Colony-level coral demographic data from Japan & Australia (2016-2019)

The persistent exposure of coral communities to more variable abiotic regimes is assumed to augment their resilience to future climatic variability. Yet, while the determinants of coral population resilience across species remain unknown, we are unable to predict the winners and losers across reef ecosystems exposed to increasingly variable conditions. Using annual surveys of 3171 coral individuals across Australia and Japan (2016-2019), we explored spatial variation across the short- and long-term dynamics of competitive, stress-tolerant, and weedy assemblages to evaluate how thermal variability mediates the structural composition of coral communities. Here this dataset contains the raw colony-level data collected during these annual surveys, detailing the size, survival, and recruitment of coral colonies within a series of permenant plots arranged throughout the reef communities of Okinawa, Kochi (both Japan), the Solitary Islands Marine Park, and Heron Island (both Australia). This d..., For methodological details please see Cant et al. (2023) Coral assemblages at higher latitudes favour short-term potential over long-term performance. Ecology., The raw data is provided as a csv file arranged in a stacked format with each row detailing the demographic transitions recorded for an individual colony across a single annual interval (i.e., 2016 to 2017). The first 11 columns of the dataset outline each colonies associated metadata such as location (Country, ecoregion etc.), colony identity (e.g. Plot number), taxonomy (to species level where possible), and life history classification (LHS). The remaining columns then describe each colonies recorded demographic transitions as follows: time.t = 'Starting year of corresponding annual interval' Fragment.t = 'was the colony a product of fragmentation during the previous year' (Yes/No/NA) Bleaching.t = 'Bleaching state at time t' (None/Slight/Moderate/Severe/NA) Size.t = 'Colony size recorded at time t' (is NA if colony recruited between time t and t+1) time.t1 = 'Ending year of corresponding annual interval' No.frag.t1 = 'Number of fragments produced by colony between time t and time t+1...珊瑚群体持续暴露于变异性更强的非生物环境中，被认为可提升其对未来气候变化的抗逆恢复力。然而，尽管跨物种珊瑚种群恢复力的决定因素仍未明确，我们仍无法预测暴露于日益多变环境的珊瑚礁生态系统中的赢家与输家。本研究依托2016至2019年对澳大利亚与日本境内3171个珊瑚群体开展的年度监测，探究了竞争型、耐胁迫型与杂草型珊瑚群落的短期及长期动态空间变异，以评估热变异性如何调控珊瑚群落的结构组成。本数据集包含上述年度监测中采集的原始群体级数据，详细记录了冲绳、高知（均属日本）以及索罗群岛海洋公园、赫伦岛（均属澳大利亚）的珊瑚礁群落内一系列永久样地中珊瑚群体的尺寸、存活状况与种群补充情况。方法学细节请参见Cant等人（2023）发表于《Ecology》的论文《高纬度珊瑚群落更倾向短期潜能而非长期表现》。原始数据以堆叠格式存储于逗号分隔值（CSV）文件中，每一行对应单个珊瑚群体在单个年度间隔（如2016至2017年）内记录的种群动态转换。数据集的前11列为各珊瑚群体的关联元数据，涵盖采样地点（国家、生态区等）、群体标识（如样地编号）、分类学信息（尽可能鉴定至物种水平）以及生活史分类（LHS）。剩余列则依次描述各珊瑚群体记录的种群动态转换，具体如下： time.t：对应年度间隔的起始年份 Fragment.t：该珊瑚群体是否为前一年碎片化作用的产物（是/否/NA） Bleaching.t：t时刻的白化状态（无/轻微/中度/重度/NA） Size.t：t时刻记录的珊瑚群体尺寸（若该群体在t至t+1时段内发生种群补充，则该值为NA） time.t1：对应年度间隔的结束年份 No.frag.t1：t至t+1时段内该珊瑚群体产生的碎片数量……