In this work, the variations in the dynamical complexities in soil temperature variations were compared with that of air temperature using measured temperature parameters from different stations located in Nigeria. These parameters were also compared to the monthly averages of rainfall. The data sets were analysed using nonlinear time series analytical techniques. The results reveal that the annual trend of dynamical complexity follows a reverse trend of the rainfall peak period and the Lyapunov exponent for the un-detrended air temperature time series does not follow the same annual trend as that of the soil temperature. Also, dynamical properties of the two parameters are highly associated with correlation coefficients that are in some cases as high as 0.85 especially for the entropy measure for both air and soil. It was observed, however, that the degree of correlations between these parameters varies with time and location. An observed graduated response of Tsallis entropy computed for detrended soil temperature revealed a steady increase of the values of Tsallis entropy from north to south of Nigeria across the geographical belts. The observed variations have been associated with varying atmospheric factors and the changes in the properties of the soil with location. These factors might be influential in conjunction with other factors in the air-soil interface.

在这项工作中，使用来自尼日利亚不同站点的测得温度参数，将土壤温度变化动态复杂性的变化与气温的变化进行了比较。这些参数也与每月平均降雨量进行了比较。使用非线性时间序列分析技术分析数据集。结果表明，动力复杂性的年趋势遵循降雨高峰期的逆向趋势，而无趋势的气温时间序列的Lyapunov指数与土壤温度的年际趋势并不相同。另外，这两个参数的动力学特性与相关系数高度相关，在某些情况下，相关系数高达0.85，尤其是对于空气和土壤的熵测度而言。但是观察到，这些参数之间的相关程度随时间和位置而变化。观察到的针对趋势土壤温度计算的Tsallis熵的分级响应表明，跨越地理带，尼日利亚北部至南部Tsallis熵的值稳定增加。观测到的变化与大气因素的变化以及土壤特性随位置的变化有关。这些因素可能会与空气-土壤界面中的其他因素一起产生影响。观测到的变化与大气因素的变化以及土壤特性随位置的变化有关。这些因素可能会与空气-土壤界面中的其他因素一起产生影响。观测到的变化与大气因素的变化以及土壤特性随位置的变化有关。这些因素可能会与空气-土壤界面中的其他因素一起产生影响。