Spatial and temporal variability of the phenological seasons in Germany from 1951 to 1996

Citation
A. Menzel et al., Spatial and temporal variability of the phenological seasons in Germany from 1951 to 1996, GL CHANGE B, 7(6), 2001, pp. 657-666
Citations number
33
Categorie Soggetti
Environment/Ecology
Journal title
GLOBAL CHANGE BIOLOGY
ISSN journal
13541013 → ACNP
Volume
7
Issue
6
Year of publication
2001
Pages
657 - 666
Database
ISI
SICI code
1354-1013(200108)7:6<657:SATVOT>2.0.ZU;2-H
Abstract
Various indications for shifts in plant and animal phenology resulting from climate change have been observed in Europe. This analysis of phenological seasons in Germany of more than four decades (1951-96) has several major a dvantages: (i) a wide and dense geographical coverage of data from the phen ological network of the German Weather Service, (ii) the 16 phenophases ana lysed cover the whole annual cycle and, moreover, give a direct estimate of the length of the growing season for four deciduous tree species. After in tensive data quality checks, two different methods -linear trend analyses a nd comparison of averages of subintervals - were applied in order to determ ine shifts in phenological seasons in the last 46 years. Results from both methods were similar and reveal a strong seasonal variation. There are clea r advances in the key indicators of earliest and early spring (-0.18 to -0. 23 d y(-1)) and notable advances in the succeeding spring phenophases such as leaf unfolding of deciduous trees (-0.16 to -0.08 d y(-1)). However, phe nological changes are less strong during autumn (delayed by +0.03 to + 0.10 d y(-1) on average). In general, the growing season has been lengthened by up to -0.2 d y(-1) (mean linear trends) and the mean 1974-96 growing seaso n was up to 5 days longer than in the 1951-73 period. The spatial variabili ty of trends was analysed by statistical means and shown in maps, but these did not reveal any substantial regional differences. Although there is a h igh spatial variability, trends of phenological phases at single locations are mirrored by subsequent phases, but they are not necessarily identical. Results for changes in the biosphere with such a high resolution with respe ct to time and space can rarely be obtained by other methods such as analys es of satellite data.