Ecological niche models in R


Berlin, 20-24 May 2019


Freie Universität Berlin- Berlin-Brandenburg Institute of Advanced Biodiversity Research – BBIB - Altensteinstr. 34, 14195 Berlin.

Course Overview

Ecological niche models (ENMs) are a fundamental tool for working in global change biology. Predicting species distributions is key for designing conservation and management plans that remain effective in the long run. Further, combining population genetics with maps of the species potential ranges in the past (e.g. during the last glacial maximum), allows researchers to unveil the role of cyclic global climatic changes on population dynamics.


ENMs use data on species occurrences (both past or present) along with climatic layers, to extract the climatic conditions where the species have been sampled, and map species potential range dynamics through time.


ENMs have been widely used and discussed in the recent literature. Data and biases in the data, climatic layers and climatic models, and most of all, the models itself. How to test our map predictions and what those map predictions really mean was hotly debated in the last 10 years.


In this workshop, we are going to teach you how to use R to program ENMs, models that aim to map the distribution of species based on its climatic requirements. Day by day, we will cover all the different steps of making an ENM and we will talk and discuss about their drawbacks (see below).



Targeted audience & ASSUMED BACKGROUND

This workshop is aimed at postgraduate students and researchers who are interested in using ENMs in their research. Experience in using R is not mandatory, but desirable. We will use R and RStudio in the lessons.



The workshop is delivered over ten half-day sessions (see the detailed curriculum below). Each session consists of a combination of lectures and practical exercises, with breaks at the organisers’ discretion. There will also be time for students to discuss their own problems and data.



 Monday- 09:30- 17:30


Ecological Niche Models in R



Occurrence data: how to load your own data and how to import data from open access databases (such as GBIF or paleobioDB). We will discuss here the different potential biases on the input data and how to address them. 



Dr. Sara Varela



COst overview

Package 1





Package 2



  480 €





  795 €

Cancellation Policy:




> 30  days before the start date = 30% cancellation fee


< 30 days before the start date= No Refund.




Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.