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

ABSTRACT 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.
- University of Illinois at Urbana Champaign United States
- ETH Zurich Switzerland
- Tennessee State University United States
- University of California System United States
- Florida Southern College United States
Naturgeografi, Earth, Planet, Climate Change, Microbiology, traits, biogeochemistry, Humans, Ecosystem, Biomedical and Clinical Sciences, Bacteria, biogeochemistry; modeling; traits; climate change, modeling, Opinion/Hypothesis, Biodiversity, Biological Sciences, Medical microbiology, Models, Theoretical, QR1-502, Climate Science, Climate Action, climate change, Physical Geography, Medical Microbiology, Biochemistry and cell biology, Biochemistry and Cell Biology, Generic health relevance, Klimatvetenskap
Naturgeografi, Earth, Planet, Climate Change, Microbiology, traits, biogeochemistry, Humans, Ecosystem, Biomedical and Clinical Sciences, Bacteria, biogeochemistry; modeling; traits; climate change, modeling, Opinion/Hypothesis, Biodiversity, Biological Sciences, Medical microbiology, Models, Theoretical, QR1-502, Climate Science, Climate Action, climate change, Physical Geography, Medical Microbiology, Biochemistry and cell biology, Biochemistry and Cell Biology, Generic health relevance, Klimatvetenskap
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
