| Project/Area Number |
15K14751
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Forest science
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Owari Toshiaki 東京大学, 大学院農学生命科学研究科(農学部), 准教授 (00292003)
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| Co-Investigator(Kenkyū-buntansha) |
坂上 大翼 東京大学, 大学院農学生命科学研究科(農学部), 助教 (90313080)
當山 啓介 東京大学, 大学院農学生命科学研究科(農学部), 助教 (00613001)
中村 和彦 東京大学, 空間情報科学研究センター, 特任研究員 (70707075)
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| Research Collaborator |
EGUCHI Yoshinori
FUKUSHI Kenji
INOUE Takashi
INUKAI Shinya
JAYATHUNGA Sadeepa
KASAHARA Hisatomi
KIMURA Kota
KOBAYASHI Tetsuyuki
KOIKE Yukihiro
MATSUI Masaki
NOBU Eiichi
TOKUNI Masaki
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 天然林施業 / 林分施業法 / 経験知 / 知識ベース / 林種区分 / 施業方針 / 選木 / 採材 |
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| Outline of Final Research Achievements |
To assist decision making of natural forest management (NFM) under uncertainty, this study aimed to extract empirical knowledge of experienced forest engineers and to develop a knowledge base for NFM using innovative information technologies. We successfully extracted and analyzed empirical knowledge on four management techniques for NFM under the stand-based silvicultural management system (spatially explicit stand classification of natural forests, formulation of silvicultural prescriptions, tree marking for harvest under the selection system, and stem conversion to logs). The usefulness of our knowledge base was proved operationally through the on-site application at the University of Tokyo Hokkaido Forest, northern Japan.
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