Adaptive Optimization of Forest Management in A Stochastic World

  • Peter Lohmander
Part of the International Series In Operations Research amp; Mana book series (ISOR, volume 99)

Management decisions should be based on the sequentially revealed information concerning prices, growth, physical damages etc. Future flexibility is valuable in a stochastic world and should be optimized. Stochastic dynamic programming, stochastic scenario tree optimization, and optimization of adaptive control functions with stochastic simulation of the objective function are relevant alternatives.


Forest Management Reservation Price Stock Level Optimal Harvest Price Risk 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Peter Lohmander
    • 1
  1. 1.Department of Forest EconomicsSLUSweden

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