2020-2022中国典型生态系统植物关键性状数据集

本数据集于2020-2022年对中国60个典型生态系统（森林、草地、荒漠、农田和湿地）开展规范的野外调查和植物样品采集测试工作，其以小样方为单位编组，记录乔木层物种的生长与分布格局，构建了一套覆盖中国典型生态系统的植物关键性状数据集。本数据集包含了样点位置，生态系统类型，生态系统关键性状（比叶面积、叶片含水量、叶片厚度、气孔密度、气孔器长度、气孔器宽度、气孔长度、气孔宽度、气孔比面积、叶片碳含量、叶片氮含量、叶片磷含量、叶片硫含量、叶片钾含量、叶片钙含量和叶片镁含量）等信息。数据以站点为单元。数据集包含1个excel表，1个sheet表，总计229条记录。所有数据可完全开放共享。

This dataset was developed through standardized field surveys and plant sample collection and testing on 60 typical ecosystems (forests, grasslands, deserts, farmlands, and wetlands) across China from 2020 to 2022. It is grouped by small quadrats, documenting the growth and distribution patterns of tree-layer species and constructing a comprehensive plant key trait dataset covering China's typical ecosystems. This dataset includes information such as sampling site locations, ecosystem types, and key plant traits: Specific Leaf Area (SLA), Leaf Water Content, Leaf Thickness, Stomatal Density, Stomatal Apparatus Length, Stomatal Apparatus Width, Stomatal Length, Stomatal Width, Stomatal Specific Area, Leaf Carbon Content, Leaf Nitrogen Content, Leaf Phosphorus Content, Leaf Sulfur Content, Leaf Potassium Content, Leaf Calcium Content, and Leaf Magnesium Content. The data are organized by study sites. The dataset consists of 1 Excel spreadsheet with 1 worksheet, containing a total of 229 records. All data are fully openly accessible and shareable.