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

Int J Biometeorol. 2020 Oct;64(10):1783-1793. doi: 10.1007/s00484-020-01961-6. Epub 2020 Jul 6.

Abstract

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 The network is no longer active.

Keywords: Advance of spring; Autumn phenology; Boreal ecosystems; Climate research; Plant phenology.

MeSH terms

  • Climate Change
  • Climate*
  • Finland
  • Reproducibility of Results
  • Seasons
  • Temperature
  • Trees*

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