Subject: Course: Macroecology in R: Exploring Biodiversity Patterns at Large Scales, online, June 2025
Soledad De Esteban Trivigno
Dear colleagues,
Transmitting Science is offering a new course that may be of interest: “Macroecology in R: Exploring Biodiversity Patterns at Large Scales.”
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. It combines historical components of geographic patterns, phylogenies, and ecology to provide a comprehensive overview of evolutionary macroecology.
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 cou...@transmittingscience.com
Best wishes
Sole