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Airborne eDNA captures three decades of ecosystem biodiversity
Umeå University, Faculty of Science and Technology, Department of Ecology and Environmental Sciences. Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden.ORCID iD: 0000-0003-2182-911x
Umeå University, Faculty of Science and Technology, Department of Ecology and Environmental Sciences. CBRN Defence and Security, Swedish Defence Research Agency (FOI), Umeå, Sweden.
Umeå University, Faculty of Science and Technology, Department of Ecology and Environmental Sciences.ORCID iD: 0000-0002-4476-9255
CBRN Defence and Security, Swedish Defence Research Agency (FOI), Umeå, Sweden; Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.
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2025 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 16, no 1, article id 11281Article in journal (Refereed) Published
Abstract [en]

Biodiversity loss threatens ecosystems and human well-being, making accurate, large-scale monitoring crucial. Environmental DNA (eDNA) has enabled species detection from substrates such as water, without the need for direct observation. Lately, airborne eDNA has been showing promise for tracking organisms from insects to mammals in terrestrial ecosystems. Conventional biodiversity assessments are often labor-intensive and limited in scope, leaving gaps in our understanding of ecosystem response to environmental change. Here, we demonstrate that airborne eDNA can detect organisms across the tree of life, quantify changes in abundance congruent with traditional monitoring, and reveal land-use induced regional decline of diversity in a northern boreal ecosystem over more than three decades. By analyzing 34 years of archived aerosol filters, we reconstruct weekly temporal relative abundance data for more than 2700 genera using non-targeted methods. This study provides unified, ecosystem-scale biodiversity surveillance spanning multiple decades, with data collected at weekly intervals on both the individual species and community level. Previously, large scale analyses of ecosystem changes, targeting all types of organisms, has been prohibitively expensive and difficult to attempt. Here, we present a way of holistically doing this type of analysis in a single framework.

Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 16, no 1, article id 11281
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Environmental Sciences
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URN: urn:nbn:se:umu:diva-248203DOI: 10.1038/s41467-025-67676-7ISI: 001642829000001PubMedID: 41413054Scopus ID: 2-s2.0-105025476285OAI: oai:DiVA.org:umu-248203DiVA, id: diva2:2026942
Funder
Swedish Research Council, 2021-06283Swedish Research Council Formas, 2016-01371Swedish Research Council Formas, 2019-00579Swedish Research Council Formas, 2021-02155Swedish Research Council Formas, 2024-01990Available from: 2026-01-12 Created: 2026-01-12 Last updated: 2026-01-12Bibliographically approved

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Sullivan, Alexis R.Karlsson, EdvinSvensson, DanielVillegas, José AntonioMikko, AmandaBellieny-Rabelo, DanielSiddique, Abu BakarJohansson, Anna-MiaEsseen, Per-AndersStenberg, Per

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Sullivan, Alexis R.Karlsson, EdvinSvensson, DanielVillegas, José AntonioMikko, AmandaBellieny-Rabelo, DanielSiddique, Abu BakarJohansson, Anna-MiaEsseen, Per-AndersStenberg, Per
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Department of Ecology and Environmental SciencesDepartment of Plant PhysiologyDepartment of Molecular Biology (Faculty of Science and Technology)
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