Multiple Species Boreal Forests – What Faustmann Missed
Recent research in natural sciences shows that the dynamics in boreal forests are much more complex than what many models traditionally used in forestry economics reflect. This essay analyzes some challenges of accounting for such complexity. It shows that the optimal harvesting strategy for forest owners is history dependent and for some states of the forest, more than one strategy may be optimal.This paper confirms earlier literature on shallow lakes and coral reefs and shows that this kind of phenomena seem much more common than previously thought. They are valid for a wide range of ecosystems that cover large surfaces and they do not depend on the choice of some specific function to model the non-linearity. There are also indications that theses results could be obtained even for resources with concave growth if at least one species with non-linear growth affects their dynamics. Copyright Kluwer Academic Publishers 2003
Volume (Year): 26 (2003)
Issue (Month): 4 (December)
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- W.A. Brock & D. Starrett, 2003. "Managing Systems with Non-convex Positive Feedback," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(4), pages 575-602, December.
- Christophe Deissenberg, Gustav Feichtinger, Willi Semmler and Franz Wirl, 2001. "History Dependence and Global Dynamics in Models with Multiple Equilibria," Computing in Economics and Finance 2001 257, Society for Computational Economics.
- M. Kurz, 1968. "The General Instability of a Class of Competitive Growth Processes," Review of Economic Studies, Oxford University Press, vol. 35(2), pages 155-174.
- Wagener, F. O. O., 2003. "Skiba points and heteroclinic bifurcations, with applications to the shallow lake system," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1533-1561, July.
- W.-J. Beyn, T. Pampel, W.Semmler, 2001. "Dynamic optimization and Skiba sets in economic examples," Computing in Economics and Finance 2001 29, Society for Computational Economics.
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