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Data from: Runoff Water Quantity and Quality Data from Native Tallgrass Prairie and Crop-livestock Systems in Oklahoma between 1977 and 1999

Historic data from the Water Resources and Erosion (WRE) watersheds at Grazinglands Research Laboratory (GRL), USDA-ARS, El Reno, OK. The WRE watersheds are eight 1.6 ha experimental watersheds established and instrumented in 1976 to measure precipitation and surface runoff quantity and quality. Data was collected from 1977 through 1999 and includes precipitation, runoff, sediment loads, water quality (N, P, suspended sediments), and land management data. These datasets are valuable resources to improve modeling in relation to land use and management changes, climate variability, and other environmental factors and may be useful in developing strategies to mitigate environmental impacts of agricultural systems.

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FieldValue
Tags
agroecosystem
Agroecosystems & Environment Water
Agroecosystem & Environment > Erosion
rainfall
EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY
Modified
2023-11-30
Release Date
2020-03-10
Frequency
Daily
Identifier
e407988d-ed62-4f08-961c-463e40c02e44
Spatial / Geographical Coverage Area
POLYGON ((-98.051127841265 35.538204172938, -98.051123848773 35.537435172863, -98.048854836833 35.537442157182, -98.048854829725 35.538209157143, -98.051127841265 35.538204172938))
POLYGON ((-98.051129832973 35.53901217271, -98.051127841265 35.538204172938, -98.048854829725 35.538209157143, -98.048859821325 35.539016157767, -98.051129832973 35.53901217271))
POLYGON ((-98.049804795795 35.542061163955, -98.0502618058 35.541366167124, -98.04826580432 35.540487153809, -98.047805794379 35.541179150631, -98.049804795795 35.542061163955))
POLYGON ((-98.050301806745 35.541305167257, -98.050759816195 35.540602170183, -98.048766814254 35.539727157081, -98.048306804024 35.540427154052, -98.050301806745 35.541305167257))
POLYGON ((-98.051133110756 35.539819312846, -98.051129119815 35.539013311865, -98.048859106707 35.539017296933, -98.048862815304 35.539576157702, -98.048788814789 35.539692157403, -98.049032651074 35.539796995, -98.051133110756 35.539819312846))
POLYGON ((-98.049804795795 35.542061163955, -98.047805794379 35.541179150631, -98.047349785574 35.541879147973, -98.049344787183 35.542759160905, -98.049804795795 35.542061163955))
POLYGON ((-98.048883777689 35.543458157482, -98.049344787183 35.542759160905, -98.047349785574 35.541879147973, -98.046881775983 35.542579144229, -98.048883777689 35.543458157482))
POLYGON ((-98.048883777689 35.543458157482, -98.046881775983 35.542579144229, -98.046421766074 35.543278141175, -98.048296767765 35.544106153383, -98.04845476926 35.544109154618, -98.048883777689 35.543458157482))
POLYGON ((-98.050759816195 35.540602170183, -98.051133825317 35.539818172522, -98.049032651074 35.539796995, -98.048788814789 35.539692157403, -98.048766814254 35.539727157081, -98.050759816195 35.540602170183))
Publisher
Ag Data Commons
Temporal Coverage
January 1, 1977 to December 31, 1999
License
Creative Commons CCZero
Contact Name
Moriasi, Daniel
Contact Email
daniel.moriasi@usda.gov
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Extended Metadata: 
FieldValue
Authors
Nelson, Amanda (ORCID)
Moriasi, Daniel H. (ORCID)
Fortuna, Ann-Marie (ORCID)
Steiner, Jean L. (ORCID)
Starks, Patrick J. (ORCID)
Northup, Brian (ORCID)
Garbrecht, Jurgen (ORCID)
Peer Reviewed
No
Intended Use
These are processed, QA/QC'd data collected for water-runoff quality and erosion study in managed agricultural systems and can be used for hydrologic and agricultural modeling. These datasets are valuable resources to improve modeling in relation to land use and management changes, climate variability, and other environmental factors and may be useful in developing strategies to mitigate environmental impacts of agricultural systems.
Funding Sources
Agricultural Research Service
Primary Article

Nelson, A. M., Moriasi, D. N., Fortuna, A., Steiner, J. L., Starks, P. J., Northup, B., & Garbrecht, J. (2020). Runoff water quantity and quality data from native tallgrass prairie and crop–livestock systems in Oklahoma between 1977 and 1999. Journal of Environmental Quality, 49(4), 1062-1072. https://doi.org/10.1002/jeq2.20075

AgID: 7882039
Dataset DOI (digital object identifier)
10.15482/USDA.ADC/1518421
Product Type
Dataset
Related Content
Watershed Management Practices (1976-1999) for the Water Resources and Erosion Watersheds
FieldValue
ARIS Log Number
366381
OSTI Identifier
ISO Topic(s)
environment
State or Territory
Oklahoma
National Agricultural Library Thesaurus Term
runoff
water quantity
tallgrass prairies
Oklahoma
water resources
watersheds
grazing lands
pollution load
sediment yield
water quality
suspended sediment
sediments
land management
rain
pesticides
fertilizers
planting
tillage
grazing
cattle
crops
Ag Data Commons Keywords
  • Agroecosystems & Environment
  • Water
  • Water quality
  • Agroecosystems & Environment
  • Water
  • Agroecosystems & Environment
  • Water
  • Hydrology
  • Agroecosystems & Environment
  • Management
  • Agroecosystems & Environment
  • Plants & Crops
  • Crop production
  • Tillage
  • Plants & Crops
  • Crop production
  • Plants & Crops
  • Animals & Livestock
  • Animal production
  • Range management
  • Animals & Livestock
  • Animal production
  • Animals & Livestock

Suggested Citations:

(original article) Nelson, A. M., Moriasi, D. N., Fortuna, A., Steiner, J. L., Starks, P. J., Northup, B., & Garbrecht, J. (2020). Runoff water quantity and quality data from native tallgrass prairie and crop–livestock systems in Oklahoma between 1977 and 1999. Journal of Environmental Quality, 49(4), 1062-1072. https://doi.org/10.1002/jeq2.20075

(dataset) Nelson, Amanda; Moriasi, Daniel H.; Fortuna, Ann-Marie; Steiner, Jean L.; Starks, Patrick J.; Northup, Brian; Garbrecht, Jurgen (2020). Data from: Runoff Water Quantity and Quality Data from Native Tallgrass Prairie and Crop-livestock Systems in Oklahoma between 1977 and 1999. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1518421. Accessed 2023-12-02.