A model to estimate available timber and forest biomass and reforestation expenses in a mountainous region in Japan

Abstract

We developed a model to estimate supply potentials and available amounts of timber and forest biomass resources from profitable sub-compartments of thinning and final felling operations. Economic balances were estimated while considering not only harvesting expenses but also reforestation expenses after final felling, which should be considered for sustainable forest management. Harvesting expenses were estimated based on two types of timber harvesting systems and three types of forest biomass harvesting systems in each sub-compartment. Then, the model was applied to Nasushiobara city of Tochigi prefecture, Japan. Reforestation expenses had large negative impacts on the financial balances of final felling operations. Few sub-compartments were profitable after considering reforestation expenses. Most profitable sub-compartments were those with mechanized operation systems and landing sales. These accounted for 17.19% of all sub-compartments, while only 5.75% of the sub-compartments were profitable based on their current operation systems and landing sales. Although the overall supply potentials of timber and forest biomass resources were 380,000 m³ and 210,000 Mg, respectively, and 15 times the planned harvest of coniferous tree volume of 25,000 m³·year⁻¹ and 50 times the annual demand for the woody gasification power generation of 4,000 Mg·year⁻¹ in Nasushiobara, available amounts of timber and forest biomass resources were only 49,429 m³ and 33,333 Mg, which were 13.0% and 15.7% of supply potentials for landing sales with mechanized operation systems.

Keywords

forest biomass resources / supply potentials / available amounts / economic balance / GIS

References

[1] Aruga K, Yoshioka T, Sakurai R. Long-term feasibility of timber and forest biomass resources at an intermediate and mountainous area-Balance of harvesting volumes using random search. Journal of Japan Forest Engineering Society, 2006, 21: 49-59.

[2] Aruga K, Tasaka T, Yoshioka T, Sakurai R, Kobayashi H. Long-term feasibility of timber and forest biomass resources at an intermediate and mountainous area (2)-Examining the optimum scale of an energy plant. Journal of Japan Forest Engineering Society, 2006, 21: 185-192.

[3] Dijkstra EW. A note on two problems in connexion with graphs. Numerische Mathematik, 1959, 1: 269-271.

[4] Forestry Agency, The Ministry of Agriculture, ForestryFisheries of Japan Annual report on trends I Forest and forestry. Fiscal Year 2008 (summary), 2009 31.

[5] Iuchi M. Development of the support system for biomass energy business plans—The data base and evaluation models to simulate the collection cost. Socio-economic Research Center, 2004, Y03023 26.

[6] Kamimura K, Kuboyama H, Yamamoto K. Estimation of spatial distribution on wood biomass supply potential for three prefectures in the northern Tohoku Region. Journal of the Japan Institute of Energy, 2009, 88: 877-883.

[7] Kinoshita T, Inoue K, Iwao K, Kagemoto H, Yamagata Y. A spatial evaluation of forest biomass usage using GIS. Applied Energy, 2009, 86: 1-8.

[8] Kinoshita T, Ohki T, Yamagata Y. Woody biomass supply potential for thermal power plants in Japan. Applied Energy, 2010, 87: 2923-2927.

[9] Kobayashi H. Forest Infrastructure Plan Theory. 1997, Tokyo: Nihon Ringyo Kyokai, 205.

[10] Mikamo Forest Owners’ Cooperative, Sumitomo Osaka Cement Company Research Report on Extracting Forest Biomass Resources, 2008 11.

[11] Möller B, Nielsen PS. Analyzing transport costs of Danish forest wood chip resources by means of continuous cost surfaces. Biomass and Bioenergy, 2007, 31: 291-298.

[12] Murakami A, Ito K, Saito M, Aruga K, Tasaka T. Extraction of production forests for sustainable forest management based on economic balances in the Kanuma Area of Tochigi Prefecture. Journal of Forest Planning, 2011, 10: 245-254.

[13] Nakahata C, Aruga K, Saito M, Ito K, Murakami A, Kanetsuki K, Maeda Y. Improvement on operational efficiencies and costs of extracting thinned woods using a processor and a forwarder in Nasunogahara area-Based on analyses of current operations. Bulletin of Utsunomiya University Forest, 2010, 46: 19-25.

[14] Okawabata O. An estimation of necessary manpower and cost of reforestation on cedar and cypress. Journal of Japan Forest Engineering Society, 2003, 18: 195-200.

[15] Ranta T. Logging residues from regeneration fellings for biofuel production-a GIS-based availability analysis in Finland. Biomass and Bioenergy, 2005, 28: 171-182.

[16] Sawaguchi I. Studies on forest-road evaluation and forest-road standards in mountain forests: (I) characteristics of parameters for forest-road evaluation. Bulletin of the Forestry and Forest Products Research Institute, 1996, 372: 1-110.

[17] Tochigi Prefectural Government. Forestation program standard unit cost table of Fiscal year 2010, 2010

[18] Tochigi Prefectural Government. Nakagawa regional forest plan, 2010

[19] Yagi K, Nakata T. Economic analysis on small-scale forest biomass gasification considering regional resource distribution and technical characteristics. Journal of the Japan Institute of Energy, 2007, 86: 109-118.

[20] Yamamoto H, Nakata T, Yabe K. Design of biomass co-firing system considering resource distribution and transportation optimization. Journal of the Japan Institute of Energy, 2010, 89: 42-52.

[21] Yamaguchi R, Aruga K, Murakami A, Saito M, Ito K. Development of the model to estimate the harvesting volumes and costs of logging residues considering economic balances of timber and logging residue harvesting in Sano city, Tochigi Prefecture. Journal of the Japan Institute of Energy, 2010, 89: 982-995.

[22] Yoshioka T, Sakai H. Amount and availability of forest biomass as an energy resource in a mountain region in Japan: A GIS-based analysis. Croatian Journal of Forest Engineering, 2005, 26: 59-70.

[23] Zenkoku Ringyo Kairyo Fukyu Kyokai. Management of Forestry Mechanization. 2001, Tokyo: Zenkoku Ringyo Kairyo Fukyu Kyokai, 239.