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KMID : 0368419990420010032
Journal of Plant Biology
1999 Volume.42 No. 1 p.32 ~ p.40
Comparison of Two Numerical Models on Photosynthetic Response of Quercus mongolica Leaves to Air Pollutants
Kim, Joon Ho
Ihm, Byung Sun/Kim, Jong Wook
Abstract
A multiple-regression model is presented for estimating the effect of major air pollutants on net photosynthetic rate (Pn) of Quercus mongolica leaves, of which visible injury is not shown. Photosynthetic capacity was found to be primarily a function of PPFD, air temperature (T) and ambient ozone (O_3) concentration. The negative direction of photosynthetic capacity response to O_3 concentration indicates a potential growth reduction of Q. mongolica due to ambient O_3 concentration in the urban areas of Korea. The model was compared with a non-linear regression model including the same variables. We assessed the contribution of variables to two two models of ambient O_3 affecting Pn of Q. mongolica leaves. The mean Pn difference between the models with and without ambient O_3 in the multiple-regression was smaller than that in the non-linear regression. The relative contributions of ambient O_3 to multiple-regression and non-linear regression were 12.6% and 5.6%, respectively. The results indicate that multiple-regression models can be applicable for qualitative or quantitative assessment of the effect of air pollutants on Pn response of plant leaves, of which visible injury may not be shown in situ. Also, the assessment of ecophysiological effects using numerical models will have a degree of uncertainty associated with the measuring time/period of the field data used in the modelling, as well as the numerical structure of the models.
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