| Details zur Publikation | 
| Kategorie | Textpublikation | 
| Referenztyp | Zeitschriften | 
| DOI | 10.1007/s00477-012-0658-x | 
| Volltext | Shareable Link | 
| Titel (primär) | Phase difference analysis of temperature and vegetation phenology for beech forest: a wavelet approach | 
| Autor | Carl, G.; Doktor, D.; Koslowsky, D.; Kühn, I.   | 
| Quelle | Stochastic Environmental Research and Risk Assessment | 
| Erscheinungsjahr | 2013 | 
| Department | CLE; BZF | 
| Band/Volume | 27 | 
| Heft | 5 | 
| Seite von | 1221 | 
| Seite bis | 1230 | 
| Sprache | englisch | 
| Keywords | Beech forest; Bivariate time series analysis; Coherence phase; Morlet wavelet;Normalized difference vegetation index;Remote sensing signal | 
| UFZ Querschnittsthemen | RU1; | 
| Abstract | Temporal shifts in phenology or vegetation period of plants are seen as 
indicators of global warming with potentially severe impacts on 
ecosystem functioning. In spite of increasing knowledge on drivers, it 
is of utmost importance to disentangle the relationship between air 
temperatures, phenological events, potential temporal lags (phase 
shifts) and time scale for certain plant species. Assessing the phase 
shifts as well as the scale-dependent relationship between temperature 
and vegetation phenology requires the development of a nonlinear 
temporal model. Therefore, we use wavelet analysis and present a 
framework for identifying scale-dependent cross-phase coupling of 
bivariate time series. It allows the calculation of (a) scale-dependent 
decompositions of time series, (b) phase shifts of seasonal components 
in relation to the annual cycle, and (c) inter-annual phase differences 
between seasonal phases of different time series. The model is applied 
to air temperature data and remote sensing phenology data of a beech 
forest in Germany. Our study reveals that certain seasonal changes in 
amplitude and phase with respect to the normal annual rhythm of 
temperature and beech phenology are coupled time-delayed components, 
which are characterized by a time shift of about one year. | 
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=13063 | 
| Carl, G., Doktor, D., Koslowsky, D., Kühn, I. (2013): Phase difference analysis of temperature and vegetation phenology for beech forest: a wavelet approach Stoch. Environ. Res. Risk Assess. 27 (5), 1221 - 1230 10.1007/s00477-012-0658-x | |
