USGS scientist Jessica Mikenas collects surface soil pH data on decommissioned well pad.
Travis W Nauman, Ph.D. (Former Employee)
Science and Products
Southwest Energy Exploration, Development, and Reclamation (SWEDR)
Approximately 35% of the US and approximately 82% of DOI lands are “drylands” found throughout the western US. These lands contain oil, gas, oil shale, shale oil, and tar sand deposits and the exploration for and extraction of these resources has resulted in hundreds of thousands of operating and abandoned wells across the West. These arid and semi-arid lands have unique soil and plant communities...
New Tools for Modern Land Management Decisions
In an era of rapid land use changes and shifting climates, it is imperative that land managers and policymakers have actionable and current information available for decision processes. In this work, we seek to meet these needs through new data products and decision support tools built on digital soil mapping, new vegetation cover maps, agency inventory and monitoring data sets, and cutting-edge...
Wind Erosion and Dust Emissions on the Colorado Plateau
Wind erosion of soils and dust emissions are a significant resource management challenge on the Colorado Plateau. Loss of topsoil and associated aeolian sediment (wind-driven sediment) movement can lead to reduced soil fertility as well as abrasion and burial of vegetation. Dust in the atmosphere poses a threat to human health, visual resources, and regional water supplies (due to interactions...
Filter Total Items: 13
Monthly normalized scaled surface wind friction velocity in the Uinta-Piceance Basin (UT, CO) for March to October from 2001 to 2016
These data were compiled to conduct a study on the effect of oil and gas development on dust emission potential in the Upper Colorado River Basin. The objectives of the study were to 1) assess the effect of oil and gas development on surface roughness, and 2) model the resultant effect of oil and gas development on sediment mass flux for a range of 10-m wind speeds and threshold wind friction velo
Aeolian mass flux data for the Colorado Plateau
These data were compiled to measure airborne horizontal mass flux of sediments moved by wind across soils, climates, vegetation types, and land uses on the Colorado Plateau. Objectives of our study were to quantify spatial and temporal patterns in wind erosion and further our understanding of how soil and site setting, climate, and land uses are controlling wind erosion and horizontal mass flux. T
Plant cover, climate, grazing disturbance, and soil class data from 1991-2020 compiled from remotely sensed data on two retired grazing allotments in Capitol Reef National Park, Utah, USA
These data were compiled for use by researchers and land managers in studies of post-grazing change in Capitol Reef National Park. The data were initially used for and are associated with the McNellis et al., 2023 (see Larger Work Citation). Objective(s) of our study were to study landscape change (specifically plant cover measured through remote sensing) through time in Capitol Reef National Park
Soil, geologic, geomorphic, climate, and vegetation data from long-term monitoring plots (2009 - 2018) in Arches, Canyonlands, and Capitol Reef National Parks, Utah, USA
These data (all data tables for the data release) represent a suite of biotic and abiotic variables that characterized plant communities and the geologic, geomorphic, edaphic, climatic, and land use history context in which distinct plant communities occur. In 2009, the National Park Service's Inventory and Monitoring program for the Northern Colorado Plateau Network (NCPN) began measuring vegetat
Sagebrush 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 disturba
Soil family particle size class map for Colorado River Basin above Lake Mead
These data were compiled to support analysis of remote sensing data using the Disturbance Automated Reference Toolset (Nauman et al., 2017). The objective of our study was to assess results of pinyon and juniper land treatments. These data represent major soil types as defined primarily by soil texture and depth, but also geology, parent material, and geomorphology for relevant features that disti
Soil geomorphic unit and ecological site group maps for the rangelands of the Upper Colorado River Basin region
This data release includes maps characterizing soil geomorphic units (SGUs), climate zones, and ecological site groups that classify landscapes by ecological potential and behavior for use in land management in the Upper Colorado River Basin (UCRB) region. Soil geomorphic units were created by analysis and grouping of ecological sites (ESs), a more detailed local system of ecological units managed
Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30 meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, t
