David R Edmunds, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 16
Data Harmonization for Greater Sage-Grouse Populations
Long-term wildlife monitoring is imperative for understanding population changes that can inform managers. However, working with population data collected by different organizations, across multiple jurisdictions, and over long time periods can be challenging due to different data management approaches and organizational priorities. Through this project, we aimed to collaborate with eleven state...
Estimating road age and traffic volume for disturbance assessments in Wyoming
In 2021, the Fort Collins Science Center initiated a research effort to estimate road age and annual traffic volumes across the majority of roads in Wyoming for assessing impacts to wildlife. Data on roads often focus on the ‘where’ (for example, spatial features) but neglect the ‘when’ (for example, road age) or ‘how much’ (for example, traffic volume). Knowing these characteristics is critical...
A user-friendly decision support tool for monitoring and managing greater sage-grouse populations
Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with BLM and State Wildlife Agencies to develop a hierarchical population monitoring framework for managing greater sage-grouse ( Centrocercus urophasianus ) populations and the sagebrush ecosystems that they depend upon for survival and reproduction. This hierarchical population monitoring strategy now...
Hierarchical Population Monitoring Framework for Greater Sage-Grouse
Greater sage-grouse ( Centrocercus urophasianus ) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and state wildlife agencies to develop a...
Estimating trends for greater sage-grouse populations within highly stochastic environments
Land and wildlife managers require accurate estimates of sensitive species’ trends to help guide conservation decisions that maintain biodiversity and promote healthy ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and State Wildlife Agencies to develop a hierarchical population monitoring...
A targeted annual warning system (TAWS) for identifying aberrant declines in greater sage-grouse populations
Land and wildlife managers require accurate estimates of sensitive species’ trends to help guide conservation decisions that maintain biodiversity and promote healthy ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and State Wildlife Agencies to develop a hierarchical population monitoring...
Modeling chronic wasting disease prevalence through time to investigate mechanisms of spread in deer and elk in Wyoming
Diseases are challenging to manage in wild ungulate populations, particularly when there are many ways the disease can spread. Wildlife management agencies often need to take action to control disease spread, but it is unclear which actions are most effective in constraining disease because the importance of different spread mechanisms is not fully understood. This project will aid state wildlife...
Understanding How Vehicular Traffic Impacts Sage-Grouse Populations In Wyoming
In 2021, the Fort Collins Science Center initiated a research effort to 1) assess how traffic in Wyoming has impacted sage-grouse population growth rates, 2) identify the spatial scales at which these effects are most evident, and 3) identify what levels of traffic result in sage-grouse population declines.
Road Ecology
Roads and their associated infrastructure can cause substantial and pervasive effects on adjacent ecosystems but are necessary for the movement and redistribution of goods, people, wealth, and natural resources in modern societies. The Fort Collins Science Center has initiated research looking at how roads and traffic may be impacting sagebrush ecosystems and the wildlife inhabiting them. This...
Hierarchical Units of Greater Sage-Grouse Populations Informing Wildlife Management
Wildlife management boundaries frequently lack biological context, such as information on habitat resource availability and wildlife movements. To address this, we developed multiple levels of biologically relevant and hierarchically nested greater sage-grouse ( Centrocercus urophasianus ) population units that could facilitate management and conservation of populations and habitats.
Mapping Grassland Bird Community Distribution under a Changing Climate
Researchers from the U.S. Geological Survey, the U.S. Department of Agriculture-Agricultural Research Service, and Oklahoma State University are studying the distribution of grassland bird communities across the western Great Plains to anticipate how species distributions may respond to a changing climate.
What Will Grassland Bird Communities Look Like Under a Changing Climate?
