TropiRoot 1.0:跨环境的热带根系特征数据库

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2025-05-19 DOI:10.1002/ecy.70074
Amanda L. Cordeiro, Daniela F. Cusack, Nathaly Guerrero-Ramírez, Richard J. Norby, Laura Toro, Michelle Y. Wong, S. Joseph Wright, Kristine Grace M. Cabugao, Kelly M. Andersen, Lucia Fuchslueger, Colleen M. Iversen, Fiona Soper, Om Prakash Ghimire, Laynara F. Lugli, Ana Caroline Miron, Oscar Valverde-Barrantes, Marie Arnaud, Sarah A. Batterman, Lee H. Dietterich, Ming Yang Lee, Monique Weemstra, Daniela Yaffar, Shalom D. Addo-Danso, Kerstin Pierick, Ryan Bridges, Carina Easton, Isabella Felsing, Nathan B. Gonçalves, Riley Krudop, Mason R. McKinzie, Julia Perbohner, Alejandra N. Pozzoli-Oropeza, Mirna Samaniego, Alex W. Smilor, Ilana S. Vargas, Layna Webb, Jennifer S. Powers, M. Luke McCormack
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引用次数: 0

摘要

热带生态系统拥有世界上最大的维管植物多样性。然而,我们对热带功能多样性及其对全球多样性格局的贡献的理解受到数据可用性的限制。这一差异凸显了迫切需要通过将全面的热带树根数据纳入全球数据集来弥合数据差距。在这里,我们提供了一个热带根系特征数据库。这个新的数据库,TropiRoot 1.0,将有助于评估一系列关于根功能生态学和植物生物地理学的假设,无论是在热带地区还是相对于其他全球生物群落。数据汇编由TropiRoot倡议组织与细根生态数据库(FRED)和全球根性状数据库(GRooT)、科罗拉多州立大学(CSU)和史密森尼热带研究所(STRI)合作完成。在2020 - 2024年间进行文献检索和数据提取。文献使用Web of Science, Scopus进行鉴定,并使用TropiRoot成员的专业知识进行补充。为了提供广泛的环境和地理分布,文献检索包括全球变化驱动因素、自然梯度和不同大陆的根系特征(性状)。我们采用了FRED标准化的数据列,并简化了格式,以增强跨不同用户组提取数据的可访问性。这个优化的框架产生了一个更小但更全面的数据表。为了使数据库与其他全局根性状计划兼容,列标识按照FRED提供的代码进行了标准化。这些努力最终从104个新来源提取了数据,产生了8000多行数据(物种或群落数据)。TropiRoot 1.0中的大部分数据包括根系特征,如根系生物量、形态、根系动力学、质量分数、结构、解剖、生理和根系化学。这一举措使FRED中热带根的现有数据增加了30%。TropiRoot 1.0包含来自25个不同国家的根特征,其中7个位于亚洲,6个位于南美洲,5个位于中美洲和加勒比地区,4个位于非洲,2个位于北美,1个位于大洋洲。由于数据量大,当辅助数据(包括土壤数据)可用时,这些数据要么被提取并包含在数据库中,要么被记录在另一列中。多个贡献者在整理过程中检查异常值条目,以确保数据质量。对于基于文本的观察,我们检查了所有单元格,以确保其内容与其特定类别相关。对于数值观测,我们将每个数值从最小到最大排序并绘制值,根据各自来源的数据检查明显的异常值,并纠正或删除不正确或不可能的值。一些数据(土壤和地上)在不同的单位(包括最初公布的单位)中对相同的变量有不同的列,但根系特征数据的单位经过转换以匹配FRED中报告的单位。通过填补全球数据库的空白,TropiRoot 1.0扩展了我们迄今为止未被充分代表的地区的知识,以及我们评估全球趋势的能力。这一进展可用于改善热带森林在植被模型中的表现。这些数据是免费提供的,使用时应注明出处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TropiRoot 1.0: Database of tropical root characteristics across environments

Tropical ecosystems contain the world's largest biodiversity of vascular plants. Yet, our understanding of tropical functional diversity and its contribution to global diversity patterns is constrained by data availability. This discrepancy underscores an urgent need to bridge data gaps by incorporating comprehensive tropical root data into global datasets. Here, we provide a database of tropical root characteristics. This new database, TropiRoot 1.0, will be instrumental in evaluating an array of hypotheses pertaining to root functional ecology and plant biogeography, both within the tropics and relative to other global biomes. The data compilation was conducted by the TropiRoot Initiative, in partnership with the Fine-Root Ecology Database (FRED) and the Global Root Trait (GRooT) database, Colorado State University (CSU) and the Smithsonian Tropical Research Institute (STRI). Literature search and data extraction were conducted between 2020 and 2024. Literature was identified using Web of Science, Scopus, and complemented using the expert knowledge of members of TropiRoot. To provide broad environmental and geographical distributions, literature searches included root characteristics (traits) across global change drivers, natural gradients, and from different continents. We adopted FRED standardized data columns and streamlined the format to enhance accessibility for data extraction across various user groups. This optimized framework resulted in a smaller, yet comprehensive datasheet. To make the database compatible with other global root trait initiatives, column identification was standardized following the codes provided by FRED. These efforts culminated in data extracted from 104 new sources, resulting in more than 8000 rows of data (either species or community data). Most of the data in TropiRoot 1.0 include root characteristics such as root biomass, morphology, root dynamics, mass fraction, architecture, anatomy, physiology, and root chemistry. This initiative represents a 30% increase in the currently available data for tropical roots in FRED. TropiRoot 1.0 contains root characteristics from 25 different countries, where seven are located in Asia, six in South America, five in Central America and the Caribbean, four in Africa, two in North America, and 1 in Oceania. Due to the volume of data, when ancillary data were available, including soil data, these data were either extracted and included in the database or its availability was recorded in an additional column. Multiple contributors checked the entries for outliers during the collation process to ensure data quality. For text-based observations, we examined all cells to ensure that their content relates to their specific categories. For numerical observations, we ordered each numerical value from least to greatest and plotted the values, checking apparent outliers against the data in their respective sources and correcting or removing incorrect or impossible values. Some data (soil and aboveground) have different columns for the same variable presented in different units, including originally published units, but root characteristics data had units converted to match those reported in FRED. By filling a gap from global databases, TropiRoot 1.0 expands our knowledge of otherwise so far underrepresented regions and our ability to assess global trends. This advancement can be used to improve tropical forest representation in vegetation models. The data are freely available and should be cited when used.

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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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