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
Modeling habitat suitability across different levels of invasive plant abundance
The invasive plant data landscape: A synthesis of spatial data and applications for research and management in the United States
Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists
Models combining multiple scales of inference capture hydrologic and climatic drivers of riparian tree distributions
Climate change and ‘alien species in National Parks’: Revisited
Regional models do not outperform continental models for invasive species
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
Predicting the phenology of invasive grasses under a changing climate to inform mapping and management
Assessing the Proliferation, Connectivity, and Consequences of Invasive Fine Fuels on the Sagebrush Biome
Predicting risk of annual grass invasion following fire in sagebrush steppe and rangeland ecosystems
Economic assessment of addressing annual invasive grasses across the sagebrush biome
Developing habitat models for rare plants to inform decision making on multiple-use public lands
INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Managing Ecological Transformation to Enhance Carbon Storage and Biodiversity
Future Aquatic Invaders of the Northeast U.S.: How Climate Change, Human Vectors, and Natural History Could Bring Southern and Western Species North
Developing A New Software Package to Enhance Species Distribution Model Functionality
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
Thresholded abundance models for three invasive plant species in the United States
Occurrence data and models for woody riparian native and invasive plant species in the conterminous western USA
INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)
Data to create and evaluate distribution models for invasive species for different geographic extents
Simulation models for buffelgrass and alternative management strategies for Saguaro National Park, AZ
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)
High-throughput calculations of climatch scores
climatchR: An implementation of Climatch in R
Science and Products
- Publications
Filter Total Items: 104
Modeling habitat suitability across different levels of invasive plant abundance
Predicting where invasive plants are likely to spread and become abundant is critical for informing invasive plant management. Species distribution models are a key tool for informing the geography of invasion risk, but most distribution models are limited by their use of presence data, including no information on invader population abundance. In this study, we ask how habitat suitability varies fAuthorsEvelyn M. Beaury, Catherine S. Jarnevich, Ian Pearse, Annette E. Evans, Nathan Teich, Peder Engelstad, Jillian LaRoe, Bethany A. BradleyThe invasive plant data landscape: A synthesis of spatial data and applications for research and management in the United States
ContextAn increase in the number and availability of datasets cataloging invasive plant distributions offers opportunities to expand our understanding, monitoring, and management of invasives across spatial scales. These datasets, created using on-the-ground observations and modeling techniques, are made both for and by researchers and managers.ObjectivesThe large number and variety of data typesAuthorsEmily J. Fusco, Evelyn M. Beaury, Bethany A. Bradley, Michelle Cox, Catherine S. Jarnevich, Adam L. Mahood, R. Chelsea Nagy, Ty Nietupski, Jessica E. HalofskyInvaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists
Watch lists of invasive species that threaten a particular land management unit are useful tools because they can draw attention to invasive species at the very early stages of invasion when early detection and rapid response efforts are often most successful. However, watch lists typically rely on the subjective selection of invasive species by experts or on the use of spotty occurrence records.AuthorsCatherine S. Jarnevich, Peder Engelstad, Jillian LaRoe, Brandon Hays, Terri Hogan, Jeremy Jirak, Ian Pearse, Janet S. Prevéy, Jennifer Sieraki, Annie Simpson, Jess Wenick, Nicholas Young, Helen SofaerModels combining multiple scales of inference capture hydrologic and climatic drivers of riparian tree distributions
Predicting species geographic distributions is key to managing invasive species, conserving biodiversity, and understanding species' environmental requirements. Species distribution models (SDMs) commonly focus on climatic predictors, but other environmental factors can also be essential, particularly for species with specialized habitats defined by hydrologic, topographic, or edaphic conditions (AuthorsLaura G Perry, Catherine S. Jarnevich, Patrick B. ShafrothClimate change and ‘alien species in National Parks’: Revisited
The US National Park Service mission includes conserving native species and historical landscapes ‘unimpaired for the enjoyment of future generations’. However, humans have increased the introduction of non-native species that can become invasive and which have harmful impacts on native species and landscapes. We revisit two previous papers, ‘Alien Species in National Parks: Drawing Lines in SpaceAuthorsCatherine S. Jarnevich, Terri Hogan, Jennifer Sieracki, Christine Lipsky, John WullschlegerRegional models do not outperform continental models for invasive species
Aim: Species distribution models can guide invasive species prevention and management by characterizing invasion risk across space. However, extrapolation and transferability issues pose challenges for developing useful models for invasive species. Previous work has emphasized the importance of including all available occurrences in model estimation, but managers attuned to local processes may beAuthorsCatherine S. Jarnevich, Helen Sofaer, Peder Engelstad, Pairsa BelamaricClimate matching with the climatchR R package
Climate matching allows comparisons of climatic conditions between different locations to understand location and species range climatic suitability. The approach may be used as part of horizon scanning exercises such as those conducted for invasive species. We implemented the CLIMATCH algorithm into an R package, climatchR. The package allows automated and scripted climate matching exercises acroAuthorsRichard A. Erickson, Peder S Engelstad, Catherine S. Jarnevich, Helen Sofaer, Wesley DanielPotential cheatgrass abundance within lightly invaded areas of the Great Basin
