Rarity and Climate Sensitivity index and components of 90 species of frogs and toads native to the conterminous United States (ver. 2.0, October 2022)

This dataset contains the components of and resultant Rarity and Climate Sensitivity (RCS) values for 90 species of frogs and toads native to the conterminous United States. The RCS metric uses point occurrences to describe area of occurrence, quantifies the variation of climate conditions within that area, and combines and scales the two for a multispecies assessment of intrinsic sensitivity to climate change. The RCS metric was calculated at two geographic extents, the conterminous US and the North American continent. We also used two spatial grains: 1 km buffered occurrence points and small watersheds (Hydrologic Unit Code (HUC) 12 watershed boundaries within and HydroBASIN level 12 watershed boundaries outside the conterminous US). Point occurrences from the Global Biodiversity Information Facility (GBIF) and HerpMapper were used to calculate area of occurrence at each spatial extent and grain size. Climate specificity was calculated by extracting three climate variables (annual precipitation, annual maximum temperature, and annual minimum temperature) from the area of occurrence and calculating the area-weighted standard deviation of each climate variable for each species. Rarity, as described by area of occurrence, and climate sensitivity is scaled and combined to form the RCS index. Because we evaluated the relationships among intrinsic sensitivity, taxonomy, and conservation status, species taxonomic family, genera, International Union for the Conservation of Nature Red List status, Endangered Species Act status, and Species of Greatest Conservation Need status is included in this dataset. Each row contains the calculated RCS index and its components for two spatial grain sizes for a unique species and spatial extent combination (90 species x 2 spatial extents = 180 rows).

本数据集包含美国本土（conterminous United States）原产的90种蛙类与蟾蜍的稀有性与气候敏感性（Rarity and Climate Sensitivity, 简称RCS）指标组成要素及其计算结果值。RCS指标以物种出现点位数据描述其分布区域面积，量化该区域内的气候条件变异程度，并将两项指标结合后进行标准化处理，以开展多物种尺度的气候变化内在敏感性评估。本研究针对两个地理范围计算了RCS指标，分别为美国本土及北美大陆。同时采用两种空间粒度：1公里缓冲出现点位，以及小型流域（美国本土范围内采用水文单元代码（Hydrologic Unit Code, HUC）12级流域边界，美国本土外则采用HydroBASIN 12级流域边界）。研究使用全球生物多样性信息设施（Global Biodiversity Information Facility, GBIF）与HerpMapper提供的物种出现点位数据，计算各地理范围与空间粒度下的物种分布区域面积。气候特异性的计算方式为：从物种分布区域中提取三项气候变量（年降水量、年最高气温与年最低气温），并针对每个物种计算各气候变量的面积加权标准差。以分布区域面积表征的稀有性与气候敏感性经标准化处理后结合，即可得到RCS指数。由于本研究探讨了内在敏感性、分类学信息与保护现状之间的关联，数据集同时包含了物种的分类科、属、国际自然保护联盟（International Union for the Conservation of Nature, IUCN）红色名录等级、《濒危物种法》（Endangered Species Act, ESA）保护等级，以及最高保护需求物种（Species of Greatest Conservation Need）状态。数据集的每一行对应唯一的物种-地理范围组合，包含该组合下两种空间粒度的RCS指数及其组成要素（90个物种 × 2个地理范围 = 180行数据）。

搜集汇总

背景与挑战

背景概述

该数据集提供了美国本土90种青蛙和蟾蜍的稀有性和气候敏感性（RCS）指数及其组成部分，用于评估物种对气候变化的内在敏感性。RCS指标结合了物种发生区域和气候条件变化，计算基于两个地理范围和两个空间粒度，并包含物种分类学信息和保护状态，以支持多物种敏感性分析。