Static chambers are often used for measuring nitrous oxide (N2 O) fluxes from soils, but statistical analysis of chamber data is challenged by the inherently heterogeneous nature of N2 O fluxes. Because N2 O chamber measurements are commonly used to assess N2 O mitigation strategies or to determine country-specific emission factors (EFs) for calculating national greenhouse gas inventories, it is important that statistical analysis of the data is sound and that EFs are robustly estimated. This paper is one of a series of articles that provide guidance on different aspects of N2 O chamber methodologies. Here, we discuss the challenges associated with statistical analysis of heterogeneous data, by summarizing statistical approaches used in recent publications and providing guidance on assessing normality and options for transforming data that follow a non-normal distribution. We also recommend minimum requirements for reporting of experimental and metadata of N2 O studies to ensure that the robustness of the results can be reliably evaluated. This includes detailed information on the experimental site, methodology and measurement procedures, gas analysis, data and statistical analyses, and approaches to generate EFs, as well as results of ancillary measurements. The reliability, robustness, and comparability of soil N2 O emissions data will be improved through (a) application, and reporting, of more rigorous methodological standards by researchers and (b) greater vigilance by reviewers and scientific editors to ensure that all necessary information is reported in scientific publications.

中文翻译：

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全球研究联盟 N 2 O 室方法指南：统计考虑、排放因子计算和数据报告

静态室通常用于测量来自土壤的一氧化二氮 (N2 O) 通量，但室内数据的统计分析受到 N2 O 通量固有的异质性的挑战。由于 N2 O 室测量通常用于评估 N2 O 缓解策略或确定国家特定排放因子 (EF) 以计算国家温室气体清单，因此对数据进行可靠的统计分析并且对 EF 进行可靠估计非常重要。本文是对 N2 O 室方法的不同方面提供指导的一系列文章之一。在这里，我们讨论与异构数据的统计分析相关的挑战，通过总结最近出版物中使用的统计方法，并提供有关评估正态性和转换遵循非正态分布的数据的选项的指导。我们还建议报告 N2 O 研究的实验和元数据的最低要求，以确保可以可靠地评估结果的稳健性。这包括有关实验地点、方法和测量程序、气体分析、数据和统计分析、生成 EF 的方法以及辅助测量结果的详细信息。土壤 N2 O 排放数据的可靠性、稳健性和可比性将通过 (a) 应用和报告，