Data/hora: 07/06/2024 03:29:48

Provedor de dados: | 36
País: | Brazil
Título: | Optimal selective logging regime and log landing location models: a case study in the Amazon forest
Autores: | SILVA,Paulo Henrique da; GOMIDE,Lucas Rezende; FIGUEIREDO,Evandro Orfanó; CARVALHO,Luis Marcelo Tavares de; FERRAZ-FILHO,Antônio Carlos.
Data: | 2018-03-01
Ano: | 2018
Palavras-chave: | Forest planning; Reduced-impact logging; Integer linear programming; Sustainable forest management; Liocourt quocient.
Resumo: | ABSTRACT Reduced-impact logging is a well known practice applied in most sustainable forest management plans in the Amazon. Nevertheless, there are still ways to improve the operational planning process. Therefore, the aim of this study was to create an integer linear programming (ILP) to fill in the knowledge gaps in the decision support system of reduced impact logging explorations. The minimization of harvest tree distance to wood log landing was assessed. Forest structure aspects, income and wood production were set in the model, as well as the adjacency constraints. Data are from a dense ombrophylous forest in the western Brazilian Amazon. We applied the phytosociological analysis and BDq method to define the selective logging criteria. Then, ILP models were formulated to allow the application of the constraints. Finally, 32 scenarios (unbalanced forest, UF, and balanced forest, BF) were generated and compared with real executed plans (RE). Robust results were achieved and the expected finding of each scenario was met. The feasibility to integrate ILP models in uneven-aged forest management projects was endorsed. Consequently, the UF and BF scenarios tested were efficient and concise, introducing new advances for forest management plans in the Amazon. The proposed models have a high potential to improve the selective logging activities in the Amazon forest.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672018000100018
Editor: | Instituto Nacional de Pesquisas da Amazônia
Relação: | 10.1590/1809-4392201603113
Formato: | text/html
Fonte: | Acta Amazonica  v.48 n.1 2018
Fonte: | info:eu-repo/semantics/openAccess