Soil CO₂ emission (FCO₂) in agricultural areas results from the interaction of different factors such as climate and soil conditions. Our objective was to investigate the spatiotemporal variation of FCO₂, temperature (T_soil), moisture (M_soil) and air‐filled pore space (AFPS), as well as their interactions, during the sugarcane field reform. The study was conducted on a 90 × 90 m sampling grid with 100 points at 10 m spacings. Ten assessments of FCO₂, T_soil and M_soil were carried out at each point over a 28‐day period. The greatest mean values of FCO₂ (0.74 g m⁻² hr⁻¹) and M_soil (31.7%) were obtained on Julian day 276, 2013, being associated with precipitation events at the study site. Also, the smallest values of AFPS (19.17%) and T_soil (20.90°C) were observed on the same day. The spatial variability of FCO₂, T_soil, M_soil and AFPS was best described by an adjusted spherical model, although an exponential model better fitted some results. The spatial pattern of all soil attributes showed little temporal persistency, indicating a high complexity for FCO₂ during precipitation. Correlation maps assisted in identifying regions where M_soil and AFPS better controlled the emission process and where T_soil was important. A major challenge for world agriculture is to increase the efficiency of conventional soil management practices. We highlight the importance of the spatial pattern of soil properties that directly influence the CO₂ emission dynamics. Future mitigation actions should involve less intense tillage and ensure homogeneous applications of soil inputs, thereby reducing production costs and the contribution of these activities to CO₂ emissions during the sugarcane field reform.

中文翻译：

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降水事件影响下甘蔗田改造区土壤CO2排放，温度，水分和通气的短期时空变化

农业地区的土壤CO ₂排放（FCO ₂）是气候和土壤条件等不同因素相互作用的结果。我们的目的是研究甘蔗田改造过程中FCO ₂的时空变化，温度（T_土壤），水分（M_土壤）和气孔空间（AFPS）及其相互作用。该研究是在一个90×90 m的采样网格上进行的，该采样网格以10 m的间距分布了100个点。在28天的时间里，每个点进行了10次​​FCO ₂，T_土和M_土评估。FCO ₂的最大平均值（0.74 g m ^-2  hr ^-1）和M_土（31.7％）是在2013年儒林日276号获得的，与研究地点的降水事件有关。同样，在同一天观察到了AFPS（19.17％）和T_土壤（20.90°C）的最小值。FCO ₂，T_土，M_土和AFPS的空间变异性最好通过调整后的球形模型来描述，尽管指数模型可以更好地拟合一些结果。所有土壤属性的空间格局都显示出很少的时间持久性，这表明降水期间FCO _2的复杂性很高。相关图有助于确定M_土壤和AFPS更好地控制排放过程以及T_{土壤的区域}很重要 世界农业的主要挑战是提高常规土壤管理实践的效率。我们强调了直接影响CO ₂排放动力学的土壤特性空间格局的重要性。未来的缓解措施应包括减少耕种强度，并确保均匀施用土壤投入物，从而降低生产成本，并减少甘蔗田间改革期间这些活动对CO ₂排放的贡献。