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Snow disappearance timing associated with elevation and vegetation type determines heterogeneity in spring onset in interior Alaska
https://nipr.repo.nii.ac.jp/records/17374
https://nipr.repo.nii.ac.jp/records/173741b2491bd-c1b2-4dcc-92af-196359b01028
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2023-04-27 | |||||
タイトル | ||||||
タイトル | Snow disappearance timing associated with elevation and vegetation type determines heterogeneity in spring onset in interior Alaska | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Snow disappearance timing associated with elevation and vegetation type determines heterogeneity in spring onset in interior Alaska | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Boreal forest | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Satellite remote sensing | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Spring phenology | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Growing degree days | |||||
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 |
Kawashima, Shihori
× Kawashima, Shihori× Ueyama, Masahito× Harazono, Yoshinobu× Iwata, Hiroki× Kobayashi, Hideki |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The spatiotemporal variations in spring onset were evaluated based on a satellite-derived enhanced vegetation index (EVI), land surface temperature, and snow cover from 2000 to 2021 in interior Alaska. Spring onset was determined as a budburst or seasonal green-up of vegetation based on EVI. The analysis showed that snow disappearance date was the key driver of spatiotemporal variations in the spring onset date. These dates for snow disappearance and spring onset varied with elevation, showing importance of elevation to explain the spatial heterogeneity in spring onset. The magnitudes in the heterogeneity in spring onset varied year to year, where the heterogeneity increased in warm spring owing to an increased heterogeneity in snow disappearance. This phenomenon was associated with slower snowmelt under lower shortwave radiation earlier in the season. These results suggest that future warming could increase the heterogeneity in spring onset in this region. Spring onset was further modeled with the growing degree-day model using the Bayesian optimization, which showed that model performance did not deteriorate with coarse-resolution inputs. The results indicate that coarse-resolution models, such as Earth system models, are a reliable tool for predicting spring onset in this region. | |||||
書誌情報 |
en : Polar Science 巻 35, p. 100918, 発行日 2023-03 |
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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.2022.100918 | |||||
関連名称 | 10.1016/j.polar.2022.100918 |