| Project/Area Number |
11660154
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
林学
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| Research Institution | MIYAZAKI UNIVERSITY |
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Principal Investigator |
ITO Satoshi Miyazaki Univ., Fac. of Agri., Assoc. Prof., 農学部, 助教授 (00231150)
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| Co-Investigator(Kenkyū-buntansha) |
TAKATA Katsuhiko Akita Pref. Univ., Wood Research Center, Assoc. Prof., 木材高度加工研究所, 助教授 (50264099)
TAKAGI Masahiro Miyazaki Univ., Fac. of Agri., Assoc. Prof., 農学部, 助教授 (70315357)
NOGAMI Kangoro Miyazaki Univ., Fac. of Agri., Prof., 農学部, 教授 (10038242)
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| Project Period (FY) |
1999 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥3,200,000 (Direct Cost: ¥3,200,000)
Fiscal Year 2002: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2001: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2000: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1999: ¥1,500,000 (Direct Cost: ¥1,500,000)
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| Keywords | Q. hondae / Topography / Ecological Distribution / Ecophysiology / Potential habitats / Soil moisture regime / Growth / Population structure / ハナガガシ / ハビタット / 植物社会 / 多変量解析 / ツブラジイ / 林冠ギャップ / 土壌含水率 / 物質分配 / 地表撹乱 / 下部谷壁斜面 / 年輪解析 |
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| Research Abstract |
We investigated ecological and ecophysiological characteristics of Quercus hondaeto to develop conservation strategy for this species. The findings are: 1) Q. hondae has thier inhabitats in the lowest elevation among native evergreen oak species. 2) They successfully maintain on the lower slopes and bottomland, affected by resource and disturbance of the topography. 3) Tree density in artificial conifer forests of the species was strongly dependent on stand age, and also affected by seed source availability. 4) Q. hondae has strong dependence of their growth on their own size, compared with the other co-dominant species. 5) Q. hondae showed non-pioneer characteristics in terms of photosynthetic response to lights, and less drought-tolerant leaf water relations. 6) Potential distribution was detected on GIS by using DEM and seed source distribution information.
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