Simulating long-term dynamics of the coupled North Sea and Baltic Sea ecosystem with ECOSMO II: Model description and validation

Abstract The North Sea and the Baltic Sea ecosystems differ substantially in both hydrology and biogeochemical processes. Nonetheless, both systems are closely linked to each other and a coupled modeling approach is indispensable when aiming to simulate and understand long-term ecosystem dynamics in both seas. In this study, we present first an updated version of the fully coupled bio-physical model ECOSMO, a 3d hydrodynamic and a N(utrient)P(hytoplankton)Z(ooplankton)D(etritus) model, which is now adopted to the coupled system North Sea–Baltic Sea. To make the model applicable to both ecosystems, processes relevant for the Baltic Sea (e.g. sedimentation, cyanobacteria) were incorporated into the model formulation. Secondly we assess the validity of the model to describe seasonal, inter-annual and decadal variations in both seas. Our analyses show that the model sufficiently represents the spatial and temporal dynamics in both ecosystems but with some uncertainties in the coastal areas of the North Sea, likely related to the missing representation of tidal flats in the model, and in the deep-water nutrient pool of the Baltic Sea. Finally we present results from a 61-year (1948–2008) hindcast of the coupled North Sea and Baltic Sea ecosystem and identify long-term changes in primary and secondary production. The simulated long-term dynamics of primary and secondary production could be corroborated by observations from available literature and shows a general increase in the last three decades of the simulation when compared to the first 30 years. Regime shifts could be identified for both ecosystems, but with differences in both, timing and magnitude of the related change.

[1]  J. Backhaus,et al.  Sensitivity of atmosphere-ocean heat exchange and heat content in the North Sea and the Baltic Sea: ATMOSPHERE-OCEAN HEAT EXCHANGE AND HEAT CONTENT , 2002 .

[2]  J. Hunter,et al.  Fronts in the Irish Sea , 1974, Nature.

[3]  A. Stigebrandt,et al.  A model for the dynamics of nutrients and oxygen in the Baltic proper , 1987 .

[4]  T. Nielsen,et al.  Trophodynamics of the plankton community at Dogger Bank: predatory impact by larval fish , 1994 .

[5]  Michael R. Heath,et al.  Changes in the structure and function of the North Sea fish foodweb, 1973–2000, and the impacts of fishing and climate , 2005 .

[6]  Denis Gilbert,et al.  Temporal responses of coastal hypoxia to nutrient loading and physical controls , 2009 .

[7]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[8]  K. Myrberg,et al.  Upwelling in the Baltic Sea — A review , 2008 .

[9]  K. Taylor Summarizing multiple aspects of model performance in a single diagram , 2001 .

[10]  Wolfgang Fennel,et al.  Experimental simulations with an ecosystem model of the Baltic Sea: A nutrient load reduction experiment , 2002 .

[11]  David Marechal,et al.  A soil-based approach to rainfall-runoff modelling in ungauged catchments for England and Wales , 2004 .

[12]  T. Neumann,et al.  Inter-annual variability in cyanobacteria blooms in the Baltic Sea controlled by wintertime hydrographic conditions , 2004 .

[13]  R. D. Adams,et al.  Seasonal changes in the circulation of the northern North Sea , 1992 .

[14]  P. Mayzaud,et al.  The influence of food quality on the nutritional acclimation of the copepod Acartia clausi , 1998 .

[15]  A. Lehmann,et al.  Knowledge of the Baltic Sea physics gained during the BALTEX and related programmes , 2004 .

[16]  C. Schrum Thermohaline stratification and instabilities at tidal mixing fronts: results of an eddy resolving model for the German Bight , 1997 .

[17]  R. Weisse,et al.  Using QuikSCAT in the added value assessment of dynamically downscaled wind speed , 2011 .

[18]  B. Gustafsson Interaction between Baltic Sea and North Sea , 1997 .

[19]  D. Salmon Discrediting American science. , 1884, Science.

[20]  Copepod grazing in a summer cyanobacteria bloom in the Gulf of Finland , 1994 .

[21]  S. Bergström,et al.  River runoff to the Baltic Sea : 1950-1990 , 1994 .

[22]  James W. Murray,et al.  Functional responses for zooplankton feeding on multiple resources: a review of assumptions and biological dynamics , 2003 .

[23]  Ragnar Elmgren,et al.  Satellite measurements of cyanobacterial bloom frequency in the Baltic Sea: interannual and spatial variability , 2007 .

[24]  M. Peck,et al.  Life history strategy and impacts of environmental variability on early life stages of two marine fishes in the North Sea: an individual-based modelling approach , 2011 .

[25]  W. Matthäus,et al.  Characteristics of major Baltic inflows—a statistical analysis , 1992 .

