Understanding how climatic factors, soil properties, and vegetation characteristics influence the inter-site and inter-annual variations in Q₁₀ of soil respiration across biomes may help in understanding the mechanisms of soil carbon (C) cycle and its feedback to global warming. We compiled in-situ measured temperature sensitivity (Q₁₀) of soil respiration and analyzed its relationship with potential controls of climate factors, soil properties, and vegetation characteristics across various biomes at the global scale. Results indicate that the Q₁₀ of soil respiration at 5 cm depth varies from 1.100 to 13.464 across various biomes, with the coefficient of variation of 47.4%. Q₁₀ across all measurement sites increases significantly (P < 0.001) with latitude (LAT) but is correlated negatively (P < 0.001) with mean annual temperature (MAT) and annual precipitation (AP). LAT and MAT explained 20.9% (R² = 0.209) and 16.0% (R² = 0.160) of the variations in Q₁₀, respectively, across measurement sites. The soil property of BD shows the highest significantly (P < 0.001) and negatively exponential relationship (R² = 0.302) with Q₁₀ among the examined soil properties. BD has higher explanation of variations in Q₁₀ than climatic factors and vegetation characteristics at the global scale. The explanatory ability of vegetation characteristics of litter fall (LF), tree height (TH), and leaf area index (LAI) is lower than that of soil properties and climatic factors. The R² for the relationship between Q₁₀ and vegetation variables of LF, TH, and LAI was 0.130, 0.074, and 0.117, respectively. Two models including geographical, climatic and soil factors can explain more than 50% [R² = 0.509 for the model including MAT, BD, soil total nitrogen (STN), ratio of soil carbon to nitrogen (C/N), and soil organic carbon (SOC) and R² = 0.542 for the model including LAT, MAT, BD, STN, C/N, and SOC, respectively] of the variation in Q₁₀ across all measurement sites. The two models can well simulate the variations in Q₁₀, as the measured Q₁₀ is significantly (P < 0.001) and positively correlated with the modeled Q₁₀ and the slope of the regression line is closely corresponding to the 1:1 line.

了解气候因素，土壤特性和植被特征如何影响跨生物群落的土壤呼吸Q ₁₀的站点间和年际变化可能有助于理解土壤碳（C）循环的机制及其对全球变暖的反馈。我们汇编了实地测量的土壤呼吸温度敏感性（Q ₁₀），并分析了其与全球范围内各个生物群落的气候因子，土壤特性和植被特征的潜在控制之间的关系。结果表明，在5 cm深度的土壤中，不同生物群落的呼吸Q ₁₀在1100至13.464之间变化，变异系数为47.4％。问₁₀所有测量地点的 纬度（LAT）均显着增加（P <0.001），但 与年平均温度（MAT）和年降水量（AP）呈负相关（P <0.001）。LAT和MAT分别解释了整个测量站点Q _10的20.9％（R ²  = 0.209）和16.0％（R ²  = 0.160）。BD的土壤性质在所调查的土壤性质中表现出最高的显着性（P  <0.001）和 与Q _10的负指数关系（R ² = 0.302）。BD对Q ₁₀的变化有更高的解释全球范围内的气候因素和植被特征。凋落物（LF），树高（TH）和叶面积指数（LAI）的植被特征解释能力低于土壤特性和气候因素。Q ₁₀与LF，TH和LAI的植被变量之间的关系的R ^2分别为0.130、0.074和0.117。包括地理，气候和土壤因子的两个模型可以解释超过50％[  MAT，BD，土壤总氮（STN），土壤碳氮比（C / N）和土壤有机质的模型的R ² = 0.509]碳（SOC）和R ² 对于分别包括LAT，MAT，BD，STN，C / N和SOC的模型分别为= 0.542]在所有测量位置上Q ₁₀的变化。这两个模型可以很好地模拟Q ₁₀的变化，因为测得的Q ₁₀显着（P  <0.001），并且与建模的Q ₁₀正相关，回归线的斜率与1：1线非常接近。