New Tools for Modern Land Management Decisions
In an era of rapid land use changes, 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 analytical frameworks. By building on large databases of field observations, available remote sensing, and cloud computing, we are able to create new, decision-relevant information more quickly.
Ecological Site Group maps for the Upper Colorado River Basin
WebDART: A Cutting-edge Web Tool that Evaluates Land Condition
Background & Importance
An opportunity for achieving this is through analysis of past land management and actions. Here, we apply a technique from the econometric literature that can account for these unplanned actions, called the synthetic control, to assess landscape change and treatment effectiveness.
It is also important to connect existing and new scientific information to lands where decisions are being made. As an extension of our soil mapping work, we and partners from the Natural Resources Conservation Service (NRCS) and Bureau of Land Management (BLM) are mapping broad land units that share similar land potential & ecological dynamics and then developing synthesis information for the mapped units, including decision support tools.
Our current focus for these efforts is the Upper Colorado River Basin and fire fuels management, sage grouse habitats, and energy development.
Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution
30m Resolution soil maps for the Colorado River Basin
Below are other science projects associated with this research.
Supporting energy and mineral development through successful reclamation
Powering Progress: How Science Can Fuel the Energy Resources Life Cycle
WebDART: A Cutting-edge Web Tool that Evaluates Land Condition
Southwest Fire Innovation Landscape Network: Advanced tools for fuel monitoring and assessment of wildfire risk
Wind Erosion and Dust Emissions on the Colorado Plateau
Below are USGS data associated with this research.
State and Transition Classifications for Ecological Sites in the Upper Colorado River Basin, USA State and Transition Classifications for Ecological Sites in the Upper Colorado River Basin, USA
Exposure, sensitivity, and vulnerability to drivers of ecological change for Ecological Site Groups of southeastern Utah, USA Exposure, sensitivity, and vulnerability to drivers of ecological change for Ecological Site Groups of southeastern Utah, USA
Predicted Ecological States of the Semiarid Warm Sandy and Loamy Uplands Ecological Site Group in the Upper Colorado River Basin, Based on Vegetation Functional Group Cover Data from 2021 Predicted Ecological States of the Semiarid Warm Sandy and Loamy Uplands Ecological Site Group in the Upper Colorado River Basin, Based on Vegetation Functional Group Cover Data from 2021
Data for Annual maps of ecological states for two ecological site groups in the Upper Colorado River Basin during 1986-2022 Data for Annual maps of ecological states for two ecological site groups in the Upper Colorado River Basin during 1986-2022
Aeolian mass flux data for the Colorado Plateau Aeolian mass flux data for the Colorado Plateau
Geodatabase of oil and gas pads and roads within the Bureau of Land Management's Carlsbad Field Office administrative boundary, New Mexico Geodatabase of oil and gas pads and roads within the Bureau of Land Management's Carlsbad Field Office administrative boundary, New Mexico
Soil family particle size class map for Colorado River Basin above Lake Mead Soil family particle size class map for Colorado River Basin above Lake Mead
Soil geomorphic unit and ecological site group maps for the rangelands of the Upper Colorado River Basin region Soil geomorphic unit and ecological site group maps for the rangelands of the Upper Colorado River Basin region
Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead
5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau 5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau
Automated Reference Toolset (ART)Data Automated Reference Toolset (ART)Data
Below are publications associated with this research.
Vulnerability of different Colorado Plateau land types to drivers of change Vulnerability of different Colorado Plateau land types to drivers of change
Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States
Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States
Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model
Shifts in suitability of pinyon-juniper communities: A climate adaptation framework for range-wide management of arid woodland resources Shifts in suitability of pinyon-juniper communities: A climate adaptation framework for range-wide management of arid woodland resources
Mapping ecological states in the upper Colorado River basin: Implications for fire management Mapping ecological states in the upper Colorado River basin: Implications for fire management
Mapping predicted ecological states at landscape scales using remote sensing data and machine learning Mapping predicted ecological states at landscape scales using remote sensing data and machine learning
Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups
Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change
Synoptic analysis and WRF-Chem model simulation of dust events in the southwestern United States Synoptic analysis and WRF-Chem model simulation of dust events in the southwestern United States
Ecological dissimilarity matters more than geographical distance when predicting land surface indicators using machine learning Ecological dissimilarity matters more than geographical distance when predicting land surface indicators using machine learning
The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management
Below are the partners associated with this research.
