Data from: Temporal changes in taxonomic and functional alpha and beta diversity across tree communities in subtropical Atlantic forests

The study is published in Oikos and available at: https://doi.org/10.1111/oik.10961 Here we aim to assess temporal taxonomic and functional alpha and beta diversity of adult and juvenile tree communities across 11 sites in the subtropical Brazilian Atlantic Forest to infer about trends and drivers of biodiversity change. The tree communities were evaluated for temporal changes in: (1) taxonomic and functional alpha diversity, (2) taxonomic and functional composition (beta diversity), and (3) identifying potential abiotic and biotic drivers of these changes, considering three censuses across a period of 10 years. Files description: traits-adults.csv - adult tree species and their functional traits values. traits-juveniles.csv - juvenile tree species and their functional trait values. abundance-adults_synthesis.csv - adult tree species abundance over the three time periods of forest surveys (T1, T2, and T3). Raw data on tree individual level is available at ForestPlots.net database (https://forestplots.net/) under request. abundance-juveniles_synthesis.csv - juvenile tree species abundance over the three time periods of forest surveys (T1, T2, and T3). Raw data on tree individual level is available at ForestPlots.net database (https://forestplots.net/) under request. Functional traits abbreviations are defined as follows: LA = leaf area; SLA = specific leaf area; WD = wood density; SM = seed mass; range_temp = range of mean annual temperature; range_CWD = range of climatological water deficit; and biomes_distrib = number of Brazilian biomes that the species occur according to Flora and Funga do Brazil. Acknowledgments This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001, through Portal de Periódicos and scholarships granted to JMFK, JK and RCP. The fieldwork was supported by Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS grant numbers 2218 – 2551/12-2 and 19/2551-0001698-0), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq/FAPERGS/PELD number 441590/2020-9), and the Instituto Nacional de Ciência e Tecnologia (INCT) in Ecology, Evolution and Biodiversity Conservation, supported by MCTIC/CNPq (grant number 465610/2014-5). KMB gratefully acknowledge the financial support by the National Institute of Science and Technology in Low Carbon Emission Agriculture (INCT-ABC) sponsored by Brazil’s National Council for Scientific and Technological Development (CNPq, grant no. 406635/2022-6), the Foundation for Research Support of the State of Rio Grande do Sul (Fapergs, grant no. 22/2551-0000392-3), and the Ministry of Agriculture (MAPA). SCM is supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; grant number 309659/2019-1. Please find below the data used in the study.本研究发表于《Oikos》期刊，可通过以下链接获取：https://doi.org/10.1111/oik.10961 本研究旨在评估巴西亚热带大西洋森林11个样地内成年与幼树群落的时间序列分类与功能α多样性、β多样性，以推断生物多样性变化的趋势与驱动因子。研究基于10年间的3次森林调查，从三个维度评估树木群落的时间变化：(1) 分类与功能α多样性；(2) 分类与功能组成（即β多样性）；(3) 识别上述变化的潜在非生物与生物驱动因子。 文件说明： traits-adults.csv：成年树木物种及其功能性状值。 traits-juveniles.csv：幼树物种及其功能性状值。 abundance-adults_synthesis.csv：三次森林调查时段（T1、T2、T3）内成年树木物种的多度数据。树木个体水平的原始数据可通过申请获取自ForestPlots.net数据库（https://forestplots.net/）。 abundance-juveniles_synthesis.csv：三次森林调查时段（T1、T2、T3）内幼树物种的多度数据。树木个体水平的原始数据可通过申请获取自ForestPlots.net数据库（https://forestplots.net/）。 功能性状缩写定义如下：LA = 叶面积（leaf area）；SLA = 比叶面积（specific leaf area）；WD = 木材密度（wood density）；SM = 种子质量（seed mass）；range_temp = 年平均温度范围；range_CWD = 气候水分亏缺范围；biomes_distrib = 该物种在巴西境内分布的生物群落数量，数据基于《巴西植物与真菌志》（Flora and Funga do Brazil）。 致谢 本研究部分受巴西高等教育人员发展协调局（Coordenação de Aperfeiçoamento de Pessoal de Nível Superior，CAPES）资助，资助代码001，通过期刊门户（Portal de Periódicos）为JMFK、JK与RCP提供奖学金。野外工作得到南里奥格兰德州研究资助基金会（Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul，FAPERGS，资助编号2218 – 2551/12-2与19/2551-0001698-0）、国家科学技术发展委员会（Conselho Nacional de Desenvolvimento Científico e Tecnológico，CNPq/FAPERGS/PELD，资助编号441590/2020-9）以及生态、进化与生物多样性保护国家科学技术研究所（Instituto Nacional de Ciência e Tecnologia em Ecologia, Evolução e Conservação da Biodiversidade）支持，该研究所由MCTIC/CNPq资助（资助编号465610/2014-5）。KMB衷心感谢国家低碳排放农业科学技术研究所（INCT-ABC）的资助，该项目由巴西国家科学技术发展委员会（CNPq，资助编号406635/2022-6）、南里奥格兰德州研究资助基金会（Fapergs，资助编号22/2551-0000392-3）与农业部（MAPA）共同资助。SCM受国家科学技术发展委员会（Conselho Nacional de Desenvolvimento Científico e Tecnológico，CNPq，资助编号309659/2019-1）支持。 请查阅以下为本研究使用的数据。