Planificación Forestal con adyacencias bajo criterios múltiples

• Hernández Huelin, Mónica ^[1] ; Gómez Núñez, Trinidad ^[1] ; Molina Luque, Julián ^[1] ; León Sánchez, M. Amparo ^[2] ; Caballero Fernández, Rafael ^[1]
  1. [1] Universidad de Málaga

     Universidad de Málaga

     Málaga, España

     
  2. [2] Universidad de Pinar del Río

     Universidad de Pinar del Río

     Cuba

     
• Localización: Anales de ASEPUMA, ISSN-e 2171-892X, Nº. 18, 2010
• Idioma: español
• Enlaces
  • Texto completo (pdf)
• Resumen
  • español

    En este trabajo se presenta un modelo multiobjetivo no lineal para la planificación forestal de una plantación productora de madera, considerando aspectos económicos y de protección ambiental. Además, incorporaremos restricciones espaciales que pretenden limitar el área contigua máxima a la que se aplica tala rasa. El modelo desarrollado lo aplicaremos a una plantación cubana perteneciente a la Empresa Forestal Integral Macurije, situada en la provincia de Pinar del Río. Un aspecto a tener en cuenta en las plantaciones cubanas es que presentan una composición desequilibrada por grupos de edad. Por ello, además de los objetivos clásicos en la planificación forestal, se ha de añadir un objetivo que trate de equilibrar la distribución por edades al finalizar el horizonte temporal, para obtener así un flujo constante de madera. La resolución del problema la abordaremos mediante un método metaheurístico denominado SSPMO.

  • English

    In this work, a forest harvesting planning problem is solved via a non linear aspects. We also incorporate spatial constraints aimed at limiting the maximum adjacent area to which clearcutting can be applied. The model proposed is applied to a timber production plantation in Cuba belonging to the forestry company “Empresa Forestal Integral Macurije”, located in the region of Pinar del Río. One factor to be taken into account in Cuban plantations is that the forest has a highly unbalanced age distribution. Therefore, in addition to the classical objectives of forest planning, in this plantation we have the extra goal of rebalancing age distribution by the end of the planning horizon. The problem is solved by applying a metaheuristic method based on Scatter Search called SSPMO.

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