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International Journal of Biometeorology
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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International Journal of Biometeorology
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Other literature type . 2020
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Finnish National Phenological Network 1997–2017: from observations to trend detection

Authors: Samuli Helama; Anne Tolvanen; Jouni Karhu; Jarmo Poikolainen; Eero Kubin;

Finnish National Phenological Network 1997–2017: from observations to trend detection

Abstract

AbstractPlant 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 The network is no longer active.

Country
Finland
Keywords

trends, Original Paper, climate changes, Climate, Climate Change, Temperature, Reproducibility of Results, phenology, Trees, boreal zone, Seasons, plant ecology, Finland

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    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
hybrid