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Technicians had swapped out the air filters weekly, creating a record as DNA fragments clung to the dust caught in the fibers.<\/p>\n
The work was led by Per Stenberg, an associate professor at Ume\u00e5 University<\/a> in Sweden. <\/p>\n Stenberg\u2019s research explores how land use and climate pressures leave lasting genetic patterns across northern ecosystems.<\/p>\n Finding life in airborne DNA<\/p>\n A monitoring station outside Kiruna supplied the material, and staff archived the filters in storage rooms for decades.<\/p>\n Air currents carry pollen, spores, and skin cells, which settle on filters as solid fibers catch them.<\/p>\n This approach brings environmental DNA sampling from water to land, using DNA fragments that linger in the air after cells break down.<\/p>\n The floating particles, or aerosols, are tiny bits of airborne solids and liquids that can carry traces of DNA.<\/p>\n Because winds carry aerosols over long distances, the DNA reflects nearby species as well as distant biological sources.<\/p>\n Reading airborne DNA<\/p>\n The researchers built the dataset by washing filters for fragments, and then using DNA sequencing to read genetic code<\/a>.<\/p>\n Short DNA pieces often dominate older samples, and computers match those snippets to reference libraries from known organisms.<\/p>\n Careful lab controls matter because stray human DNA or lab dust can slip into samples unnoticed.<\/p>\n Grouping DNA signals<\/p>\n The analysis relied on machine learning, software that learns patterns from data, to assign fragments to organism groups.<\/p>\n About 2,700 organism groups appeared near the station, and the analysis tracked changes across branches of life.<\/p>\n Plants, fungi, insects, birds, fish, and large mammals all left detectable signals, including moose and reindeer.<\/p>\n Tracking air movement<\/p>\n Air-flow modeling supported the work by estimating where sampled air traveled, helping narrow DNA sources.<\/p>\n Weather data and particle physics mapped paths, so the analysis could separate local forest signals from distant regions.<\/p>\n Tracing air paths matters for interpretation, because a rare signal might reflect transport rather than local presence.<\/p>\n Comparisons with field surveys<\/p>\n Traditional field surveys checked the results, and both approaches often rose and fell together.<\/p>\n Field teams can miss shy species or brief blooms, while this method can miss organisms that shed little DNA.<\/p>\n Combining both methods can reduce blind spots, and this approach adds coverage when storms or darkness block surveys.<\/p>\n Biodiversity decline detected<\/p>\n Long-term patterns revealed a biodiversity decline<\/a> from the 1970s to the early 2000s in the region.<\/p>\n The researchers found that birch declined, along with wood-associated lichens and fungi. The pattern points to changes in forest structure.<\/p>\n Parallel shifts in microbes and insects suggest the method captured changes that cut across food webs.<\/p>\n Forest and land use changes<\/p>\n Climate records could not explain the decline, and forest management emerged as a likely pressure.<\/p>\n Land use change is a major driver of biodiversity loss, and northern forests are impacted through logging and road building drivers<\/a>.<\/p>\n Selective cutting and even-aged planting can simplify habitat by reducing tree age diversity and dead wood, which many specialist species rely on.<\/p>\n Limitations of airborne DNA detection<\/p>\n The approach cannot count exact population sizes, because different species shed DNA at very different rates.<\/p>\n Temperature, sunlight, and microbes drive degradation<\/a>, chemical and biological breakdown of DNA, and those processes complicate long-term comparisons of DNA.<\/p>\n Reference databases remain incomplete for many insects and fungi, so the analysis sometimes labels DNA broadly.<\/p>\n Global air filter networks<\/p>\n Air-monitoring networks operate at many sites worldwide, and archived filters could reveal similar histories elsewhere.<\/p>\n Routine air-quality sampling can collect DNA from many taxa, and some programs store filters for years, creating hidden biodiversity logs<\/a>.<\/p>\n Costs still matter, but this method can reuse infrastructure instead of building new traps and survey routes.<\/p>\n An early warning system<\/p>\n Communities need early warning when ecosystems lose diversity, and this approach can detect changes before forests are visibly altered.<\/p>\n Genetic variation and invasive species<\/a> can appear early in DNA traces, supporting disease and pest tracking.<\/p>\n Land managers often lack baseline surveys, and this method can rebuild timelines to guide restoration and harvest plans.<\/p>\n Future studies can expand the archive, using additional filters to test how quickly management decisions ripple through food webs. <\/p>\n Open datasets could then allow comparisons across regions, while safeguarding sensitive species locations.<\/p>\n \u201cThis work is the result of nine years of intense research and development. I look forward to applying these data, together with ongoing sequencing of additional filters, to a wide range of questions,\u201d said Daniel Svensson, a co-author of the study.<\/p>\n The research is published in the journal Nature Communications<\/a>.<\/p>\n \u2014\u2013<\/p>\n Like what you read? Subscribe to our newsletter<\/a> for engaging articles, exclusive content, and the latest updates.\u00a0<\/p>\n Check us out on EarthSnap<\/a>, a free app brought to you by Eric Ralls<\/a> and Earth.com.<\/p>\n \u2014\u2013<\/p>\n","protected":false},"excerpt":{"rendered":"Genetic traces captured from air samples reveal a long term biodiversity decline over 34 years in northern Sweden.…\n","protected":false},"author":2,"featured_media":202719,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[85,46,231,141],"class_list":["post-202718","post","type-post","status-publish","format-standard","has-post-thumbnail","category-science","tag-il","tag-israel","tag-lifestyle","tag-science"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/202718","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=202718"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/202718\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/202719"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=202718"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=202718"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=202718"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}