This 3-part series focuses on Species Distribution Models (SDMs), the use of remote sensing data for landscape characterization, and highlight multiple tools for conducting SDM for a variety of ecosystems.

Species Distribution Models (SDMs) play a critical role in biodiversity, conservation, and understanding the potential impacts to ecosystems under changing climate conditions. SDMs contextualize future scenarios based on known or projected ecological parameters and are the cornerstone for adaptive management planning around short- and long-term changes to complex landscapes. This training will provide an overview of SDMs, show how to use remote sensing data for landscape characterization, and highlight multiple Applied Sciences projects that have developed tools for conducting SDM for a variety of ecosystems. This will include a special session on the Wallace R-based platform for modeling of species niches and distributions. Attendees will be provided with demonstrations and additional resources for using these tools for their own species modeling applications.