COMPILATION OF MEASURED NUTRIENT LOAD DATA FOR AGRICULTURAL LAND USES IN THE UNITED STATES

Authors

  • Daren Harmel,

  • Steve Potter,

  • Pamela Casebolt,

  • Ken Reckhow,

  • Colleen Green,

  • Rick Haney

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    • Respectively, Agricultural Engineer, USDA-ARS, 808 East Blackland Road, Temple, Texas 76502; Research Associate and Research Assistant, Blackland Research and Extension Center, 720 East Blackland Road, Temple, Texas 76502; Professor of Water Resources, Box 90328, Duke University, Durham, North Carolina, 27708; and Soil Scientists, USDA-ARS, 808 East Blackland Road, Temple, Texas 76502 (E-Mail/Harmel: dharmel@spa.ars.usda.gov).


  • Paper No. 05084 of the Journal of the American Water Resources Association (JAWRA)

Abstract

ABSTRACT: Measured field scale data are increasingly used to guide policy and management decisions based on comparative pollutant load information from various land management alternatives. The primary objective of this study was to compile measured annual nitrogen (N) and phosphorus (P) load data representing field scale transport from agricultural land uses. This effort expanded previous work that established an initial nutrient export coefficient dataset. Only measured annual N and P load data published in scientific peer-reviewed studies were included in the present compilation. Additional criteria for inclusion were: spatial scale (field scale or farm scale, minimum 0.009 ha); land use (homogeneous, either cultivated agriculture or pasture/rangeland/hay); natural rainfall (not rainfall simulation); and temporal scale (minimum one year). Annual N and P load data were obtained from 40 publications, resulting in a 163-record database with more than 1,100 watershed years of data. Basic descriptive statistics in relation to N and P loads were tabulated for tillage management, conservation practices, fertilizer application, soil texture, watershed size, and land use (crop type). The resulting Measured Annual Nutrient loads from A Circumlittoral Environments (MANAGE) database provides readily accessible, easily queried watershed characteristic and nutrient load data and establishes a platform suitable for input of additional project specific data.

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