Travis W Nauman, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 13
Automated Reference Toolset (ART)Data
These environmental raster covariate, geospatial vector data, and tabular data were compiled as input data for the Automated Reference Toolset (ART) algorithm. These data are a subset of all the environmetal raster covariate data used in the ART algorithm. Users are advised to read the mansuscript, associated with these data and identified as the larger work citation. It is recommended that data u
Filter Total Items: 23
POLARIS properties: 30-meter probabilistic maps of soil properties over the contiguous United States
Soils play a critical role in the cycling of water, energy, and carbon in the Earth system. Until recently, due primarily to a lack of soil property maps of a sufficiently high‐quality and spatial detail, a minor emphasis has been placed on providing high‐resolution measured soil parameter estimates for land surface models and hydrologic models. This study introduces Probabilistic Remapping of SSU
Authors
Nathaniel W. Chaney, Budiman Minasny, Jonathan D. Herman, Travis W. Nauman, Colby W. Brungard, Cristine L. S. Morgan, Alexander B. McBratney, Eric F. Wood, Yohannes Yimam
Approaches for improving field soil identification
Use of soil survey information by non-soil-scientists is often limited by their inability to select the correct soil map unit component (COMP). Here, we developed two approaches that can be deployed to smartphones for non-soil-scientists to identify COMP from the location alone or location together with easily observed field data (i.e., slope, depth to the restrictive layer, and soil texture by de
Authors
Zhaosheng Fan, Skye A. Wills, Jeffrey E. Herrick, Travis W. Nauman, Colby W. Brungard, Dylan E. Beaudette, Matthew R. Levi, Anthony T. O’Geen
Soil property and class maps of the conterminous United States at 100-meter spatial resolution
With growing concern for the depletion of soil resources, conventional soil maps need to be updated and provided at finer and finer resolutions to be able to support spatially explicit human–landscape models. Three US soil point datasets—the National Cooperative Soil Survey Characterization Database, the National Soil Information System, and the Rapid Carbon Assessment dataset—were combined with a
Authors
Amanda Ramcharan, Tomislav Hengl, Travis W. Nauman, Colby W. Brungard, Sharon Waltman, Skye A. Wills, James Thompson
Elevated aeolian sediment transport on the Colorado Plateau, USA: The role of grazing, vehicle disturbance, and increasing aridity
Dryland wind transport of sediment can accelerate soil erosion, degrade air quality, mobilize dunes, decrease water supply, and damage infrastructure. We measured aeolian sediment horizontal mass flux (q) at 100 cm height using passive aspirated sediment traps to better understand q variability on the Colorado Plateau. Measured q‘hot spots’ rival the highest ever recorded including 7,460 g m−2 day
Authors
Travis W. Nauman, Michael C. Duniway, Nichloas P. Webb, Jayne Belnap
Landsat time series analysis of fractional plant cover changes on abandoned energy development sites
Oil and natural gas development in the western United States has increased substantially in recent decades as technological advances like horizontal drilling and hydraulic fracturing have made extraction more commercially viable. Oil and gas pads are often developed for production, and then capped, reclaimed, and left to recover when no longer productive. Understanding the rates, controls, and deg
Authors
Eric K. Waller, Miguel L. Villarreal, Travis B. Poitras, Travis W. Nauman, Michael C. Duniway
Identifying optimal remotely-sensed variables for ecosystem monitoring in Colorado Plateau drylands
Water-limited ecosystems often recover slowly following anthropogenic or natural disturbance. Multitemporal remote sensing can be used to monitor ecosystem recovery after disturbance; however, dryland vegetation cover can be challenging to accurately measure due to sparse cover and spectral confusion between soils and non-photosynthetic vegetation. With the goal of optimizing a monitoring approach
