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Movement ecology (MOVE01) by PRStatistics
February 19, 2018 - February 23, 2018
The course will cover the concepts, technology and software tools that can be used to analyse movement data (from ringing/CMR to VHF/GPS to novel biologging data) in ecology and evolution, covering analysis techniques applicable broadly to most taxa, from micro-organisms to plants and animals. We will cover elementary and advanced analysis and modelling techniques broadly applicable across taxa, highlighting the advantages of a unified Movement Ecology framework. We will provide the necessary bases in ecology (especially behavioural ecology), physics and mathematics/statistics, to be able to identify for any specific research question the most appropriate study species, logging technology (incl. attachment methods), and statistical/mathematical modelling approach. We will specifically address the challenges and opportunities at each of the steps of the proposed ‘question-driven approach’, combining hands-on sessions with new biologging technology with computer-based practicals in R and specialized software for biologging data developed by the SLAM lab at Swansea University. We will also address the challenges of applying the results of the analyses to applied management problems and communicate the findings to non-experts.