Salinity yield modeling spatial data for the Upper Colorado River Basin, USA
These data (vector and raster) were compiled for spatial modeling of salinity yield sources in the Upper Colorado River Basin (UCRB) and describe different scales of watersheds in the Upper Colorado River Basin (UCRB) for use in salinity yield modeling. Salinity yield refers to how much dissolved salts are picked up in surface waters that could be expected to be measured at the watershed outlet po
Predictive maps of 2D and 3D surface soil properties and associated uncertainty for the Upper Colorado River Basin, USA
The raster datasets in this data release are maps of soil surface properties that were used in analyzing different approaches for digital soil mapping. They include maps of soil pH, electrical conductivity, soil organic matter, and soil summed fine and very fine sand contents that were created using both 2D and 3D modeling strategies. For each property a map was created using both 2D and 3D approa
Aeolian mass flux, rangeland monitoring site, and unpaved road reach data
These data were compiled for monitoring and analyzing the amount of windblown (aeolian) sediment at 100 cm height near Moab, UT. Big Springs Number Eight (BSNE) field aeolian passive sediment traps are summarized by location and time period in shapefiles. Shapefiles also include attributes used to analyze patterns in the aeolian transport. Three different BSNE shapefiles represent 1) a network of
5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau
This data release contains a single vector shapefile and two text documents with code used to generate the data product. This vector shapefile contains the locations of 365 "plugged and abandoned" well sites from across the Colorado Plateau with their respective relative fractional vegetation cover (RFVC) values. Oil and gas pads are often developed for production, and then capped, reclaimed, an
USGS scientist collects data on decommissioned well pad
USGS scientist Jessica Mikenas collects surface soil pH data on decommissioned well pad.
Filter Total Items: 23
Livestock removal increases plant cover across a heterogeneous dryland landscape on the Colorado Plateau
Livestock removal is increasingly used as a management option to mitigate the negative impacts of grazing-related disturbances on rangelands. Removal generally increases plant cover, but it is unclear when, where, and by how much plant and soil cover changes can be expected. On the Colorado Plateau, complex geology, topography, soils, and climate all interact to mediate the relationship between la
Authors
Brandon E McNellis, Anna C Knight, Travis W. Nauman, Samuel Norton Chambers, C.W. Brungard, S.E. Fick, C.G. Livensperger, C.G. Borthwick, Michael C. Duniway
Geologic, geomorphic, and edaphic underpinnings of dryland ecosystems: Colorado Plateau landscapes in a changing world
Drylands represent more than 41% of the global land surface and are at degradation risk due to land use and climate change. Developing strategies to mitigate degradation and restore drylands in the face of these threats requires an understanding of how drylands are shaped by not only soils and climate, but also geology and geomorphology. However, few studies have completed such a comprehensive ana
Authors
Michael C. Duniway, Christopher Benson, Travis W. Nauman, Anna C Knight, John B. Bradford, Seth M. Munson, Dana L. Witwicki, Carolyn Livensperger, Matthew W. Van Scoyoc, Terry T Fisk, David Thoma, Mark E. Miller
Assessing 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 demons
Authors
Adrian P. Monroe, Travis W. Nauman, Cameron L. Aldridge, Michael S. O'Donnell, Michael C. Duniway, Brian S. Cade, Daniel Manier, Patrick J. Anderson
Guiding principles for using satellite-derived maps in rangeland management
On the GroundRangeland management has entered a new era with the accessibility and advancement of satellite-derived maps.Maps provide a comprehensive view of rangelands in space and time, and challenge us to think critically about natural variability.Here, we advance the practice of using satellite-derived maps with four guiding principles designed to increase end user confidence and thereby acces
Authors
Brady W Allred, Megan K Creutzburg, John C Carlson, Christopher C Cole, Colin M. Dovichin, Michael C. Duniway, Matthew O. Jones, Jeremy D Maestas, David E. Naugle, Travis W. Nauman, Gregory S Okin, Matthew C Reeves, Matthew B. Rigge, Shannon L Savage, Dirac Twidwell, Daniel R. Uden, Bo Zhou
A quantitative soil-geomorphic framework for developing and mapping ecological site groups
Land management decisions need context about how landscapes will respond to different circumstances or actions. As ecologists’ understanding of nonlinear ecological dynamics has evolved into state-and-transition models (STMs), they have put more emphasis on defining and mapping the soil, geomorphological, and climate parameters that mediate these dynamics. The US Department of Agriculture Natural
