Abiotic factors influence ecosystem functioning mainly through the biological mechanisms such as the shifts in microbial community structure and/or physiology. Sigmoidal shape soil moisture response functions (SMRFs) have been widely used to modify the dormancy and resuscitation rates in microbially explicit soil biogeochemical models. However, these SMRFs and their effects on microbial dormancy have not been well quantified with experimental data. Using observations from a three-year field experiment in subtropical forests, we conducted a comprehensive parameterization of typical sigmoidal SMRFs. We quantified uncertainties in the three parameters of these SMRFs: (i) the critical soil water potential (SWP) for microbes entering dormancy, ${\phi }_{A2D}=-0.46\pm 0.03$MPa (mean ± standard deviation); (ii) the ratio of the critical SWP for resuscitation to ${\phi }_{A2D}$, $\tau =0.39\pm 0.16$; and (iii) the exponent in the SMRFs, $\omega =3.38\pm 0.54$. Our results show much higher uncertainty in the SMRF for microbial resuscitation than microbial dormancy, due to the parameter $\tau$ being included in microbial reactivation with larger uncertainty than that of ${\phi }_{A2D}$ and $\omega$. In addition, the active microbes, rather than the total living microbes, were overwhelmingly controlled by soil moisture, leading to the stronger dependency of microbial respiration on soil moisture in the dry season than in the wet season. The SMRFs and their parameter values/uncertainties derived in this study could be directly incorporated into or used as a priori in ecosystem and Earth system models that account for microbial dormancy and resuscitation.

非生物因素主要通过生物机制影响生态系统功能，例如微生物群落结构和/或生理学的变化。S 形土壤水分响应函数 (SMRF) 已被广泛用于修改微生物显性土壤生物地球化学模型中的休眠和复苏率。然而，这些 SMRF 及其对微生物休眠的影响尚未通过实验数据得到很好的量化。利用在亚热带森林中进行的为期三年的实地试验的观察结果，我们对典型的 sigmoidal SMRF 进行了全面的参数化。我们量化了这些 SMRF 的三个参数的不确定性：(i) 微生物进入休眠状态的临界土壤水势 (SWP)，${\phi }_{\mathrm{一种}2D}=-0.46\pm 0.03$MPa（平均值±标准偏差）；(ii) 复苏的临界 SWP 与${\phi }_{\mathrm{一种}2D}$, $\tau =0.39\pm 0.16$; (iii) SMRF 中的指数，$\omega =3.38\pm 0.54$. 我们的结果表明，微生物复苏的 SMRF 的不确定性比微生物休眠要高得多，这是由于参数$\tau$ 被包括在微生物再活化中，其不确定性比 ${\phi }_{\mathrm{一种}2D}$ 和 $\omega$. 此外，活性微生物而非总活微生物主要受土壤水分控制，导致旱季微生物呼吸对土壤水分的依赖性强于雨季。本研究中得出的 SMRF 及其参数值/不确定性可以直接纳入或用作生态系统和地球系统模型中的先验模型，这些模型解释了微生物休眠和复苏。