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Effects of climate dataset type on tree-ring analysis: A case study for Siberian forests
https://nipr.repo.nii.ac.jp/records/15925
https://nipr.repo.nii.ac.jp/records/15925d10a8333-2909-4582-80d1-329102d25df5
Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||
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公開日 | 2019-09-30 | |||||||||||
タイトル | ||||||||||||
タイトル | Effects of climate dataset type on tree-ring analysis: A case study for Siberian forests | |||||||||||
タイトル | ||||||||||||
言語 | en | |||||||||||
タイトル | Effects of climate dataset type on tree-ring analysis: A case study for Siberian forests | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Tree rings | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Climate change | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Boreal forests | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Arctic | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Gridded data | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | journal article | |||||||||||
アクセス権 | ||||||||||||
アクセス権 | metadata only access | |||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||||||||
著者 |
Tei, Shunsuke
× Tei, Shunsuke
× Nagai, Shin
× Sugimoto, Atsuko
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抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | Tree-ring width indices (RWI) are widely used as long-term indicators of past forest ecosystem response to climate change. Due to their larger spatial scales, gridded climate data have been preferred over station data. However, it is not clear how climate dataset type affects correlations between climate variables (e.g., temperature and precipitation) and RWI. To answer this question, RWI was compared to both gridded and station climate datasets over the Siberian forests. Correlation patterns between RWI and seasonal climate variables were mostly similar regardless of dataset. However, some dependence on climate dataset was observed for summer temperatures and previous autumn-winter precipitation. The extent of dataset impacts depends on the similarity of climate variables between datasets, which was related to the distance between the nearest climate station to each RWI site/climate grid point. On the other hand, dataset effects primarily impact statistical significance, and opposite correlations between RWI and climate variables have not been observed for different climate datasets. Therefore, the impacts of climate dataset type on RWI to estimate the forest ecosystem response to climate change are not major, emphasizing the relevance of previous RWI studies that used gridded climate datasets. | |||||||||||
書誌情報 |
en : Polar Science 巻 21, p. 136-145, 発行日 2019-09 |
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ISSN | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 18739652 | |||||||||||
DOI | ||||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | https://doi.org/10.1016/j.polar.2018.10.008 | |||||||||||
関連名称 | 10.1016/j.polar.2018.10.008 |