Over the last half-century, grassland bird populations have declined far more than any other bird group in North America. This is because native grasslands were largely replaced with croplands, and many remaining prairies are degraded. Land managers and conservation organizations are racing to preserve and restore these ecosystems to stem further loss of grassland birds. Given limited resources, b
Wyoming road age and traffic volume estimated with machine learning and graph theory
We provide a roads dataset that includes the spatial location of roads, the estimated age of each road, and the predicted traffic volume of each road between 1986 and 2020 in Wyoming, USA. Our annual estimates of traffic volume are available for each road and include estimates for all vehicles and truck only traffic. Moreover, we provide the estimated age of each road, where a minimum value of 198
A neutral landscape approach to evaluating the umbrella species concept for greater sage-grouse in northeast Wyoming, USA
Greater sage-grouse (Centrocercus urophasianus) has been identified as a potential umbrella species with the assumption that conservation of their habitats in sagebrush ecosystems may benefit multiple other wildlife species, but co-occurrence with an umbrella species does not necessarily guarantee species will respond positively to management for sage-grouse. This may be particularly true for ecot
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
Sagebrush (Artemisia spp.) scale of effect for Greater Sage-grouse (Centrocercus urophasianus) population trends in southwest Wyoming, USA 2003-2019
The distance within which populations respond to features in a landscape (scale of effect) can indicate how disturbance and management may affect wildlife. Using annual counts of male Greater Sage-grouse (Centrocercus urophasianus) attending 584 leks in southwest Wyoming (2003-2019) and estimates of sagebrush cover from the Rangeland Condition Monitoring Assessment and Projection (RCMAP), we used
Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 3.0, February 2024)
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. These data represent an updated population trend analysis and Targeted Annual Warning System (TAWS) for state and federal land and wildlife managers to use best-available science
U.S. range-wide spatial prediction layers of lek persistence probabilities for greater sage-grouse
This dataset contains two predictive lek (breeding site) persistence raster layers covering the U.S. greater sage-grouse distribution. In the United States, locations where males display and breed with females (i.e., leks) are often monitored annually by state wildlife agencies, providing valuable information on the persistence of birds in the surrounding areas. A U.S. range-wide lek database was
Hierarchically nested and biologically relevant range-wide monitoring frameworks for greater sage-grouse, western United States
We produced 13 hierarchically nested cluster levels that reflect the results from developing a hierarchical monitoring framework for greater sage-grouse across the western United States. Polygons (clusters) within each cluster level group a population of sage-grouse leks (sage-grouse breeding grounds) and each level increasingly groups lek clusters from previous levels. We developed the hierarchic
Greater sage-grouse population structure and connectivity data to inform the development of hierarchical population units (western United States)
We present five hierarchical demarcations of greater sage-grouse population structure, representing the spatial structure of populations which can exist due to differences in dispersal abilities, landscape configurations, and mating behavior. These demarcations represent Thiessen polygons of graph constructs (least-cost path [LCP] minimum spanning trees [MST; LCP-MST]) representing greater sage-gr
Spatial layers generated by the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) applied in Southern Wyoming
All data layers included in this data release were created using the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) tool, which relies on spatial inputs on species distributions and likelihood of restoration success to select parcels for sagebrush restoration. The PReSET is a workflow that relies on the prioritizr package in program R to identify parcels for effective and meaningfu
Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Nevada and Wyoming, Interim
We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies
Filter Total Items: 23
Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions
Road networks and their associated vehicular traffic disturb many terrestrial systems, but inventories of roads used to assess these effects often focus on the ‘where’ (e.g., local road type and density) and neglect the ‘when’ (e.g., temporal disturbance) or ‘how much’ (e.g., traffic volume disturbance). We developed annual estimates of the ‘when’ (road age) and ‘how much’ (vehicular traffic volum
Authors
Richard D. Inman, Benjamin Seward Robb, Michael S. O'Donnell, David R. Edmunds, Matthew J Holloran, Cameron L. Aldridge
Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2023
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land-use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with best-available science to help guide management and conservation plans aimed at b
Authors
Brian G. Prochazka, Peter S. Coates, Cameron L. Aldridge, Michael S. O'Donnell, David R. Edmunds, Adrian P. Monroe, Steve E. Hanser, Lief A. Wiechman, Michael P. Chenaille
PopEquus: a predictive modeling tool to support management decisions for free-roaming horse populations
Feral horse (Equus caballus) population management is a challenging problem around the world because populations often exhibit density-independent growth, can exert negative ecological effects on ecosystems, and require great cost to be managed. However, strong value-based connections between people and horses cause contention around management decisions. To help make informed decisions, natural r
