Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Department of Plant and Microbial Biology, University of Minnesota, St Paul, MN, 55108, USA.
New Phytol. 2017 Jul;215(1):15-26. doi: 10.1111/nph.14486. Epub 2017 Feb 28.
Variation and tradeoffs within and among plant traits are increasingly being harnessed by empiricists and modelers to understand and predict ecosystem processes under changing environmental conditions. While fine roots play an important role in ecosystem functioning, fine-root traits are underrepresented in global trait databases. This has hindered efforts to analyze fine-root trait variation and link it with plant function and environmental conditions at a global scale. This Viewpoint addresses the need for a centralized fine-root trait database, and introduces the Fine-Root Ecology Database (FRED, http://roots.ornl.gov) which so far includes > 70 000 observations encompassing a broad range of root traits and also includes associated environmental data. FRED represents a critical step toward improving our understanding of below-ground plant ecology. For example, FRED facilitates the quantification of variation in fine-root traits across root orders, species, biomes, and environmental gradients while also providing a platform for assessments of covariation among root, leaf, and wood traits, the role of fine roots in ecosystem functioning, and the representation of fine roots in terrestrial biosphere models. Continued input of observations into FRED to fill gaps in trait coverage will improve our understanding of changes in fine-root traits across space and time.
植物性状在种内和种间的变化和权衡,越来越多地被经验主义者和模型构建者所利用,以理解和预测在不断变化的环境条件下的生态系统过程。虽然细根在生态系统功能中起着重要作用,但在全球性状数据库中,细根性状的代表性不足。这阻碍了对细根性状变化进行分析,并将其与全球范围内的植物功能和环境条件联系起来的努力。本观点探讨了建立集中的细根性状数据库的必要性,并介绍了细根生态学数据库(FRED,http://roots.ornl.gov),该数据库目前包含超过 70,000 个观测值,涵盖了广泛的根性状,还包括相关的环境数据。FRED 是朝着提高我们对地下植物生态学理解的重要一步。例如,FRED 有助于量化不同根序、物种、生物群区和环境梯度中细根性状的变异性,同时还为评估根、叶和木材性状之间的协变、细根在生态系统功能中的作用以及细根在陆地生物圈模型中的表现提供了一个平台。继续向 FRED 输入观测值以填补性状覆盖范围的空白,将提高我们对细根性状在空间和时间上变化的理解。