Progress and Challenges in Coupled Hydrodynamic-Ecological Estuarine Modeling
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  • 作者:Neil K. Ganju ; Mark J. Brush ; Brenda Rashleigh…
  • 关键词:Numerical modeling ; Hydrodynamics ; Ecological modeling ; Ecosystem modeling ; Skill assessment
  • 刊名:Estuaries and Coasts
  • 出版年:2016
  • 出版时间:March 2016
  • 年:2016
  • 卷:39
  • 期:2
  • 页码:311-332
  • 全文大小:931 KB
  • 参考文献:Alexandre A., J. Silva, T.J. Bouma, and R. Santos. 2008. Inorganic nitrogen uptake kinetics and whole plant nitrogen budget in the seagrass Zostera noltii. Journal of Experimental Marine Biology and Ecology 401: 7–12.CrossRef
    Allen J., J.T. Holt, J. Blackford, and R. Proctor. 2007. Error quantification of a high-resolution coupled hydrodynamic-ecosystem coastal-ocean model: part 2. Chlorophyll-a, nutrients and SPM. Journal of Marine Systems 68: 381–404.CrossRef
    Ambrose R.B. Jr., T.A. Wool, and J.L. Martin. 1993. The water quality analysis simulation program, WASP5.. In Part A: model documentation. US EPA Environmental Research Laboratory: Athens.
    Amoudry, L. O., and A. J. Souza. 2011. Deterministic coastal morphological and sediment transport modeling: a review and discussion. Reviews of Geophysics, 49, RG2002, doi: 10.​1029/​2010RG000341 .
    Anderson T.R. 2005. Plankton functional type modeling: running before we can walk?. Journal of Plankton Research 27(11): 1073–1081.
    Baird D., and R.E. Ulanowicz. 1989. The seasonal dynamics of the Chesapeake Bay ecosystem. Ecological Monographs 59(4): 329–364.CrossRef
    Banas N.S., B.M. Hickey, J.A. Newton, and J.L. Ruesink. 2007. Tidal exchange, bivalve grazing, and patterns of primary production in Willapa Bay, Washington, USA. Marine Ecology Progress Series 341: 123–139.CrossRef
    Baretta J., and P. Ruardij. 1988. Tidal flat estuaries: simulation and analysis of the Ems estuary. Berlin: Springer-Verlag.CrossRef
    Baretta-Bekker J.G. 1995. European regional seas ecosystem model-I. Netherlands Journal of Sea Research 33(3-4).
    Baretta-Bekker J.G., and J.W. Baretta. 1997. European regional seas ecosystem model II. Journal of Sea Research 38(3-4).
    Bearlin A.R., M.A. Burgman, and H.M. Regan. 1999. A stochastic model for seagrass (Zostera muelleri) in Port Phillip Bay, Victoria, Australia. Ecological Modeling 118: 131–148.CrossRef
    Bertino L., G. Evensen, and H. Wackernagel. 2002. Combining geostatistics and Kalman filtering for data assimilation in an estuarine system. Inverse Problems 18(1). doi:10.​1088/​0266-5611/​18/​1/​301 .
    Bidegain G., J.F. Bárcena, A. García, and J.A. Juanes. 2013. LARVAHS: predicting clam larval dispersal and recruitment using habitat suitability-based particle tracking model. Ecological Modeling 268: 78–92.CrossRef
    Billen G., and J. Garnier. 1997. The Phison river plume: coastal eutrophication in response to changes in land use and water management in the watershed. Aquatic Microbial Ecology 13: 3–17.CrossRef
    Blocken B., and C. Gualtieri. 2012. Ten iterative steps for model development and evaluation applied to computational fluid dynamics for environmental fluid mechanics. Environmental Modeling and Software 33: 1–22.CrossRef
    Boynton W.R., J.D. Hagy, J.C. Cornwell, W.M. Kemp, S.M. Greene, M.S. Owens, J.E. Baker, and R.K. Larsen. 2008. Nutrient budgets and management actions in the Patuxent estuary, Maryland. Estuaries and Coasts 31: 623–651.CrossRef
    Brady D.C., J.M. Testa, D.M. Di Toro, W.R. Boynton, and W.M. Kemp. 2013. Sediment flux modeling: calibration and application for coastal systems. Estuarine, Coastal and Shelf Science 117: 107–124.CrossRef
    Brier G.W. 1950. Verification of forecasts expressed in terms of probability. Monthly Weather Review 78(1): 1–3.CrossRef
    Brown C.D., and H.T. Davis. 2006. Receiver operating characteristics curves and related decision measures: a tutorial. Chemometrics and Intelligent Laboratory Systems 80: 24–38.CrossRef
    Bruggeman J., and K. Bolding. 2014. A general framework for aquatic biogeochemical models. Environmental Modeling & Software 61: 249–265.CrossRef
    Brush M.J.. 2012. Development and application of watershed and estuarine simulation models for the new river estuary.. In Chapter 6 in. final technical report to the Defense Coastal/Estuarine Research Program (DCERP). RTI International: Research Triangle Park.
    Brush M.J. 2014. Coastal systems ecology and modeling program online models. Gloucester Point: Available at: www.​vims.​edu/​research/​departments/​bio/​programs/​semp/​models/​index.​php Virginia Institute of Marine Science.
    Brush M.J., J.W. Brawley, S.W. Nixon, and J.N. Kremer. 2002. Modeling phytoplankton production: problems with the Eppley curve and an empirical alternative. Marine Ecology Progress Series 238: 31–45.CrossRef
    Brush M.J., and L.A. Harris. 2010. Advances in modeling estuarine and coastal ecosystems: approaches, validation, and applications (introduction). Ecological Modeling 221(7): 965–968.CrossRef
    Brush M.J., and L.A. Harris. 2015. Ecological modeling. In Encyclopedia of Estuaries, ed. M.J. Kennish. Heidelberg: Springer.
    Brush M.J., and S.W. Nixon. 2010. Modeling the role of macroalgae in a shallow sub-estuary of Narragansett Nay, RI (USA). Ecological Modeling 221(7): 1065–1079.CrossRef
    Burchard H., and H. Rennau. 2008. Comparative quantification of physically and numerically induced mixing in ocean models. Ocean Modeling 20(3): 293–311.CrossRef
    Burnham, K. P., and D.R. Anderson. 2002. Model selection and multimodel inference: a practical information-theoretic approach. Second edition, Springer, 488 pp.
    Canal-Vergés P., M. Potthoff, F.T. Hansen, N. Holmboe, E.K. Rasmussen, and M.R. Flindt. 2014. Eelgrass re-establishment in shallow estuaries is affected by drifting macroalgae—evaluated by agent-based modeling. Ecological Modeling 272: 116–128.CrossRef
    Carr, J.A., P. D’Odorico, K.J. McGlathery, and P.L. Wiberg. 2012. Stability and resilience of seagrass meadows to seasonal and interannual dynamics and environmental stress. Journal of Geophysical Research: Biogeosciences 117(G1), G01007.
