Grassland Soil and Water Research Laboratory, Temple, Texas Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
Programs and Projects
ALMANAC Simulation Model
ALMANAC Applications
Rangeland Research
Poultry Litter Application
Wheat Study 2003
Corn Fertility Study
Impact of Biological Control Agents on Musk Thistle Populations
MANAGE Nutrient Loss Database
Hydrologic Data Collection and Water Quality Sampling
Reprints Relevant to ALMANAC
ALMANAC - Forestry Simulation
ALMANAC - Switchgrass Field Research Simulation
ALMANAC -Biofuel grass nutrient cycling
ALMANAC - Rangeland CEAP
Publications on Riesel Data and History
Hydrologic Data
Models
Atmospheric CO2 Research Group
 

Research Project: DEVELOPMENT OF MODELS AND CONSERVATION PRACTICES FOR WATER QUALITY MANAGEMENT AND RESOURCE ASSESSMENTS

Location: Grassland Soil and Water Research Laboratory, Temple, Texas

Title: The MANAGE database: Nutrient load and site characteristic updates and runoff concentration data

Authors
item Harmel, Daren
item Qian, Song - DUKE UNIVERSITY
item Reckhow, Ken - DUKE UNIVERSITY
item Casebolt, Pamela - TX STATE SOIL/WATER BOARD

Submitted to: Journal of Environmental Quality
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: March 26, 2008
Publication Date: N/A

Interpretive Summary: The ¿Measured Annual Nutrient loads from AGricultural Environments¿ (MANAGE) database was developed to be a publically available, easy-to-use database of site characteristic and field-scale nutrient runoff data. The original version of MANAGE, which drew heavily from an early 1980¿s compilation of nutrient export data, created an electronic database with nutrient load data and corresponding site characteristics from 40 studies on agricultural (cultivated and pasture/range) land uses. In the current update, N and P load data from 15 additional studies of agricultural runoff were included along with N and P concentration data for all 55 studies. The database now contains 1677 watershed years of data for various agricultural land uses (703 for pasture/rangeland, 333 for corn, 291 for various crop rotations, 177 for wheat/oats, and 4-33 years for barley, citrus, vegetables, sorghum, soybeans, cotton, fallow, and peanuts). Across all land uses, annual runoff loads averaged 14.2 kg/ha for total N and 2.2 kg/ha for total P. On average, these losses represented 10-25% of applied fertilizer N and 4-9% of applied fertilizer P. Although such summary statements provide interesting generalities across a wide range of land use, management, and climatic conditions, regional crop-specific analyses should be conducted to guide regulatory and programmatic decisions. With this update, MANAGE contains data from a vast majority of published peer-reviewed N and P export studies on agricultural land uses in the US under natural rainfall-runoff conditions, and thus provides necessary data for modeling and decision-making related to agricultural runoff. The current version can be downloaded at http://www.ars.usda.gov/spa/manage-nutrient.

Technical Abstract: The ¿Measured Annual Nutrient loads from AGricultural Environments¿ (MANAGE) database was developed to be a readily-accessible, easily-queried database of site characteristic and field-scale nutrient export data. The original version of MANAGE, which drew heavily from an early 1980¿s compilation of nutrient export data, created an electronic database with nutrient load data and corresponding site characteristics from 40 studies on agricultural (cultivated and pasture/range) land uses. In the current update, N and P load data from 15 additional studies of agricultural runoff were included along with N and P concentration data for all 55 studies. The database now contains 1677 watershed years of data for various agricultural land uses (703 for pasture/rangeland, 333 for corn, 291 for various crop rotations, 177 for wheat/oats, and 4-33 years for barley, citrus, vegetables, sorghum, soybeans, cotton, fallow, and peanuts). Across all land uses, annual runoff loads averaged 14.2 kg/ha for total N and 2.2 kg/ha for total P. On average, these losses represented 10-25% of applied fertilizer N and 4-9% of applied fertilizer P. Although such statistics produce interesting generalities across a wide range of land use, management, and climatic conditions, regional crop-specific analyses should be conducted to guide regulatory and programmatic decisions. With this update, MANAGE contains data from a vast majority of published peer-reviewed N and P export studies on homogeneous agricultural land uses in the US under natural rainfall-runoff conditions, and thus provides necessary data for modeling and decision-making related to agricultural runoff. The current version can be downloaded at http://www.ars.usda.gov/spa/manage-nutrient.

   

 
Project Team
Arnold, Jeffrey
Rossi, Colleen
Kiniry, James
Harmel, Daren
 
Publications
   Publications
 
Related National Programs
  Soil Resource Management (202)
  Water Availability and Water Management (211)
 
Related Projects
   HYDROLOGICAL AND WATER QUALITY SYSTEM
   THE IMPACT OF PROPER ORGANIC FERTILIZER MANAGEMENT IN PRODUCTION AGRICULTURE
   PLAN FOR TOMORROW: POULTRY LITTER APPLICATION ON NEW SITES
   HYDROLOGIC AND WATER QUALITY SYSTEM DESIGN AND DEVELOPMENT
   EFFECTS OF CONSERVATION PRACTICES ON SOIL AND WATER RESOURCES IN THE LEON RIVER WATERSHED (PHASE II)
   HYDROLOGIC MODELING OF THE INDUS RIVER BASIN IN PAKISTAN
   SYNTHESIS OF FINDINGS FROM THE CEAP WATERSHED ASSESSMENT STUDY
   FATE AND TRANSPORT OF E. COLI IN RURAL TEXAS LANDSCAPES AND STREAMS
   MODELING THE IMPACTS OF LAND-APPLIED MUNICIPAL BIOSOLIDS ON ECOSYSTEM SERVICES ACROSS URBAN, AGRICULTURAL, AND WILDLIFE INTERFACES
   DEVELOPMENT AND TESTING OF A BMP EVALUATION TOOL FOR TEXAS
 
 
Last Modified: 11/10/2008
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House