objectives. However, the importance of economics in explaining fishing activities and theoverexploitation of resources has, meanwhile, been accepted, and a transition towards anecosystem-based management of marine resources can be observed (Browman and Stergio2004). Traditionally, ecosystem models have been developed to simulate nutrient cycles in theocean with an explicit focus on lower trophic levels (for a review cf. Gentleman 2002). In contrast,models of higher trophic levels have been developed as tools for fishery assessment. Apart from afew exceptions which use simplified mass balance models (Christensen and Pauly 1992), thoseapproaches have not yet been coupled with each other. Wätzold et al. (2006) point outfundamental similarities between ecological and economic approaches. In particular, bothdisciplines use similar methods for the study of the dynamics and stability of systems. Furthermore,ecologists explore the manner in which species maximize reproductive success and survival underfood limitation, while economists examine how humans maximize their well-being under aconstrained budget (Settle et al. 2002). At present, most economic fishery managementapproaches build on equilibrium models, in which the population growth of a single species ismodeled through inverse U-shaped functions. Recent approaches generalize these models byintroducing stochastic parameters (Carson et al. 2005) or introduce new methods, includingviability theory or qualitative differential equations, to deal with knowledge of various qualities (foran overview cf. Luna-Reyes and Andersen 2003). Thus far, state-of-the-art marine ecosystemmodels have not been coupled to economic models.3. Previous and on-going work of the proponentsMajor international and national research projects which address the biological basis forecosystem-oriented marine resource management are coordinated fully or in part at IFM-GEOMAR(Schnack / Froese: GLOBEC, UNCOVER, BECAUSE, INCOFISH). <strong>The</strong> experimental ecologygroup (Sommer) concentrates on the lower trophic levels (Sommer and Sommer 2005). Climatechange effects are studied within the DFG priority program AQUASHIFT. IFM-GEOMAR hosts theworld's largest compilation of data on fish and fishery (http://www.fishbase.org). <strong>The</strong> Research andTechnology Center Westcoast (FTZ) in Büsum possesses complementary data on marinemammals and birds. At the CAU Department of Economics, incentives for environmental andresource managing policy instruments are studied. Recently, Moslener and Requate (2006)studied multi-pollution problems. <strong>The</strong> structure and methodology for dealing with these problems issimilar to multi-species approaches.4. ObjectivesAn examination of the mechanisms of marine resource exploitation indicates that a fundamentalchange in the socio-economic, institutional, and ecological settings is needed to achieve a return tosustainability. Since the majority of bio-economic models draw on single species models and donot reflect dynamic ecosystem interactions or the stochastic nature of processes related to thespecific life strategy of marine organisms, the aim of this JRG is to develop coupled bio-economicmodels which adequately take account of the complexity and the uncertainty of marine65
ecosystems. In particular, the following objectives will be addressed: (1) Evaluation, improvementand coupling of multi-species and ecosystem models with respect to their applicability inecosystem-based fishery management; (2) coupling of improved dynamic and stochastic multispecies/ ecosystem models with economic models to substitute Gordon-Schäfer approaches; (3)development of ecologic and economic indicators to evaluate management performance; (4)creation of policy rules for decentralized decision making, e.g., indicator-based individually tradablefishing quotas (ITQ’s) including regimes for banking and non-linear landing fees, combined withtechnological and behavioral standards; (5) simulation of scenarios on the basis of the modelsoutlined above using advanced numerical methods with stochastic parameters and (6) employmentof an integrated approach to ecological dynamics and the human use of marine resources for thepurpose of evaluating policy scenarios.<strong>The</strong> intensive modeling approach, including stochastic components, requires strong support by P1.Links are given to topics defined under B2, B5 and A7. B6 investigates the degree to which newlydeveloped decentralizing incentive schemes are compatible with international law. Results fromA1, A3, and A4 will be important for forecasting ecological indicators, such as temperature, CO 2concentrations and salinity, which are crucial for the development of species populations.5. ReferencesBrowman HI, Stergiou KI (eds) (2004) Perspectives on ecosystem-based approaches to themanagement of marine resources. Mar. Ecol. Prog. Ser. 274, 269–303.Carson T, Granger C, Jackson J, Schlenker W (2005) Are Current Fisheries Management ModelsWrong? UCSD-Disc. Paper, Dept. of Economics & Scripps Institution of <strong>Ocean</strong>ography.Christensen V, Pauly D (1992) Ecopath II—a software for balancing steady-state ecosystemmodels and calculating network characteristics. Ecol. Model. 61, 169–185.Gentleman WC (2002) A chronology of plankton dynamics in silico: How computer models havebeen used to study marine ecosystems. Hydrobiologia 480, 69-85.Luna-Reyes LF, Andersen DL (2003) Collecting and analyzing qualitative data for systemdynamics: Methods and models. Syst. Dynam. Rev. 19(4), 271-296.Moslener U, Requate T (2006) Abatement in the Multi-Pollutant Case: When Stock-Pollutants areComplements or Substitutes. J. Econ. Dyn. Control (in press).Pauly D, Christensen V, Dalsgaard J, Froese R, Torres F Jr (1998) Fishing down marine foodwebs. Science 279, 860-863.Settle C, Crocker TD, Shogren JF (2002) On the joint determination of biological and economicsystems. Ecol. Econ. 42, 301-312.Sommer U, Sommer F (2005) Cladocerans versus copepods: the cause of contrasting top-downcontrols on freshwater and marine phytoplankton. Oecologia 135, 639-647.Wätzold F et al. (2006) Ecological-economic modeling for biodiversity management: Potential,pitfalls, prospects. Conserv. Biol. (in press).66
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1 General Information about the Clu
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1.2 Research Program1.2.1 Summary/Z
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DEKLIMGerman Climate Research Progr
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ITQ’sISAISOSJRGKCMSKitzLALIFLIMSL
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WTOWTSHXAFSXRDZMBWorld Trade Organi
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Prof. Dr. Boris Culik • Maritimes
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GMT-Geschäf*sstelleWe"*w{eltJ"*n $
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f,rylheonRaytheon Anschütz GmbHPos