Data for investigating structural complexity of individual Scots pine trees

Tree functional traits together with processes such as forest regeneration, growth, and mortality affect forest and tree structure. Forest management inherently impacts these processes. Moreover, forest structure, biodiversity, resilience, and carbon uptake can be sustained and enhanced with forest management activities. To assess structural complexity of individual trees, comprehensive and quantitative measures are needed, and they are often lacking for current forest management practices. Fractal analysis and a single scale, independent metric called box dimension offer means for assessing structural complexity of individual trees. Terrestrial laser scanning (TLS) point clouds provide three-dimensional (3D) information on trees that can be utilized in generating the box dimension metric. This data set includes information needed for generating the box dimension from 741 individual Scots pine (<em>Pinus sylvestris</em> L.) trees from 9 sample plots with different thinning treatments located in southern boreal forests. The thinning treatments include two intensities of thinning and control treatment (i.e., no thinning treatment since the establishment). The data set can be used in characterizing structural complexity of individual Scots pine trees of various size as well as assessing effects of various thinning treatments on it. Please see the data descriptor for more information on the data structure and its possibilities. Please keep the designated corresponding author informed of any plans to use the data. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the data must include proper acknowledgement.树木功能性状与森林更新、生长、死亡等过程共同作用，影响森林与林木结构。森林经营活动本身会对这些过程产生显著影响。此外，通过合理的森林经营措施，能够维持并提升森林结构、生物多样性、生态韧性以及碳吸收能力。 若要全面定量评估单木的结构复杂性，需采用配套的量化测量手段，但当前主流的森林经营实践往往缺乏此类方法。分形分析与一种名为盒维数（box dimension）的单尺度独立度量指标，为评估单木结构复杂性提供了可行的技术途径。地面激光扫描（Terrestrial Laser Scanning, TLS）点云可获取林木的三维（3D）信息，能够用于生成盒维数指标。 本数据集涵盖了从9个设置不同间伐处理的南部寒温带针叶林样地中采集的741棵单株欧洲赤松（*Pinus sylvestris* L.）的相关信息，这些信息可用于生成盒维数指标。本次研究的间伐处理包含两种间伐强度与对照组（即自样地建立以来未实施间伐的处理）。 该数据集可用于表征不同径级单株欧洲赤松的结构复杂性，同时可评估不同间伐处理对单木结构复杂性的影响。如需了解更多关于数据集结构与应用场景的详细信息，请参阅数据说明文档。 若计划使用本数据集，请务必及时告知指定的通讯作者。强烈建议与原始研究团队进行咨询或开展合作。使用本数据集生成的出版物及数据产品，必须包含恰当的学术致谢。