Developing harvest prediction model in a national scale by adding up prefectural final cutting and utilization thinning volumes
| Project/Area Number |
25450207
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Forest science
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
NAKAJIMA Tohru 東京大学, 大学院農学生命科学研究科, 助教 (10598775)
KANOMATA Hidesato 独立行政法人森林総合研究所, 林業経営・政策研究領域, 研究員 (00353649)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | 主伐 / 間伐 / 搬出 / 都道府県 / 再生プラン / 国産材 / 人工林 / 都道府県別 / 2020年 / 森林・林業基本計画 / 森林・林業再生プラン / 新基本計画 / LYCS / 搬出率 / 伐採照査 / 民有林 |
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| Outline of Final Research Achievements |
We developed harvest prediction model in a national scale by adding up prefectural final cutting and utilization thinning volumes and discussed the possibility of achieving domestic timber supply goal of 3.9 million m3 in the year 2020. To achieve the goal, it is required to fulfill 1.4-1.9 times of final cutting volume and 1.9-2.7 times of utilization thinning volume compared with those volumes in 2012. As a result, to increase final cutting volume in 2020 1.6 times from that in 2012, it is considered effective to shorten the final cutting rotation age by -5% in every 5 years by harvesting around the peak of age distribution (55-65 years old) of current planted forests intensively. Furthermore, to increase utilization thinning volume in 2020 2.0 times from that in 2012, it is required to fulfill 1.02-1.88 times of thinning area compared with that in 2012 and 28-70% of extraction ratio of thinned trees in overall prefectures.
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Report
(4 results)
Research Products
(13 results)
