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Spatial variance of spring phenology in temperate deciduous forests is constrained by background climatic conditions

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  • Marc Peaucelle

    (CREAF, Cerdanyola del Vallès
    CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra
    Computational and Applied Vegetation Ecology - CAVElab, Department of Environment, Faculty of Bioscience Engineering, Ghent University)

  • Ivan A. Janssens

    (University of Antwerp)

  • Benjamin D. Stocker

    (CREAF, Cerdanyola del Vallès
    CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra
    Institute of Agricultural Sciences, Department for Environmental Systems Science, ETH Zürich)

  • Adrià Descals Ferrando

    (CREAF, Cerdanyola del Vallès
    CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra)

  • Yongshuo H. Fu

    (College of Water Sciences, Beijing Normal University Beijing)

  • Roberto Molowny-Horas

    (CREAF, Cerdanyola del Vallès)

  • Philippe Ciais

    (Laboratoire des Sciences du Climat et de l’Environnement, UMR 1572 CEA-CNRS UVSQ)

  • Josep Peñuelas

    (CREAF, Cerdanyola del Vallès
    CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra)

Abstract

Leaf unfolding in temperate forests is driven by spring temperature, but little is known about the spatial variance of that temperature dependency. Here we use in situ leaf unfolding observations for eight deciduous tree species to show that the two factors that control chilling (number of cold days) and heat requirement (growing degree days at leaf unfolding, GDDreq) only explain 30% of the spatial variance of leaf unfolding. Radiation and aridity differences among sites together explain 10% of the spatial variance of leaf unfolding date, and 40% of the variation in GDDreq. Radiation intensity is positively correlated with GDDreq and aridity is negatively correlated with GDDreq spatial variance. These results suggest that leaf unfolding of temperate deciduous trees is adapted to local mean climate, including water and light availability, through altered sensitivity to spring temperature. Such adaptation of heat requirement to background climate would imply that models using constant temperature response are inherently inaccurate at local scale.

Suggested Citation

  • Marc Peaucelle & Ivan A. Janssens & Benjamin D. Stocker & Adrià Descals Ferrando & Yongshuo H. Fu & Roberto Molowny-Horas & Philippe Ciais & Josep Peñuelas, 2019. "Spatial variance of spring phenology in temperate deciduous forests is constrained by background climatic conditions," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13365-1
    DOI: 10.1038/s41467-019-13365-1
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    Cited by:

    1. Yahui Guo & Wenxiang Wu & Yumei Liu & Zhaofei Wu & Xiaojun Geng & Yaru Zhang & Christopher Robin Bryant & Yongshuo Fu, 2020. "Impacts of Climate and Phenology on the Yields of Early Mature Rice in China," Sustainability, MDPI, vol. 12(23), pages 1-16, December.

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