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Spatial capture-recapture methods for snow leopards

Project Description

We do not know how many snow leopards are left in the world. Snow leopard range country governments and scientists have launched an ambitious initiative to develop a robust assessment of the global snow leopard population within the next five years, and monitoring efforts will continue after that. Spatial capture-recapture (SCR) methods are central to these efforts. The very heterogeneous nature and massive range of suitable snow leopard habitat, the tiny fraction of the range that can be surveyed in any year, and the variety of data types (camera trap data, GPS tag data, genetic sampling data, prey survey data, environmental data) that are available for informing estimates of abundance and density, raises methodological challenges for SCR analysis and for survey design. This PhD will address some of these problems, developing integrated open-population methods for using SCR and other data to assess and monitor snow leopard populations.

Funding Notes

Multiple sources of scholarship funding are potentially available, including university, research council (EPSRC) and research group (CREEM). Some are open to international students, some to EU and some UK only.

Applicants should have a good first degree in mathematics, statistics or another discipline with substantial numerical component. Applicants with degrees in other subjects (e.g., biology) should have the equivalent of A-level/Higher mathematics, and experience using statistical methods; such candidates should discuss their qualifications with the Postgraduate Officer. A masters-level degree is an advantage.

Further details of the application procedure, including contact details for the Postgraduate Officer, are available at View Website

How good is research at University of St Andrews in Mathematical Sciences?

FTE Category A staff submitted: 30.60

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