Authors
Travis B. Poitras, Miguel L. Villarreal, Eric K. Waller, Travis W. Nauman, Mark E. Miller, Michael C. Duniway
Disturbance automated reference toolset (DART): Assessing patterns in ecological recovery from energy development on the Colorado Plateau
A new disturbance automated reference toolset (DART) was developed to monitor human land surface impacts using soil-type and ecological context. DART identifies reference areas with similar soils, topography, and geology; and compares the disturbance condition to the reference area condition using a quantile-based approach based on a satellite vegetation index. DART was able to represent 26–55% of
Authors
Travis W. Nauman, Michael C. Duniway, Miguel L. Villarreal, Travis B. Poitras
Generalizing ecological site concepts of the Colorado Plateau for landscape-level applications
Numerous ecological site descriptions in the southern Utah portion of the Colorado Plateau can be difficult to navigate, so we held a workshop aimed at adding value and functionality to the current ecological site system.We created new groups of ecological sites and drafted state-and-transition models for these new groups.We were able to distill the current large number of ecological sites in the
Authors
Michael C. Duniway, Travis W. Nauman, Jamin K. Johanson, Shane Green, Mark E. Miller, Brandon T. Bestelmeyer
The automated reference toolset: A soil-geomorphic ecological potential matching algorithm
Ecological inventory and monitoring data need referential context for interpretation. Identification of appropriate reference areas of similar ecological potential for site comparison is demonstrated using a newly developed automated reference toolset (ART). Foundational to identification of reference areas was a soil map of particle size in the control section (PSCS), a theme in US Soil Taxonomy.
Authors
Travis W. Nauman, Michael C. Duniway
POLARIS: A 30-meter probabilistic soil series map of the contiguous United States
A new complete map of soil series probabilities has been produced for the contiguous United States at a 30 m spatial resolution. This innovative database, named POLARIS, is constructed using available high-resolution geospatial environmental data and a state-of-the-art machine learning algorithm (DSMART-HPC) to remap the Soil Survey Geographic (SSURGO) database. This 9 billion grid cell database i
Authors
Nathaniel W. Chaney, Eric F Wood, Alexander B McBratney, Jonathan W Hempel, Travis W. Nauman, Colby W. Brungard, Nathan P Odgers
An inventory and monitoring plan for a Sonoran Desert ecosystem; Barry M. Goldwater Range-West
Marine Corps Air Station Yuma manages the Barry M. Goldwater Range-West, which encompasses approximately 2,800 square kilometers of Sonoran Desert habitat in southwestern Arizona. The Barry M. Goldwater Range is a major U.S. military installation designed as an air combat training location for the U.S. Marine Corps and U.S. Air Force, but it also includes some of the most pristine desert habitat i
Authors
Miguel L. Villarreal, Charles van Riper, Robert E. Lovich, Robert L. Palmer, Travis Nauman, Sarah E. Studd, Sam Drake, Abigail S. Rosenberg, Jim Malusa, Ronald L. Pearce
Non-USGS Publications**
Nauman, T.W., Thompson, J.A., Teets, J., Dilliplane, T., Bell, J.W., Connolly, S.J., Liebermann, H.J., & Yoast, K. 2015. Pedoecological Modeling to Guide Forest Restoration using Ecological Site Descriptions. Soil Science Society of America Journal.
Nauman, T.W., J.T. Thompson, J. Teets, T. Dilliplane, J. Bell, S.J. Connolly, H.J. Liebermann, and K. Yoast. 2015. Ghosts of the forest: mapping pedomemory to guide forest restoration. Geoderma 147-148.
Nauman, T.W., Thompson, J.A., Rasmussen, C.R. 2014. Semi-Automated Disaggregation of a Conventional Soil Map using Knowledge Driven Data Mining and Random Forests in the Sonoran Desert, USA. Photogrammetric Engineering and Remote Sensing.
Nauman, T.W. and Thompson, J.A., 2014. Semi-automated disaggregation of conventional soil maps using knowledge driven data mining and classification trees. Geoderma, 213(0): 385-399.
