30 May 02 Jun
From May 30, until June 02, 2022 - CIBIO-InBIO, Vairão, Portugal
University of Porto
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MODELS IN INVASION ECOLOGY: CHALLENGES AND APPLICATIONS
MODELS IN INVASION ECOLOGY: CHALLENGES AND APPLICATIONS

From May 30, until June 02, 2022 - CIBIO-InBIO, Vairão, Portugal
(The course will take place in a classroom context)
Registration deadline extended: May 10, 2022

SHORT DESCRIPTION AND OBJECTIVES:

Modelling invasive species distribution

This course will be coordinated by Joana Vicente, A. Sofia Vaz (CIBIO) and Quentin Groom (co-chair of the COST Action CSI).

Objectives and skills that will be provided

  • Invasion ecology;
  • Different modelling techniques, namely:

Habitat Suitability modelling, Stochastic dynamic modelling, Multivariate modelling;

  • Introduction to R software and statistical programming;
  • Spatial analyses of ecological and environmental data;
  • Species mapping using Unmanned Aerial Vehicles.

 
PROGRAMME/ SCHEDULE (updated on April 26, 2022)

30th of May

10:30-10:45 |Welcome message  

10:45-11:45 | LECTURE - Theory, concepts, assumptions, and principles of biodiversity models (by Joana Vicente)

11:45-12:00 | Break

12:00-13:00 | LECTURE – Alien invasive species: patterns, processes, and impacts (by João Honrado) 

13:00–14:00 | Lunch

14:00–14:45 | LECTURE – Down on earth and up in the sky – applications of satellite and UAV very-high resolution imagery for invasion mapping and surveying (by João Gonçalves & Renato Henriques)

14:45–16:15 | PRACTICALS (PART I) – Aerophotogrammetry using UAV’s for remote sensing of plant invaded sites - field session (by Renato Henriques, João Gonçalves & Nuno Mouta) 

16:15–16:30 | Break

16:30–17:45 | PRACTICALS (PART II) – Aerophotogrammetry using UAV’s for remote sensing of plant invaded sites - room session (by Renato Henriques, João Gonçalves & Nuno Mouta) 

31st of May

10:00-10:45 | LECTURE – Applying multivariate models in invasion ecology (by Ana Sofia Vaz, Joana Vicente & Eva Pinto) 

10:45-11:00 | Break

11:00–13:00 | PRACTICALS – Multivariate statistics in R (by Ana Sofia Vaz & Eva Pinto)

13:00–14:00 | Lunch

14:00-14:45 | LECTURE – Habitat Distribution Models (by Joana Vicente)

14:45–15:00 | Break

15:00-17:00 PRACTICALS (PART I) – HDMs – Introduction into spatial modelling of ecological niches of alien invader species (by Joana Vicente, João Gonçalves & Eva Pinto) 

1st of June

10:00-11:30 | PRACTICALS (PART II) – HDMs – Introduction into spatial modelling of ecological niches of alien invader species (by Joana Vicente, João Gonçalves & Eva Pinto)

11:30-11:45 | Break

11:45–12:30 | LECTURE - The Stochastic Dynamic Methodology (StDM) - Towards spatially dynamic tools for local conservation and forest planning (by Rita Bastos)

12:30–13:30 | Lunch

13:30–15:00 | PRACTICALS (PART I) – The Stochastic Dynamic Methodology (StDM) - StDM fundamentals and description in practice (by Rita Bastos & Eva Pinto) 

15:00–15:15 | Break

15:15-17:00 | PRACTICALS (PART II) – The Stochastic Dynamic Methodology (StDM) - Demonstrative StDM modelling applications on the scope of alien tree distribution (by Rita Bastos & Eva Pinto) 


2nd of June - OPEN DAY https://youtu.be/mhnfHI5j3Qs

Morning

09:45-10:15 | LECTURE I - Detecting and accounting for biases in large ecological datasets (by Bernd Lenzner)

10:15-10:45 | LECTURE II - Creating workflows to process, standardise and integrate citizen science data (by Hanno Seebens)

10:45-11:15 | LECTURE III - How to include non-professional taxonomic experts in the scientific process (by Lien Reyserhove)

11:15–11:30 | Break

11:30-12:00 | LECTURE IV - Engaging Citizen Scientists into spotting, reporting and understanding aquatic Alien Species (by Elena Tricarico)

12:00-12:30 | LECTURE V - Using open data from citizen science platforms to inform invasion science and policy (by Tim Adriaens)

12:30–14:00 | Lunch

Afternoon:

14:00-14:30 | Lecture IV - Bioblitzes: Not just a bit of fun (by Quentin Groom)

14:30 - 17:00 | PRACTICALS - Designing a project to understand, monitor and model invasive species through citizen science (by the Alien CSI team)

Hours: 24


IMPORTANT ADDITIONAL INFORMATION

The course will be taught in English.

The course is developed for students and researchers at early stage of their career. They are not expected to have advanced experience with programming and statistics but should be interested in getting a broader view of modelling options.

No previous knowledge about R is required.

Students should preferably use their own laptops for the course. Students are required to install R in their laptops prior to the course. The necessary instructions to perform this task will send by email one week prior to the start of the course.

A document with an extended summary of the lessons contents and bibliography will be delivered by email to the students one week prior to the start of the course.


COURSE INSTRUCTORS

Joana Vicente | CIBIO/INBIO | InvasionS

Ana Sofia Vaz | CIBIO/INBIO | InvasionS

Eva Pinto | CIBIO/INBIO | InvasionS

Rita Bastos | CIBIO/INBIO | InvasionS

João Honrado
 | CIBIO/INBIO | ECOCHANGE

João Gonçalves | CIBIO/INBIO | ECOCHANGE

João Alexandre Cabral | Universidade de Trás-os-Montes e Alto Douro

Mário Santos | Universidade de Trás-os-Montes e Alto Douro

Nuno Mouta | Escola Superior Agrária de Ponte de Lima

Renato Henriques | Universidade do Minho

Alien CSI team | https://alien-csi.eu 

INTENDED AUDIENCE

The course will be open to a maximum number of 15 participants.


SELECTION CRITERIA

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.


APPLICATIONS DATES

Registration deadline extended: May 10, 2022
All applicants will be notified about whether they are accepted until May 13, 2022


REGISTRATION

Participation is free of charge for BIODIV students | 80€ (students) | 150€ (other participants). CIBIO-InBIO members will have an additional discount of 20%
.

Please note the rules apply for all BIODIV students