François Rigal
  • Home
  • CV
  • Projects
  • Publications
  • PEOPLE
  • TRAINING
  • R
  • Home
  • CV
  • Projects
  • Publications
  • PEOPLE
  • TRAINING
  • R

Université de Pau et des Pays de l'Adour

Theoretical and practical courses in biostatistics at the undergraduate (OUMOBIO II 1 & 2) and graduate levels (OUMOBIO III  and OUMOBIO IV).  
​

Advanced Courses cE3c 2017-2018 - University of Lisbon


Applied Methods in Community Ecology and Functional Ecology
​
This is a mostly practical course offering an overview on different community ecology and macroecological methods and softwares. These will include all steps of a research project, from the optimal sampling of communities to process inference from large-scale patterns of taxon, phylogenetic and functional diversity. Specific topics will be: (1) alpha, beta and gamma diversity; (2) sampling biodiversity in all dimensions; (3) estimating diversity from incomplete sampling; (4) partitioning beta diversity;  (5) species-abundance distributions; (6) introduction to phylogenetic and functional diversity and (7) community-assembly rules.
​
  • Lecturer(s) or Responsable(s): Paulo A. V. Borges & François Rigal (Azorean Biodiversity Group, cE3c, Univ. Pau)
  • Department Responsible: DCA - University of Azores
  • Data: June 18th, 2018 to June 22nd, 2018
  • Deadline for Applications: May 25th, 2018
  • Duration: 36 hours
  • Schedule: 9h-13h and 14h30-17h30 Monday-Thursday; 9h -13h and 14h30-18h30 Friday
  • Nº (min, max) Students: 10 - 20
  • Location: Departamento de Biologia Animal, Bloco C2, Faculdade de Ciências da Universidade de Lisboa, Campo Grande 1749-016 Lisboa - 

This course can have a recognition of 6 ECTs for FCUL PhD students enrolling in it as part of their first doctoral year. For students only requiring 5 ECTs recognized in their specific PhD programmes  the last 6 hours of the course are not mandatory and the certificate will be on "Topics in Applied methods in Community Ecology and Functional Ecology". 

Minimum formation: “Licenciatura” (bachelor) in Biology, Geography or related areas; (very) basic knowledge of R is required.

Directed to: PhD or MSc students in Ecology, Geography or related areas, and postdocs working in related topics.

Candidates should send a short CV and motivation letter explaining why they are interested in the course, including a brief description of their research projects. Send all information and requests to Paulo A. V. Borges (pborges@uac.pt).

General Plan
  • Partitioning diversity into independent alpha, beta and gamma components - basic concepts and software (Species Diversity, Richness IV and R).
  • Partitioning beta diversity - multiplicative vs. additive measures of beta diversity and replacement vs richness differences components. Applications in PARTITION and R.
  • Estimating diversity from incomplete sampling - algorithms and applications with EstimateS and R.
  • Conceptual bases of community assembly theory.
  • Conceptual bases of functional and phylogenetic approaches in community ecology.
  • Computing functional and phylogenetic diversity (overview of the different indices and different R packages available and introduction to null models)
  • Rarity and Species Abundance Distribution Models (SADs) with new applications in R.
  • Student’s case studies.
Photo
Powered by Create your own unique website with customizable templates.