Helmick, J.L., Nauman, T.W. Thompson, J.A. Developing and assessing prediction intervals for soil property maps derived from legacy databases. GlobalSoilMap Conference, Orleans, France. 7 to 9 October 2013
Gwilliam, E. L., K. Raymond, S. Buckley, A. Hubbard, C. McIntyre, and T. Nauman. 2014. Streams monitoring at Montezuma Castle and Tuzigoot national monuments: status report for water years 2009–2011. Natural Resource Technical Report. NPS/SODN/NRTR—2014/871. National Park Service. Fort Collins, Colorado
Nauman, T., Thompson, J.A., Odgers, N. and Libohova, Z., 2012. Fuzzy Disaggregation of Conventional Soil Maps using Database Knowledge Extraction to Produce Soil Property Maps. In: B. Minasny, B. Malone and A. McBratney (Editors), Digital Soil Assessments and Beyond: 5th Global Workshop on Digital Soil Mapping, Sydney, Australia.
Thompson, J.A., Nauman, T., Odgers, N., Libohova, Z. and Hempel, J., 2012. Harmonization of Legacy Soil Maps in North America: Status, Trends, and Implications for Digital Soil Mapping Efforts. In: A. McBratney, B. Minasny and B. Malone (Editors), The 5th Global Workshop on Digital Soil Mapping. Digital Soil Assessments and Beyond, Sydney, Australia.
Nauman T. 2010. Erosion Assessment for Montezuma Castle and Tuzigoot National Monuments. Natural Resource Technical Report. NPS/SODN/NRTR—2010/281. Natural Resource Program Center. Fort Collins, Colorado
Hubbard, J. A., C. L. McIntyre, S. E. Studd, T. Nauman, D. Angell, K. Beaupré, B. Vance, and M. K. Connor. 2012. Terrestrial vegetation and soils monitoring protocol and standard operating procedures: Sonoran Desert and Chihuahuan Desert networks, version 1.1. Natural Resource Report NPS/SODN/NRR—2012/509. National Park Service, Fort Collins, Colorado
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Filter Total Items: 13
Automated Reference Toolset (ART)Data
These environmental raster covariate, geospatial vector data, and tabular data were compiled as input data for the Automated Reference Toolset (ART) algorithm. These data are a subset of all the environmetal raster covariate data used in the ART algorithm. Users are advised to read the mansuscript, associated with these data and identified as the larger work citation. It is recommended that data u
Filter Total Items: 23
POLARIS properties: 30-meter probabilistic maps of soil properties over the contiguous United States
Soils play a critical role in the cycling of water, energy, and carbon in the Earth system. Until recently, due primarily to a lack of soil property maps of a sufficiently high‐quality and spatial detail, a minor emphasis has been placed on providing high‐resolution measured soil parameter estimates for land surface models and hydrologic models. This study introduces Probabilistic Remapping of SSU
Authors
Nathaniel W. Chaney, Budiman Minasny, Jonathan D. Herman, Travis W. Nauman, Colby W. Brungard, Cristine L. S. Morgan, Alexander B. McBratney, Eric F. Wood, Yohannes Yimam
Approaches for improving field soil identification
Use of soil survey information by non-soil-scientists is often limited by their inability to select the correct soil map unit component (COMP). Here, we developed two approaches that can be deployed to smartphones for non-soil-scientists to identify COMP from the location alone or location together with easily observed field data (i.e., slope, depth to the restrictive layer, and soil texture by de
Authors
Zhaosheng Fan, Skye A. Wills, Jeffrey E. Herrick, Travis W. Nauman, Colby W. Brungard, Dylan E. Beaudette, Matthew R. Levi, Anthony T. O’Geen
Soil property and class maps of the conterminous United States at 100-meter spatial resolution
With growing concern for the depletion of soil resources, conventional soil maps need to be updated and provided at finer and finer resolutions to be able to support spatially explicit human–landscape models. Three US soil point datasets—the National Cooperative Soil Survey Characterization Database, the National Soil Information System, and the Rapid Carbon Assessment dataset—were combined with a
