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Báo cáo lâm nghiệp: "Harvest scheduling with spatial aggregation for two and three strip cut system under shelterwood management"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí lâm nghiệp đề tài: Harvest scheduling with spatial aggregation for two and three strip cut system under shelterwood management. | JOURNAL OF FOREST SCIENCE 57 2011 6 271-277 Harvest scheduling with spatial aggregation for two and three strip cut system under shelterwood management M. Konoshima1 R. Marusák2 a. Yoshimoto3 ỵ Graduate School of Life Sciences Tohoku University Aoba Sendai Japan 2Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague Prague Czech Republic 3Department of Mathematical Analysis and Statistical Inference The Institute of Statistical Mathematics Tachikawa Tokyo Japan 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 Forest managers are increasingly confronted with complex and diverse management problems such as the loss of biodiversity disruption of ecosystem services and damage from natural disturbances. To mitigate the damage- or risk-associated with these management issues it is often prudent to consider allocation of management activities over space and time because any management activity in a given management unit could impact other spatially-related units. For example natural disturbances such as windthrow fire or insect infestation involve spatial dynamics that can spread a damage-causing factor over space and time. Thus withholding corrective management .