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Identifying the main drivers for the production and maturation of Scots pine tracheids along a temperature gradient

Authors :
Henri E. Cuny
Jesse Read
Liisa Kulmala
Harri Mäkinen
Jaakko Hollmén
Pekka Nöjd
Cyrille B. K. Rathgeber
University of Helsinki
Aalto University
Natural Resources Institute Finland
Laboratoire d'Etudes des Ressources Forêt-Bois (LERFoB)
Institut National de la Recherche Agronomique (INRA)-AgroParisTech
Swiss Federal Research Institute
Academy of Finland (257641, 277623)
the Academy of Finland Finnish Centre of Excellence Program (272041)
FPS COST Action FP1106 Studying Tree Responses to extreme Events: a SynthesiS (STReESS)
AgroParisTech-Institut National de la Recherche Agronomique (INRA)
Department of Forest Sciences
Ecosystem processes (INAR Forest Sciences)
Forest Ecology and Management
Natural resources institute Finland
Source :
Agricultural and Forest Meteorology, Agricultural and Forest Meteorology, 2017, 232, pp.210-224. ⟨10.1016/j.agrformet.2016.08.012⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

Even though studies monitoring the phenology and seasonal dynamics of the wood formation have accumulated for several conifer species across the Northern Hemisphere, the environmental control of tracheid production and differentiation is still fragmentary. With microcore and environmental data from six stands in Finland and France, we built auto-calibrated data-driven black box models for analyzing the most important factors controlling the tracheid production and maturation in Scots pine stem. In the best models, estimation was accurate to within a fraction of a tracheid per week. We compared the relative results of models built using different predictors, and found that the rate of tracheid production was partly regular but current and previous air temperature had influence on the sites in the middle of the temperature range and photosynthetic production in the coldest ones. The rate of mature cell production was more difficult to relate to the predictors but recent photosynthetic production was included in all successful models.

Details

Language :
English
ISSN :
01681923
Database :
OpenAIRE
Journal :
Agricultural and Forest Meteorology, Agricultural and Forest Meteorology, 2017, 232, pp.210-224. ⟨10.1016/j.agrformet.2016.08.012⟩
Accession number :
edsair.doi.dedup.....687f4dd2c7808c6103ccea652d803302
Full Text :
https://doi.org/10.1016/j.agrformet.2016.08.012⟩