Authors
Brian Patrick Folt, Kathryn A. Schoenecker, L. Stefan Ekernas, David R. Edmunds, Mark T. Hannon
Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2022
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land-use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with best-available science to help guide current management and conservation plans ai
Authors
Peter S. Coates, Brian G. Prochazka, Cameron L. Aldridge, Michael S. O'Donnell, David R. Edmunds, Adrian P. Monroe, Steve E. Hanser, Lief A. Wiechman, Michael P. Chenaille
Using neutral landscape models to evaluate the umbrella species concept in an ecotone
ContextSteep declines in North American rangeland biodiversity have prompted researchers and managers to use umbrella species as a tool to manage diverse suites of co-occurring wildlife, but efficacy of this method has been variable. Evaluation of prairie and shrubland grouse as umbrellas is typically restricted to observed overlap between umbrella and background species, but this approach does no
Authors
Courtney Duchardt, Adrian P. Monroe, David R. Edmunds, Matthew James Holloran, Alison G. Holloran, Cameron L. Aldridge
A targeted annual warning system developed for the conservation of a sagebrush indicator species
A fundamental goal of population ecologists is to identify drivers responsible for temporal variation in abundance. Understanding whether variation is associated with environmental stochasticity or anthropogenic disturbances, which are more amenable to management action, is crucial yet difficult to achieve. Here, we present a hierarchical monitoring framework that models rates of change in abundan
Authors
Brian G. Prochazka, Peter S. Coates, Michael S. O'Donnell, David R. Edmunds, Adrian P. Monroe, Mark A. Ricca, Gregory T. Wann, Steve E. Hanser, Lief A. Wiechman, Kevin E. Doherty, Michael P. Chenaille, Cameron L. Aldridge
Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2021
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with best-available science to help guide current management and conservation plans ai
Authors
Peter S. Coates, Brian G. Prochazka, Cameron L. Aldridge, Michael S. O'Donnell, David R. Edmunds, Adrian P. Monroe, Steve E. Hanser, Lief A. Wiechman, Michael P. Chenaille
Spatial scale selection for informing species conservation in a changing landscape
Identifying the relevant spatial scale at which species respond to features in a landscape (scale of effect) is a pressing research need as managers work to reduce biodiversity loss amid a variety of environmental challenges. Until recently, researchers often evaluated a subset of potential scales of effect inferred from previous studies in other locations, often based on different biological resp
Authors
Adrian P. Monroe, Julie A. Heinrichs, Ashley L. Whipple, Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge
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 S. O'Donnell, David R. Edmunds, Peter S. Coates, Brian G. Prochazka, Jennifer A. Fike, Todd B. Cross, Bradley C. Fedy, Sara J. Oyler-McCance
A regionally varying habitat model to inform management for greater sage-grouse persistence across their range
Identifying habitat needs for species with large distributions is challenging because species-habitat associations may vary across scales and regions (spatial nonstationarity). Furthermore, management efforts often cross jurisdictional boundaries, complicating the development of cohesive conservation strategies among management entities. The greater sage-grouse (Centrocercus urophasianus) is a rap
Authors
Gregory T. Wann, Nathan D. Van Schmidt, Jessica E. Shyvers, Bryan C. Tarbox, Megan M. McLachlan, Michael S. O'Donnell, Anthony J Titolo, Peter S. Coates, David R. Edmunds, Julie A. Heinrichs, Adrian P. Monroe, Cameron L. Aldridge
Defining biologically relevant and hierarchically nested population units to inform wildlife management
Wildlife populations are increasingly affected by natural and anthropogenic changes that negatively alter biotic and abiotic processes at multiple spatiotemporal scales and therefore require increased wildlife management and conservation efforts. However, wildlife management boundaries frequently lack biological context and mechanisms to assess demographic data across the multiple spatiotemporal s
Authors
Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Adrian P. Monroe, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser, Lief A. Wiechman
Defining fine-scaled population structure among continuously distributed populations
Understanding wildlife population structure and connectivity can help managers identify conservation strategies, as structure can facilitate the study of population changes and habitat connectivity can provide information on dispersal and biodiversity. To facilitate the use of wildlife monitoring data for improved adaptive management, we developed a novel approach to define hierarchical tiers (mul
Authors
Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Adrian P. Monroe, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser, Lief A. Wiechman
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases, version 1.2.0
Greater sage-grouse (Centrocercus urophasianus; hereafter referred to as sage-grouse) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the West (Hanser & Knick, 2011; Rowland et al., 2006). They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of
Scenario Analysis of Management Alternatives for Free-roaming Horse Populations (Version 1.0.0)
PopEquus is a predictive modeling tool to support decisions related to the management of free-roaming horse populations. It permits the simulation and comparison of how management alternatives influence horse population size and metrics associated with management. This repository uses R scripts with predictive functions from the PopEquus model to simulate how management alternatives (e.g., removin
