Land degradation due to anthropic factors is the reduction of its actual or potential productivity. Nowadays, this topic is a major concern, as it affects more than one third of the soil in the world. This work presents an empirical assessment of the anthropic disturbance level (ADL) for agricultural and livestock production systems. This assessment is obtained by mapping the characteristics of land use and management practices by using five specific indicators and integrating them into a global indicator (ADL score). Earthworm populations (good indicators of soil quality) in soils under different production systems are studied to determine if the population changes are attributable to the intensity of land use and management practices. A correlation model between ADL, edaphic properties, and earthworm population characteristics is developed by using samples of 20 sites in Santa Fe province, Argentina. The inclusion of ADL allowed finding a consistent correlation structure. The results also showed that earthworm density, species diversity, and activity change at the different sites were highly sensitive to anthropic disturbance. Based on this data-driven model, the ADL can be estimated by measuring edaphic and biological data on a soil sample to monitor soil conditions for different production systems. Thus, ADL monitoring would allow deciding how to continue using and managing the land to improve its sustainability.

由于人为因素造成的土地退化是其实际或潜在生产力的下降。如今，这个话题已成为一个主要问题，因为它影响了世界三分之一以上的土壤。这项工作提出了对农业和畜牧生产系统的人为干扰水平（ADL）的经验评估。通过使用五个特定指标绘制土地使用和管理实践的特征并将其整合到全球指标（ADL评分）中，来获得此评估。研究了不同生产系统下土壤中的population种群（土壤质量的良好指标），以确定种群变化是否归因于土地利用和管理实践的强度。ADL，edaphic属性，通过使用阿根廷圣塔菲省20个地点的样本来开发worm的种群特征。包含ADL允许找到一致的相关结构。结果还表明，worm的密度，物种多样性和不同地点的活动变化对人为干扰高度敏感。基于此数据驱动模型，可以通过测量土壤样品上的土壤和生物数据来监测不同生产系统的土壤状况，从而估算ADL。因此，ADL监视将允许决定如何继续使用和管理土地以改善其可持续性。并且不同地点的活动变化对人为干扰高度敏感。基于此数据驱动模型，可以通过测量土壤样品上的土壤和生物数据来监测不同生产系统的土壤状况，从而估算ADL。因此，ADL监视将允许决定如何继续使用和管理土地以改善其可持续性。并且不同地点的活动变化对人为干扰高度敏感。基于此数据驱动模型，可以通过测量土壤样品上的土壤和生物数据来监测不同生产系统的土壤状况，从而估算ADL。因此，ADL监视将允许决定如何继续使用和管理土地以改善其可持续性。