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Evaluation of the agricultural policy environmental extender (APEX) for the Chesapeake Bay watershed

Author

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  • Timlin, Dennis
  • Chun, Jong Ahn
  • Meisinger, John
  • Kang, Kwangmin
  • Fleisher, David
  • Staver, Ken
  • Doherty, Craig
  • Russ, Andrew

Abstract

The Agricultural Policy/Environmental Extender (APEX) is a complex mechanistic simulation model designed to evaluate agricultural management strategies and their effects on yields, water and soil quality, and resource use. It is one of the main models used in the Conservation Effects Assessment Project (CEAP) assessment program and has been employed to evaluate the effects of conservation practices in the Chesapeake Bay Watershed (CBW). Calibration of model parameters is an important process in order to apply a simulation model to a particular area. The APEX model is normally parameterized for each application using selected datasets from the region. However, the APEX application area is usually very large and all areas may not be well represented by the calibration. Thus, additional tests of APEX without site-specific calibration for crop yield and soil water content can provide information on the stability of the parameters related to these variables in the CBW. The objective of this study is to evaluate the performance of APEX for corn yields and water balance in a new location using parameters previously developed for the CBW. This study used observations from the OPE3 site (Optimizing Production Inputs for Economic and Environmental Enhancement) located at the US Department of Agriculture, Henry A. Wallace Agricultural Research Center, Beltsville, Maryland, USA. Data from the OPE3 site consists of water content at various layers, corn yields, and ET covering the period from 1998 to 2013. The results for total water in the soil profile (up to 100 cm deep) showed that the simulated water amounts were about 4.4 cm higher than the observed values, but the trends were very similar to the observed trends. The statistical error analysis of R-square (RSQ), Nash-Sutcliffe (ENS) efficiency coefficient and Root Mean Square Error (RMSE) are 0.59, 0.51 and 0.21 cm•day−1, respectively. The average simulated yields were 0.3 t•ha−1 (4%) lower than observed yields with an average absolute deviation between APEX and OPE3 of 1.3 t•ha1 where the average observed yields over the period was 5.18 t•ha−1, The year-to-year trends were very similar to the measured trends. The monthly evapotranspiration data also showed reasonable trends between observed data and model results with the model RSQ, ENS and RMSE being 0.56, 0.41 and 4.49 mm•month−1, respectively. These results suggest that APEX parameters for yield and water use simulations calibrated for the CBW can be considered applicable to other areas of the CBW where calibration data are not available.

Suggested Citation

  • Timlin, Dennis & Chun, Jong Ahn & Meisinger, John & Kang, Kwangmin & Fleisher, David & Staver, Ken & Doherty, Craig & Russ, Andrew, 2019. "Evaluation of the agricultural policy environmental extender (APEX) for the Chesapeake Bay watershed," Agricultural Water Management, Elsevier, vol. 221(C), pages 477-485.
  • Handle: RePEc:eee:agiwat:v:221:y:2019:i:c:p:477-485
    DOI: 10.1016/j.agwat.2019.03.046
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    References listed on IDEAS

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    1. Moriasi, Daniel N. & King, Kevin W. & Bosch, David D. & Bjorneberg, Dave L. & Teet, Stephen & Guzman, Jorge A. & Williams, Mark R., 2016. "Framework to parameterize and validate APEX to support deployment of the nutrient tracking tool," Agricultural Water Management, Elsevier, vol. 177(C), pages 146-164.
    2. Ribaudo, Marc & Savage, Jeffrey & Aillery, Marcel P., 2014. "An Economic Assessment of Policy Options To Reduce Agricultural Pollutants in the Chesapeake Bay," Economic Research Report 171880, United States Department of Agriculture, Economic Research Service.
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    2. Edward Osei & Syed H. Jafri & Philip W. Gassman & Ali Saleh & Oscar Gallego, 2023. "Climate Change Impacts on Surface Runoff and Nutrient and Sediment Losses in Buchanan County, Iowa," Agriculture, MDPI, vol. 13(2), pages 1-21, February.
    3. Edward Osei & Syed H. Jafri & Ali Saleh & Philip W. Gassman & Oscar Gallego, 2023. "Simulated Climate Change Impacts on Corn and Soybean Yields in Buchanan County, Iowa," Agriculture, MDPI, vol. 13(2), pages 1-21, January.
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    More about this item

    Keywords

    APEX; CEAP; CBW; OPE3; Soil water content; Corn yields;
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