Training Workshop:

EURO-BASIN will organise and co-fund three short training workshops, and two biennnual summer schools between 2010-2014. Details and elligibility below. Sign up for email alerts for application deadlines.

EURO-BASIN Training Workshop on Introduction to statistical modelling tools, for habitat models development

- Lecturers - Programme - Attendees - Criteria - ONE CLICK download -

Venue & Dates: AZTI-Tecnalia, Pasaia, Spain & 26-28 October 2011
Objective: The training is designed for candidates with basic statistical knowledge, and will provide an introduction to habitat modelling for zooplankton and fish in the North Atlantic. Participants should come out from the workshop with the capacity to apply basic statistical techniques to their own data.

Lecturers: Guillem Chust, Benjamin Planque, J. Fernandes, I. Galparsoro, L. Ibaibarriaga

GUILLEM CHUST holds a PhD from the University of Paul Sabatier (France, 2002). He did his PhD thesis at the Centre d'Etudes Spatiales de la Biosphère (CNES, CNRS), specialising in the processing of satellite data for its application in cartography, detection of habitat change and the modelling of animal and plant biodiversity. His research concentrates in two main areas: the study of the effects of climate change on coastal and estuary zones, and the application of remote sensors in marine ecology.

BENJAMIN PLANQUE holds a PhD from the University Pierre et Marie Curie (France, 1996). He did his PhD thesis on the spatial and temporal fluctuations of Calanus populations in the North Atlantic. His research has focussed on spatial and temporal fluctuations of zooplankton, ichtyoplankton and fish in relation to environment and fishing. He holds a research position at the IMR, Tromsø (Norway) where he works on the ecology of redfish and coordinates the BarEcoRe project on the resilience of the Barents Sea ecosystem.

LEIRE IBAIBARRIAGA is a senior researcher in the Pelagic Fish and Fisheries in the Marine Research Division of AZTI Tecnalia. She holds an MsC in Statistics from the University of St Andrews (UK) and she is currently conducting her PhD on Bayesian population models for the Bay of Biscay anchovy at Lancaster University (UK). Her main interests are statistical modelling, fish population dynamics models, management strategies evaluation and Bayesian state space models. She has experience in applying GAMs for fish habitat characterization.

JOSE ANTONIO FERNANDES SALVADOR has a Ph.D. in the field of Supervised Classification applied to fisheries research, mainly in plankton automatic classification and probabilistic forecasting (AZTI-Tecnalia/University of Basque Country). He performs robust evaluation and selection of modelling methodologies, and is currently at University of East Anglia (UK) working on bio-climate envelop models and integration of different models for long-term forecasting in the EURO-BASIN project. Profile & publications list

Programme (download):

Day one (Wednesday, 26 October):
09:00-09:30 Welcome
09:30-10:00 Data Management and Integration within EURO-BASIN (J. Felden)
10:00-11:00 Predictive habitat distribution models: An Introduction (L. Ibaibarriaga)
Coffee break
11:30-13:00 A brief introduction to GIS tools (I. Galparsoro)
Lunch
14:30-15:00 Short introduction to R (L. Ibaibarriaga)
15:00-17:00 Modelling the spatial distribution of fish: some key concepts and an application. Part 1 (B. Planque)

Day two (Thursday, 27 October):
09:00-11:00 Modelling the spatial distribution of fish: R Practical. Part 2 (B. Planque)
Coffee break
11:30-13:00 Model Validation, performance measures, models comparison and Weka (open source software for data mining). Part 1 (J. Fernandes)
Lunch
14:30-17:00 Model Validation, performance measures, models comparison and Weka (open source software for data mining). Part 2 (J. Fernandes)

Day three (Friday, 28 October):
09:00-11:00 An example of a self contained package, BIOMAPPER (I. Galparsoro)
Coffee break
11:30-13:00 Habitat modelling at community level (Guillem Chust)
Lunch
14:30-16:00 Community Ecology with R (Guillem Chust, R files, R manuals & relevant literature)
16:00-17:00 Open session: questions and working with own data

Software (to be installed before arriving):

It would be advisable that participants bring their own data for practice, and instal the following software before the workshop:

R (http://cran.r-project.org/bin/windows/base/) R manuals & R practical files
WEKA (http://www.cs.waikato.ac.nz/ml/weka/)
BIOMAPPER (http://www2.unil.ch/biomapper/products.html)
QUANTUM GIS (http://www.qgis.org/)

Publications relevant to the course:

• Elith and Leathwick 2009. Species Distribution Models: Ecological Explanation and Prediction Across Space and Time, Annu. Rev. Ecol. Evol. Syst. 2009.40:677-697
  Manuscript & Supplementary material
  
  
• Planque, B., Loots, C., Petitgas, P., Lindstrøm, U., and Vaz, S. 2011. Understanding what controls the spatial distribution of fish populations using a multi-model approach. Fisheries Oceanography, 20: 1-17.
  open access manuscript; Publishers manuscript
  
  
• Planque, B., Bellier, E., and Loots, C. 2011. Uncertainties in projecting spatial distributions of marine populations. ICES Journal of Marine Science, 68: 1045-1050.
  Publisher`s manuscript
  
  
• Hastie, T., Tibshirani, R. J., and Friedman, J. H. 2001. The Elements of Statistical Learning, Springer-Verlag, New York.
  open access manuscript;
• Burnham, K. P., and Anderson, D. R. 2002. Model selection and multimodel inference: a practical information-theoretic approach, Springer, New York.
  

Attendees:

Selection criteria:
Priority to EURO-BASIN Contributors to WP3, WP5 and WP7 (but open to all BASIN-related projects & North American participants). Maximum 20 participants. No workshop fees, but travel and living expenses covered by participants (selected EURO-BASIN participants can use the projects funds for attendance). Interested applicants should email to euro-basin@aqua.dtu.dk (subject: EURO-BASIN ISM Training Workshop + YOUR NAME) with SINGLE PDF including a CV and max. of 250 words on the following points:

(1) Relevant experience on statistical habitat modelling (short paragraph) ;
(2) Current involvement in the BASIN/EURO-BASIN programs with reference to Tasks or research teams involved (short paragraph) ;
(3) How could the training facilitate the specific research tasks you are involved in (short paragraph)?

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