Recent technological and methodological advances have revolutionized wildlife monitoring. Although most biodiversity monitoring initiatives are geared towards focal species of conservation concern, researchers are increasingly studying entire communities, specifically the spatiotemporal drivers of community size and structure and interactions among species. This has resulted in the emergence of multi‐species occupancy models (MSOMs) as a promising and efficient approach for the study of community ecology. Given the potential of MSOMs for conservation and management action, it is critical to know whether study design and model assumptions are consistent with inference objectives. This is especially true for studies that are designed for a focal species but can give insights about a community. Here, we review the recent literature on MSOMs, identify areas of improvement in the multi‐species study workflow, and provide a reference model for best practices for focal species and community monitoring study design. We reviewed 92 studies published between 2009 and early 2018, spanning 27 countries and a variety of taxa. There is a consistent under‐reporting of details that are central to determining the adequacy of designs for generating data that can be used to make inferences about community‐level patterns of occupancy, including the spatial and temporal extent, types of detectors used, covariates considered, and choice of field methods and statistical tools. This reporting bias could consequently result in skewed estimates, affecting conservation actions and management plans. On the other hand, comprehensive reporting is likely to help researchers working on MSOMs assess the robustness of inferences, in addition to making strides in terms of reproducibility and reusability of data. We use our literature review to inform a roadmap with best practices for MSOM studies, from simulations to design considerations and reporting, for the collection of new data as well as those involving existing datasets.

中文翻译：

---

多物种占用模型：评论，路线图和建议

最近的技术和方法学进步彻底改变了野生生物监测。尽管大多数生物多样性监测计划都是针对关注保护的重点物种，但研究人员正在越来越多地研究整个社区，特别是社区规模和结构以及物种间相互作用的时空驱动因素。这导致了多物种占用模型（MSOM）的出现，作为一种研究社区生态学的有前途和有效的方法。鉴于MSOM在保护和管理行动方面的潜力，了解研究设计和模型假设是否与推断目标一致至关重要。对于专门针对重点物种但可以提供有关社区见解的研究而言，尤其如此。在这里，我们回顾了有关MSOM的最新文献，确定多物种研究工作流程中的改进领域，并为重点物种和社区监测研究设计的最佳实践提供参考模型。我们回顾了2009年至2018年初之间发布的92项研究，涉及27个国家和不同的分类单元。对细节的一致报告不足对于确定生成数据的设计是否足够至关重要，这些数据可用于推断社区级别的居住模式，包括时空范围，使用的探测器类型，所考虑的协变量，以及现场方法和统计工具的选择。因此，这种报告偏差可能导致估计值偏斜，从而影响保护行动和管理计划。另一方面，全面的报告不仅可以在数据的可重复性和可重用性方面取得进展，还可以帮助从事MSOM的研究人员评估推理的可靠性。我们使用文献综述来为路线图提供MSOM研究最佳实践的路线图，从模拟到设计考虑和报告，以收集新数据以及涉及现有数据集的最佳实践。