摘要：Abstract. In 1970, the Institute of Geography of the University ofBern initiated the phenological observation network BernClim. Seasonalityinformation from plants, fog and snow was originally available for applications inurban and regional planning and agricultural and touristic suitability and isnow a valuable data set for climate change impact studies. Covering thegrowing season, volunteer observers record the dates of key developmentstages of hazel (Corylus avellana), dandelion (Taraxacum officinale), appletree (Pyrus malus) and beech (Fagus sylvatica). All observations consist ofdetailed site information, including location, altitude, exposition (aspect)and inclination, that makes BernClim unique in its richness in detail on decadaltimescales. Quality control (QC) by experts and statistical analyses of thedata have been performed to flag impossible dates, dates outside thebiologically plausible range, repeated dates in the same year, stretches ofconsecutive identical dates and statistically inconsistent dates (outliersin time or in space). Here, we report BernClim data of 7414 plantphenological 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 goodinternal 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.
