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Photographs taken of wild animals might be more useful data sources than we previously considered. A new study published in Frontiers in Zoology shows that information about age, tusk size and even the sexual state of elephants can be extracted from routinely collected survey photographs, even when focal distance isn’t known and lots of different cameras are used. Here to tell us more is corresponding author of the study, Dr. Hannah Mumby.
If there’s one thing people use to document a safari experience, it’s photographs. People can come back with dozens or even hundreds. Some of the snapshots might be a blurry image of a cheetah on the horizon. But others can capture the experience of an encounter and underlie our memories of it. For example, I’ll never forget the morning I photographed a hyena in Kruger National Park with the face of a lion cub in her mouth.
It’s not just tourists taking pictures of wildlife – it’s a commonly used tool for scientists and conservation professionals, who often undertake photographic surveys to understand the population dynamics of wildlife, individually identify animals, or assess species distributions.
What my colleagues Dr Caitlin Black (then my Postdoctoral Research Assistant at Cambridge University) and Dr Michelle Henley (Director of the non-profit Elephants Alive) and I wanted to do was to see whether we could pull even more data than originally intended out of survey photographs of elephants.
We had a fantastic resource to test out these ideas: Michelle and her team have been surveying elephants in the Associated Private Nature Reserves, adjacent to Kruger National Park in South Africa, since 2003. During that time, they had taken over 30,000 images of male elephants. Out of these, we were able to analyse 2,013 images of 406 individual males.
We compared ratios between body measurements extracted from the survey photographs to those taken the old-fashioned way with a tape measure when those same elephants had been darted and anesthetized so they could be fitted with satellite tracking collars.
To determine musth status or sexual state, we used the visual signs of musth from the photos, including urine dribbling and splashes of urine on the back of legs, and secretion from temporal glands. These matched well with observer reports of whether or not the elephants were in musth.
Overall, our study shows that age, sexual state, and relative body measurements can be accurately and non-invasively measured by extracting the data from survey photos.
Our method has potential to provide ecologists, reserve managers, and others conservation researchers with a tool to objectively identify the age and relative size of male elephants. Since it’s expensive and potentially risky to dart large numbers of these animals, the method might be useful and applied to other datasets or other species.
So next time you take a snapshot of wildlife, remember that you might have captured more than just a memory, you might be looking at some important data.