Authors
Amanda Ramcharan, Tomislav Hengl, Travis W. Nauman, Colby W. Brungard, Sharon Waltman, Skye A. Wills, James Thompson
Elevated aeolian sediment transport on the Colorado Plateau, USA: The role of grazing, vehicle disturbance, and increasing aridity
Dryland wind transport of sediment can accelerate soil erosion, degrade air quality, mobilize dunes, decrease water supply, and damage infrastructure. We measured aeolian sediment horizontal mass flux (q) at 100 cm height using passive aspirated sediment traps to better understand q variability on the Colorado Plateau. Measured q‘hot spots’ rival the highest ever recorded including 7,460 g m−2 day
Authors
Travis W. Nauman, Michael C. Duniway, Nichloas P. Webb, Jayne Belnap
Landsat time series analysis of fractional plant cover changes on abandoned energy development sites
Oil and natural gas development in the western United States has increased substantially in recent decades as technological advances like horizontal drilling and hydraulic fracturing have made extraction more commercially viable. Oil and gas pads are often developed for production, and then capped, reclaimed, and left to recover when no longer productive. Understanding the rates, controls, and deg
Authors
Eric K. Waller, Miguel L. Villarreal, Travis B. Poitras, Travis W. Nauman, Michael C. Duniway
Identifying optimal remotely-sensed variables for ecosystem monitoring in Colorado Plateau drylands
Water-limited ecosystems often recover slowly following anthropogenic or natural disturbance. Multitemporal remote sensing can be used to monitor ecosystem recovery after disturbance; however, dryland vegetation cover can be challenging to accurately measure due to sparse cover and spectral confusion between soils and non-photosynthetic vegetation. With the goal of optimizing a monitoring approach
Authors
Travis B. Poitras, Miguel L. Villarreal, Eric K. Waller, Travis W. Nauman, Mark E. Miller, Michael C. Duniway
Disturbance automated reference toolset (DART): Assessing patterns in ecological recovery from energy development on the Colorado Plateau
A new disturbance automated reference toolset (DART) was developed to monitor human land surface impacts using soil-type and ecological context. DART identifies reference areas with similar soils, topography, and geology; and compares the disturbance condition to the reference area condition using a quantile-based approach based on a satellite vegetation index. DART was able to represent 26–55% of
Authors
Travis W. Nauman, Michael C. Duniway, Miguel L. Villarreal, Travis B. Poitras
Generalizing ecological site concepts of the Colorado Plateau for landscape-level applications
Numerous ecological site descriptions in the southern Utah portion of the Colorado Plateau can be difficult to navigate, so we held a workshop aimed at adding value and functionality to the current ecological site system.We created new groups of ecological sites and drafted state-and-transition models for these new groups.We were able to distill the current large number of ecological sites in the
Authors
Michael C. Duniway, Travis W. Nauman, Jamin K. Johanson, Shane Green, Mark E. Miller, Brandon T. Bestelmeyer
The automated reference toolset: A soil-geomorphic ecological potential matching algorithm
Ecological inventory and monitoring data need referential context for interpretation. Identification of appropriate reference areas of similar ecological potential for site comparison is demonstrated using a newly developed automated reference toolset (ART). Foundational to identification of reference areas was a soil map of particle size in the control section (PSCS), a theme in US Soil Taxonomy.
