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Climate reconstructions from grape harvest dates: Methodology and uncertainties

Authors :
Emmanuel Garnier
C. van Leeuwen
Nicolas Viovy
Jean-Michel Boursiquot
Amber Parker
Isabelle Chuine
Pascal Yiou
Valérie Daux
Bernard Seguin
I. Garcia de Cortazar-Atauri
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Géochrononologie Traceurs Archéométrie (GEOTRAC)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Glaces et Continents, Climats et Isotopes Stables (GLACCIOS)
Centre de recherche d'histoire quantitative (CRHQ)
Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN)
Normandie Université (NU)-Normandie Université (NU)
Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR)
Modélisation des Surfaces et Interfaces Continentales (MOSAIC)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Université de Caen Normandie (UNICAEN)
Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)
Source :
The Holocene, The Holocene, London: Sage, 2010, vol. 20 (n° 4), p. 599-608. ⟨10.1177/0959683609356585⟩, The Holocene, 2010, vol. 20 (n° 4), p. 599-608. ⟨10.1177/0959683609356585⟩
Publication Year :
2010
Publisher :
SAGE Publications, 2010.

Abstract

[An assessment of error sources when using grape harvest date for past climate reconstruction]; Several studies have used grape harvest date (GHD) as a proxy for temperature variations of the last centuries in Europe. However, the use of grape harvest dates to reconstruct climate is not straightforward, with four possible causes of major flaws. In this study we identify and evaluate the accuracy of GHD as a proxy to past temperature anomalies, uncertainties in the model used to relate temperature to GHD, identity of the grape varieties cultivated in the past, type of wine produced in the past and cultural practices used in the past. Our analyses are based on several phenological and crop models, and on the most complete data set on grape vine phenology and harvest quality. We show that the two methodologies currently used — linear regression models and process-based phenological models — can be accurate, but process-based phenological models ascertain robustness to be applied confidently in different vineyards and different periods. However, we show that several factors can induce a bias in temperature reconstructions using process-based models. We demonstrate the importance of historical information on the studied areas such as the varieties cultivated, the style of wine produced, the quality sought, the agricultural practices, in order to build the most robust model.

Details

ISSN :
14770911 and 09596836
Volume :
20
Database :
OpenAIRE
Journal :
The Holocene
Accession number :
edsair.doi.dedup.....5a82ea5faa2ad8379f08e50b0db2dcd4
Full Text :
https://doi.org/10.1177/0959683609356585