树木水力和结构特征的全球数据集,这些特征是从家族遗传关系中推断出来的
James Knighton1, Pablo Sanchez-Martinez2, Leander Anderegg3
1Department of Natural Resources and the Environment, University of Connecticut, Storrs, Connecticut, USA. james.knighton@uconn.edu.
Scientific data
|December 18, 2024
概括
我们创建了一个庞大的植物特征数据集,用于55779个树种的植物特征,使用了家族遗传关系. 该资源有助于全球植物特征分析和地球系统建模.
科学领域:
- 生态生态学 生态生态学
- 植物生物学 植物生物学
- 计算生物学 计算生物学
背景情况:
- 植物的液压和结构特征对于理解生态系统功能至关重要.
- 现有的特征数据集往往缺乏对许多树种的全面覆盖.
- 遗传学关系可以为未研究的物种赋予特征的信息.
研究的目的:
- 为55779种树种开发一个全面的植物特征数据集.
- 为了利用家族遗传信号进行准确的特征预测.
- 为全球生态研究和地球系统模型提供有价值的资源.
主要方法:
- 利用TRY植物特征数据集和植物遗传关系进行归算.
- 收集了关于最大口腔导电率 (gsMAX),树叶压力 (P12,P50,P88),最大根深度 (rdMAX),用水效率 (WUE),植物高度,特定叶面积 (SLA) 和叶子 (LeafN) 的数据.
- 采用随机森林 (RF) 模型,在现有数据和植物遗传特异向量地图上进行训练,以归因未研究物种的特征,量化不确定性.
主要成果:
- 在陆地植物中对所有研究的植物特征展示了显著的植物遗传信号.
- 对55779个树种成功归因了广泛的植物液压和结构特征.
- 量化归算不确定性,表明生成的数据集中缺乏偏差.
结论:
- 假定特征数据集为全球植物特征变异研究提供了广泛的覆盖范围.
- 这一数据集使地球系统模型的物种级参数化成为可能.
- 该方法为大规模生态研究中的特征归因提供了强大的方法.
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