Importance of resuspended sediment dynamics for the phytoplankton spring bloom in a coastal marine ecosystem

Journal of Sea Research

Volumn 62, Issue 4, 2009, Pages 214-228

  Tian, Tian ^a   Merico, Agostino ^a   Su, Jian ^a,b   Staneva, Joanna ^a   Wiltshire, Karen ^c   Wirtz, Kai ^a  

^a INSTITUTE OF MATERIALS RESEARCH   (Germany)

^b UNIVERSITY OF HAMBURG   (Germany)

^c ALFRED WEGENER INSTITUTE FOR POLAR AND MARINE RESEARCH   (Germany)

Author keywords

Ecosystem Model; Light Attenuation; Phytoplankton Spring Bloom; Remote Sensing; SPM

Indexed keywords

AUTOTROPHY; CHLOROPHYLL A; COASTAL WATER; COASTAL ZONE; ECOSYSTEM MODELING; PHYTOPLANKTON; PRIMARY PRODUCTION; REMOTE SENSING; SEDIMENT TRANSPORT; SPATIAL VARIATION; SUSPENDED PARTICULATE MATTER; TEMPORAL VARIATION; WATER DEPTH;

CENTRAL EUROPE; EURASIA; EUROPE; FRISIAN ISLANDS; GERMANY; HELGOLAND; NORTH FRISIAN ISLANDS; SCHLESWIG-HOLSTEIN;

EID: 70449731049     PISSN: 13851101     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.seares.2009.04.001     Document Type: Article

References (94)

