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Priorities, opportunities, and challenges for integrating microorganisms into Earth system models for climate change prediction

  • J. T. Lennon
  • , R. Z. Abramoff
  • , S. D. Allison
  • , R. M. Burckhardt
  • , K. M. DeAngelis
  • , J. P. Dunne
  • , S. D. Frey
  • , P. Friedlingstein
  • , C. V. Hawkes
  • , B. A. Hungate
  • , S. Khurana
  • , S. N. Kivlin
  • , N. M. Levine
  • , S. Manzoni
  • , A. C. Martiny
  • , J. B.H. Martiny
  • , N. K. Nguyen
  • , M. Rawat
  • , D. Talmy
  • , K. Todd-Brown
  • M. Vogt, W. R. Wieder, E. J. Zakem
  • Indiana University Bloomington
  • Ernest Orlando Lawrence Berkeley National Laboratory
  • Ronin Institute
  • Long Beach VA and University of California
  • American Society for Microbiology
  • UMass Amherst
  • National Oceanic and Atmospheric Administration
  • University of New Hampshire Durham
  • University of Exeter
  • North Carolina State University
  • Northern Arizona University
  • Stockholm University
  • University of Tennessee
  • University of Southern California
  • National Science Foundation
  • University of Florida
  • ETH Zurich
  • National Center for Atmospheric Research
  • University of Colorado Boulder
  • Carnegie Institution of Washington

Résultats de recherche: Contribution à un journalArticle de révisionRevue par des pairs

Résumé

Climate change jeopardizes human health, global biodiversity, and sustainability of the biosphere. To make reliable predictions about climate change, scientists use Earth system models (ESMs) that integrate physical, chemical, and biological processes occurring on land, the oceans, and the atmosphere. Although critical for catalyzing coupled biogeochemical processes, microorganisms have traditionally been left out of ESMs. Here, we generate a “top 10” list of priorities, opportunities, and challenges for the explicit integration of microorganisms into ESMs. We discuss the need for coarse-graining microbial information into functionally relevant categories, as well as the capacity for microorganisms to rapidly evolve in response to climate-change drivers. Microbiologists are uniquely positioned to collect novel and valuable information necessary for next-generation ESMs, but this requires data harmonization and transdisciplinary collaboration to effectively guide adaptation strategies and mitigation policy.

langue originaleAnglais
journalmBio
Volume15
Numéro de publication5
Les DOIs
étatPublié - 1 mai 2024
Modification externeOui

SDG des Nations Unies

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