Authors
Travis W. Nauman, Samuel S Burch, Joel T. Humphries, Anna C Knight, Michael C. Duniway
What determines the effectiveness of Pinyon-Juniper clearing treatments? Evidence from the remote sensing archive and counter-factual scenarios
In the intermountain western US, expansion of Pinyon (Pinus edulis) and Juniper (Juniperus spp.) woodlands (PJ) into grasslands and shrublands is a pervasive phenomenon, and an example of the global trend towards enhanced woody growth in drylands. Due to the perceived impacts of these expansions on ecosystem services related to biodiversity, hydrology, soil stability, fire prevention, and livestoc
Authors
Stephen E. Fick, Travis W. Nauman, Colby C. Brungard, Michael C. Duniway
Sampling design workflows and tools to support adaptive monitoring and management
On the Ground• Adaptive land management requires monitoring of resource conditions, which requires choices about where and when to monitor a landscape.• Designing a sampling design for a monitoring program can be broken down in to eight steps: identifying questions, defining objectives, selecting reporting units, deciding data collection methods, defining the sample frame, selecting an appropriate
Authors
Nelson G. Stauffer, Michael C. Duniway, Jason W. Karl, Travis W. Nauman
Regional ensemble modeling reduces uncertainty for digital soil mapping
Recent country and continental-scale digital soil mapping efforts have used a single model to predict soil properties across large regions. However, different ecophysiographic regions within large-extent areas are likely to have different soil-landscape relationships so models built specifically for these regions may more accurately capture these relationships relative to a ‘global’ model. We ask
Authors
Colby C. Brungard, Travis W. Nauman, Michael C. Duniway, Kari E. Veblen, Kyle C. Nehring, David S. White, Shawn W. Salley, Julius Anchang
Evaluating natural experiments in ecology: Using synthetic controls in assessments of remotely sensed land treatments
Many important ecological phenomena occur on large spatial scales and/or are unplanned and thus do not easily fit within analytical frameworks that rely on randomization, replication, and interspersed a priori controls for statistical comparison. Analyses of such large‐scale, natural experiments are common in the health and econometrics literature, where techniques have been developed to derive in
Authors
Stephen E. Fick, Travis W. Nauman, Colby C. Brungard, Michael C. Duniway
A hybrid approach for predictive soil property mapping using conventional soil survey data
Soil property maps are important for land management and earth systems modeling. A new hybrid point-disaggregation predictive soil property mapping strategy improved mapping in the Colorado River Basin, and can be applied to other areas with similar data (e.g. conterminous United States). This new approach increased sample size ~6-fold over past efforts. Random forests related environmental raste
Authors
Travis W. Nauman, Michael C. Duniway
Digital mapping of ecological land units using a nationally scalable modeling framework
Ecological site descriptions (ESDs) and associated state-and-transition models (STMs) provide a nationally consistent classification and information system for defining ecological land units for management applications in the United States. Current spatial representations of ESDs, however, occur via soil mapping and are therefore confined to the spatial resolution used to map soils within a survey
Authors
Jonathan J. Maynard, Travis W. Nauman, Shawn W. Salley, Brandon T. Bestelmeyer, Michael C. Duniway, Curtis J. Talbot, Joel R. Brown
Wind erosion and dust from US drylands: a review of causes, consequences, and solutions in a changing world
Erosion by wind is one of the principal processes associated with land degradation in drylands
and is a significant concern to land managers and policymakers globally. In the drylands of North America, millions of tons of soil are lost to wind erosion annually. Of the 60 million ha in the United States identified as most vulnerable to wind erosion (arid and dominated by fine sandy soils), 64% are man
Authors
Michael C. Duniway, Alix A. Pfennigwerth, Stephen E. Fick, Travis W. Nauman, Jayne Belnap, Nichole N. Barger
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
Southwest Energy Exploration, Development, and Reclamation (SWEDR)
Approximately 35% of the US and approximately 82% of DOI lands are “drylands” found throughout the western US. These lands contain oil, gas, oil shale, shale oil, and tar sand deposits and the exploration for and extraction of these resources has resulted in hundreds of thousands of operating and abandoned wells across the West. These arid and semi-arid lands have unique soil and plant communities...
