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Technological evolution generates new answers and new ways forward: A progress report from the first decade at the Karlsö Auk Lab.


Authors

JONAS HENTATI-SUNDBERG1, PER-ARVID BERGLUND2, AGNES B. OLIN1, ARON HEJDSTRÖM2, HENRIK ÖSTERBLOM3, ASTRID A. CARLSEN1, QUENTIN QUEIROS1, & OLOF OLSSON4
1Department of Aquatic Resources, Swedish University of Agricultural Sciences, Uppsala, Sweden *(jonas.sundberg@slu.se)
2Baltic Seabird Project, Klintehamn, Sweden
3Royal Swedish Academy of Sciences, Stockholm, Sweden
4Stockholm Resilience Centre, Stockholm University, Sweden

Citation

Hentati-Sundberg, J., Berglund, P.-A., Olin, A. B., Hejdström, A., Österblom, H., Carlsen, A. A., Queiros, Q., & Olsson, O. 2025. Technological evolution generates new answers and new ways forward: A progress report from the first decade at the Karlsö Auk Lab. . Marine Ornithology 53: 21 - 33
http://doi.org/10.5038/2074-1235.53.1.1612

Received 29 February 2024, accepted 03 August 2024

Date Published: 2025/04/15
Date Online: 2025/01/12
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Key words: automation, artificial intelligence, big data, Common Guillemot, information technology, long-term studies, seabirds

Abstract

In 2008, we built an artificial nesting construction for Common Murres Uria aalge, the Karlsö Auk Lab, on an island in the Baltic Sea (Hentati-Sundberg et al., 2012). The aim was to create an environment in which the birds could be readily monitored and accessed, and technological equipment easily installed. In this current paper, we report on murre recruitment to the Auk Lab over the first decade, assess the performance of the birds living on the lab compared to natural cliff ledges, and revisit the original research questions. We conclude that the tremendous developments in sensor technology (video surveillance, automated scales, thermal cameras, weather sensors) and artificial intelligence was not anticipated 10 years ago. Several major scientific insights, including the effects of eagle disturbances and heat stress on the murres, have come as surprises and have been driven mainly by technology's potential to deliver data with a resolution unattainable using traditional field studies. The dramatic increase in data volumes has partly been paired by automated analysis methods, but some aspects of the new technology, notably individual identification, have been more difficult than anticipated. The investment costs for information technology infrastructure, data storage, and processing capacity have also been substantial. We finish the paper by sketching out new research questions that will guide the next decade at the Auk Lab and repeating an invitation for research collaborations beyond our planned research focus.

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