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

Jay T LennonR Z AbramoffS D AllisonRachel M BurckhardtK M DeAngelisJ P DunneS D FreyP FriedlingsteinC V HawkesBruce A HungateS KhuranaS N KivlinN M LevineS ManzoniAdam C MartinyJennifer B H MartinyN K NguyenM RawatD TalmyK Todd-BrownM VogtW R WiederE J Zakem
Published in: mBio (2024)
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.
Keyphrases
  • climate change
  • human health
  • mental health
  • healthcare
  • public health
  • risk assessment
  • health information
  • physical activity
  • microbial community
  • molecular dynamics
  • machine learning
  • big data
  • deep learning