Regional and local variation in chemical, structural, and physical leaf traits for tree species in the northeastern United States, 2016-2023.

This dataset is a compilation of leaf trait measurements for 25 different Northern American tree species in the northeastern United States collected between 2016 and 2023 by the Terrestrial Ecosystems Analysis Lab at the University of New Hampshire. Currently, this dataset contains measurements for 2,006 samples across 18 chemical, physical, and structural traits. Measured traits include stable isotopes for carbon (C) and nitrogen (N), chlorophyll estimates, leaf and petiole dimensions, and leaf and petiole water content. Traits have been measured at plots spanning a wide range of latitude, longitude, elevation, and forest types. A simple table containing these plot descriptions has been included. Additional leaf physiological and optical traits have been measured concurrently on many of these samples and have been or will be published separately. This is a continuous dataset that will be updated on an as needed basis.

本数据集为新罕布什尔大学陆地生态系统分析实验室（Terrestrial Ecosystems Analysis Lab）于2016至2023年间采集的美国东北部25种北美树木的叶片性状测量数据汇编。目前，本数据集包含18项化学、物理及结构性状的2006条样本测量数据。所测性状包括碳（C）、氮（N）稳定同位素，叶绿素含量估算值，叶片与叶柄的形态尺寸，以及叶片和叶柄的含水量。性状测量覆盖了纬度、经度、海拔及森林类型跨度广泛的多个样地，本数据集附带一份记录这些样地基本信息的简易表格。本数据集还同步为大量样本采集了额外的叶片生理与光学性状数据，相关研究成果已或将另行发表。本数据集为持续性数据集，将根据实际需求适时更新。