    Cerco C.F., and K. Moore. 2001. System-wide submerged aquatic vegetation model for Chesapeake Bay. Estuaries 24: 522–534.CrossRef
    Cerco C.F., and M.R. Noel. 2013. Twenty-one-year simulation of Chesapeake Bay water quality using the CE-QUAL-ICM eutrophication model. Journal of the American Water Resources Association 49(5): 1119–1133.
    Cerco C.F., and T.M. Cole. 1994. Three-dimensional eutrophication model of Chesapeake Bay. , Vol. I: Main Report. Technical report EL-94-4. Vicksburg: Waterways Experiment Station, US Army Corps of Engineers.
    Cerco C.F., and M.R. Noel. 2004. The 2002 Chesapeake Bay eutrophication model.. In Report 903-R-04-004. Annapolis: Chesapeake Bay Program Office, US Environmental Protection Agency.
    Cerco C.F., and M.R. Noel. 2007. Can oyster restoration reverse cultural eutrophication in Chesapeake Bay?. Estuaries and Coasts 30(2): 331–343.CrossRef
    Chen, S. N., L.P. Sanford, E.W. Koch, F. Shi., and E.W. North. 2007. A nearshore model to investigate the effects of seagrass bed geometry on wave attenuation and suspended sediment transport. Estuaries and Coasts, 30(2), 296-310.CrossRef
    Cheng R.T., V. Casulli, and J.W. Gartner. 1993. Tidal, residual, intertidal mudflat (TRIM) model and its applications to San Francisco Bay, California. Estuarine, Coastal and Shelf Science 36(3): 235–280.CrossRef
    Cheung W.W., C. Close, V. Lam, R. Watson, and D. Pauly. 2008. Application of macroecological theory to predict effects of climate change on global fisheries potential. Marine Ecology Progress Series 365: 187–197.CrossRef
    Clark JS., S. Carpenter, M. Barber, S. Collins, A. Dobson, J.A. Foley, D.M. Lodge, M. Pascual, R. Jr. Pielke, W. Pizer, C. Pringle, W.V. Reid, K.A. Rose, O. Sala, W.H. Schlesinger, D.H. Wall, and D. Wear. 2001. Ecological forecasts: an emerging imperative. Science 293: 657–60.
    Cloern J.E. 1991. Tidal stirring and phytoplankton bloom dynamics in an estuary. Journal of Marine Research 49(1): 203–221.CrossRef
    Cole B.E., and J.E. Cloern. 1987. An empirical model for estimating phytoplankton productivity in estuaries. Marine Ecology Progress Series 36: 299–305.CrossRef
    Cornillon P., J. Gallagher, and T. Sgouros. 2003. OPeNDAP: accessing data in a distributed, heterogeneous environment. Data Science Journal 2: 164–174.CrossRef
    Cossarini G., P.F.J. Lermusiaux, and C. Solidoro. 2009. Lagoon of Venice ecosystem: seasonal dynamics and environmental guidance with uncertainty analyses and error subspace data assimilation. Journal of Geophysical Research 114. doi:10.​1029/​2008JC005080 .
    Culberson S.D., C.B. Harrison, C. Enright, and M.L. Nobriga. 2004. Sensitivity of larval fish transport to location, timing, and behavior using a particle tracking model in Suisun Marsh, California. American Fisheries Society Symposium 39: 257–268.
    Dalyander P.S., and C.F. Cerco. 2010. Integration of a fish bioenergetics model into a spatially explicit water quality model: application to menhaden in Chesapeake Bay. Ecological Modelling 221: 1922–1933.CrossRef
    Davies A.M., and J. Lawrence. 1995. Modeling the effect of wave-current interaction on the three-dimensional wind-driven circulation of the eastern Irish Sea. Journal of Physical Oceanography 25(1): 29–45.CrossRef
    De Boer W.F. 2007. Seagrass–sediment interactions, positive feedbacks and critical thresholds for occurrence: a review. Hydrobiologia 591(1): 5–24.CrossRef
    Del Barrio P., N.K. Ganju, A.L. Aretxabaleta, M. Hayn, A. Garcia, and R.W. Howarth. 2014. Modeling future scenarios of light attenuation and potential seagrass success in a eutrophic estuary. Estuarine Coastal and Shelf Science 149: 13–23.CrossRef
    Denman K.L. 2003. Modelling planktonic ecosystems: parameterizing complexity. Progress in Oceanography 57(3): 429–452.CrossRef
    Di Gennaro B., D. Reed, C. Swanson, L. Hastings, Z. Hymanson, M. Healey, S. Siegel, S. Cantrell, and B. Herbold. 2012. Using conceptual models in ecosystem restoration decision making: an example from the Sacramento-San Joaquin River Delta, California. San Francisco Estuary and Watershed Science 10(3): 1–15.
    Dillon P.J., and F.H. Rigler. 1974. The phosphorus-chlorophyll relationship in lakes. Limnology and Oceanography 19: 767–773.CrossRef
    Di Toro D.M. 2001. Sediment flux modeling. New York: Wiley-Interscience.
    Di Toro D.M., D.J. O’Connor, and R.V. Thomann. 1971. A dynamic model of the phytoplankton population in the Sacramento-San Joaquin Delta. In Nonequilibrium systems in natural water chemistry, advances in chemistry series 106, ed. J.D. Hem, 131–180. Washington: American Chemical Society.CrossRef
    Duarte C.M., T. Sintes, and N. Marba. 2013. Assessing the CO2 capture potential of seagrass restoration projects. Journal of Applied Ecology 50: 1341–1349. doi:10.​1111/​1365-2664.​12155 .CrossRef
    Duarte C.M., J.S. Amthor, D.L. DeAngelis, L.A. Joyce, R.J. Maranger, M.L. Pace, J. Pastor, and S.W. Running. 2003. The limits to models in ecology. In Models in ecosystem science, eds. C.D. Canham, J.J. Cole, and W.K. Lauenroth, 437–451. Princeton: Princeton University Press.
    Ehrich M.K., and L.A. Harris. 2015. A review of existing eastern oyster filtration rate models. Ecological Modelling 297: 201–212.CrossRef
    Evans M.A., and D. Scavia. 2011. Forecasting hypoxia in the Chesapeake Bay and Gulf of Mexico: model accuracy, precision, and sensitivity to ecosystem change. Environmental Research Letter 6(015001): 11.
