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

Marc Peaucelle , Ivan A. Janssens , Benjamin D. Stocker , Adriã Descals Ferrando , Yongshuo H. Fu , Roberto Molowny-Horas , Philippe Ciais (1) , Josep Peñuelas

1 LSCE - Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette]

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, GDD_req) 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 GDD_req. Radiation intensity is positively correlated with GDD_req and aridity is negatively correlated with GDD_req 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.

Domains: Sciences of the Universe [physics]

Marc Peaucelle, Ivan A. Janssens, Benjamin D. Stocker, Adriã Descals Ferrando, Yongshuo H. Fu, et al.. Spatial variance of spring phenology in temperate deciduous forests is constrained by background climatic conditions. Nature Communications, 2019, 10, ⟨10.1038/s41467-019-13365-1⟩. ⟨insu-03721872⟩