Recent research has unveiled significant changes in biodiversity over three decades by analyzing DNA captured on air filters stored since the 1960s. A study published in Nature Communications reveals how tiny fragments of genetic material collected from the atmosphere provide insights into the ecological history of the area surrounding Kiruna, Sweden. This groundbreaking work highlights the potential of airborne DNA to serve as a time capsule of past ecosystems.
Researchers from Umea University, the Swedish University of Agricultural Sciences, and the Swedish Defense Research Agency (FOI) embarked on a comprehensive analysis of airborne DNA using filters originally intended for monitoring radioactive fallout. These filters, which have been preserved in an archive since the 1960s, have now been recognized as a valuable resource for studying ecological changes over time.
Decades of Ecological Data Revealed
The filters collected genetic material from a wide range of organisms, including plants, fungi, insects, birds, and large mammals like moose and reindeer. Through advanced DNA sequencing techniques, the research team was able to identify approximately 2,700 organism groups in the vicinity of the air monitoring station and track their population fluctuations over a span of 34 years.
Lead author Per Stenberg expressed his excitement about the project, stating, “It was a stroke of luck that the filters had been kept—and that they were made of a material that preserves DNA. The archive turned out to be a time machine, allowing us to revisit the past and watch an ecosystem changing in almost real time.”
The study’s findings indicate a notable decline in biodiversity from the 1970s to the early 2000s. Specifically, the research highlights a decrease in birch trees and their associated fungi and lichens. While climate change is often blamed for biodiversity loss, this decline appears to be more closely linked to human activities, particularly forest management practices.
Innovative Methods for Biodiversity Monitoring
Although analyses of airborne DNA have been conducted previously, this research represents a pioneering approach that spans several decades. The methodology employed extensive DNA sequencing, machine-learning techniques for organism identification, and air-flow modeling to determine the sources of the DNA. Comparisons with traditional field surveys have confirmed the reliability of this new technique for monitoring biodiversity and detecting changes in species abundance.
Co-author Daniel Svensson noted the extensive effort that went into the research, saying, “This 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.”
The implications of this study extend beyond the immediate findings. The existing networks of air-filter stations can be utilized to monitor biodiversity trends and reconstruct ecosystems in areas where baseline data is lacking. This capability is vital for predicting future ecological changes and adapting management and restoration strategies accordingly.
Stenberg emphasized that the method also allows for the detection and tracking of genetic variation, as well as the identification of invasive species and pathogens. This innovative approach to ecological monitoring could reshape how scientists understand and respond to biodiversity loss on a global scale.
For further details, see the full study: Alexis R. Sullivan et al, “Airborne eDNA captures three decades of ecosystem biodiversity,” Nature Communications (2025). DOI: 10.1038/s41467-025-67676-7.
