日本地球惑星科学連合2023年大会

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[J] オンラインポスター発表

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

[A-CG46] 北極域の科学

2023年5月25日(木) 10:45 〜 12:15 オンラインポスターZoom会場 (9) (オンラインポスター)

コンビーナ:両角 友喜(国立環境研究所)、島田 利元(宇宙航空研究開発機構)、堀 正岳(東京大学大気海洋研究所)、川上 達也(北海道大学)

現地ポスター発表開催日時 (2023/5/24 17:15-18:45)

10:45 〜 12:15

[ACG46-P12] Responses of tree radial growth to climate changes in central Siberia deduced from dendro-ecological approach

*鄭 峻介1、Athukorala Darshana 1、Schepaschenko Dmitry 2,3、Mukhortova Liudmila 2、Farber Sergey 2、Krivobokov Leonid 2、Sokolova Nastassia 2、Tyutkova Ekaterina 2、Martynov Alexsey 2永井 信4、鷹尾 元1 (1.国立研究開発法人森林研究・整備機構 森林総合研究所、2.スカチェフ森林研究所、3.国際応用システム解析研究所、4.海洋研究開発機構)

キーワード:中央シベリア、樹木年輪、樹木成長、気候変動

Tree-ring width indices (RWI) are useful long-term indicators of historical forest productivity due to the frequently observed close relationship of the RWI with forest-level gross primary production (GPP) and/or net ecosystem exchange (NEE). While there have been recent improvements in our understanding of the historical forest productivity and its relationship with climate changes, RWI studies have some regional bias toward Europe and North America. Further efforts to fill the gaps in RWI data/study, such as in Siberia, are required.
In this study, we developed RWI chronologies over the past 80-200 years by using Larch (Larix sibirica Ledeb), Siberian pine (Pinus sibirica Du Tour) and /or Scots pine (Pinus sylvestris L.) trees at two forest sites, each with different annual/summer precipitation, in central Siberia: Baykit (61°37-39 N, 96°41-48 E) and Vanavara (60°23-37 N, 101°39-57 E). The temporal change of RWI and its relationship with climate changes reflected site differences better than tree species differences. At Baykit site, positive correlations with monthly temperatures were dominated both for larch and Siberian pine trees. On the other hands, positive correlations of RWI with monthly precipitations were dominated at Vanavara site, where annual/summer precipitation is lower than at Baykit, probably due to severer water stress. Although the climate factor controlling RWI variability vary among sites, given that almost all significant correlations of RWI for temperature and precipitation were positive for both forest sites, future increase in tree growth may be expected under predicted increases in temperature and precipitation.