The Survivor’s Guide to Stable Isotope Ecology III

Stable isotopes are a powerful and ubiquitous tool in modern ecology. When used correctly, they can unlock the mysteries of food-webs, species interactions and migration patterns across the globe. However, incorrect use can result in expensively compiled, useless datasets. This course will give you the skills to maximise the benefit of the use of stable isotopes in your current or future research.

The course will be held on the scenic island of Ortigia, the historic centre of Siracusa in Sicily, Italy. Course instructors include leading experts in the application of stable isotopes of carbon, nitrogen, hydrogen, oxygen and sulphur to marine, freshwater and terrestrial ecology in addition to expertise in the growing field of compound specific stable isotope analysis and the analysis of stable isotope data.

Course ID
Stable Isotope Ecology
Palazzo Francica Nava
Team Taught
Spring 2019

The course is tailored to postgraduate students and postdoctoral researchers with some or no experience. The course-programme includes a combination of lectures, field activities, lab-work and data analysis to provide the students with a thorough understanding of the use of stable isotopes in ecology through hands-on experience.

Dates  ARR. Saturday 30 March- DEP. Saturday 6 April 2019

Program – 8 days/7 nights

Number of participants – 20 min-35 max

  • Course Fee
  • Early Bird registration by end December 2018 1180 euros
  • Regular registration by 15th January 2019 1280 euros
  • Late registration after 30th January 2019 1380 euros

Course Lecturers  2019:

Prof. Chris Harrod, Universidad de Antofagasta, Chile

Dr. Tamsin O’Connell, University of Cambridge, UK

Dr Clive Trueman, Associate Professor in Marine Ecology, University of Southampton, UK

Dr. Brian Hayden, Stable Isotopes in Nature Laboratory, University of New Brunswick, Canada

Dr. Alexia Massa-Gallucci, AquaBioTech Group, Malta

Entry requirements

Short letter of presentation

Letter of Support from tutor or supervisor

For PhD and Graduate Students, Researchers

Course structure

The course will be a combinations of


Practical experience


How you study

Apart from the lectures, there will be group projects to complete and hands-on practical experience with analysing data etc.

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