预测树木茎木非结构性碳水化合物动态的生理模型,Journal of Ecology

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预测树木茎木非结构性碳水化合物动态的生理模型
Journal of Ecology ( IF 5.3 ) Pub Date : 2019-09-09 , DOI: 10.1111/1365-2745.13274
Jing Fang ₁ , James A. Lutz ₂ , Hank H. Shugart ₃ , Xiaodong Yan ₁

Affiliation

非结构性碳水化合物（NSC）在木本植物的代谢中被认为很重要，并且具有很高的动态性。对NSC动力学进行准确而详细的建模可能会增加对生理过程的了解。
我们构建了一个生理模型，该模型可以通过光合作用，蒸腾作用和生长碳需求模拟NSC动态。使用该模型，我们检验了以下假设：生产，分配和储存解释了树木和森林一级的碳水化合物平衡，尤其是冈比亚的活动解释了碳消耗的主要部分。
我们在美国马萨诸塞州哈佛森林的一个地块上应用了该模型。20棵落叶阔叶树的茎木NSC动态预测结果与测量值吻合得很好。NSC（即来自光合作用的产物）的分配取决于热时间和每个器官的发育阶段。全树中水势梯度驱动的水运动也影响了树的生长，这是预测每日NSC动态的必要过程。
综合。该模型结合了全树规模的木材生长和细胞规模的碳水化合物平衡以及短期植被的水力学。该模型为进一步理解环境因素与树木碳分配之间的复杂相互作用提供了基础。

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A physiological model for predicting dynamics of tree stem‐wood non‐structural carbohydrates

Non‐structural carbohydrates (NSC) are considered important in the metabolism of wood plants, and they are highly dynamic. Accurate and detailed modelling of NSC dynamics may increase the understanding of physiological processes.
We constructed a physiological model that simulates NSC dynamics from photosynthesis, transpiration and growth carbon demand. With this model, we tested the hypotheses that production, allocation and storage explain tree‐ and forest‐level carbohydrates balance, and especially that cambial activities explain the major portion of carbon consumption.
We applied this model at one plot in Harvard Forest, Massachusetts, USA. The predicted results of stem‐wood NSC dynamics of 20 deciduous broad‐leaved trees corresponded well with measurements. NSC (i.e. product from photosynthesis) allocations depended on thermal time and the development stage of each organ. Water movements driven by water potential gradients in whole‐trees also influenced tree growth, which was a necessary process for predicting the daily NSC dynamics.
Synthesis. This model combined wood growth at whole‐tree scale and carbohydrates balance at cellular scale with short‐term vegetation hydraulics. The model provides a foundation to further understand the complex interactions between environmental factors and tree carbon allocation.

更新日期：2019-09-09

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