Understanding the impacts of global change on organisms and ecosystems requires data and models that represent ecologically-relevant conditions. Here we will provide a hands-on coding workshop to understand microclimate data, and use R packages (e.g. NicheMapR, microclimf, TrenchR) to mechanistically predict microclimate anywhere on the terrestrial planet. This will include retrieving remote sensing data to parameterize such models, and analyzing climate variation in space and time to interpret ecological impacts. We will also outline key principles and guidelines on where, when, and how to deploy microclimate sensors, and introduce attendees to an R program for selecting optimal sensor deployment locations for their landscape anywhere on earth.
Depth of knowledge needed by attendees: We will cater to ecologists and biogeographers with novice or intermediate modeling experience, and there is no prerequisite for familiarity with climate or biophysical modeling. However we require attendees to have fundamental R coding and data management abilities. We will typically follow tidyverse conventions and syntax in R.
Dates: 3 – 5 June 2025
Time: 2:00 – 4:30 p.m. GMT
