Doutorado em Ciências Florestais

URI Permanente para esta coleção

http://repositorio.ufes.br/handle/10/17466

Nível: Doutorado
Ano de início: 2013
Conceito atual na CAPES: 5
Ato normativo: Portaria nº 398 de 29 de maio de 2025, publicado no DOU de 02/06/2025. Homologação do Parecer CNE/CES nº 176/2025
Periodicidade de seleção: Semestral
Área(s) de concentração:Ciências Florestais
Url do curso: https://cienciasflorestais.ufes.br/pt-br/pos-graduacao/PPGCFL/detalhes-do-curso?id=1425

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Navegando Doutorado em Ciências Florestais por Autor "Aguiar, Marcelo Otone"

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    Otimização do planejamento integrado de infraestrutura na exploração florestal na região Amazônica
    (Universidade Federal do Espírito Santo, 2019-12-05) Aguiar, Marcelo Otone; Silva, Gilson Fernandes da; https://orcid.org/0000000178536284; http://lattes.cnpq.br/8643263800313625; https://orcid.org/0000000264250012; http://lattes.cnpq.br/5622761275016363; Mauri, Geraldo Regis; https://orcid.org/0000-0002-8393-7741; http://lattes.cnpq.br/7870111209439581; Santana, Cesar Junio de Oliveira; https://orcid.org/; http://lattes.cnpq.br/5101276943283128; Marcatti, Gustavo Eduardo; https://orcid.org/0000-0003-1455-4859; http://lattes.cnpq.br/3268767286765155; Mendonca, Adriano Ribeiro de; https://orcid.org/0000000333078579; http://lattes.cnpq.br/9110967421921927
    Sustainable Forest Management (MFS) has a key role in maintaining the remaining forest. Initiatives have been relied on new technologies for planning exploration to minimize environmental impacts and reduce operating costs. In this context, this research investigates optimization methods in order to propose a methodology to assist the manager in planning the allocation of infrastructures necessary for exploitation in native forests in the Amazon, minimizing environmental damage and maximizing the use of resources. This study was divided into three main sections. The first involves the evaluation of optimization methods for allocating storage yards. The second chapter was to evaluate methods for design forest roads. And finally, the third chapter investigates two methodologies for integrated allocation of forest roads, storage yards and skid trails. The study area was the Saracá Taquera National Forest (FLONA), located in the city of Faro, Oriximiná and Terra Santa, Forest Management Unit (UMF-1A), 2018 Annual Production Unit (UPA / 2018). The results of the first chapter indicate that, among the evaluated methods, the Simulated Annealing was the most efficient for the storage yard allocation. In the second chapter, the reported experiments show that the Dijkstra algorithm was the most effective and efficient for the road layout, considering that it was able to obtain optimal solutions in faster time than the other methods evaluated for the three considered instances. The results of third chapter indicate that evaluating different quantities in allocation of store yards may favor decision making, since yards directly influence optimal allocation forest roads and trails. In addition, it can be concluded that integrated planning allows choosing best overall plan solution, which is based on allocation of infrastructure set.