日本地球惑星科学連合2018年大会

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[EJ] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気水圏科学複合領域・一般

[A-CG38] 北極域の科学

2018年5月24日(木) 09:00 〜 10:30 201A (幕張メッセ国際会議場 2F)

コンビーナ:津滝 俊(東京大学)、漢那 直也(北海道大学 北極域研究センター)、鄭 峻介(北海道大学 北極域研究センター、共同)、中村 哲(北海道大学大学院地球環境科学研究院)、座長:鄭 俊介(北海道大学 北極域研究センター)

09:15 〜 09:30

[ACG38-02] Vegetation distribution, controlled by topography, may affect scaling methane flux in taiga-tundra boundary, Indigirka lowland, northeastern Siberia

*両角 友喜1新宮原 諒1,2鄭 峻介2鷹野 真也1ファン ロン1シャクマトフ ルスラン1小林 秀樹3鈴木 力英3マキシモフ トロフィム4,5杉本 敦子2 (1.北海道大学大学院 環境科学院、2.北海道大学 北極域研究センター、3.海洋研究開発機構、4.寒冷圏生物学問題研究所(ロシア)、5.北東連邦大学(ロシア))

キーワード:植生、メタンフラックス、NDVI

Assessing methane emissions in high latitude regions has been conducted, although those challenges are scarce because of the limitation of monitoring observations in remote area and the spatial heterogeneity of land surface conditions on permafrost landscapes (e.g. polygon mires). Vegetation cover is the essential information for scaling methane flux, which requires wetland extent where biogenic methane is mainly released. We focused on Taiga-Tundra boundary ecosystem, covered with dwarf shrub tundra, sparse larch forest and polygonal wetlands which grow on permafrost landscape, and are thought to be affected by climate change.

The study investigated that regional methane emission with in-situ flux observations (2009-2016) and satellite remote sensing of vegetation, using spectral unmixing method to obtain fractions of small vegetation patches with ALOS AVNIR2 (JAXA) satellite image (70 × 70 km) in Indigirka lowland eastern Siberia (70oN, 148oE) in July summer. Additionally, digital surface model (AW3D30, JAXA) and series of historical surface reflectance images (Landsat5 and Landsat8, USGS/NASA) were analyzed to understand the spatial distribution and temporal dynamics of each vegetation with topographical gradient on regional scale. Landsat derived normalized vegetation index (NDVI) trends in several recent years indicated that vegetation growth was probably topographically differed at approx. < 18 m and mainly expected on tall erect willows (Salix boganidensis and others). There was no methane emission observed in willow class, therefore, lower topographic land cover might be partly altered by less methane emitting willow cover and might affect local net methane emission. Vegetation data supported by topographic analysis allows us to describe regional impact of observed CH4 emission, and expected to contribute research for vegetation dynamics and CH4 emission in circumarctic terrestrial ecosystem.