Photograph of cheatgrass by Fort Collins Science Center biologist Janet Prevéy (USGS).
Janet Prevéy, PhD
Janet Prevéy is a Biologist at the Fort Collins Science Center, whose research focuses on how environmental changes affect vegetation dynamics and phenology across different spatial and temporal scales.
Janet Prevéy is a global change ecologist who synthesizes information from reciprocal transplant studies, manipulative experiments, community scientists, satellite imagery, and long-term monitoring plots to explore how environmental changes influence vegetation dynamics and phenology across different spatial and temporal scales. She seeks to understand how climatic conditions, genetic adaptations, and biotic interactions can differentially influence species’ phenological responses, and how these differences can ultimately determine community and ecosystem responses to environmental change.
Professional Experience
October 2019 - Present, Research Ecologist/Biologist, Invasive Species Science Branch, US Geological Survey, Fort Collins Science Center, Fort Collins, Colorado.
April 2016 - September 2019, Research Ecologist, USFS Pacific Northwest Research Station, Forestry Sciences Laboratory, Olympia, Washington.
March 2014 - March 2016, Postdoctoral Researcher, WSL Institut für Schnee und Lawinenforschung SLF, Davos, Switzerland.
Education and Certifications
2009 - 2014, Doctorate of Philosophy in Ecology, University of Colorado at Boulder
2007 - 2009, Master of Science in Botany, Idaho State University
2000 - 2004, Bachelor of Science, Colorado College
Science and Products
Predicting the phenology of invasive grasses under a changing climate to inform mapping and management
Predicting risk of annual grass invasion following fire in sagebrush steppe and rangeland ecosystems
INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Climate Impacts on the Locations and Availability of Traditional Food Sources from Native Northwestern Shrubs
Post-fire plot-level vegetation cover measurements in the western United States
Potential distribution of Japanese brome (Bromus japonicus) across the contiguous United States (October 2023)
Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units
INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)
Habitat suitability models for understory shrubs of western North America
Location and phenology observations for beaked hazelnut (Corylus cornuta), Oregon grape (Mahonia aquifolium), and salal (Gaultheria shallon) in western North America
Photograph of cheatgrass by Fort Collins Science Center biologist Janet Prevéy (USGS).
![a researcher in bright orange USGS gear attaches a camera to a tree](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/Researcher.png?itok=4-TcJpv-)
We are deploying timelapse cameras across elevational and latitudinal gradients to capture variation in cheatgrass phenology.
We are deploying timelapse cameras across elevational and latitudinal gradients to capture variation in cheatgrass phenology.
![animated gif showing green grass growing larger than turning yellow and dying](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/CG%20Gif.gif?itok=OSYuJrtc)
Timelapse camera imagery of cheatgrass growing over time after the Mullen fire in southern Wyoming. These images provide precise dates of green-up, flowering, and senescence of cheatgrass which can be paired with local climate data to create phenological predictions.
Timelapse camera imagery of cheatgrass growing over time after the Mullen fire in southern Wyoming. These images provide precise dates of green-up, flowering, and senescence of cheatgrass which can be paired with local climate data to create phenological predictions.
![Timelapse camera imagery of cheatgrass growing over time](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/Picture11c_0.gif?itok=f24ZY1C-)
Timelapse camera imagery of cheatgrass growing over time after the Mullen fire in southern Wyoming. These images provide precise dates of green-up, flowering, and senescence of cheatgrass which can be paired with local climate data to create phenological predictions.
Timelapse camera imagery of cheatgrass growing over time after the Mullen fire in southern Wyoming. These images provide precise dates of green-up, flowering, and senescence of cheatgrass which can be paired with local climate data to create phenological predictions.
Burned area following the Mullen fire in 2020 in southern Wyoming. Invasive annual grasses may be becoming more abundant at higher elevations after disturbances like fire, and tools are needed to accurately map potential invasions across topographic gradients. Photo by Janet Prevéy (USGS).
