In:
Earth System Science Data, Copernicus GmbH, Vol. 11, No. 4 ( 2019-11-11), p. 1645-1654
Abstract:
Abstract. In 1970, the Institute of Geography of the University of
Bern initiated the phenological observation network BernClim. Seasonality
information from plants, fog and snow was originally available for applications in
urban and regional planning and agricultural and touristic suitability and is
now a valuable data set for climate change impact studies. Covering the
growing season, volunteer observers record the dates of key development
stages of hazel (Corylus avellana), dandelion (Taraxacum officinale), apple
tree (Pyrus malus) and beech (Fagus sylvatica). All observations consist of
detailed site information, including location, altitude, exposition (aspect)
and inclination, that makes BernClim unique in its richness in detail on decadal
timescales. Quality control (QC) by experts and statistical analyses of the
data have been performed to flag impossible dates, dates outside the
biologically plausible range, repeated dates in the same year, stretches of
consecutive identical dates and statistically inconsistent dates (outliers
in time or in space). Here, we report BernClim data of 7414 plant
phenological observations from 1970 to 2018 from 1304 sites at 110 stations, the QC procedure and selected applications (Rutishauser et al., 2019: https://doi.org/10.1594/PANGAEA.900102). The QC points to very good
internal consistency (only 0.2 % were flagged as internally inconsistent) and likely high quality of the data. BernClim data indicate a trend towards an extended growing season. They also track the regime shift in the late 1980s well to pronounced earlier dates like numerous other phenological records across the Northern Hemisphere.
Type of Medium:
Online Resource
ISSN:
1866-3516
DOI:
10.5194/essd-11-1645-2019
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2019
detail.hit.zdb_id:
2475469-9
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