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Temperature Dependence of Soil Respiration in Arid Region Is Reconciled

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Cognitive Systems and Signal Processing (ICCSIP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1006))

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Abstract

This article suggests that temperature dependence of soil respiration in arid region is reconciled by highlighting a gap in our knowledge by examining the hypothesis that diel temperature sensitivities (i.e. Q10) of soil respiration flux (Rs) are in essence the same, ignoring the negative Rs data in arid regions that characterize more than 30% of the earth’s land area. Analyses on data collected from previous studies revealed diel turbulence in Q10 values even if excluding negative Rs data. Such turbulence was inherently controlled by temperature and soil water content. On the basis of utilizing the soil data collected from the Xinjiang and Central Asia Scientific Data Sharing Platform, four coupling models indicated that soil water content and temperature were equally significant in determining Q10. Therefore, taking into account negative Rs data in arid regions is strongly needed to reduce uncertainties in the current global/regional carbon balance and in predictions of future feedback in the coupled carbon-climate system.

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Acknowledgments

This research was financially supported by the National Natural Science Foundation of China (41571299) and the “Thousand Talents” plan (Y474161).

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Authors and Affiliations

  1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China

    Wenfeng Wang & Xi Chen

  2. College of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, 200433, China

    Xiaoliang Li

  3. Center for Geo-Spatial Information, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

    Jing Qian

  4. Environmental Change Institute, University of Oxford, Oxford, OX1 3QY, UK

    Jianjun Yu

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  1. Wenfeng Wang
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  2. Xi Chen
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  3. Xiaoliang Li
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  4. Jing Qian
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  5. Jianjun Yu
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Correspondence to Xi Chen .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China

    Dewen Hu

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Wang, W., Chen, X., Li, X., Qian, J., Yu, J. (2019). Temperature Dependence of Soil Respiration in Arid Region Is Reconciled. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-7986-4_31

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  • DOI: https://doi.org/10.1007/978-981-13-7986-4_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7985-7

  • Online ISBN: 978-981-13-7986-4

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