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Global soil carbon projections are improved by modelling microbial processes

Author

Listed:
  • William R. Wieder

    (National Center for Atmospheric Research)

  • Gordon B. Bonan

    (National Center for Atmospheric Research)

  • Steven D. Allison

    (University of California)

Abstract

Earth system models (ESMs) generally have crude representations of the responses of soil carbon responses to changing climate. Now an ESM that explicitly represents microbial soil carbon cycling mechanisms is able to simulate carbon pools that closely match observations. Projections from this model produce a much wider range of soil carbon responses to climate change over the twenty-first century than conventional ESMs.

Suggested Citation

  • William R. Wieder & Gordon B. Bonan & Steven D. Allison, 2013. "Global soil carbon projections are improved by modelling microbial processes," Nature Climate Change, Nature, vol. 3(10), pages 909-912, October.
    • Handle: RePEc:nat:natcli:v:3:y:2013:i:10:d:10.1038_nclimate1951
    DOI: 10.1038/nclimate1951
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    Cited by:

    1. Lychuk, Taras E. & Hill, Robert L. & Izaurralde, Roberto C. & Momen, Bahram & Thomson, Allison M., 2021. "Evaluation of climate change impacts and effectiveness of adaptation options on nitrate loss, microbial respiration, and soil organic carbon in the Southeastern USA," Agricultural Systems, Elsevier, vol. 193(C).
    2. Wang, Zhaoqi, 2019. "Estimating of terrestrial carbon storage and its internal carbon exchange under equilibrium state," Ecological Modelling, Elsevier, vol. 401(C), pages 94-110.
    3. Hata, Yoshiaki & Kumagai, Tomo'omi & Shimizu, Takanori & Miyazawa, Yoshiyuki, 2023. "Implications of seasonal changes in photosynthetic traits and leaf area index for canopy CO2 and H2O fluxes in a Japanese cedar (Cryptomeria japonica D. Don) plantation," Ecological Modelling, Elsevier, vol. 477(C).
    4. Arwa Hisham Rahahleh & Majd Mohammad Omoush, 2020. "The Role of Business Intelligence in Crises Management: A Field Study on the Telecommunication Companies in Jordan," International Business Research, Canadian Center of Science and Education, vol. 13(1), pages 221-232, January.
    5. Guangcun Hao & Qianlai Zhuang & Qing Zhu & Yujie He & Zhenong Jin & Weijun Shen, 2015. "Quantifying microbial ecophysiological effects on the carbon fluxes of forest ecosystems over the conterminous United States," Climatic Change, Springer, vol. 133(4), pages 695-708, December.
    6. Mingjie Shi & Hongqi Wu & Pingan Jiang & Wenjiao Shi & Mo Zhang & Lina Zhang & Haoyu Zhang & Xin Fan & Zhuo Liu & Kai Zheng & Tong Dong & Muhammad Fahad Baqa, 2022. "Cropland Expansion Mitigates the Supply and Demand Deficit for Carbon Sequestration Service under Different Scenarios in the Future—The Case of Xinjiang," Agriculture, MDPI, vol. 12(8), pages 1-18, August.
    7. Matthew E. Craig & Kevin M. Geyer & Katilyn V. Beidler & Edward R. Brzostek & Serita D. Frey & A. Stuart Grandy & Chao Liang & Richard P. Phillips, 2022. "Fast-decaying plant litter enhances soil carbon in temperate forests but not through microbial physiological traits," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    8. Leite, Marcos V.M. & Bobuľská, Lenka & Espíndola, Suéllen P. & Campos, Maria R.C. & Azevedo, Lucas C.B. & Ferreira, Adão S., 2018. "Modeling of soil phosphatase activity in land use ecosystems and topsoil layers in the Brazilian Cerrado," Ecological Modelling, Elsevier, vol. 385(C), pages 182-188.
    9. Guillaume Patoine & Nico Eisenhauer & Simone Cesarz & Helen R. P. Phillips & Xiaofeng Xu & Lihua Zhang & Carlos A. Guerra, 2022. "Drivers and trends of global soil microbial carbon over two decades," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    10. Jean-Baptiste Ramond & Annelize Pienaar & Alacia Armstrong & Mary Seely & Don A Cowan, 2014. "Niche-Partitioning of Edaphic Microbial Communities in the Namib Desert Gravel Plain Fairy Circles," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-9, October.

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