Long-term vegetation carbon turnover dataset of typical mature and young forests in China from 2004 to 2020

The vegetation carbon turnover time (τveg), together with net carbon uptake, determines both the current capacity and future potential for vegetation carbon sequestration. There is a general decreasing trend of τveg in mature forests in many parts of the world, but these studies have ignored the extensive areas of the world, especially in recently developing regions dominated by young forests.To evaluate the temporal trends of τveg and its driving mechanisms across young and mature forests, we generated a dataset of τveg in 28 forest plots (11 mature forests and 17 young forests) collected between 2004 and 2020, based on the long-term standardized in-situ monitoring of Chinese Ecosystem Research Network (CERN). Forest plots of CERN with a minimum of at least three censuses over 10 years were included in the dataset.The dataset mainly includes biomass, litterfall, carbon loss (litterfall and mortality), carbon turnover time of vegetation (τveg) of 11 mature forests and 11 young forests, as well as the corresponding influential factors, i.e., annual mean temperature, annual mean precipitation, atmospheric CO2 concentration, nitrogen deposition, tree diameter at breast height (DBH), tree density, and stand density index (SDI).All data processing was performed in R version 4.4.1, and the missing data means that there are no observations for a given year in certain plots. The descriptions of the column headers of the data table are detailed in the readme file.植被碳周转时间（vegetation carbon turnover time，τveg）与净碳吸收共同决定了植被固碳的当前容量与未来潜力。全球诸多区域的成熟林τveg普遍呈下降趋势，但此类研究未覆盖世界广袤区域，尤其是近期以幼林为主的发展中区域。 为评估幼林与成熟林的τveg时间变化趋势及其驱动机制，本研究基于中国生态系统研究网络（Chinese Ecosystem Research Network，CERN）的长期标准化原位监测数据，构建了2004年至2020年间采集的28个森林样地（含11个成熟林样地与17个幼林样地）的τveg数据集。本数据集纳入了在10年以上周期内至少开展过3次普查的CERN森林样地。 数据集主要包含11个成熟林与11个幼林样地的生物量、凋落物量、碳损失量（凋落物量与林木死亡率）、植被碳周转时间（τveg），以及对应的影响因子，即年平均气温、年平均降水量、大气CO₂浓度、氮沉降、胸径（DBH）、林木密度与林分密度指数（stand density index，SDI）。 所有数据处理均在R 4.4.1版本中完成，缺失数据代表特定样地在对应年份无观测记录。 数据表的列标题详细说明见README文件。

搜集汇总

背景与挑战

背景概述

该数据集基于中国生态系统研究网络（CERN）的长期监测，提供了2004年至2020年中国28个典型森林样地（包括11个成熟林和17个幼龄林）的植被碳周转时间（τveg）及相关变量数据，旨在评估τveg的时间趋势和驱动机制，填补了全球幼龄林区域研究的空白。数据集包含生物量、凋落物、碳损失、τveg以及温度、降水等影响因素，适用于分析森林碳汇能力和气候变化响应研究。