Michael O'Donnell is an ecologist at the Fort Collins Science Center. His work focuses primarily on sagebrush ecosystems.
Michael O’Donnell is an ecologist who has worked primarily in sagebrush ecosystems since 2008. He has focused on integrating data-intensive scientific discovery approaches that can facilitate a gained understanding of ecological processes, leading to better-informed prescriptions for decision-making actions. He has investigated a variety of biotic and abiotic studies across the sagebrush biome, including sage-grouse population frameworks/trends and habitat modeling, state-and-transition models, fire simulations, soil-climate budgets, as well as, simulated land-use and climate change scenarios. He leverages information from a hybrid of scientific disciplines, such as ecology, geospatial sciences¸ remote sensing, statistics, and computer science to increase the understanding of complex multi-scale ecological relationships at community, regional, and global geographic extents.
Science and Products
Contributions to the development of the Western Association of Fish and Wildlife Agencies Sagebrush Conservation Strategy
Defining Multi-Scaled Functional Landscape Connectivity for the Sagebrush Biome to Support Management and Conservation Planning of Multiple Species
Understanding How Changes in Traffic Volume May Affect Sage-Grouse Population Dynamics Across Scales in Wyoming
Soil-Climate Modeling To Improve Understanding of Pattern and Processes in Sagebrush Ecosystems: A Spatially Explicit Soil Classification
Hierarchical Sage-Grouse Population Assessment Tool: Building a Foundation for True Adaptive Management
Resources for Understanding the Effects of Wind Energy Development
Investigating Impacts of Oil and Gas Development on Greater Sage-Grouse Using a Bayesian State-Space Model
Multi-scale Statewide Wyoming Greater Sage-grouse Trends Determined by Population Viability Analysis
Modeling Seasonal Habitat Requirements and Population Viability for Greater Sage-grouse in Wyoming
Sagebrush (Artemisia spp.) scale of effect for Greater Sage-grouse (Centrocercus urophasianus) population trends in southwest Wyoming, USA 2003-2019
Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (1960-2021)
U.S. range-wide spatial prediction layers of lek persistence probabilities for greater sage-grouse
Hierarchically nested and biologically relevant range-wide monitoring frameworks for greater sage-grouse, western United States
Soil-climate estimates in the western United States: climate averages (1981-2010)
Greater sage-grouse population structure and connectivity data to inform the development of hierarchical population units (western United States)
Gunnison sage-grouse habitat suitability of six satellite populations in southwestern Colorado: San Miguel, Crawford, Pinon Mesa, Dove Creek, Cerro Summit-Cimarron-Sims, and Poncha Pass
Sagebrush recovery analyzed with a dynamic reference approach in southwestern Wyoming, USA 1985-2018
Spatial layers generated by the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) applied in Southern Wyoming
Predicted (1989-2015) and forecasted (2015-2114) estimates for rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021)
Influences of Potential Oil and Gas Development and Future Climate on Sage-Grouse Declines and Redistribution
Compilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use Planning
A targeted annual warning system developed for the conservation of a sagebrush indicator species
Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2021
Spatial scale selection for informing species conservation in a changing landscape
Defining biologically relevant and hierarchically nested population units to inform wildlife management
Spatial estimates of soil moisture for understanding ecological potential and risk: a case study for arid and semi-arid ecosystems
Defining fine-scaled population structure among continuously distributed populations
Balancing model generality and specificity in management-focused habitat selection models for Gunnison sage-grouse
Assessing vegetation recovery from energy development using a dynamic reference approach
U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report
Prioritizing restoration areas to conserve multiple sagebrush-associated wildlife species
Synthesizing and analyzing long-term monitoring data: A greater sage-grouse case study
Range-wide greater sage-grouse hierarchical monitoring framework—Implications for defining population boundaries, trend estimation, and a targeted annual warning system
popcluster: hierarchical population monitoring frameworks, Version 2.0.0
Spatial scale selection for greater sage-grouse population trends, Version 1.0.0
spatial_nsm: Spatial estimates of soil-climate properties using a modified Newhall simulation model
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases, version 1.1.0
lcp_centrality: Defining least-cost paths and graph theory centrality measures
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases
popcluster: Developing Hierarchical Population Monitoring Frameworks for mobile species with high site fidelity
Geospatial Route Interface Tool (GRIT)
Science and Products
- Science
Contributions to the development of the Western Association of Fish and Wildlife Agencies Sagebrush Conservation Strategy
USGS scientists are contributing to the development of the Western Association of Fish and Wildlife Agencies Sagebrush Conservation Strategy, a strategy intended to provide guidance so that efforts to conserve the iconic greater sage-grouse can be expanded to the entire sagebrush biome to benefit the people and wildlife that depend on it.Defining Multi-Scaled Functional Landscape Connectivity for the Sagebrush Biome to Support Management and Conservation Planning of Multiple Species
