Ecosystem respiration (R_eco) and its components, the autotrophic respiration (R_a) and soil respiration (R_s) are the essential indicators of the global carbon cycle. They are represented as functions of either temperature or soil moisture, or a combination of both in the widely-used Earth System Models (ESMs). Thus, it is difficult to evaluate the influence of other environmental factors (such as, precipitation, soil temperature, dissolved oxygen level and oxidation reduction potential (ORP)) on R_a, R_s and R_eco. Here we introduced microbially mediated, detailed carbon cycle processes within our mechanistic model to address this issue. Dominance analysis using a multivariate approach was performed to find out the influence of individual environmental factors on R_a, R_s and R_eco in the cold climate regions of Athabasca River Basin (ARB), Canada. Contribution of the 6 predictor variables, including air temperature, precipitation, soil temperature, water-filled pore space (WFPS) used as a proxy of soil moisture, dissolved oxygen level, and ORP, on R_a, R_s and R_eco were estimated based on the R² values originated from multiple regression analyses. Our results showed that the prevailing temperature (both air and soil) and dissolved oxygen levels are the major influencing factors on R_a, R_s and R_eco. WFPS is found to be the least influential factor on respiration estimation. Output of this study can be used to consider the crucial roles of environmental drivers in R_a, R_s and R_eco estimation in the development of future ESMs.

生态系统呼吸（R _eco）及其组成部分，自养呼吸（R _a）和土壤呼吸（R _s）是全球碳循环的重要指标。在广泛使用的地球系统模型（ESM）中，它们表示为温度或土壤湿度的函数，或二者的组合。因此，很难评估其他环境因素（如降水，土壤温度，溶解氧水平和氧化还原电位（ORP））对R _a，R _s和R _{eco的影响。}。在这里，我们在机械模型中介绍了微生物介导的详细碳循环过程，以解决此问题。进行了使用多元方法的优势分析，以找出单个环境因素对加拿大阿萨巴斯卡河流域（ARB）寒冷气候地区的R _a，R _s和R _eco的影响。6个预测变量，包括空气温度，降水，土壤温度，用作土壤湿度的代理水填充孔隙空间（WFPS），溶解氧水平，和ORP的贡献，R上_一个，R_小号和R_生态估计基于R ²值来自多重回归分析。我们的结果表明，主要温度（空气和土壤）和溶解氧水平是对R _a，R _s和R _eco的主要影响因素。发现WFPS是影响呼吸估计的最小影响因素。这项研究的结果可用于考虑环境驱动因素在未来ESM的开发中在R _a，R _s和R _eco估计中的关键作用。