1. Allen J., Holt J., Blackford J., and Proctor R. Error quantification of a high-resolution coupled hydrodynamic-ecosystem coastal-ocean model: part 2. Chlorophyll-a, nutrients and SPM. J. Mar. Syst. 68 3-4 (2007) 381-404
2. Arndt S., Vanderborght J., and Regnier P. Diatom growth response to physical forcing in a macrotidal estuary: coupling hydrodynamics, sediment transport, and biogeochemistry. J. Geophys. Res. 112 C5 (2007) c05045
3. Boon A., and Duineveld G. Phytopigments and fatty acids as molecular markers for the quality of near-bottom particulate organic matter in the North Sea. J. Sea Res. 35 4 (1996) 279-291
4. Bowers D., Evans D., Thomas D., Ellis K., and Williams P. Interpreting the colour of an estuary. Estuar. Coast. Shelf Sci. 59 (2004) 13-20
5. Boyer T., Antonov J., Garcia H., Johnson D., Locamini R., Mishonov A., Pitcher M., Baranova O., and Smolyar I. World ocean database 2005. Tech. Rep., US Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service (2006)
6. Brockmann C., and Dippner J. Tidal correction of hydrographic measurements. Ocean Dyn. 40 6 (1987) 241-260
7. Brockmann U., Raabe T., Hesse K., Viehweger K., Rick S., Starke A., Fabiszisky B., TopÇu D., and Heller R. Seasonal budgets of the nutrient elements N and P at the surface of the German Bight during winter 1996, spring 1995, and summer 1994. Ocean Dyn. 51 2 (1999) 267-291
8. Brockmann U.H., Raabe T., Nagel K., and Haarich M. Measurement strategy of prisma: design and realisation. Mar. Ecol., Prog. Ser. 156 (1997) 245-254
9. Burchard H., and Bolding K. GETM - a general estuarine transport model. Scientific Documentation. Tech Rep EUR 20253 EN European Commission (2002) 157
10. Burchard H., Flöser G., Staneva J.V., Badewien T.H., and Riethmüller R. Impact of density gradients on net sediment transport into the Wadden Sea. J. Phys. Oceanogr. 38 (2008) 566-587
11. Byun D.S., and Cho Y.K. Estimation of the PAR irradiance ratio and its variability under clear-sky conditions at Ieodo in the East China Sea. Ocean Sci. J. 41 (2006) 235-244
12. Byun D.S., Wang X.H., Zavatarelli M., and Cho Y.K. Effects of resuspended sediments and vertical mixing on phytoplankton spring bloom dynamics in a tidal estuarine embayment. J. Mar. Syst. 67 1-2 (2007) 102-118
13. Chen C., Ji R., Zheng L., Zhu M., and Rawson M. Influences of physical processes on the ecosystem in Jiaozhou Bay: a coupled physical and biological model experiment. J. Geophys. Res. 104 12 (1999) 29925-29949
14. Cloern J.E. Turbidity as a control on phytoplankton biomass and productivity in estuaries. Cont. Shelf Res. 7 11-12 (1987) 1367-1381
15. Cloern J. The relative importance of light and nutrient limitation of phytoplankton growth: a simple index of coastal ecosystem sensitivity to nutrient enrichment. Aquat. Ecol. 33 1 (1999) 3-15
16. Cloern J., Grenz C., and Vidergar-Lucas L. An empirical model of the phytoplankton chlorophyll: carbon ratio-the conversion factor between productivity and growth rate. Limnol. Oceanogr. 40 7 (1995) 1313-1321
17. Colijn F., and Cadée G. Is phytoplankton growth in the Wadden Sea light or nitrogen limited?. J. Sea Res. 49 2 (2003) 83-93
18. Desmit X., Vanderborght J.P., Regnier P., and Wollast R. Control of phytoplankton production by physical forcing in a strongly tidal, well-mixed estuary. Biogeoscience 2 2 (2005) 205-218
19. Devlin M.J., Barry J., Mills D., Gowen R., Foden J., Sivyer D., and Tett P. Relationships between suspended particulate material, light attenuation and secchi depth in UK marine waters. Estuar. Coast. Shelf Sci. 79 (2008) 429-439
20. Dippner J.W. A frontal-resolving model for the German Bight. Continental Shelf Res. 13 1 (1993) 49-66
21. Doerffer R., and Brockmann C. MERIS Case 2 Regional Processor User Manual-Version 1.1 (2006). http://www.brockmann-consult.de/beam/plugins.html URL http://www.brockmann-consult.de/beam/plugins.html
22. Doerffer R., and Schiller H. Algorithm Theoretical Basis Document (ATBD): MERIS Lake Water Algorithm for BEAM (2007). http://www.brockmann-consult.de/beam/ URL http://www.brockmann-consult.de/beam/
23. Dring M.J., and Lüning K. Influence of spring-neap tidal cycles on the light available for photosynthesis by benthic marine plants. Mar. Ecol., Prog. Ser. 104 1-2 (1994) 131-137
