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Snow Leopard Individual Identification: Increasing precision in camera-trap abundance estimates?
Identifying snow leopards by their spot patterns is crucial for assessing their populations. However snow leopards can be misidentified. Current analytical frameworks, such as the spatial capture recapture or the now retired (conventional) capture recapture methods, currently assume full confidence in the individual ID data being used for the analysis. Misidentifying individuals can thus bias abundance estimates depending on the type of misidentification error.
This hybrid workshop/webinar aims to discuss how errors in snow leopard identification is a concern and work towards providing recommendations to improve individual identification from camera trap images. It also provides insights into the on-going and future developments in statistical ecology that hope to analytically address this uncertainty.

May 11, 2021 02:00 PM in Almaty

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