Progress 08/01/23 to 07/31/24
Outputs Target Audience:The target audience for this project is small and medium-sized farmers in the Lower Rio Grande Valley of Texas (LRGVT) and the Umatilla River Basin (URB) of Oregon. Stakeholders also include soil and water conservation organizations and local farm group representatives. During this first phase of the project, the focus has been on developing the modeling tools that will be used to address stakeholder needs. Informal conversations with stakeholders have focused on identifying farm and local crop and environmental data resources. The protocols for engaging with stakeholders more formally in workshops and listening sessions have been developed and approved by the Texas A&M and Oregon State University Institutional Review Boards. This approval process was more detailed and drawn out than expected, resulting in well-described processes. Still, it has delayed the implementation of the workshops and listening sessions in this first year. Changes/Problems:As mentioned in the previous sections, the development and approval of stakeholder engagement protocols took longer than anticipated. This has delayed fully engaging with stakeholders and resolving access to farmer and local data. We have proceeded with data from the literature appropriate to the area as well as other publicly domain data resources. We have completed the review and approval at the two universities and are now getting back on schedule. What opportunities for training and professional development has the project provided?Oregon State University has brought on a graduate student trained in the development and application of SWAT within the Orgon project study areas. Two of the participants in the project from Texas A&M participated in an international conference on SWAT, both in appropriate workshop sessions and as presenters in conference sessions. How have the results been disseminated to communities of interest?An article about the project was published in Texas A&M Today, entitled "New Modeling App To Assist Farmers With Forecasting: Texas A&M AgriLife Research scientists are developing a tool that integrates weather, market prices, and farm conditions to aid predictive planning. What do you plan to do during the next reporting period to accomplish the goals?We will continue implementing the tasks identified in our project proposal, focusing on working with stakeholders and accelerating the model coupling.
Impacts What was accomplished under these goals?
The project's overarching goal is to help small and medium-sized farmers make land management and farm decisions that enhance the economic viability of their operations while managing water resources and protecting the environment. To support this goal, we are coupling the Soil and Water Assessment Tool (SWAT) with economic modeling tools, like FARMSIM, so that farm, environment, and economic decisions and results can be assessed concurrently. Stakeholder engagement and involvement is a significant component of the project. As mentioned in the preceding section on Target Audiences, the development and approval of stakeholder engagement protocols at our respective universities took longer than anticipated, and we are running behind our originally planned schedule of activities. In the meantime, we have identified publicly available local and relevant larger region crop, water, and economic data. Our Texas A&M and OSU teams have collaborated to identify the input and output of the SWAT and economic models. We have identified several priority crops and crop management prevalent in the respective watersheds and developed appropriate data tables. We have compared the requirements of an IDSS economic model developed for a project with USAID and FARMSIM. We have developed a simplified spreadsheet-based model to isolate and focus the combined data requirements ofSWAT and the economic models to run preliminary test results for an integrated system. We have compared the preliminary results of a full-scale FARMSIM approach to a scaled-down simulation model.
Publications
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