Variations in environmental conditions affect renewable resource growth. The ability to predict such variations is improving, providing scope for improved management. We generalize a common stochastic stock recruitment model to explore how optimal management changes with environmental prediction. We obtain three main results. First, while it might seem that a prediction of adverse future conditions should lead to more conservative management, the opposite may be true. Second, optimal management requires only a one-period-ahead forecast, suggesting forecast accuracy is more important than forecast lead time. Finally, we derive conditions on environmental fluctuations guaranteeing positive optimal harvest in every period.
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Volume (Year): 34 (2001) Issue (Month): 1 (February) Pages: 196-211 Download reference. The following formats are available: HTML
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Sethi, Gautam & Costello, Christopher & Fisher, Anthony C. & Hanemann, William Michael & Karp, Larry S., 2002.
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