CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide.

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Kimberly J Komatsu, Meghan L Avolio, Josep Padullés Cubino, Franziska Schrodt, Harald Auge, Jeannine Cavender-Bares, Adam T Clark, Habacuc Flores-Moreno, Emily Grman, W Stanley Harpole, Jens Kattge, Kaitlin Kimmel, Sally E Koerner, Lotte Korell, J Adam Langley, Tamara Münkemüller, Timothy Ohlert, Renske E Onstein, Christiane Roscher, Nadejda A Soudzilovskaia, Benton N Taylor, Leho Tedersoo, Rosalie S Terry, Kevin Wilcox
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引用次数: 0

Abstract

In our changing world, understanding plant community responses to global change drivers is critical for predicting future ecosystem composition and function. Plant functional traits promise to be a key predictive tool for many ecosystems, including grasslands; however, their use requires both complete plant community and functional trait data. Yet, representation of these data in global databases is sparse, particularly beyond a handful of most used traits and common species. Here we present the CoRRE Trait Data, spanning 17 traits (9 categorical, 8 continuous) anticipated to predict species' responses to global change for 4,079 vascular plant species across 173 plant families present in 390 grassland experiments from around the world. The dataset contains complete categorical trait records for all 4,079 plant species obtained from a comprehensive literature search, as well as nearly complete coverage (99.97%) of imputed continuous trait values for a subset of 2,927 plant species. These data will shed light on mechanisms underlying population, community, and ecosystem responses to global change in grasslands worldwide.

CoRRE 性状数据:全球 4079 种草地物种的 17 种分类和连续性状数据集。
在我们不断变化的世界中,了解植物群落对全球变化驱动因素的反应对于预测未来生态系统的组成和功能至关重要。植物功能性状有望成为包括草原在内的许多生态系统的关键预测工具;然而,使用这些工具需要完整的植物群落和功能性状数据。然而,这些数据在全球数据库中的代表性并不强,尤其是在少数最常用的性状和常见物种之外。在此,我们介绍了 CoRRE 性状数据,涵盖 17 个性状(9 个分类性状、8 个连续性状),预计用于预测物种对全球变化的反应,这些性状涉及世界各地 390 个草地实验中 173 个植物科的 4079 种维管植物。该数据集包含通过全面文献检索获得的所有 4,079 个植物物种的完整分类性状记录,以及 2,927 个植物物种子集的近乎完整(99.97%)的估算连续性状值。这些数据将揭示全球草原种群、群落和生态系统对全球变化的反应机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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