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Modification of a photosynthetic light-response (PLR) model for modeling the vertical gradient in the response of crown PLR curves

机译:皇冠PLR曲线响应中垂直梯度建模光合光响应(PLR)模型的修改

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摘要

The photosynthetic light-response (PLR) curve is a mathematical description of a single biochemical process that has been widely applied in many ecophysiological models. For trees, the heterogeneity of PLR curves within the crown is significant but rarely modeled by mathematical techniques. This paper establishes a modified model for estimating crown PLR curves based on PLR functions by linking the parameters of the PLR functions to leaf nitrogen (N), specific leaf area (SLA), and relative depth into the crown (RDINC). The modified models were assessed by considering the goodness of fit (adjusted coefficient of determination, R-a(2); root mean square error, RMSE; and Akaike information criterion, AIC) and model structure. Significant correlations were observed between the parameters of PLR functions and N, SLA, and RDINC. The optimal modified PLR model, by linking RDINC into a modified Mitscherlich function, fit well due to its simple and easily understood structure. Therefore, it is feasible to simultaneously estimate the multilayered and varied PLR curves of the tree crown.
机译:光合光响应(PLR)曲线是单一生物化学过程的数学描述,其已广泛应用于许多生态学模型。对于树木,冠部内的PLR曲线的异质性是显着的,但很少被数学技术建模。本文通过将PLR函数的参数链接到叶片氮(n),特定叶面积(SLA)和相对深度进入冠部(RDINC)来建立基于PLR函数的基于PLR函数来估计冠PLR曲线的修改模型。通过考虑拟合的良好(调整后的测定系数,R-A(2);根均方误差,RMSE;和Akaike信息标准,AIC)和模型结构来评估修改的模型。在PLR函数的参数和N,SLA和RDINC之间观察到显着相关性。通过将Rdinc连接到改进的Mitscherlich函数中的最佳改性PLR模型,由于其简单易于理解的结构,适合。因此,可以同时估计树冠的多层和各种PLR曲线是可行的。

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