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
Modeling the geographic distribution of Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae) in the contiguous United States
Running a network on a shoestring: the Global Invasive Species Information Network
Simulating long-term effectiveness and efficiency of management scenarios for an invasive grass
Citizen science contributes to our knowledge of invasive plant species distributions
Modeling the present and future geographic distribution of the Lone star tick, Amblyomma americanum (Ixodida: Ixodidae), in the continental United States
Using the Maxent program for species distribution modelling to assess invasion risk
Caveats for correlative species distribution modeling
Mapping current and potential distribution of non-native Prosopis juliflora in the Afar region of Ethiopia
Cross-scale assessment of potential habitat shifts in a rapidly changing climate
Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north
From hybrid swarms to swarms of hybrids
The Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (Tamarix spp.) Habitat in the Western USA
Science and Products
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Modeling the geographic distribution of Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae) in the contiguous United States
In addition to serving as vectors of several other human pathogens, the black-legged tick, Ixodes scapularis Say, and western black-legged tick, Ixodes pacificus Cooley and Kohls, are the primary vectors of the spirochete (Borrelia burgdorferi ) that causes Lyme disease, the most common vector-borne disease in the United States. Over the past two decades, the geographic range of I. pacificus has cAuthorsMicah Hahn, Catherine S. Jarnevich, Andrew J. Monaghan, Rebecca J. EisenRunning a network on a shoestring: the Global Invasive Species Information Network
The Global Invasive Species Information Network (GISIN) was conceptualized in 2004 to aggregate and disseminate invasive species data in a standardized way. A decade later the GISIN community has implemented a data portal and three of six GISIN data aggregation models in the GISIN data exchange Protocol, including invasive species status information, resource URLs, and occurrence data. The portalAuthorsCatherine S. Jarnevich, Annie Simpson, James J Graham, Gregory J. Newman, Chuck T. BargeronSimulating long-term effectiveness and efficiency of management scenarios for an invasive grass
Resource managers are often faced with trade-offs in allocating limited resources to manage plant invasions. These decisions must often be made with uncertainty about the location of infestations, their rate of spread and effectiveness of management actions. Landscape level simulation tools such as state-and-transition simulation models (STSMs) can be used to evaluate the potential long term conseAuthorsCatherine S. Jarnevich, Tracy R. Holcombe, Catherine Cullinane Thomas, Leonardo Frid, Aaryn D. OlssonCitizen science contributes to our knowledge of invasive plant species distributions
Citizen science is commonly cited as an effective approach to expand the scale of invasive species data collection and monitoring. However, researchers often hesitate to use these data due to concerns over data quality. In light of recent research on the quality of data collected by volunteers, we aimed to demonstrate the extent to which citizen science data can increase sampling coverage, fill gaAuthorsAlycia W. Crall, Catherine S. Jarnevich, Nicholas E. Young, Brendon Panke, Mark Renz, Thomas StohlgrenModeling the present and future geographic distribution of the Lone star tick, Amblyomma americanum (Ixodida: Ixodidae), in the continental United States
The Lone star tick (Amblyomma americanum L.) is the primary vector for pathogens of significant public health importance in North America, yet relatively little is known about its current and potential future distribution. Building on a published summary of tick collection records, we used an ensemble modeling approach to predict the present-day and future distribution of climatically suitable habAuthorsYuri P. Springer, Catherine S. Jarnevich, David T. Barnett, Andrew J. Monaghan, Rebecca J. EisenUsing the Maxent program for species distribution modelling to assess invasion risk
MAXENT is a software package used to relate known species occurrences to information describing the environment, such as climate, topography, anthropogenic features or soil data, and forecast the presence or absence of a species at unsampled locations. This particular method is one of the most popular species distribution modelling techniques because of its consistent strong predictive performanceAuthorsCatherine S. Jarnevich, Nicholas E. YoungCaveats for correlative species distribution modeling
Correlative species distribution models are becoming commonplace in the scientific literature and public outreach products, displaying locations, abundance, or suitable environmental conditions for harmful invasive species, threatened and endangered species, or species of special concern. Accurate species distribution models are useful for efficient and adaptive management and conservation, researAuthorsCatherine S. Jarnevich, Thomas J. Stohlgren, Sunil Kumar, Jeffrey T. Morisette, Tracy R. HolcombeMapping current and potential distribution of non-native Prosopis juliflora in the Afar region of Ethiopia
We used correlative models with species occurrence points, Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices, and topo-climatic predictors to map the current distribution and potential habitat of invasive Prosopis juliflora in Afar, Ethiopia. Time-series of MODIS Enhanced Vegetation Indices (EVI) and Normalized Difference Vegetation Indices (NDVI) with 250 m2 spatial resolutAuthorsTewodros Wakie, Paul H. Evangelista, Catherine S. Jarnevich, Melinda LaituriCross-scale assessment of potential habitat shifts in a rapidly changing climate
We assessed the ability of climatic, environmental, and anthropogenic variables to predict areas of high-risk for plant invasion and consider the relative importance and contribution of these predictor variables by considering two spatial scales in a region of rapidly changing climate. We created predictive distribution models, using Maxent, for three highly invasive plant species (Canada thistle,AuthorsCatherine S. Jarnevich, Tracy R. Holcombe, Elizabeth Bell, Matthew L. Carlson, Gino Graziano, Melinda Lamb, Steven S. Seefeldt, Jeffrey T. MorisetteRegional distribution models with lack of proximate predictors: Africanized honeybees expanding north
Species distribution models have often been hampered by poor local species data, reliance on coarse-scale climate predictors and the assumption that species–environment relationships, even with non-proximate predictors, are consistent across geographical space. Yet locally accurate maps of invasive species, such as the Africanized honeybee (AHB) in North America, are needed to support conservationAuthorsCatherine S. Jarnevich, Wayne E. Esaias, Peter L.A. Ma, Jeffery T. Morisette, Jaime E. Nickeson, Thomas J. Stohlgren, Tracy R. Holcombe, Joanne M. Nightingale, Robert E. Wolfe, Bin TanFrom hybrid swarms to swarms of hybrids
Science has shown that the introgression or hybridization of modern humans (Homo sapiens) with Neanderthals up to 40,000 YBP may have led to the swarm of modern humans on earth. However, there is little doubt that modern trade and transportation in support of the humans has continued to introduce additional species, genotypes, and hybrids to every country on the globe. We assessed the utility of sAuthorsThomas J. Stohlgren, Allen L. Szalanski, John F. Gaskin, Nicholas E. Young, Amanda M. West, Catherine S. Jarnevich, Amber TripodiThe Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (Tamarix spp.) Habitat in the Western USA
Habitat suitability maps are commonly created by modeling a species’ environmental niche from occurrences and environmental characteristics. Here, we introduce the hyper-envelope modeling interface (HEMI), providing a new method for creating habitat suitability models using Bezier surfaces to model a species niche in environmental space. HEMI allows modeled surfaces to be visualized and edited inAuthorsJim Graham, Nick Young, Catherine S. Jarnevich, Greg Newman, Paul Evangelista, Thomas J. Stohlgren - Software
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