I’m a global change ecologist at the California Academy of Sciences. My research focuses on anthropogenic vegetation transitions in western North America, spanning both montane forests and urban systems. I draw on natural history, large-scale geospatial modeling, community science, and environmental ethics, and I work to make ecological science legible to the communities who affect and are affected by changing ecosystems.

Using historical vegetation data, modern forest inventories, and environmental data to characterize climate-induced range shifts. I primarily study vegetation-climate mismatch in the Sierra Nevada (i.e. “zombie forests”), with parallel work on urban refugia and the conservation value of urban biodiversity.
Investigating consequences for fire regimes, carbon storage, biodiversity, and the human communities embedded in these landscapes. Recent work includes wildfire behavior in zombie forests and co-authorship of the Nature and Climate Change chapter of The Nature Record.
Developing ethical frameworks, community science platforms, and co-created management strategies that strengthen the reciprocal relationships between scientists, decision-makers, and local communities. This includes work to reframe nativeness as a gradient to better manage ecosystems in transition, a suite of tools to make biodiversity data more legible to the community scientists that collect it and the decision-makers that act on it, and community science campaigns that ground this work in local communities.

Interactive application to explore plant biodiversity patterns before and after wildfire events in California using data from the California Native Plant Society “Fire Followers” iNat project.

Interactive map exploring biodiversity observations and spatial coverage patterns across San Francisco using iNaturalist data.

A proof-of-concept, extending Brian Buma’s “Edges of (All) Life” to a global scale and adding altitude.

Interactive tool for exploring vegetation-climate mismatch in Sierra Nevada conifer forests.

A quick game to guess which is the most observed taxon in your San Francisco neighborhood. We use this at public events.