defining yield policies in a viability approach
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Defining Yield Policies in a Viability Approach L. Chapel 1 G. Deffuant 1 S. Martin 1 C. Mullon 2 1 LISC Cemagref 2 GEODES IRD V European Conference on Ecological Modelling, 2005 Introduction Study of the Southern Benguela ecosystem by Mullon


  1. Defining Yield Policies in a Viability Approach L. Chapel 1 G. Deffuant 1 S. Martin 1 C. Mullon 2 1 LISC Cemagref 2 GEODES IRD V European Conference on Ecological Modelling, 2005

  2. Introduction Study of the Southern Benguela ecosystem by Mullon C. Mullon, P. Curry and L. Shannon Viability model of trophic interactions in marine ecosystems . Natural Resource Modeling, 17:27-58, 2004. Problem: Given constant values of fisheries, how ensuring the persistence of the ecosystem ? Solution: Study the model in a viability perspective We focus here on the yield policies Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 2 / 19

  3. Outline Southern Benguela ecosystem 1 Viability theory 2 Results 3 Summary 4 Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 3 / 19

  4. Southern Benguela ecosystem Description Demersal 5 groups • Detritus Pelagic • Phytoplankton • Zooplankton • Pelagic Fish Zooplankton • Demersal Fish Sustainable system: the biomass of each species must Phytoplankton remains in a given interval Detritus Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 5 / 19

  5. Southern Benguela ecosystem Model Yield Fisheries Yield Demersal Dynamical model of biomass evolution of each species, Pelagic including • consumption • predation Zooplankton • yield • non-assimilated biomass (only for detritus) Phytoplankton 6 th compartment: fisheries Detritus Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 6 / 19

  6. Southern Benguela ecosystem Specifications of the model ☞ ≤ ∆ Fisheries ☞ Y ′ ☞ ☞ Demersal B 5 Thresholds for biomass ( r 53 ± δ r 53 ) B 5 m i ≤ B i ≤ M i Pelagic + ( d 35 ± δ d 35 ) B 3 Trophic flows fixed by the predator and the prey Zooplankton B 3 Thresholds for fisheries y m ≤ Y ≤ y M Phytoplankton Maximal variation | Y ′ | ≤ ∆ Detritus Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 7 / 19

  7. Southern Benguela ecosystem Specifications of the model Question: How define yield policies that allow the sustainability of the ecosystem ? Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 8 / 19

  8. Viability theory Definition Viable state: There exists at least one evolution which allows to stay in the viability constraint set Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 10 / 19

  9. Viability theory Definition Viability kernel: Set of all viable states Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 11 / 19

  10. Viability theory Definition Control policies: Flexibility for the stakeholders Heavy control policy Cautious control policy Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 12 / 19

  11. Viability theory Algorithm 17 controls: trophic flows between species ( δ r ij , δ d ij ) and maximal variation of the yield ( | Y ′ | ) Particular algorithm, based on a statistical learning method, Support Vector Machines, which approximates the viability kernel Grid of 45000 points Viability kernel: subset of R 6 J.-P. Aubin Viability theory . Birkhauser, 1991. P. Saint-Pierre Approximation of viability kernel . Applied Mathematics & Optimisation, 29:187-209, 1994. Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 13 / 19

  12. Results Main Results A high level of detritus is necessary to ensure a viable path The levels of all the compartments have an influence on the boundary of the viability kernel Yield policies can be defined from the viability kernel Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 15 / 19

  13. Results Example of results I Low level of pelagic fish ★✥ ✧✦ fisheries demersal fish • maximal values of demersal fish • maximal threshold for fisheries Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 16 / 19

  14. Results Example of results II High level of pelagic fish fisheries ✤✜ ✣✢ demersal fish • minimal values of demersal fish • minimal threshold for fisheries Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 17 / 19

  15. Summary We focus on constraints on the ecosystem Fisheries can be included in the problem. Viability kernel helps to define yield policies Future work Other parameters to include ? Improve the accuracy of the results Chapel, Deffuant, Martin & Mullon Defining Yield Policies in a Viability Approach 19 / 19

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