Regulation of even-aged forests with inclusion of environmental constraints

This study aimed to propose alternative methods of inclusion of environmental constraints in forest regulation models. Models were constructed for an experimental rural estate with a total planted area of 3.491 ha which was divided into 135 management units. The formulation of the regulation models...

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Veröffentlicht in:CERNE 2014-03, Vol.20 (1), p.29-36
Hauptverfasser: Binoti, Daniel Henrique Breda, Binoti, Mayra Luiza Marques da Silva, Leite, Helio Garcia, Gleriani, José Marinaldo, Oliveira, Márcio Leles Romarco de, Campos, João Carlos Chagas, Monte, Marco Antonio
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Sprache:eng
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Zusammenfassung:This study aimed to propose alternative methods of inclusion of environmental constraints in forest regulation models. Models were constructed for an experimental rural estate with a total planted area of 3.491 ha which was divided into 135 management units. The formulation of the regulation models included integer constraints for all management units. Genetic algorithm metaheuristic was used for solving the models. For comparison purposes, the classical model of forest regulation (model I) was used, and the model with adjacency constraints. The proposed formulations proved to be environmentally more effective than the imposition of adjacency constraints. Neste estudo, objetivou-se propor formas alternativas de inclusão de restrições ambientais nos modelos de regulação florestal. Os modelos foram construídos para uma fazenda modelo, com uma área de efetivo plantio de 3.491 ha, divididos em 135 unidades de manejo. Os modelos de regulação foram formulados, incluindo restrições de inteireza para todas as unidades de manejo. Utilizou-se meta-heurística algoritmo genético para a resolução dos modelos. Para efeito de comparação, foi empregado o modelo clássico de regulação florestal (modelo I), e o modelo com restrições de adjacência. As formulações propostas demonstraram ser ambientalmente mais eficientes do que a imposição de restrições de adjacência.
ISSN:0104-7760
2317-6342
0104-7760
2317-6342
DOI:10.1590/S0104-77602014000100004