentcomposition. Indian Journal of Marine Sciences 2005, 34:333-340.
68. Siegel DA. Independence and interdependencies among global ocean color properties: reassessing the bio-optical assumption. Journal of Geophysical Research 2005, 110:C07011. 10.1029/2004JC002527.
69. Stramski D, Bricaud A, Morel A. Modeling the inherent optical property of the ocean based on the detailed composition of the planktonic community. Applied Optics 2000, 40:2929-2945.
70. Striebel M, Stephan B, Stibor H. The coupling of biodiversity and productivity in phytoplankton communities: consequences for biomass stoichiometry. Ecology 2009, 90(8):2025-2031.
71. Subramaniam A, Brown CW, Hood RR, Carpenter EJ, Capone DG. Detecting trichodesmium blooms in SeaWiFS imagery. Deep Sea Research Part II: Topical Studies in Oceanography 2001, 49(1-3):107-121.
72. Taylor KE. Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research 2001, 106:7183-7192.
73. Uitz J, Claustre H, Morel A, Hooker SB. Vertical distribution of phytoplankton communities in open ocean: an assessment based on surface chlorophyll. Journal of Geophysical Research 2006, 111:C08005. 10.1029/2005JC003207.
74. Van Heukelem, Thomas C.S., Glibert, P.M. 2002. Sources of variability in chlorophyll analysis by fluorometry and high performance liquid chromatography in a SIMBIOS inter-calibration exercise. In: Fargion, G.S., McClain, C.R. (Eds.), NASA/TM-2002-02338-0.
75. Van Leeuwe M., Stefels J., Belviso, Lancelot, Verity P., Gieskes W Phaeocystis, Major Link in the Biogeochemical Cycling of Climate-Relevant Elements 2007, Springer, 330 pp.
76. Westberry TK, Siegel DA, Subramaniam A. An improved bio-opticalmodel for the remote sensing of Trichodesmium spp. blooms. Journal of Geophysical Research 2005, 110:C06012. 10.1029/2004JC002517.
77. Westberry T.K., Siegel D.A. Spatial and temporal distribution of Trichodesmium blooms in the world's oceans. Global Biogeochemical Cycles 2006, 20:GB4016. 10.1029/2005GB002673.
78. Whitmire A.L., Pegau W.S., Karp-Boss L., Boss E., Cowles T.J. Spectral backscattering properties of marine phytoplankton cultures. Optics Express 2010, 18(14):15073.
79. Wright SW, Jeffrey SW, Mantoura RFC, Llewellyn CA, Björnland T, Repeta D, Welschmeyer N. Improved HPLC method for the analysis of chlorophylls and carotenoids from marine phytoplankton. Marine Ecology Progress Series 1991, 77:183-196.