emissions mitigation, etc.
Introduction to state control dynamical models in discrete time.
Constraints, strategies.
Michel DE LARA (ENPC, France) Vincent MARTINET (INRA, France)
Date: 2011 November 14-18
Email. delara[]cermics.enpc.fr , vincent.martinet[]grignon.inra.fr
Key Words. Natural resources management, Economics, Ecology, Sustainability, Viability, Multicriteria approach, Modeling, Simulation, Uncertainty.
Language. English.
Location. Bren School of Environmental Science and Management
Website. http://cermics.enpc.fr/~delara/ENSEIGNEMENT/UCSB2011/UCSB2011.html
Evaluation. Presence and participation. Computer practical works notation.
Short description.
This course introduces the viability approach, a dynamic and multicriteria framework to deal with sustainability issues. This approach allows researchers of different disciplines (e.g., economics, biology, sociology) to develop a common dynamic model to describe the system under study, and define the sustainability objectives with constraints that have to be satisfied at all times (e.g., economic, ecological and social constraints). This provides powerful tools for sustainable decision-making. During the whole course, the viability approach will be compared to usual economic and ecological approaches.
This approach will be applied to natural resources management (nonrenewable and renewable resources). Deterministic and uncertainty cases will be studied. Both theoretical and practical methods will be presented. Practical exercises in computer lab will allow the student to apply what has been learnt to real world case studies (fisheries management, epidemics control).
Skills acquired.
Knowing and using concepts, models, mathematical and numerical methods of viability theory
allowing to formalize and to treat issues concerning sustainability and
precaution in the management of natural resources and of the
environment, more specifically:
Teaching courses and practical work with software Scilab alternate to make intuitive the more abstract and formal parts of the course.
2011 Monday November 14, 4:30-7pm. Classroom BH 1510.
Introduction to the economics of sustainability, Sustainability criteria, Conservation issues, Consequences for natural resources management.
Introduction to the theory of viability: principle, interpretation in the context of sustainability theory, application to nonrenewable resources economics (the climate change issue), application to renewable resources economics (the fishery).
(Heal, 1998) (Martinet, 2007) (Martinet and Doyen, 2007) (Martinet, 2011) (Martinet, 2012) (Neumayer, 2010)
2011 Tuesday November 15, 5-7:30pm. Classroom BH 1510.
Viability : examples, theory and methods. slides
Examples of natural resource management models and of
environmental economics models: exhaustible resource, forest management,
fishing management, CO emissions mitigation, etc.
Introduction to state control dynamical models in discrete time.
Constraints, strategies.
(Béné, Doyen, and Gabay, 2001; Rapaport, Terreaux, and Doyen, 2006; Béné and Doyen, 2003; Martinet, Thébaud, and Rapaport, 2010; Béné and Doyen, 2000; Martinet, Doyen, and Thébaud, 2007; Martinet and Doyen, 2007) (De Lara, 2008)
2011 Wednesday November 16, 6-8:30pm. Computer laboratory BH 3035.
Computer laboratory: practical work with software Scilab.
Viable harvesting of a renewable resource.
2011 Friday November 18, 9-11:30am. Classroom BH 1510.
Control dynamical systems with uncertainty. slides
Introduction to stochastic viability. Comparison with expected discounted utility.
Illustration with the case of fisheries management. slides
(Doyen and De Lara, 2010; Doyen, De Lara, Ferraris, and Pelletier, 2007; De Lara, 2009)
2011 Friday November 18, 1-3:30pm. Computer laboratory BH 3035.
Computer laboratory: practical work with software Scilab.
Sustainable management of fish stock based on spawning stock biomass indicator.