In an era of rapid land use changes, 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 analytical frameworks. By building on large databases of field observations, available remote sensing, and cloud computing, we are able to create new, decision-relevant information more quickly.
Ecological Site Group maps for the Upper Colorado River Basin
WebDART: A Cutting-edge Web Tool that Evaluates Land Condition
Background & Importance
An opportunity for achieving this is through analysis of past land management and actions. Here, we apply a technique from the econometric literature that can account for these unplanned actions, called the synthetic control, to assess landscape change and treatment effectiveness.
It is also important to connect existing and new scientific information to lands where decisions are being made. As an extension of our soil mapping work, we and partners from the Natural Resources Conservation Service (NRCS) and Bureau of Land Management (BLM) are mapping broad land units that share similar land potential & ecological dynamics and then developing synthesis information for the mapped units, including decision support tools.
Our current focus for these efforts is the Upper Colorado River Basin and fire fuels management, sage grouse habitats, and energy development.
Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution
30m Resolution soil maps for the Colorado River Basin
Below are other science projects associated with this research.
Supporting energy and mineral development through successful reclamation
Powering Progress: How Science Can Fuel the Energy Resources Life Cycle
WebDART: A Cutting-edge Web Tool that Evaluates Land Condition
Southwest Fire Innovation Landscape Network: Advanced tools for fuel monitoring and assessment of wildfire risk
Wind Erosion and Dust Emissions on the Colorado Plateau
Below are USGS data associated with this research.
State and Transition Classifications for Ecological Sites in the Upper Colorado River Basin, USA State and Transition Classifications for Ecological Sites in the Upper Colorado River Basin, USA
Exposure, sensitivity, and vulnerability to drivers of ecological change for Ecological Site Groups of southeastern Utah, USA Exposure, sensitivity, and vulnerability to drivers of ecological change for Ecological Site Groups of southeastern Utah, USA
Predicted Ecological States of the Semiarid Warm Sandy and Loamy Uplands Ecological Site Group in the Upper Colorado River Basin, Based on Vegetation Functional Group Cover Data from 2021 Predicted Ecological States of the Semiarid Warm Sandy and Loamy Uplands Ecological Site Group in the Upper Colorado River Basin, Based on Vegetation Functional Group Cover Data from 2021
Data for Annual maps of ecological states for two ecological site groups in the Upper Colorado River Basin during 1986-2022 Data for Annual maps of ecological states for two ecological site groups in the Upper Colorado River Basin during 1986-2022
Aeolian mass flux data for the Colorado Plateau Aeolian mass flux data for the Colorado Plateau
Geodatabase of oil and gas pads and roads within the Bureau of Land Management's Carlsbad Field Office administrative boundary, New Mexico Geodatabase of oil and gas pads and roads within the Bureau of Land Management's Carlsbad Field Office administrative boundary, New Mexico
Soil family particle size class map for Colorado River Basin above Lake Mead Soil family particle size class map for Colorado River Basin above Lake Mead
Soil geomorphic unit and ecological site group maps for the rangelands of the Upper Colorado River Basin region Soil geomorphic unit and ecological site group maps for the rangelands of the Upper Colorado River Basin region
Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead
5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau 5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau
Automated Reference Toolset (ART)Data Automated Reference Toolset (ART)Data
Below are publications associated with this research.
Vulnerability of different Colorado Plateau land types to drivers of change Vulnerability of different Colorado Plateau land types to drivers of change
Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States
Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States
Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model
Shifts in suitability of pinyon-juniper communities: A climate adaptation framework for range-wide management of arid woodland resources Shifts in suitability of pinyon-juniper communities: A climate adaptation framework for range-wide management of arid woodland resources
Mapping ecological states in the upper Colorado River basin: Implications for fire management Mapping ecological states in the upper Colorado River basin: Implications for fire management
Mapping predicted ecological states at landscape scales using remote sensing data and machine learning Mapping predicted ecological states at landscape scales using remote sensing data and machine learning
Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups
Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change
Synoptic analysis and WRF-Chem model simulation of dust events in the southwestern United States Synoptic analysis and WRF-Chem model simulation of dust events in the southwestern United States
Ecological dissimilarity matters more than geographical distance when predicting land surface indicators using machine learning Ecological dissimilarity matters more than geographical distance when predicting land surface indicators using machine learning
The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management
Below are the partners associated with this research.