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Introduction to eco-phylogenetics and comparative analyses using R (ECPH01R)

7th February 2025

£400.00
Introduction to eco-phylogenetics and comparative analyses using R (ECPH01R)

Course Format

Pre Recorded

About This Course

In this five day course, we provide an introduction to eco-phylogenetics and comparative analyses using R. We begin by providing an  overview on the use of phylogenies as a tool for evolutionary biologists and modern techniques to deal with large phylogenies and to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover some of the most relevant eco-phylogenetic analyses and provide examples from the community to themacro-ecological scale (day 2-3). Finally, we introduce a diversity of classic and modern phylogenetic comparative methods to consider the historical relationship of lineages in eco-evolutionary research, including models of trait evolution, analysis of clade diversification and the use of phylogenies in spatial distribution models among others (day 4-5).

Intended Audiences

This course is aimed at anyone who wishes to introduce into phylogenetic ecology and comparative analyses.

Course Details

Last Up-Dated – 11:02:2021

Duration – Approx. 30 hours

ECT’s – Equal to 3ECT’s

Language – English

Teaching Format

The course will be hands-on and workshop based. Throughout each day, there will be some introductory remarks for each new topic, introducing and explaining key concepts.

The course will take place online using Zoom. On each day, the live video broadcasts will
occur between (UK local time) at:
• 8:00am-10:00am
• 11:00pm-13:00pm
• 14:30pm-16:30pm

All sessions will be video recorded and made available to all attendees.

Assumed quantative knowledge

We will assume general familiarity with the very basics of statistics (e.g. summary statistics, distributions). As this is an introductory course, no phylogenetic background is required.

Assumed computer background

We will assume general familiarity with R elementary operations (e.g. package sourcing, data importing and exporting, object indexing) and some familiarity with programming in R (writing code).

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.
ECPH01R PRE RECORDED
ECPH01R PRE RECORDED
£ 400.00
Unlimited

PLEASE READ – CANCELLATION POLICY

Cancellations/refunds are accepted as long as the course materials have not been accessed,.

There is a 20% cancellation fee to cover administration and possible bank fess.

If you need to discuss cancelling please contact oliverhooker@prstatistics.com.

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

 

COURSE PROGRAMME

Day 1

Approx. 7 Hours

• Introduction and a brief phylogenetic primer. Basic terminology for non- phylogeneticists, phylogenetic inference (quick overview), phylogenies aevolutionary hypotheses.

• Working with phylogenies. Newick format and structure of the R phylo object. Elementary operations on phylogenies (pruning, resolving polytomies, sticking species). Visualizing large phylogenies.

• Building purpose-specific mega-trees from extant trees and incorporating phylogenetic uncertainty. Software phylocom, V.PhyloMaker, SUNPLIN and randtip R package.

 

Day 2

Approx. 7 Hours

• Introduction to the eco-phylogenetic framework, classical conception and posterior modifications.

• Phylogenetic alpha diversity (how much? how different? how regular?). Community data matrices, null models, applications to biodiversity conservation.

• Phylogenetic beta diversity. The turnover and nestedness component of beta diversity.

Day 3

Approx. 7 Hours

• Incorporating the exact branching pattern of phylogenies into eco-phylogenetic analyses.

• Spatial phylogenetics. RPD, RPE and CANEPE analysis.

• Overview of functional trait ecology. Functional richness, evenness and divergence.Community weighted means.

• Phylogenetic imputation of trait datasets. Bounding prediction uncertainty using evolutionary models. Phylogenies as a null model in ecology

Day 4

Approx. 7 Hours

  • The phylogenetic comparative method, from independent contrasts to sophisticated modelling.
  • Analyses of phylogenetic signal and models of evolution: rationale, common- practice, and new trends.
  • Correlated evolution and ancestral trait reconstruction.
  • Analyses of diversification, speciation and extinction rates in a geographic context.
Day 5

Approx. 7 Hours

  • The need to account for phylogenetic relationships in models.
  • Most common phylogenetic modelling approaches: PGLS, PGLMM, BayesianPMM.
  • Putting phylogenies in the geography: how to combine phylogenies with species distribution models.

Course Instructor

Dr. Mark Andrews

Coming Soon

Details

Date:
7th February 2025
Cost:
£400.00
Event Category:

Venue

Recorded
United Kingdom + Google Map

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.
ECPH01R PRE RECORDED
ECPH01R PRE RECORDED
£ 400.00
Unlimited