Volume 22, Issue 10
Primary Research Article

Can phenological models predict tree phenology accurately in the future? The unrevealed hurdle of endodormancy break

Isabelle Chuine

Corresponding Author

Centre d'Ecologie Fonctionnelle et Evolutive, UMR CEFE CNRS 5175, 1919 route de Mende, 34293 Montpellier Cedex 05, France

Correspondence: Isabelle Chuine, tel. +33 467 613 279, fax +33 467 613 239, e‐mail: isabelle.chuine@cefe.cnrs.frSearch for more papers by this author
Marc Bonhomme

INRA, UMR 547 PIAF, F‐63100 Clermont‐Ferrand, France

Clermont Université, Université Blaise Pascal, UMR 547 PIAF, F‐63100 Clermont‐Ferrand, France

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Jean‐Michel Legave

INRA, UMR 1334 AGAP, F‐34398 Montpellier Cedex 5, France

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Iñaki García de Cortázar‐Atauri

INRA, US1116‐Agroclim, F‐84914 Avignon, France

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Guillaume Charrier

INRA, UMR 547 PIAF, F‐63100 Clermont‐Ferrand, France

Clermont Université, Université Blaise Pascal, UMR 547 PIAF, F‐63100 Clermont‐Ferrand, France

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André Lacointe

INRA, UMR 547 PIAF, F‐63100 Clermont‐Ferrand, France

Clermont Université, Université Blaise Pascal, UMR 547 PIAF, F‐63100 Clermont‐Ferrand, France

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Thierry Améglio

INRA, UMR 547 PIAF, F‐63100 Clermont‐Ferrand, France

Clermont Université, Université Blaise Pascal, UMR 547 PIAF, F‐63100 Clermont‐Ferrand, France

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First published: 07 June 2016
Citations: 77

Abstract

The onset of the growing season of trees has been earlier by 2.3 days per decade during the last 40 years in temperate Europe because of global warming. The effect of temperature on plant phenology is, however, not linear because temperature has a dual effect on bud development. On one hand, low temperatures are necessary to break bud endodormancy, and, on the other hand, higher temperatures are necessary to promote bud cell growth afterward. Different process‐based models have been developed in the last decades to predict the date of budbreak of woody species. They predict that global warming should delay or compromise endodormancy break at the species equatorward range limits leading to a delay or even impossibility to flower or set new leaves. These models are classically parameterized with flowering or budbreak dates only, with no information on the endodormancy break date because this information is very scarce. Here, we evaluated the efficiency of a set of phenological models to accurately predict the endodormancy break dates of three fruit trees. Our results show that models calibrated solely with budbreak dates usually do not accurately predict the endodormancy break date. Providing endodormancy break date for the model parameterization results in much more accurate prediction of this latter, with, however, a higher error than that on budbreak dates. Most importantly, we show that models not calibrated with endodormancy break dates can generate large discrepancies in forecasted budbreak dates when using climate scenarios as compared to models calibrated with endodormancy break dates. This discrepancy increases with mean annual temperature and is therefore the strongest after 2050 in the southernmost regions. Our results claim for the urgent need of massive measurements of endodormancy break dates in forest and fruit trees to yield more robust projections of phenological changes in a near future.

Number of times cited according to CrossRef: 77

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