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    王科锋

    • 副教授 硕士生导师
    • 教师拼音名称:Wang Kefeng
    • 电子邮箱:
    • 入职时间:2018-01-24
    • 所在单位:生命科学学院
    • 学历:博士研究生毕业
    • 性别:男
    • 学位:理学博士学位
    • 在职信息:在职
    • 毕业院校:西北农林科技大学
    • 学科:生态学

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    Uncertainty quantification of the soil moisture response functions for microbial dormancy and resuscitation.

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    影响因子:7.609

    发表刊物:Soil Biology and Biochemistry

    关键字:Microbial dormancy and resuscitation Soil biogeochemical processes Soil microbes Soil moisture response function Soil water potential Uncertainty

    摘要: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, φA2D = 􀀀 0.46 ± 0.03MPa (mean ± standard deviation); (ii) the ratio of the critical SWP for resuscitation to φA2D, τ = 0.39 ± 0.16; and (iii) the exponent in the SMRFs, ω = 3.38 ± 0.54. Our results show much higher uncertainty in the SMRF for microbial resuscitation than microbial dormancy, due to the parameter τ being included in microbial reactivation with larger uncertainty than that of φA2D and ω. 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.

    论文类型:期刊论文

    卷号:160

    页面范围:108337

    是否译文:

    发表时间:2021-06-01

    收录刊物:SCI

    第一作者:Gangsheng Wang

    合写作者:Wanyu Li

    合写作者:Kefeng Wang

    合写作者:Wenjuan Huang