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Preprints

Filtering by Subject: Databases and Information Systems

wildtag.ai: an open-access end-to-end offline AI-assisted desktop application for managing camera trap projects

Chris Sutherland, Oliver Hartley, Alessandro Araldi, et al.

Published: 2026-09-01
Subjects: Artificial Intelligence and Robotics, Bioinformatics, Computer Sciences, Databases and Information Systems, Ecology and Evolutionary Biology, Environmental Monitoring, Environmental Sciences, Life Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Physical Sciences and Mathematics, Terrestrial and Aquatic Ecology

1. Camera traps generate massive volumes of data, yet their decision-support potential is diluted by the bottleneck of manual processing. Automated classification has largely solved this, but classification alone does not remove the barriers to adoption: it must be coupled with the means to turn predictions into a verified, shareable dataset, which no existing tool does end-to-end, offline, and [...]

Echo-dash: Keeping ecologists in the loop with an open source, online ecoacoustic dashboard for interactive exploration of spatiotemporal soundscape data

Ivor J A Simpson, Kieran Gibb, David Kadish, et al.

Published: 2026-03-08
Subjects: Artificial Intelligence and Robotics, Biodiversity, Databases and Information Systems, Environmental Monitoring, Population Biology, Software Engineering, Terrestrial and Aquatic Ecology

Passive acoustic monitoring (PAM) is being adopted in a range of contexts. Emerging methods facilitate analysis of large-scale data sets, but ecological interpretation of acoustic indices is not straightforward. In addition, the technical and logistical requirements of using emerging AI methods for big data mean that conservation actors increasingly adopt third-party analysis solutions. We argue [...]

GhostNetZero: AI for Detecting Marine Ghost Nets

Zhongqi Miao, Gabriele Dederer, Mareen Lee, et al.

Published: 2025-09-23
Subjects: Artificial Intelligence and Robotics, Biodiversity, Databases and Information Systems, Environmental Monitoring, Marine Biology, Research Methods in Life Sciences, Sustainability

Abandoned, lost, or otherwise discarded fishing gears (ALDFG), commonly referred to as ghost nets, pose a persistent global threat to marine biodiversity. Constructed from durable synthetic polymers, ghost nets remain intact for decades, continuing to entangle and kill marine organisms while damaging habitats and imposing economic burdens on fisheries and coastal communities. Despite their [...]

Japanese mayfly family classification with a vision transformer model

Yuichi Iwasaki, Hiroko Arai, Akihiro Tamada, et al.

Published: 2024-02-10
Subjects: Aquaculture and Fisheries Life Sciences, Artificial Intelligence and Robotics, Biodiversity, Civil and Environmental Engineering, Computer Sciences, Databases and Information Systems, Engineering, Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Terrestrial and Aquatic Ecology

Benthic macroinvertebrates are a frequently used indicator group for biomonitoring and biological assessment of river ecosystems. However, their taxonomic identification is laborious and requires special expertise. In this study, we aimed to assess the capability of a vision transformer (ViT) model for family-level identification of mayflies (order Ephemeroptera). Specifically, we focused on [...]

Phyloreferences: Tree-Native, Reproducible, and Machine-Interpretable Taxon Concepts

Nico Cellinese, Stijn Conix, Hilmar Lapp

Published: 2021-03-06
Subjects: Biodiversity, Bioinformatics, Computer Sciences, Databases and Information Systems, Ecology and Evolutionary Biology, Engineering, Life Sciences, Other Ecology and Evolutionary Biology, Physical Sciences and Mathematics, Software Engineering

Evolutionary and organismal biology have become inundated with data. At the same rate, we are experiencing a surge in broader evolutionary and ecological syntheses for which tree-thinking is the staple for a variety of post-tree analyses. To fully take advantage of this wealth of data to discover and understand large-scale evolutionary and ecological patterns, computational data integration, i.e. [...]

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