Dataset Kanieski et al. 2025. <b>How to diversify native trees in cities: </b>a trait-based approach in the Atlantic Forest in southern.

This dataset accompanies the article “Kanieski, M. R. et al. (2025). How to diversify native trees in cities: a trait-based approach in the Atlantic Forest in Southern Brazil.” accepted for publication in the Brazilian Journal of Biology. The files provided include the datasets and the R script used for the analyses. Files dados_final_pers_g.csv This file contains the information used for the clustering analysis. dados_final_pers_factor.csv This file contains the information used for the PCA analysis. radar_G1.csv This file contains the information used to build the radar chart. Script_urban_tree.R This file contains the R script used for the analyses. Variable legend: especies = tree speciesgrupo = groupssubgrupo = subgroupslog.SM = logarithm of seed mass (SM)SM = seed mass (g)AH = average height (m)Wd = wood density (g/cm³)LP = leaf persistenceSD = semideciduousD = deciduousPS = persistent本数据集配套于已被《巴西生物学杂志（Brazilian Journal of Biology）》接收待刊的论文《Kanieski, M. R. 等（2025）：如何实现城市乡土乔木多样性——巴西南部大西洋森林的功能性状研究方法（How to diversify native trees in cities: a trait-based approach in the Atlantic Forest in Southern Brazil）》。本次提供的文件包含本研究的数据集及分析所用的R脚本。 ### 文件清单 dados_final_pers_g.csv：本文件包含聚类分析所用的数据集。 dados_final_pers_factor.csv：本文件包含主成分分析（PCA）所用的数据集。 radar_G1.csv：本文件包含雷达图构建所用的数据集。 Script_urban_tree.R：本文件包含分析所用的R脚本。 ### 变量说明 especies = 树种（tree species） grupo = 类群（groups） subgrupo = 亚类群（subgroups） log.SM = 种子质量（SM）的对数值 SM = 种子质量（g） AH = 平均树高（m） Wd = 木材密度（g/cm³） LP = 叶片持留性 SD = 半落叶（semideciduous） D = 落叶（deciduous） PS = 常绿（persistent）