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- W4303644853 startingPage "105553" @default.
- W4303644853 abstract "Accurate quantification of soil organic carbon (SOC) change is essential for designing effective agricultural practices to maximize agronomic, climatic, and environmental benefits. Here, we modified the SOC algorithms within the Soil and Water Assessment Tool – Carbon (SWAT-C) model and applied it to simulate SOC dynamics across seven sites in the U.S. Corn Belt. We examined multiple methods for estimating the effects of soil temperature (3 options), soil water (2 options), and tillage (4 options) on SOC decomposition. We found that model simulation results are sensitive to the choice of methods and identified the best performing combination of methods. Further analyses show that the model captured well SOC dynamics at different sites and soil depths and under different tillage intensities. SWAT-C, as an open-source model, is shared to contribute to future carbon assessment and management in agroecosystems and support robust decision making to promote climate smart agriculture." @default.
- W4303644853 created "2022-10-08" @default.
- W4303644853 creator A5055495981 @default.
- W4303644853 creator A5069255958 @default.
- W4303644853 creator A5080859997 @default.
- W4303644853 creator A5086084891 @default.
- W4303644853 date "2022-12-01" @default.
- W4303644853 modified "2023-10-16" @default.
- W4303644853 title "Replicating measured site-scale soil organic carbon dynamics in the U.S. Corn Belt using the SWAT-C model" @default.
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