Data for Spatiotemporal variation in population dynamics of a narrow endemic, <i>Ranunculus austro-oreganus</i>

We performed demographic surveys in three populations of Ranunculus austro-oreganus over four years (2015-2018), for a total of three demographic transitions. In the main demographic dataset, we collected a suite of demographic traits (rosette size, flowering status, missing leaves, etc.). With these data, we fit a size structured population models and life table response experiments to investigate vital rates driving spatiotemporal variation in population growth. We used the seedling dataset to estimate the average number of seedlings produced per flower. Lastly, the climate dataset was used to generate figures showing the historic and contemporary climate at our three study sites.我们于2015至2018年的四年间，对三个俄勒冈南部毛茛（Ranunculus austro-oreganus）种群开展了种群人口统计调查，共计覆盖三次年度人口统计过渡。在主人口统计数据集（main demographic dataset）中，我们采集了一系列种群人口统计特征，包括莲座大小、开花状态、叶片缺失情况等。基于上述数据，我们拟合了大小结构种群模型（size structured population model）并开展了生命表反应实验（life table response experiment），以解析驱动种群增长时空变异的生命率（vital rates）。我们借助幼苗数据集（seedling dataset），估算了每朵花所产生的幼苗平均数量。最后，我们利用气候数据集（climate dataset）绘制了展示三个研究站点历史与当代气候特征的图表。