Nutrient and herbicide concentrations, loads, and daily discharge data for caves in the Goodwater Creek Experimental Watershed, a Long-Term Agroecosystem Research Site in the Central Mississippi River Basin.
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.
The ARS Water Data Base is a collection of precipitation and streamflow data from small agricultural watersheds in the United States. This national archive of variable time-series readings for precipitation and runoff contains sufficient detail to reconstruct storm hydrographs and hyetographs. There are currently about 14,000 station years of data stored in the data base. Watersheds used as study areas range from 0.2 hectare (0.5 acres) to 12,400 square kilometers (4,786 square miles). Raingage networks range from one station per watershed to over 200 stations. The period of record for individual watersheds vary from 1 to 50 years. Some watersheds have been in continuous operation since the mid 1930's.
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.
These data come from three eddy covariance (EC) towers that were installed as part of a project to assess the productivity of sugarcane agricultural systems for biofuel production. These towers were operated from 2011-2013 in Maui, USA. Major observational parameters include net carbon exchange, evapotranspiration, and energy fluxes.