A Citizen Science Survey of Cheetah and Leopard in Etosha

In the realm of wildlife conservation and management, accurately estimating species population sizes and structures is essential. This is particularly crucial for keystone species, such as large carnivores, as they play a pivotal role in ecosystems due to their position at the top of the food chain. Comprehending carnivore ecology, behaviour, and population dynamics within protected areas is especially pertinent to conservation efforts. It also enhances our ability to mitigate conflicts with human populations residing in the surrounding areas of these areas.

Reliable population estimates for lions, spotted hyenas, cheetahs and leopards in Namibia’s flagship Etosha National Park, are still lacking. This called the  Greater Etosha Carnivore Programme  into life.

Carnivores are notoriously difficult to count due to their wide-ranging behaviours, nocturnal habits, elusive nature and low densities. Fortunately, methods to monitor population sizes have been relatively well developed. Cheetahs and leopards have unique coat patterns, which allows for individual identification from direct observation or from photographs. Master's student, Mburaje Keja (Namibia University of Science and Technology), will use individual identification to produce the first population size estimates for these two spotted cat species in Etosha National Park.  For this, we invite all visitors to Etosha National Park to share their photographs of cheetah and leopard to help us achieve our goal.

share Your photographs of cheetah and leopard with us

You can submit your observations via the button below. You will be asked to provide some details about your observation, such as date, location, and the number of animals in the group and to share your email address with us so we can contact you if we need to (no spamming, promise). You can also simply send an email with all the information about your sighting(s) to etosha.census@orc.eco  (one email per observation please). Your images will then be processed using a specialised Artificial Intelligence (AI) platform, the African Carnivore Wildbook . Image submission will be open from 1 June 2024 until 31st December 2025. Every individual seen inside Etosha National Park between 1 June 2024 and 31 May 2025 counts.

SUBMIT your sighting

Image Guidelines: What We Need to identify the animals

For identification purposes, high-quality images capturing clear views of the animal's flanks are preferred. If you can provide images of both sides, this is the holy grail for us! Group pictures are also important to help us identify social relationships and cub survival rates. Profile (side) portraits are also valuable.

However, frontal portraits are not ideal as the front of the face doesn’t show many unique features. Images of animals where most of their body is obstructed, such as when lying down, behind vegetation or walking away, are not particularly valuable either. The AI pattern recognition algorithm requires a clear contract to be able to do its job. Hence, pixelated pictures resulting from low resolution images or from the animal being too small in the frame will not be very helpful either.

Partners

Ministry of Environment, Forestry and Tourism Namibia University of Science and Technology Namibian Chamber of Environment Savannah River Ecology Lab at the University of Georgia

Images copyright and intellectual property disclaimer

By submitting your images to this survey, you allow Ongava Research to use them solely to identify individual cheetahs and leopards and give them the intellectual property of the data extracted from these images. Submitted images will not be used for any commercial purpose. The copyright and property of images remain entirely with the person submitting them. If the Ongava Research Centre (or collaborators) wishes to use the images to display to the public for research/illustration purposes, the person who submitted the image will be contacted, permission will be asked, and owner copyright will be clearly displayed on the image.