期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2022
卷号：119
期号：28
DOI：10.1073/pnas.2204140119
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：Chen et al. (
1) provide valuable feedback on our paper (
2), suggesting that our work overestimated soil organic carbon (SOC) benefits of certain systems because we lacked data below 30-cm soil depth. In our paper, we acknowledged the uncertainties associated with deep soil C stocks, making no claim that our observations applied to deeper soils. On the second page of our paper we stated “although trends at deeper depths might differ from the surface layers.” While we investigated the mechanisms associated with SOC changes in the surface 30 cm, future studies should explore the potential for SOC change under alternative management in deeper soil layers.
Chen et al. (
1) argue that cropping systems only significantly affected SOC and mineral-associated organic matter (MAOM)-C stocks at 0- to 15-cm but not at 15- to 30-cm depth. Our results showed that when these two depth increments were considered separately with ANOVA, the main treatment effects of cropping systems on SOC and MAOM-C stocks were significant (
P < 0.001 and
P = 0.013 for SOC and MAOM-C, respectively), while the interaction between cropping systems and depth (system × depth) were not (
P = 0.80 and
P = 0.26 for SOC and MAOM-C, respectively). Therefore, our main treatment effects represented the overall effects of cropping systems on SOC and MAOM-C stocks across these two depths. Similar trends were found when SOC and MAOM-C concentrations were analyzed with ANOVA, suggesting that cropping systems had significant effects across two depths, but with no system × depth interaction (table S2 of ref.
2). We acknowledged that results may vary with deeper soils.
Chen et al. (
1) argue that “SOC stock is positively correlated with the content of amino sugars solely in the topsoil, but it is negatively correlated with
N-acetyl-β-
d-glucosaminidase and polyphenol oxidase activities in the subsoil.” Table S5 of ref.
2 showed the correlations between MAOM-C concentrations, not SOC stock, with soil microbial attributes. We believe using SOC or MAOM-C stock can help with soil C accounting purposes, but to unravel mechanistic relationships with soil microbial attributes it would be better to use SOC or MAOM-C concentrations. In addition, rather than exploring simple correlations among the soil variables, we conducted piecewise structural equation modeling to examine the direct and indirect relationships between soil C (particulate organic matter C and MAOM-C) and soil microbial traits. We believe this approach provided a mechanistic framework that incorporated microbial attributes into the understanding of management effects on soil C stocks and persistence.
Chen et al. (
1) suggest that uncertainties in the initial SOC among treatments undermine our analyses. We clearly described this experiment as a randomized complete block design with initial SOC levels and 20-y SOC analysis reported by Sanford et al. (
3). This was also acknowledged in a PNAS commentary published by Amundson (
4): “The Pandora’s Box of Soil Carbon.” All background information is publicly available.
