Characteristics of isoprene emission from moso bamboo leaves in a forest in central Taiwan
Characteristics of isoprene emission from moso bamboo leaves in a forest in central Taiwan
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DOI：
10.1016/j.atmosenv.2019.05.026
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发表时间：
2019-08-15
影响因子：
5
通讯作者：
Kosugi, Yoshiko
中科院分区：
文献类型：
--
作者：
Chang, Tingwei;Kume, Tomonori;Kosugi, Yoshiko
毛竹（Phyllostachys edulis）的扩张可能会影响区域异戊二烯排放。基于实测数据的建模是评估毛竹扩展潜在影响的有效方法。G93算法是目前应用最广泛的模型之一，但还没有研究测试该算法对毛竹异戊二烯排放的适用性。本研究旨在建立毛竹异戊二烯排放通量的模拟模型。为此，本研究探讨了毛竹异戊二烯释放能力及其对环境因子（叶温、光照）的响应。3）对毛竹异戊二烯排放通量的G93算法进行了重复性检验。本研究以改良的光合作用系统及碳吸收剂，以温室法来量化台湾中部亚热带湿润气候下竹叶所释放的异戊二烯。首先，对12种竹类的异戊二烯排放进行了筛选，结果表明毛竹具有显著的异戊二烯排放潜力。其次，从夏季到春季，我们每个月都测量了光照控制下毛竹叶片异戊二烯排放通量。异戊二烯排放通量随光合光子通量密度（PPFD）的增加而增加;在PPFD充足的条件下，异戊二烯排放通量的季节变化受叶温的调节，低叶温条件下异戊二烯排放通量较低。第三，在叶温< 23摄氏度的时期，在G93算法中观察到高估。采用G93算法结合场地参数可以改善低温期的高估现象。本研究表明，在G93算法中参数化的必要性，以重现抑制异戊二烯排放通量的毛竹叶片在低温时期。
The expansion of moso bamboo (Phyllostachys edulis) may potentially impact regional isoprene emissions. Modeling based on field measurements is an effective approach for assessing the potential impact of the moso bamboo expansion. The G93 algorithm is one of the most widely used models, however no studies have tested the applicability of the algorithm for moso bamboo isoprene emission. This study was undertaken to establish a model for reproducing moso bamboo isoprene emission fluxes. To this aim, this study examined 1) the isoprene emission ability of moso bamboo, and 2) its responses to environmental factors such as leaf temperature and light. We also tested 3) the reproducibility of the G93 algorithm for moso bamboo isoprene emission fluxes. This study used a chamber method with a modified photosynthesis system and carbon absorbents to quantify isoprene emitted from bamboo leaves in central Taiwan under the humid subtropical climate. First, we screened isoprene emission from 12 bamboo species, and the results confirmed that moso bamboo exhibited significant isoprene emission potential. Second, we measured isoprene emission fluxes from moso bamboo leaves with light controls every month from summer to spring. The isoprene emission fluxes increased with photosynthetic photon flux density (PPFD); under sufficient PPFD conditions, the seasonal changes in the isoprene emission fluxes were regulated by leaf temperature, and low isoprene emission fluxes were found in low leaf temperature conditions. Thirdly, overestimations were observed in the G93 algorithm with the original parameters in periods with leaf temperatures < 23 degrees C. Using the G93 algorithm with site-specific parameters could improve the overestimation in the low-temperature period. This study suggests the necessity of parameterization in the G93 algorithm to reproduce the suppression of isoprene emission fluxes from moso bamboo leaves in the low-temperature period.