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Data of the Insect Biome Atlas: a metabarcoding survey of the terrestrial arthropods of Sweden and Madagascar
Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405, Stockholm, SE, Sweden, SE; BaSS, Biodiversity and Sustainability Solutions, Rua da Liberdade 75, 2050-023, Aveiras de Baixo, Portugal.
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology.ORCID iD: 0000-0002-3627-6899
Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405, Stockholm, SE, Sweden, SE.
Number of Authors: 862025 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 12, no 1, article id 835Article in journal (Refereed) Published
Abstract [en]

We present the data from the Insect Biome Atlas project (IBA), characterizing the terrestrial arthropod faunas of Sweden and Madagascar. Over 12 months, Malaise trap samples were collected weekly (biweekly or monthly in the winter, when feasible) at 203 locations within 100 sites in Sweden and weekly at 50 locations within 33 sites in Madagascar; this was complemented by soil and litter samples from each site. The field samples comprise 4,749 Malaise trap, 192 soil and 192 litter samples from Sweden and 2,566 Malaise trap and 190 litter samples from Madagascar. Samples were processed using mild lysis or homogenization, followed by DNA metabarcoding of CO1 (418 bp). The data comprise 698,378 non-chimeric sequence variants from Sweden and 687,866 from Madagascar, representing 33,989 (33,046 Arthropoda) and 77,599 (77,380 Arthropoda) operational taxonomic units, respectively. These are the most comprehensive data presented on these faunas so far, allowing unique analyses of the size, composition, spatial turnover and seasonal dynamics of the sampled communities. They also provide an invaluable baseline against which to gauge future changes.

Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. 12, no 1, article id 835
National Category
Ecology Bioinformatics and Computational Biology
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URN: urn:nbn:se:kth:diva-364136DOI: 10.1038/s41597-025-05151-0ISI: 001492493700006PubMedID: 40399316Scopus ID: 2-s2.0-105005942368OAI: oai:DiVA.org:kth-364136DiVA, id: diva2:1964091
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QC 20250605

Available from: 2025-06-04 Created: 2025-06-04 Last updated: 2025-12-05Bibliographically approved

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Andersson, Anders F.

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