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FACETS enterprise crop budgets for NE Florida and SW Georgia

    Enterprise budgets contained in this database were developed as part of the Floridian Aquifer Collaborative Engagement for Sustainability (FACETS), a large-scale, multi-institutional, multi-disciplinary project funded by the United States Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA). The goal of this project is to promote the economic sustainability of agriculture and silviculture in North Florida and South Georgia while protecting water quantity, quality, and habitat in the Upper Floridan Aquifer and the springs and rivers it feeds. This dataset includes budgets developed for pine plantations, corn and peanut crops, and hay and pasture production in the Lower Suwannee River Basin, Florida.

    RZWQM2

      Root Zone Water Quality Model 2 (RZWQM2) is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. RZWQM2 is a one-dimensional model with a pseudo 2-dimensional drainage flow. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm (PEST) was added to RZWQM2 for objective model calibration and uncertainty analysis.

      NLEAP GIS 5.0

        NLEAP GIS 5.0 can help users identify hot spots across the landscape and identify management practices that can increase nitrogen use efficiency. A Nitrogen Trading Tool (NTT) analysis can be conducted to determine the potential benefits of implementing best management practices and the quantity of nitrogen savings that could potentially be traded in future air or water quality markets.

        NUOnet (Nutrient Use and Outcome Network) database

          The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.