ONLINE COURSE – Functional ecology from organism to ecosystem: theory
and computation (FEER02) This course will be delivered live

https://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/

13 September 2021 - 17 September 2021

TIME ZONE – UK local time (GMT+0) – however all sessions will be
recorded and made available allowing attendees from different time
zones to follow a day behind with an additional 1/2 days support after
the official course finish date (please email
oliverhoo...@prstatistics.com for full details or to discuss how we
can accommodate you).

Course Overview:

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.

The course will use examples from the instructors new book “Handbook
of Traitbased Ecology” a free copy will be supplied by PR statistics
(https://www.cambridge.org/core/books/handbook-of-traitbased-ecology/D79AC6C55CA7D3977AD297ED30A38EF0)

Intended Audience

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.

Instructors

Dr. Francesco de Bello
Dr. Lars Götzenberger
Dr. Carlos Carmona

Course Programme

Monday 13th – Classes from 09:30 to 17:30

Block 1
– Part 1 (interactive, all): Short intro to the course, Introduction
of lecturers and
students; then trait game (splitting into zoom groups, providing data through
Google sheets)
– Part 2 (lecture, Francesco): „Introduction to functional ecology and key
definitions”

Block 2 (Lars)
– Part 1 (lecture): „Response of species and communities to the environment
(filtering)“
– Part 2 (practical): R material Chapter 4
– Part 3 (practical): R material Chapter 5 CWM

Tuesday 14th – Classes from 09:30 to 17:30

Block 1 (all)
– Part 1 (interactive): Grime vs. Westoby (1h: 20 min prep, 40 min discussion;
students are grouped and instructed to read the paper at end of day 1)

Block 2 (Francesco)
– Part 1 (lecture): „Ecology of differences and trait offs”
– Part 2 (practical): R material Chapter 3

Block 3 (Francesco)
– Part 1 (lecture): „Functional diversity indices (alpha, beta (?))”
– Part 2 (practical): R material Chapter 5 FD + results trait game

Wednesday 15th – Classes from 09:30 to 17:30

Block 1 (Carlos)
– Part 1 (lecture): „Intraspecific trait variability: biological relevance and
quantification”
– Part 2 (practical): R material Chapter 6

Block 2 (Carlos or Francesco)
– Part 1 (lecture): “Response and effect trait framework” (probably including
intertrophic?)
– Part 2 (practical) R material Chapter 9
– Part 3 (practical) R material Chapter 10

Thursday 16th – Classes from 09:30 to 17:30

Block 1 (Carlos)
– Part 1 (lecture): „Community assembly rules and null models”
– Part 2 (practical): R material Chapter 7

Block 2 (Lars)
– Part 1 (lecture): „Trait standards, data bases, and missing data”
– Part 2 (practical): R material Chapter 2
– Part 3 (interactive): Trait sampling game

Friday 17th – Classes from 09:30 to 16:00

Block 1 (Lars)
– Part 1 (lecture): „Traits and phylogeny”
– Part 2 (practical): R material Chapter 8

Reserve time for 1 on 1 talks, if wanted by students?

Email oliverhoo...@prstatistics.com

Missing Data Analytics (MDAR01)
www.prstatistics.com/course/online-course-missing-data-analytics-mdar01
8 September 2021 - 10 September 2021

Functional ecology from organism to ecosystem: theory and computation (FEER02)
www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/
13 September 2021 - 17 September 2021

Meta-analysis in ecology, evolution and environmental sciences (METR02)
www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/
13 September 2021 - 17 September 2021

Species Distribution Modeling using R (SDMR04)
www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/
21 September 2021 - 30 September 2021

Multivariate analysis of ecological communities in R with the VEGAN
package (VGNR03)
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/
4 October 2021 - 8 October

Introduction to Data Wrangling and Data Visualization using R (DWDV01)
www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/
4 October 2021 - 8 October 2021

Species distribution modelling with Bayesian statistics in R (SDMB03)
www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/
6 December 2021 - 10 December 2021

Bayesian Data Analysis (BADA01)
https://www.prstatistics.com/course/bayesian-data-analysis-bada01/
10th January 2022 - 14th January 2022

Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08)
https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/
1st February 2022 - 4th February 2022

--
Oliver Hooker PhD.
PR statistics

2020 publications;
Parallelism in eco-morphology and gene expression despite variable
evolutionary and genomic backgrounds in a Holarctic fish. PLOS
GENETICS (2020). IN PRESS

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