Convergence in temperature sensitivity of soil respiration: Evidence from the Tibetan alpine grasslands

Recent studies proposed a convergence in the temperature sensitivity (Q(10)) of soil respiration (R-s) after eliminating confounding effects using novel approaches such as Singular Spectrum Analysis (SSA) or the mixed effects model (MEM) method. However, SSA has only been applied to eddy covariance data for estimating the Q(10) with air temperature, which may result in underestimations in responses of below-ground carbon cycling processes to climate warming in coupled climate-carbon models; MEM remains untested for its suitability in single-site studies. To examine the unconfounded Q(10) of R-s these two novel methods were combined with directly measured R-s for 6 years in two Tibetan alpine ecosystems. The results showed that, 1) confounded Q(10) of Rs estimated from seasonal R-s-temperature relationship positively correlated with the seasonality of R-s and 2) estimates of unconfounded Q(10) of R-s using SSA (mean = 2.4, 95% confidence interval (CI): 2.1-2.7) and MEM (mean = 3.2, 95% CI: 2.3-4.2) were consistent with the theoretical subcellular-level Q(10) (approximate to 2.4). These results support the convergence in the Q(10) of R-s and imply a conserved R-s-temperature relationship. These findings indicate that the seasonality of R-s has to be eliminated from estimating the Q(10) of R-s, otherwise the estimates should be questionable. They also indicate that seasonal Q(10) and its responses to warming should not be directly used in carbon-climate models as they contain confounding effects