Spatial variance of spring phenology in temperate deciduous forests is constrained by biogeographical conditions of temperature, light and aridity

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...

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Detalles Bibliográficos
Autores: Peaucelle, Marc|||0000-0003-0324-4628, Janssens, Ivan|||0000-0002-5705-1787, Stocker, Benjamin|||0000-0003-2697-9096, Descals, Adrià|||0000-0003-1644-3036, Fu, Yongshuo H.|||0000-0002-9761-5292, Molowny Horas, Roberto|||0000-0003-2626-6379, Ciais, Philippe|||0000-0001-8560-4943, Peñuelas, Josep|||0000-0002-7215-0150
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:218226
Acceso en línea:https://ddd.uab.cat/record/218226
https://dx.doi.org/urn:doi:10.1038/s41467-019-13365-1
Access Level:acceso abierto
Palabra clave:Ecological modelling
Ecophysiology
Forest ecology
Macroecology
Descripción
Sumario: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.