Dear colleagues,

Transmitting Science is offering a new course that may be of interest:
"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@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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