PhenoCaB: a new phenological model based on carbon balance in boreal conifers

Fabrizio Cartenì, Lorena Balducci, Alain Dupont, Emiliano Salucci, Valérie Néron, Stefano Mazzoleni, Annie Deslauriers

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
30 Downloads (Pure)

Abstract

Traditional phenological models use chilling and thermal forcing (temperature sum or degree-days) to predict budbreak. Because of the heightening impact of climate and other related biotic or abiotic stressors, a model with greater biological support is needed to better predict budbreak. Here, we present an original mechanistic model based on the physiological processes taking place before and during budbreak of conifers. As a general principle, we assume that phenology is driven by the carbon status of the plant, which is closely related to environmental variables and the annual cycle of dormancy-activity. The carbon balance of a branch was modelled from autumn to winter with cold acclimation and dormancy and from winter to spring when deacclimation and growth resumption occur. After being calibrated in a field experiment, the model was validated across a large area (> 34 000 km2 ), covering multiple conifers stands in Québec (Canada) and across heated plots for the SPRUCE experiment in Minnesota (USA). The model accurately predicted the observed dates of budbreak in both Québec (±3.98 d) and Minnesota (±7.98 d). The site-independent calibration provides interesting insights on the physiological mechanisms underlying the dynamics of dormancy break and the resumption of vegetative growth in spring.

Original languageEnglish
Article number18974
Pages (from-to)592-605
Number of pages14
JournalNew Phytologist
Volume239
Issue number2
Early online date19 May 2023
DOIs
Publication statusPublished - Jul 2023

Bibliographical note

© 2023 The Authors New Phytologist © 2023 New Phytologist Foundation.

Keywords

  • balsam fir
  • black spruce
  • bud phenology
  • defoliation
  • mechanistic model
  • spruce budworm

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