UAV-LIDAR and RGB imagery reveal intraspecific variability of morphometric traits in two Mediterranean pines

We evaluate the potential of LiDAR and RGB imagery obtained through unmanned aerial vehi-cles (UAVs) as high-throughput phenotyping tools for the characterization of tree growth and crown structure in two representative Mediterranean pine species (P. nigra and P. halepensis). Both UAV-based methods were then tested for their accuracy to detect genotypic differentiation among Pinus nigra and Pinus halepensis populations and their subspecies (black pine) or ecotypes (Aleppo pine). We investigated the possible relation between intraspecific variation of morphometric traits and life-history strategies of populations by correlating traits to climate factors at origin of pop-ulations. Finally, we investigated which traits distinguished better among black pine subspecies or Aleppo pine ecotypes.
The data included raw values of morphometric traits derived from LiDAR and RGB-UAVs and measured in situ, populations means of statistically relevant morphometric traits and climate variables at site, and subspecies (P. nigra) and ecotypes (P. halepensis) means of statistically significant morphometric traits.

我们评估了通过无人机（UAVs）获取的LiDAR数据与RGB影像作为高通量表型分析工具的潜力，旨在表征两种代表性地中海松树种（黑松P. nigra与阿勒颇松P. halepensis）的树木生长及树冠结构特征。随后，我们测试了这两种基于无人机的方法在检测黑松（Pinus nigra）与阿勒颇松（Pinus halepensis）种群及其亚种（黑松亚种）或生态型（阿勒颇松生态型）间基因型分化的准确性。我们通过将形态测量性状与种群原产地的气候因子相关联，探究了形态测量性状的种内变异与种群生活史策略之间的潜在关系。最后，我们分析了哪些性状能更有效地区分黑松亚种或阿勒颇松生态型。

该数据集包含以下内容：来源于LiDAR与RGB无人机的形态测量性状原始值及原位测量值；统计相关的形态测量性状种群均值与站点气候变量；以及统计显著的形态测量性状的黑松（P. nigra）亚种均值与阿勒颇松（P. halepensis）生态型均值。