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Fungal interactions reduce carbon use efficiency.

Daniel S Maynard1,2, Thomas W Crowther1,3, Mark A Bradford1

  • 1School of Forestry and Environmental Studies, Yale University, 370 Prospect St, New Haven, CT, USA.

Ecology Letters
|July 6, 2017
PubMed
Summary
This summary is machine-generated.

Fungal species interactions significantly reduce carbon use efficiency (CUE), impacting carbon cycling. This biotic effect on CUE is more substantial than environmental factors like temperature and nutrients.

Keywords:
Biogeochemicalbiotic interactionscarbon cyclediversity functioninterference

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Area of Science:

  • Mycology
  • Ecology
  • Biogeochemistry

Background:

  • Fungi are key decomposers, influencing carbon cycling through their carbon use efficiency (CUE).
  • Abiotic factors like temperature and nutrients affect fungal CUE, but the impact of species interactions remains largely unquantified.
  • Understanding CUE is crucial for predicting how fungal communities will respond to environmental changes.

Discussion:

  • This study investigated how interactions among wood-decay fungi affect CUE under varying temperature and nitrogen conditions.
  • Results demonstrate that multispecies fungal communities consistently exhibit lower CUE compared to monocultures.
  • Species interactions reduced CUE by up to 25%, a more significant effect than observed abiotic variations.

Key Insights:

  • Interspecific fungal interactions impose a substantial cost on carbon use efficiency.
  • The negative impact of species interactions on CUE is independent of temperature and nitrogen availability.
  • Biotic interactions play a critical role in modulating fungal contributions to carbon cycling.

Outlook:

  • Future research should explore the mechanisms driving CUE reduction in multispecies fungal communities.
  • Incorporating the effects of species interactions is essential for accurate modeling of fungal-mediated carbon fluxes.
  • Understanding these dynamics is vital for predicting ecosystem responses to climate change and resource availability.