Functional ecology from organism to ecosystem: theory and computation (FEER01)
26 November 2018 - 30 November 2018£275.00 - £510.00
The course will describe different aspects and methods in the field of functional ecology, combining theoretical lessons with hands-on real data. Lectures will provide the theoretical and mathematical basis for different applications of functional traits at organismal, community and ecosystem levels, with examples across different trophic levels. This will serve as a basis for exploring the practical tools to connect the effect of land-use and climate change on biodiversity to the effect of biodiversity on to multiple ecosystem functions and ecological services. An overview of existing computational methods, including recent developments authored by the lecturers, will be provided during the course and the students will learn how to apply them using functions and scripts run in R. Students are welcome to apply these tools to their own data, or use the data provided, to be analysed during the course while benefiting from advise by the lecturers. As such, compared to other courses given by the lectures, this is a slightly a more advanced and data oriented course which concentrates on detailed and practical aspects in functional traits related applications, especially computational ones. The aim of the course is to provide participants with a handy synthesis of existing concepts, tools and trends in functional ecology and guide them to apply these tools to their own field of interest. As the field of functional ecology is rapidly expanding, participants will be ready to exploit the potential of the main trait approaches.
Research postgraduates, practicing academics and primary investigators in population and community ecology working on a variety or organism type (plants, invertebrates, vertebrates) interested in evaluating changes in functional traits with environmental changes and the consequences for ecosystem functioning. The skills learnt can also be applied by management and environmental professionals in government and industry.
Venue – PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 30 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English
We offer COURSE ONLY and ACCOMMODATION PACKAGES;
• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Thursday evening, refreshments and accommodation. Self catering facilities are available in the accommodation. Accommodation is approx. a 6 minute walk form the PR statistics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 25th November (after 5pm) and departure Friday 30th November (accommodation must be vacated by 9am). An additional nights accommodation can be purchased, departure 9am Friday morning email for details.
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Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact firstname.lastname@example.org Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PRstatistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PRstatistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.
There will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practical’s based on the topics covered that morning. Data sets for computer practical’s will be provided by the instructors, but participants are welcome to bring their own data.
Assumed quantitative knowledge
A basic understanding of statistical concepts including statistical significance and hypothesis testing, and a familiarity in working with species, community, or ecosystem level data.
Assumed computer background
Familiarity with R. Ability to import/export data, manipulate data frames, fit basic statistical models & generate simple exploratory and diagnostic plots.
Equipment and software requirements
A laptop/personal computer with a working version or R and RStudio installed. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links.
It is essential that you come with all necessary software and packages already installed (you will be sent a list of packages prior to the course) internet access may not always be available.
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Meet at Flat 2/1, 43 Cook Street, Glasgow G5 8JN at approx. 17:00 onwards
Monday 26th – Classes from 09:30 to 17:30
• People’s traits game
• Introduction to functional ecology and key definitions
• Environmental filtering and related community metrics
• Overview on functional trait community metrics
• Practical with ‘community weighted mean’ and solution to potential biases
Tuesday 27th – Classes from 09:30 to 17:30
• Species level analyses
• Missing values and trait databases
• Functional diversity indices (alpha, beta and gamma diversity)
• Practical with functional diversity indices
Wednesday 28th – Classes from 09:30 to 17:30
• Trait evolution and the relevance of phylogenetic distance between species
• Phylogenetic corrections
• Combining functional and trait information
• Practical on phylogeny and traits
Thursday 29th – Classes from 09:30 to 17:30
• Community assembly: theory
• Community assembly: from species to community level analyses
• Practical on community assembly
Friday 30th – Classes from 09:30 to 16:00
• Effects of traits on ecosystem processes and services
• The trait sampling game
• Intraspecific trait variability: biological relevance and quantification
• Practical on intraspecific trait variability
The instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.Any questions or queries I’ve had, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.In addition the course was very well organised, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things, I’ve also had a very good time during the week there.” Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England
(Attended ADVR course)