Copyright (c) 2013 John L. Jerz

Management of ... Lakes Subject to Potentially Irreversible Change (Carpenter, Ludwig, Brock, 1998)

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The Case for Using Probabilistic Knowledge in a Computer Chess Program (John L. Jerz)
Resilience in Man and Machine

Managing a complex ecosystem has similar problems to playing a game. In fact, at a conceptual level, they aim for the same goals, which are to understand the cause and effect relationships well enough to make planning meaningful.

Introduction Resilience, the capacity of a nonlinear system to remain within a stability domain (Holling 1973, Ludwig et al. 1997), is a central concept. Surprise and crisis are often the consequence when an ecosystem shifts between stability domains. Fishery collapse is a well-studied example (Walters 1986). Crisis may provide opportunities for learning, introduction of novel approaches, and reorganization, or it may prompt ever more rigid policies for ecosystem management (Gunderson et al. 1995). Paradoxically, rigid management systems can create conditions favorable to shifts in stability domains (Holling and Meffe 1996). Thus it seems important to understand the interactions of ecosystem resilience with social decision-making systems (Holling and Sanderson 1996).
 
p.3-4 The application of economics to ecosystem management raises a number of fundamental questions. How should alternate states, thresholds, and irreversible changes in the ecosystem affect economic policy prescriptions? These phenomena are central to ecosystem resilience, but they have not been addressed effectively in economic analyses. How should environmental stochasticity and uncertain ecological predictions affect economic analyses? Although there is an extensive literature on making decisions in the presence of uncertainty (e.g. Lindley 1985, Walters 1986), the implications for managing nonlinear ecosystems are not yet well understood.
 
p.26 These results indicate that policies based on the assumption that lake dynamics are precisely known will underestimate attainable P[hosphorus] concentrations, and overestimate economic value, in comparison with policies that account for uncertainty.
 
p.33 An important limitation of our model is its highly simplified representation of social dynamics. Abstract utility functions are helpful for gaining the general insight reported here, but fall well short of capturing the trends, shocks and nonlinearities that arise in social systems and may impact notions of utility or alter decisions through processes that have nothing to do with economic policy choice

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