The development of the DNDC plant growth sub-model and the application of DNDC in agriculture: A review

Zhang, Yajie; Niu, Haishan

doi:10.1016/j.agee.2016.06.017

Cited by 80 publications

(31 citation statements)

References 117 publications

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“…16,29 The DNDC-Rice is a modification of DNDC v.8.5, and the chronological development of the DNDC is given in Gilhepsy et al 23 and Zhang and Niu. 33 CERES-Rice is now incorporated into the DSSAT model. 34,35 RIWER 15 was developed to simulate N dynamics for rice-wheat cropping systems, but only components relevant to the rice system are discussed in this paper.…”

Section: Background Of the Modelsmentioning

confidence: 99%

Nitrogen dynamics in flooded soil systems: an overview on concepts and performance of models

et al. 2017

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Extensive modelling studies on nitrogen (N) dynamics in flooded soil systems have been published. Consequently, many N dynamics models are available for users to select from. With the current research trend, inclined towards multidisciplinary research, and with substantial progress in understanding of N dynamics in flooded soil systems, the objective of this paper is to provide an overview of the modelling concepts and performance of 14 models developed to simulate N dynamics in flooded soil systems. This overview provides breadth of knowledge on the models, and, therefore, is valuable as a first step in the selection of an appropriate model for a specific application. © 2017 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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Section: Background Of the Modelsmentioning

confidence: 99%

Nitrogen dynamics in flooded soil systems: an overview on concepts and performance of models

et al. 2017

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“…Tier 3 methods use process-based model simulation or in-situ measurements. Direct measurement of GHG emissions for reporting is unfeasible as it would require a large number of measurements over a long period of time [27]. Additionally, it is nearly impossible to collect data including all possible conditions [28].…”

mentioning

confidence: 99%

“…Detailed model development is presented by Gilhespy et al [35], and Zhang and Niu [27]. The DNDC model was validated globally in over 100 studies, which has demonstrated accurate predictions of crop yields, climate, nitrogen losses, carbon sequestration and GHG emissions from agro-ecosystems [27,[36][37]. Due to reasonable data requirements, the model is suitable for simulation at temporal and spatial scales [32,38].…”

mentioning

confidence: 99%

“…Due to reasonable data requirements, the model is suitable for simulation at temporal and spatial scales [32,38]. The food crops frequently simulated by the DNDC model are: rice (14.36%), maize (13.12%), winter wheat (11.25%), and barley (8.12%) [27].…”

mentioning

confidence: 99%

“…The DNDC model was used by the European Union (EU) to set sustainability criteria for biofuels with the legislation of the RED [4]. Detailed model development is presented by Gilhespy et al [35], and Zhang and Niu [27]. The DNDC model was validated globally in over 100 studies, which has demonstrated accurate predictions of crop yields, climate, nitrogen losses, carbon sequestration and GHG emissions from agro-ecosystems [27,[36][37].…”

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confidence: 99%

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Using Different Models to Estimate N2O Fluxes from Maize Cultivation in Poland

Syp¹,

Faber²

2017

Pol. J. Environ. Stud.

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Exploring management strategies to improve yields and reduce reactive nitrogen emissions in a summer maize‐winter wheat cropping system under long‐term climate variability

Huang,

Yang,

Xing

et al. 2024

Food and Energy Security

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Achieving high stable crop yields and minimal environmental damage is crucial to enhance the sustainability of agriculture in China. Process‐based models are indispensable tools to develop agronomy management practices to achieve sustainable agriculture by simulating crop production and emissions of reactive nitrogen (N), particularly in complex climate scenarios. In this study, a long‐term field experiment with an intensive summer maize‐winter wheat rotation system in north‐central China was simulated using the DeNitrification‐DeComposition (DNDC) model. The DNDC model validation and calibration was done by using two‐year monitoring data of crop yields and nitrous oxide emission fluxes and ammonia volatilization. Moreover, the optimal management practices to promote crop production and reduce the reactive N loss under 22 years of climate variability were explored using the calibrated DNDC model in this region. The results showed that the DNDC model effectively simulated wheat and maize yields, N uptake, ammonia volatilization, and nitrous oxide emissions. Sensitivity analyses demonstrated that the agronomic management practices (N rates and ratio of base to topdressing, planting time, and tillage depth) substantially affected crop yields and reactive N losses under long‐term climate variability. Compared with current farming practices, optimal Nutrient Expert (NE) management achieved an increase in high yields and environmental pollution radiation by altering the rate of N application and ratio of base to topdressing. Moreover, the optimal management strategies developed by the DNDC model, such as adjusting the planting date and tillage depth, further increased the average grain yield by 2.9% and reduced the average reactive N losses by 10.5% compared with the NE management implemented in the annual rotation cropping with a 22‐year simulation. This study suggests that the modeling method facilitates the development of most effective agronomic management practices to promote crop production and alleviate the negative impact on environment.

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The development of the DNDC plant growth sub-model and the application of DNDC in agriculture: A review

Cited by 80 publications

References 117 publications

Nitrogen dynamics in flooded soil systems: an overview on concepts and performance of models

Nitrogen dynamics in flooded soil systems: an overview on concepts and performance of models

Using Different Models to Estimate N2O Fluxes from Maize Cultivation in Poland

Exploring management strategies to improve yields and reduce reactive nitrogen emissions in a summer maize‐winter wheat cropping system under long‐term climate variability

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