日本地球惑星科学連合2014年大会

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セッション記号 A (大気海洋・環境科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG36_29PM2] 北極域の科学

2014年4月29日(火) 16:15 〜 18:00 311 (3F)

コンビーナ:*齊藤 誠一(北海道大学大学院水産科学研究院)、猪上 淳(国立極地研究所)、原田 尚美((独)海洋研究開発機構)、鈴木 力英(海洋研究開発機構 地球環境変動領域)、座長:鈴木 力英(海洋研究開発機構 地球環境変動領域)

17:15 〜 17:30

[ACG36-12] 地上と衛星の統合観測による周北極域の植生フェノロジーの検出の高精度化

*永井 信1鄭 峻介2小林 秀樹1伊川 浩樹3中井 太郎4金 龍元3鈴木 力英1杉本 敦子2 (1.海洋研究開発機構地球環境変動領域、2.北海道大学大学院地球環境科学研究院、3.アラスカ大学国際北極圏研究センター、4.名古屋大学地球水循環研究センター)

キーワード:フェノロジー, リモートセンシング, 陸域生態系, シベリア, アラスカ, 地上真値

To accurately evaluate the spatio-temporal variability of ecosystem functions and service in sub- and Arctic regions under rapid meteorological and climate changes, global, long-term, and comprehensive phenological observations are required. Towards this aim, satellite remote-sensing is useful to detect the spatio-temporal variability of plant phenology such as the timing of start (SGS) and end of growing season (EGS). However, from the in situ ecological research viewpoint, the satellite remote-sensing has not been sufficiently tested and validated by ground-truthing. Here, (1) we performed daily field observations with time-lapse digital cameras in boreal forests in Alaska and Siberia; (2) we examined the relationship between satellite-observed vegetation indices and plant phenology; and (3) we evaluated the spatio-temporal variability of the timing of SGS and EGS in sub- and Arctic regions by using MODIS Terra and Aqua-observed green-red vegetation index (GRVI). We found that (1) satellite-observed vegetation indices (i.e. NDVI, EVI, and GRVI) mainly detected the plant phenology of forest floor in sparse forests; (2) large year-to-year variability of the timing of SGS was detected in eastern Siberia and western Ural Mountains, while that of EGS was not clearly detected; and (3) in contrast, large year-to-year variability of the timing of EGS was detected in western Alaska, which is mainly covered by tundra vegetation, while that of SGS was not clearly detected.