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Agricultural Conservation Planning Framework (ACPF) Database

dataset
posted on 2024-02-08, 18:05 authored by David James, S.A. Porter, Mark D. Tomer

Spatial data on soils, land use, and topography, combined with knowledge of conservation effectiveness can be used to identify alternatives to reduce nutrient discharge from small watersheds. This database was developed to be used in conjunction with the Agricultural Conservation Planning Framework Toolkit.

Data comprise soil survey information and land use. Soil characterization data were extracted from the Natural Resources Conservation Service (NRCS) Web Soil Survey (Soil Survey Staff, 2013). Land use coverages were developed to represent agricultural fields and the types and rotations of agricultural crops and other land cover types. Land use boundaries were produced by editing a publicly available USDA field boundaries dataset (pre-2008), with all ownership and county-level attributes removed. To ensure these field polygons were consistent with recent land use, the 2009 Cropland Data Layer (USDA-NASS, 2013) was examined for all fields larger than 16 ha. For those fields with multiple cover types, 2009 National Agricultural Imagery Program (NAIP) aerial photography was used as a basis to manually edit field boundaries. A field was considered to have multiple cover types and was edited if the dominant cover occupied <75% of the field, as indicated by the 2009 Cropland Data Layer. Updated field boundaries were then overlaid with data from USDA-National Agricultural Statistics Service (2013) Cropland Data Layer for 2000 – 2014, and each field was classified to represent crop rotations and land cover using the most recent six-year (2009-2014) sequence of land cover. Six-year land-cover strings (e.g., corn-corn-soybean-corn-soybean-corn) generated for each field were classified to represent major crop rotations, which were dominantly comprised of corn (Zea mays L.) and soybean (Glycine max (L.) Merr) annual row crops.

The database does not include high-resolution digital elevation models (DEMs) derived from LiDAR (light detection and ranging) survey data, although these are needed by the Agricultural Conservation Planning Framework Toolkit and must be obtained independently.

Database is scheduled to become available on October 1, 2015.


Resources in this dataset:

  • Resource Title: Land Use and Soils data, viewing and downloading page.

    File Name: Web Page, url: https://www.nrrig.mwa.ars.usda.gov/st40_huc/dwnldACPF.html

    Recent land use, field boundary, and soil survey information for individual HUC12 watersheds in Iowa, Illinois, and southern Minnesota. With this land use viewer web page, users may navigate to individual HUC12 watersheds, view land-use maps, and download land use and soils data that can be directly used as input data for the ACPF toolbox. Before developing information on conservation priorities and opportunities using the ACPF toolbox, users will need to obtain elevation data for their watershed, which is usually available from your state government.

Funding

USDA-ARS

History

Data contact name

James, David

Data contact email

david.james@ars.usda.gov

Publisher

U.S. Department of Agriculture -- Agricultural Research Service

Theme

  • Not specified

Geographic location - description

Minnesota, Iowa, Illinois

ISO Topic Category

  • environment
  • farming

National Agricultural Library Thesaurus terms

aerial photography; corn; crop rotation; cropland; crops; databases; digital elevation models; fields; Glycine max; image analysis; land cover; land use; lidar; planning; soybeans; spatial data; surveys; topography; transport; watersheds; Zea mays

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 211

Primary article PubAg Handle

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

James, David; Porter, S.A.; Tomer, Mark D. (2015). Agricultural Conservation Planning Framework (ACPF) Database. U.S. Department of Agriculture -- Agricultural Research Service. https://doi.org/10.15482/USDA.ADC/1171154