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Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management - v2

    This dataset includes code and data to recreate analysis from the manuscript "Nauman, T. W., Munson, S. M., Dhital, S., Webb, N. P., & Duniway, M. C. (2023). Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management. Science of The Total Environment (p. 164605). https://doi.org/10.1016/j.scitotenv.2023.164605". This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.

    Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management

      This dataset includes code and data to recreate analysis from the manuscript "Nauman, T. W., Munson, S. M., Dhital, S., Webb, N. P., & Duniway, M. C. (2023). Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management. Science of The Total Environment (p. 164605). https://doi.org/10.1016/j.scitotenv.2023.164605". This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.

      Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas (spatial files)

        To address the need for maps that characterize detailed land cover, including both agricultural and natural habitats, we combined two national datasets of land cover, the Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Vegetation Classification (NVC) and United States Department of Agriculture, National Agricultural Statistics Service (USDA-NASS) Cropland Data Layer (CDL). Our workflow leveraged strengths of the NVC and the CDL to produce annual land-use rasters for 2012-2021.

        Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas (tabular files)

          To address the need for maps that characterize detailed land cover, including both agricultural and natural habitats, we combined two national datasets of land cover, the Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Vegetation Classification (NVC) and United States Department of Agriculture, National Agricultural Statistics Service (USDA-NASS) Cropland Data Layer (CDL). Our workflow leveraged strengths of the NVC and the CDL to produce annual land-use rasters for 2012-2021.

          Agricultural land use by field: Upper Mississippi River Basin 2010-2020

            This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

            Geospatial Measurements of Soil Electrical Conductivity, Soil Salinity, and Soil Saturation Percentage in Irrigated Farmland

              The data are from soil salinity surveys conducted on California irrigated farmland between 1991 and 2017. The data consist of: (i.) geolocated field survey measurements of bulk soil electrical conductivity (ECa) and (ii.) laboratory determinations of soil salinity (ECe) and saturation percentage (SP) made on soil core sections extracted from the surveyed fields. The data comprise 277,624 ECa measurements and 8,575 ECe and SP determinations.

              Agricultural land use by field: Nebraska 2010-2020

                This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

                Agricultural land use by field: Illinois 2010-2020

                  This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.