Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems
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...
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ftnipr:oai:nipr.repo.nii.ac.jp:00016063 2023-05-15T18:02:48+02:00 Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems 2020-09 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16063 http://id.nii.ac.jp/1291/00015944/ en eng https://doi.org/10.1016/j.polar.2020.100534 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16063 http://id.nii.ac.jp/1291/00015944/ Polar Science, 25, 100534(2020-09) 18739652 Deciduous coniferous forest Degree-day model Phenology observation Siberia Start and end of the growing season Journal Article 2020 ftnipr https://doi.org/10.1016/j.polar.2020.100534 2022-12-03T19:43:16Z 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. Article in Journal/Newspaper Polar Science Polar Science Siberia National Institute of Polar Research Repository, Japan Polar Science 25 100534 |
institution |
Open Polar |
collection |
National Institute of Polar Research Repository, Japan |
op_collection_id |
ftnipr |
language |
English |
topic |
Deciduous coniferous forest Degree-day model Phenology observation Siberia Start and end of the growing season |
spellingShingle |
Deciduous coniferous forest Degree-day model Phenology observation Siberia Start and end of the growing season Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems |
topic_facet |
Deciduous coniferous forest Degree-day model Phenology observation Siberia Start and end of the growing season |
description |
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. |
format |
Article in Journal/Newspaper |
title |
Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems |
title_short |
Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems |
title_full |
Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems |
title_fullStr |
Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems |
title_full_unstemmed |
Detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems |
title_sort |
detection of year-to-year spring and autumn bio-meteorological variations in siberian ecosystems |
publishDate |
2020 |
url |
https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16063 http://id.nii.ac.jp/1291/00015944/ |
genre |
Polar Science Polar Science Siberia |
genre_facet |
Polar Science Polar Science Siberia |
op_relation |
https://doi.org/10.1016/j.polar.2020.100534 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16063 http://id.nii.ac.jp/1291/00015944/ Polar Science, 25, 100534(2020-09) 18739652 |
op_doi |
https://doi.org/10.1016/j.polar.2020.100534 |
container_title |
Polar Science |
container_volume |
25 |
container_start_page |
100534 |
_version_ |
1766173446636568576 |