<b>Dataset for: Putting space into trait ecology: t</b><b>rait, environment and biodiversity relationships at multiple spatial scales</b>

This dataset present species richness, community functional structure (inter and intraspecific trait variation, trait-trait covariation and functional diversity) and environmental data (soil Nitrogen, Carbon and moisture) from a subtropical forest. The dataset includes all the variables for 25 m², 100 m², 400 m^2, and 1936 m² spatial grains, and further separation in adults and sapling categories for 400 m^2, and 1936 m² spatial grains. Reference: Biswas, S.R, He, D., Li, J., Gong, L., Biswas, P.L., Zhuo, Z., Xu., M., Yang, X. and Yan, E. (2023) Putting space into trait ecology: trait, environment and biodiversity relationships at multiple spatial scales. Journal of Ecology本数据集涵盖亚热带森林的物种丰富度、群落功能结构（包括种间与种内性状变异、性状-性状协变关系及功能多样性）与环境数据（土壤氮、碳及含水量）。数据集包含25 m²、100 m²、400 m²及1936 m²四种空间粒度下的全部变量，并针对400 m²和1936 m²的空间粒度，进一步按成树与幼树类别进行划分。参考文献：Biswas SR, He D, Li J, Gong L, Biswas PL, Zhuo Z, Xu M, Yang X, Yan E (2023) 将空间维度纳入性状生态学：多空间尺度下的性状、环境与生物多样性关系。*Journal of Ecology*

搜集汇总

背景与挑战

背景概述

该数据集来自亚热带森林，提供了物种丰富度、群落功能结构（包括性状变异和功能多样性）和环境数据（如土壤氮、碳和湿度），覆盖了25平方米到1936平方米的多种空间粒度，并在较大粒度上区分了成树和幼树类别。其关键特点在于整合了空间尺度分析，旨在探索性状、环境与生物多样性之间的多尺度关系，适用于生态学和生物多样性研究。