Tohru Nakajima

Research field (1)： Computational science

Research theme for competitive and other funds (6)：

2020 - 2023 広葉樹林化のための人工林撤退戦略を経済性から考える
2018 - 2023 Quantitative reconstruction of long-term growth process for old Sugi plantation stands using historical forest management records and past aerial photos
2016 - 2019 Calculation of thinning volume considering cascade use at prefecture level
2013 - 2016 Developing harvest prediction model in a national scale by adding up prefectural final cutting and utilization thinning volumes
2012 - 2016 The forest resource simulation system based on the combination between stand growth prediction and three dimensional measurement

Show all

Papers (25)：

Hayato Kamei, Tohru Nakajima, Satoshi Tatsuhara. Evaluation of carbon emission reduction effect of Cryptomeria japonica stand management in Yamagata Prefecture, Japan. Canadian Journal of Forest Research. 2024
Kyohei Shibano, Tohru Nakajima, Gento Mogi. Wood traceability system using blockchain and zero-knowledge proof. Proceedings of the 1st Blockchain and Cryptocurrency Conference (B2C' 2022). 2022
Takuya Hiroshima, Tohru Nakajima, Hidesato Kanomata, Norifumi Hotta. Simulation of Commercial Thinning Volume in 47 Prefectures of Japan for the Purchase Period of 20 Years Under the Feed-in Tariff Scheme for Renewable Energy. Journal of the Japanese Forest Society. 2021. 103. 6. 409-415
Takuya Hiroshima, Keisuke Toyama, Satoshi N. Suzuki, Toshiaki Owari, Tohru Nakajima, Seiji Ishibashi. Long observation period improves growth prediction in old Sugi (Cryptomeria japonica) forest plantations. Journal of Forest Research. 2020. 25. 3. 1-9
Minowa, Y, Owari, T, Nakajima, T, Inukai, H. Association between visual stem indicators in tree marking operation for natural forest management under selection system: An analysis using Bayesian network. Journal of the Japanese Forest Society. 2019. 101. 6. 278-288

ｍore...

MISC (56)：

Kamei Hayato, Nakajima Tohru, Tatsuhara Satoshi. An assessment of the effect of reducing carbon emission by forest management practices using LCA. The Japanese Forest Society Congress. 2023. 134. 283
Hata Tateki, Nakajima Tohru, Inoue Masafumi. Issues for stable supply of thinnings from the aspect of logging cost. The Japanese Forest Society Congress. 2019. 130. 0. 7
Hiroshima Takuya, Nakajima Tohru. Mid-to-long term prediction of commercial thinning volumes in 47 prefectures. The Japanese Forest Society Congress. 2019. 130. 0. 75-75
Minowa Yasushi, Owari Toshiaki, Nakajima Tohru, Inukai Hiroshi. Extraction of Decision Rules for Tree Marking in a Natural Forest under a Selection System:A Machine Learning Approach. Journal of the Japanese Forest Society. 2018. 100. 6. 208-217
Wada Hiroki, Yoshida Habuki, Yamamoto Eriko, Nakajima Tohru. Report on Summer Symposium 2017 and Autumn Conference Presentation of the Japan Society of Forest Planning. Japanese Journal of Forest Planning. 2018. 51. 2. 85-89

ｍore...

Awards (2)：

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page