<b>Changes in the functional composition of the understorey across European temperate forests, in relation to changes in canopy openness, changes in N deposition rates and climate warming</b>

Dataset used in "Combining multiple investigative approaches to unravel functional responses to global change in the understorey of temperate forests" published in Global Change Biology (accepted nov 2023).Data on changes in the functional composition (cover, CWM plant heigth and CWM specific leaf area) of herbaceous understorey communities in temperate forests as a response to temperature changes, changes in atmospheric deposition rates and changes in light availability. Three datasets are included:<b>Opportunistic resurvey database </b>(opportunistic_resurvey_database.csv): derived from the forestREplot database: a database of forest herb layer resurvey plots, spread across the temperate zones of the globe. The database is used to quantify changes in herb layer composition and forest functioning, and to assess the effects of global environmental changes such as nitrogen deposition and climate change. Original community composition data can be found here: http://forestreplot.ugent.be.<b>Orthogonally-distributed resurvey study </b>(pastforward_resurvey_study.csv): based on a distributed understorey resurvey study carried out in the frame of ERC project PASTFORWARD (see http://pastforward.ugent.be).<b>Manipulative global-change experiment </b>(pastforward_mesocosm_experiment.csv):<b> </b>based on a mesocosm experiment (understorey communities, planted in plastic trays and dug into the soil of a temperate forest in Belgium (Aelmoeseneie forest), and exposed to warming, light addition and N fertilization) set up in the frame of ERC project PASTFORWARD (see http://pastforward.ugent.be).本数据集应用于发表于《全球变化生物学（Global Change Biology）》（2023年11月接收）的论文《结合多种研究方法解析温带林下层植被对全球变化的功能响应》。该数据集记录了温带森林草本下层群落的功能组成变化数据，包括盖度、群落加权平均（Community Weighted Mean，CWM）植物高度以及群落加权平均（Community Weighted Mean，CWM）比叶面积，用以反映其对温度变化、大气沉降速率变化与光照可利用性变化的响应。本次数据集包含三个部分： **机会性重测数据库（Opportunistic resurvey database，opportunistic_resurvey_database.csv）**：源自forestREplot数据库——一个覆盖全球温带区域的森林草本层重测样地数据库，可用于量化草本层组成与森林功能的变化，并评估氮沉降、气候变化等全球环境变化的影响。原始群落组成数据可通过以下链接获取：http://forestreplot.ugent.be。 **正交分布重测研究（Orthogonally-distributed resurvey study，pastforward_resurvey_study.csv）**：基于欧洲研究理事会（European Research Council，ERC）项目PASTFORWARD框架下开展的分布式林下层重测研究，详细信息可访问http://pastforward.ugent.be。 **控制性全球变化实验（Manipulative global-change experiment，pastforward_mesocosm_experiment.csv）**：基于欧洲研究理事会（ERC）项目PASTFORWARD框架下设置的中宇宙实验——将草本林下层群落种植于塑料托盘并埋入比利时艾尔莫瑟尼森林（Aelmoeseneie forest）的温带林土壤中，施加增温、光照补充与氮施肥处理，详细信息可访问http://pastforward.ugent.be。

搜集汇总

背景与挑战

背景概述

该数据集研究了欧洲温带森林林下草本植被功能组成（如覆盖度、平均植物高度和比叶面积）的变化，关联冠层开放度、氮沉降速率和气候变暖的影响。数据集包含三个部分：机会性再调查数据库、正交分布再调查研究和操纵性全球变化实验，用于分析全球变化对森林生态系统的响应。数据源自ERC项目PASTFORWARD，支持森林生态和全球变化生物学研究。