24. Ebenhöh W., Baretta-Bekker J.G., and Baretta J.W. The primary production module in the marine ecosystem model ERSEM II, with emphasis on the light forcing. J. Sea Res. 38 3-4 (1997) 173-193
25. Fasham M., Sarmiento J., Slater R., Ducklow H., and Williams R. Ecosystem behavior at Bermuda Station "S" and ocean weather station "India": A general circulation model and observational analysis. Glob. Biogeochem. Cycles 7 2 (1993) 379-416
26. Franke H., Buchholz F., and Wiltshire K. Ecological long-term research at Helgoland (German Bight, North Sea): retrospect and prospect-an introduction. Helgol. Mar. Res. 58 4 (2004) 223-229
27. Gallegos C., Correll D., and Pierce J. Modeling spectral diffuse attenuation, absorption, and scattering coefficients in a turbid estuary. Limnol. Oceanogr. 35 7 (1990) 1486-1502
28. Gayer G., Dick S., Pleskachevsky A., and Rosenthal W. Numerical modeling of suspended matter transport in the North Sea. Ocean Dyn. 56 1 (2006) 62-77
29. Gohin F., Loyer S., Lunven M., Labry C., Froidefond J., Delmas D., Huret M., and Herbland A. Satellite-derived parameters for biological modelling in coastal waters: illustration over the eastern continental shelf of the Bay of Biscay. Remote Sens. Environ. 95 1 (2005) 29-46
30. Gons H., Rijkeboer M., and Ruddick K. Effect of a waveband shift on chlorophyll retrieval from MERIS imagery of inland and coastal waters. J. Plankton Res. 27 1 (2005) 125-127
31. Huisman J., van Oostveen P., and Weissing F. Critical depth and critical turbulence: two different mechanisms for the development of phytoplankton blooms. Limnol. Oceanogr. 44 7 (1999) 1781-1787
32. Iriarte A., and Purdie D. Factors controlling the timing of major spring bloom events in an UK south coast estuary. Estuar. Coast. Shelf Sci. 61 4 (2004) 679-690
33. Jerlov N. Optical Oceanography (1968), Elsevier Publishing Co, Amsterdam 194 pp.
34. Joint I., and Pomroy A. Phytoplankton biomass and production in the southern North Sea. Mar. Ecol. Progr. Ser. 99 (1993) 169-182
35. Joseph J. Untersuchungen über ober-und unterlichtmessungen im meere und über ihren zusammenhang mit durchsichtigkeitsmessungen. Ocean Dyn. 3 5 (1950) 324-335
36. Kirk J. Light and Photosynthesis in Aquatic Ecosystems (1994), Cambridge University Press 509 pp.
37. Kratzer S., Hakansson B., and Sahlin C. Assessing secchi and photic zone depth in the Baltic Sea from satellite data. Ambio 32 8 (2003) 577-585
38. Krivtsov V., Howarth M., Jones S., Souza A., and Jago C. Monitoring and modelling of the Irish Sea and Liverpool Bay: an overview and an SPM case study. Ecol. Model. 212 1-2 (2008) 37-52
39. Kromkamp J., Peene J., Rijswijk P., Sandee A., and Goosen N. Nutrients, light and primary production by phytoplankton and microphytobenthos in the eutrophic, turbid Westerschelde estuary (The Netherlands). Hydrobiologia 311 1 (1995) 9-19
40. Lacroix G., Ruddick K., Park Y., Gypens N., and Lancelot C. Validation of the 3D biogeochemical model MIRO&CO with field nutrient and phytoplankton data and MERIS-derived surface chlorophyll a images. J. Mar. Syst. 64 1-4 (2007) 66-88
41. Lorenzen C. Extinction of light in the ocean by phytoplankton. ICES J. Mar. Sci. 34 2 (1972) 262-267
42. Losa S., Kivman G., and Ryabchenko V. Weak constraint parameter estimation for a simple ocean ecosystem model: what can we learn about the model and data?. J. Mar. Syst. 45 1-2 (2004) 1-20
43. Lucas L.V., and Cloern J.E. Effects of tidal shallowing and deepening on phytoplankton production dynamics: a modeling study. Estuaries 25 4A (2002) 497-507
44. Lucas L.V., Koseff J.R., Cloern J.E., Monismith S.G., and Thompson J.K. Processes governing phytoplankton blooms in estuaries. I: the local production-loss balance. Mar. Ecol., Prog. Ser. 187 (1999) 1-15
45. Lucas L., Koseff J., Monismith S., and Thompson J. Shallow water processes govern system-wide phytoplankton bloom dynamics: a modeling study. J. Mar. Syst. 75 (2009) 70-86
46. Lunau M., Lemke A., Dellwig O., and Simon M. Physical and biogeochemical controls of microaggregate dynamics in a tidally affected coastal ecosystem. Limnol. Oceanogr. 51 2 (2006) 847-859
47. Luyten P., Jones J., Proctor R., Tabor A., Tett P., and Wild-Allen K. Coherens a coupled hydrodynamical-ecological model for regional and shelf seas: user documentation. MUMM Report, Management Unit of the Mathematical Models of the North Sea (1999) 914 pp.
