Species Distribution Modelling course organized by the Research School for Ecology, Biodiversity and the Environment, University of Stockholm.
Instructor: Blas M. Benito.
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Introduction to Species Distribution Models (SDMs)
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What is a model?
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The geographic distribution of species
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Ecological niches
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Species Distribution Models
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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
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Applications of SDMs
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Limitations of SDMs
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Getting started!
- Required tools (computer programs)
- Preparing presence records
- Getting environmental predictors ready
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Calibrating SDMs with different algorithms: theory and practice
- GLM
- GAM
- Classification and regression trees
- Artificial Neural Networks
- Random Forest
- Maxent
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Evaluating SDMs
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Projection of SDMs over space and time
- Practical workshop
- Workshop dynamics
- Study cases
- Formation of working teams
- Students work on the study cases assisted by the instructor
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Practical workshop (continued)
- Oral presentation of results by each team and open discussion
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Dynamic Species Distribution Models
- Theoretical principles
- Simple example with R
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Final discussion