Can faster growth compensate for increased mortality in subtropical dry forest fragments?

Capturing the effects of fragmentation and ongoing changing climate on the population dynamics of long-lived trees requires long-term datasets, but these are uncommon in rainforests and dry forests outside of the tropics. This study capitalised on nine 0.04-ha permanent plots established in 1982 within corridors of old-growth subtropical dry forest (Araucarian vine forest) retained as fire breaks within forestry plantations in Imbil (southern Queensland, Australia). Tree diameter growth and survival were censused in 1997 and 2021, resulting in two monitoring periods. The most recent period was associated with an increasing trend in vapour-pressure deficit (VPD). Consistent with this trend, we found that survival was substantially lower across all size classes in the second period. Mortality-induced reductions in stem density were associated with faster growth rates in all but the largest stems in the second period. Growth was also moderately faster in plots near forest edges in the seco..., No data processing was undertaken other than the tidying and wrangling undertaken in the R scripts., , # Data from: Can faster growth compensate for increased mortality in subtropical dry forest fragments? Date created: 2 May 2024 Authors: Vanessa Moscato, William J. F. McDonald, Birte Balle-Hosking, and John M. Dwyer ### Instructions to run the \"Imbil\_R\_Project\_Final\" R Project: Download all data files outlined below and save them in the \"Data\" subfolder in \"Imbil_R_Project_Final\". Then open the R Project in RStudio and run \"Imbil_analysis_script.R\" to reproduce all analyses, figures, and tables. ## Data description **\"Imbil_plot_scale_data.csv\"**: Plot-scale data for the nine plots * plot_name: name of plot in the format of original logging area number, plot number, and logging area name. * plot: name of plot as used in the R script and manuscript. Values include \"ARAUCARIA1\", \"DERRIER1\", \"DWYER1\", \"FRASER1\", \"FRASER2\", \"FRASER3\", \"MITCHELL1\", \"WESTERN1\", \"YABBA1\". * latitude: latitude (decimal degrees) * longitude: longitude (decimal degrees) * width_of_break_m: wi...研究片段化与持续变化的气候对长寿树木种群动态的影响需要长期数据集，但热带以外的雨林与干旱森林中此类数据集十分稀缺。本研究依托1982年在澳大利亚昆士兰州南部因比尔（Imbil）林区造林防火隔离带中留存的9块0.04公顷永久样地展开，这些样地位于老龄亚热带干旱林（南洋杉藤蔓林）的廊道内。研究分别于1997年与2021年对树木的径级生长与存活状况开展普查，形成两个监测周期。 最新监测周期伴随水汽压亏缺（vapour-pressure deficit, VPD）的上升趋势。与该趋势一致，我们发现在第二个监测周期中，所有径级的树木存活率均显著降低。除最大径级个体外，第二个周期内由死亡导致的茎干密度下降均与更快的生长速率相关。第二个周期中靠近林缘的样地内树木生长速率也适度加快……除通过R脚本完成数据整理与清洗外，未开展其他数据处理工作。 # 数据来源：《亚热带干旱林片段中更快的生长能否补偿死亡率上升？》 创建日期：2024年5月2日 作者：Vanessa Moscato、William J. F. McDonald、Birte Balle-Hosking、John M. Dwyer ### "Imbil_R_Project_Final" R项目运行说明： 下载下述所有数据文件，并将其保存至"Imbil_R_Project_Final"文件夹下的"Data"子文件夹中。随后在RStudio中打开该R项目，运行"Imbil_analysis_script.R"即可复现所有分析、图表与表格。 ## 数据说明 **"Imbil_plot_scale_data.csv"**：9块样地的样地尺度数据 * plot_name：样地名称，格式为原伐木区域编号、样地编号及伐木区域名称 * plot：R脚本与论文中使用的样地名称，取值包括"ARAUCARIA1"、"DERRIER1"、"DWYER1"、"FRASER1"、"FRASER2"、"FRASER3"、"MITCHELL1"、"WESTERN1"、"YABBA1" * latitude：纬度（十进制度） * longitude：经度（十进制度） * width_of_break_m: wi...