48. May C., Koseff J., Lucas L., Cloern J., and Schoellhamer D. Effects of spatial and temporal variability of turbidity on phytoplankton blooms. Mar. Ecol., Prog. Ser. 254 (2003) 111-128
49. Meinke I., von Storch H., and Feser F. A validation of the cloud parameterization in the regional model sn-remo. J. Geophys. Res. 109 (2004) D13205
50. Moll A. Phosphate and plankton dynamics during a drift experiment in the German Bight: simulation of phosphorus-related plankton production. Mar. Ecol., Prog. Ser. 156 (1997) 289-297
51. Moll A. Regional distribution of primary production in the North Sea simulated by a three-dimensional model. J. Mar. Syst. 16 1-2 (1998) 151-170
52. Murray A.G. The use of simple models in the design and calibration of a dynamic 2D model of a semi-enclosed Australian Bay. Ecol. Model. 136 1 (2001) 15-30
53. Murray A.G., and Parslow J.S. The analysis of alternative formulations in a simple model of a coastal ecosystem. Ecol. Model. 119 2-3 (1999) 149-166
54. Muylaert K., Tackx M., and Vyverman W. Phytoplankton growth rates in the freshwater tidal reaches of the Schelde estuary (Belgium) estimated using a simple light-limited primary production model. Hydrobiologia 540 (2005) 127-140
55. Nelson D., and Smith Jr. W. Sverdrup revisited: critical depths, maximum chlorophyll levels, and the control of Southern Ocean productivity by the irradiance-mixing regime. Limnol. Oceanogr. 36 8 (1991) 1650-1661
56. Oguz T., Ducklow H., Purcell J., and Malanotte-Rizzoli P. Modeling the response of top-down control exerted by gelatinous carnivores on the Black Sea pelagic food web. J. Geophys. Res. 106 (2001) 4543-4564
57. Pahlow M. Linking chlorophyll-nutrient dynamics to the Redfield N: C ratio with a model of optimal phytoplankton growth. Mar. Ecol., Prog. Ser. 287 (2005) 33-43
58. Pahlow M., Vézina A., Casault B., Maass H., Malloch L., Wright D., and Lu Y. Adaptive model of plankton dynamics for the North Atlantic. Prog. Oceanogr. 76 2 (2008) 151-191
59. Peters S., Eleveld M., Pasterkamp R., van der Woerd H., Devolder M., Jans S., Park Y., Ruddick K., Block T., Brockmann C., Doerffer R., Krasemann H., Röttgers R., Schönfeld W., Jørgensen P., Tilstone G., Martinez-Vicente V., Moore G., Sørensen K., Høkedal J., Johnsen T., Lømsland E., and Aas E. Atlas of chlorophyll-a concentration for the North Sea based on MERIS imagery of 2003. IVM report (2005), Vrije Universiteit, Amsterdam 117 pp.
60. Platt T., Bird D., and Sathyendranath S. Critical depth and marine primary production. Proc. Biol. Sci. 246 1317 (1991) 205-217
61. Pohlmann T., Raabe T., Doerffer R., Beddig S., Brockmann U., Dick S., Engel M., Hesse K., König P., Mayer B., et al. Combined analysis of field and model data: a case study of the phosphate dynamics in the German Bight in summer 1994. Ocean Dyn. 51 2 (1999) 331-353
62. Popova E. Non-universal sensitivity of a robust ecosystem model of the ocean upper mixed layer. Ocean Model. 109 (1995) 2-5
63. Postma H. Sediment transport and sedimentation. Chem. Biochem. Estuar. (1982) 153-186
64. Puls W., van Beusekom J., Brockmann U., Doerffer R., Hentschke U., König P., Murphy D., Mayer B., Müller A., Pohlmann T., Reimer A., Schmidt-Nia R., and S. J. Spm concentrations in the German Bight: comparison between a model simulation and measurements. Ocean Dyn. 51 2/3 (1999) 221-244
65. Radach G., and Moll A. Estimation of the variability of production by simulating annual cycles of phytoplankton in the central North Sea. Prog. Oceanogr. 31 4 (1993) 339-419
66. Rast M., Bezy J., and Bruzzi S. The ESA medium resolution imaging spectrometer MERIS a review of the instrument and its mission. Int. J. Remote Sens. 20 9 (1999) 1681-1702
67. Ruardij P., Van Haren H., and Ridderinkhof H. The impact of thermal stratification on phytoplankton and nutrient dynamics in shelf seas: a model study. J. Sea Res. 38 3-4 (1997) 311-331
68. Schiller H., and Doerffer R. Neural network for emulation of an inverse model operational derivation of case II water properties from MERIS data. Int. J. Remote Sens. 20 9 (1999) 1735-1746
69. Schrum C. Thermohaline stratification and instabilities at tidal mixing fronts: results of an eddy resolving model for the German Bight. Cont. Shelf Res. 17 6 (1997) 689-716
70. Schrum C., Konig P., Michaelsen K., Niemeier U., and Pohlmann T. Meteorological and oceanographic situation in the German Bight from 23 to 29 April 1991. Mar. Ecol., Prog. Ser. 156 (1997) 263-273
