Advanced Ecological Niche Modelling
Event
13 - 17 February 2023
Ecological niche models (ENM), and/or species distribution models (SDM), are a series of computer algorithms designed to predict the distribution of species in geographic space based on a mathematical representation of their distribution in the environmental space. This course follows the previous course on "Introduction to Ecological Niche Modelling" and it delves into more advanced aspects of ENM, such as ensemble modelling, niche comparison with null hypothesis testing, and mechanistic models.
PROGRAM (30 hours)
Day 02 | February 14, 2023
Day 03 | February 15, 2023
Day 04 | February 16, 2023
February 13th, 2023
BIOPOLIS-CIBIO, Vairão, Portugal (Face-to-face)
13 - 17 February 2023
Ecological niche models (ENM), and/or species distribution models (SDM), are a series of computer algorithms designed to predict the distribution of species in geographic space based on a mathematical representation of their distribution in the environmental space. This course follows the previous course on "Introduction to Ecological Niche Modelling" and it delves into more advanced aspects of ENM, such as ensemble modelling, niche comparison with null hypothesis testing, and mechanistic models.
PROGRAM (30 hours)
Day 01 | February 13, 2023
| 9:45-13:00
Overview of ecological niche modelling
Ensemble modelling
| 14:00-17:45
Practice – Import and format data
Practice – Run models. Example with multimodelling platforms
Overview of ecological niche modelling
Ensemble modelling
| 14:00-17:45
Practice – Import and format data
Practice – Run models. Example with multimodelling platforms
Day 02 | February 14, 2023
| 9:45-13:00
Model performance – Diversity of metrics
Model comparison – Null hypothesis testing
| 14:00-17:45
Practice – Model performance metrics
Practice – Niche comparison tests
Model performance – Diversity of metrics
Model comparison – Null hypothesis testing
| 14:00-17:45
Practice – Model performance metrics
Practice – Niche comparison tests
Day 03 | February 15, 2023
| 9:45-13:00
Projection in time (past, future)
Projection in space
| 14:00-17:45
Practice – model projection
Practice – dissimilarity surfaces
Projection in time (past, future)
Projection in space
| 14:00-17:45
Practice – model projection
Practice – dissimilarity surfaces
Day 04 | February 16, 2023
| 9:45-13:00
Mechanistic and hybrid models
| 14:00-17:45
Practice – mechanistic / hybrid models
Mechanistic and hybrid models
| 14:00-17:45
Practice – mechanistic / hybrid models
Day 05 | February 17, 2023
| 9:45-13:00
Students' presentations and evaluations. Other topics and questions.
Students' presentations and evaluations. Other topics and questions.
COURSE INSTRUCTORS
Fernando Martínez Freiría (Coordinator) | BIOPOLIS/CIBIO-InBIO
Pedro Tarroso | BIOPOLIS/CIBIO-InBIO
Ana Márcia Barbosa
Urtzi Enríquez Urzelai | Institute of Vertebrate Biology - Czech Academy of Sciences
ADMISSION REQUIREMENTS
Students should have previously attended the course "Introduction to Ecological Niche Modelling". Alternatively, they should have basic knowledge of ENM and be experienced with R coding and spatial data handling.
SELECTION CRITERIA
The course will be open to a maximum number of 20 participants.
75% of available student slots are reserved for BIODIV students.
Priority will be given to:
• 1st year and other PhD students attending the BIODIV Doctoral Program;
• PhD students attending other courses;
• Other post-graduate students and researchers.
REGISTRATION
95€ (students) | 200€ (other participants). CIBIO-InBIO members will have an additional discount of 20%
Participation is free of charge for MBGE, BIODIV Students & CIBIO's TwinLabs
Participation is free of charge for MBGE, BIODIV Students & CIBIO's TwinLabs
Registration fees do not include accommodation or meals
Registration deadline extended: January 31, 2023