[26]  H. Meier,et al.  On the dynamics of oxygen, phosphorus and cyanobacteria in the Baltic Sea; A model study , 2009 .

[27]  W. Kruskal,et al.  Use of Ranks in One-Criterion Variance Analysis , 1952 .

[28]  R. Flather,et al.  Existing operational oceanography , 2000 .

[29]  D. Conley,et al.  Internal Ecosystem Feedbacks Enhance Nitrogen-fixing Cyanobacteria Blooms and Complicate Management in the Baltic Sea , 2007, Ambio.

[30]  B. Gustafsson,et al.  Beyond the Fe-P-redox connection: preferential regeneration of phosphorus from organic matter as a key control on Baltic Sea nutrient cycles , 2011 .

[31]  J. Backhaus,et al.  A climatological data set of temperature and salinity for the Baltic Sea and the North Sea , 1999 .

[32]  Martin Bohle-Carbonell Pitfalls in sampling, comments on reliability and suggestions for simulation , 1992 .

[33]  B. Müller-Karulis,et al.  Trophic status of the south-eastern Baltic Sea: A comparison of coastal and open areas , 2001 .

[34]  Momme Butenschön,et al.  Modeling the carbon fluxes of the northwest European continental shelf: Validation and budgets , 2012 .

[35]  F. Thomsen,et al.  The harbour porpoise (Phocoena phocoena) in the central German Bight: phenology, abundance and distribution in 2002–2004 , 2007, Helgoland Marine Research.

[36]  H. Storch,et al.  Regional climate models add value to global model data, A Review and Selected Examples , 2011 .

[37]  B. Arheimer,et al.  Modelling climate change effects on nutrient discha rges from the Baltic Sea catchment: processes and results , 2011 .

[38]  L. Merlivat,et al.  Air-Sea Gas Exchange Rates: Introduction and Synthesis , 1986 .

[39]  P. C. Reid,et al.  Ocean climate anomalies and the ecology of the North Sea , 2002 .

[40]  Eva Friis Møller,et al.  Ecosystem modelling across a salinity gradient from the North Sea to the Baltic Sea , 2011 .

[41]  J. Backhaus,et al.  Sensitivity of atmosphere-ocean heat exchange and heat content in the North Sea and the Baltic Sea , 1999 .

[42]  A. Stigebrandt Computations of oxygen fluxes through the sea surface and the net production of organic matter with application to the Baltic and adjacent seas , 1991 .

[43]  Thomas Neumann,et al.  Towards a 3D-ecosystem model of the Baltic Sea , 2000 .

[44]  J. Monod,et al.  Recherches sur la croissance des cultures bactériennes , 1942 .

[45]  R. Dickson,et al.  The great salinity anomaly in the northern North Atlantic 1968-1982 , 1988 .

[46]  A. Nissling,et al.  POTENTIAL FACTORS INFLUENCING REPRODUCTIVE SUCCESS OF BALTIC COD, GADUS MORHUA : A REVIEW , 1999 .

[47]  A. Omstedt,et al.  The Baltic Sea ocean climate system memory and response to changes in the water and heat balance components , 2006 .

[48]  M. John,et al.  ECOSMO, a coupled ecosystem model of the North Sea and Baltic Sea: Part II. Spatial-seasonal characteristics in the North Sea as revealed by EOF analysis , 2006 .

[49]  W. Matthäus,et al.  On the causes of major Baltic inflows —an analysis of long time series , 1998 .

[50]  Jan O. Backhaus,et al.  A finite difference general circulation model for shelf seas and its application to low frequency variability on the North European shelf , 1987 .

[51]  Nicolas Gruber,et al.  The Marine Nitrogen Cycle: Overview and Challenges , 2008 .

[52]  E. Moksness,et al.  Larval and small juvenile cod Gadus morhua concentrated in the highly productive areas of a shelf break front , 1995 .

[53]  N. Wasmund Occurrence of Cyanobacterial Blooms in the Baltic Sea in Relation to Environmental Conditions , 1997 .

[54]  I. Orlanski A Simple Boundary Condition for Unbounded Hyperbolic Flows , 1976 .

[55]  S. Pitois,et al.  Long-term changes in zooplankton biomass concentration and mean size over the Northwest European shelf inferred from Continuous Plankton Recorder data , 2006 .

[56]  Jason T. Holt,et al.  Error quantification of a high-resolution coupled hydrodynamic-ecosystem coastal-ocean model: Part 2. Chlorophyll-a, nutrients and SPM , 2007 .

[57]  K. Barthel,et al.  Resolving frontal structures: on the payoff using a less diffusive but computationally more expensive advection scheme , 2012, Ocean Dynamics.

[58]  U. Brockmann,et al.  Assessment of the eutrophication status of transitional, coastal and marine waters within OSPAR , 2009, Hydrobiologia.

