Testing the hypothesis of the presence of a trend in the airborne fraction (AF), defined as the fraction of CO2 emissions remaining in the atmosphere, has attracted much attention, with the overall consensus that no statistical evidence is found for a trend in the data (Knorr, 2009; Gloor et al., 2010; Raupach et al., 2014; Bennedsen et al., 2019). In a paper recently published in this journal, van Marle et al. (van Marle et al., 2022) introduce a new data set for land use and land cover change CO2 emissions (LULCC), and from a Monte Carlo simulation analysis of these data, the authors conclude that there is a negative trend in the AF. We argue that the Monte Carlo design of van Marle et al. is not conducive to determine whether there is a trend in the AF and therefore presents no compelling statistical evidence. A re-examination of the data using a variety of statistical tests finds no evidence of a trend on the whole sample and some evidence of a positive trend when a break in the level of the AF is accounted for.
翻译:空降部分(AF)被定义为大气中二氧化碳排放量的一小部分,因此,测试空气中存在趋势的假设(AF)引起了人们的极大关注,总体共识是,没有找到数据趋势的统计证据(Knorr,2009年;Gloor等人,2010年;Raupach等人,2014年;Bennedsen等人,2019年),在本期刊最近发表的一篇论文中,van Marle等人(van Marle等人,2022年)介绍了土地利用和土地覆盖变化CO2排放量的新数据集(LULCC),从蒙特卡洛对这些数据的模拟分析中,作者得出结论认为,AF中存在消极趋势。我们说,van Marle等人的Monte Carlo设计不利于确定AF是否有趋势,因此没有提供令人信服的统计证据。利用各种统计测试对数据进行重新审查后发现,没有证据表明整个抽样和土地覆盖变化CO2排放量出现趋势,也有一些证据表明,如果计算出AFAF水平出现断裂时出现了积极趋势。</s>