New Tools for Modern Land Management Decisions
In an era of rapid land use changes and shifting climates, it is imperative that land managers and policymakers have actionable and current information available for decision processes. In this work, we seek to meet these needs through new data products and decision support tools built on digital soil mapping, new vegetation cover maps, agency inventory and monitoring data sets, and cutting-edge...
Wind Erosion and Dust Emissions on the Colorado Plateau
Wind erosion of soils and dust emissions are a significant resource management challenge on the Colorado Plateau. Loss of topsoil and associated aeolian sediment (wind-driven sediment) movement can lead to reduced soil fertility as well as abrasion and burial of vegetation. Dust in the atmosphere poses a threat to human health, visual resources, and regional water supplies (due to interactions...
Filter Total Items: 13
Monthly normalized scaled surface wind friction velocity in the Uinta-Piceance Basin (UT, CO) for March to October from 2001 to 2016
These data were compiled to conduct a study on the effect of oil and gas development on dust emission potential in the Upper Colorado River Basin. The objectives of the study were to 1) assess the effect of oil and gas development on surface roughness, and 2) model the resultant effect of oil and gas development on sediment mass flux for a range of 10-m wind speeds and threshold wind friction velo
Aeolian mass flux data for the Colorado Plateau
These data were compiled to measure airborne horizontal mass flux of sediments moved by wind across soils, climates, vegetation types, and land uses on the Colorado Plateau. Objectives of our study were to quantify spatial and temporal patterns in wind erosion and further our understanding of how soil and site setting, climate, and land uses are controlling wind erosion and horizontal mass flux. T
Plant cover, climate, grazing disturbance, and soil class data from 1991-2020 compiled from remotely sensed data on two retired grazing allotments in Capitol Reef National Park, Utah, USA
These data were compiled for use by researchers and land managers in studies of post-grazing change in Capitol Reef National Park. The data were initially used for and are associated with the McNellis et al., 2023 (see Larger Work Citation). Objective(s) of our study were to study landscape change (specifically plant cover measured through remote sensing) through time in Capitol Reef National Park
Soil, geologic, geomorphic, climate, and vegetation data from long-term monitoring plots (2009 - 2018) in Arches, Canyonlands, and Capitol Reef National Parks, Utah, USA
These data (all data tables for the data release) represent a suite of biotic and abiotic variables that characterized plant communities and the geologic, geomorphic, edaphic, climatic, and land use history context in which distinct plant communities occur. In 2009, the National Park Service's Inventory and Monitoring program for the Northern Colorado Plateau Network (NCPN) began measuring vegetat
Sagebrush 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 disturba
Soil family particle size class map for Colorado River Basin above Lake Mead
These data were compiled to support analysis of remote sensing data using the Disturbance Automated Reference Toolset (Nauman et al., 2017). The objective of our study was to assess results of pinyon and juniper land treatments. These data represent major soil types as defined primarily by soil texture and depth, but also geology, parent material, and geomorphology for relevant features that disti
Soil geomorphic unit and ecological site group maps for the rangelands of the Upper Colorado River Basin region
This data release includes maps characterizing soil geomorphic units (SGUs), climate zones, and ecological site groups that classify landscapes by ecological potential and behavior for use in land management in the Upper Colorado River Basin (UCRB) region. Soil geomorphic units were created by analysis and grouping of ecological sites (ESs), a more detailed local system of ecological units managed
Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30 meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, t
Salinity yield modeling spatial data for the Upper Colorado River Basin, USA
These data (vector and raster) were compiled for spatial modeling of salinity yield sources in the Upper Colorado River Basin (UCRB) and describe different scales of watersheds in the Upper Colorado River Basin (UCRB) for use in salinity yield modeling. Salinity yield refers to how much dissolved salts are picked up in surface waters that could be expected to be measured at the watershed outlet po