PopEquus: A Predictive Modeling Tool to Support Management Decisions for Free-roaming Horse Populations, Version 1.0.1
PopEquus is a website application that can be used to understand trade-offs and inform decisions in free-roaming horse (Equus caballus) population management. The application (https://rconnect.usgs.gov/popequus/) contains a predictive population modeling tool that can be used to simulate how different management actions drive changes in horse population size, while measuring management costs and o
popcluster: hierarchical population monitoring frameworks, Version 2.0.0
We developed a method to construct hierarchically nested and biologically relevant groupings of similar habitats associated with field surveys while considering structure/connectedness (movements between habitats). This approach can support mobile species using high fidelity sites where monitoring during surveys occurs, such as birthing grounds, breeding grounds, or stopovers/seasonal habitats for
Spatial scale selection for greater sage-grouse population trends, Version 1.0.0
The distance within which populations respond to features in a landscape (scale of effect) can indicate how disturbance and management may affect wildlife. Using annual counts of male greater sage-grouse (Centrocercus urophasianus) attending 584 leks in southwest Wyoming (2003-2019) and estimates of sagebrush (Artemisia spp.) cover from a remote sensing product (Rigge et al., 2021; Monroe et al.,
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases, version 1.1.0
Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States. Sage-grouse are one of the most closely monitor
lcp_centrality: Defining least-cost paths and graph theory centrality measures
We present software that creates least-cost path spanning trees, a least-cost path minimum spanning tree, and graph theory centrality measures. The software was developed to support identification of population structures--specifically, greater sage-grouse (Centrocercus urophasianus), but also support other species or graph theory applications where least-cost paths are desired. We used habitat pa
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases
Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States. Sage-grouse are one of the most closely monitor
popcluster: Developing Hierarchical Population Monitoring Frameworks for mobile species with high site fidelity
The software "popcluster" constructs hierarchically nested groupings of similar habitats associated with field surveys while considering biological structure/connectedness (movements between habitats). This approach can support mobile species with high site fidelity where monitoring during surveys occurs on birthing grounds, breeding grounds, or stopovers/seasonal habitat for migratory species. Ea
Science and Products
Filter Total Items: 16
Data Harmonization for Greater Sage-Grouse Populations
Long-term wildlife monitoring is imperative for understanding population changes that can inform managers. However, working with population data collected by different organizations, across multiple jurisdictions, and over long time periods can be challenging due to different data management approaches and organizational priorities. Through this project, we aimed to collaborate with eleven state...
Estimating road age and traffic volume for disturbance assessments in Wyoming
In 2021, the Fort Collins Science Center initiated a research effort to estimate road age and annual traffic volumes across the majority of roads in Wyoming for assessing impacts to wildlife. Data on roads often focus on the ‘where’ (for example, spatial features) but neglect the ‘when’ (for example, road age) or ‘how much’ (for example, traffic volume). Knowing these characteristics is critical...
A user-friendly decision support tool for monitoring and managing greater sage-grouse populations
Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with BLM and State Wildlife Agencies to develop a hierarchical population monitoring framework for managing greater sage-grouse ( Centrocercus urophasianus ) populations and the sagebrush ecosystems that they depend upon for survival and reproduction. This hierarchical population monitoring strategy now...
Hierarchical Population Monitoring Framework for Greater Sage-Grouse
Greater sage-grouse ( Centrocercus urophasianus ) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and state wildlife agencies to develop a...
Estimating trends for greater sage-grouse populations within highly stochastic environments
Land and wildlife managers require accurate estimates of sensitive species’ trends to help guide conservation decisions that maintain biodiversity and promote healthy ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and State Wildlife Agencies to develop a hierarchical population monitoring...
A targeted annual warning system (TAWS) for identifying aberrant declines in greater sage-grouse populations
Land and wildlife managers require accurate estimates of sensitive species’ trends to help guide conservation decisions that maintain biodiversity and promote healthy ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and State Wildlife Agencies to develop a hierarchical population monitoring...
Modeling chronic wasting disease prevalence through time to investigate mechanisms of spread in deer and elk in Wyoming
Diseases are challenging to manage in wild ungulate populations, particularly when there are many ways the disease can spread. Wildlife management agencies often need to take action to control disease spread, but it is unclear which actions are most effective in constraining disease because the importance of different spread mechanisms is not fully understood. This project will aid state wildlife...