ContextAnticipating where an invasive species could become abundant can help guide prevention and control efforts aimed at reducing invasion impacts. Information on potential abundance can be combined with information on the current status of an invasion to guide management towards currently uninvaded locations where the threat of invasion is high.ObjectivesWe aimed to support management by develoAuthorsHelen Sofaer, Catherine S. Jarnevich, Erin K. Buchholtz, Brian S. Cade, John T. Abatzoglou, Cameron L. Aldridge, Patrick Comer, Daniel Manier, Lauren E. Parker, Julie A. HeinrichsA framework to integrate innovations in invasion science for proactive management
Invasive alien species (IAS) are a rising threat to biodiversity, national security, and regional economies, with impacts in the hundreds of billions of U.S. dollars annually. Proactive or predictive approaches guided by scientific knowledge are essential to keeping pace with growing impacts of invasions under climate change. Although the rapid development of diverse technologies and approaches haAuthorsCharles B. van Rees, Brian K. Hand, Sean C. Carter, Charles Bargeron, Timothy Joseph Cline, Wesley Daniel, Jason A. Ferrante, Keith Gaddis, Margaret E. Hunter, Catherine S. Jarnevich, Melodie A. McGeoch, Jeffrey T. Morisette, Matthew E. Neilson, Helen E. Roy, Mary Ann Rozance, Adam J. Sepulveda, Rebekah D. Wallace, Diane Whited, Taylor Wilcox, John S. Kimball, Gordon LuikartINHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Narrowing the communication and knowledge gap between producers and users of scientific data is a longstanding problem in ecological conservation and land management. Decision support tools (DSTs), including websites or interactive web applications, provide platforms that can help bridge this gap. DSTs can most effectively disseminate and translate research results when producers and users collaboAuthorsPeder Engelstad, Catherine S. Jarnevich, Terri Hogan, Helen Sofaer, Ian Pearse, Jennifer Sieracki, Neil Frakes, Julia Sullivan, Nicholas E. Young, Janet S. Prevéy, Pairsa Nicole Belamaric, Jillian Marie LaroeCoupling process-based and empirical models to assess management options to meet conservation goals
Conservation lands face a mounting threat of ecosystem transformation and the loss of biodiversity from the invasion of fire-prone perennial and annual grasses. Managers must make difficult decisions to find efficient ways to expend limited resources to manage large and complex landscapes amidst substantial uncertainty regarding effective treatment strategies, climates, and invader-induced novel pAuthorsCatherine S. Jarnevich, Catherine Cullinane Thomas, Nicholas E. Young, Perry Grissom, Dana M. Backer, Leonardo FridGrassification and fast-evolving fire connectivity and risk in the Sonoran Desert, United States
In the southwestern United States, non-native grass invasions have increased wildfire occurrence in deserts and the likelihood of fire spread to and from other biomes with disparate fire regimes. The elevational transition between desertscrub and montane grasslands, woodlands, and forests generally occurs at ∼1,200 masl and has experienced fast suburbanization and an expanding wildland-urban interAuthorsBenjamin T. Wilder, Catherine S. Jarnevich, Elizabeth Baldwin, Joseph S. Black, Kim A. Franklin, Perry Grissom, Katherine Hovanes, Aaryn Olsson, Jim Malusa, Abu S.M.G. Kibria, Yue M. Li, Aaron M. Lien, Alejandro Ponce, Julia A. Rowe, Jose Soto, Maya Stahl, Nicholas Young, Julio L. Betancourt - Science
Filter Total Items: 19
Predicting the phenology of invasive grasses under a changing climate to inform mapping and management
Cheatgrass, an invasive annual grass, reduces ecosystem productivity, negatively impacts biodiversity, and is increasingly problematic in higher elevation ecosystems with climate change. Cheatgrass phenology (that is, the timing of yearly growth and lifespan) varies greatly with elevation, climate, and weather from year to year, which can make management planning difficult and reduce the ability...Assessing the Proliferation, Connectivity, and Consequences of Invasive Fine Fuels on the Sagebrush Biome
Invasive annual grasses can replace native vegetation and alter fire behavior, impacting a range of habitats and species. A team of researchers from the U.S. Geological Survey, Colorado State University, the Bureau of Land Management, and the U.S. Fish and Wildlife Service are working to identify factors that influence changes in the distribution and abundance of invasive annual grasses (IAGs)...Predicting risk of annual grass invasion following fire in sagebrush steppe and rangeland ecosystems
This project analyzes on-the-ground plant monitoring data across sagebrush and rangeland ecosystems to examine how fire, climate, topography, and plant communities influence the success of invasive annual grasses after fires.Economic assessment of addressing annual invasive grasses across the sagebrush biome
This interdisciplinary project combines expert judgment on treatment costs with spatially explicit ecological modeling to estimate the financial resources needed to address the threat of invasive annual grass across the entire sagebrush biome. Results of the assessment will provide economic insights that can inform cost-effective resource allocation to efficiently achieve sagebrush conservation...Developing habitat models for rare plants to inform decision making on multiple-use public lands
Public lands provide important habitat for many rare plants. However, public lands often need to accommodate many other uses, including traditional and renewable energy development, in addition to conservation. We are working with the Bureau of Land Management to coproduce ensemble habitat suitability models that can inform agency planning and permitting decisions that may impact rare plants.INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Many managers are hampered by the scope of the invasive species problem compared to their available resources. Habitat suitability models of invaders can help fill this resource gap, helping with activities such as watch list compilation and targeted surveillance and eradication efforts.Managing Ecological Transformation to Enhance Carbon Storage and Biodiversity
