Human-induced environmental stressors are among the leading drivers of ecosystem change. Our research has increased our understanding of how different taxa and ecosystems respond to environmental stressors along a gradient of spatial and temporal scales, in addition to developing quantitative frameworks to predict the effects of environmental stressors on wide-ranging ecosystems.

We are currently researching the impacts of multiple stressors on lake ice phenology, water temperatures, water quality, primary production, and fish communities around the world. We use big data and machine learning to address novel research questions in global change biology.

Our research topics include, but are not limited to:

  • Lake ice dynamics
  • Water quality and ecosystem structure & function
  • Fish community composition and productivity
  • Quantitative Ecology
  • Spatial and Temporal Dynamics