| Project/Area Number |
26242026
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Geography
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| Research Institution | Mie University (2016-2017)
Japan Agency for Marine-Earth Science and Technology (2014-2015) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
齋藤 仁 関東学院大学, 経済学部, 准教授 (00709628)
朴 昊澤 国立研究開発法人海洋研究開発機構, 北極環境変動総合研究センター, ユニットリーダー代理 (10647663)
太田 岳史 名古屋大学, 生命農学研究科, 教授 (20152142)
檜山 哲哉 名古屋大学, 宇宙地球環境研究所, 教授 (30283451)
石川 守 北海道大学, 地球環境科学研究院, 准教授 (50373452)
小谷 亜由美 名古屋大学, 生命農学研究科, 助教 (80447242)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥43,030,000 (Direct Cost: ¥33,100,000、Indirect Cost: ¥9,930,000)
Fiscal Year 2017: ¥7,930,000 (Direct Cost: ¥6,100,000、Indirect Cost: ¥1,830,000)
Fiscal Year 2016: ¥9,490,000 (Direct Cost: ¥7,300,000、Indirect Cost: ¥2,190,000)
Fiscal Year 2015: ¥10,140,000 (Direct Cost: ¥7,800,000、Indirect Cost: ¥2,340,000)
Fiscal Year 2014: ¥15,470,000 (Direct Cost: ¥11,900,000、Indirect Cost: ¥3,570,000)
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| Keywords | 永久凍土 / 森林科学 / 水文 / GIS / 地図化 |
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| Outline of Final Research Achievements |
This research project clarified spatial and temporal variations in degradation processes in permafrost region in eastern Eurasia, based on comprehensive analyses utilizing field work for vegetation-permafrost relationship, leveling on active layer and topographical change along permafrost degradation combining remote sensing technics, permafrost hydrological analyses and improved land-surface modeling. Notable results are summarized as follows. Spatial variation in active layer thickness was closely related with vegetation changes. Spatial structure of thermokarst development precisely mapped along with vegetation and active layer conditions. The permafrost degradation was also found in water-resource form geochemical composition in spring water. Based on these findings from field work, effect of snow depth, soil organic and moss layer in land surface model were sufficiently improved the performance to simulate permafrost temperature and active layer thickness in this region.
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