Soil health status should be monitored to allow planning sustainable management, but indicators available do not encourage frequent soil health evaluation because of the complexity, time-consumption, and expensiveness of the methodologies. Aggregate stability (AS) is a good soil physical health indicator associated with soil (SOC) and particulate (POC) organic carbon but is difficult to monitor. Anaerobically mineralizable nitrogen (AN) has been proposed as soil health indicator because is cheap, simple, and safe to measure, is sensitive to soil-use changes, is also related to soil (SOC) and particulate (POC) organic carbon, and is frequently determined by farmers in Mollisols of the Southeastern Argentinean Pampas to support soil fertility diagnosis. We hypothesize that AN is positively related to and can be used as indicator of AS. Soil samples were taken at 0–5 and 5–20 cm depths from 46 sites throughout the southeastern Buenos Aires province, Argentinean Pampas. In each site, we sampled Mollisols under continuous cropping (CC) and others that had not been disturbed for many years (pseudo-pristine, PRIS). We determined texture, SOC, mineral-associated organic C, POC, AS and AN. We also calculated variable values for 0–20 cm. Soil organic carbon, POC, AN and AS were reduced by continuous cropping. Anaerobically mineralizable N was positively related to SOC (R² = 0.74, 0.46, and 0.62 at 0–5, 5–20, and 0–20 cm) and POC (R² = 0.73, 0.33, and 0.60, respectively). An important proportion of the total variability in AS was explained by SOC (R² = 0.77, 0.65, and 0.73 at 0–5, 5–20, and 0–20 cm, respectively), POC (R² = 0.75, 0.63, and 0.73, respectively), and AN (R² = 0.78, 0.69, and 0.81, respectively). The AS increased with the increase of SOC, POC, and AN at all three depths, with slopes that did not differ between CC and PRIS, but with intercepts that differed. Neither sand nor clay contents significantly contributed to explain the variations in AS as a function of SOC, POC, and AN. An independent validation of the regression model relating AS and AN at 0–20 cm was done and the output was very good (RPIQ (ratio of performance to interquartile distance) = 2.20). Results support our hypothesis because AN was positively related to AS. Consequently, AN would be a good indicator of AS, SOC, and POC. Based on our results, we consider that a simple and cheap soil analysis as AN can not only be used to diagnose soil fertility, but to monitor soil physical and biochemical health status.

应监测土壤健康状况，以制定可持续管理计划，但是由于方法的复杂性，时间消耗和成本昂贵，可用的指标不鼓励对土壤健康进行频繁的评估。集料稳定度（AS）是与土壤（SOC）和颗粒物（POC）有机碳相关的良好土壤物理健康指标，但难以监控。厌氧可矿化氮（AN）已被提议作为土壤健康指标，因为它便宜，简单且易于测量，对土壤用途变化敏感，还与土壤（SOC）和颗粒（POC）有机碳有关，并且通常由农民在阿根廷东南部南美大草原的软体动物中确定以支持土壤肥力诊断。我们假设AN与AS呈正相关，并且可以用作AS的指标。从布宜诺斯艾利斯东南部阿根廷潘帕斯州的46个地点分别以0-5和5-20 cm的深度采集土壤样品。在每个站点中，我们对连作（CC）和其他多年未受到干扰的伪毛霉菌素（PRIS）进行了采样。我们确定了质地，SOC，与矿物相关的有机碳，POC，AS和AN。我们还计算了0–20 cm的变量值。连作减少了土壤有机碳，POC，AN和AS。厌氧矿化氮与SOC正相关（R 矿物相关的有机碳，POC，AS和AN。我们还计算了0–20 cm的变量值。连作减少了土壤有机碳，POC，AN和AS的含量。厌氧矿化氮与SOC正相关（R 矿物相关的有机碳，POC，AS和AN。我们还计算了0–20 cm的变量值。连作减少了土壤有机碳，POC，AN和AS的含量。厌氧矿化氮与SOC正相关（R 在0-5、5-20和0-20厘米处² = 0.74、0.46和0.62）和POC（R ^2分别 为0.73、0.33和0.60）。SOC（ 在0-5、5-20和0-20 cm处分别为R ² = 0.77、0.65和0.73），POC（R ²  = 0.75、0.63，和0.73）和AN（R ² 分别为0.78、0.69和0.81）。在所有三个深度，AS随SOC，POC和AN的增加而增加，CC和PRIS之间的斜率没有差异，但截距不同。砂和粘土含量均无明显有助于解释AS作为SOC，POC和AN的函数的变化。对与AS和AN相关的0-20 cm回归模型进行了独立验证，并且输出非常好（RPIQ（性能与四分位数距离的比率）= 2.20）。结果支持我们的假设，因为AN与AS正相关。因此，AN可以很好地指示AS，SOC和POC。根据我们的结果，我们认为简单而廉价的土壤分析作为AN不仅可以用于诊断土壤肥力，而且可以监测土壤的物理和生化健康状况。