USGS and Colorado State University scientists are modelling multispecies connectivity through intact and disturbed areas of the sagebrush landscape.Understanding How Changes in Traffic Volume May Affect Sage-Grouse Population Dynamics Across Scales in Wyoming
USGS researchers and partners are working to investigate how transportation activities may drive changes in sage-grouse populations, using annually time-stamped transportation from the Wyoming Department of Transportation and sage-grouse population data from the Wyoming Game and Fish Department.Soil-Climate Modeling To Improve Understanding of Pattern and Processes in Sagebrush Ecosystems: A Spatially Explicit Soil Classification
Resistance and resilience concepts provide an important framework for sagebrush habitat management. Existing spatial products have been developed using NRCS soil data; models using new data and methods can improve these products.Hierarchical Sage-Grouse Population Assessment Tool: Building a Foundation for True Adaptive Management
USGS scientists and colleagues have designed a hierarchical monitoring framework for greater sage-grouse in Nevada, Wyoming, and northeastern California that will provide land managers with a monitoring and detection system to identify sage-grouse breeding locations (known as leks), clusters of leks, and populations where intervention may be necessary to sustain populations and to evaluate...Resources for Understanding the Effects of Wind Energy Development
As the Nation strives to lessen its dependence on foreign oil, domestic energy production has increased dramatically. This is especially true for renewable energy sources such as wind: from 2007 to 2009, for example, wind energy development increased 341 percent in Wyoming (Fig. 1, Science tab), and it continues on that trajectory today. However, the effects of renewable energy development on...Investigating Impacts of Oil and Gas Development on Greater Sage-Grouse Using a Bayesian State-Space Model
USGS and university researchers analyzed changes in male sage-grouse lek counts in Wyoming from 1984 through 2008, measuring disturbance owing to oil and gas development.Multi-scale Statewide Wyoming Greater Sage-grouse Trends Determined by Population Viability Analysis
USGS scientists and partners investigated sage-grouse population trends in Wyoming and at multiple spatial scales.Modeling Seasonal Habitat Requirements and Population Viability for Greater Sage-grouse in Wyoming
USGS has developed Greater Sage-grouse habitat-selection models for the nesting, summer, late brood rearing, and winter life stages in Wyoming to assess habitat quality and responses change across large landscapes. - Data
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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 usedTrends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (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. 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 scienceU.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 wasHierarchically 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 hierarchicSoil-climate estimates in the western United States: climate averages (1981-2010)
We provide a collection of data reflecting estimates of soil-climate properties (moisture, temperature, and regimes) based on climate normals (1981-2010). Specifically, we provide estimates for soil moisture (monthly, seasonal, and annual), trends of spring and growing season soil moisture (Theil-Sen estimates), soil temperature and moisture regimes (STMRs; discrete classes defined by United StateGreater 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-grGunnison sage-grouse habitat suitability of six satellite populations in southwestern Colorado: San Miguel, Crawford, Pinon Mesa, Dove Creek, Cerro Summit-Cimarron-Sims, and Poncha Pass
We developed habitat selection models for Gunnison sage-grouse (Centrocercus minimus), a threatened species under the U.S. Endangered Species Act. We followed a management-centric modeling approach that sought to balance the need to evaluate the consistency of key habitat conditions and improvement actions across multiple, distinct populations, while allowing context-specific environmental variablSagebrush recovery analyzed with a dynamic reference approach in southwestern Wyoming, USA 1985-2018
Identifying ecologically relevant reference sites is important for evaluating ecosystem recovery, but the relevance of references that are temporally static is unclear in the context of vast landscapes with disturbance and environmental contexts varying over space and time. This question is pertinent for landscapes dominated by sagebrush (Artemisia spp.) which face a suite of threats from disturbaSpatial 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 meaningfuPredicted (1989-2015) and forecasted (2015-2114) estimates for rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021)
In 'Predicted (1989-2015) and forecasted (2015-2114) rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA (ver. 2.0, January 2021)', we provide spatially- and temporally-explicit maps of predictions for the rate of change and time to recovery and percent recovery of sagebrush cover after 100 years (Monroe et al. 2020). The rasters begiInfluences of Potential Oil and Gas Development and Future Climate on Sage-Grouse Declines and Redistribution
This project represents the data used in "Influences of potential oil and gas development and future climate on sage-grouse declines and redistribution." The data sets describe greater sage-grouse (Centrocercus urophasianus) population change, summarized in different boundaries within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Population changes were basCompilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use Planning
