Optimal selective logging regime and log landing location models: a case study in the Amazon forest
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 th...
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| Format: | Article |
| Language: | English |
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Instituto Nacional de Pesquisas da Amazônia
2018-03-01
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| Series: | Acta Amazonica |
| Subjects: | |
| Online Access: | http://www.scielo.br/pdf/aa/v48n1/1809-4392-aa-48-01-18.pdf |
| _version_ | 1818753281250295808 |
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| author | Paulo Henrique da SILVA Lucas Rezende GOMIDE Evandro Orfanó FIGUEIREDO Luis Marcelo Tavares de CARVALHO Antônio Carlos FERRAZ-FILHO |
| author_facet | Paulo Henrique da SILVA Lucas Rezende GOMIDE Evandro Orfanó FIGUEIREDO Luis Marcelo Tavares de CARVALHO Antônio Carlos FERRAZ-FILHO |
| author_sort | Paulo Henrique da SILVA |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T05:04:52Z |
| format | Article |
| id | doaj.art-e01c9fc2160d4efba1cabac0e151187b |
| institution | Directory Open Access Journal |
| issn | 0044-5967 |
| language | English |
| last_indexed | 2024-12-18T05:04:52Z |
| publishDate | 2018-03-01 |
| publisher | Instituto Nacional de Pesquisas da Amazônia |
| record_format | Article |
| series | Acta Amazonica |
| spelling | doaj.art-e01c9fc2160d4efba1cabac0e151187b2022-12-21T21:20:02ZengInstituto Nacional de Pesquisas da AmazôniaActa Amazonica0044-59672018-03-01481182710.1590/1809-4392201603113Optimal selective logging regime and log landing location models: a case study in the Amazon forestPaulo Henrique da SILVALucas Rezende GOMIDEEvandro Orfanó FIGUEIREDOLuis Marcelo Tavares de CARVALHOAntônio Carlos FERRAZ-FILHOABSTRACT 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.http://www.scielo.br/pdf/aa/v48n1/1809-4392-aa-48-01-18.pdfforest planningreduced-impact logginginteger linear programmingsustainable forest managementLiocourt quocient |
| spellingShingle | Paulo Henrique da SILVA Lucas Rezende GOMIDE Evandro Orfanó FIGUEIREDO Luis Marcelo Tavares de CARVALHO Antônio Carlos FERRAZ-FILHO Optimal selective logging regime and log landing location models: a case study in the Amazon forest Acta Amazonica forest planning reduced-impact logging integer linear programming sustainable forest management Liocourt quocient |
| title | Optimal selective logging regime and log landing location models: a case study in the Amazon forest |
| title_full | Optimal selective logging regime and log landing location models: a case study in the Amazon forest |
| title_fullStr | Optimal selective logging regime and log landing location models: a case study in the Amazon forest |
| title_full_unstemmed | Optimal selective logging regime and log landing location models: a case study in the Amazon forest |
| title_short | Optimal selective logging regime and log landing location models: a case study in the Amazon forest |
| title_sort | optimal selective logging regime and log landing location models a case study in the amazon forest |
| topic | forest planning reduced-impact logging integer linear programming sustainable forest management Liocourt quocient |
| url | http://www.scielo.br/pdf/aa/v48n1/1809-4392-aa-48-01-18.pdf |
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