Abstract Creative approaches to identifying umbrella species hold promise for devising effective surrogates of ecological communities or ecosystems. However, mechanistic niche models that predict range or habitat overlap among species may yet lack development. We reviewed literature on taxon-centered Bayesian belief network (BBN) models to explore a novel approach to identify umbrella taxa identifying taxonomic groups that share the largest proportion of habitat requirements (i.e., states of important habitat variables) with other wetland-dependent taxa. We reviewed and compiled published literature to provide a comprehensive and reproducible account of the current understanding of habitat requirements for freshwater, wetland-dependent taxa using BBNs. We found that wetland birds had the highest degree of shared habitat requirements with other taxa, and consequently may be suitable umbrella taxa in freshwater wetlands. Comparing habitat requirements using a BBN approach to build species distribution models, this review also identified taxa that may not benefit from conservation actions targeted at umbrella taxa by identifying taxa with unique habitat requirements not shared with umbrellas. Using a standard node set that accurately and comprehensively represents the ecosystem in question, BBNs could be designed to improve identification of umbrella taxa. In wetlands, expert knowledge about hydrology, geomorphology and soils could add important information regarding physical landscape characteristics relevant to species. Thus, a systems-oriented framework may improve overarching inferences from BBNs and subsequent utility to conservation planning and management.

中文翻译：

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贝叶斯信念网络模型作为湿地保护决策支持工具的回顾：水鸟是潜在的伞状分类群吗？

摘要 识别伞形物种的创造性方法有望设计出生态群落或生态系统的有效替代物。然而，预测物种间范围或栖息地重叠的机械生态位模型可能还缺乏发展。我们回顾了以分类群为中心的贝叶斯信念网络 (BBN) 模型的文献，以探索一种新的方法来识别伞类群，识别与其他依赖湿地的类群共享最大比例的栖息地要求（即重要栖息地变量的状态）的分类群。我们审查并汇编了已发表的文献，以提供对使用 BBN 的淡水、依赖湿地的分类群的栖息地要求的当前理解的全面和可重复的说明。我们发现湿地鸟类与其他类群具有最高程度的共享栖息地要求，因此可能是淡水湿地中合适的伞状类群。使用 BBN 方法比较栖息地要求以建立物种分布模型，该审查还通过识别具有独特栖息地要求的类群，而不是与伞共享的类群，确定了可能无法从针对伞类群的保护行动中受益的类群。使用准确而全面地代表所讨论的生态系统的标准节点集，可以设计 BBN 来改进伞类群的识别。在湿地中，有关水文、地貌和土壤的专业知识可以增加有关与物种相关的物理景观特征的重要信息。因此，