In the North Central region, invasive species and climate change are intricately linked to changing fire regimes, and together, these drivers can have pronounced effects on ecosystems. When fires burn too hot or too frequently, they can prevent slow-growing native plants from regrowing. When this happens, the landscape can transform into a new type of ecosystem, such as a forest becoming a grasslaFuture 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 moreThe 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. - Data
Filter Total Items: 17
Thresholded abundance models for three invasive plant species in the United States
We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictorOccurrence data and models for woody riparian native and invasive plant species in the conterminous western USA
We developed habitat suitability models for occurrence of three invasive riparian woody plant taxa of concern to Department of Interior land management agencies, as well as for three dominant native riparian woody taxa. Study taxa were non-native tamarisk (saltcedar; Tamarix ramosissima, Tamarix chinensis), Russian olive (Elaeagnus angustifolia) and Siberian elm (Ulmus pumila) and native plains/FrINHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerData to create and evaluate distribution models for invasive species for different geographic extents
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerSimulation models for buffelgrass and alternative management strategies for Saguaro National Park, AZ
This is a spatially-explicit state-and-transition simulation model of buffelgrass dynamics and alternative management actions in Saguaro National Park, AZ. Buffelgrass is an invasive grass spreading in the park. This work built on previous efforts that first developed a state and transition simulation model linked to FARSITE fire behavior model to describe buffelgrass dynamics in the park and a sePresence and abundance data and models for four invasive plant species
We developed habitat suitability models for four invasive plant species of concern to Department of Interior land management agencies. We generally followed the modeling workflow developed in Young et al. 2020, but developed models both for two data types, where species were present and where they were abundant. We developed models using five algorithms with VisTrails: Software for Assisted HabitaSecond Iteration of Range Wide Lesser Prairie Chicken Lek Habitat Suitability in 2019, Predicted in Southern Great Plains
We developed a second iteration of habitat suitability models for Lesser Prairie Chicken leks, across their range. The first modeling iteration used lek data collected from 2002 to 2012, land cover data ranging from 2001 to 2013, and anthropogenic features from 2011. Our second iteration model used occurrence points from new lek surveys (2015 to 2019) and updated predictor layers to evaluate changINHABIT species potential distribution across the contiguous United States
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerState-and-Transition Simulation Models of Buffelgrass in Saguaro National Park (2014-2044) to explore ecological uncertainties
This is a spatially-explicit state-and-transition simulation model of buffelgrass dynamics in Saguaro National Park, AZ. Buffelgrass is an invasive grass spreading in the park. The model represents uninvaded and invaded parts of the desert ecosystem and includes a connection to a fire behavior model. The model was built using the ST-Sim software platform linked to the FARSITE fire behavior model.Data for modeling fountain grass and bishop's goutweed in the contiguous US
This data bundle contains the merged data sets to create models for bishop's goutweed and fountaingrass using the VisTrails:SAHM [SAHM 2.1.0]. We developed species distribution models for both species following a workflow designed to balance automation and human intervention to produce models for invasive plant species of concern to U.S. land managers. Location data came from existing databases agNon-native and synanthropic bird data derived from 2010-2012 Breeding Bird Survey and associated landscape metrics from 2011 NLCD
Locations of and proportional abundance of non-native and synanthropic passerines were extracted from Breeding Bird Survey (BBS) data from 2010-2012. Information characterizing the spatial variation and the associated amount, aggregation, and diversity of developed and agricultural land cover types was extracted from the National Land Cover Datasets of 2011. Data supported analyses in the publicatState-and-Transition Simulation Model of Buffelgrass in Saguaro National Park (2014-2044)
This is a spatially-explicit state-and-transition simulation model of buffelgrass dynamics in Saguaro National Park. Buffelgrass is an invasive grass spreading in the park. The model represents uninvaded and invaded parts of the desert ecosystem including transition pathways related to management activities and includes a connection to a fire behavior model. The model was built using the ST-Sim so - Multimedia
- Software
High-throughput calculations of climatch scores
Matching climate envelopes allows people to examine how potential invasive species may match habitats. This repository contains code for using the climatchR package for high-throughput calculations of climatch scores for species using GBIF data. Climatch is based upon the climatch algorithm as implemented through the climatchR package.climatchR: An implementation of Climatch in R
Matching climate envelopes of allows people to examine how potential invasive species may match habitats. The Australian government created Climatch to do allow for these comparisons. However, this webpage does not allow for readily scripting climate matching. Hence, the authors created climatchR, an R package (R Core Team 2020) implementing the climatch method in R. This was created to allow auto - News