Predictive maps of 2D and 3D surface soil properties and associated uncertainty for the Upper Colorado River Basin, USA
The raster datasets in this data release are maps of soil surface properties that were used in analyzing different approaches for digital soil mapping. They include maps of soil pH, electrical conductivity, soil organic matter, and soil summed fine and very fine sand contents that were created using both 2D and 3D modeling strategies. For each property a map was created using both 2D and 3D approa
Aeolian mass flux, rangeland monitoring site, and unpaved road reach data
These data were compiled for monitoring and analyzing the amount of windblown (aeolian) sediment at 100 cm height near Moab, UT. Big Springs Number Eight (BSNE) field aeolian passive sediment traps are summarized by location and time period in shapefiles. Shapefiles also include attributes used to analyze patterns in the aeolian transport. Three different BSNE shapefiles represent 1) a network of
5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau
This data release contains a single vector shapefile and two text documents with code used to generate the data product. This vector shapefile contains the locations of 365 "plugged and abandoned" well sites from across the Colorado Plateau with their respective relative fractional vegetation cover (RFVC) values. Oil and gas pads are often developed for production, and then capped, reclaimed, an
USGS scientist collects data on decommissioned well pad
USGS scientist collects data on decommissioned well pad
USGS scientist Jessica Mikenas collects surface soil pH data on decommissioned well pad.
USGS scientist Jessica Mikenas collects surface soil pH data on decommissioned well pad.
Filter Total Items: 23
Livestock removal increases plant cover across a heterogeneous dryland landscape on the Colorado Plateau
Livestock removal is increasingly used as a management option to mitigate the negative impacts of grazing-related disturbances on rangelands. Removal generally increases plant cover, but it is unclear when, where, and by how much plant and soil cover changes can be expected. On the Colorado Plateau, complex geology, topography, soils, and climate all interact to mediate the relationship between la
Authors
Brandon E McNellis, Anna C Knight, Travis W. Nauman, Samuel Norton Chambers, C.W. Brungard, S.E. Fick, C.G. Livensperger, C.G. Borthwick, Michael C. Duniway
Geologic, geomorphic, and edaphic underpinnings of dryland ecosystems: Colorado Plateau landscapes in a changing world
Drylands represent more than 41% of the global land surface and are at degradation risk due to land use and climate change. Developing strategies to mitigate degradation and restore drylands in the face of these threats requires an understanding of how drylands are shaped by not only soils and climate, but also geology and geomorphology. However, few studies have completed such a comprehensive ana
Authors
Michael C. Duniway, Christopher Benson, Travis W. Nauman, Anna C Knight, John B. Bradford, Seth M. Munson, Dana L. Witwicki, Carolyn Livensperger, Matthew W. Van Scoyoc, Terry T Fisk, David Thoma, Mark E. Miller
Assessing 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 demons
Authors
Adrian P. Monroe, Travis W. Nauman, Cameron L. Aldridge, Michael S. O'Donnell, Michael C. Duniway, Brian S. Cade, Daniel Manier, Patrick J. Anderson
Guiding principles for using satellite-derived maps in rangeland management
On the GroundRangeland management has entered a new era with the accessibility and advancement of satellite-derived maps.Maps provide a comprehensive view of rangelands in space and time, and challenge us to think critically about natural variability.Here, we advance the practice of using satellite-derived maps with four guiding principles designed to increase end user confidence and thereby acces
Authors
Brady W Allred, Megan K Creutzburg, John C Carlson, Christopher C Cole, Colin M. Dovichin, Michael C. Duniway, Matthew O. Jones, Jeremy D Maestas, David E. Naugle, Travis W. Nauman, Gregory S Okin, Matthew C Reeves, Matthew B. Rigge, Shannon L Savage, Dirac Twidwell, Daniel R. Uden, Bo Zhou
A quantitative soil-geomorphic framework for developing and mapping ecological site groups
Land management decisions need context about how landscapes will respond to different circumstances or actions. As ecologists’ understanding of nonlinear ecological dynamics has evolved into state-and-transition models (STMs), they have put more emphasis on defining and mapping the soil, geomorphological, and climate parameters that mediate these dynamics. The US Department of Agriculture Natural
