In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.

Data driven curriculum module from Dryad Digital Repository

Use digitized natural history collection occurrence data from the Global Biodiversity Information Facility (GBIF) to map the distribution of the beaver in the state of Oregon from 1800-2020 using QGIS

In this lesson students will learn about the impacts of urbanization, and the conservation challenges it poses to wildlife, in particular avifauna. Introductory ecology topics such as the theory of island biogeography and habitat fragmentation will be discussed, and the student will learn about the beneficial role of native plants in urban residential landscaping. A focal paper will be used to better explore these topics, and data from this observational study will be utilized to introduce generalized linear models in the R programming environment. The student should have some prior basic knowledge of introductory ecology concepts, introductory statistics and have R studio installed on their computer with a basic understanding of this programming language. Upon completion of this lesson, students will learn how urban residential yards contribute to the overall green space in urbanized areas and be used as a conservation strategy to mitigate habitat loss. In R, the student will learn how to conduct statistical analyses and determine if the species area relationship and distance effects of the theory of island biogeography predict bird richness in this study system.

The video and exercise provides insight into how researchers are using digital data resources to investigate biodiversity in prairie fen wetlands.

This module examines the relationship between street trees, urban avifauna, and socioeconomic gradients in the highly urbanized county of Los Angeles, California. Using edited data from a published study, students will learn how to run and interpret a generalized linear model with negative binomial distribution in RStudio.

Backyard Beetles + Pollinators is a project to observe and evaluate plant-pollinator networks. This adaptation modifies the (adapted) modules for a non-lab course on conservation, conducted during a mix of in-person and remote students.