Estratégias de regulação de florestas equiâneas com vistas ao manejo da paisagem

• Ano de defesa: 2010
• Autor(a) principal: Binoti, Daniel Henrique Breda
• Orientador(a): Leite, Hélio Garcia
• Banca de defesa: Campos, João Carlos Chagas , Souza, Agostinho Lopes de , Oliveira, Márcio Leles Romarco de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Ciência Florestal
• Departamento: Manejo Florestal; Meio Ambiente e Conservação da Natureza; Silvicultura; Tecnologia e Utilização de
• País: BR
• Palavras-chave em Português: Algorítmos genéticos; Manejo florestal; Floresta regulada
• Palavras-chave em Inglês: Genetic algorithms; Forest management; Regulated forest
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::RECURSOS FLORESTAIS E ENGENHARIA FLORESTAL::MANEJO FLORESTAL
• Link de acesso: http://locus.ufv.br/handle/123456789/3038

The objective of the present work to present alternative formulation of models of forest regulation, with the inclusion of environmental and social characteristics in order to landscape management. The models were constructed for a model farm with an area of effective planting of 3491 ha, divided into 135 management units. The regulation models were formulated as model I, including integer constraints for the management units. We used meta-heuristic genetic algorithm for solving the models. The alternative proposals were formulated: (i) classical formulation of a model of regulation, (ii) application of adjacency constraints, (iii) the restriction of age classes per compartment, (iv) minimizing the index of havester area (IHA ), (v) maximizing the overall net present value (NPV), with the application of penalties depending on the IHA, (vi) minimization of the variations of distance between management units in the presence of collection and delivery point of production, (vii ) maximizing the net present value (NPV), with the application of permitted variation in the distance (5, 10, 15 and 20%) between the management units in the presence of collection and delivery point of production, (viii) minimization varying the distance between the units of management with harvesting operations, (ix) maximizing the net present value (NPV), with permission of the variation of the distance (5, 10, 15 and 20%) between the management units with intervention harvest, and (x) maximizing the distance between management units in the presence of harvest. The regulatory alternatives have been assessed against the IHA and the NPV. The application of genetic algorithm technique was efficient for the solution of models built with constraints and goals socioeconomic and environmental character. A comparison of volume variation to satisfy the demand of production imposed on all models. The inclusions of goals in social and environmental reduction resulted in overall net present value in all models tested, compared with conventional alternatives of regulation. The proposal of reducing the IHA presented itself economically and environmentally more satisfactory than imposing adjacency restrictions, and a significant reduction in the number of constraints. The imposition of penalties of IHA above 20% on the maximization of NPV resulted in values of IHA better than the adjacency model and higher values of NPV, which are preferred to models with adjacency constraints. The adjustment of the distance between management units in a position to harester and post delivery of the wood tends to spray the crop by distributing it throughout the forest. Maximizing the distance between management units with the intervention showed an improvement in the value of the IHA and a reduction of up to 8% of the NPV, compared with the classical model.