Works matching AU Nauman, Travis W.
Results: 17
Oil and gas development influences potential for dust emission from the Upper Colorado River Basin, USA.
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- Earth Surface Processes & Landforms, 2024, v. 49, n. 11, p. 3292, doi. 10.1002/esp.5887
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Assessing vegetation recovery from energy development using a dynamic reference approach.
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- Ecology & Evolution (20457758), 2022, v. 12, n. 2, p. 1, doi. 10.1002/ece3.8508
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- Article
Synoptic Analysis and WRF‐Chem Model Simulation of Dust Events in the Southwestern United States.
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- Journal of Geophysical Research. Atmospheres, 2024, v. 129, n. 13, p. 1, doi. 10.1029/2023JD040650
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- Article
Semi-Automated Disaggregation of a Conventional Soil Map Using Knowledge Driven Data Mining and Random Forests in the Sonoran Desert, USA.
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- Photogrammetric Engineering & Remote Sensing, 2014, v. 80, n. 4, p. 353, doi. 10.14358/PERS.80.4.353
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Evaluating natural experiments in ecology: using synthetic controls in assessments of remotely sensed land treatments.
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- Ecological Applications, 2021, v. 31, n. 3, p. 1, doi. 10.1002/eap.2264
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Elevated aeolian sediment transport on the Colorado Plateau, USA: The role of grazing, vehicle disturbance, and increasing aridity.
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- Earth Surface Processes & Landforms, 2018, v. 43, n. 14, p. 2897, doi. 10.1002/esp.4457
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- Article
Geologic, geomorphic, and edaphic underpinnings of dryland ecosystems: Colorado Plateau landscapes in a changing world.
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- Ecosphere, 2022, v. 13, n. 11, p. 1, doi. 10.1002/ecs2.4273
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Wind erosion and dust from US drylands: a review of causes, consequences, and solutions in a changing world.
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- Ecosphere, 2019, v. 10, n. 3, p. N.PAG, doi. 10.1002/ecs2.2650
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Salinity Yield Modeling of the Upper Colorado River Basin Using 30‐m Resolution Soil Maps and Random Forests.
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- Water Resources Research, 2019, v. 55, n. 6, p. 4954, doi. 10.1029/2018WR024054
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POLARIS Soil Properties: 30‐m Probabilistic Maps of Soil Properties Over the Contiguous United States.
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- Water Resources Research, 2019, v. 55, n. 4, p. 2916, doi. 10.1029/2018WR022797
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- Article
Soil landscapes of the United States (SOLUS): Developing predictive soil property maps of the conterminous United States using hybrid training sets.
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- Soil Science Society of America Journal, 2024, v. 88, n. 6, p. 2046, doi. 10.1002/saj2.20769
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A hybrid approach for predictive soil property mapping using conventional soil survey data.
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- Soil Science Society of America Journal, 2020, v. 84, n. 4, p. 1170, doi. 10.1002/saj2.20080
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Digital Mapping of Ecological Land Units using a Nationally Scalable Modeling Framework.
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- Soil Science Society of America Journal, 2019, v. 83, n. 3, p. 666, doi. 10.2136/sssaj2018.09.0346
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- Article
Approaches for Improving Field Soil Identification.
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- Soil Science Society of America Journal, 2018, v. 82, n. 4, p. 871, doi. 10.2136/sssaj2017.09.0337
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- Article
The Automated Reference Toolset: A Soil-Geomorphic Ecological Potential Matching Algorithm.
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- Soil Science Society of America Journal, 2016, v. 80, n. 5, p. 1317, doi. 10.2136/sssaj2016.05.0151
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Pedoecological Modeling to Guide Forest Restoration using Ecological Site Descriptions.
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- Soil Science Society of America Journal, 2015, v. 79, n. 5, p. 1406, doi. 10.2136/sssaj2015.02.0062
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Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors.
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- Remote Sensing, 2021, v. 13, n. 9, p. 1782, doi. 10.3390/rs13091782
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