Catherine S. Jarnevich, PhD
Catherine began working for the USGS while obtaining her doctorate in ecology in 2000. She gained skills in integrating disparate datasets of species’ location data and using these to generate spatially explicit models of species occurrence and abundance.
Catherine has developed a research program to assist multiple agencies and groups with species distributions, focusing on invasive species. Her current research involves the application of habitat suitability models to answer different applied research and management questions for various species across a range of taxa and spatial scales. She has also been working with spatially explicit state and transition modeling to inform efficient landscape scale invasive plant management.
Professional Experience
Research ecologist, Fort Collins Science Center, U. S. Geological Survey, Ft. Collins, CO: 2011 - present
Ecologist, Fort Collins Science Center, U. S. Geological Survey, Ft. Collins, CO: 2000 - 2011
Education and Certifications
Ph.D., Colorado State University (Ecology), 2004
B.S., University of New Mexico, NM (Double major: Biology and Anthropology), 1998
Science and Products
Creating a North Central Regional Invasive Species and Climate Change (NC RISCC) Management Network
The Role of Climate in Shaping Invasive Plant Abundance across Different Spatial Locations
Species Distribution Modeling
Resource for Advanced Modeling (RAM) and VisTrails/SAHM Training
For classes in the SAHM/Vis-trails software, please contact Catherine Jarnevich. The Resource for Advanced Modeling room is located within the USGS Fort Collins Science Center in Fort Collins, CO.
Documenting, Mapping, and Predicting Invasive Species Using the Fort Collins Science Center's RAM (Resource for Advanced Modeling)
Resource for Advanced Modeling (RAM)
Developing Ecological Forecasting Models for Invasive Species
Facilitating the USGS Scientific Data Management Foundation by integrating the process into current scientific workflow systems
NEON Workshop: Operationalizing Ecological Forecasts
Integrating ecological forecasting methods to improve applications for natural resource management: An invasive species example
Presence and abundance data and models for four invasive plant species
Second Iteration of Range Wide Lesser Prairie Chicken Lek Habitat Suitability in 2019, Predicted in Southern Great Plains
INHABIT species potential distribution across the contiguous United States
State-and-Transition Simulation Models of Buffelgrass in Saguaro National Park (2014-2044) to explore ecological uncertainties
Data for modeling fountain grass and bishop's goutweed in the contiguous US
Non-native and synanthropic bird data derived from 2010-2012 Breeding Bird Survey and associated landscape metrics from 2011 NLCD
State-and-Transition Simulation Model of Buffelgrass in Saguaro National Park (2014-2044)
Data for cheatgrass mapping in Squirrel Creek Wildfire and Arapaho Wildfire, WY in 2014
Workflow to create global species distribution model for Bombina orientalis, Xenopus laevis, and Pomacea from GBIF data and climate, land cover, topography, and MODIS derived predictors
Data for modeling tegu lizard distributions in the Americas
Data for forecasting buffelgrass distribution with global distribution data, local data, and physiological information
Cheatgrass mapping in Squirrel Creek Wildfire, WY in 2014
Climate matching with the climatchR R package
Potential cheatgrass abundance within lightly invaded areas of the Great Basin
A framework to integrate innovations in invasion science for proactive management
INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Coupling process-based and empirical models to assess management options to meet conservation goals
Grassification and fast-evolving fire connectivity and risk in the Sonoran Desert, United States
Challenges in updating habitat suitability models: An example with the lesser prairie-chicken
Modelling presence versus abundance for invasive species risk assessment
Tools and technologies for quantifying spread and impacts of invasive species
Assessing ecological uncertainty and simulation model sensitivity to evaluate an invasive plant species’ potential impacts to the landscape
A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales
Human-associated species dominate passerine communities across the United States
Science and Products
Creating a North Central Regional Invasive Species and Climate Change (NC RISCC) Management Network
The Role of Climate in Shaping Invasive Plant Abundance across Different Spatial Locations
Species Distribution Modeling
Resource for Advanced Modeling (RAM) and VisTrails/SAHM Training
For classes in the SAHM/Vis-trails software, please contact Catherine Jarnevich. The Resource for Advanced Modeling room is located within the USGS Fort Collins Science Center in Fort Collins, CO.