The language of instruction is English. This course encourages participants to interact with each other for active learning. In addition to the planned lectures (morning), we will prepare practical/lab sessions (afternoon) in such a way that participants are able to have hands-on experience and learn how the models work, what the necessary input data are and how to interpret results. We will provide computer programs and examples of our own during the course (please bring your own laptop).

Participants are asked to introduce their scientific interests (poster) on Monday afternoon and to explain how the model-based vegetation reconstruction can help them to address specific research questions. Participants are also asked to conduct small independent projects individually or with others during the course; participants are welcome to bring their own data and materials with them and use those for their own projects. Participants will have to read and familiarize themselves with the topics beforehand. The course will finalize with a professional report by the students.

The teaching staff includes experienced researchers in model-based vegetation reconstruction such as Shinya Sugita (SS – Professor, Tallinn University, Estonia), Marie-José Gaillard (MJG – Professor, Linnaeus University, Sweden), Petr Kuneš (PK – Assistant professor, Charles University in Prague, Czech Republic), Laurent Marquer (LM – Researcher, Lund University, Sweden) and Florence Mazier (FM – Researcher CNRS UMR 5602 GEODE, Jean Jaures University, Toulouse). See below for a preliminary program.

What Who How
Day 1 (Monday)
SS to be responsible (MJG to overview historical background; FM & PK to assist exercises)
9:00-10:00     Introduction: pollen analysis in the past, present and future  MJG & SS Lecture
10:00-12:00    Basics of the theory of pollen analysis: why models are useful (exercise included) SS Lecture
13:30-17:00    How to assess pollen-vegetation relationships: Introduction to the POLLSCAPE, HUMPOL and other model-based approaches (exercise included) SS, FM & PK Computer excercice
17:30-19:00    Poster session to introduce the work of each participant All participants Discussion
Day 2 (Tuesday)
SS to be responsible (FM, LM & PK to assist exercises and discuss LRA applications)
9:00-12:00     Theory-based reconstruction of vegetation using fossil pollen: Introduction to the Landscape Reconstruction Algorithm (LRA) and related methods SS, FM & PK Lecture
13:30-17:00    Lab exercise – use of the LRA programs SS, FM, LM& PK Computer excercice
Day 3 (Wednesday)
FM to be responsible (SS to summarize basics of ERV; MJG & PK to lead field excursion/method)
9:00-12:00      Where to start?  Pollen productivity estimate with the Extended R-value (ERV) models : a  critical parameter for vegetation reconstruction FM & SS Lecture
13:00-18:00    Field excursion and exercise for vegetation survey and data collection for pollen productivity FM, MJG & PK Field excursion
Day 4 (Thursday)
MJG & FM to be responsible (PK & SS to assist discussion and lab exercise)
9:00-12:00    Strategies for vegetation survey: caveats for sampling design of vegetation and pollen for optimal use of the ERV models MJG & FM Lecture
13:30-17:00    Lab exercise and independent projects by participants FM, MJG, PK & SS Computer excercice
Day 5 (Friday)
LM, PK & FM to be responsible (MJG & SS to assist discussion)
9:00-12:00   Project presentation by participants and discussion FM, PK, LM, MJG & SS Group discussion
13:30-15:00     Implication, application and future direction. Presentation of PAGES Landcover 6K and other programs MJG, LM, FM, PK& SS Lecture and discussion