A multi-region community model for inference about geographic variation in species richness

Data used in the application of the multi-region community model (MRCM) to detection non-detection data collected from bird assemblages in R=8 geographically distinct areas (regions) in northern Italy. We augmented the data for all regions such that M = M_r = 200, i.e., by 200-n_r species for each region. The data file contains the following six objects: dataREG: region-specific covariates; K_tot: number of sampling occasions for each site in each region; M: total number of species in the augmented data set; nsites: total number of sites per region; nspecies: total number of observed species for each region; Yaug_tot: augmented species-by-sites-by-region detection frequency matrix.

本数据集用于多区域群落模型（multi-region community model, MRCM）对意大利北部8个地理独立区域（记为R=8）内采集的鸟类群落检测与未检测数据的应用研究。我们对所有区域的数据进行扩充，使得各区域的物种总数满足M = M_r = 200，即对每个区域补充200 - n_r个物种。本数据文件包含以下6个对象：dataREG：区域专属协变量；K_tot：各区域内每个样点的采样次数；M：扩充后数据集的总物种数；nsites：各区域的总样点数；nspecies：各区域的观测物种总数；Yaug_tot：扩充后的物种-样点-区域检测频率矩阵。