Skip to content

Latest commit

 

History

History
67 lines (48 loc) · 1.57 KB

README.md

File metadata and controls

67 lines (48 loc) · 1.57 KB

Practical Introduction to Species Distribution Models

Species Distribution Modelling course organized by the Research School for Ecology, Biodiversity and the Environment, University of Stockholm.

Instructor: Blas M. Benito.

Session 1

  • Introduction to Species Distribution Models (SDMs)

  • What is a model?

  • The geographic distribution of species

  • Ecological niches

  • Species Distribution Models

  • The modelling workflow

    • Theoretical formulation
    • Presence records
    • Environmental predictors
    • Viability analysis of the input data
    • Modelling algorithms
    • Parameters
    • Evaluation
    • Model post-processing and analysis
    • Interpretation of results
  • Applications of SDMs

  • Limitations of SDMs

  • Getting started!

    • Required tools (computer programs)
    • Preparing presence records
    • Getting environmental predictors ready

Session 2

  • Calibrating SDMs with different algorithms: theory and practice

    • GLM
    • GAM
    • Classification and regression trees
    • Artificial Neural Networks
    • Random Forest
    • Maxent
  • Evaluating SDMs

  • Projection of SDMs over space and time

Session 3

  • Practical workshop
    • Workshop dynamics
    • Study cases
    • Formation of working teams
    • Students work on the study cases assisted by the instructor

Session 4

  • Practical workshop (continued)

    • Oral presentation of results by each team and open discussion
  • Dynamic Species Distribution Models

    • Theoretical principles
    • Simple example with R
  • Final discussion