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Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems
https://nipr.repo.nii.ac.jp/records/16063
https://nipr.repo.nii.ac.jp/records/1606349261520-5388-4cd6-a696-b0f41b341cc2
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2020-10-08 | |||||
タイトル | ||||||
タイトル | Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Deciduous coniferous forest | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Degree-day model | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Phenology observation | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Siberia | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Start and end of the growing season | |||||
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 |
Nagai, Shin
× Nagai, Shin× Kotani, Ayumi× Morozumi, Tomoki× Kononov, Alexander V.× Petrov, Roman E.× Shakhmatov, Ruslan× Ohta, Takeshi× Sugimoto, Atsuko× Maximov, Trofim C.× Suzuki, Rikie× Tei, Shunsuke |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Detecting year-to-year variability of the timing of the start of the growing season (SGS) and the end of the growing season (EGS) is an important task in accurately evaluating ecosystem functions and services under climate change in vulnerable ecosystems in Siberia. We constructed a degree-day model for estimating the SGS and EGS dates at a deciduous coniferous forest site in Siberia, based on the relationship between daily phenology images and daily mean air temperature between 2013 and 2017. We tested the model by applying it to another similar site in Siberia. The model successfully estimated the SGS and EGS dates from the cumulative effective temperature, derived from daily mean air temperatures exceeding a best-fit threshold value of 2 °C (root mean square error: RMSE = 1.00) and falling below a best-fit threshold value of 1 °C, 0 °C or −1 °C (RMSE = 2.29), respectively. The modelled SGS and EGS dates closely matched the observed dates of leaf flush and leaf fall, respectively, in the larch overstory. | |||||
書誌情報 |
en : Polar Science 巻 25, p. 100534, 発行日 2020-09 |
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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.2020.100534 | |||||
関連名称 | 10.1016/j.polar.2020.100534 |