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The hump-backed, orange-finned mahseer is one of the world’s largest freshwater fish and unique to the Cauvery River basin in southern India. Of high global angling significance due to its size, its spawning migrations have been threatened by dam building since the early 1900s, leading to decreasing fish numbers. This has since been compounded by unsustainable harvesting, which created local food security problems as the fish was an important protein source.

Dr Pinder and Professor Britton initiated a mahseer research programme, which led to the identification and conservation of a fish now known to be at imminent risk from extinction.

ÂãÁÄÖ±²¥â€™s research clarified the taxonomy of the orange-finned mahseer as Tor remedavii, which was vital in getting it classified as ‘Critically Endangered’ on the International Union for Conservation of Nature’s (IUCN) Red List of Threatened Species. By spotlighting the orange-finned mahseer as a conservation priority, ÂãÁÄÖ±²¥ researchers influenced responsible stocking policies across the mahseer genus, throughout India and southern Asia. 

The research insights also contributed to new conservation, outreach and education awareness programmes for local schoolchildren and anglers. 

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Fossil footprints are an important, but neglected, part of the palaeontological and archaeological record.

Professor Bennett developed analytical approaches for the capture and analysis of human footprints, and then translated the work into the freeware DigTrace - an integrated software solution for the capture and analysis of 3D data of footprints. This can be applied to both fossil footprints and forensic practice and is providing data for advanced biomechanical analysis, enhanced visualisation, and the preservation of fragile fossil footprints.

Professor Bennett was approached by the US National Park Service (NPS) to help them identify human tracks at White Sands National Park in New Mexico and advise on conservation methods. The research is ongoing, including the discovery and analysis of the longest known human trackway so far reported, and the team has also pioneered the geo-prospection of human tracks using geophysical methods. 

Using DigTrace, and the research findings, Professor Bennett helped the NPS develop conservation management methods and approaches, enabling them to digitally conserve the eroding footprints. Using geophysics, the researchers developed methods for mapping hidden tracks for the NPS staff to use.

The intense media interest generated in the footprints, together with the description of how the humans involved would have been actively hunting giant ground sloth, was used by local politicians to launch draft legislation to re-designate White Sands as a Park and include the words ‘palaeontology’ and ‘archaeology’ in the founding legislation.

Staff conducting research: 

The development of unique computer modelling software, known as MORPH, addressed the need for a robust method of predicting the effects of a diverse range of activities (e.g. housing and port development, shellfishing, recreational pastimes) on legally protected bird species. MORPH creates virtual versions of real ecosystems, including realistic ways in which animals respond to changes in their environment, with the results used to inform decision-making. 

Since 2007, MORPH has been used to model 25 bird species in 22 sites in Australia, USA, Europe and the UK. The model is increasingly being used by industry, conservation NGOs and government organisations to improve the cost effectiveness of their work, set sustainable fishing quotas, and understand the impacts of new developments and human activity on the birds.