Research Article

Numerical examination of the optimal bucking method to maximize profits applied in Nasu town, Tochigi Prefecture, Japan

Volume: 5 Number: 1 June 29, 2019
Kazuhiro Aruga *, Chikara Nakahata , Masashi Saito
EN

Numerical examination of the optimal bucking method to maximize profits applied in Nasu town, Tochigi Prefecture, Japan

Abstract

In this study, the optimal bucking methods were numerically applied to Nasu town, and the factors of effects on profitability of commercial thinning operations and feasibility of extracting small sized logs were discussed. As a result, commercial thinning operations could be conducted on 18% (818 ha) and 54% (2427 ha) of 35 and 45 years old forests, respectively. On the other hand, pre-commercial thinning operation would be conducted on 81% (3666 ha) and 46% (2089 ha) of 35 and 45 years old forests. This shows current situation of Japanese forestry where nearly all the thinning operations conducted were pre-commercial. Stands with extracting small sized logs accounted for approximately ten percent of the total forest area. Extracted small sized logs from 35 years old forests were more than those from 45 years old forests although saw logs from 35 years old forest were less than those from 45 years old forests. The areas of stands with extracting small sized logs were increased according to the more gentle slope and shorter forwarding distances. Thus, it was clear that the reduction of forwarding distances by establishing forest road networks were effective in order to increase stands with extracting small sized logs.

Keywords

Extraction rate, Extracting thinned woods, Economic value, Optimal bucking, Small sized log

Thanks

We are grateful to the Nasu-machi Forest Owners’ Co-operative for their cooperation during the course of this research. This study was supported by JSPS KAKENHI Grand Number 15H04508 and 16KK0168.

References

  1. Akaguma, E., Aruga, K., Okuyama, T. 2017. Analysis on economic balances of clear cutting and regeneration operations in the northern area of Tochigi prefecture. Bulletin of Utsunomiya University Forest, 53: 69-77.
  2. Akay, A.E. 2009. The effects of Forest Harvesting Techniques on Optimum Bucking Application of Oriental Spruce (Picea orientalis) Stands in Turkey. Austrian Journal of Forest Science, 127(1):25-36.
  3. Akay, A.E., Sessions, J., Serin, H., Pak, M., Yenilmez, N. 2010. Applying optimum bucking method in producing Taurus Fir (Abies cilicica) logs in Mediterranean region of Turkey. Baltic Forestry,16: 273-279.
  4. Akay, A.E., Serin, H., Pak, M. 2015. How stem defects affect the capability of optimum bucking method? Journal of the Faculty of Forestry Istanbul University, 65(2):38-45.
  5. Akay, A.E. 2017. Potential contribution of optimum bucking method to forest products industry. European Journal of Forest Engineering, 3: 61-65.
  6. ANRE, 2017. Japan’s energy. http://www.enecho.meti. go.jp/en/category/brochures (Accessed: 4 January 2019).
  7. Aruga, K., Murakami, A., Nakahata, C., Yamaguchi, R., Yoshioka, T. 2011. Discussion on economic and energy balances of forest biomass utilization for small-scale power generation in Kanuma, Tochigi prefecture, Japan. Croatian Journal of Forest Engineering, 32: 571-586.
  8. Aruga, K., Hiyamizu, G., Nakahata, C., Saito, M. 2013. Effects of aggregating forests, establishing forest road networks, and mechanization on operational efficiency and costs in a mountainous region in Japan. Journal of Forestry Research, 24: 747-754.
  9. Aruga, K., Murakami, A., Nakahata, C., Yamaguchi, R., Saito, M., Yoshioka, T. 2014. Estimating annual available amounts of forest biomass resources with total revenues and costs during the 60-year rotation in a mountainous region in Japan. Croatian Journal of Forest Engineering, 35: 125-138.
  10. Aruga, K., Liu, C., Uemura, R., Furusawa, T. 2016 Economic balance of a clearcutting operation using terrestrial LiDAR. European Journal of Forest Engineering, 2: 1-10.
APA
Aruga, K., Nakahata, C., & Saito, M. (2019). Numerical examination of the optimal bucking method to maximize profits applied in Nasu town, Tochigi Prefecture, Japan. European Journal of Forest Engineering, 5(1), 1-10. https://doi.org/10.33904/ejfe.508056
AMA
1.Aruga K, Nakahata C, Saito M. Numerical examination of the optimal bucking method to maximize profits applied in Nasu town, Tochigi Prefecture, Japan. Eur J Forest Eng. 2019;5(1):1-10. doi:10.33904/ejfe.508056
Chicago
Aruga, Kazuhiro, Chikara Nakahata, and Masashi Saito. 2019. “Numerical Examination of the Optimal Bucking Method to Maximize Profits Applied in Nasu Town, Tochigi Prefecture, Japan”. European Journal of Forest Engineering 5 (1): 1-10. https://doi.org/10.33904/ejfe.508056.
EndNote
Aruga K, Nakahata C, Saito M (June 1, 2019) Numerical examination of the optimal bucking method to maximize profits applied in Nasu town, Tochigi Prefecture, Japan. European Journal of Forest Engineering 5 1 1–10.
IEEE
[1]K. Aruga, C. Nakahata, and M. Saito, “Numerical examination of the optimal bucking method to maximize profits applied in Nasu town, Tochigi Prefecture, Japan”, Eur J Forest Eng, vol. 5, no. 1, pp. 1–10, June 2019, doi: 10.33904/ejfe.508056.
ISNAD
Aruga, Kazuhiro - Nakahata, Chikara - Saito, Masashi. “Numerical Examination of the Optimal Bucking Method to Maximize Profits Applied in Nasu Town, Tochigi Prefecture, Japan”. European Journal of Forest Engineering 5/1 (June 1, 2019): 1-10. https://doi.org/10.33904/ejfe.508056.
JAMA
1.Aruga K, Nakahata C, Saito M. Numerical examination of the optimal bucking method to maximize profits applied in Nasu town, Tochigi Prefecture, Japan. Eur J Forest Eng. 2019;5:1–10.
MLA
Aruga, Kazuhiro, et al. “Numerical Examination of the Optimal Bucking Method to Maximize Profits Applied in Nasu Town, Tochigi Prefecture, Japan”. European Journal of Forest Engineering, vol. 5, no. 1, June 2019, pp. 1-10, doi:10.33904/ejfe.508056.
Vancouver
1.Kazuhiro Aruga, Chikara Nakahata, Masashi Saito. Numerical examination of the optimal bucking method to maximize profits applied in Nasu town, Tochigi Prefecture, Japan. Eur J Forest Eng. 2019 Jun. 1;5(1):1-10. doi:10.33904/ejfe.508056