[R-sig-eco] Evolutionary Macroecology in R: Exploring Biodiversity Patterns at Large Scales, online, June 2025

[Soledad De Esteban-Trivigno]

Dear colleagues,

There are a few slots available for the course: "Macroecology in R: 
Exploring Biodiversity Patterns at Large Scales."

It combines historical components of geographic patterns, phylogenies, 
and ecology to provide a comprehensive overview of evolutionary 
macroecology.

Places are limited to 16 participants.

Dates and schedule: Online live sessions from June 23rd to 27th, 2025, 
from 10:00-14:30 (Madrid time zone).

Course webpage: 
https://www.transmittingscience.com/courses/ecology/macroecology-in-r-exploring-biodiversity-patterns-at-large-scales/

COURSE OVERVIEW

This course provides a primer on Macroecology, focusing on geographic 
patterns of biodiversity and how those patterns are affected by species 
evolution and adaptation over time.

The course has a strong practical component in R. Students will learn to 
manipulate large geographic databases in R, grid-map biodiversity in 
various forms, conduct analyses of biogeographic regionalization 
incorporating evolutionary history, and estimate phylogenetic turnover 
and historical dispersal in geographic space. The practical sessions 
also cover common metrics in community phylogenetics and 
diversification, focusing on large geographic scales.

At the end of this course, participants will be able to:

  	* Generate geographic maps of biodiversity (species diversity, trait 
diversity, etc.).
  	* Use phylogenies to incorporate evolution into geographic patterns of 
diversity.
  	* Construct biogeographic regions while accounting for the 
evolutionary relationship of species.
  	* Map historical patterns of diversification, historical dispersal, 
and phylogenetic turnover.
  	* Calculate and map in-situ diversification, the age of assemblages, 
and new tip-based metrics of trait evolution.
  	* Associate geographic patterns of biodiversity with ecological 
predictors.
  	* Integrate tools of macroevolutionary dynamics, such as estimating 
ancestral areas and ancestral traits, with community phylogenetic 
metrics.

Several datasets will be provided to illustrate the application of these 
methods. Participants are encouraged to bring their own datasets to 
analyze and discuss with the instructor.

If you have any doubts or questions, do not hesitate to write to 
courses using transmittingscience.com

Best wishes

Sole

-- 
Soledad De Esteban-Trivigno, PhD
Director
Transmitting Science
www.transmittingscience.com/courses

Bluesky @soledeesteban.bsky.social
X @SoleDeEsteban
Orcid: https://orcid.org/0000-0002-2049-0890
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