A Coupled Model of Hydraulic Eco-Physiology and Cambial Growth - Accounting for Biophysical Limitations and Phenology Improves Stem Diameter Prediction at High Temporal Resolution.

IF 6 1区 生物学 Q1 PLANT SCIENCES Plant, Cell & Environment Pub Date : 2024-10-24 DOI:10.1111/pce.15239
Che Liu, Mikko Peltoniemi, Pavel Alekseychik, Annikki Mäkelä, Teemu Hölttä
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Abstract

Traditional photosynthesis-driven growth models have considerable uncertainties in predicting tree growth under changing climates, partially because sink activities are directly affected by the environment but not adequately addressed in growth modelling. Therefore, we developed a semi-mechanistic model coupling stomatal optimality, temperature control of enzymatic activities and phenology of cambial growth. Parameterized using Bayesian inference and measured data on Picea abies and Pinus sylvestris in peatland and mineral soils in Finland, the coupled model simulates transpiration and assimilation rates and stem radial dimension (SRD) simultaneously at 30 min resolution. The results suggest that both the sink and phenological formulations with environmental effects are indispensable for capturing SRD dynamics across hourly to seasonal scales. Simulated using the model, growth was more sensitive than assimilation to temperature and soil water, suggesting carbon gain is not driving growth at the current temporal scale. Also, leaf-specific production was occasionally positively correlated with growth duration but not with growth onset timing or annual cambial area increment. Thus, as it is hardly explained by carbon gain, phenology itself should be included in sink-driven growth models of the trees in the boreal zone and possibly other environments where sink activities and photosynthesis are both restrained by harsh conditions.

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水力生态生理学与逆生生长耦合模型--考虑生物物理限制和时序可提高高时间分辨率下的茎直径预测。
传统的光合作用驱动生长模型在预测气候变化下的树木生长时存在相当大的不确定性,部分原因是吸收汇活动直接受环境影响,但在生长建模中却没有得到充分解决。因此,我们建立了一个半机制模型,将气孔优化、酶活性的温度控制和韧皮部生长的物候学结合起来。该耦合模型利用贝叶斯推理和芬兰泥炭地及矿质土壤中赤松和欧洲赤松的测量数据进行参数化,以 30 分钟的分辨率同时模拟蒸腾和同化率以及茎径向尺寸(SRD)。结果表明,要捕捉从每小时到每季的 SRD 动态变化,吸收汇和具有环境影响的物候公式都是不可或缺的。利用该模型模拟的结果表明,生长比同化对温度和土壤水更敏感,这表明在当前的时间尺度上,碳增量并没有驱动生长。此外,叶片特异性产量偶尔与生长持续时间呈正相关,但与生长开始时间或年韧皮部面积增量无关。因此,由于物候本身很难被碳增量所解释,因此应将物候本身纳入北方地区树木的汇驱动生长模型中,也可能纳入其他汇活动和光合作用都受到严酷条件限制的环境中。
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来源期刊
Plant, Cell & Environment
Plant, Cell & Environment 生物-植物科学
CiteScore
13.30
自引率
4.10%
发文量
253
审稿时长
1.8 months
期刊介绍: Plant, Cell & Environment is a premier plant science journal, offering valuable insights into plant responses to their environment. Committed to publishing high-quality theoretical and experimental research, the journal covers a broad spectrum of factors, spanning from molecular to community levels. Researchers exploring various aspects of plant biology, physiology, and ecology contribute to the journal's comprehensive understanding of plant-environment interactions.
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