The United States Department of Agriculture-Agricultural Research Service (USDA-ARS) Cropping Systems and Water Quality Research Unit operates a network of instruments to measure relevant weather parameters in the Goodwater Creek Experimental Watershed (GCEW). This watershed is the core of the Central Mississippi River Basin (CMRB)…
Long Term Agroecosystem Research Overview
- Agroecosystem productivity is sustainably enhanced by the development and application of new technologies
- Mitigation and adaptation of agroecosystems to climate change is improved by more accurate predictions of resource responses to system drivers
- Stronger linkages to other long-term research networks improves conservation and environmental quality in agricultural landscapes
- The socio-economic viability of, and opportunities for, rural communities are enhanced through educational outreach by LTAR scientists and collaborators
LTAR Research Sites
Data from the following LTAR sites are presented. They are related to topics such as agricultural sustainability, climate change, ecosystem services, and natural resource conservation at the watershed or landscape scale.
Atrazine concentrations in Goodwater Creek Experimental Watershed (GCEW) were shown to be among the very highest of any watershed in the United States based on comparisons using the national Watershed Regressions for Pesticides (WARP) model and by direct comparison with the 112 watersheds used in…
The northern Missouri Stream data file contains the northern Missouri-southern Iowa region nutrient and herbicide concentration data for up to 153 sites from 1994 to 1999. The cave stream data file contains nutrient and herbicide concentrations, loads, and daily discharge data for Devils Icebox Cave…
Flow monitoring in Goodwater Creek Experimental Watershed started in 1971 at three nested watersheds ranging from 12 to 73 km2. Since then, runoff or stream flow has been measured at 14 plots, three fields, and 12 additional stream sites ranging from
0.0034 to 6067…
This dataset corresponds with two published studies conducted on loess covered catchments in northern Mississippi, USA within the Goodwin Creek Experimental Watershed that contain extensive networks of soil pipes and corresponding collapse features. These loess soils contain fragipan layers that were found to perch water, thereby initiating the piping processes. The dataset contains data from two papers, specifically these include: (i) the spatial distribution of soil pipe collapses and their size measurements from the Wilson et al. (2015) paper, and (ii) hydrologic measurements of perched water tables on hillslopes, water levels of selected soil pipe locations, and precipitation from the Wilson et al. (2017) paper.
This data set consists of repeat digital imagery from the phenocams at the Jornada Experimental Range. JER is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually inspected to determine the phenological state of the vegetation at any point in time. Quantitative data on the colour of vegetation—a proxy for its phenological state—can also be extracted from the images using simple image processing methods.
Originally produced by the Farm Security Administration, these are georeferenced aerial images from Morton County, North Dakota. Historic print images housed at the Mandan, North Dakota ARS Long-Term Agricultural Research facility were digitized, georeferenced, and processed for use in both professional and consumer level GIS applications, or in photo-editing applications. The original images were produced by the Farm Security Administration to monitor government compliance for farm land agreements. Current applications include assessing land use change over time with regard to erosion, land cover, and natural and man-made structures. Not for use in high precision applications.
Data from: A field-scale sensor network data set for monitoring and modeling the spatial and temporal variation of soil moisture in a dryland agricultural field
Automated in situ soil sensor network - the data set includes hourly and daily measurements of volumetric water content, soil temperature, and bulk electrical conductivity, collected at 42 monitoring locations and 5 depths (30, 60, 90, 120, and 150 cm) across Cook Agronomy Farm. Data collection was initiated in April 2007 and is ongoing.