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Leaf reflectance, leaf transmittance and sky irradiance, at four sites in Panama, 2022

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DataONE2024-10-28 更新2025-04-26 收录
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Paired leaf reflectance and transmittance data measured in Panama, at the Parque Natural Metropolitano (PNM), on Barro Colorado Island (BCI), at the San Lorenzo canopy crane site (SLZ), and in Gamboa, Panama from January to April 2022. Measurements were made on leaves from 57 different tree, shrub and liana species, from sunlit canopy and understory locations. Bark reflectance was also measured on the trunks of common tree species at the PNM and SLZ sites. Also included are irradiance measurements and leaf area index (LAI) from eight vertical profiles at PNM. The aim of these data was to refine our understanding of vertical trait and environmental variation in tropical forests, and to improve models which can predict leaf traits from leaf contact spectral measurements. All spectral data and metadata are presented in .csv files and complete instrument output are included in .zip folders. Protocol details are provided as pdf documents. In addition to spectral data described here, some of these samples were also used for measurement of leaf gas exchange, carbon and nitrogen content, and leaf mass per unit leaf area (LMA) these data can be cross linked using the unique sample ID and are provided in separate related data packages. This dataset was originally published on the NGEE Tropics Archive and is being mirrored on ESS-DIVE for long-term archival Acknowledgement: This research was supported as part of NGEE-Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract no. DE-SC0012704.

本数据集为成对叶片反射率与透射率数据,于2022年1-4月在巴拿马的都会自然公园(Parque Natural Metropolitano,PNM)、巴罗科罗拉多岛(Barro Colorado Island,BCI)、圣洛伦索冠层塔吊样地(San Lorenzo canopy crane site,SLZ)以及巴拿马甘博亚地区采集获得。测量样本涵盖57个不同乔木、灌木及藤本物种的叶片,分别取自向阳冠层与林下两种生境。研究团队同时在PNM与SLZ样地,对常见乔木树干的树皮反射率进行了测量。数据集还包含PNM样地8个垂直剖面的辐照度测量数据与叶面积指数(Leaf Area Index,LAI)。本数据集的构建目的在于深化对热带森林垂直功能性状与环境异质性的认知,并优化可通过叶片接触式光谱测量预测叶片功能性状的模型。所有光谱数据与元数据均以逗号分隔值(CSV)文件格式存储,完整的仪器原始输出文件则打包为ZIP压缩文件夹提供。实验流程细节以可移植文档格式(PDF)文件呈现。除上述光谱数据外,部分样本还被用于叶片气体交换、碳氮含量以及比叶重(Leaf Mass per Unit Leaf Area,LMA)的测量。此类数据可通过唯一样本标识符(Sample ID)进行跨表关联,并以独立的关联数据包形式单独发布。本数据集最初发布于NGEE热带研究数据库(NGEE Tropics Archive),目前已在ESS-DIVE平台进行镜像存档以实现长期留存。致谢:本研究作为NGEE-Tropics项目的一部分开展,由美国能源部科学办公室生物与环境研究局通过合同编号DE-SC0012704提供资助。
创建时间:
2024-10-28
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