Catherine Jarnevich is a Research Ecologist at the Fort Collins Science Center.
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. Since that time she has developed a research program through the USGS Resource for Advanced Modeling to assist multiple agencies and groups with species distributions, focusing on invasive species. Catherine’s 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.
Science and Products
Filter Total Items: 13
Future Aquatic Invaders of the Northeast U.S.: How Climate Change, Human Vectors, and Natural History Could Bring Southern and Western Species North
There are significant investments by states and resource agencies in the northeast U.S. for invasive aquatic species monitoring and management. These investments in jurisdictional waters help maintain their use for drinking, industry, and recreation. It is essential to understand the risks from invasive species, because once established, species can be costly to society and difficult or impossible
Developing A New Software Package to Enhance Species Distribution Model Functionality
Even when faced with uncertainty about future climate conditions, resource managers are tasked with making planning and adaptation decisions that impact important natural and cultural resources. Species distribution models are widely used by both researchers and managers to estimate species responses to climate change. These models combine data on environmental variables (e.g., temperature, precip
Creating a North Central Regional Invasive Species and Climate Change (NC RISCC) Management Network
Natural resource managers consistently identify invasive species as one of the biggest challenges for ecological adaptation to climate change. Yet climate change is often not considered during their management decision making. Given the many ways that invasive species and climate change will interact, such as changing fire regimes and facilitating the migration of high priority species, it is more
Assessing the Proliferation, Connectivity, and Consequences of Invasive Fine Fuels
Invasive annual grasses (fine fuels) are a significant challenge for land and wildlife management.
The Role of Climate in Shaping Invasive Plant Abundance across Different Spatial Locations
Invasive plants are a major land management problem in the Western U.S. Cheatgrass (Bromus tectorum) is the most prominent and problematic invader in cold deserts, with negative effects on rangeland fire patterns, wildlife habitats, and forage/vegetation. Red brome (B. madritensis) is an invader in the Mojave Desert, and can similarly introduce a new fire patterns to sensitive warm desert scrub. T
Species Distribution Modeling
A requirement for managing a species, be it a common native species, a species of conservation concern, or an invasive species, is having some information on its distribution and potential drivers of distribution. Branch scientists have been tackling the question of where these types of species are and where they might be in the future.
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)
The Resource for Advanced Modeling room provides a collaborative working environment for up to 20 scientists, supported with networked, wireless computing capability for running and testing various scientific models (e.g., Maxent, Boosted Regression Trees, Logistic Regression, MARS, Random Forest) at a variety of spatial scales, from county to global levels. Models use various predictor layers...
Resource for Advanced Modeling (RAM)
Branch scientists have developed the Resource for Advanced Modeling (RAM), a modeling facility for collaborative research both within the U.S. Geological Survey (USGS) and with the wider research community. The facility provides a collaborative working environment for up to 20 scientists from within the USGS and the wider research community. There are networked, wireless computing facilities with...
Developing Ecological Forecasting Models for Invasive Species
Forecasts of where species might be and what impacts they may have are necessary for management of invasive species. Researchers at FORT are using various approaches to provided needed information to resource managers to combat invasive plants, animals, and disease organisms.
Facilitating the USGS Scientific Data Management Foundation by integrating the process into current scientific workflow systems
Increasing attention is being paid to the importance of proper scientific data management and implementing processes that ensure that products being released are properly documented. USGS policies have been established to properly document not only publications, but also the related data and software. This relatively recent expansion of documentation requirements for data and software may presen
NEON Workshop: Operationalizing Ecological Forecasts
Ecosystems are changing worldwide and critical decisions that affect ecosystem health and sustainability are being made every day. As ecologists, we have a responsibility to ensure that these decisions are made with access to the best available science. However, to bring this idea into practice, ecology needs to make a substantial leap forward towards becoming a more predictive science. Furthermor
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Filter Total Items: 13
Future Aquatic Invaders of the Northeast U.S.: How Climate Change, Human Vectors, and Natural History Could Bring Southern and Western Species North
There are significant investments by states and resource agencies in the northeast U.S. for invasive aquatic species monitoring and management. These investments in jurisdictional waters help maintain their use for drinking, industry, and recreation. It is essential to understand the risks from invasive species, because once established, species can be costly to society and difficult or impossibleDeveloping A New Software Package to Enhance Species Distribution Model Functionality
Even when faced with uncertainty about future climate conditions, resource managers are tasked with making planning and adaptation decisions that impact important natural and cultural resources. Species distribution models are widely used by both researchers and managers to estimate species responses to climate change. These models combine data on environmental variables (e.g., temperature, precipCreating a North Central Regional Invasive Species and Climate Change (NC RISCC) Management Network
Natural resource managers consistently identify invasive species as one of the biggest challenges for ecological adaptation to climate change. Yet climate change is often not considered during their management decision making. Given the many ways that invasive species and climate change will interact, such as changing fire regimes and facilitating the migration of high priority species, it is moreAssessing the Proliferation, Connectivity, and Consequences of Invasive Fine Fuels
Invasive annual grasses (fine fuels) are a significant challenge for land and wildlife management.The Role of Climate in Shaping Invasive Plant Abundance across Different Spatial Locations
Invasive plants are a major land management problem in the Western U.S. Cheatgrass (Bromus tectorum) is the most prominent and problematic invader in cold deserts, with negative effects on rangeland fire patterns, wildlife habitats, and forage/vegetation. Red brome (B. madritensis) is an invader in the Mojave Desert, and can similarly introduce a new fire patterns to sensitive warm desert scrub. TSpecies Distribution Modeling
A requirement for managing a species, be it a common native species, a species of conservation concern, or an invasive species, is having some information on its distribution and potential drivers of distribution. Branch scientists have been tackling the question of where these types of species are and where they might be in the future.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)
The Resource for Advanced Modeling room provides a collaborative working environment for up to 20 scientists, supported with networked, wireless computing capability for running and testing various scientific models (e.g., Maxent, Boosted Regression Trees, Logistic Regression, MARS, Random Forest) at a variety of spatial scales, from county to global levels. Models use various predictor layers...Resource for Advanced Modeling (RAM)
Branch scientists have developed the Resource for Advanced Modeling (RAM), a modeling facility for collaborative research both within the U.S. Geological Survey (USGS) and with the wider research community. The facility provides a collaborative working environment for up to 20 scientists from within the USGS and the wider research community. There are networked, wireless computing facilities with...Developing Ecological Forecasting Models for Invasive Species
Forecasts of where species might be and what impacts they may have are necessary for management of invasive species. Researchers at FORT are using various approaches to provided needed information to resource managers to combat invasive plants, animals, and disease organisms.Facilitating the USGS Scientific Data Management Foundation by integrating the process into current scientific workflow systems
Increasing attention is being paid to the importance of proper scientific data management and implementing processes that ensure that products being released are properly documented. USGS policies have been established to properly document not only publications, but also the related data and software. This relatively recent expansion of documentation requirements for data and software may presenNEON Workshop: Operationalizing Ecological Forecasts
Ecosystems are changing worldwide and critical decisions that affect ecosystem health and sustainability are being made every day. As ecologists, we have a responsibility to ensure that these decisions are made with access to the best available science. However, to bring this idea into practice, ecology needs to make a substantial leap forward towards becoming a more predictive science. Furthermor - Data
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