Harvest scheduling with spatial aggregation for two and three strip cut system under shelterwood management

M. Konoshima, R. Marušák and A. Yoshimoto
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M. Konoshima: Graduate School of Life Sciences, Tohoku University, Aoba, Sendai, Japan
R. Marušák: Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
A. Yoshimoto: Department of Mathematical Analysis and Statistical Inference, The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan

Journal of Forest Science, 2011, vol. 57, issue 6, 271-277

Abstract: We propose a spatial aggregation method to solve an optimal harvest scheduling problem for strip shelterwood management. Strip shelterwood management involves either a two-cut system with a preparatory-removal cut cycle, or a three-cut system with a preparatory-establishment-removal cut cycle. In this study we consider these connected sequential cuts as one decision variable, then employ conventional adjacency constraints to seek the best combination of sequential cuts over space and time. Conventional adjacency constraints exclude any spatially-overlapped strips in the decision variables. Our results show the proposed approach can be used to analyze a strip shelterwood cutting system that requires "connectivity" of management units.

Keywords: aggregation; connectivity; GIS; optimization model; spatial forest planning; wind-thrown risk (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnljfs:v:57:y:2011:i:6:id:48-2010-jfs

DOI: 10.17221/48/2010-JFS

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