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Optimal Forest Management in the Presence of Intraspecific Competition

Author

Listed:
  • RENAN GOETZ
  • ANGELS XABADIA
  • ELENA CALVO

Abstract

The Escalator Boxcar Train method is used to solve the distributed optimal control problems of forest management numerically. It takes into account intraspecific competition for scarce resources such as light, space, and nutrients during reproduction, growth, and mortality. It provides an alternative to gradient projection methods and Markov processes. It is implemented with standard software. The application is on the optimal forest management regime in the presence of intraspecific competition.

Suggested Citation

  • Renan Goetz & Angels Xabadia & Elena Calvo, 2011. "Optimal Forest Management in the Presence of Intraspecific Competition," Mathematical Population Studies, Taylor & Francis Journals, vol. 18(3), pages 151-171.
  • Handle: RePEc:taf:mpopst:v:18:y:2011:i:3:p:151-171
    DOI: 10.1080/08898480.2011.589761
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    Citations

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    Cited by:

    1. Renan Ulrich Goetz & Natali Hritonenko & Ruben Mur & Àngels Xabadia & Yuri Yatsenko, 2008. "Climate Change and the Cost of Carbon Sequestration: The Case of Forest Management," Working Papers 329, Barcelona Graduate School of Economics.
    2. Terry Heaps, 2014. "Convergence of Optimal Harvesting Policies to a Normal Forest," Discussion Papers dp14-01, Department of Economics, Simon Fraser University.
    3. Heaps, Terry, 2015. "Convergence of optimal harvesting policies to a normal forest," Journal of Economic Dynamics and Control, Elsevier, vol. 54(C), pages 74-85.

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