WildWID: An open-source active RFID system for wildlife research

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Rafiq, K
Appleby, RG
Edgar, JP
Radford, C
Smith, BP
Jordan, NR
Dexter, CE
Jones, DN
Blacker, ARF
Cochrane, M
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2021
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Abstract

Radio-frequency identification (RFID) tags represent some of the smallest animal-borne technologies available. They are frequently used for understanding fine-scale associations between animals and their environments. However, currently available devices are often prohibitively expensive or difficult to customise. We present ‘WildWID’, an open-source radio-frequency identification system that can be used for detecting encounters between tags and loggers and/or integrated into more advanced experimental set-ups for triggering audio or visual playbacks following the detection of RFID tag codes. WildWID systems can be made using commercially available components (costing ~$20 USD for tags and ~$60 for loggers) and can be customised to fit project and species-specific needs. WildWID tags have been deployed on a range of species including koalas Phascolarctos cinereus, lions Panthera leo and shy albatross Thalassarche cauta for a range of research topics, including the assessment of road-crossing structures and species' responses to intraspecific competitors. WildWID is a cost-effective RFID system that can increase the accessibility of this technology for a wider range of researchers and study questions. Its use provides researchers with opportunities to mitigate ethical concerns, for example, by customising systems for species-specific conditions, and its customisability extends the range of applications where RFID systems can be used by field biologists.

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Methods in Ecology and Evolution

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This publication has been entered in Griffith Research Online as an advanced online version.

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Environmental management

Ecology

Evolutionary biology

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Rafiq, K; Appleby, RG; Edgar, JP; Radford, C; Smith, BP; Jordan, NR; Dexter, CE; Jones, DN; Blacker, ARF; Cochrane, M, WildWID: An open-source active RFID system for wildlife research, Methods in Ecology and Evolution, 2021

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