Photosynthetic parameter estimations by considering interactive effects of light, temperature and CO2 concentration
文献类型：SCI/SSCI论文
| 作者 | Guo L. P.; Kang, H. J.; Ouyang, Z.; Zhuang, W.; Yu, Q. |
| 发表日期 | 2015 |
| 关键词 | A-Q curve A-C-i curve Arrhenius temperature equation Leaf photosynthesis model WinBUGS biochemically based model net ecosystem exchange stomatal conductance leaf photosynthesis mesophyll conductance populus-euphratica winter-wheat elevated co2 c-3 plants leaves |
| 英文摘要 | Biochemical leaf photosynthesis models are evaluated by laboratory results and have been widely used at field scale for quantification of plant production, biochemical cycles and land surface processes. It is a key issue to search for appropriate model structure and parameterization, which determine model uncertainty. A leaf photosynthesis model that couples the Farquhar-von Caemmerer-Berry (FvCB) formulation to four different leaf temperature models is used to investigate the photosynthetic characteristics across a range of temperature gradients using both light (A-Q) and CO2 response curves (A-C-i). We used the Bayesian approach to fit the model to trial data of C-3 crop plants (soybean, wheat) in the North China Plain and estimated key photosynthetic parameters, such as the maximum carboxylation rate of Rubisco (V-cmax25), the potential electron transport rate (J(max25)), leaf dark respiration in the light (R-d25), mesophyll conductance (g(m25)) and the kinetic parameter of Rubisco (Gamma(25)*) at a reference temperature of 25 degrees C. The results showed that 1) the model with moderate complexity showed the best goodness of fit, while conversely the simpler and more complex models were under and over fitting with their corresponding data, respectively; 2) the non-peaked Arrhenius temperature response, which including both light and CO2 responses data gave the best estimates for the key parameters among the four models; and 3) the temperature gradient used to verify the model has greatly improved the estimation of six key parameters (J(max25), V-cmax25, R-d25, Gamma(25)*, K-c25, g(m25)) with relatively more narrow confidence intervals (CIs) and showing regular variation on temperature gradient. Overall, this method offers an accurate basis for estimating leaf photosynthesis parameters and may enhance the accuracy of canopy, ecosystem and even global vegetation models. |
| 出处 | International Journal of Plant Production |
| 卷 | 9 |
| 期 | 3 |
| 页 | 321-345 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1735-6814 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38438]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Guo L. P.,Kang, H. J.,Ouyang, Z.,et al. Photosynthetic parameter estimations by considering interactive effects of light, temperature and CO2 concentration. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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