Shifts in controls and abundance of particulate and mineral-associated organic matter fractions among subfield yield stability zones

IF 5.8 2区 农林科学 Q1 SOIL SCIENCE Soil Pub Date : 2024-05-02 DOI:10.5194/soil-10-307-2024
Sam J. Leuthold, Jocelyn M. Lavallee, Bruno Basso, William F. Brinton, M. Francesca Cotrufo
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Abstract

Abstract. Spatiotemporal yield heterogeneity presents a significant challenge to agricultural sustainability efforts and can strain the economic viability of farming operations. Increasing soil organic matter (SOM) has been associated with increased crop productivity, as well as the mitigation of yield variability across time and space. Observations at the regional scale have indicated decreases in yield variability with increasing SOM. However, the mechanisms by which this variability is reduced remain poorly understood, especially at the farm scale. To better understand the relationship between SOM and yield heterogeneity, we examined its distribution between particulate organic matter (POM) and mineral-associated organic matter (MAOM) at the subfield scale within nine farms located in the central United States. We expected that the highest SOM concentrations would be found in stable, high-yielding zones and that the SOM pool in these areas would have a higher proportion of POM relative to other areas in the field. In contrast to our predictions, we found that unstable yield areas had significantly higher SOM than stable yield areas and that there was no significant difference in the relative contribution of POM to total SOM across different yield stability zones. Our results further indicate that MAOM abundance was primarily explained by interactions between crop productivity and edaphic properties such as texture, which varied amongst stability zones. However, we were unable to link POM abundance to soil properties or cropping system characteristics. Instead, we posit that POM dynamics in these systems may be controlled by differences in decomposition patterns between stable and unstable yield zones. Our results show that, at the subfield scale, increasing SOM may not directly confer increased yield stability. Instead, in fields with high spatiotemporal yield heterogeneity, SOM stocks may be determined by interactive effects of topography, weather, and soil characteristics on crop productivity and SOM decomposition. These findings suggest that POM has the potential to be a useful indicator of yield stability, with higher POM stocks in unstable zones, and highlights the need to consider these factors during soil sampling campaigns, especially when attempting to quantify farm-scale soil C stocks.
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各分田产量稳定区对颗粒有机物和与矿物有关的有机物组分的控制和丰度的变化
摘要时空产量异质性是农业可持续发展工作面临的一个重大挑战,并可能对农业经营的经济可行性造成压力。土壤有机质(SOM)的增加与作物产量的提高以及跨时空产量变化的减缓有关。区域范围的观测结果表明,随着土壤有机质的增加,产量变异性也会降低。然而,人们对降低这种变异性的机制仍然知之甚少,尤其是在农场尺度上。为了更好地理解 SOM 与产量异质性之间的关系,我们研究了位于美国中部的九个农场中,颗粒有机质(POM)和矿质相关有机质(MAOM)在亚田尺度上的分布情况。我们预计,SOM 浓度最高的区域是稳定的高产区,这些区域的 SOM 池中 POM 的比例会高于田间其他区域。与我们的预测相反,我们发现产量不稳定区域的 SOM 明显高于产量稳定区域,而且不同产量稳定区域的 POM 对总 SOM 的相对贡献率没有显著差异。我们的研究结果进一步表明,MAOM 的丰度主要是由作物生产力与质地等土壤特性之间的相互作用所解释的,而这些特性在不同的稳定区之间存在差异。然而,我们无法将 POM 丰度与土壤特性或种植系统特征联系起来。相反,我们认为这些系统中的 POM 动态可能受控于稳定产量区和不稳定产量区之间分解模式的差异。我们的研究结果表明,在亚田块尺度上,SOM 的增加可能不会直接带来产量稳定性的提高。相反,在具有高度时空产量异质性的田块中,SOM 储量可能是由地形、天气和土壤特性对作物产量和 SOM 分解的交互影响决定的。这些研究结果表明,POM 有可能成为产量稳定性的一个有用指标,在不稳定区域,POM 储量较高,这也强调了在土壤采样活动中考虑这些因素的必要性,尤其是在试图量化农场规模的土壤碳储量时。
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来源期刊
Soil
Soil Agricultural and Biological Sciences-Soil Science
CiteScore
10.80
自引率
2.90%
发文量
44
审稿时长
30 weeks
期刊介绍: SOIL is an international scientific journal dedicated to the publication and discussion of high-quality research in the field of soil system sciences. SOIL is at the interface between the atmosphere, lithosphere, hydrosphere, and biosphere. SOIL publishes scientific research that contributes to understanding the soil system and its interaction with humans and the entire Earth system. The scope of the journal includes all topics that fall within the study of soil science as a discipline, with an emphasis on studies that integrate soil science with other sciences (hydrology, agronomy, socio-economics, health sciences, atmospheric sciences, etc.).
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