An R package for environmental and ecological biophysics, TrenchR offers microclimate models as well as accessible energy budget models to translate microclimate into estimates of animal body temperature. The package is available on CRAN and described in this paper.

We offer an interactive visualization for aiding the selection of microclimate data. Once microcliamte data are selected, we offer a user's guide for accessing the data.

TrenchR is complementary to the NicheMapR initiative, which offers an R package and RShiny interfaces for more complex microclimate and biophysical models. The package is also complementary to the MICROCLIM, which offers tools and data for microclimate modelling.

We have created the TrEnCh-ed website, including interactive R Shiny applications and associated tutorials, to allow students and visitors to explore the ecological and evolutionary impacts of climate change through interacting with data.

Biophysical ecology tutorials

We’ve developed a series of tutorials aimed at graduate students interested in biophysical ecology. The tutorials originate from a 1979 course at UW entitled “Physical Processes in Ecosystems” and align with the TrenchR package.

TrenchIR is a web service for processing and disseminating FLIR infrared imagery.

We created interactive visualizations for exploring organismal responses to environmental conditions. We are not currently running the server with the mapping applications, but the visualizations are offered in GitHub.

Mapping ectotherm body temperatures and areas of thermal stress: The app uses biophysical models for a variety of ectothermic taxa to map recent and projected future body temperatures and areas of thermal stress across the US.

Lizard thermal safety margins: The app uses biophysical modeling to explore lizard body temperatures and thermal safety margins — how much warming could occur before a lizard exceeds its thermal tolerance.

Insect development and phenology: The app leverages a database of insect development traits to predict phenology for many species across the US.

Extreme value analysis for temperature data

Code for a review paper on quantifying thermal extremes.

Code from a perspective paper on leveraging organismal biology to forecast the effects of climate change.

Model of butterfly responses to climate change

Code for a model tntegrates microclimate, developmental, biophysical, demographic, and evolutionary models.