71. Smetacek V., and Passow U. Spring bloom initiation and Sverdrup critical-depth model. Limnol. Oceanogr. 35 1 (1990) 228-234
72. Stanev E., Brink-Spalink G., and Wolff J. Sediment dynamics in tidally dominated environments controlled by transport and turbulence: a case study for the east Frisian Wadden Sea. J. Geophys. Res. 112 C 4 (2007) c04018
73. Staneva, J., Stanev, E., Wolff, J.-O., Badewien, T., Reuter, R., Flemming, B., Bartholomä, A., Bolding, K., 2009. Hydrodynamics and sediment dynamics in the German Bight. A focus on observations and numerical modelling in the east Frisian Wadden Sea. Cont. Shelf Res. 29 (1), 302-319.
74. Steele J., and Henderson E. The role of predation in plankton models. J. Plankton Res. 14 1 (1992) 157-172
75. Sündermann J., Hesse K., and Beddig S. Coastal mass and energy fluxes in the southeastern North Sea. Ocean Dyn. 51 2 (1999) 113-132
76. Sverdrup H. On conditions for the vernal blooming of phytoplankton. ICES J. Mar. Sci. 18 3 (1953) 287
77. Sverdrup H., Johnson M., and Fleming R. The oceans, their physics, chemistry, and general biology (1942), Prentice-Hall, New York 1087 pp.
78. Taylor K.E. Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res. A 106 D7 (2001) 7183-7192
79. Taylor A., Watson A., Ainsworth M., Robertson J., and Turner D. A modeling investigation of the role of phytoplankton in the balance of carbon at the surface of the North Atlantic. Glob. Biogeochem. Cycles 5 2 (1991) 151-171
80. Tian T., Wei H., Su J., and Chung C. Simulations of annual cycle of phytoplankton production and the utilization of nitrogen in the Yellow Sea. J. Oceanogr. 61 2 (2005) 343-357
81. Tillmann U., Hesse K., and Colijn F. Planktonic primary production in the German Wadden Sea. J. Plankton Res. 22 7 (2000) 1253-1276
82. Townsend D., Cammen L., Holligan P., Campbell D., and Pettigrew N. Causes and consequences of variability in the timing of spring phytoplankton blooms. Deep-Sea Res. I 41 5 (1994) 747-765
83. Van Beusekom, J., Fock, H., de Jong, F., Diehl-Christiansen, S., Christiansen, B., 2001. Wadden Sea Specific Eutrophication Criteria. Wadden Sea Ecosystem No. 14. Common Wadden Sea Secretariat. Wilhelmshaven, Germany.
84. Van Duin E.H.S., Blom G., Los F.J., Maffione R., Zimmerman R., Cerco C.F., Dortch M., and Best E.P.H. Modeling underwater light climate in relation to sedimentation, resuspension, water quality and autotrophic growth. Hydrobiologia 444 1-3 (2001) 25-42
85. Van Raaphorst W., Philippart C., Smit J., Dijkstra F., and Malschaert J. Distribution of suspended particulate matter in the North Sea as inferred from NOAA/AVHRR reflectance images and in situ observations. J. Sea Res. 39 3-4 (1998) 197-215
86. Visser M., de Ruijter W., and Postma L. The distribution of suspended matter in the dutch coastal zone. J. Sea Res. 27 2 (1991) 127-143
87. Wei H., Sun J., Moll A., and Zhao L. Phytoplankton dynamics in the Bohai Sea observations and modelling. J. Mar. Syst. 44 3-4 (2004) 233-251
88. Wild-Allen K., Lane A., and Tett P. Phytoplankton, sediment and optical observations in netherlands coastal water in spring. J. Sea Res. 47 3-4 (2002) 303-315
89. Wiltshire K. Time-series and project data of the Biological Institute on Helgoland (2004). http://www.pangaea.de/Projects/BAH/data.html URL http://www.pangaea.de/Projects/BAH/data.html
90. Wiltshire K., and Dürselen C. Revision and quality analyses of the Helgoland Reede long-term phytoplankton data archive. Helgol. Mar. Res. 58 4 (2004) 252-268
91. Wiltshire K., Malzahn A., Wirtz K., Greve W., Janisch S., Mangelsdorf P., Manly B., and Boersma M. Resilience of North Sea phytoplankton spring bloom dynamics: an analysis of long-term data at Helgoland roads. Limnol. Oceanogr. 53 4 (2008) 1294-1302
92. Wirtz K.W., and Wiltshire K. Long-term shifts in marine ecosystem functioning detected by inverse modeling of the Helgoland roads time-series. J. Mar. Syst. 56 3-4 (2005) 262-282
93. Xu J., and Hood R. Modeling biogeochemical cycles in Chesapeake Bay with a coupled physical-biological model. Estuar. Coast. Shelf Sci. 69 1-2 (2006) 19-46
94. Xu J., Hood R., and Chao S. A simple empirical optical model for simulating light attenuation variability in a partially mixed estuary. Estuar. Coast. 28 4 (2005) 572-580