Understanding How Vehicular Traffic Impacts Sage-Grouse Populations In Wyoming
In 2021, the Fort Collins Science Center initiated a research effort to 1) assess how traffic in Wyoming has impacted sage-grouse population growth rates, 2) identify the spatial scales at which these effects are most evident, and 3) identify what levels of traffic result in sage-grouse population declines.
Road Ecology
Roads and their associated infrastructure can cause substantial and pervasive effects on adjacent ecosystems but are necessary for the movement and redistribution of goods, people, wealth, and natural resources in modern societies. The Fort Collins Science Center has initiated research looking at how roads and traffic may be impacting sagebrush ecosystems and the wildlife inhabiting them. This...
Hierarchical Units of Greater Sage-Grouse Populations Informing Wildlife Management
Wildlife management boundaries frequently lack biological context, such as information on habitat resource availability and wildlife movements. To address this, we developed multiple levels of biologically relevant and hierarchically nested greater sage-grouse ( Centrocercus urophasianus ) population units that could facilitate management and conservation of populations and habitats.
Mapping Grassland Bird Community Distribution under a Changing Climate
Researchers from the U.S. Geological Survey, the U.S. Department of Agriculture-Agricultural Research Service, and Oklahoma State University are studying the distribution of grassland bird communities across the western Great Plains to anticipate how species distributions may respond to a changing climate.
What Will Grassland Bird Communities Look Like Under a Changing Climate?
Over the last half-century, grassland bird populations have declined far more than any other bird group in North America. This is because native grasslands were largely replaced with croplands, and many remaining prairies are degraded. Land managers and conservation organizations are racing to preserve and restore these ecosystems to stem further loss of grassland birds. Given limited resources, b
Wyoming road age and traffic volume estimated with machine learning and graph theory
We provide a roads dataset that includes the spatial location of roads, the estimated age of each road, and the predicted traffic volume of each road between 1986 and 2020 in Wyoming, USA. Our annual estimates of traffic volume are available for each road and include estimates for all vehicles and truck only traffic. Moreover, we provide the estimated age of each road, where a minimum value of 198
A neutral landscape approach to evaluating the umbrella species concept for greater sage-grouse in northeast Wyoming, USA
Greater sage-grouse (Centrocercus urophasianus) has been identified as a potential umbrella species with the assumption that conservation of their habitats in sagebrush ecosystems may benefit multiple other wildlife species, but co-occurrence with an umbrella species does not necessarily guarantee species will respond positively to management for sage-grouse. This may be particularly true for ecot
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
Sagebrush (Artemisia spp.) scale of effect for Greater Sage-grouse (Centrocercus urophasianus) population trends in southwest Wyoming, USA 2003-2019
The distance within which populations respond to features in a landscape (scale of effect) can indicate how disturbance and management may affect wildlife. Using annual counts of male Greater Sage-grouse (Centrocercus urophasianus) attending 584 leks in southwest Wyoming (2003-2019) and estimates of sagebrush cover from the Rangeland Condition Monitoring Assessment and Projection (RCMAP), we used
Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 3.0, February 2024)
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. These data represent an updated population trend analysis and Targeted Annual Warning System (TAWS) for state and federal land and wildlife managers to use best-available science
U.S. range-wide spatial prediction layers of lek persistence probabilities for greater sage-grouse
This dataset contains two predictive lek (breeding site) persistence raster layers covering the U.S. greater sage-grouse distribution. In the United States, locations where males display and breed with females (i.e., leks) are often monitored annually by state wildlife agencies, providing valuable information on the persistence of birds in the surrounding areas. A U.S. range-wide lek database was
Hierarchically nested and biologically relevant range-wide monitoring frameworks for greater sage-grouse, western United States
We produced 13 hierarchically nested cluster levels that reflect the results from developing a hierarchical monitoring framework for greater sage-grouse across the western United States. Polygons (clusters) within each cluster level group a population of sage-grouse leks (sage-grouse breeding grounds) and each level increasingly groups lek clusters from previous levels. We developed the hierarchic
Greater sage-grouse population structure and connectivity data to inform the development of hierarchical population units (western United States)
We present five hierarchical demarcations of greater sage-grouse population structure, representing the spatial structure of populations which can exist due to differences in dispersal abilities, landscape configurations, and mating behavior. These demarcations represent Thiessen polygons of graph constructs (least-cost path [LCP] minimum spanning trees [MST; LCP-MST]) representing greater sage-gr
