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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...

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Autores principales: Helama, Samuli, Tolvanen, Anne, Karhu, Jouni, Poikolainen, Jarmo, Kubin, Eero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
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 The network is no longer active.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.
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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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