A phylogeny-informed characterisation of global tetrapod traits addresses data gaps and biases.

IF 9.8 1区 生物学 Q1 Agricultural and Biological Sciences PLoS Biology Pub Date : 2024-07-11 eCollection Date: 2024-07-01 DOI:10.1371/journal.pbio.3002658
Mario R Moura, Karoline Ceron, Jhonny J M Guedes, Rosana Chen-Zhao, Yanina V Sica, Julie Hart, Wendy Dorman, Julia M Portmann, Pamela González-Del-Pliego, Ajay Ranipeta, Alessandro Catenazzi, Fernanda P Werneck, Luís Felipe Toledo, Nathan S Upham, João F R Tonini, Timothy J Colston, Robert Guralnick, Rauri C K Bowie, R Alexander Pyron, Walter Jetz
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Abstract

Tetrapods (amphibians, reptiles, birds, and mammals) are model systems for global biodiversity science, but continuing data gaps, limited data standardisation, and ongoing flux in taxonomic nomenclature constrain integrative research on this group and potentially cause biased inference. We combined and harmonised taxonomic, spatial, phylogenetic, and attribute data with phylogeny-based multiple imputation to provide a comprehensive data resource (TetrapodTraits 1.0.0) that includes values, predictions, and sources for body size, activity time, micro- and macrohabitat, ecosystem, threat status, biogeography, insularity, environmental preferences, and human influence, for all 33,281 tetrapod species covered in recent fully sampled phylogenies. We assess gaps and biases across taxa and space, finding that shared data missing in attribute values increased with taxon-level completeness and richness across clades. Prediction of missing attribute values using multiple imputation revealed substantial changes in estimated macroecological patterns. These results highlight biases incurred by nonrandom missingness and strategies to best address them. While there is an obvious need for further data collection and updates, our phylogeny-informed database of tetrapod traits can support a more comprehensive representation of tetrapod species and their attributes in ecology, evolution, and conservation research.

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对全球四足动物特征的系统发育信息描述解决了数据缺口和偏差问题。
四足动物(两栖类、爬行类、鸟类和哺乳类)是全球生物多样性科学的模型系统,但持续的数据缺口、有限的数据标准化以及分类命名法的不断变化限制了对这一群体的综合研究,并可能导致推论出现偏差。我们将分类学、空间、系统发育和属性数据与基于系统发育的多重估算结合起来并加以协调,从而提供了一个全面的数据资源(TetrapodTraits 1.0.0),其中包括体型、活动时间、微观和宏观栖息地、生态系统、威胁状况、生物地理学、孤岛性、环境偏好和人类影响等方面的数值、预测和来源,适用于最近完全采样系统发育所涵盖的所有 33281 个四足动物物种。我们评估了跨类群和跨空间的差距和偏差,发现属性值缺失的共享数据随着类群级别的完整性和各支系的丰富性而增加。使用多重估算对缺失的属性值进行预测,发现估计的宏观生态模式发生了重大变化。这些结果突显了非随机缺失造成的偏差以及解决这些偏差的最佳策略。虽然显然需要进一步的数据收集和更新,但我们的系统发育信息四足动物特征数据库可以支持在生态学、进化和保护研究中更全面地反映四足动物物种及其属性。
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来源期刊
PLoS Biology
PLoS Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOLOGY
CiteScore
15.40
自引率
2.00%
发文量
359
审稿时长
3-8 weeks
期刊介绍: PLOS Biology is the flagship journal of the Public Library of Science (PLOS) and focuses on publishing groundbreaking and relevant research in all areas of biological science. The journal features works at various scales, ranging from molecules to ecosystems, and also encourages interdisciplinary studies. PLOS Biology publishes articles that demonstrate exceptional significance, originality, and relevance, with a high standard of scientific rigor in methodology, reporting, and conclusions. The journal aims to advance science and serve the research community by transforming research communication to align with the research process. It offers evolving article types and policies that empower authors to share the complete story behind their scientific findings with a diverse global audience of researchers, educators, policymakers, patient advocacy groups, and the general public. PLOS Biology, along with other PLOS journals, is widely indexed by major services such as Crossref, Dimensions, DOAJ, Google Scholar, PubMed, PubMed Central, Scopus, and Web of Science. Additionally, PLOS Biology is indexed by various other services including AGRICOLA, Biological Abstracts, BIOSYS Previews, CABI CAB Abstracts, CABI Global Health, CAPES, CAS, CNKI, Embase, Journal Guide, MEDLINE, and Zoological Record, ensuring that the research content is easily accessible and discoverable by a wide range of audiences.
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