dc.contributor.author | Huang, Xiao | |
dc.contributor.author | Ni, Shaoqiang | |
dc.contributor.author | Wu, Chao | |
dc.contributor.author | Zorn, Conrad | |
dc.contributor.author | Zhang, Wenyuan | |
dc.contributor.author | Yu, Chaoqing | |
dc.date.accessioned | 2021-01-28T12:20:14Z | |
dc.date.available | 2021-01-28T12:20:14Z | |
dc.date.created | 2020-09-19T21:43:43Z | |
dc.date.issued | 2020-08-21 | |
dc.identifier.citation | Environmental Modelling & Software. 2020, 134 . | en_US |
dc.identifier.issn | 1364-8152 | |
dc.identifier.uri | https://hdl.handle.net/11250/2725188 | |
dc.description.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 modeling 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 modeling 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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier Ltd. | en_US |
dc.title | GDNDC: An integrated system to model water-nitrogen-crop processes for agricultural management at regional scales | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © 2020 Published by Elsevier Ltd | en_US |
dc.subject.nsi | VDP::Datateknologi: 551 | en_US |
dc.subject.nsi | VDP::Computer technology: 551 | en_US |
dc.subject.nsi | VDP::Datateknologi: 551 | en_US |
dc.subject.nsi | VDP::Computer technology: 551 | en_US |
dc.subject.nsi | VDP::Datateknologi: 551 | en_US |
dc.subject.nsi | VDP::Computer technology: 551 | en_US |
dc.source.pagenumber | 11 | en_US |
dc.source.volume | 134 | en_US |
dc.source.journal | Environmental Modelling & Software | en_US |
dc.identifier.doi | 10.1016/j.envsoft.2020.104807 | |
dc.identifier.cristin | 1831365 | |
dc.relation.project | Norges forskningsråd: 281109 | en_US |
dc.source.articlenumber | 104807 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |