Abstract Rarity and life history traits inform multiple dimensions of intrinsic risk to climate and environmental change and can help systematically identify at-risk species. We quantified relative geographic rarity (area of occupancy), climate niche breadth, and life history traits for 114 freshwater fishes, amphibians, and reptiles in the U.S. Pacific Northwest. Our approach leveraged presence-only, publicly available data and traits-based inference to evaluate area of occupancy, climate sensitivity (i.e., climate niche breadth), and a Rarity and Climate Sensitivity (RCS) index of all species across multiple geographic extents, grain sizes, and data types. The RCS index was relatively stable across extents, grains, and data types, with climate sensitivity differentiating species with otherwise similar areas of occupancy. We also found that species with sensitivity-associated traits (e.g., long generation time, low fecundity) were not necessarily the same species identified as at-risk with geographical approaches (small range size, small climate niche breadth). Many multispecies assessments using coarse-scale data (e.g., entire range maps or convex-hull approaches) often focus on a single dimension of intrinsic risk; others rely on data-intensive models only applicable to a few well-studied species. What remains is a need for an approach that enables multispecies, multidimensional assessment efforts. This is particularly true at regional scales, where management needs require assessments that are intermediate to coarse- and fine-scale approaches. We demonstrate that by considering multiple dimensions of intrinsic risk to climate change (range size, climate sensitivity, and traits), site-specific locality data may offer a pathway for ensuring vulnerable, understudied species do not go overlooked in conservation.

中文翻译：

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美国太平洋西北部气候敏感脊椎动物风险的功能和地理组成部分

摘要 稀有性和生活史特征告知气候和环境变化的内在风险的多个维度，并有助于系统地识别处于危险中的物种。我们量化了美国太平洋西北部 114 种淡水鱼类、两栖动物和爬行动物的相对地理稀有性（居住面积）、气候生态位宽度和生活史特征。我们的方法利用仅存在的、公开可用的数据和基于特征的推断来评估占用面积、气候敏感性（即气候生态位宽度）以及跨多个地理范围、谷物的所有物种的稀有性和气候敏感性 (RCS) 指数大小和数据类型。RCS 指数在范围、谷物和数据类型方面相对稳定，气候敏感性区分了具有相似占用面积的物种。我们还发现具有敏感性相关性状（例如，世代时间长、繁殖力低）的物种不一定与地理方法（小范围大小、小气候生态位宽度）被确定为处于危险中的物种相同。许多使用粗尺度数据（例如，整个范围图或凸包方法）的多物种评估通常侧重于内在风险的单一维度；其他人依赖于仅适用于少数经过充分研究的物种的数据密集型模型。剩下的就是需要一种能够实现多物种、多维度评估工作的方法。在区域范围内尤其如此，因为管理需求需要采用中、粗和细尺度方法进行评估。我们证明，通过考虑气候变化的内在风险的多个维度（范围大小、