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Invasions: From Patterns to Impacts and Management

From 14 Feb 2024 until 16 Feb 2024 - BIOPOLIS-CIBIO, Vairão, Portugal (Face-to-face)
Invasions: From Patterns to Impacts and Management
With the rapid expansion of invasive alien species, accurate and timely distribution data is critical to support successful management strategies. However, it is not easy for researchers (technicians) to obtain data for all invasive alien species and territories using traditional techniques. In this context novel tecnhiques of data acquisition (e.g. UAVs, Remote Sensing) coupled with state of the art modelling techniques (e.g. static, dynamic and hybrid models) can be coupled in order to optimize surveillance efforts. Together with social media information IAS impacts can be determined and management optimized.
The skills that will be provided by this course are:
• Theoretical basis of invasion ecology; 
• Introduction to Static (Habitat distribution model) and Hybrid (Stochastic-dynamic models) modelling techniques;
• Basics of social media analytics;
• Basic procedures in R software and statistical programming; 
• General application of R modelling packages (e.g. biomod2);
• Spatial analyses of ecological and environmental data;
• Spatial analyses of ecological and environmental data;
• Species mapping using Unmanned Aerial Vehicles;
• Environmental/biophysical variables for models obtained from remote sensing data  products and Unmanned Aerial Vehicles.
The official language of the course will be English. The course is developed for students and researchers at early stage of their career. Atendees 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.
Participants should preferably use their own laptops for the course and will be asked to install R software 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.

PROGRAM (18 hours)
Day 01 | February 14, 2024
| 10:00-13:00
LECTURE - Applications of satellite and UAS very-high resolution imagery for Invasive Alien Species mapping and surveying
| 14:00-17:00
PRACTICALS – Aerophotogrammetry using UAV’s for remote sensing of plant invaded sites – field session (I) and room session (II)

Day 02 | February 15, 2024
| 10:00-13:00
LECTURE - Introduction to Habitat Distribution Models – the examples of the biomod2 R package 
PRACTICALS - biomod2 –Assessing the spatial conflict between an invasive alien tree and a rare plant species under current and future environmental conditions
| 14:00-17:00
LECTURE - The Stochastic Dynamic Methodology (StDM)
PRACTICALS – StDM modelling development and applications

Day 03 | February 16, 2024
| 10:00-13:00
LECTURE - Alien invasive species and social media
PRACTICALS - Setting the scene: gathering social media and citizen science data to support modelling procedures and impact evaluation
| 14:00-17:00
Mini - LECTURE Management of Invasive Alien Species 
PRACTICALS – Hands on - managing alien invasive tree species on CIBIO campus using hand pulling and debarking methods

Joana Vicente  (Coordinator) | BIOPOLIS/CIBIO - InvasionS 
Rita Bastos (Coordinator) | BIOPOLIS/CIBIO - InvasionS 
Renato Henriques | DCT-UM
Ana Sofia Cardoso | BIOPOLIS/CIBIO

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

65€ (students) | 100€ (other participants)
CIBIO-InBIO members will have an additional discount of 20%
Participation is free of charge for BIODIV Students MBGE 1st year Students & CIBIO's TwinLabs 
Registration fees do not include accommodation or meals

No ECTS credits are awarded for attending the course. Participants receive a certificate of attendance without quantitative evaluation

Application deadline: December 31, 2023

To apply, please fill the form available HERE

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