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    • Nutrient Load Data used to Quantify Regional Effects of Agricultural Best Management Practices: An application of the 2012 SPARROW models for the Midwest, Northeast, and Southeast United States

    Metadata Updated: October 29, 2023

    Nitrogen and phosphorus losses from agricultural areas have impacted the water quality of downstream rivers, lakes, and oceans. As a result, investment in the adoption of agricultural best management practices (BMPs) has grown but assessments of their effectiveness at large spatial scales have been sparse. This study applies regional Spatially Referenced Regression On Watershed-attributes (SPARROW) models developed for the Midwest, Northeast, and Southeast regions of the United States to quantify regional effects of BMPs on nutrient losses from agricultural lands. These models were used because they account for specific BMPs in the prediction of instream nutrient loads. This data release accompanies the journal article "Quantifying regional effects of best management practices on nutrient losses from agricultural lands" (https:// doi:10.5066/pending), and it contains the input and output data for the modeling scenarios that were evaluated relative to the 2012 regional SPARROW models.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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    Dates

    Metadata Created Date June 1, 2023
    Metadata Updated Date October 29, 2023

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 1, 2023
    Metadata Updated Date October 29, 2023
    Publisher U.S. Geological Survey
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/2b6a470216457fc165e9f1c744700c17
    Identifier USGS:6059112dd34e1894882f7adc
    Data Last Modified 20211004
    Category geospatial
    Public Access Level public
    Bureau Code 010:12
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://datainventory.doi.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 8bb06df4-bf61-4450-aab9-3a60cc37e34d
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -113.7744,27.4104,-66.3135,48.9511
    Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
    Source Datajson Identifier True
    Source Hash 95d549ca58e8b85cb1a0477e944cf20de9ffe9f8bc331ce2416e16bbf7dde45c
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -113.7744, 27.4104, -113.7744, 48.9511, -66.3135, 48.9511, -66.3135, 27.4104, -113.7744, 27.4104}

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