{"doi":"10.1128/mbio.00455-24","title":"Priorities, opportunities, and challenges for integrating microorganisms into Earth system models for climate change prediction","abstract":"<jats:title>ABSTRACT</jats:title>\n          <jats:sec>\n            <jats:title/>\n            <jats:p>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.</jats:p>\n          </jats:sec>","journal":"mBio","year":2024,"id":640117,"datarank":0.5709993734655481,"base_score":3.8066624897703196,"endowment":3.8066624897703196,"self_citation_contribution":0.5709993734655481,"citation_network_contribution":0.0,"self_endowment_contribution":0.5709993734655481,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":44,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1663527,"name":"R. Z. Abramoff","orcid":null,"position":1,"is_corresponding":false},{"id":1663528,"name":"S. D. Allison","orcid":null,"position":2,"is_corresponding":false},{"id":114509,"name":"Rachel M. Burckhardt","orcid":"0000-0001-6290-2534","position":3,"is_corresponding":false},{"id":1663529,"name":"K. M. DeAngelis","orcid":null,"position":4,"is_corresponding":false},{"id":1663530,"name":"J. P. Dunne","orcid":null,"position":5,"is_corresponding":false},{"id":1663531,"name":"S. D. Frey","orcid":null,"position":6,"is_corresponding":false},{"id":1663532,"name":"P. Friedlingstein","orcid":null,"position":7,"is_corresponding":false},{"id":1663533,"name":"C. V. Hawkes","orcid":null,"position":8,"is_corresponding":false},{"id":814094,"name":"Bruce A. Hungate","orcid":"0000-0002-7337-1887","position":9,"is_corresponding":false},{"id":1011140,"name":"S. Khurana","orcid":null,"position":10,"is_corresponding":false},{"id":1663534,"name":"S. N. Kivlin","orcid":null,"position":11,"is_corresponding":false},{"id":1663535,"name":"N. M. Levine","orcid":null,"position":12,"is_corresponding":false},{"id":26416,"name":"S. Manzoni","orcid":"0000-0002-2488-0511","position":13,"is_corresponding":false},{"id":460861,"name":"Adam C. Martiny","orcid":"0000-0003-2829-4314","position":14,"is_corresponding":false},{"id":94764,"name":"Jennifer B. H. Martiny","orcid":"0000-0002-2415-1247","position":15,"is_corresponding":false},{"id":1663536,"name":"N. K. Nguyen","orcid":null,"position":16,"is_corresponding":false},{"id":1663537,"name":"M. Rawat","orcid":null,"position":17,"is_corresponding":false},{"id":1663538,"name":"D. Talmy","orcid":null,"position":18,"is_corresponding":false},{"id":1663539,"name":"K. Todd-Brown","orcid":null,"position":19,"is_corresponding":false},{"id":952700,"name":"M. Vogt","orcid":null,"position":20,"is_corresponding":false},{"id":1663540,"name":"W. R. Wieder","orcid":null,"position":21,"is_corresponding":false},{"id":1663541,"name":"E. J. Zakem","orcid":null,"position":22,"is_corresponding":false},{"id":812592,"name":"Jay T. Lennon","orcid":"0000-0003-3126-6111","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Priorities, opportunities, and challenges for integrating microorganisms into Earth system models for climate change prediction","abstract":"<jats:title>ABSTRACT</jats:title>\n          <jats:sec>\n            <jats:title/>\n            <jats:p>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.</jats:p>\n          </jats:sec>","is_dataset_classified":null,"base_score":3.8066624897703196,"endowment":3.8066624897703196,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"38526088","pmcid":"PMC11078004","openalex_id":"https://openalex.org/W4393161741","authors":[],"funders":[{"funder_name":"National Science Foundation","grant_id":"DEB-1934554, DBI-2022049","title":null},{"funder_name":"DOD | USA | AFC | CCDC | ARO | Life Sciences Division, Army Research Office","grant_id":"W911NF2210014","title":null},{"funder_name":"National Aeronautics and Space Administration","grant_id":"80NSSC20K0618","title":null},{"funder_name":"EC | European Research Council","grant_id":"101001608","title":"Soil MIcrobial responses to land use and climatic changes in the Light of Evolution"},{"funder_name":"National Science Foundation","grant_id":"1934554","title":"Collaborative Research: BEE: A dormancy refuge in host-parasite eco-evolutionary dynamics"},{"funder_name":"National Science Foundation","grant_id":"2022049","title":"BII-Implementation: GEMS: Genomics and eco-evolution of multi-scale symbioses"},{"funder_name":"Alexander von Humboldt-Stiftung (AvH)","grant_id":"","title":null},{"funder_name":"Alexander von Humboldt-Stiftung","grant_id":"","title":null},{"funder_name":"Alexander von Humboldt-Stiftung (AvH)","grant_id":"","title":null}],"total_grants":9,"fwci":14.517,"citation_percentile":0.99323589,"influential_citations":0,"citation_trend":[{"year":2024,"count":8},{"year":2025,"count":24},{"year":2026,"count":12}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://doi.org/10.1128/mbio.00455-24","host_type":"journal"},{"url":"https://doi.org/10.1128/mbio.00455-24","host_type":"publisher"},{"url":"https://journals.asm.org/doi/pdf/10.1128/mbio.00455-24","host_type":"publisher"},{"url":"https://pubmed.ncbi.nlm.nih.gov/38526088","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11078004","host_type":"repository"},{"url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-228278","host_type":"repository"},{"url":"https://doaj.org/article/341c1cd6ab304cda8234fa7d083b574e","host_type":"repository"},{"url":"https://escholarship.org/uc/item/7hw743qf","host_type":""},{"url":"http://hdl.handle.net/20.500.11850/667312","host_type":"repository"},{"url":"https://doi.org/10.3929/ethz-b-000667312","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11078004/pdf/mbio.00455-24.pdf","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC11078004","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC11078004?pdf=render","host_type":"Europe_PMC"},{"url":"https://dx.doi.org/10.3929/ethz-b-000667312","host_type":""},{"url":"http://dx.doi.org/10.1128/mbio.00455-24","host_type":""},{"url":"https://doi.org/https://doi.org/10.1128/mbio.00455-24","host_type":""}],"fields_of_study":["Microbial Community Ecology and Physiology","Scientific Computing and Data Management","Gut microbiota and health","Climate Change","Earth, Planet","Models, Theoretical","Bacteria","Biodiversity","Humans","Ecosystem"],"mesh_terms":["Bacteria","Humans","Models, Theoretical","Ecosystem","Earth, Planet","Biodiversity","Climate Change"],"keywords":["Earth system science","Biosphere","Climate change","Biogeochemical cycle","Adaptation (eye)","Biodiversity","Harmonization","Sustainability","Environmental resource management","Computer science","Environmental science","Earth science","Ecology","Biology","Modeling","Biogeochemistry","Traits","Naturgeografi","Earth, Planet","Microbiology","Humans","Ecosystem","Biomedical and Clinical Sciences","Bacteria","biogeochemistry; modeling; traits; climate change","Opinion/Hypothesis","Biological Sciences","Medical microbiology","Models, Theoretical","QR1-502","Climate Science","Climate Action","Physical Geography","Biochemistry and cell biology","Generic health relevance","Klimatvetenskap"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. Good health"},{"sdg_number":6,"sdg_label":"6. Clean water"},{"sdg_number":13,"sdg_label":"13. Climate action"},{"sdg_number":15,"sdg_label":"15. Life on land"},{"sdg_number":0,"sdg_label":"Climate action"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-07T06:52:30.218583Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}