Shawna J Zimmerman, PhD
Shawna Zimmerman is a biologist at the Fort Collins Science Center. Her research focuses on using genetic information to better understand conservation and management of wildlife species of conservation concern.
Shawna Zimmerman is a biologist at the Fort Collins Science Center in Fort Collins, Colorado. Her work focuses on using genetic and genomic tools to better understand wildlife species, often for species that are of special conservation concern. Her research explores the various ways genetic data can inform conservation, including the influence of landscape composition on population structure and how populations may be adapted to their local environments. Her work also includes the development of statistical models to predict and understand the genetic consequences of management actions and genetic-based frameworks for population monitoring.
Professional Experience
July 2023 - Present, Biologist, US Geological Survey, Fort Collins Science Center, Fort Collins, Colorado
October 2019 - July 2023, Post-doctoral Research Ecologist, US Geological Survey, Fort Collins Science Center, Fort Collins, Colorado
Education and Certifications
Ph.D. in Ecology, Colorado State University, 2019
M.S. in Horticulture, Oregon State University, 2010
B.S. in Biology, Boise State University, 2007
Science and Products
Gunnison sage-grouse predicted gene flow (conductance) surfaces, Colorado, United States
Habitat fragmentation and degradation impacts an organism's ability to navigate the landscape, ultimately resulting in decreased gene flow and increased extinction risk. Understanding how landscape composition impacts gene flow (i.e., connectivity) and interacts with scale is essential to conservation decision-making. We used a landscape genetics approach implementing a recently developed statisti
Genotypes and cluster definitions for a range-wide greater sage-grouse dataset collected 2005-2017 (ver 1.1, January 2023)
Monitoring change in genetic diversity in wildlife populations across multiple scales could facilitate prioritization of conservation efforts. We used microsatellite genotypes from 7,080 previously collected genetic samples from across the greater sage-grouse (Centrocercus urophasianus) range to develop a modelling framework for estimating genetic diversity within a recently developed hierarchical
Greater sage-grouse genetic warning system, western United States (ver 1.1, January 2023)
Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species’ conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of
Sample collection information and SNP data for Gunnison Sage-grouse across the species range generated in the Molecular Ecology Lab during 2015-2018
This dataset contains sample collection information and SNP genotypes for populations of Gunnison Sage-grouse across the species' range. This data was collected in order to examine patterns of adaptive genetic variation in Gunnison Sage-grouse. The data is archived in GenBank at the following URL https://www.ncbi.nlm.nih.gov/bioproject/517770.
Sample collection information and microsatellite data for Gunnison sage-grouse pre and post translocation
Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats and/or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal. However, the long-term impacts from translocation can be expensive and difficult to evaluate. This dataset is used to evaluate genetic change as a result of translocation and represents sa
Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.
The Arizona Toad (Anaxyrus microscaphus) is restricted to riverine corridors and adjacent uplands in the arid southwestern United States. As with numerous amphibians worldwide, populations are declining and face various known or suspected threats, from disease to habitat modification resulting from climate change. The Arizona Toad has been petitioned to be listed under the U.S. Endangered Species
Authors
Sara J. Oyler-McCance, Mason J. Ryan, Brian K. Sullivan, Jennifer A. Fike, Robert S. Cornman, J. T. Giermakowski, Shawna J Zimmerman, R. L. Harrow, S.J. Hedwell, Blake R. Hossack, I. M. Latella, R. E. Lovish, S. Siefken, Brent H. Sigafus, Erin L. Muths
Conservation genomics of an endangered montane amphibian reveals low population structure, low genomic diversity and selection pressure from disease
Wildlife diseases are a major global threat to biodiversity. Boreal toads (Anaxyrus [Bufo] boreas) are a state-endangered species in the southern Rocky Mountains of Colorado and New Mexico, and a species of concern in Wyoming, largely due to lethal skin infections caused by the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd). We performed conservation and landscape genomic analyses us
Authors
Daryl Trumbo, Bennett Hardy, Harry Crockett, Erin L. Muths, Brenna R. Forester, Rebecca Cheek, Shawna J Zimmerman, Sarah Corey-Rivas, Larissa L. Bailey, Chris Funk
Simulation of genetic change under four removal strategies for a wild horse population
Small and/or artificially reduced populations can suffer genetic erosion with long-term consequences to population fitness and persistence. However, managers must periodically remove free-roaming horses from the landscape to reduce the risk of habitat degradation. We developed an individual-based population simulation model to evaluate the expected change in genetic diversity after 100 years under
Authors
Shawna J Zimmerman, Jennifer A. Fike, Sara J. Oyler-McCance
