Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 8/1/2019
Publication Date: 11/10/2019
Citation: Moriasi, D.N., Bosch, D.D. 2019. The LTAR modeling vision [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. Available at: https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/120013.
Interpretive Summary: Abstract only.
Technical Abstract: The USDA Agricultural Research Service (ARS) Long-Term Agroecosystem Research (LTAR) network initiated in 2012 consists of 18 federal and university agricultural research sites with an average of over 50 years of history. This network serves as a national roadmap for the sustainable intensification of agricultural production under varied agricultural stressors and expectations. The Modeling Team (MT) and other several working groups (WGs) consisting of scientists in diverse disciplines were formed to work together within the context of the network to achieve the LTAR goals. The LTAR MT uses diverse natural resource models, here after referred to as models, to contribute towards achieving the LTAR goals. Models have been used as cost-e'ective tools to quantify impacts of land management and to determine optimal production systems. The LTAR MT seeks to utilize models to examine and design sustainable agricultural systems, balancing production, environmental, and rural prosperity goals under a changing agricultural landscape and climate. The general goals of MT are to:1) facilitate application and testing of natural resource models across the LTAR network; 2) work with LTAR sites to assure appropriate data are collected for testing and application of various models; and 3) facilitate discussions across multiple model platforms to enhance and strengthen model applications. These goals will be achieved by determining and completing feasible short-term and long-term modeling projects within various modeling interest areas. The presentation will consist of a general description of the vision, completed modeling projects outside of LTAR with direct applicability to the network, and a conceptual plan on how these projects will benefit LTAR.