Sat, 04 Nov|
Participation can be presencial or online.
9th edition of the Species Distributions Modelling course
7-days course will take through all steps involved in building and testing models of species distribution in space and time
Time & Location
04 Nov, 09:00 WET – 10 Nov, 16:00 WET
Participation can be presencial or online.
About the Event
Science Retreats organises the 9th edition of the course “Species distributions models: concepts, methods, applications, and challenges”.
This is a highly successful international course that introduces the fundamental concepts underpinning ecological niche models (ENM), describing some of the most prominent methods currently in use, and discussing the strengths and limitations of these models for different applications.
The course gives equal weight to theory and application. The students will have the opportunity to learn how to run ENM with the SDM R platform (Naimi & Araújo 2016 Ecography) and they will be asked to bring their own data (if such data are not available we can provide our own data). During one day the students will analyse their data and prepare a small report for discussion in the class.
The course started at the Imperial College London (2014) with the following editions undettaken in Évora every year since 2015. It also builds on slightly shorter courses developed by Miguel Araújo at the University of Copenhagen and the Estación Biologica de Doñana (CSIC).
In the end of the course, our aim is that students will be equipped to:
1. Understand the theoretical underpinnings of ecological niche models
2. Understand the strengths and limitations of ecological niche models in the context of different uses
3. Be able to correctly design an ecological niche modelling study for a variety of uses
4. Get started with ecological niche modelling using SDM R.
Course length and ECTS
The course is equivalent to 5,6 ECTS (European Credit Transfer System), assuming the rule of 10:1, which means that 1 course lesson (=1 hour) gives 0.1 ECTS credits, taking a preparation factor of 1.5. Participants who have completed the course will receive a certificate of participation at the end of it.
Some experience in the computer language R is desirable, and experience with GIS is helpful. All participants must bring their own personal laptop.
The course accepts a maximum of 20 students.
Fees and funding
The standard fees include full participation in the course and course material, provision of a certificate of attendance, half-board accommodation at Casa Morgado Esporão for up to 6 nights including breakfast, lunch and coffee breaks (offering assortment of coffees, teas, fruit juices and cookies). Although we encourage presential participation to the course (a full experience to the course includes on site interaction among students and lecturers), during the COVID pandemic requests were done by several students for online participation. This is now possible at a slightly reduced price.
Unfortunately we have no scholarships on offer. We do offer a limited number of early bird discounts and shared accommodation is provided for those with more limited budgets.
If you wish to cancel your participation in this course, cancellations up to 60 days before the course start date will incur a 40% cancellation fee. For later cancellations, or non-attendance, the full course fee will be charged.
In the unlikely event that the course is cancelled due to unforeseen circumstances, accepted candidates will either be entitled to a full refund of the course fee, or the fee can be credited toward a future course. Should the course be cancelled due to COVID-19 formal state of alarm, either in Portugal or your country of residence, the registration fee will be returned in full.
The organisation is not responsible for travel costs, or any other expenses incurred by the candidate as a result of such cancellation. Every effort will be made to avoid the cancellation of the planned course.
The course fee include full participation in the course, provision of course material (including pdfs of all lectures, and R tutorials), the certificate of participation, half-board accommodation at Casa Morgado Esporão (from Monday 7th to Sunday 13th), as well as daily coffee breaks (offering assortment of coffees, teas, fruit juices and cookies).
For any additional informations about the course, please contact us at "scienceretreats" "at" "gmail" "dot" "com".
The course fee include full participation in the course, provision of course material (including pdfs of all lectures, and R tutorials), the certificate of participation, half-board accommodation at Casa Morgado Esporão (from Monday 7th to Sunday), as well as daily coffee breaks (offering assortment of coffees, teas, fruit juices and cookies).
Miguel Araújo is a Research Professor of the Spanish National Research Council (CSIC) and Professor at the University of Évora. Previously, he held faculty or research positions at the Imperial College London, the University of Copenhagen, the University of Oxford, the CNRS, and the Natural History Museum in London. He also served as Editor-in-Chief of Ecography. Miguel Araújo has a wide range of interests in biogeography, conservation planning, global change biology, and macroecology.
Babak Naimi is a Research Associate at the University of Évora. His research interests revolve around spatiotemporal statistics, environmental modelling, and the interface between geo-informatics and biogeography. He is currently working on developing new methods for species distribution modelling under climate change and land use change scenarios to improve their ability for understanding ecological processes associated with the patterns in species distributions as well as to deal with the challenges in the methods.
Early bird & shared occupancy
First four registrations made in shared occupancy. Shared apartment with other participant is assumed.
early bird & single occupancy
First two registrations for single occupancy. Single occupancy of double room, studio or 1-bed room apartment assumed.
standard & shared occupancy
Shared apartment with other participant is assumed.
Standard & single occupancy
Single occupancy of double room, studio or apartment assumed.
Online participation on the course.