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Agricultural and Forest Meteorology
Article . 2011 . Peer-reviewed
License: Elsevier TDM
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Assessing the effects of climate change on the phenology of European temperate trees

Authors: Nicolas Delpierre; Eric Dufrêne; Eric Dufrêne; C. François; C. François; Isabelle Chuine; Yann Vitasse; +2 Authors

Assessing the effects of climate change on the phenology of European temperate trees

Abstract

Abstract Modelling phenology is crucial to assess the impact of climate change on the length of the canopy duration and the productivity of terrestrial ecosystems. Focusing on six dominant European tree species, the aims of this study were (i) to examine the accuracy of different leaf phenology models to simulate the onset and ending of the leafy season, with particular emphasis on the putative role of chilling to release winter bud dormancy and (ii) to predict seasonal shifts for the 21st century in response to climate warming. Models testing and validation were done for each species considering 2 or 3 years of phenological observations acquired over a large elevational gradient (1500 m range, 57 populations). Flushing models were either based solely on forcing temperatures (1-phase models) or both on chilling and forcing temperatures (2-phases models). Leaf senescence models were based on both temperature and photoperiod. We show that most flushing models are able to predict accurately the observed flushing dates. The 1-phase models are as efficient as 2-phases models for most species suggesting that chilling temperatures are currently sufficient to fully release bud dormancy. However, our predictions for the 21st century highlight that chilling temperature could be insufficient for some species at low elevation. Overall, flushing is expected to advance in the next decades but this trend substantially differed between species (from 0 to 2.4 days per decade). The prediction of leaf senescence appears more challenging, as the proposed models work properly for only two out of four deciduous species, for which senescence is expected to be delayed in the future (from 1.4 to 2.3 days per decade). These trends to earlier spring leafing and later autumn senescence are likely to affect the competitive balance between species. For instance, simulations over the 21st century predict a stronger lengthening of the canopy duration for Quercus petraea than for Fagus sylvatica , suggesting that shifts in the elevational distributions of these species might occur.

Country
France
Keywords

CANOPY DURATION, HOUX, 570, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, ELEVATIONAL GRADIENT, CLIMATE CHANGE, SAPIN ARGENTE, 590, CHENE ROUVRE, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, PHENOLOGICAL MODELS, QUERCUS SESSILIFLORA, HETRE COMMUN, FRAXINUS EXCELSIOR, forestry, ERABLE FAUX PLATANE, FOREST, QUERCUS PETRAEA, ILEX AQUIFOLIUM, [SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    305
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
305
Top 1%
Top 1%
Top 1%