Project description

This project will apply existing open-source fish and shark tracking data to improve understanding of how different species use their environment and develop methodology to optimise tracking studies. Specifically, the project will determine species-specific movement patterns from acoustic telemetry data to develop a database of movement metrics. These will be evaluated relative to receiver (moored device that monitors for tagged animals) array configurations to quantify the effectiveness of different study designs. The project will be data-oriented incorporating spatial analyses, R coding, database management, and marine ecology. The prospective student does not need prior technical experience but is expected to show a willingness to learn. There is no field work component but there may be opportunity to contribute to other projects in the Southern Shark Ecology Group.

Co-supervisors

Dr Jordan Matley

Assumed knowledge

B Sc (Marine Biology) or B Sc (Animal Behaviour), basic knowledge or inteterest in learning R


Note: You need to register interest in projects from different supervisors (not a number of projects with the one supervisor).
You must also contact each supervisor directly to discuss both the project details and your suitability to undertake the project.