    Evans M.R., V. Grimm, K. Johst, T. Knuuttila, R. de Langhe, C.M. Lessells, M. Merz, M.A. O’Mallery, S.H. Orzack, M. Weisberg, D.J. Wilkinson, O. Wolkenhauer, and T.G. Benton. 2013. Do simple models lead to generality in ecology?. Trends in Ecology and Evolution 28(10): 578–583.CrossRef
    Ewing H., K. Hogan, F. Keesing, H. Bugmann, A. Berkowitz, L. Gross, J. Oris, and J. Wright. 2003. The role of modeling in undergraduate education. In The role of models in ecosystem science, Cary Conference IX, eds. J. Cole, and C. Canham, 413–427. NJ: Princeton Univ. Press.
    Fasham M.J.R., H.W. Ducklow, and S.M. McKelvie. 1990. A nitrogen-based model of plankton dynamics in the oceanic mixed layer. Journal of Marine Research 48(3): 591–639.CrossRef
    Fennel K., R. Hetland, Y. Feng, and S. DiMarco. 2011. A coupled physical-biological model of the northern Gulf of Mexico shelf: model description, validation and analysis of phytoplankton variability. Biogeosciences 8: 1881–1899.CrossRef
    Festa J.F., and D.V. Hansen. 1976. A two-dimensional numerical model of estuarine circulation: the effects of altering depth and river discharge. Estuarine and Coastal Marine Science 4(3): 309–323.CrossRef
    Fitzpatrick J.J. 2009. Assessing skill of estuarine and coastal eutrophication models for water quality managers. Journal of Marine System 76: 195–211.CrossRef
    Flynn K.J. 2005. Castles built on sand: dysfunctionality in plankton models and the inadequacy of dialogue between biologists and modellers. Journal of Plankton Research 27(12): 1205–1210.CrossRef
    Forrest D.R., R.D. Hetland, and S.F. Di Marco. 2011. Multivariate statistical regression models of the areal extent of hypoxia over the Texas-Louisiana continental shelf. Environment Research Letters 6(045002): 10.
    Friedrichs, M.A., J.A. Dusenberry, L.A. Anderson, R.A. Armstrong, F. Chai, J.R. Christian, S.C. Doney, J. Dunne, M. Fujii, R. Hood, D.J. McGillicuddy Jr., J.K. Moore, M. Schartau, Y.H. Spitz and J.D. Wiggert. 2007. Assessment of skill and portability in regional marine biogeochemical models: Role of multiple planktonic groups. Journal of Geophysical Research: Oceans (1978–2012), 112(C8).
    Friedrichs M.A., R.R. Hood, and J.D. Wiggert. 2006. Ecosystem model complexity versus physical forcing: quantification of their relative impact with assimilated Arabian Sea data. Deep Sea Research Part II: Topical Studies in Oceanography 53(5): 576–600.CrossRef
    Frolov S., A.M. Baptista, T.K. Leen, Z. Lu, and R. van der Merwe. 2009. Fast data assimilation using a nonlinear Kalman filter and a model surrogate: an application to the Columbia River estuary. Dynamics of Atmospheres and Oceans 48(1): 16–45.CrossRef
    Fulton E.A., A.D.M. Smith, and C.R. Johnson. 2003. Effect of complexity on marine ecosystem models. Marine Ecology Progress Series 253: 1–16.CrossRef
    Fulton E.A., A.D.M. Smith, and C.R. Johnson. 2004. Effects of spatial resolution on the performance and interpretation of marine ecosystem models. Ecological Modelling 176(1-2): 27–42.CrossRef
    Ganju N.K., M. Hayn, S.N. Chen, R.W. Howarth, P.J. Dickhudt, A.L. Aretxabaleta, and R. Marino. 2012. Tidal and groundwater fluxes to a shallow, microtidal estuary: constraining inputs through field observations and hydrodynamic modeling. Estuaries and Coasts 35(5): 1285–1298.CrossRef
    Ganju, N. K., S.J. Lentz, A.R. Kirincich, and J.T. Farrar. 2011. Complex mean circulation over the inner shelf south of Martha’s Vineyard revealed by observations and a high-resolution model. Journal of Geophysical Research: Oceans (1978–2012), 116(C10).
    Ganju N.K., and C.R. Sherwood. 2010. Effect of roughness formulation on the performance of a coupled wave, hydrodynamic, and sediment transport model. Ocean Modeling 33: 299–313.CrossRef
    Geyer W.R., and P. MacCready. 2014. The estuarine circulation. Annual Review of Fluid Mechanics 46(1): 175.CrossRef
    Giblin A.E., and J.J. Vallino. 2003. The role of models in addressing coastal eutrophication. In Models in ecosystem science, eds. C.D. Canham, J.J. Cole, and W.K. Lauenroth, 327–343. Princeton: Princeton University Press.
    Giusti E., S. Marsili-Libellia, M. Renzib, and S. Focardi. 2010. Assessment of spatial distribution of submerged vegetation in the Orbetello lagoon by means of a mathematical model. Ecological Modeling 221: 1484–1493.CrossRef
    Grangeré K., S. Lefebvre, A. Ménesguen, and F. Jouenne. 2009. On the interest of using field primary production data to calibrate phytoplankton rate processes in ecosystem models. Estuarine, Coastal and Shelf Science 81: 169–178.CrossRef
    Haefner J.W. 2005. Modeling biological systems: principles and applications. New York: Springer.
    Hagy J.D., and M.C. Murrell. 2007. Susceptibility of a northern Gulf of Mexico estuary to hypoxia: an analysis using box models. Estuarine, Coastal and Shelf Science 74: 239–253.CrossRef
    Hansen D.V., and M. Rattray. 1965. Gravitational circulation in straits and estuaries. Journal of Marine Research 23: 104–122.
    Harding L.W. Jr., A. Magnuson, and M.E. Mallonee. 2005. SeaWiFS retrievals of chlorophyll in Chesapeake Bay and the mid-Atlantic bight. Estuarine, Coastal and Shelf Science 62(1): 75–94.CrossRef
    Harris G.P., S.W. Bigelow, J.J. Cole, H. Cyr, L.L. Janus, A.P. Kinzig, J.F. Kitchell, G.E. Likens, K.H. Reckhow, D. Scavia, D. Soto, L.M. Talbot, and P.H. Templer. 2003. The role of models in ecosystem management. In Models in ecosystem science, eds. C.D. Canham, J.J. Cole, and W.K. Lauenroth, 299–307. Princeton University Press: Princeton.