A genetic warning system for a hierarchically structured wildlife monitoring framework
Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species' conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Michael O'Donnell, David R. Edmunds, Peter S. Coates, Brian G. Prochazka, Jennifer A. Fike, Todd B. Cross, Bradley C. Fedy, Sara J. Oyler-McCance
Scale-dependent influence of the sagebrush community on genetic connectivity of the sagebrush obligate Gunnison sage-grouse
Habitat fragmentation and degradation impacts an organism's ability to navigate the landscape, ultimately resulting in decreased gene flow and increased extinction risk. Understanding how landscape composition impacts gene flow (i.e., connectivity) and interacts with scale is essential to conservation decision-making. We used a landscape genetics approach implementing a recently developed statisti
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Mevin B. Hooten, Sara J. Oyler-McCance
Environmental gradients of selection for an alpine-obligate bird, the white-tailed ptarmigan (Lagopus leucura)
The warming climate will expose alpine species adapted to a highly seasonal, harsh environment to novel environmental conditions. A species can shift their distribution, acclimate, or adapt in response to a new climate. Alpine species have little suitable habitat to shift their distribution, and the limits of acclimation will likely be tested by climate change in the long-term. Adaptive genetic va
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Kathryn M. Langin, Gregory T Wann, Robert S. Cornman, Sara J. Oyler-McCance
An empirical comparison of population genetic analyses using microsatellite and SNP data for a species of conservation concern
BackgroundUse of genomic tools to characterize wildlife populations has increased in recent years. In the past, genetic characterization has been accomplished with more traditional genetic tools (e.g., microsatellites). The explosion of genomic methods and the subsequent creation of large SNP datasets has led to the promise of increased precision in population genetic parameter estimates and ident
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Sara J. Oyler-McCance
Signatures of adaptive divergence among populations of an avian species of conservation
Understanding the genetic underpinning of adaptive divergence among populations is a key goal of evolutionary biology and conservation. Gunnison sage‐grouse (Centrocercus minimus) is a sagebrush obligate species with a constricted range consisting of seven discrete populations, each with distinctly different habitat and climatic conditions. Though geographically close, populations have low levels
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Kevin P Oh, Robert S. Cornman, Sara J. Oyler-McCance
Evaluation of genetic change from translocation among Gunnison Sage-Grouse (Centrocercus minimus) populations
Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal, although the success of translocation can be difficult to measure. Here we evaluate genetic change following translocation in Gunnison Sage-Grouse (Centrocercus minimus), a species reduced to
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Anthony D. Apa, Sara J. Oyler-McCance
Science and Products
Gunnison sage-grouse predicted gene flow (conductance) surfaces, Colorado, United States
Habitat fragmentation and degradation impacts an organism's ability to navigate the landscape, ultimately resulting in decreased gene flow and increased extinction risk. Understanding how landscape composition impacts gene flow (i.e., connectivity) and interacts with scale is essential to conservation decision-making. We used a landscape genetics approach implementing a recently developed statisti
Genotypes and cluster definitions for a range-wide greater sage-grouse dataset collected 2005-2017 (ver 1.1, January 2023)
Monitoring change in genetic diversity in wildlife populations across multiple scales could facilitate prioritization of conservation efforts. We used microsatellite genotypes from 7,080 previously collected genetic samples from across the greater sage-grouse (Centrocercus urophasianus) range to develop a modelling framework for estimating genetic diversity within a recently developed hierarchical
Greater sage-grouse genetic warning system, western United States (ver 1.1, January 2023)
Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species’ conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of
Sample collection information and SNP data for Gunnison Sage-grouse across the species range generated in the Molecular Ecology Lab during 2015-2018
This dataset contains sample collection information and SNP genotypes for populations of Gunnison Sage-grouse across the species' range. This data was collected in order to examine patterns of adaptive genetic variation in Gunnison Sage-grouse. The data is archived in GenBank at the following URL https://www.ncbi.nlm.nih.gov/bioproject/517770.
Sample collection information and microsatellite data for Gunnison sage-grouse pre and post translocation
Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats and/or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal. However, the long-term impacts from translocation can be expensive and difficult to evaluate. This dataset is used to evaluate genetic change as a result of translocation and represents sa
Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.
