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Climate reconstructions from grape harvest dates: Methodology and uncertainties
- 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.
- Subjects :
- Archeology
Vine
Complete data
010504 meteorology & atmospheric sciences
0207 environmental engineering
02 engineering and technology
process-based phenological model
01 natural sciences
Proxy (climate)
Paleoclimatology
Harvest
uncertainty
020701 environmental engineering
climate reconstruction
0105 earth and related environmental sciences
Earth-Surface Processes
Hydrology
Global and Planetary Change
regression model
Ecology
Phenology
Paleontology
Regression analysis
15. Life on land
grape harvest date
quality
[SDU]Sciences of the Universe [physics]
13. Climate action
Crop quality
Environmental science
Physical geography
Subjects
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