Sharing detection heterogeneity information among species in community models of occupancy and abundance can strengthen inference

1. The estimation of abundance and distribution and factors governing patterns in these parameters is central to the field of ecology. The continued development of hierarchical models that best utilize available information to inform these processes is a key goal of quantitative ecologists. However, much remains to be learned about simultaneously modeling true abundance, presence, and trajectories of ecological communities. 2. Simultaneous modeling of the population dynamics of multiple species provides an interesting mechanism to examine patterns in community processes and, as we emphasize herein, to improve species-specific estimates by leveraging detection information among species. Here we demonstrate a simple but effective approach to share information about observation parameters among species in hierarchical community abundance and occupancy models, where we use shared random effects among species to account for spatiotemporal heterogeneity in detection probability. 3. We d...1. 种群丰度与分布的估算，以及调控上述参数格局的影响因子，是生态学领域的核心研究内容。旨在最大化利用现有信息以阐明相关研究过程的分层模型（hierarchical models）的持续优化与发展，是数量生态学家的核心研究目标之一。然而，针对生态群落的真实丰度、存在状态及其动态轨迹开展联合建模的相关研究仍有诸多待完善之处。 2. 对多物种种群动态开展联合建模，可为解析群落过程格局提供颇具价值的研究途径，正如本文所强调的，还可通过跨物种的检测信息共享来提升单物种种群参数的估算精度。本文提出了一种简洁且高效的方法，可在分层群落丰度与占用模型（hierarchical community abundance and occupancy models）中实现物种间观测参数的信息共享：通过设置物种间共享的随机效应，以解析检测概率的时空异质性。 3. 我们将……