By Larry Powell
|An adult female in another colour phase. All images by Melanie Clapham, U of Victoria, Canada. |
The technology enables wildlife monitoring on larger scales and in higher resolution than before. And it can be applied, not only to the grizzly, but to many other mammals, as well. This, in turn, could allow conservationists and lawmakers to tackle global challenges such as biodiversity and habitat loss.
Knight Inlet, one of the two locations for the research, is home to a First Nations Lodge where bear-watching forms part of the local eco-tourism industry.
A band official there, Dallas Smith is impressed with the results.
“This amazing technology will help us identify individual bears and better understand their movement and interactions throughout our territories, which will enable us to build better management plans around habitat protection. It will also help us manage and mitigate the impact of wildlife viewing, as well as positioning ourselves to more effectively and efficiently deal with bear-human conflicts that are becoming more and more prevalent.”
These new ways of using facial recognition technology, referred to as a "deep learning approach," were published recently in the journal, Ecology and Evolution.