Research Group of Plant and Vegetation Ecology, University of Antwerp, Campus Drie Eiken, Department of Biology, Universiteitsplein 1, 2160 Wilrijk, Belgium.
Environ Pollut. 2010 Oct;158(10):3251-60. doi: 10.1016/j.envpol.2010.07.026. Epub 2010 Aug 11.
In this study we tested and compared a multiplicative stomatal model and a coupled semi-empirical stomatal-photosynthesis model in their ability to predict stomatal conductance to ozone (gst) using leaf-level data from oilseed rape (Brassica napus L.) and broccoli (Brassica oleracea L. var. italica Plenck). For oilseed rape, the multiplicative model and the coupled model were able to explain 72% and 73% of the observed gst variance, respectively. For broccoli, the models were able to explain 53% and 51% of the observed gst variance, respectively. These results support the coupled semi-empirical stomatal-photosynthesis model as a valid alternative to the multiplicative stomatal model for O3 flux modelling, in terms of predictive performance.
在这项研究中,我们测试并比较了一个乘法气孔模型和一个耦合半经验气孔-光合作用模型,以预测油菜( Brassica napus L.)和西兰花( Brassica oleracea L. var. italica Plenck)叶片水平数据的气孔对臭氧( gst )的导度。对于油菜,乘法模型和耦合模型分别能够解释 72%和 73%的观察到的 gst 方差。对于西兰花,这两个模型分别能够解释 53%和 51%的观察到的 gst 方差。这些结果支持耦合半经验气孔-光合作用模型作为乘法气孔模型的有效替代方案,用于 O3 通量建模,在预测性能方面。