Burned area following the Mullen fire in 2020 in southern Wyoming. Invasive annual grasses may be becoming more abundant at higher elevations after disturbances like fire, and tools are needed to accurately map potential invasions across topographic gradients. Photo by Janet Prevéy (USGS).
Predictor importance in habitat suitability models for invasive terrestrial plants
Non-native plant invasion after fire in western USA varies by functional type and with climate
Plant traits poorly predict winner and loser shrub species in a warming tundra biome
Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists
Editorial: Plant phenology shifts and their ecological and climatic consequences
Higher temperature sensitivity of flowering than leaf-out alters the time between phenophases across temperate tree species
INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Effects of variable-density thinning on non-native understory plants in coniferous forests of the Pacific Northwest
Predicted distribution of a rare and understudied forest carnivore: Humboldt marten (Martes caurina humboldtensis)
Experimental warming differentially affects vegetative and reproductive phenology of tundra plants
The tundra phenology database: More than two decades of tundra phenology responses to climate change
Developing common protocols to measure tundra herbivory across spatial scales
Science and Products
Predicting the phenology of invasive grasses under a changing climate to inform mapping and management
Predicting risk of annual grass invasion following fire in sagebrush steppe and rangeland ecosystems
INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Climate Impacts on the Locations and Availability of Traditional Food Sources from Native Northwestern Shrubs
Post-fire plot-level vegetation cover measurements in the western United States
Potential distribution of Japanese brome (Bromus japonicus) across the contiguous United States (October 2023)
Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units
INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)
Habitat suitability models for understory shrubs of western North America
Location and phenology observations for beaked hazelnut (Corylus cornuta), Oregon grape (Mahonia aquifolium), and salal (Gaultheria shallon) in western North America
Photograph of cheatgrass by Fort Collins Science Center biologist Janet Prevéy (USGS).
Photograph of cheatgrass by Fort Collins Science Center biologist Janet Prevéy (USGS).
![a researcher in bright orange USGS gear attaches a camera to a tree](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/Researcher.png?itok=4-TcJpv-)
We are deploying timelapse cameras across elevational and latitudinal gradients to capture variation in cheatgrass phenology.
We are deploying timelapse cameras across elevational and latitudinal gradients to capture variation in cheatgrass phenology.
![animated gif showing green grass growing larger than turning yellow and dying](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/CG%20Gif.gif?itok=OSYuJrtc)
Timelapse camera imagery of cheatgrass growing over time after the Mullen fire in southern Wyoming. These images provide precise dates of green-up, flowering, and senescence of cheatgrass which can be paired with local climate data to create phenological predictions.
Timelapse camera imagery of cheatgrass growing over time after the Mullen fire in southern Wyoming. These images provide precise dates of green-up, flowering, and senescence of cheatgrass which can be paired with local climate data to create phenological predictions.
![Timelapse camera imagery of cheatgrass growing over time](https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/styles/masonry/public/media/images/Picture11c_0.gif?itok=f24ZY1C-)
Timelapse camera imagery of cheatgrass growing over time after the Mullen fire in southern Wyoming. These images provide precise dates of green-up, flowering, and senescence of cheatgrass which can be paired with local climate data to create phenological predictions.
Timelapse camera imagery of cheatgrass growing over time after the Mullen fire in southern Wyoming. These images provide precise dates of green-up, flowering, and senescence of cheatgrass which can be paired with local climate data to create phenological predictions.
Burned area following the Mullen fire in 2020 in southern Wyoming. Invasive annual grasses may be becoming more abundant at higher elevations after disturbances like fire, and tools are needed to accurately map potential invasions across topographic gradients. Photo by Janet Prevéy (USGS).
Burned area following the Mullen fire in 2020 in southern Wyoming. Invasive annual grasses may be becoming more abundant at higher elevations after disturbances like fire, and tools are needed to accurately map potential invasions across topographic gradients. Photo by Janet Prevéy (USGS).