    Harris L.A., and M.J. Brush. 2012. Bridging the gap between empirical and mechanistic models of aquatic primary production with the metabolic theory of ecology: an example from estuarine ecosystems. Ecological Modelling 233: 83–89.CrossRef
    Harris L.A., C.M. Duarte, and S.W. Nixon. 2006. Allometric laws and prediction in estuarine and coastal ecology. Estuaries and Coasts 29(2): 340–344.CrossRef
    Harte J. 2002. Toward a synthesis of the Newtonian and Darwinian worldviews. Physics Today 55: 29–34.CrossRef
    Hinrichsen, R., and E.E. Holmes. 2009. Using multivariate state-space models to study spatial structure and dynamics. In R. S. Cantrell, C. Cosner, and S. Ruan, editors, Spatial ecology. CRC/Chapman Hall.
    Hochard S., C. Pinazo, C. Grenz, J.L.B. Evans, and O. Pringault. 2010. Impact of microphytobenthos on the sediment biogeochemical cycles: a modeling approach. Ecological Modelling 221(13): 1687–1701.CrossRef
    Hong B., and D.P. Swaney. 2013. Regional Nutrient Management (ReNuMa) Model, Version 2.2.1 User’s Manual. Ithaca: Cornell University.
    Hood R.R., E.A. Laws, R.A. Armstrong, N.R. Bates, C.W. Brown, C.A. Carlson, F. Chai, S.C. Doney, P.G. Falkowski, R.A. Feely, M.A.M. Friedrichs, M.R. Landry, J.K. Moore, D.M. Nelson, T.L. Richardson, B. Salihoglu, M. Schartau, D.A. Toole, and J.D. Wiggert. 2006. Pelagic functional group modeling: progress, challenges and prospects. Deep Sea Research Part II: Topical Studies in Oceanography 53(5): 459–512.CrossRef
    HydroQual Inc. 1987. A steady-state coupled hydrodynamic/water quality model of the eutrophication and anoxia process in Chesapeake Bay. Mahwah: HydroQual Inc..
    HydroQual, Inc. 1991. Water quality modeling analysis of hypoxia in Long Island Sound. Mahwah: HydroQual Inc..
    HydroQual and Normandeau Associates. 1995. A Water Quality Model for Massachusetts and Cape Cod Bays: Calibration of the Bays Eutrophication Model (BEM). Report to the Massachusetts Water Resources Authority. Mahwah: HydroQual, Inc., and Bedford, NH: Normandeau Associates, Inc.
    Integration and Application Network (IAN). 2014. Chesapeake Bay Summer Forecast: 2014. Integration and application network, University of Maryland Center for Environmental Science, Cambridge, MD. Available at: http://​ian.​umces.​edu/​ecocheck/​forecast/​chesapeake-bay/​2014 ; accessed October 2014.
    Jay D.A., W.R. Geyer, and D.R. Montgomery. 2000. An ecological perspective on estuarine classification. In Estuarine science: a synthetic approach to research and practice, ed. J.E. Hobbie, 149–176. Washington: Island Press.
    Jolliff J.K., J.C. Kindle, I. Shulman, B. Penta, M.A.M. Friedrichs, R. Helber, and R.A. Arnone. 2009. Summary diagrams for coupled hydrodynamic-ecosystem model skill assessment. Journal of Marine Systems 76(1-2): 64–82.CrossRef
    Kalman R.E. 1960. A new approach to linear filtering and prediction problems. Journal of Basic Engineering 82(1): 35–45. doi:10.​1115/​1.​3662552 .CrossRef
    Kellogg M.L., M.J. Brush, E.W. North, and Y. Lee. 2014. A model for estimating the TMDL-related benefits of oyster reef restoration in Harris Creek. MD. Final report: National Fish and Wildlife Foundation and Oyster Recovery Partnership, Inc..
    Kelly (Letcher) R.A., A.J. Jakeman, O. Barreteau, M.E. Borsuk, S. ElSawah, S.H. Hamilton, H.J. Henriksen, S. Kuikka, H.R. Maier, A.E. Rizzoli, H. van Delden, and A.A. Voinov. 2013. Selecting among five common modelling approaches for integrated environmental assessment and management. Environmental Modelling & Software 47: 159–181.CrossRef
    Khangaonkar T., B. Sackmann, W. Long, T. Mohamedali, and M. Roberts. 2012. Simulation of annual biogeochemical cycles of nutrient balance, phytoplankton bloom (s), and DO in Puget sound using an unstructured grid model. Ocean Dynamics 62(9): 1353–1379.CrossRef
    Koseff, J.R., J.K. Holen, S.G. Monismith, and J.E. Cloern. 1993. Coupled effects of vertical mixing and benthic grazing on phytoplankton populations in shallow, turbid estuaries. Journal of Marine Research 51(4): 843–868.
    Kremer J.N., and S.W. Nixon. 1978. A coastal marine ecosystem: simulation and analysis. New York: Springer-Verlag.CrossRef
    Kremer J.M., J.M.P. Vaudrey, D.S. Ulman, D.L. Bergondo, N. LaSota, C. Kincaid, D.L. Codiga, and M.J. Brush. 2010. Simulating property exchange in estuarine ecosystem models at ecologically appropriate scales. Ecological Modeling 221: 1080–1088.CrossRef
    Lake S.J., and M.J. Brush. 2015. Contribution of nutrient and organic matter sources to the development of periodic hypoxia in a tributary estuary. Estuaries and Coasts. doi:10.​1007/​s12237-015-9954-2 .
    Landry M.R. 1977. A review of important concepts in the trophic organization of pelagic ecosystems. Helgoländer Wissenschaftliche Meeresuntersuchungen 30(1-4): 8–17.CrossRef
    Lee Y.J., W.R. Boynton, M. Li, and Y. Li. 2013. Role of late winter-spring wind influencing summer hypoxia in Chesapeake Bay. Estuaries and Coasts 36: 683–696.CrossRef
    Lengaigne M., C. Menkes, O. Aumont, T. Gorgues, L. Bopp, J.M. André, and G. Madec. 2007. Influence of the oceanic biology on the tropical Pacific climate in a coupled general circulation model. Climate Dynamics 28(5): 503–516.CrossRef
    Levins R. 1966. The strategy of model building in population biology. American Scientist 54(4): 421–431.
    Li M., L. Zhong, and L.W. Harding. 2009. Sensitivity of plankton biomass and productivity to variations in physical forcing and biological parameters in Chesapeake Bay. Journal of Marine Research 67(5): 667–700.CrossRef
    Link J.S., T.F. Ihde, C.J. Harvey, S.K. Gaichas, J.C. Field, J.K.T. Brodziak, H.M. Townsend, and R.M. Peterman. 2012. Dealing with uncertainty in ecosystem models: the paradox of use for living marine resource management. Progress in Oceanography 102: 102–114.CrossRef
    Liu Y., G.B. Arhonditsis, C.A. Stow, and D. Scavia. 2011. Predicting the hypoxic-volume in Chesapeake Bay with the Streeter-Phelps model: a Bayesian approach. Journal of the American Water Resources Association 47: 1348–1363.CrossRef
    Longino H.E. 2002. The fate of knowledge, 233. Princeton: Princeton University Press.
