GDNDC: An integrated system to model water-nitrogen-crop processes for agricultural management at regional scales

Agroecosystem modelling has increasingly focused on the integration of soil biogeochemical processes and crop growth. However, few models are available that offer high computing efficiencies for region-scale simulations, integrated decision support tools, and a structure that allows for easy extensi...

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Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 134; S. 104807
Hauptverfasser:	Huang, Xiao, Ni, Shaoqiang, Wu, Chao, Zorn, Conrad, Zhang, Wenyuan, Yu, Chaoqing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.12.2020 Elsevier Science Ltd
Schlagworte:	Agricultural ecosystems Agricultural management agroecosystems Algorithms Biogeochemistry China Computation computer software corn Crop growth Crop yield Crops Decision support Decision support systems Denitrification Drought Fertilizer application GDNDC issues and policy Optimal fertilization Optimization Parallel computation Parallel processing Parameter optimization Simulation soil China GDNDC Optimal fertilization Parallel computation Parameter optimization Decision support
ISSN:	1364-8152, 1873-6726
Online-Zugang:	Volltext
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Abstract	Agroecosystem modelling has increasingly focused on the integration of soil biogeochemical processes and crop growth. However, few models are available that offer high computing efficiencies for region-scale simulations, integrated decision support tools, and a structure that allows for easy extension. This paper introduces a new modelling tool to fill this gap: the GDNDC (Gridded DNDC) system for gridded agro-biogeochemical simulations. Based on the established DeNitrification and DeComposition (DNDC) model version-95, its main advancements include (i) implementation of parallel computation to significantly reduce computation time across multiple scales; (ii) a built-in parameter optimization algorithm to improve the predictive accuracy, and (iii) several decision support tools. We demonstrate each of these for county-level maize growth simulations in Liaoning Province (China) and reveal the potential of this new modelling tool to guide both long-term policy decisions regarding optimal fertilizer application and near-term crop yield forecasting for reactive decisions required in times of drought. •Parallel computing mode realized in GDNDC to improve the computing efficiency for regional-scale simulation.•Multiple modules are coupled into GDNDC to enable complete end-to-end simulation for decision support.•Coupler is developed in GDNDC to integrate different modules by coordinating the information exchange.•GDNDC presents a new structure of agricultural modelling system for easy maintenance and extension.
AbstractList	Agroecosystem modelling has increasingly focused on the integration of soil biogeochemical processes and crop growth. However, few models are available that offer high computing efficiencies for region-scale simulations, integrated decision support tools, and a structure that allows for easy extension. This paper introduces a new modelling tool to fill this gap: the GDNDC (Gridded DNDC) system for gridded agro-biogeochemical simulations. Based on the established DeNitrification and DeComposition (DNDC) model version-95, its main advancements include (i) implementation of parallel computation to significantly reduce computation time across multiple scales; (ii) a built-in parameter optimization algorithm to improve the predictive accuracy, and (iii) several decision support tools. We demonstrate each of these for county-level maize growth simulations in Liaoning Province (China) and reveal the potential of this new modelling tool to guide both long-term policy decisions regarding optimal fertilizer application and near-term crop yield forecasting for reactive decisions required in times of drought. Agroecosystem modelling has increasingly focused on the integration of soil biogeochemical processes and crop growth. However, few models are available that offer high computing efficiencies for region-scale simulations, integrated decision support tools, and a structure that allows for easy extension. This paper introduces a new modelling tool to fill this gap: the GDNDC (Gridded DNDC) system for gridded agro-biogeochemical simulations. Based on the established DeNitrification and DeComposition (DNDC) model version-95, its main advancements include (i) implementation of parallel computation to significantly reduce computation time across multiple scales; (ii) a built-in parameter optimization algorithm to improve the predictive accuracy, and (iii) several decision support tools. We demonstrate each of these for county-level maize growth simulations in Liaoning Province (China) and reveal the potential of this new modelling tool to guide both long-term policy decisions regarding optimal fertilizer application and near-term crop yield forecasting for reactive decisions required in times of drought. •Parallel computing mode realized in GDNDC to improve the computing efficiency for regional-scale simulation.•Multiple modules are coupled into GDNDC to enable complete end-to-end simulation for decision support.•Coupler is developed in GDNDC to integrate different modules by coordinating the information exchange.•GDNDC presents a new structure of agricultural modelling system for easy maintenance and extension.
ArticleNumber	104807
Author	Zorn, Conrad Wu, Chao Zhang, Wenyuan Huang, Xiao Yu, Chaoqing Ni, Shaoqiang
Author_xml	– sequence: 1 givenname: Xiao surname: Huang fullname: Huang, Xiao organization: Norwegian Institute of Bioeconomy Research, Saerheim, Norway – sequence: 2 givenname: Shaoqiang surname: Ni fullname: Ni, Shaoqiang organization: Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China – sequence: 3 givenname: Chao surname: Wu fullname: Wu, Chao organization: Department of Ecology and Evolutionary Biology, Yale University, New Haven, USA – sequence: 4 givenname: Conrad surname: Zorn fullname: Zorn, Conrad organization: Department of Civil and Environmental Engineering, University of Auckland, Auckland, New Zealand – sequence: 5 givenname: Wenyuan surname: Zhang fullname: Zhang, Wenyuan organization: Department of Zoology, University of Oxford, Oxford, UK – sequence: 6 givenname: Chaoqing surname: Yu fullname: Yu, Chaoqing email: chaoqingyu@gmail.com organization: Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
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Keywords	GDNDC Optimal fertilization Parallel computation Parameter optimization Decision support
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SubjectTerms	Agricultural ecosystems Agricultural management agroecosystems Algorithms Biogeochemistry China Computation computer software corn Crop growth Crop yield Crops Decision support Decision support systems Denitrification Drought Fertilizer application GDNDC issues and policy Optimal fertilization Optimization Parallel computation Parallel processing Parameter optimization Simulation soil
Title	GDNDC: An integrated system to model water-nitrogen-crop processes for agricultural management at regional scales
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