[59]  P. Munk Cross-frontal variation in growth rate and prey availability of larval North Sea cod Gadus morhua , 2007 .

[60]  Timothy P. Boyer,et al.  World ocean atlas 2001 : objective analyses, data statistics, and figures : CD-ROM documentation , 2002 .

[61]  Y. Shin,et al.  Exploring fish community dynamics through size dependent trophic interactions using a spatialized individual based model , 2001 .

[62]  P. Harrison,et al.  Tidal wake-mixing localized effects on primary production and zooplankton distributions in the Strait of Georgia, British Columbia , 1992 .

[63]  John H. Simpson,et al.  Physical processes in the ROFI regime , 1997 .

[64]  C. Möllmann,et al.  Synchronous ecological regime shifts in the central Baltic and the North Sea in the late 1980s , 2005 .

[65]  P. Buat-Ménard The role of air-sea exchange in geochemical cycling , 1986 .

[66]  K. Richardson,et al.  Respiration and growth of larval herring Clupea harengus: relation between specific dynamic action and growth efficiency , 1987 .

[67]  Katja Fennel,et al.  Convection and the Timing of Phytoplankton Spring Blooms in the Western Baltic Sea , 1999 .

[68]  Justus von Liebig,et al.  Chemistry in Its Application to Agriculture and Physiology , 1842, London and Edinburgh Monthly Journal of Medical Science.

[69]  Bio-availability of phosphorus in sediments of the western Dutch Wadden Sea , 1993 .

[70]  M. Viitasalo,et al.  Feeding interactions of the copepods Eurytemora affinis and Acartia bifilosa with the cyanobacteria Nodularia sp. , 2000 .

[71]  Bruce B. Benson,et al.  The concentration and isotopic fractionation of oxygen dissolved in freshwater and seawater in equilibrium with the atmosphere1 , 1984 .

[72]  V. Mohrholz,et al.  On phosphate pumping into the surface layer of the eastern Gotland Basin by upwelling , 2010 .

[73]  G. Radach,et al.  Climatological annual cycles of nutrients and chlorophyll in the North Sea , 1997 .

[74]  Corinna Schrum,et al.  Development of a coupled physical–biological ecosystem model ECOSMO: Part I: Model description and validation for the North Sea , 2006 .

[75]  Andreas Moll,et al.  Review of three-dimensional ecological modelling related to the north sea shelf system. Part II: Model validation and data needs , 2003 .

[76]  H. T. Kloosterhuis,et al.  Phosphate sorption in superficial intertidal sediments , 1994 .

[77]  J. G. Field,et al.  The Ecological Role of Water-Column Microbes in the Sea* , 1983 .

[78]  J. Berg,et al.  Bathymetry impacts on water exchange modelling through the Danish Straits , 2007 .

[79]  M. Quante,et al.  Adapting CMAQ to investigate air pollution in North Sea coastal regions , 2008, Environ. Model. Softw..

[80]  Timothy R. Parsons,et al.  Biological Oceanographic Processes , 1973 .

[81]  O. Savchuk,et al.  Evaluation of biogeochemical cycles in an ensemble of three state-of-the-art numerical models of the Baltic Sea , 2011 .

[82]  J. Dippner,et al.  A review of hydrographic controls on the distribution of zooplankton biomass and species in the North Sea with particular reference to a survey conducted in January–March 1987 , 1995 .

[83]  M. Edwards,et al.  A long‐term chlorophyll dataset reveals regime shift in North Sea phytoplankton biomass unconnected to nutrient levels , 2007 .

[84]  J. Andersen,et al.  Eutrophication in the Baltic Sea – An integrated thematic assessment of the effects of nutrient enrichment and eutrophication in the Baltic Sea region. , 2009 .

[85]  H. Wheeler THE STATUS AND FUTURE OF THE AMERICAN AGRONOMIST. , 1912, Science.

[86]  The phosphorus budget of the Marsdiep tidal basin (Dutch Wadden Sea) in the period 1950–1985: importance of the exchange with the North Sea , 1990 .

[87]  S. Uhlig,et al.  Phytoplankton trends in the Baltic Sea , 2003 .

[88]  Thomas S. Bianchi,et al.  Cyanobacterial blooms in the Baltic Sea: Natural or human‐induced? , 2000 .

[89]  R. Majchrowski,et al.  SatBałtyk – A Baltic environmental satellite remote sensing system – an ongoing project in Poland. Part 1: Assumptions, scope and operating range , 2011 .

[90]  R. Feistel,et al.  Unusual Baltic inflow activity in 2002-2003 and varying deep-water properties , 2006 .

[91]  André W. Visser,et al.  Subsurface phytoplankton blooms fuel pelagic production in the North Sea , 2000 .