The course provides a comprehensive overview of the state-of-the-art methods in mapping phenotypic trait evolution and will provide participants with a springboard to using these methods to answering their own research questions.
We focus on analyses that use a phylogenetic tree and observed trait information from tip taxa (extant and/or extinct) to describe how traits have changed along the branches of a phylogeny. The course covers methods that estimate and test patterns related to changes in mean, covariation, and rate. Applications for continuous and categorical, and univariate and multivariate research designs are discussed.
At the end of this course, participants will have developed an understanding of:
(1) Brownian motion and Ornstein-Uhlenbeck models of evolution.
(2) How these models can be applied to estimate and test patterns of trait evolution.
(3) What the advantages and disadvantages are of different models/methods.
(4) How to recognize which model/method is most appropriate given a particular dataset and research question.
We provide several data sets that will be used to exemplify the application of these methods. We do, however, encourage participants to bring their own data so as to get direct experience with analysing precisely what they expect to analyse.
Methods from the following R packages will be discussed: ape, geiger, phytools, evomap, l1ou, bayou, surface, OUwie, mvMORPH, geomorph (this list may change as new packages become available).
Important note: Please bear in mind that this course is not about reconstructing (building) phylogenetic trees, the methods we cover in this course assume that a phylogeny is known.
- Monday to Friday:
- 9:30 to 13:30 Lessons.
- 13:30 to 14:30 Lunch (included).
- 15:00 to 18:30 Lessons.
Accommodation Package Schedule
- 19:00 Meeting point in Plaza Catalunya (Barcelona) to take the bus to Els Hostalets de Pierola. If you are planning to arrive later, you can find more information in How to get there.
- 20:00 Registration in the Hotel.
- 20:30 Dinner.
- Monday to Thursday:
- 8:00 to 9:00 Breakfast.
- 20:30 Dinner.
- 8:00 to 9:00 Breakfast.
- 18:30 Meeting point in the Hotel to take the bus to Barcelona city.
- 20:00 Arrival to Plaza Catalunya (Barcelona).
The schedule is approximate; it is possible that the content of one day may run into the next and a working day may be longer than advertised.
Former participants will have a 5 % discount on the Course Fee.
Furthermore, a 20 % discount on the Course Fee is offered for members of some organizations (Organizations with discount). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
Unemployed scientists living in Spain, as well as PhD students based in Spain without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict inscription order.
Discounts are not cumulative and apply only on the fee, not to Accommodation Package or other options.
Thanks to the donations of former participants, this year there are scholarships available for PhD students. The scholarships are in the form of tuition fee waivers only, they do not cover travelling and lodging.
Previous editions of this course
1st Edition, June 5th-9th, 2017
- United Kingdom: University of Manchester, Royal Botanic Gardens – Kew, Liverpool John Moores University, University of St Andrews, University of Cambridge.
- Switzerland: University of Zurich, Swiss Federal Institute of Aquatic Science and Technology – Eawag.
- Portugal: Instituto de Ciências e Tecnologias Agroambiente da Universidade do Porto, Centro de Investigação em Biodiversidade e Recursos Genéticos – CIBIO-InBIO.
- Austria: University of Innsbruck, Institute of Science and Technology, University of Vienna.
- Spain: Universitat de Barcelona, Universidad Rey Juan Carlos, Estación Biológica de Doñana – CSIC, University of Santiago de Compostela.
- United States of America: The Ohio State University, University of Maine.
- France: French National Research Institute for Sustainable Development.