The Arizona Toad (Anaxyrus microscaphus) is restricted to riverine corridors and adjacent uplands in the arid southwestern United States. As with numerous amphibians worldwide, populations are declining and face various known or suspected threats, from disease to habitat modification resulting from climate change. The Arizona Toad has been petitioned to be listed under the U.S. Endangered Species
Authors
Sara J. Oyler-McCance, Mason J. Ryan, Brian K. Sullivan, Jennifer A. Fike, Robert S. Cornman, J. T. Giermakowski, Shawna J Zimmerman, R. L. Harrow, S.J. Hedwell, Blake R. Hossack, I. M. Latella, R. E. Lovish, S. Siefken, Brent H. Sigafus, Erin L. Muths
Conservation genomics of an endangered montane amphibian reveals low population structure, low genomic diversity and selection pressure from disease
Wildlife diseases are a major global threat to biodiversity. Boreal toads (Anaxyrus [Bufo] boreas) are a state-endangered species in the southern Rocky Mountains of Colorado and New Mexico, and a species of concern in Wyoming, largely due to lethal skin infections caused by the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd). We performed conservation and landscape genomic analyses us
Authors
Daryl Trumbo, Bennett Hardy, Harry Crockett, Erin L. Muths, Brenna R. Forester, Rebecca Cheek, Shawna J Zimmerman, Sarah Corey-Rivas, Larissa L. Bailey, Chris Funk
Simulation of genetic change under four removal strategies for a wild horse population
Small and/or artificially reduced populations can suffer genetic erosion with long-term consequences to population fitness and persistence. However, managers must periodically remove free-roaming horses from the landscape to reduce the risk of habitat degradation. We developed an individual-based population simulation model to evaluate the expected change in genetic diversity after 100 years under
Authors
Shawna J Zimmerman, Jennifer A. Fike, Sara J. Oyler-McCance
A genetic warning system for a hierarchically structured wildlife monitoring framework
Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species' conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Michael O'Donnell, David R. Edmunds, Peter S. Coates, Brian G. Prochazka, Jennifer A. Fike, Todd B. Cross, Bradley C. Fedy, Sara J. Oyler-McCance
Scale-dependent influence of the sagebrush community on genetic connectivity of the sagebrush obligate Gunnison sage-grouse
Habitat fragmentation and degradation impacts an organism's ability to navigate the landscape, ultimately resulting in decreased gene flow and increased extinction risk. Understanding how landscape composition impacts gene flow (i.e., connectivity) and interacts with scale is essential to conservation decision-making. We used a landscape genetics approach implementing a recently developed statisti
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Mevin B. Hooten, Sara J. Oyler-McCance
Environmental gradients of selection for an alpine-obligate bird, the white-tailed ptarmigan (Lagopus leucura)
The warming climate will expose alpine species adapted to a highly seasonal, harsh environment to novel environmental conditions. A species can shift their distribution, acclimate, or adapt in response to a new climate. Alpine species have little suitable habitat to shift their distribution, and the limits of acclimation will likely be tested by climate change in the long-term. Adaptive genetic va
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Kathryn M. Langin, Gregory T Wann, Robert S. Cornman, Sara J. Oyler-McCance
An empirical comparison of population genetic analyses using microsatellite and SNP data for a species of conservation concern
BackgroundUse of genomic tools to characterize wildlife populations has increased in recent years. In the past, genetic characterization has been accomplished with more traditional genetic tools (e.g., microsatellites). The explosion of genomic methods and the subsequent creation of large SNP datasets has led to the promise of increased precision in population genetic parameter estimates and ident
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Sara J. Oyler-McCance
Signatures of adaptive divergence among populations of an avian species of conservation
Understanding the genetic underpinning of adaptive divergence among populations is a key goal of evolutionary biology and conservation. Gunnison sage‐grouse (Centrocercus minimus) is a sagebrush obligate species with a constricted range consisting of seven discrete populations, each with distinctly different habitat and climatic conditions. Though geographically close, populations have low levels
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Kevin P Oh, Robert S. Cornman, Sara J. Oyler-McCance
Evaluation of genetic change from translocation among Gunnison Sage-Grouse (Centrocercus minimus) populations
Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal, although the success of translocation can be difficult to measure. Here we evaluate genetic change following translocation in Gunnison Sage-Grouse (Centrocercus minimus), a species reduced to
Authors
Shawna J Zimmerman, Cameron L. Aldridge, Anthony D. Apa, Sara J. Oyler-McCance