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Modelled quantification plausible impacts of Biological Nitrification Inhibition in Australian cropping systems

Commonwealth Scientific and Industrial Research Organisation
Garba, Ismail ; Verburg, Kirsten
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/8zsj-4257&rft.title=Modelled quantification plausible impacts of Biological Nitrification Inhibition in Australian cropping systems&rft.identifier=https://doi.org/10.25919/8zsj-4257&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This collection consists of the model set-up used to develop an initial capability for modelling biological nitrification inhibition (BNI) in APSIM Next Generation and a preliminary evaluation of BNI in wheat, canola, sorghum and maize systems across Australian grain regions. To generate the data, an extensive literature review of BNI was undertaken. Based on the available evidence, an APSIM-BNI module was developed using APSIM Manager script and integrated into APSIM. The APSIM-BNI module was evaluated for model sensibility, parameter sensitivity and uncertainty. The developed APSIM-BNI module was then used in a scenario analysis to quantify the plausible impact of BNI on both productivity and emissions from Australian farming systems. This collection includes APSIMX file with BNI manager script, simulation output in csv formats. The output variables reported either daily, seasonal or annual include soil carbon, soil mineral nitrogen, nitrogen loss pathways, soil water, crop biomass, N uptake yield, and gross margins. \nLineage: \n\nSimulations were performed using APSIM Next Generation v.2025.8.7828.0 sites across the grain regions of Australia. Soil data were retrieved from the APSOIL database. Historical climate data is provided by the SILO. The BNI model parameters integrated into APSIM were based on extensive review of available literature&rft.creator=Garba, Ismail &rft.creator=Verburg, Kirsten &rft.date=2025&rft.edition=v1&rft.coverage=westlimit=114.0015; southlimit=-39.225; eastlimit=154.3822; northlimit=-23.220399999999998; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=APSIM&rft_subject=adaptation&rft_subject=BNI&rft_subject=in-silico modelling&rft_subject=nitrous oxides&rft_subject=root exudation&rft_subject=Agricultural production systems simulation&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Agricultural spatial analysis and modelling&rft_subject=Agricultural systems analysis and modelling&rft_subject=Agronomy&rft_subject=Crop and pasture production&rft.type=dataset&rft.language=English Access the data
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Data is accessible online and may be reused in accordance with licence conditions

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Brief description

This collection consists of the model set-up used to develop an initial capability for modelling biological nitrification inhibition (BNI) in APSIM Next Generation and a preliminary evaluation of BNI in wheat, canola, sorghum and maize systems across Australian grain regions. To generate the data, an extensive literature review of BNI was undertaken. Based on the available evidence, an APSIM-BNI module was developed using APSIM Manager script and integrated into APSIM. The APSIM-BNI module was evaluated for model sensibility, parameter sensitivity and uncertainty. The developed APSIM-BNI module was then used in a scenario analysis to quantify the plausible impact of BNI on both productivity and emissions from Australian farming systems. This collection includes APSIMX file with BNI manager script, simulation output in csv formats. The output variables reported either daily, seasonal or annual include soil carbon, soil mineral nitrogen, nitrogen loss pathways, soil water, crop biomass, N uptake yield, and gross margins.
Lineage:

Simulations were performed using APSIM Next Generation v.2025.8.7828.0 sites across the grain regions of Australia. Soil data were retrieved from the APSOIL database. Historical climate data is provided by the SILO. The BNI model parameters integrated into APSIM were based on extensive review of available literature

Available: 2025-09-18

Data time period: to 2025-06-04

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154.3822,-23.2204 154.3822,-39.225 114.0015,-39.225 114.0015,-23.2204 154.3822,-23.2204

134.19185,-31.2227

Subjects
Agricultural, Veterinary and Food Sciences | APSIM | Agricultural Production Systems Simulation | Agricultural Spatial Analysis and Modelling | Agricultural Systems Analysis and Modelling | Agriculture, Land and Farm Management | Agronomy | BNI | Crop and Pasture Production | adaptation | in-silico modelling | nitrous oxides | root exudation |

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