Greek Summer School in
Biodiversity Theory and Practice
Zagori, Greece, 24 June to 5 July, 2019
To equip participants with an understanding of the principles of modern biodiversity theory and its role in Conservation Biology. They will learn practical skills for biodiversity fieldwork including sampling design and monitoring. Students will learn how to analyze ecological data with R using some of the main packages for biodiversity data analysis and have the opportunity to try these out on their own datasets.
The course will involve lectures, fieldwork, computer labs and an individual project in roughly equal proportions. There will also be regular evening lectures and activities of a more general interest. The main course topics are as follows:
- Field techniques in biodiversity assessment
- Biodiversity theory
- Sampling design & monitoring
- Biodiversity and ecosystem function
- Statistical analysis of biodiversity data
- Biodiversity software packages (primarily R-based packages)
- Globalizing biodiversity networks and databases
- Frameworks for biodiversity management and protection
As familiarity with R is essential, we offer a special two day refresher course prior to the start of the school for those wishing to ‘brush up’ on R.
Notes: Each participant will work on a project (this might include data that they have already collected). This course focuses on species diversity.
Location: Zagori, Epirus, Greece (Ano Pedina village)
Duration: 12 days
- Alessandro Chiarucci, University of Bologna, Italy
- John M Halley, University of Ioannina, Greece
- Athansios S Kallimanis, University of Patras, Greece
- Gabor Lövei, Aarhus University, Denmark
- Anastasia Tzortzaki, University of Ioannina, Greece
- Martin Wiemers, UFZ, Germany
- Vassiliki Kati, University of Ioannina, Greece
- Kalliopi Stara, University of Ioannina, Greece
- Vassiliki Sgardeli, University of Ioannina, Greece
Participants should have a degree in Biology or environmental science or equivalent and should have at least started a postgraduate degree. Applicants with good quantitative and computational skills are especially welcome. Should be familiar with the R programming environment. Participants are expected to bring their own laptop computers with Wi-Fi capability.
Number of participants: at most 15 persons
Cost of participation: 700€
This includes transport from Ioannina to the course location, all training fees, participation in all activities and programs, accommodation, and meals. (Financial assistance available. See Cost section)
The course will be worth 6 ECTs (transferable course credits), and will be assessed as follows: Project: 50%, Continuous assessment: 50%