1. DEB applications for Aquaculture
Integration with MOHID
5th International Symposium on Dynamic Energy Budget Theory | 1st June 2017
Inês Lopes

2. Overview Introduction DEB theory MOHID Current state Changes
Case study
Conclusions

3. Introduction Aquaculture 1 108 M ton 3 365 M € 3.4% and 3.8% growth
14-15 thousand
In the European Union Aquaculture production reached million tons and billion Euros. (2012)
Increase of 3.4% and 3.8% respectively, comparing with 2011.
14-15 thounsand enterprises, 90% of those are micro-enterprises (<10 employees).
Marine sector is the most profitable one
Modelling
MOHID and DEB
Modelers – End Users – Decision Makers

4. Conservation of Energy and Mass
DEB Theory
Basic Principals
Individuals follow thermodynamic laws
Describes all organisms, changing parameters
Follows empirical patterns
Conservation of Energy and Mass
Individuals are a metabolic organization => Energy and Mass balances
Conservation of energy and Mass => Laws of biology (hard to follow in a sub and supra individual level)
All organisms follow those rules changes in a parameter values are sufficient to capture these changes

5. DEB Theory Maturity / Reproduction Reserve Structure Embryo Juvenile
Maintenance
Reserve
Mobilization
Structure
Somatic
Assimilation
Growth
2 state variables - Reserve and Structure
Flows - Assimilation, Somatic maintenance, Growth
1 other state variables - Maturity / Reproductive Buffer
Flows - Maturity maintenance and maturity/reproduction flux
DONT FORGET TO MENTION KAPPA RULE AND PRIORITY TO MAINTENANCE
Also dependence on life stage
Embryo
Juvenile
Adult

6. MOHID Hydrodicamic model; Object oriented, fortran 95;
3D models of water bodies;
Different spatial scales and processes;
Hydrodynamics, Water properties, Atmospheric, Water surface
Nested models;
Mathematical models, using Fortran 95, object oriented
3D models of water. Bodies
Different spatial scales,(estuaries, oceans) physical processes
Modelos encaixados
Several processes , each handled by different models,
Hydrodynamic processes, water surface processes, calculates water properties and atmospheric processes

7. Integration of DEB and MOHID
Initial Conditions
Forcing
NH4
PON
MOHID
Hydrodynamics
Water Quality
Benthic Ecology
Interface Sediment Water
Chla_a
Reserve
Temperature
Reproduction
Structure
Maturation O2
Phyto
DEB
Outputs

8. Integration of DEB and MOHID – current state
Reserve
Mobilization
Structure
Somatic
Maintenance
Assimilation
Maturity /
Reproduction
Maturity
Maintenance
Handled by ligia 2013 based on Dabrwoski 2013, it follows the theory mentioned before, with a few details
Only for juveniles and adults
The flow to maturity maintenance uses an approximation that KX and KM are equal, well we'll discuss implications of this later on , old assumptions for pj
Oxygen consumption is ……
Some other changes were performed to improve coherence with deb theory and notation

9. Changes - Maturity maintenance
NOTAÇÃO
GRAFICO MATURIDADE VS IDADE

10. Changes - Oxygen consumption

11. Changes - Advantages and Disadvantages
Maturity
Adds a state variable and parameters.
Oxygen
Mass balance for minerals;
In compliance with DEB theory.
Adds many new parameters;

12. Case study
Thermal power plant discharge benefit the growth of Sparus aurata?
Sines, Portugal
Sparus aurata

13. Case study
Schematic tank was assembled to check model results and species parameters
Cells : 5m x 5m
Depth : 15m
DEB Parameters
Number of individuals per cell
1 year
f=1
Constant temperature

14. Case study
Schematic tank was assembled to check model results and species parameters

15. Case study
Schematic tank was assembled to check model results and species parameters

16. Case study Nested models approach Food? January Temperature (⁰C)
Velocity Modulus (m/s)
Food?

17. Conclusions DEB model sucessfully incorporated with MOHID;
Changes performed improved model results;
Application to different species;
Importance of food on growth and costs;

18. Future work Implement embryo life stage; Implement survival rates;
Test effect of temperature on production;
Food quality and quantity.
Implement embryo life stage,, not key for aquaculture but important for DEB
Implement survival rates for salinity for instance
Implement in Sines, check influence of termic plume in the growth of juveniles

19. References
D. V. Salgueiro, H. de Pablo, R. Neves and M. Mateus (2015). "Modelling the thermal effluent of a near coast power plant (Sines, Portugal)." Journal of Integrated Coastal Zone Management.
Dabrowski, T., K. Lyons, M. Curé, A. Berry and G. Nolan (2013). "Numerical modelling of spatio- temporal variability of growth of Mytilus edulis (L.) and influence of its cultivation on ecosystem functioning." Journal of Sea Research 76: 5-21.
Kooijman, S. A. L. M. (2010). Dynamic energy Budget theory for metabolic organisation, Cambridge University Press.
Pinto, L., M. Mateus, I. Ascione, G. Franz and R. Neves (2013). Modelling mussel growth in the Tagus estuary: A preliminary approach. Ocean modelling for coastal management – Case studies with MOHID. I. Press: