A machine learning model trained on facial features and poses of Alaskan brown bears is approximately 60-70% accurate at identifying individual bears from a population of 109 bears, despite intra- and inter-annual changes in the bears' sizes. This has the potential to be a valuable non-invasive monitoring method.
Summary: https://www.popsci.com/environment/bears-facial-id/
Original paper: https://www.cell.com/current-biology/fulltext/S0960-9822(25)01670-7
β’ Restoring a healthy harbour needs an immediate pause on #SalmonFarming π£
β’ Ongoing #PopulationMonitoring to establish how many #skates there are, in order to track and refine recovery efforts.
β’ Fast track an uplisting of the species to β#CriticallyEndangered β under #Australia βs nature laws, as per the #HSI and #AMCS scientific nomination under this category in 2023.
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and maintained at levels conducive to supporting a healthy Maugean skate population.
- Restoring a healthy harbour needs an immediate pause on #SalmonFarming, at least until oxygen levels are restored and the immediate development of a captive breeding program.
- Ongoing #PopulationMonitoring to establish how many skates there are, in order to track and refine recovery efforts.
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RDN
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Alberta Bats