Authors
Travis W. Nauman, Michael C. Duniway
POLARIS: A 30-meter probabilistic soil series map of the contiguous United States
A new complete map of soil series probabilities has been produced for the contiguous United States at a 30 m spatial resolution. This innovative database, named POLARIS, is constructed using available high-resolution geospatial environmental data and a state-of-the-art machine learning algorithm (DSMART-HPC) to remap the Soil Survey Geographic (SSURGO) database. This 9 billion grid cell database i
Authors
Nathaniel W. Chaney, Eric F Wood, Alexander B McBratney, Jonathan W Hempel, Travis W. Nauman, Colby W. Brungard, Nathan P Odgers
An inventory and monitoring plan for a Sonoran Desert ecosystem; Barry M. Goldwater Range-West
Marine Corps Air Station Yuma manages the Barry M. Goldwater Range-West, which encompasses approximately 2,800 square kilometers of Sonoran Desert habitat in southwestern Arizona. The Barry M. Goldwater Range is a major U.S. military installation designed as an air combat training location for the U.S. Marine Corps and U.S. Air Force, but it also includes some of the most pristine desert habitat i
Authors
Miguel L. Villarreal, Charles van Riper, Robert E. Lovich, Robert L. Palmer, Travis Nauman, Sarah E. Studd, Sam Drake, Abigail S. Rosenberg, Jim Malusa, Ronald L. Pearce
Non-USGS Publications**
Nauman, T.W., Thompson, J.A., Teets, J., Dilliplane, T., Bell, J.W., Connolly, S.J., Liebermann, H.J., & Yoast, K. 2015. Pedoecological Modeling to Guide Forest Restoration using Ecological Site Descriptions. Soil Science Society of America Journal.
Nauman, T.W., J.T. Thompson, J. Teets, T. Dilliplane, J. Bell, S.J. Connolly, H.J. Liebermann, and K. Yoast. 2015. Ghosts of the forest: mapping pedomemory to guide forest restoration. Geoderma 147-148.
Nauman, T.W., Thompson, J.A., Rasmussen, C.R. 2014. Semi-Automated Disaggregation of a Conventional Soil Map using Knowledge Driven Data Mining and Random Forests in the Sonoran Desert, USA. Photogrammetric Engineering and Remote Sensing.
Nauman, T.W. and Thompson, J.A., 2014. Semi-automated disaggregation of conventional soil maps using knowledge driven data mining and classification trees. Geoderma, 213(0): 385-399.
Helmick, J.L., Nauman, T.W. Thompson, J.A. Developing and assessing prediction intervals for soil property maps derived from legacy databases. GlobalSoilMap Conference, Orleans, France. 7 to 9 October 2013
Gwilliam, E. L., K. Raymond, S. Buckley, A. Hubbard, C. McIntyre, and T. Nauman. 2014. Streams monitoring at Montezuma Castle and Tuzigoot national monuments: status report for water years 2009–2011. Natural Resource Technical Report. NPS/SODN/NRTR—2014/871. National Park Service. Fort Collins, Colorado
Nauman, T., Thompson, J.A., Odgers, N. and Libohova, Z., 2012. Fuzzy Disaggregation of Conventional Soil Maps using Database Knowledge Extraction to Produce Soil Property Maps. In: B. Minasny, B. Malone and A. McBratney (Editors), Digital Soil Assessments and Beyond: 5th Global Workshop on Digital Soil Mapping, Sydney, Australia.
Thompson, J.A., Nauman, T., Odgers, N., Libohova, Z. and Hempel, J., 2012. Harmonization of Legacy Soil Maps in North America: Status, Trends, and Implications for Digital Soil Mapping Efforts. In: A. McBratney, B. Minasny and B. Malone (Editors), The 5th Global Workshop on Digital Soil Mapping. Digital Soil Assessments and Beyond, Sydney, Australia.
Nauman T. 2010. Erosion Assessment for Montezuma Castle and Tuzigoot National Monuments. Natural Resource Technical Report. NPS/SODN/NRTR—2010/281. Natural Resource Program Center. Fort Collins, Colorado
Hubbard, J. A., C. L. McIntyre, S. E. Studd, T. Nauman, D. Angell, K. Beaupré, B. Vance, and M. K. Connor. 2012. Terrestrial vegetation and soils monitoring protocol and standard operating procedures: Sonoran Desert and Chihuahuan Desert networks, version 1.1. Natural Resource Report NPS/SODN/NRR—2012/509. National Park Service, Fort Collins, Colorado
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.