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| Titel |
Seasonal climate impacts on the grape harvest date in Burgundy (France) |
| VerfasserIn |
M. Krieger, G. Lohmann, T. Laepple |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1814-9324
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| Digitales Dokument |
URL |
| Erschienen |
In: Climate of the Past ; 7, no. 2 ; Nr. 7, no. 2 (2011-04-28), S.425-435 |
| Datensatznummer |
250004508
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| Publikation (Nr.) |
 copernicus.org/cp-7-425-2011.pdf |
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| Zusammenfassung |
| In this study, we analyse the climatic impacts on the grape harvest date
(GHD) in Burgundy (France) on interannual and decadal time scales. We affirm
that the GHD is mainly influenced by the local April-to-August temperature
(AAT) and provide the spatial expansion of this relationship. The spatial
correlation pattern yields similar results for the instrumental and
pre-instrumental period, indicating the consistency of the pre-instrumental
field data with the instrumental GHD-spring/summer relationship. We find a
previously undocumented second climate impact on the GHD. The winter
temperature is significantly correlated with the GHD on
decadal-to-multidecadal time scales and affects the GHD independently of the
AAT. A multiple linear regression model, with AAT and decadal winter
temperature as predictors, was found to be the best model to describe the GHD
time series for the instrumental period. Stability tests of the correlations
over time yield that both impacts on the GHD, AAT and decadal winter
temperature, strengthen during the instrumental period. Using partial
correlation analysis, we demonstrate that this is partly caused by a change
in the winter–spring/summer temperature relationship. Summarising, the GHD is
well suited to reconstruct interannual variations of the spring/summer
temperature over large parts of Europe, even if the changing
winter–spring/summer relation might affect the reconstruction in a second
order. For decadal time scales, the December-to-August temperature shows the
strongest relationship to the GHD and, therefore, proposes that the GHD can be
used for European temperature reconstructions beyond the spring/summer
season. Finally, we argue that our findings regarding the changed
winter–spring/summer relation are relevant for physical and biological
systems in several ways and should be analysed by other long-term proxy data
and available model simulations. |
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