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全球研究联盟无房间方法学指南:统计考虑因素、排放因子计算和数据报告。

Global Research Alliance N O chamber methodology guidelines: Statistical considerations, emission factor calculation, and data reporting.

机构信息

AgResearch, Invermay Agricultural Centre, Mosgiel, 9053, New Zealand.

INIA, Fidel Oteíza 1956, piso 12, Providencia, Santiago, Chile.

出版信息

J Environ Qual. 2020 Sep;49(5):1156-1167. doi: 10.1002/jeq2.20127. Epub 2020 Aug 26.

DOI:10.1002/jeq2.20127
PMID:33016448
Abstract

Static chambers are often used for measuring nitrous oxide (N O) fluxes from soils, but statistical analysis of chamber data is challenged by the inherently heterogeneous nature of N O fluxes. Because N O chamber measurements are commonly used to assess N 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 N 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 N 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 N 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.

摘要

静态箱常用于测量土壤中的氧化亚氮(N2O)通量,但由于 N2O 通量具有固有异质性,因此对箱内数据进行统计分析具有挑战性。由于 N2O 箱测量通常用于评估 N2O 减排策略或确定用于计算国家温室气体清单的国家特定排放因子(EFs),因此数据的统计分析合理且 EFs 稳健估计非常重要。本文是一系列提供 N2O 箱方法不同方面指导的文章之一。在这里,我们通过总结最近出版物中使用的统计方法,讨论了异质数据统计分析所面临的挑战,并提供了有关评估正态性和处理不符合正态分布的数据的方法的指导。我们还建议报告 N2O 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、数据和统计分析以及生成 EFs 的方法以及辅助测量结果的详细信息。通过(a)研究人员应用和报告更严格的方法标准,以及(b)审稿人和科学编辑更加警惕,以确保在科学出版物中报告所有必要信息,可以提高土壤 N2O 排放数据的可靠性、稳健性和可比性。

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Global Research Alliance N O chamber methodology guidelines: Statistical considerations, emission factor calculation, and data reporting.全球研究联盟无房间方法学指南:统计考虑因素、排放因子计算和数据报告。
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