Spatial layers generated by the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) applied in Southern Wyoming
All data layers included in this data release were created using the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) tool, which relies on spatial inputs on species distributions and likelihood of restoration success to select parcels for sagebrush restoration. The PReSET is a workflow that relies on the prioritizr package in program R to identify parcels for effective and meaningfu
Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Nevada and Wyoming, Interim
We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies
Filter Total Items: 23
Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions
Road networks and their associated vehicular traffic disturb many terrestrial systems, but inventories of roads used to assess these effects often focus on the ‘where’ (e.g., local road type and density) and neglect the ‘when’ (e.g., temporal disturbance) or ‘how much’ (e.g., traffic volume disturbance). We developed annual estimates of the ‘when’ (road age) and ‘how much’ (vehicular traffic volum
Authors
Richard D. Inman, Benjamin Seward Robb, Michael S. O'Donnell, David R. Edmunds, Matthew J Holloran, Cameron L. Aldridge
Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2023
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land-use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with best-available science to help guide management and conservation plans aimed at b
Authors
Brian G. Prochazka, Peter S. Coates, Cameron L. Aldridge, Michael S. O'Donnell, David R. Edmunds, Adrian P. Monroe, Steve E. Hanser, Lief A. Wiechman, Michael P. Chenaille
PopEquus: a predictive modeling tool to support management decisions for free-roaming horse populations
Feral horse (Equus caballus) population management is a challenging problem around the world because populations often exhibit density-independent growth, can exert negative ecological effects on ecosystems, and require great cost to be managed. However, strong value-based connections between people and horses cause contention around management decisions. To help make informed decisions, natural r
Authors
Brian Patrick Folt, Kathryn A. Schoenecker, L. Stefan Ekernas, David R. Edmunds, Mark T. Hannon
Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2022
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land-use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with best-available science to help guide current management and conservation plans ai
Authors
Peter S. Coates, Brian G. Prochazka, Cameron L. Aldridge, Michael S. O'Donnell, David R. Edmunds, Adrian P. Monroe, Steve E. Hanser, Lief A. Wiechman, Michael P. Chenaille
Using neutral landscape models to evaluate the umbrella species concept in an ecotone
ContextSteep declines in North American rangeland biodiversity have prompted researchers and managers to use umbrella species as a tool to manage diverse suites of co-occurring wildlife, but efficacy of this method has been variable. Evaluation of prairie and shrubland grouse as umbrellas is typically restricted to observed overlap between umbrella and background species, but this approach does no
Authors
Courtney Duchardt, Adrian P. Monroe, David R. Edmunds, Matthew James Holloran, Alison G. Holloran, Cameron L. Aldridge
A targeted annual warning system developed for the conservation of a sagebrush indicator species
A fundamental goal of population ecologists is to identify drivers responsible for temporal variation in abundance. Understanding whether variation is associated with environmental stochasticity or anthropogenic disturbances, which are more amenable to management action, is crucial yet difficult to achieve. Here, we present a hierarchical monitoring framework that models rates of change in abundan
Authors
Brian G. Prochazka, Peter S. Coates, Michael S. O'Donnell, David R. Edmunds, Adrian P. Monroe, Mark A. Ricca, Gregory T. Wann, Steve E. Hanser, Lief A. Wiechman, Kevin E. Doherty, Michael P. Chenaille, Cameron L. Aldridge
Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2021
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with best-available science to help guide current management and conservation plans ai
Authors
Peter S. Coates, Brian G. Prochazka, Cameron L. Aldridge, Michael S. O'Donnell, David R. Edmunds, Adrian P. Monroe, Steve E. Hanser, Lief A. Wiechman, Michael P. Chenaille
Spatial scale selection for informing species conservation in a changing landscape
Identifying the relevant spatial scale at which species respond to features in a landscape (scale of effect) is a pressing research need as managers work to reduce biodiversity loss amid a variety of environmental challenges. Until recently, researchers often evaluated a subset of potential scales of effect inferred from previous studies in other locations, often based on different biological resp
Authors
Adrian P. Monroe, Julie A. Heinrichs, Ashley L. Whipple, Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge
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 S. O'Donnell, David R. Edmunds, Peter S. Coates, Brian G. Prochazka, Jennifer A. Fike, Todd B. Cross, Bradley C. Fedy, Sara J. Oyler-McCance
A regionally varying habitat model to inform management for greater sage-grouse persistence across their range