    López-Urrutia Á.. 2008. The metabolic theory of ecology and algal bloom formation. Limnology and Oceanography 53(5): 2046–2047.
    Loucks D.P. 2006. Modeling and managing the interactions between hydrology, ecology and economics. Journal of Hydrology 328(3): 408–416.CrossRef
    Low-Décarie E., C. Chivers, and M. Granados. 2014. Rising complexity and falling explanatory power in ecology. Frontiers in Ecology and the Environment 12(7): 412–418.CrossRef
    Lucas L.V., J.R. Koseff, J.E. Cloern, S.G. Monismith, and J.K. Thompson. 1999a. Processes governing phytoplankton blooms in estuaries. I: the local production-loss balance. Marine Ecology Progress Series 187: 1–15.CrossRef
    Lucas L.V., J.R. Koseff, J.E. Cloern, S.G. Monismith, and J.K. Thompson. 1999b. Processes governing phytoplankton blooms in estuaries. II: the role of horizontal transport. Marine Ecology Progress Series 187: 17–30.CrossRef
    Lucas, L.V., and J.K. Thompson. 2012. Changing restoration rules: exotic bivalves interact with residence time and depth to control phytoplankton productivity. Ecosphere 3: 117, doi: 10.​1890/​ES12-00251.​1
    Luff R., and A. Moll. 2004. Seasonal dynamics of the North Sea sediments using a three-dimensional coupled sediment–water model system. Continental Shelf Research 24(10): 1099–1127.CrossRef
    Malve O., M. Laine, H. Haario, T. Kirkkala, and J. Sarvala. 2007. Bayesian modelling of algal mass occurrences using adaptive MCMC methods with a lake water quality model. Environmental Modelling & Software 22: 966–977.CrossRef
    Martin A.P. 2003. Phytoplankton patchiness: the role of lateral stirring and mixing. Progress in Oceanography 57(2): 125–174.CrossRef
    Mason S.J., and N.E. Graham. 1999. Conditional probabilities, relative operating characteristics, and relative operating levels. Weather and Forecasting 14: 713–725.CrossRef
    McCardell, G. 2012. Physical supplies of oxygen to the bottom waters of western Long Island Sound. Doctoral Thesis. University of Connecticut.
    Ménesguen A., P. Cugier, S. Loyer, A. Vanhoutte-Brunier, T. Hoch, J.F. Guillaud, and F. Gohin. 2007. Two-or three-layered box-models versus fine 3D models for coastal ecological modelling? A comparative study in the English Channel (Western Europe). Journal of Marine Systems 64(1): 47–65.CrossRef
    Merriam-Webster. 2014. Merriam-Webster online dictionary. Springfield: Accessed at www.​merriam-webster.​com , September 2013Merriam Webster.
    Miller T.J., J. Blair, T.F. Ihde, R.M. Jones, D.H. Secor, and M.J. Wilberg. 2010. FishSmart: an innovative role for science in stakeholder-centered approaches to fisheries management. Fisheries 35: 424–433.CrossRef
    Mimura M., and J.D. Murray. 1978. On a diffusive predator-prey model which exhibits patchiness. Journal of Theoretical Biology 75: 249–262.CrossRef
    Moore R.B., C.M. Johnston, R.A. Smith, and B. Milstead. 2011. Source and delivery of nutrients to receiving waters in the northeastern and Mid-Atlantic regions of the United States. Journal of the American Water Resources Association 47(5): 965–990.CrossRef
    Morrison, M., and M.S. Morgan. 1999. Models as mediating agents. In: Morgan, M.S. and Morrison, M. (eds.), Models as mediators, Cambridge University Press, Cambridge, 401.
    Murphy A.H. 1988. Skill scores based on the mean square error and their relationships to the correlation coefficient. Monthly Weather Review 116(12): 2417–2424.CrossRef
    Murphy R.R., W.M. Kemp, and W.P. Ball. 2011. Long-term trends in Chesapeake Bay seasonal hypoxia, stratification, and nutrient loading. Estuaries and Coasts 34: 1293–1309.CrossRef
    Nash J.E., and J.V. Sutcliffe. 1970. River flow forecasting through conceptual models part I—a discussion of principles. Journal of Hydrology 10(3): 282–290.CrossRef
    Nixon, S.W. 1992. Quantifying the relationship between nitrogen input and the productivity of marine ecosystems. In Takahashi, M., Nakata, K., and Parsons, T.R. (eds.), Proceedings of Advanced Marine Technology Conference. AMTEC, 5, 57-83
    Nixon S., B. Buckley, S. Granger, and J. Bintz. 2001. Responses of very shallow marine ecosystems to nutrient enrichment. Human and Ecological Risk Assessment 7(5): 1457–1481.CrossRef
    Nixon S.W., J.W. Ammerman, L.P. Atkinson, V.M. Berounsky, G. Billen, W.C. Boicourt, W.R. Boynton, T.M. Church, D.M. Di Toro, R. Elmgren, J.H. Garber, A.E. Giblin, R.A. Jahnke, N.J.P. Owens, M.E.Q. Pilson, and S.P. Seitzinger. 1996. The fate of nitrogen and phosphorus at the land-sea margin of the north Atlantic ocean. Biogeochemistry 35: 141–180.CrossRef
    NOAA. 2014. NOAA’s ecological forecasting services. Silver Spring: Available at: oceanservice.noaa.gov/ecoforecasting; accessed October 2014National Oceanic and Atmospheric Administration.
    North E.W., R.R. Hood, S.Y. Chao, and L.P. Sanford. 2005. The influence of episodic events on transport of striped bass eggs to the estuarine turbidity maximum nursery area. Estuaries 28(1): 108–123.CrossRef
    North E.W., Z. Schlag, R.R. Hood, M. Li, L. Zhong, T. Gross, and V.S. Kennedy. 2008. Vertical swimming behavior influences the dispersal of simulated oyster larvae in a coupled particle-tracking and hydrodynamic model of Chesapeake Bay. Marine Ecology Progress Series. 359: 99–115.CrossRef
    Neumann T., and G. Schernewski. 2008. Eutrophication in the Baltic Sea and shifts in nitrogen fixation analyzed with a 3D ecosystem model. Journal of Marine Systems 74(1-2): 592–602.CrossRef
    NRC. 2000. Clean coastal waters: understanding and reducing the effects of nutrient pollution. Washington: National Research Council, National Academy Press.
