Global Mammal Assessment Program, Department of Biology and Biotechnologies, Sapienza University of Rome, Rome, 00185, Italy.
Department of Biology and Biotechnologies, Sapienza University of Rome, Rome, 00185, Italy.
Ecology. 2021 Jun;102(6):e03344. doi: 10.1002/ecy.3344. Epub 2021 May 16.
The use of species' traits in macroecological analyses has gained popularity in the last decade, becoming an important tool to understand global biodiversity patterns. Currently, trait data can be found across a wide variety of data sets included in websites, articles, and books, each one with its own taxonomic classification, set of traits, and data management methodology. Mammals, in particular, are among the most studied taxa, with large sources of trait information readily available. To facilitate the use of these data, we did an extensive review of published mammal trait data sources between 1999 and May 2020 and produced COMBINE: a COalesced Mammal dataBase of INtrinsic and Extrinsic traits. Our aim was to create a taxonomically integrated database of mammal traits that maximized trait number and coverage without compromising data quality. COMBINE contains information on 54 traits for 6,234 extant and recently extinct mammal species, including information on morphology, reproduction, diet, biogeography, life habit, phenology, behavior, home range, and density. Additionally, we calculated other relevant traits such as habitat and altitudinal breadths for all species and dispersal for terrestrial non-volant species. All data are compatible with the taxonomies of the IUCN Red List v. 2020-2 and PHYLACINE v. 1.2. Missing data were adequately flagged and imputed for non-biogeographical traits with 20% or more data available. We obtained full data sets for 21 traits such as female maturity, litter size, maximum longevity, trophic level, and dispersal, providing imputation performance statistics for all. This data set will be especially useful for those interested in including species' traits in large-scale ecological and conservation analyses. There are no copyright or proprietary restrictions; we request citation of this publication and all relevant underlying data sources (found in Data S1: trait_data_sources.csv), upon using these data.
在过去的十年中,物种特征在宏观生态学分析中的应用越来越受欢迎,成为理解全球生物多样性模式的重要工具。目前,特征数据可以在各种网站、文章和书籍中找到,每个数据集都有自己的分类学分类、特征集和数据管理方法。哺乳动物是研究最多的类群之一,有大量的特征信息来源。为了方便使用这些数据,我们对 1999 年至 2020 年 5 月期间发表的哺乳动物特征数据来源进行了广泛的回顾,并创建了 COMBINE:一个合并的哺乳动物内在和外在特征数据库。我们的目标是创建一个分类学上整合的哺乳动物特征数据库,在不影响数据质量的情况下最大限度地增加特征数量和覆盖范围。COMBINE 包含了 6234 种现存和最近灭绝的哺乳动物物种的 54 个特征信息,包括形态学、繁殖、饮食、生物地理学、生活习性、物候学、行为、活动范围和密度信息。此外,我们还计算了所有物种的栖息地和海拔宽度以及非飞行陆地物种的扩散等其他相关特征。所有数据都与 IUCN 红色名录 v. 2020-2 和 PHYLACINE v. 1.2 的分类学兼容。对于具有 20%或更多数据的非生物地理学特征,适当标记和插补了缺失数据。我们获得了 21 个特征的完整数据集,如雌性成熟度、窝仔数、最大寿命、营养级和扩散,为所有特征提供了插补性能统计。对于那些有兴趣在大规模生态和保护分析中包含物种特征的人来说,这个数据集将特别有用。没有版权或专有限制;我们要求在使用这些数据时引用本出版物和所有相关的基础数据源(见数据 S1:trait_data_sources.csv)。