WildTrack is a 501(c)3 public charity. We are based in the Research Triangle area of North Carolina, at the SAS Institute. We also partner with Duke University, and North Carolina State University.
Our Mission is to develop more effective solutions for biodiversity monitoring, through which we can better tackle the crises of human-wildlife conflict and the illegal trade in wildlife products. We encourage the adoption of new non-invasive and cost-effective technologies, and the integration of community-friendly approaches.
Our award-winning footprint identification technique (FIT) can provide accuracy of >90% in identifying at the species, individual, sex and age-class levels, just from digital images of footprints
We designed FIT when working with expert local trackers in Africa, and have translated their traditional tracking skills into a modern scientific technique which is equally accessible to local trackers and scientists.
The conservation of endangered species and the assessment of their associated ecosystems can only be achieved if reliable data on numbers and distribution is available. These data are key to the implementation of strategies for protection and management. FIT can provide these data. Using only digital images of footprints, FIT can identify at the species, individual, age-class and sex levels. Thus using a footprint census, the numbers and distribution of these species can be determined.
1. To develop and apply non-invasive and objective censusing and monitoring techniques as a fundamental resource for wildlife conservation. The Footprint Identification Technique (FIT), and others based on non-invasive approaches, can provide accurate and objective data to monitor endangered species.
2. To engage expert local ecological knowledge in communities who have lived with endangered and elusive species over generations.
3. To use the power of scientific networking to augment data collection from endangered species around the world. Footprint are ubiquitous and can be easily and opportunistically collected by anyone with a smartphone or camera.