Authors
Travis W. Nauman, Samuel S Burch, Joel T. Humphries, Anna C Knight, Michael C. Duniway
What determines the effectiveness of Pinyon-Juniper clearing treatments? Evidence from the remote sensing archive and counter-factual scenarios
In the intermountain western US, expansion of Pinyon (Pinus edulis) and Juniper (Juniperus spp.) woodlands (PJ) into grasslands and shrublands is a pervasive phenomenon, and an example of the global trend towards enhanced woody growth in drylands. Due to the perceived impacts of these expansions on ecosystem services related to biodiversity, hydrology, soil stability, fire prevention, and livestoc
Authors
Stephen E. Fick, Travis W. Nauman, Colby C. Brungard, Michael C. Duniway
Sampling design workflows and tools to support adaptive monitoring and management
On the Ground• Adaptive land management requires monitoring of resource conditions, which requires choices about where and when to monitor a landscape.• Designing a sampling design for a monitoring program can be broken down in to eight steps: identifying questions, defining objectives, selecting reporting units, deciding data collection methods, defining the sample frame, selecting an appropriate
Authors
Nelson G. Stauffer, Michael C. Duniway, Jason W. Karl, Travis W. Nauman
Regional ensemble modeling reduces uncertainty for digital soil mapping
Recent country and continental-scale digital soil mapping efforts have used a single model to predict soil properties across large regions. However, different ecophysiographic regions within large-extent areas are likely to have different soil-landscape relationships so models built specifically for these regions may more accurately capture these relationships relative to a ‘global’ model. We ask
Authors
Colby C. Brungard, Travis W. Nauman, Michael C. Duniway, Kari E. Veblen, Kyle C. Nehring, David S. White, Shawn W. Salley, Julius Anchang
Evaluating natural experiments in ecology: Using synthetic controls in assessments of remotely sensed land treatments
Many important ecological phenomena occur on large spatial scales and/or are unplanned and thus do not easily fit within analytical frameworks that rely on randomization, replication, and interspersed a priori controls for statistical comparison. Analyses of such large‐scale, natural experiments are common in the health and econometrics literature, where techniques have been developed to derive in
Authors
Stephen E. Fick, Travis W. Nauman, Colby C. Brungard, Michael C. Duniway
A hybrid approach for predictive soil property mapping using conventional soil survey data
Soil property maps are important for land management and earth systems modeling. A new hybrid point-disaggregation predictive soil property mapping strategy improved mapping in the Colorado River Basin, and can be applied to other areas with similar data (e.g. conterminous United States). This new approach increased sample size ~6-fold over past efforts. Random forests related environmental raste
Authors
Travis W. Nauman, Michael C. Duniway
Digital mapping of ecological land units using a nationally scalable modeling framework
Ecological site descriptions (ESDs) and associated state-and-transition models (STMs) provide a nationally consistent classification and information system for defining ecological land units for management applications in the United States. Current spatial representations of ESDs, however, occur via soil mapping and are therefore confined to the spatial resolution used to map soils within a survey
Authors
Jonathan J. Maynard, Travis W. Nauman, Shawn W. Salley, Brandon T. Bestelmeyer, Michael C. Duniway, Curtis J. Talbot, Joel R. Brown
Wind erosion and dust from US drylands: a review of causes, consequences, and solutions in a changing world
Erosion by wind is one of the principal processes associated with land degradation in drylands
and is a significant concern to land managers and policymakers globally. In the drylands of North America, millions of tons of soil are lost to wind erosion annually. Of the 60 million ha in the United States identified as most vulnerable to wind erosion (arid and dominated by fine sandy soils), 64% are man
Authors
Michael C. Duniway, Alix A. Pfennigwerth, Stephen E. Fick, Travis W. Nauman, Jayne Belnap, Nichole N. Barger
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.
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