    Obenour D.R., A. Michalak, and D. Scavia. 2014. Assessing biophysical controls on Gulf of Mexico hypoxia through probabilistic modeling. Ecological Applications 25(2): 492–505.CrossRef
    O’Donnell, J, H. Dam, G. McCardell, and T. Fake. 2009. Simulation of Long Island sound with the System-Wide Eutrophication Model (SWEM): inter-annual variability and sensitivity. Long Island Sound Study EPA Assistance Award Final Report. EPA Grant Number: LI-97127101.
    Odum H.T. 1971. Environment, power, and society. New York: Wiley.
    Officer C.B. 1980. Box models revisited. In Estuarine and wetland processes with emphasis on modeling, eds. P. Hamilton, and K.B. MacDonald, 65–114. New York: Plenum Press.CrossRef
    Officer C.B., and D.R. Kester. 1991. On estimating the non-advective tidal exchanges and advective gravitational circulation exchanges in an estuary. Estuarine, Coastal and Shelf Science 32: 99–103.CrossRef
    Oguz T., H.W. Ducklow, and P. Malanotte-Rizzoli. 2000. Modeling distinct vertical biogeochemical structure of the Black Sea: dynamical coupling of the oxic, suboxic, and anoxic layers. Global Biogeochemical Cycles 14(4): 1331–1352.CrossRef
    Okubo A. 1980. Dynamical aspects of animal grouping. Advances in Biophysics 22: 1–94.CrossRef
    Olabarrieta, M., J.C. Warner, and N. Kumar. 2011. Wave-current interaction in Willapa Bay. Journal of Geophysical Research: Oceans (1978–2012), 116(C12).
    Pace M.L. 2001. Prediction and the aquatic sciences. Canadian Journal of Fisheries and Aquatic Sciences 58(1): 63–72.CrossRef
    Paolisso M., J. Trombley, R.R. Hood, and K.G. Sellner. 2013. Environmental models and public stakeholders in the Chesapeake Bay watershed. Estuaries and Coasts 1-17.
    Parrish R.S., and C.N. Smith. 1990. A method for testing whether model predictions fall within a prescribed factor of true values, with an application to pesticide leaching. Ecological Modelling 51: 59–72.CrossRef
    Patten B.C. 1971. Systems analysis and simulation in ecology, Vol 1. New York: Academic Press.
    Penduff T., M. Juza, L. Brodeau, G.C. Smith, B. Barnier, J.M. Molines, A.M. Treguier, and G. Madec. 2010. Impact of global ocean model resolution on sea-level variability with emphasis on interannual time scales. Ocean Science 6(1).
    Peters, R.H. 1991. A critique for ecology. Cambridge University Press.
    Plant N.G., K.L. Edwards, J.M. Kaihatu, J. Veeramony, L. Hsu, and K.T. Holland. 2009. The effect of bathymetric filtering on nearshore process model results. Coastal Engineering 56(4): 484–493.CrossRef
    Preston, S.D., R.B. Alexander, and M.D. Woodside. 2011, Regional assessments of the nation’s water quality—improved understanding of stream nutrient sources through enhanced modeling capabilities, 6 p., available at http://​pubs.​usgs.​gov/​fs/​2011/​3114/​ .
    Raick C., K. Soetaert, and M. Grégoire. 2006. Model complexity and performance: how far can we simplify?. Progress in Oceanography 70(1): 27–57.CrossRef
    Ralston D.K., and W.R. Geyer. 2009. Episodic and long-term sediment transport capacity in the Hudson River estuary. Estuaries and Coasts 32(6): 1130–1151.CrossRef
    Ralston, D.K., W.R. Geyer, and J.A. Lerczak. 2010. Structure, variability, and salt flux in a strongly forced salt wedge estuary. Journal of Geophysical Research: Oceans (1978–2012), 115(C6).
    Raubenheimer B., D.K. Ralston, S. Elgar, D. Giffen, and R.P. Signell. 2013. Observations and predictions of summertime winds on the Skagit tidal flats, Washington. Continental Shelf Research 60: S13–S21.CrossRef
    Reckhow K.H., and S.C. Chapra. 1983a. Engineering approaches for lake management, volume 1: data analysis and empirical modeling. Boston: Butterworth Publishers.
    Reckhow K.H., and S.C. Chapra. 1983b. Confirmation of water quality models. Ecological Modeling 20: 113–133.CrossRef
    Reckhow K.H., J.T. Clements, and R.C. Dodd. 1990. Statistical evaluation of mechanistic water-quality models. Journal of Environmental Engineering 116(2): 250–268.CrossRef
    Reckhow K.H. 1999. Water quality prediction and probability network models. Canadian Journal of Fisheries and Aquatic Sciences 56(7): 1150–1158.CrossRef
    Rigler F.H., and R.H. Peters. 1995. Science and Limnology. Book 6. In Excellence in Ecology, ed. O. Kinne. Oldendorf/Luhe: International Ecology Institute.
    Riley G.A. 1946. Factors controlling phytoplankton populations on Georges Bank. Journal of Marine Research 6: 54–73.
    Riley G.A. 1947. A theoretical analysis of the zooplankton population of Georges Bank. Journal of Marine Research 6: 104–113.
    Riley G.A., H. Stommel, and D.F. Bumpus. 1949. Quantitative ecology of the plankton of the Western North Atlantic. Bulletin of the Bingham Oceanographic Collection 12: 1–169.
    Roache P.J. 1997. Quantification of uncertainty in computational fluid dynamics. Annual Review of Fluid Mechanics 29(1): 123–160.CrossRef
    Robson B.J. 2014. When do aquatic systems models provide useful predictions, what is changing, and what is next?. Environmental Modelling & Software 61: 287–296.CrossRef
    Rose K.A., J.I. Allen, Y. Artioli, M. Barange, J. Blackford, F. Carlotti, R. Cropp, U. Daewel, K. Edwards, K. Flynn, S. Hill, R. Hille Ris Lambers, G. Huse, S. Mackinson, B.A. Megrey, A. Moll, R. Rivkin, B. Salihoglu, C. Schrum, L. Shannon, Y. Shin, S.L. Smith, C. Smith, C. Solidoro, M. St John, and M. Zhou. 2010. End-to-end models for the analysis of marine ecosystems: challenges, issues, and next steps.. Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science 2: 115–130.CrossRef
    Rose K.A., W.J. Kimmerer, K.P. Edwards, and W.A. Bennett. 2013. Individual-based modeling of delta smelt population dynamics in the upper San Francisco estuary: I. Model Description and Baseline Results. Transactions of the American Fisheries Society 142: 1238–1259.CrossRef
    Scavia D., D. Justic, and V.J. Bierman Jr. 2004. Reducing hypoxia in the Gulf of Mexico: advice from three models. Estuaries 27(3): 419–425.CrossRef
    Scavia D., E.L.A. Kelly, and J.D. Hagy. 2006. A simple model for forecasting the effects of nitrogen loads on Chesapeake Bay hypoxia. Estuaries and Coasts 29: 674–684.CrossRef
    Scavia D., M.A. Evans, and D.R. Obenour. 2013. A scenario and forecast model for Gulf of Mexico hypoxia area and volume. Environmental Science and Technology 47: 10423–10428.
