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Finnish National Phenological Network 1997–2017: from observations to trend detection
Plant phenological dataset collected at 42 sites across the mainland of Finland and covering the years 1997–2017 is presented and analysed for temporal trends. The dataset of n = 16,257 observations represents eleven plant species and fifteen phenological stages and results in forty different variab...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481168/ https://www.ncbi.nlm.nih.gov/pubmed/32632472 http://dx.doi.org/10.1007/s00484-020-01961-6 |
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author | Helama, Samuli Tolvanen, Anne Karhu, Jouni Poikolainen, Jarmo Kubin, Eero |
author_facet | Helama, Samuli Tolvanen, Anne Karhu, Jouni Poikolainen, Jarmo Kubin, Eero |
author_sort | Helama, Samuli |
collection | PubMed |
description | Plant phenological dataset collected at 42 sites across the mainland of Finland and covering the years 1997–2017 is presented and analysed for temporal trends. The dataset of n = 16,257 observations represents eleven plant species and fifteen phenological stages and results in forty different variables, i.e. phenophases. Trend analysis was carried out for n = 808 phenological time-series that contained at least 10 observations over the 21-year study period. A clear signal of advancing spring and early-summer phenology was detected, 3.4 days decade(−1), demonstrated by a high proportion of negative trends for phenophases occurring in April through June. Latitudinal correlation indicated stronger signal of spring and early-summer phenology towards the northern part of the study region. The autumn signal was less consistent and showed larger within-site variations than those observed in other seasons. More than 60% of the dates based on single tree/monitoring square were exactly the same as the averages from multiple trees/monitoring squares within the site. In particular, the reliability of data on autumn phenology was increased by multiple observations per site. The network is no longer active. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00484-020-01961-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7481168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-74811682020-09-21 Finnish National Phenological Network 1997–2017: from observations to trend detection Helama, Samuli Tolvanen, Anne Karhu, Jouni Poikolainen, Jarmo Kubin, Eero Int J Biometeorol Original Paper Plant phenological dataset collected at 42 sites across the mainland of Finland and covering the years 1997–2017 is presented and analysed for temporal trends. The dataset of n = 16,257 observations represents eleven plant species and fifteen phenological stages and results in forty different variables, i.e. phenophases. Trend analysis was carried out for n = 808 phenological time-series that contained at least 10 observations over the 21-year study period. A clear signal of advancing spring and early-summer phenology was detected, 3.4 days decade(−1), demonstrated by a high proportion of negative trends for phenophases occurring in April through June. Latitudinal correlation indicated stronger signal of spring and early-summer phenology towards the northern part of the study region. The autumn signal was less consistent and showed larger within-site variations than those observed in other seasons. More than 60% of the dates based on single tree/monitoring square were exactly the same as the averages from multiple trees/monitoring squares within the site. In particular, the reliability of data on autumn phenology was increased by multiple observations per site. The network is no longer active. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00484-020-01961-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-07-06 2020 /pmc/articles/PMC7481168/ /pubmed/32632472 http://dx.doi.org/10.1007/s00484-020-01961-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Paper Helama, Samuli Tolvanen, Anne Karhu, Jouni Poikolainen, Jarmo Kubin, Eero Finnish National Phenological Network 1997–2017: from observations to trend detection |
title | Finnish National Phenological Network 1997–2017: from observations to trend detection |
title_full | Finnish National Phenological Network 1997–2017: from observations to trend detection |
title_fullStr | Finnish National Phenological Network 1997–2017: from observations to trend detection |
title_full_unstemmed | Finnish National Phenological Network 1997–2017: from observations to trend detection |
title_short | Finnish National Phenological Network 1997–2017: from observations to trend detection |
title_sort | finnish national phenological network 1997–2017: from observations to trend detection |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481168/ https://www.ncbi.nlm.nih.gov/pubmed/32632472 http://dx.doi.org/10.1007/s00484-020-01961-6 |
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