Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps.
Acorn removal study of Nendo Dango, Ecological Restoration Research group at the University of Granada
Over the last few years the conservation movement has been enthusiastically deploying new technologies that make it possible to observe and protect the natural world in ways once unimaginable. But are there any potential risks we need to consider as we deploy the new, exciting technologies?
Published in Frontiers in Veterinary Science
Human-wildlife conflict is a significant challenge that only grows as habitats shrink and other issues like climate change alter the natural world. Technologies like biologging gear have become essential for proactively addressing human-wildlife conflict before it escalates, and tech projects that seek to understand population ranges and behaviour can help people learn to live with wildlife as part of our own environments. If you're interested in using technology to prevent human-wildlife conflict, this group is the place for you!
<p>We are delighted to announce that British conservation technologist Alasdair Davies and the Dutch team of Laurens de Groot and Tim van Dam from the ShadowView Foundation are the winners of the first international <a href="/node/441">Human Wildlife Conflict Tech Challenge</a>. These two winners will each receive €30,000 to further develop and field test their solution for human-wildlife conflict.</p>
Footprints are everywhere, and are perhaps the most overlooked source of data on the planet. WildTrack's Footprint Identification Technique (FIT) can identify species, individuals, sex and age-class to a high level of accuracy from simple images of footprints taken to a standardized protocol. This technique has the benefit of being non-invasive, cost-effective and draws on the strengths of community-skills such as tracking and observation. Our WildTrackFIT community is composed of users in >20 countries and we have FIT species algorithms developed for a range of species from big cats to Pachyderms, bears, mustelids, and even small mammals.If you see footprints as part of your fieldwork, or in another capacity, we'd love to hear from you!
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