Passive Monitoring of Ectotherms with Camera Traps
Existing passive monitoring methods are poorly suited to detecting small ectothermic animals. We are developing a camera trap designed specifically for this group, eliminating the capture-related mortality and non-target bycatch inherent to physical trapping, along with the daily site visits it demands. The system will enable sustained monitoring of reptile populations in terrain that is difficult to access, supporting robust trend analysis over time. Prototypes will be tested across a range of environments to assess performance and refine the design for different deployment contexts. The project will also integrate machine learning for automated species identification from captured images, improving data processing efficiency. By making continuous, low-effort monitoring feasible, this technology aims to make undersampled groups tractable for biodiversity assessment and long-term trend analyses. This work is supported by the UWC Technology Transfer Office.
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