Pacini Lorenza, Arbelet Pierre, Chen Songchao, Bacq-Labreuil Aurélie, Calvaruso Christophe, Schneider Florian, Arrouays Dominique, Saby Nicolas P A, Cécillon Lauric, Barré Pierre
Laboratoire de Géologie, École normale supérieure, CNRS, Université PSL, IPSL, 75005 Paris, France; Greenback SA (commercial name: Genesis), 75003 Paris, France.
Greenback SA (commercial name: Genesis), 75003 Paris, France.
Sci Total Environ. 2023 Nov 20;900:165811. doi: 10.1016/j.scitotenv.2023.165811. Epub 2023 Jul 26.
Adopting land management practices that increase the stock of soil organic carbon (SOC) in croplands is widely promoted as a win-win strategy to enhance soil health and mitigate climate change. In this context, the definition of reference SOC content and stock values is needed to provide reliable targets to farmers, policymakers, and stakeholders. In this study, we used the LUCAS dataset to compare different methods for evaluating reference SOC content and stock values in European croplands topsoils (0-20 cm depth). Methods gave generally similar estimates although being built on very different assumptions. In the absence of an objective criterion to establish which approach is the most suitable to determine SOC reference values, we propose an ensemble modelling approach that consists in extracting the estimates using different relevant methods and retaining the median value among them. Interestingly, this approach led us to select values from the three different approaches with similar frequencies. Using estimated bulk density values, we obtained a first rough estimate of 3.5 Gt C of SOC storage potential in the cropland topsoils that we interpret as a long-term aspirational target that would be reachable only under extreme changes in agricultural practices. The use of additional methods in the ensemble modelling approach and more valid statistical spatial estimates may further refine our approach designed for the estimation of SOC reference values for croplands.
采用能增加农田土壤有机碳(SOC)储量的土地管理措施,作为增强土壤健康和缓解气候变化的双赢策略,得到了广泛推广。在此背景下,需要定义参考SOC含量和储量值,以便为农民、政策制定者和利益相关者提供可靠的目标。在本研究中,我们使用LUCAS数据集,比较了评估欧洲农田表土(0 - 20厘米深度)参考SOC含量和储量值的不同方法。尽管这些方法基于非常不同的假设,但得出的估计结果总体相似。由于缺乏确定哪种方法最适合确定SOC参考值的客观标准,我们提出了一种综合建模方法,该方法包括使用不同的相关方法提取估计值,并保留其中的中位数。有趣的是,这种方法使我们以相似的频率从三种不同方法中选择值。利用估计的容重值,我们初步粗略估计农田表土中SOC储存潜力为3.5 Gt C,我们将其解释为一个长期理想目标,只有在农业实践发生极端变化的情况下才能实现。在综合建模方法中使用更多方法以及更有效的统计空间估计,可能会进一步完善我们为估计农田SOC参考值而设计的方法。