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Evaluation of isoprene emission rates of tropical trees by an iterative optimization procedure for G-93 parameters
Atmospheric Environment ( IF 4.2 ) Pub Date : 2018-11-01 , DOI: 10.1016/j.atmosenv.2018.08.059
Takuya Higa , Shahanaz Parveen , Ishmael Mutanda , Md Asif Iqbal , Masashi Inafuku , Fumio Hashimoto , Hirosuke Oku

Abstract Isoprene emissions from six tropical trees were evaluated by “Ping-Pong” method that iteratively optimized the temperature (CT) and light (CL) parameters of the Guenther model, G-93. Six tropical trees; Bauhinia variegate (camel's foot tree), Calophyllum inophyllum (ball tree), Garcinia subelliptica (fukugi tree), Syzygium cumini (black plum), Syzygium samarangense (wax jambu), and Mangifera indica (mango; red and yellow fruit) were exposed to LED light in a phytotron. Saplings of Populus nigra were similarly treated under the same experimental conditions for reference. The irradiance protocol consisted of 26 steps and two cycles of increase and decrease in light intensity. Plants were exposed to a wide variation in light intensity (200–1500 μmol/m2/s), which resulted in leaf temperature variation of 29–40 °C. Predictions of isoprene emission by the optimized G-93 well captured the light and temperature dependent increase and decrease of isoprene emission rate in all tropical trees assessed. Comparatively, G-93 with default parameters showed lower efficacy in predicting emission rates during the ascending phase in the initial round, and at the peak phase in the second round of the irradiation scheme. G-93 with default parameters overestimated emissions at the initial ascending phase and underestimated at the second peak phase. Calculated Q10 values for isoprene emission from tropical trees were much higher than that of the temperate plant P. nigra under same observational conditions. These results strongly imply that isoprene emission behavior of tropical plants deviate from that of temperate plant.

中文翻译:

通过 G-93 参数的迭代优化程序评估热带树木的异戊二烯排放率

摘要 通过“乒乓”方法评估了六种热带树木的异戊二烯排放,该方法迭代优化了 Guenther 模型 G-93 的温度 (CT) 和光 (CL) 参数。六棵热带树木;Bauhinia variegate(骆驼足树)、Calophyllum inophyllum(球树)、Garcinia subelliptica(fukugi 树)、Syzygium cumini(黑李子)、Syzygium samarangense(wax jambu)和 Mangifera indica(芒果;红色和黄色水果)暴露于植物加速器中的 LED 灯。在相同的实验条件下对黑杨树苗进行类似处理以供参考。辐照度协议包括 26 个步骤和两个光强度增加和减少的循环。植物暴露在光强度变化很大(200-1500 μmol/m2/s)下,导致叶片温度变化为 29-40 °C。优化的 G-93 井对异戊二烯排放的预测捕获了评估的所有热带树木中异戊二烯排放率的光和温度依赖性增加和减少。相比之下,具有默认参数的 G-93 在第一轮上升阶段和第二轮辐照方案的峰值阶段预测发射率的效率较低。使用默认参数的 G-93 在初始上升阶段高估了排放量,而在第二个峰值阶段低估了排放量。在相同的观测条件下,热带树木异戊二烯排放的 Q10 计算值远高于温带植物 P. nigra 的 Q10 值。这些结果强烈暗示热带植物的异戊二烯排放行为不同于温带植物的异戊二烯排放行为。
更新日期:2018-11-01
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