Identifying habitat needs for species with large distributions is challenging because species-habitat associations may vary across scales and regions (spatial nonstationarity). Furthermore, management efforts often cross jurisdictional boundaries, complicating the development of cohesive conservation strategies among management entities. The greater sage-grouse (Centrocercus urophasianus) is a rap
Authors
Gregory T. Wann, Nathan D. Van Schmidt, Jessica E. Shyvers, Bryan C. Tarbox, Megan M. McLachlan, Michael S. O'Donnell, Anthony J Titolo, Peter S. Coates, David R. Edmunds, Julie A. Heinrichs, Adrian P. Monroe, Cameron L. Aldridge
Defining biologically relevant and hierarchically nested population units to inform wildlife management
Wildlife populations are increasingly affected by natural and anthropogenic changes that negatively alter biotic and abiotic processes at multiple spatiotemporal scales and therefore require increased wildlife management and conservation efforts. However, wildlife management boundaries frequently lack biological context and mechanisms to assess demographic data across the multiple spatiotemporal s
Authors
Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Adrian P. Monroe, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser, Lief A. Wiechman
Defining fine-scaled population structure among continuously distributed populations
Understanding wildlife population structure and connectivity can help managers identify conservation strategies, as structure can facilitate the study of population changes and habitat connectivity can provide information on dispersal and biodiversity. To facilitate the use of wildlife monitoring data for improved adaptive management, we developed a novel approach to define hierarchical tiers (mul
Authors
Michael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Adrian P. Monroe, Peter S. Coates, Brian G. Prochazka, Steve E. Hanser, Lief A. Wiechman
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases, version 1.2.0
Greater sage-grouse (Centrocercus urophasianus; hereafter referred to as sage-grouse) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the West (Hanser & Knick, 2011; Rowland et al., 2006). They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of
Scenario Analysis of Management Alternatives for Free-roaming Horse Populations (Version 1.0.0)
PopEquus is a predictive modeling tool to support decisions related to the management of free-roaming horse populations. It permits the simulation and comparison of how management alternatives influence horse population size and metrics associated with management. This repository uses R scripts with predictive functions from the PopEquus model to simulate how management alternatives (e.g., removin
PopEquus: A Predictive Modeling Tool to Support Management Decisions for Free-roaming Horse Populations, Version 1.0.1
PopEquus is a website application that can be used to understand trade-offs and inform decisions in free-roaming horse (Equus caballus) population management. The application (https://rconnect.usgs.gov/popequus/) contains a predictive population modeling tool that can be used to simulate how different management actions drive changes in horse population size, while measuring management costs and o
popcluster: hierarchical population monitoring frameworks, Version 2.0.0
We developed a method to construct hierarchically nested and biologically relevant groupings of similar habitats associated with field surveys while considering structure/connectedness (movements between habitats). This approach can support mobile species using high fidelity sites where monitoring during surveys occurs, such as birthing grounds, breeding grounds, or stopovers/seasonal habitats for
Spatial scale selection for greater sage-grouse population trends, Version 1.0.0
The distance within which populations respond to features in a landscape (scale of effect) can indicate how disturbance and management may affect wildlife. Using annual counts of male greater sage-grouse (Centrocercus urophasianus) attending 584 leks in southwest Wyoming (2003-2019) and estimates of sagebrush (Artemisia spp.) cover from a remote sensing product (Rigge et al., 2021; Monroe et al.,
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases, version 1.1.0
Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States. Sage-grouse are one of the most closely monitor
lcp_centrality: Defining least-cost paths and graph theory centrality measures
We present software that creates least-cost path spanning trees, a least-cost path minimum spanning tree, and graph theory centrality measures. The software was developed to support identification of population structures--specifically, greater sage-grouse (Centrocercus urophasianus), but also support other species or graph theory applications where least-cost paths are desired. We used habitat pa
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases
Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States. Sage-grouse are one of the most closely monitor
popcluster: Developing Hierarchical Population Monitoring Frameworks for mobile species with high site fidelity
The software "popcluster" constructs hierarchically nested groupings of similar habitats associated with field surveys while considering biological structure/connectedness (movements between habitats). This approach can support mobile species with high site fidelity where monitoring during surveys occurs on birthing grounds, breeding grounds, or stopovers/seasonal habitat for migratory species. Ea