Sensitivity analysis and estimation using a hierarchical Bayesian method for the parameters of the FvCB biochemical photosynthetic model

Sensitivity analysis and estimation using a hierarchical Bayesian method for the parameters of the FvCB biochemical photosynthetic model
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采用分层贝叶斯方法对 FvCB 生化光合模型参数进行敏感性分析和估计

DOI:
10.1007/s11120-019-00684-z
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发表时间:
2019-10
影响因子:
3.7
通讯作者:
Chunlin Huang
Chunlin Huang
中科院分区:
生物学3区
文献类型:
--
作者:
Tuo Han;Gaofeng Zhu;Jinzhu Ma;Shangtao Wang;Kun Zhang;Xiaowen Liu;Ting Ma;Shasha Shang;Chunlin Huang

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光合作用是陆面模式中的一个主要过程。准确地估计光合作用子模型的参数可以大大提高这些模型准确模拟陆地生态系统碳循环的能力。在这里,我们使用了分层贝叶斯方法来拟合Farquhar-von Caemmerer-Berry模型,该模型基于光合作用的生物化学,使用236条曲线来描述净CO2同化和细胞间CO2浓度变化之间的关系。分层贝叶斯算法的优点是可以同时在多个水平(植物、物种、植物功能类型和群体水平)上估计参数。分层策略的参数基于敏感性分析的结果。米氏常数(Kc 25)、激活系数(EJ和EV)以及两个光学参数(θ和α)在不同水平上表现出相当大的变化,这表明这种变化不可忽视。阔叶植物的最大电子传递速率(Jmax 25)、Rubisco活性最大速率(Vcmax 25)和光照下的暗呼吸速率(Rd 25)均高于针叶植物。模型的模拟输出与观测数据的比较显示出强烈的和显着的正相关性,特别是当模型参数化在工厂一级。总之,我们的研究是首次尝试将联合收割机敏感性分析和多层贝叶斯参数估计相结合。由此得到的四个层次的参数分布的现实提供了参考,目前和未来的陆面模式。此外,在未来的模型中使用光合参数时,需要注意观察到的参数变化。
Photosynthesis is a major process included in land surface models. Accurately estimating the parameters of the photosynthetic sub-models can greatly improve the ability of these models to accurately simulate the carbon cycle of terrestrial ecosystems. Here, we used a hierarchical Bayesian approach to fit the Farquhar–von Caemmerer–Berry model, which is based on the biochemistry of photosynthesis using 236 curves for the relationship between net CO2assimilation and changes in the intercellular CO2concentration. An advantage of the hierarchical Bayesian algorithm is that parameters can be estimated at multiple levels (plant, species, plant functional type, and population level) simultaneously. The parameters of the hierarchical strategy were based on the results of a sensitivity analysis. The Michaelis–Menten constant (Kc25), enthalpies of activation (EJandEV), and two optical parameters (θandα) demonstrated considerable variation at different levels, which suggests that this variation cannot be ignored. The maximum electron transport rate (Jmax25), maximum rate of Rubisco activity (Vcmax25), and dark respiration in the light (Rd25) were higher for broad-leaved plants than for needle-leaved plants. Comparison of the model’s simulated outputs with observed data showed strong and significant positive correlations, particularly when the model was parameterized at the plant level. In summary, our study is the first effort to combine sensitivity analysis and hierarchical Bayesian parameter estimation. The resulting realistic parameter distributions for the four levels provide a reference for current and future land surface models. Furthermore, the observed variation in the parameters will require attention when using photosynthetic parameters in future models.
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