TropiRoot 1.0: Database of tropical root characteristics across environments

作者：Amanda L. Cordeiro, Daniela Cusack, Nathaly R. 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 M. Soper, Om Prakash Ghimire, Laynara F. Lugli, Ana Caroline Miron, Oscar J. 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 P. Easton, Isabella Felsing, Nathan 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, Michael McCormack · 发表于：Ecology · 年份：2025 · DOI：10.1002/ecy.70074 · 被引用次数：2 · 研究领域：Plant nutrient uptake and metabolism、Banana Cultivation and Research、Soil Carbon and Nitrogen Dynamics

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 comprehensiv...