In silico Evaluation of Plant Nitrification Suppression Effects on Agroecosystem Nitrogen Loss

Themes: Sustainability

Keywords: Biomass Analytics, Field Data, Modeling

Citation

Hartman, M.D., Burnham, M., Parton, W.J., Finzi, A., DeLucia, E.H., Yang W. Dec. 4, 2022. “In silico Evaluation of Plant Nitrification Suppression Effects on Agroecosystem Nitrogen Loss.” FigShare. DOI: 10.6084/m9.figshare.20113463.v1.

Overview

Simulated annual rates of gross nitrification (a, b), N₂O emissions (c, d), and NO₃-leaching (e, f) under maximum (MaxNS), measured (MeasNS), and no (NoNS) suppression of nitrification by sorghum at 0 and 112 kg N ha⁻¹ fertilization rates in 2018 (a, c, e) and 2019 (b, d, f) sorghum field trials. All rates were simulated during the sorghum growing season (2018 and 2019) and the following growing season when each trial was planted in soybean.

This dataset includes the source code for the updates to DayCent (Daily Century model). DayCent is a biogeochemical model that simulates fluxes of carbon and nitrogen among the atmosphere, vegetation, and soil to produce daily fluxes of nitrogen gases, CO₂ flux from heterotrophic soil respiration, soil organic carbon and nitrogen, net primary production, and H₂O and NO₃-leaching. The major update to the model is adding a “GrassTree” crop type to better represent large bioenergy crops and grasses within the model. Data, including biomass and soil data, trial yields, plot history, and weather data, are available to reproduce the simulations shown in “In silico Evaluation of Plant Nitrification Suppression Effects on Agroecosystem Nitrogen Loss.”

Data

DayCent-CABBI Modeling Data

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