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首页> 外文期刊>Agricultural and Forest Meteorology >Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database
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Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database

机译：基于LaThuile数据库的模拟陆地植被总初级生产力的光利用效率模型的全球比较

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摘要

Simulating gross primary productivity (GPP) of terrestrial ecosystems has been a major challenge in quantifying the global carbon cycle. Many different light use efficiency (LUE) models have been developed recently, but our understanding of the relative merits of different models remains limited. Using CO2 flux measurements from multiple eddy covariance sites, we here compared and assessed major algorithms and performance of seven LUE models (CASA, CFix, CFlux, EC-LUE, MODIS, VPM and VPRM). Comparison between simulated GPP and estimated GPP from flux measurements showed that model performance differed substantially among ecosystem types. In general, most models performed better in capturing the temporal changes and magnitude of GPP in deciduous broadleaf forests and mixed forests than in evergreen broadleaf forests and shrublands. Six of the seven LUE models significantly underestimated GPP during cloudy days because the impacts of diffuse radiation on light use efficiency were ignored in the models. CFlux and EC-LUE exhibited the lowest root mean square error among all models at 80% and 75% of the sites, respectively. Moreover, these two models showed better performance than others in simulating interannual variability of GPP. Two pairwise comparisons revealed that the seven models differed substantially in algorithms describing the environmental regulations, particularly water stress, on GPP. This analysis highlights the need to improve representation of the impacts of diffuse radiation and water stress in the LUE models.
机译：在量化全球碳循环过程中，模拟陆地生态系统的总初级生产力（GPP）是一项重大挑战。最近开发了许多不同的光使用效率（LUE）模型，但是我们对不同模型的相对优点的理解仍然有限。我们使用来自多个涡度协方差站点的CO2通量测量，比较并评估了七个LUE模型（CASA，CFix，CFlux，EC-LUE，MODIS，VPM和VPRM）的主要算法和性能。从通量测量得到的模拟GPP和估计GPP之间的比较表明，模型性能在生态系统类型之间存在很大差异。一般而言，与常绿阔叶林和灌木地相比，大多数模型在捕获落叶阔叶林和混交林中GPP的时间变化和幅度方面表现更好。在阴天期间，七个LUE模型中的六个显着低估了GPP，因为模型中忽略了漫射辐射对光使用效率的影响。在所有模型中，CFlux和EC-LUE的均方根误差最低，分别为80％和75％。此外，这两个模型在模拟GPP的年际变化方面显示出比其他模型更好的性能。两次成对比较显示，这七个模型在描述GPP上的环境规定（尤其是水分胁迫）的算法上有很大不同。该分析强调了在LUE模型中需要改进对扩散辐射和水应力影响的表示的必要性。

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