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Modelling species distributions underclimate change
Provider: Faculty of Science

Activity no.: 5930-19-01-31
	Enrollment deadline: 26/08/2019

Date and time	26.08.2019, at: 09:00 - 30.08.2019, at: 16:00
Regular seats	15
ECTS credits	5.00

Contact person	David Bravo Nogues E-mail address: dnogues@sund.ku.dk

Enrolment Handling/Course Organiser	David Bravo Nogues E-mail address: dnogues@sund.ku.dk

Content Understanding biodiversity dynamics and species distributions under climate change is a core topic in ecology, evolutionary biology, conservation and global change biology. The course will cover theoretical aspects on species distribution under climate change from evolutionary to ecological scales. The course will cover also methodological aspects of Species Distribution Models, SDMs, hybrid SDM-population models and mechanistic models. Enrolment guidelines The course includes lectures, computer practical’s (BIOMOD), seminars based on paper discussions, and opportunities to discuss your PhD projects. You should expect some preparation for the course through background reading (~20 papers). Formal requirements Applicants should send a letter including an explanation about how the course will benefit their PhD project, a brief description of their PhD project and a short CV. Maximum 2 pages. Deadline for application is April 15. Send the applications to David Nogués-Bravo: dnogues@snm.ku.dk. This course is funded by the Faculty of Science. There is no registration fee but students will need to cover travelling and accommodation/food cost. A maximum of 15 applicants will be selected according to the relevance of their PhD project. Experience with R is required. Learning outcome •Ecological and evolutionary theory on species distributions and species niches •Lectures on a wide variety of species range models, from SDMs, to hybrid SDM-population models and mechanistic models •Methodological issues (calibration, forecasting, validation,etc) •Training in SDM software (BIOMOD) •Applications of SDMs, hybrid SDM-population models and process-based models models to a broad range of questions from global change biology to paleobiology

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