Leaf gas exchange, spectral reflectance and leaf composition, BIONTE, Brazil, 2022

Leaf traits measured at the top of the canopy on 10 species at the BIONTE experimental plot T1B4SB3, near Manaus, Brazil, in August and September, 2022. The aim of this study was to test the relationship between leaf water use efficiency and wood density. Ten tree species located in close proximity of each other (within 50 meters) were selected and classified by wood density (low or high). Sampling was carried out on top-of-canopy leaves accessed by an articulated boom lift. Survey gas exchange measurement were performed on attached leaves at various times during the day. Following gas exchange, the leaf was harvested, and measured for spectral reflectance, leaf water content, leaf mass per area and leaf carbon content and leaf nitrogen content. Additional leaves other than those used for gas exchange were also harvested from different branches on the same tree for spectral reflectance and leaf trait measurements. Data in this data package is presented in csv files, with metadata in csv and descriptive experimental protocols as pdf. Gas exchange data and metadata meets the requirements of the ESS-DIVE reporting format for leaf gas exchange data and metadata.本数据集采集于2022年8月至9月，在巴西马瑙斯附近的BIONTE试验样地T1B4SB3中开展，针对10个植物物种的冠层顶部叶片进行性状测定。本研究旨在探究叶片水分利用效率与木材密度之间的关联。研究选取了彼此间距不超过50米的10个乔木树种，并依据木材密度划分为低、高两类。采样工作针对通过铰接式臂式升降装置获取的冠层顶部叶片展开。于日间不同时段对附着于植株的叶片开展气体交换测定。完成气体交换测定后，采集该叶片并测定其光谱反射率、叶片含水量、单位面积叶质量、叶片碳含量及叶片氮含量。此外，还从同一植株的不同枝条上采集了除气体交换测定用叶之外的额外叶片，用于光谱反射率及其他叶片性状的测定。本数据包内的数据以CSV格式文件存储，元数据同样采用CSV格式，实验方案说明文档则以PDF格式提供。气体交换数据及元数据符合ESS-DIVE叶片气体交换数据与元数据报告规范要求。