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ONLINE COURSE – Trait based ecology Using R: Theory and Practice (TBER01) This course will be delivered live

16th January 2023 - 6th March 2023

£500.00
ONLINE COURSE – Trait based ecology Using R: Theory and Practice (TBER01) This course will be delivered live
Event Date

Monday, January 16th, 2022

Course Format

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

Time Zone

TIME ZONE – GMT – however all sessions will be recorded and made available allowing attendees from different time zones to follow.

Please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).

About This Course

This course introduces the participants to the main concepts and methods of trait-based ecology. While traits have been used in ecology for a long time, an approach explicitly based on traits has been increasingly introduced to almost all aspects of ecological research in the last two decades. In particular, since the early 2000s, methodological developments have really flourished, up to a point that it is hard to keep track of such developments. In this course, we will combine lectures providing an overview of the main principles and methods of trait-based ecology with practices using the statistical software R, so that participants will acquire a knowledge of available R packages and customized functions, and how to use them in the context of trait-based analyses. The course will span methods taking both species-level and community-level perspectives that can be applied to a large variety of organisms. Additional practical aspects that will be covered include the choice of the “right” traits for a given study, what to consider when using trait data from data bases, and how to design and optimize your own trait sampling campaign. The course is largely based on the book recently published by Cambridge University Press “Handbook of Trait-Based Ecology: From Theory to R Tools” and the accompanying R material. The book is not required for course participation.

 

 

Intended Audiences

Master and PhD students, as well as post docs and established researchers new to the topic, who are at the start of their own trajectory in trait-based ecological research.

Venue

Delivered remotely

Course Details

Time zone – GMT

Availability – 30 places

Duration – 8 days (4 hours per day, one day per week, for 8 weeks)

Contact hours – Approx. 32 hours

ECT’s – Equal to 3 ECT’s

Language – English

 

Teaching Format

The course will consist in 1 teaching block per week, for 8 weeks. Each block will consist of approximately 3.5 hours of interactive live online sessions (at xx:xx GMT time), which will include theoretical lectures, discussion, and demonstrations of R code of selected packages and functions and approximately 4 hours of practical’s that each participant will do on their own schedule / time zone, based on annotated self-explanatory R scripts. The instructor will be available for questions and help during Western European working hours and a bit beyond that, depending on the participants’ time zones. Data sets and R codes for practicals will be provided, so that participants can repeat and extend the methods demonstrated during the lectures, at their own convenience.

 

 

Assumed quantitative knowledge

A basic knowledge of uni- and multivariate statistical analyses is assumed (correlation, simple regression models, unconstrained and constrained ordination, e.g. PCA, RDA). Without such knowledge the course can probably be followed for most parts, but the practicals will be much less efficient for the student.

Assumed computer background

Participants should have basic experience in working with the R statistical environment, preferably in connection with the R studio interface. They should be familiar with importing data to R, installing and loading packages, and basic plot functions.

Equipment and software requirements

A laptop computer with a working version of R or RStudio is required. R and RStudio are both available as free and open source software for PCs, Macs, and Linux computers. R may be downloaded by following the links here https://www.r-project.org/. RStudio may be downloaded by following the links here: https://www.rstudio.com/.

All the R packages that we will use in this course will be possible to download and install during the workshop itself as and when they are needed, and a full list of required packages will be made available to all attendees prior to the course.

A working webcam is desirable for enhanced interactivity during the live sessions, we encourage attendees to keep their cameras on during live zoom sessions.

Although not strictly required, using a large monitor or preferably even a second monitor will improve he learning experience

 

Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
TBER01 ONLINE
TBER01 ONLINE
£ 500.00
Unlimited

PLEASE READ – 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 oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.

If you are unsure about course suitability, please get in touch by email to find out more oliverhooker@prstatistics.com

COURSE PROGRAMME

Monday 16th January
Classes from 10:30 to 14:30
Instructor Francesco Bello

Theory
Introduction, definitions, response and effect, functional groups, trade-offs, Gower distance.

Practical
People’s trait game
Gower distance

Monday 23rd January
Classes from 10:30 to 14:30
Instructor Francesco Bello

Theory
Community Weighted Mean (CWM) and Functional Diversity (FD)

Practical
CWM & FD

Monday 30th January
Classes from 10:30 to 14:30
Instructor Lars Götzenberger

Theory
Response traits and environmental filtering

Practical
Kleyer appendix

Monday 6th February
Classes from 10:30 to 14:30
Instructor Carlos Pérez Carmona

Theory
Community assembly

Practical
Basics of null-models

Monday 13th February
Classes from 10:30 to 14:30
Instructor Matty Berg & Carlos Pérez Carmona

Theory
Intraspecific trait variability

Practical
Trait overlap (trova), Trait variance, CWM flex anova

Monday 20th February
Classes from 10:30 to 14:30
Instructor Lars Götzenberger

Theory
Phylogeny

Practical
Conservatism, Phylogenetic diversity, PICs

Monday 27th February
Classes from 10:30 to 14:30
Instructor Marco Moretti & Francesco Bello

Theory
Response & Effect traits

Practical
Selection/Complementarity, Lautaret, multitrophic

Monday 6th March
Classes from 10:30 to 14:30
Instructor Lars Götzenberger & Carlos Pérez Carmona

Theory
Missing traits, databases, sampling traits

Practical
Databases extraction, sampling game, data imputation

Details

Start:
16th January 2023
End:
6th March 2023
Cost:
£500.00
Event Categories:
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Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
TBER01 ONLINE
TBER01 ONLINE
£ 500.00
Unlimited