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United States Department of Agriculture

Agricultural Research Service

Research Project: Development and Implementation of Natural Resource Databases
2013 Annual Report


1a.Objectives (from AD-416):
1) Provide support for the existing CEAP and REAP database efforts as part of the natural resource assessment for the Long-term Agroecologicial Research Program (LTAR);.
2)Provide website design and development support to facilitate research data acquisition, GIS data, and research metadata from watershed and plot scale research;.
3)Provide additional support utilizing ARCGIS server based delivery systems for data; and.
4)Enhance data visualization tools for screening and displaying data.


1b.Approach (from AD-416):
This project facilitates the on-going development and implementaton of watershed and plot-scale data collection from agronomic and natural resource research projects in support of the LTAR programs. This effort incorporates the existing efforts on the Conservation Effects Assessment Project (CEAP) along with the Renewable Energy Assessment Project (REAP) to enhance the development of databases for these projects and their linkage with geospatial and natural resource data. Personnel assigned to this project will work with NLAE staff and CEAP, REAP, GRACEnet, LTAR, Ameriflux, and other ARS projects to provide programmatic support for the enhancement of web-based data collection and delivery tools.


3.Progress Report:

Model intercomparisons have been conducted for maize and wheat models and are underway for rice, sugarcane, potato, soybean, and millet. Data sets have been assembled for each crop from the international research community in order to provide a range of production environments and production levels. In the maize and wheat trials a suite of models produced a more robust estimate of production than any single model. Throughout the course of the model comparisons it was discovered that the interactions of carbon dioxide-temperature-water stress on plant growth and yield are not adequately quantified and the incorporation of these interactions in crop models is not well understood and efforts are underway to evaluate how crop models can incorporate new understanding of experimental observations and is the subject of a workshop at a 2013 tri-society annual meeting and a monograph is planned from this workshop. A workshop on North America production systems was held in September 2012 to determine how climate will affect crop production and the potential economic impacts and forms the foundation for future assessments.


Last Modified: 12/21/2014
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