Aggregating forest harvesting activities in forest plantations through Integer Linear Programming and Goal Programming |
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| Institution: | 1. Federal University of Paraná—MSc, Caspar-Schrenk-Weg 21, 79117 Freiburg im Breisgau, Germany;2. Federal University of Paraná—Prof. Dr. Department of Forest Sciences, Av. Prof. Lothário Meissner, 900, Campus III Jardim Botânico/UFPR-Bloco B3, Gabinete 3 Jardim Botânico 80210170, Curitiba, PR, Brazil;3. Federal University of Paraná—Prof. Dr. Department of Mathematics, ACF Centro Politécnico Jardim das Américas 81531980, Curitiba, PR, Brazil;1. Center of Environmental and Resource Economics, Department of Forest Economics, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden;2. Center of Environmental and Resource Economics, Department of Economics, Umeå University, SE-901 87 Umeå, Sweden;1. Department of Plant Pathology, Nanjing Agricultural University, Nanjing 210095, PR China;2. Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, PR China;3. State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou 310029, PR China;4. State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, PR China;1. International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria;2. Chair of Forestry Economics and Forest Planning, University of Freiburg, Tennenbacher Str. 4, 79106 Freiburg, Germany |
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| Abstract: | The inclusion of criteria related to the spatial patterns resulting from forest harvesting activities is an important component of forest planning. Harvesting operations are more efficient when the harvesting areas are clustered. Therewith, it is possible to reduce the displacement of machinery and costs related to construction and maintenance of the road network. In this context, the objective of this study was to evaluate different strategies for aggregating harvesting stands in a forest plantation. We applied two Goal Programming approaches aiming at aggregating harvesting stands and an Integer Linear Programming model for including road investments into strategic forest planning. |
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| Keywords: | Clustering forest harvesting Goal programming Forest planning |
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