    Scully M.E. 2013. Physical controls on hypoxia in Chesapeake Bay: a numerical modeling study. Journal of Geophysical Research, Oceans 118: 1239–1256. doi:10.​1002/​jgrc.​20138 .CrossRef
    Sheng Y.P., and T. Kim. 2009. Skill assessment of an integrated modeling system for shallow coastal and estuarine ecosystems. Journal of Marine Systems 76: 212–243.CrossRef
    Signell R.P., and D.P. Snowden. 2014. Advances in a distributed approach for ocean model data interoperability. Journal of Marine Science and Engineering 2(1): 194–208.CrossRef
    Sinsabaugh R.L., S. Manzoni, D.L. Moorhead, and A. Richter. 2013. Carbon use efficiency of microbial communities: stoichiometry, methodology and modelling. Ecology Letters 16(7): 930–939.CrossRef
    Smolarkiewicz P.K., and L.G. Margolin. 1998. MPDATA: a finite-difference solver for geophysical flows. Journal of Computational Physics 140(2): 459–480.CrossRef
    Soetaert K., and J.J. Middelburg. 2009. Modeling eutrophication and oligotrophication of shallow-water marine systems: the importance of sediments under stratified and well-mixed conditions. In Eutrophication in Coastal Ecosystems, 239–254. Netherlands: Springer.CrossRef
    Spitz Y.H., and J.M. Klinck. 1998. Estimate of bottom and surface stress during a spring-neap tide cycle by dynamical assimilation of tide gauge observations in the Chesapeake Bay. Journal of Geophysical Research 103: 12761–12782.CrossRef
    Statham P.J. 2012. Nutrients in estuaries—an overview and the potential impacts of climate change. Science of the Total Environment 434: 213–227.CrossRef
    Steele J.H. 1974. The structure of marine ecosystems. Cambridge: Harvard University Press.CrossRef
    Stigebrandt A., and F. Wulff. 1987. A model for the dynamics of nutrients and oxygen in the Baltic proper. Journal of Marine Research 45: 729–759.CrossRef
    Stow C.A., C. Roessler, M.E. Borsuk, J.D. Bowen, and K.H. Reckhow. 2003. Comparison of estuarine water quality models for total maximum daily load development in Neuse River Estuary. Journal of Water Resources Planning and Management 129(4): 307–314.CrossRef
    Stow C.A., J. Jolliff, D.J. McGillicuddy Jr., S.C. Doney, J.I. Allen, M.A.M. Friedrichs, K.A. Rose, and P. Wallhead. 2009. Skill assessment for coupled biological/physical models of marine systems. Journal of Marine System 76: 4–15.CrossRef
    Streeter, H.W., and E.B. Phelps. 1925. A study of the pollution and natural purification of the Ohio River, III: Factors concerning the phenomena of oxidation and reaeration. Public Health Bulletin No. 146. Washington, D.C.: U.S. Public Health Service. Reprinted in 1958 by the U.S. Department of Health, Education and Welfare.
    Swaney D.P., D. Scavia, R.W. Howarth, and R.M. Marino. 2008. Estuarine classification and response to nitrogen loading: insights from simple ecological models. Estuarine, Coastal and Shelf Science 77: 253–263.CrossRef
    Temmerman, S., T.J. Bouma, G. Govers, Z.B. Wang, M.B. De Vries, and P.M.J. Herman. 2005. Impact of vegetation on flow routing and sedimentation patterns: Three-dimensional modeling for a tidal marsh. Journal of Geophysical Research: Earth Surface (2003–2012), 110(F4).
    Testa J.M., D.C. Brady, D.M. Di Toro, W.R. Boynton, J.C. Cornwell, and W.M. Kemp. 2013. Sediment flux modeling: simulating nitrogen, phosphorus, and silica cycles. Estuarine, Coastal and Shelf Science 131: 245–263.CrossRef
    Testa J.M., and W.M. Kemp. 2008. Variability of biogeochemical processes and physical transport in a partially stratified estuary: a box-modeling analysis. Marine Ecology Progress Series 356: 63–79.CrossRef
    Testa J.M., Y. Li, Y.J. Lee, M. Li, D.C. Brady, D.M. Di Toro, W.M. Kemp, and J.J. Fitzpatrick. 2014. Quantifying the effects of nutrient loading on dissolved O2 cycling and hypoxia in Chesapeake Bay using a coupled hydrodynamic-biogeochemical model. Journal of Marine Systems 139: 139–158.CrossRef
    Thomann R.V. 1982. Verification of water quality models. Journal of Environmental Engineering 108((EE5)): 923–940.
    Thomas J.E., T.A. Saxby, W. Dennison, T. Carruthers, E.G. Abal, and A. Jones. 2006. Communicating science effectively: a practical handbook for integrating visual elements. London: IWA Publishing.
    Trancoso A.R., S. Saraiva, L. Fernandes, P. Pina, P. Leitão, and R. Neves. 2005. Modelling macroalgae using a 3D hydrodynamic–ecological model in a shallow, temperate estuary. Ecological Modelling 187: 232–246.CrossRef
    Turner R.E., N.N. Rabalais, and D. Justic. 2006. Predicting summer hypoxia in the northern Gulf of Mexico: riverine N, P, and Si loading. Marine Pollution Bulletin 52(2): 139–148.CrossRef
    Turner R.E., N.N. Rabalais, and D. Justic. 2012. Predicting summer hypoxia in the northern Gulf of Mexico: redux. Marine Pollution Bulletin 64: 318–323.
    Tyler R.M., D.C. Brady, and T.E. Targett. 2009. Temporal and spatial dynamics of diel-cycling hypoxia in estuarine tributaries. Estuaries and Coasts 32(1): 123–145.CrossRef
    Umlauf L., and H. Burchard. 2003. A generic length-scale equation for geophysical turbulence models. Journal of Marine Research 61(2): 235–265.CrossRef
    US EPA. 1999. Protocol for Developing Nutrient TMDLs. Report 841-B-99-007. Washington: Office of Water, U.S. Environmental Protection Agency.
    US EPA. 2010. Chesapeake Bay total maximum daily load for nitrogen, phosphorus and sediment. Annapolis: Chesapeake Bay Program Office, U.S. Environmental Protection Agency.
