Department of Ecology and Evolutionary Biology and Kansas Biological Survey, University of Kansas, Lawrence, Kansas, 66047, USA.
Department of Crop and Soil Sciences, Oregon State University, Corvallis, Oregon, 97331, USA.
Ecol Appl. 2021 Apr;31(3):e02290. doi: 10.1002/eap.2290. Epub 2021 Feb 25.
Soil organic carbon (SOC) regulates terrestrial ecosystem functioning, provides diverse energy sources for soil microorganisms, governs soil structure, and regulates the availability of organically bound nutrients. Investigators in increasingly diverse disciplines recognize how quantifying SOC attributes can provide insight about ecological states and processes. Today, multiple research networks collect and provide SOC data, and robust, new technologies are available for managing, sharing, and analyzing large data sets. We advocate that the scientific community capitalize on these developments to augment SOC data sets via standardized protocols. We describe why such efforts are important and the breadth of disciplines for which it will be helpful, and outline a tiered approach for standardized sampling of SOC and ancillary variables that ranges from simple to more complex. We target scientists ranging from those with little to no background in soil science to those with more soil-related expertise, and offer examples of the ways in which the resulting data can be organized, shared, and discoverable.
土壤有机碳(SOC)调节陆地生态系统功能,为土壤微生物提供多种能源,控制土壤结构,并调节有机结合养分的有效性。越来越多不同学科的研究人员认识到,量化 SOC 属性如何能提供关于生态状态和过程的深入了解。如今,多个研究网络收集和提供 SOC 数据,并且有强大的新技术可用于管理、共享和分析大数据集。我们主张科学界利用这些发展,通过标准化协议来扩充 SOC 数据集。我们描述了为什么这些努力很重要,以及它将对哪些学科有帮助,并概述了一个从简单到更复杂的 SOC 及辅助变量标准化采样的分层方法。我们的目标对象是从几乎没有土壤科学背景到更具土壤相关专业知识的科学家,提供了关于如何组织、共享和发现由此产生的数据的示例。