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Insights from modelling in aquaculture waste management

. . What is a waste in aquaculture?. . Organic matterParticulate and dissolved. Fed animals. Inorganic matterDissolved nutrients. . . Treating the waste. Saprophagy pathwaybacteria

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Insights from modelling in aquaculture waste management

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    1. Insights from modelling in aquaculture waste management Sébastien Lefebvre

    2. What is a waste in aquaculture?

    3. Modelling: definitions

    4. Steps in modelling

    5. Two methodologies: Empirical vs mechanistical

    6. Why modelling? Because aquaculture systems are very complex: Experimental studies do not capture entirely the dynamic properties of these systems (Jamu & Piedrahita, 2002) No possibility to predict the responses of the system in other contexts than the ones experienced No possibility to optimize the coupling of the different components

    7. Why modelling? Capture the dynamics and complexity of several components in the moving contex of economy

    8. Objectives General objectives with modelling: To increase scientific knowledge To test novel hypotheses of organism cultures and management To size and/or scale up systems To link biology/hydrodynamics…and economy In this presentation: To draw the applicability of modelling through examples in biology, geochemistry, hydrodynamics, physics and recirculating systems Case study in one integrated aquaculture systems (Genesis)

    9. Use of modelling in hydrodynamics

    10. Use of modelling in hydrodynamics Evaluating the dispersion of waste in sea cage

    11. Use of modelling in physics

    12. Use of modelling in biology case study of recirculation systems

    13. Modelling in integrated coastal zone management biology+hydrodynamics+geochemistry+physics Multispecies aquaculture in Sungo bay China

    14. Case study: Genesis Integrated aquaculture system

    15. Methodology in Genesis

    16. The Genesis IAS French demonstration unit (land-based in a salt-marsh) also in Israel

    17. Results: Fish compartment (Dicentrarchus labrax)

    18. Results: Phytoplankton compartment

    19. Results: Oyster compartment (Crassostrea gigas)

    20. How to reach the best retention? DSS tool… Friendly user interface

    21. Nitrogen retention

    22. General conclusion Possibility to do a presentation on modelling without a single equation!! Modelling can help in many situations Generalisation of some results must be done with care (empirical vs mechanistical) DSS tools are becoming popular Pond (Bolte et al., 2000) Aquafarm (Ernst et al., 2000) FARM (Ferreira et al., 2007) DSS tools must me employed by aquaculturists but also regulators (Leon-Santana and Hernandez, 2007)

    26. Use of modelling in biology case study of integrated rice-crayfish pond systems

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