Final Programme
Monday 7th May
17:00 Advisory Board meeting of the European Pollen database
Tuesday 8th May
09:00 Introduction and Aims of Meeting
Session 1: Use of palaeodatabases
09:15 Jack Williams, Madison Wisconsin USA. The North American Pollen Database
10:00 Tony Barnosky, Berkeley, California, USA. Mining fossil databases to track mammal species richness through time in the USA.
10:45 Simon Brewer, Cemagref, Aix, France and Joel Guiot, CEREGE, France.. Palaeoclimate simulations: data-model comparisons.
11:15 Coffee
11:45 Thomas Giesecke, GEUS, Denmark.European vegetation dynamics and tree spreading.
12:15 Jacques-Louis de Beaulieu, Arbois, France. The FOSSILVA project. The European Pollen Database and tree genetics.
12:45 Lunch
14:00 Bent Odgaard, Aarhus, Denmark. The combined analysis of landscape data and stratigraphical pollen data: a Danish example.
14:30 Marie-José Gaillard, Kalmar, Sweden and Shinya Sugita, Minnesota, USA. The landscape reconstruction algorithm and the European Pollen Database.
15:00 Anne-Marie Lézine, CNRS, France. The African Pollen Database.
15:30 Coffee
Session 2: Database nuts and bolts
16:00 Stefan Rothe, Bremen, Germany. WDC-MARE/Pangaea
16:20 Michel Hoepffner and Nicolas Garnier. Medias, France.
17:00 Coffee
17:15 Discussion: What do we want from the new EPD?
Wednesday 9th May
09:00 Tasks for three break-out groups. Chairs: Thomas Giesecke, Basil Davis, Simon Brewer
09:30 Break-out groups:
- Desired uses of the palaeodatabase
- Administrative structure
- Database structure
11:30-1215 Coffee and attended poster session
12:45 Lunch
14:00 Plenary
15:30 Coffee
17:00 leave for field
Thursday 10th May
Field trip
Friday 11th May
Training workshops
- Morning and afternoon session
- Possibility of changing workshops between sessions
- Leaders:
- Bent Odgaard: multivariate methods
- Simon Brewer: data-model comparison
- Jane Bunting: Pollandcal
- Maarten Blauw: Age-depth modelling
Saturday 12th May
Training workshops
Activity Summary ▪
Final Programme ▪
Scientific Content ▪
Use of the Database ▪
Administrative Structure ▪
Database Structure
