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PhenoCaB:一种基于北方针叶林碳平衡的新物候模型。

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

机构信息

Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055, Portici, NA, Italy.

Département des Sciences Fondamentales, Université du Québec à Chicoutimi, 555 boulevard de l'université, Chicoutimi, QC, G7H 2B1, Canada.

出版信息

New Phytol. 2023 Jul;239(2):592-605. doi: 10.1111/nph.18974. Epub 2023 May 19.

DOI:10.1111/nph.18974
PMID:37203379
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 ), 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.

摘要

传统的物候模型使用需冷量和热胁迫(温度总和或有效积温)来预测芽破裂。由于气候和其他相关生物或非生物胁迫因素的影响日益加剧,需要一种具有更强生物学支撑的模型来更好地预测芽破裂。在这里,我们提出了一个基于针叶树芽破裂前后生理过程的原创机械模型。作为一个一般原则,我们假设物候是由植物的碳状态驱动的,而碳状态与环境变量和休眠-活动的年周期密切相关。从秋季到冬季,用冷驯化和休眠来模拟枝条的碳平衡,从冬季到春季,解除驯化和恢复生长发生时也用冷驯化和休眠来模拟枝条的碳平衡。在田间试验中进行校准后,该模型在一个大区域(>34000km)得到了验证,该区域覆盖了加拿大魁北克的多个针叶林林分,以及美国明尼苏达州 SPRUCE 实验的加热地块。该模型准确地预测了在魁北克(±3.98d)和明尼苏达州(±7.98d)观察到的芽破裂日期。独立于地点的校准提供了关于休眠破裂和春季营养生长恢复动力学的生理机制的有趣见解。

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