Leaf isoprene and monoterpene emission data-set across hyperdominant tree genera in the Amazon basin

This data package contains the analyzed data used to support the publication "Leaf isoprene and monoterpene emission distribution across hyperdominant tree genera in the Amazon basin," Phytochemistry, in-press. Understanding how plant carbon metabolism responds to environmental variables such as light is central to understanding ecosystem carbon cycling and the production of food, biofuels, and biomaterials. Here, we couple a portable leaf photosynthesis system to an autosampler for volatile organic compounds (VOCs) to enable field observations of net photosynthesis simultaneously with emissions of VOCs as a function of light. Following sample collection, VOCs are analyzed using automated thermal desorption-gas chromatograph-mass spectrometry (TD-GC-MS). Leaf isoprenoid GC-MS peak areas and calculated emission rates from 47 different tree species during controlled light response curves are presented across four sites in the Amazon. Within the attached zip file, Excel files are organized by tree species and site name. A single Excel file labeled "SummaryAndStatistics" includes a qualitative summary of our findings. For detailed methods and accompanying data packages, refer to the related material cited under Related References.

本数据包包含用于支撑已被《Phytochemistry》（植物化学）接收待刊的论文《亚马逊流域优势树木属叶片异戊二烯与单萜排放分布》（Leaf isoprene and monoterpene emission distribution across hyperdominant tree genera in the Amazon basin）的分析数据。阐明植物碳代谢如何响应光照等环境变量，是理解生态系统碳循环以及粮食、生物燃料与生物基材料生产的核心要义。本研究将便携式叶片光合系统与挥发性有机物（volatile organic compounds, VOCs）自动进样器联用，可在野外同步观测净光合速率与挥发性有机物排放，并探究其随光照强度的变化规律。样品采集完成后，采用自动热脱附-气相色谱-质谱联用仪（automated thermal desorption-gas chromatograph-mass spectrometry, TD-GC-MS）对挥发性有机物进行分析。本数据集呈现了亚马逊流域4个样地中47个不同树种在受控光响应曲线实验下的叶片类异戊二烯GC-MS峰面积与计算得到的排放速率。附件压缩包内的Excel文件按树种与样地名称分类整理。另有一个命名为SummaryAndStatistics的Excel文件，收录了本研究发现的定性总结。如需获取详细实验方法与配套数据包，请参阅相关参考文献项下引用的关联材料。