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Rhino Footprint Identification ProjectBackground to Rhinowatch - Sky and Zoe JewellWe established Rhinowatch in 1991, to census and monitor endangered species. We are especially interested in the application of non-invasive techniques, and have developed a rhino footprint identification technique which has given a very high degree of accuracy for both censusing and monitoring (Jewell, Alibhai and Law, 2001). The latest information on Sky and Zoe's work is available at Wildtrack.org. Our interest in the application of non-invasive techniques for wildlife monitoring has been fostered by our research findings that repeated immobilization of female black rhino for invasive management (primarily radio-collaring) has a negative impact on their fertility (Alibhai, Jewell & Towindo, 2001). Similarly our data showed that radio-collars had a very high failure rate (Alibhai & Jewell, 2001). In the last 11 years we have worked in Zimbabwe and Namibia, on black and white rhino. Last year we began to develop the footprint identification technique for Tigers, and plan to extend the range and scope of the technique further whilst continuing our rhino work. Our research centre is currently based in Portugal. We believe that the future of wildlife conservation depends to a large extent on our ability to develop non-invasive, cost-effective and sustainable methods of censusing and monitoring endangered species. Many current techniques employed for conservation (radio-collaring, tagging, notching etc) are expensive, sometimes ineffective and often unsustainable. Developing countries, home to many endangered species, are best able to sustain and manage techniques which are inexpensive and utilise indigenous skills. We believe that the footprint identification technique has a very promising future in wildlife conservation, and has shown itself to be adaptable to other endangered species. In 2002 our technique was nominated by SAS, the largest private software company in the world, for an award in the 2002 Computerworld Honors programme. In June 2002 we attended the award ceremony in Washington USA and were honoured to be presented with the award for Environment, Energy and Agriculture. Full details of the award are available at www.cwheroes.org
Sky Alibhai and Zoe Jewell accept the award for Environment, Energy and Agriculture at the Computerworld Honors Awards in Washington DC. The footprint identification technique
(From left to right) Zoe Jewell, DNP Scout Sgt. Richards and Sky Alibhai photographing a black rhino spoor The footprint identification technique was developed to address the need for an objective, non-invasive and cost-effective method for the identification of individual rhino, for use in censusing and monitoring. A full description of the technique is given in Jewell et. al. (2001). To give a brief outline, digital photographs are taken of rhino footprints and downloaded onto a laptop or PC. Landmark points are placed on the image and measurements made between them. Statistical analyses allow animals to be identified from the resulting "geometric profile". This information can be used both by researchers for the study of the behaviour and ecology of the rhino, and by managers for deployment of anti-poaching patrols for protection of the rhino. It has several advantages over currently used monitoring methods.
White rhino foot
White rhino footprint, processed ready for analysis Rhinowatch research in NamibiaIn 1999 we were invited to conducted a full census of the white rhino population at the Otjiwa ranch in Namibia, using an adaptation of our footprint identification technique originally developed for black rhino. At this time the Otjiwa population was the largest of white rhino on private land in the world. The technique gave accuracy for both censusing and monitoring of over 90%. In 2002 we revisited this population and were able to update the census using the same technique.
A white rhino cow and calf at Otjiwa Ranch, Namibia.
Map of Namibia, showing Otjiwa Ranch The Sinamatella and Otjiwa datasets have shown that the technique can be used very effectively to identify individual rhino for censusing and monitoring. There are, however, several ways in which the technique could perhaps be refined and made more flexible, and we are currently working on this.
Adaptation of the footprint technique for the Tiger and other endangered species.In 2002, in a joint project with SAS and the Carnivore Preservation Trust (CPT) in North Carolina (N.C.), USA, we undertook a preliminary trial on the identification of individual Tigers from their footprints. By re-calibrating the technique for the tiger footprints we have been able to identify 10 individuals, with very high accuracy. This process has involved the identification of specific landmark points and variables which can be used to separate individuals. There is no reason why it could not be so applied for other endangered species. We now plan to conduct field trials with three research groups, in India, Bangladesh and Siberia. Once footprint photographs have been gathered we will field-test the technique. We hope that these trials can be run in conjunction with established objective tiger monitoring techniques, such as camera trapping and transect work, which will have the benefit of ground-truthing the spoor technique. If it works well, the spoor technique will have the additional advantage that it is non-invasive, particularly cost-effective and spoor can be collected from anywhere impressions are left, not just at trapping points or on transects. Once the technique has been proven in local conditions, we will continue to work with local scientists to ensure that all the technology is in place for them to continue the work themselves. Our future aim is then to adapt this technique for other endangered species, always working in close conjunction with local field biologists and other scientists.
Tiger spoor photograph, ready for processing Publications
Popular press articles 2000-2001
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