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Sökning: id:"swepub:oai:gup.ub.gu.se/298660" > Dynamics of Fungal ...

  • He, Liyuan (författare)

Dynamics of Fungal and Bacterial Biomass Carbon in Natural Ecosystems: Site-level Applications of the CLM-Microbe Model

  • Artikel/kapitelEngelska2021

Förlag, utgivningsår, omfång ...

  • 2021

Nummerbeteckningar

  • LIBRIS-ID:oai:gup.ub.gu.se/298660
  • https://gup.ub.gu.se/publication/298660URI
  • https://doi.org/10.1029/2020MS002283DOI

Kompletterande språkuppgifter

  • Språk:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Explicitly representing microbial processes has been recognized as a key improvement to Earth system models for the realistic projections of soil carbon (C) and climate dynamics. The CLM‐Microbe model builds upon the CLM4.5 and explicitly represents two major soil microbial groups, fungi and bacteria. Based on the compiled time‐series data of fungal (FBC) and bacterial (BBC) biomass C from nine biomes, we parameterized and validated the CLM‐Microbe model, and further conducted sensitivity analysis and uncertainty analysis for simulating C cycling. The model performance was evaluated with mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) for relative change in FBC and BBC. The CLM‐Microbe model is able to reasonably capture the seasonal dynamics of FBC and BBC across biomes, particularly for tropical/subtropical forest, temperate broadleaf forest, and grassland, with MAE < 0.49 for FBC and <0.36 for BBC and RMSE <0.52 FBC and <0.39 for BBC, while R2 values are relatively smaller in some biomes (e.g., shrub) due to small sample sizes. We found good consistencies between simulated and observed FBC (R2=0.70, P<0.001) and BBC (R2=0.26, P<0.05) on average across biomes, but the model is not able to fully capture the large variation in observed FBC and BBC. Sensitivity analysis shows the most critical parameters are turnover rate, carbon‐to‐nitrogen ratio of fungi and bacteria, and microbial assimilation efficiency. This study confirms that the explicit representation of soil microbial mechanisms enhances model performance in simulating C variables such as heterotrophic respiration and soil organic C density. The further application of the CLM‐Microbe model would deepen our understanding of microbial contributions to the global C cycle.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Lipson, David A. (författare)
  • Mazza Rodrigues, Jorge L. (författare)
  • Mayes, Melanie (författare)
  • Björk, Robert G.,1974Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences(Swepub:gu)xbjoro (författare)
  • Glaser, Bruno (författare)
  • Thornton, Peter (författare)
  • Xu, Xiaofeng (författare)
  • Göteborgs universitetInstitutionen för geovetenskaper (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Journal of Advances in Modeling Earth Systems13:21942-2466

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