Location: Cropping Systems and Water Quality Research
Title: USDA Long-Term Agroecosystem Research: four data workflows for network data integrationAuthor
Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only Publication Acceptance Date: 8/8/2023 Publication Date: 10/29/2023 Citation: Abendroth, L.J., Kleinman, P.J., Armendariz, G.A., Coffin, A.W., Cosh, M.H., Heilman, P., Hoover, D.L., Kaplan, N.E., White, W.A., Bestelmeyer, B.T., Browning, D.M., Carlson, B.R. 2023. USDA Long-Term Agroecosystem Research: four data workflows for network data integration [abstract]. 2023 ASA-CSSA-SSSA International Annual Meeting, October 29-November 1, 2023, St. Louis, Missouri. Available: https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/152342 Interpretive Summary: Technical Abstract: The USDA Long-Term Agroecosystem Research (LTAR) Network was established to measure productivity and environmental footprints of agriculture across the nation. With 20 experiments spanning croplands, grazinglands, and rangelands, the LTAR network seeks to represent the full range in US food, feed, and fiber production systems. The LTAR network is a portfolio of coordinated research activities to 1) develop and evaluate production systems that promote the sustainable management of lands, 2) identify, quantify, and understand mechanisms underlying tradeoffs and synergies among ecosystem services, and 3) use common measurements across multiple systems in different regions to understand and model ecosystem service outcomes. Primary metrics span agronomic, soil, water, air, greenhouse gas, biodiversity, farm operations, and imagery. The LTAR Research Data Advisory Team has developed four data workflows to utilize existing platforms where possible and prioritize areas for building infrastructure. The four data workflows include an: (1) internal platform for the LTAR Common Experiment, (2) external repositories such as Phenocam and AmeriFlux, (3) federal repositories such as Wind Erosion Network, Landscape Data Commons, and STEWARDS, and (4) unique site data published at USDA NAL Ag Data Commons. These data workflows have been formulated through iterative meetings among the RDAT team, LTAR Leadership, and LTAR disciplinary-based working groups. |