o Cartenı̀ https://orcid.org/0000-0001-8985-1132 Annie Deslauriers https://orcid.org/0000-0002-4994-5772 Stefano Mazzoleni https://orcid.org/0000-0002-1132-2625 Data availability Sugar and phenological datasets for the Canadian experiments are available at doi: 10.5683/SP3/MVRZMQ. Data for the SPRUCE experiment can be found at: https://mnspruce.ornl.gov/datasets/public.References Adams HD, Germino MJ, Breshears DD, Barron-Gafford GA, Guardiola- Claramonte M, Zou CB, Huxman TE. 2013. Nonstructural leaf carbohydrate dynamics of Pinus edulis during drought-induced tree mortality reveal role for carbon metabolism in mortality mechanism. New Phytologist 197: 1142–1151. Ainsworth EA, Bush DR. 2011
Open resource ↗mnspruce.ornl.gov · pdf-raw-page:11 lines:1-85Paper record
PhenoCaB: a new phenological model based on carbon balance in boreal conifers.
The New phytologist · 19 May 2023 · 10.1111/nph.18974
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 km 2 ), 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.
Code and data availability