    Valiela I., G. Collins, J.N. Kremer, K. Lajtha, M. Geist, B. Seely, J. Brawley, and C.H. Sham. 1997a. Nitrogen loading from coastal watersheds to receiving estuaries: new method and application. Ecological Applications 7(2): 358–380.CrossRef
    Valiela I., M. Geist, J. McClelland, and G. Tomasky. 2000. Nitrogen loading from watersheds to estuaries: verification of the Waquoit Bay nitrogen loading model. Biogeochemistry 49(3): 277–293.CrossRef
    Valiela I., J. McClelland, J. Hauxwell, P.J. Behr, D. Hersh, and K. Foreman. 1997b. Macroalgal blooms in shallow estuaries: controls and ecophysiological and ecosystem consequences. Limnology and Oceanography 42(5): 1105–1118.CrossRef
    van Eeten M.J., D.P. Loucks, and E. Roe. 2002. Bringing actors together around large-scale water systems: participatory modeling and other innovations. Knowledge, Technology & Policy 14(4): 94–108.CrossRef
    van Niftrik L., and M.S. Jetten. 2012. Anaerobic ammonium-oxidizing bacteria: unique microorganisms with exceptional properties. Microbiology and Molecular Biology Reviews 76(3): 585–596.CrossRef
    Vollenweider R.A. 1976. Advances in defining critical loading levels for phosphorus in lake eutrophication. Memorie Dell’ Istituto Italiano di Idrobiologia 33: 53–83.
    Warner, J. C., W.R. Geyer, and J.A. Lerczak. 2005. Numerical modeling of an estuary: A comprehensive skill assessment. Journal of Geophysical Research: Oceans (1978–2012), 110(C5).
    Webster I.T., and G.P. Harris. 2004. Anthropogenic impacts on the ecosystems of coastal lagoons: modelling fundamental biogeochemical processes and management implications. Marine and Freshwater Research 55(1): 67–78.CrossRef
    Wetzel P., E. Maier-Reimer, M. Botzet, J. Jungclaus, N. Keenlyside, and M. Latif. 2006. Effects of ocean biology on the penetrative radiation in a coupled climate model. Journal of Climate 19(16): 3973–3987.CrossRef
    Wool T.A., S.R. Davie, and H.N. Rodriguez. 2003. Development of three-dimensional hydrodynamic and water quality models to support total maximum daily load decision process for the Neuse River Estuary, North Carolina. Journal of Water Resources Planning and Management 129(4): 295–306.CrossRef
    Wulff F., O.P. Savchuk, A. Sokolov, C. Humborg, and C.-M. Mörth. 2007. Management options and effects on a marine ecosystem: assessing the future of the Baltic. Ambio 36(2): 243–249.CrossRef
    Xu, J., S.-Y. Chao, R. R. Hood, H. V. Wang, and W. C. Boicourt. 2002. Assimilating high-resolution salinity data into a model of a partially mixed estuary, Journal of Geophysical Research, 107, doi: 10.​1029/​2000JC000626 .
    Xu J., and R.R. Hood. 2006. Modeling biogeochemical cycles in Chesapeake Bay with a coupled physical–biological model. Estuarine, Coastal and Shelf Science 69: 19–46.CrossRef
    Xu J., R.R. Hood, and S.Y. Chao. 2005. A simple empirical optical model for simulating light attenuation variability in a partially mixed estuary. Estuaries 28(4): 572–580.CrossRef
    Xue P., C. Chen, J. Qi, R.C. Beardsley, R. Tian, L. Zhao, and H. Lin. 2014. Mechanism studies of seasonal variability of dissolved oxygen in Mass Bay: a multi-scale FVCOM/UG-RCA application. Journal of Marine Systems 131: 102–119.CrossRef
    Zhang H., and S. Li. 2010. Effects of physical and biochemical processes on the dissolved oxygen budget for the Pearl River Estuary during summer. Journal of Marine Systems 79(1): 65–88.CrossRef
    Zhao L.H., Y. Xu Wei, and S. Feng. 2005. An adjoint data assimilation approach for estimating parameters in a three-dimensional ecosystem model. Ecological Modeling 186: 235–250. doi:10.​1016/​j.​ecolmodel.​2005.​01.​017 .CrossRef
    Zhao, L., Chen, C., Vallino, J., Hopkinson, C., Beardsley, R. C., Lin, H., and Lerczak, J. 2010. Wetland-estuarine-shelf interactions in the Plum Island Sound and Merrimack River in the Massachusetts coast. Journal of Geophysical Research: Oceans (1978–2012), 115(C10).
  • 作者单位:Neil K. Ganju (1)
    Mark J. Brush (2)
    Brenda Rashleigh (3)
    Alfredo L. Aretxabaleta (1)
    Pilar del Barrio (4)
    Jason S. Grear (3)
    Lora A. Harris (5)
    Samuel J. Lake (2)
    Grant McCardell (6)
    James O’Donnell (6)
    David K. Ralston (7)
    Richard P. Signell (1)
    Jeremy M. Testa (5)
    Jamie M. P. Vaudrey (6)

    1. U.S. Geological Survey, Woods Hole, MA, USA
    2. Virginia Institute of Marine Science, Gloucester Point, VA, USA
    3. U.S. Environmental Protection Agency, Narragansett, RI, USA
    4. IH-Cantabria, Santander, Spain
    5. Chesapeake Biological Laboratory, University of Maryland, Solomons, MD, USA
    6. University of Connecticut, Groton, CT, USA
    7. Woods Hole Oceanographic Institution, Woods Hole, MA, USA
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Environment
    Environment
    Ecology
    Geosciences
    Environmental Management
    Nature Conservation
  • 出版者:Springer New York
  • ISSN:1559-2731
文摘
Numerical modeling has emerged over the last several decades as a widely accepted tool for investigations in environmental sciences. In estuarine research, hydrodynamic and ecological models have moved along parallel tracks with regard to complexity, refinement, computational power, and incorporation of uncertainty. Coupled hydrodynamic-ecological models have been used to assess ecosystem processes and interactions, simulate future scenarios, and evaluate remedial actions in response to eutrophication, habitat loss, and freshwater diversion. The need to couple hydrodynamic and ecological models to address research and management questions is clear because dynamic feedbacks between biotic and physical processes are critical interactions within ecosystems. In this review, we present historical and modern perspectives on estuarine hydrodynamic and ecological modeling, consider model limitations, and address aspects of model linkage, skill assessment, and complexity. We discuss the balance between spatial and temporal resolution and present examples using different spatiotemporal scales. Finally, we recommend future lines of inquiry, approaches to balance complexity and uncertainty, and model transparency and utility. It is idealistic to think we can pursue a “theory of everything” for estuarine models, but recent advances suggest that models for both scientific investigations and management applications will continue to improve in terms of realism, precision, and accuracy. Keywords Numerical modeling Hydrodynamics Ecological modeling Ecosystem modeling Skill assessment

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