Management of transportation networks is affected by, and has effects on, natural and cultural resources through direct and indirect interactions. Until recently, the availability of such spatially explicit information has been limited; however, the data released here to the public will prove valuable for comparing existing networks and planning options with respect to potential impact to, or from - Publications
Filter Total Items: 39
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 abundanRange-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 aiSpatial 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 respDefining 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 sSpatial estimates of soil moisture for understanding ecological potential and risk: a case study for arid and semi-arid ecosystems
Soil temperature and moisture (soil-climate) affect plant growth and microbial metabolism, providing a mechanistic link between climate and growing conditions. However, spatially explicit soil-climate estimates that can inform management and research are lacking. We developed a framework to estimate spatiotemporal-varying soil moisture (monthly, annual, and seasonal) and temperature-moisture regimDefining 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 (mulBalancing model generality and specificity in management-focused habitat selection models for Gunnison sage-grouse
Identifying, protecting, and restoring habitats for declining wildlife populations is foundational to conservation and recovery planning for any species at risk of decline. Resource selection analysis is a key tool to assess habitat and prescribe management actions. Yet, it can be challenging to map suitable resource conditions across a wide range of ecological contexts and use the resulting modelAssessing vegetation recovery from energy development using a dynamic reference approach
Ecologically relevant references are useful for evaluating ecosystem recovery, but references that are temporally static may be less useful when environmental conditions and disturbances are spatially and temporally heterogeneous. This challenge is particularly acute for ecosystems dominated by sagebrush (Artemisia spp.), where communities may require decades to recover from disturbance. We demonsU.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2018 annual report
The Wyoming Landscape Conservation Initiative (WLCI) was established in 2007 as a collaborative interagency partnership to develop and implement science-based conservation actions. During the past 11 years, partners from U.S. Geological Survey (USGS), State and Federal land management agencies, universities, and the public have collaborated to implement a long-term (more than 10 years) science-basByEcosystems Mission Area, Water Resources Mission Area, Core Research Center, Earth Resources Observation and Science Center, Earth Resources Observation and Science (EROS) Center , Fort Collins Science Center, Nebraska Water Science Center, Northern Rocky Mountain Science Center, Core Research CenterPrioritizing restoration areas to conserve multiple sagebrush-associated wildlife species
Strategic restoration of altered habitat is one method for addressing worldwide biodiversity declines. Within the sagebrush steppe of western North America, habitat degradation has been linked to declines in many species, making restoration a priority for managers; however, limited funding, spatiotemporal variation in restoration success, and the need to manage for diverse wildlife species make deSynthesizing and analyzing long-term monitoring data: A greater sage-grouse case study
Long-term monitoring of natural resources is imperative for increasing the understanding of ecosystem processes, services, and how to manage those ecosystems to maintain or improve function. Challenges with using these data may occur because methods of monitoring changed over time, multiple organizations collect and manage data differently, and monetary resources fluctuate, affecting many aspectsRange-wide greater sage-grouse hierarchical monitoring framework—Implications for defining population boundaries, trend estimation, and a targeted annual warning system
Incorporating spatial and temporal scales into greater sage-grouse (Centrocercus urophasianus) population monitoring strategies is challenging and rarely implemented. Sage-grouse populations experience fluctuations in abundance that lead to temporal oscillations, making trend estimation difficult. Accounting for stochasticity is critical to reliably estimate population trends and investigate varia - Software
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 forSpatial 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.,spatial_nsm: Spatial estimates of soil-climate properties using a modified Newhall simulation model
We developed a software framework to estimate high-resolution spatiotemporal soil moisture (monthly, annual, and seasonal) and temperature-moisture regimes. Our approach builds on the Newhall simulation model, allowing for the substitution of data and parameters, such as climate, snowmelt, soil properties, alternative potential evapotranspiration equations, and air-soil temperature offsets. The Negrsg_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 monitorlcp_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 pagrsg_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 monitorpopcluster: 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 sGeospatial Route Interface Tool (GRIT)
The Geospatial Route Interface Tool (GRIT) is a Microsoft Windows desktop, graphical user interface application, written in an open source programming language (Python) that references ESRI Geographic Information System (GIS) python functions. The software streamlines and refines the process of analyzing transportation data and natural resources data, thereby improving the efficiency and standardi - News