Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A review
The DeNitrification–DeComposition (DNDC) model is a process model with a series of carbon and nitrogen biogeochemistry in agro-ecosystems. It incorporates the driving factors of the ecological environment and aims to simulate the carbon and nitrogen cycle in the terrestrial ecosystem. Furthermore, t...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2020-01-01
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| Series: | Artificial Intelligence in Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721720300210 |
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doaj-e9ebf5757a184ae794bc6fd5cd5ffb94 |
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| record_format |
Article |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Shan Yin Xianxian Zhang Junyao Lyu Yuee Zhi Feng Chen Longqin Wang Chunjiang Liu Sheng Zhou |
| spellingShingle |
Shan Yin Xianxian Zhang Junyao Lyu Yuee Zhi Feng Chen Longqin Wang Chunjiang Liu Sheng Zhou Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A review Artificial Intelligence in Agriculture Soil organic carbon Greenhouse gas emissions Exogenous carbon addition Tillage practices Water and fertilizer management |
| author_facet |
Shan Yin Xianxian Zhang Junyao Lyu Yuee Zhi Feng Chen Longqin Wang Chunjiang Liu Sheng Zhou |
| author_sort |
Shan Yin |
| title |
Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A review |
| title_short |
Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A review |
| title_full |
Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A review |
| title_fullStr |
Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A review |
| title_full_unstemmed |
Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A review |
| title_sort |
carbon sequestration and emissions mitigation in paddy fields based on the dndc model: a review |
| publisher |
KeAi Communications Co., Ltd. |
| series |
Artificial Intelligence in Agriculture |
| issn |
2589-7217 |
| publishDate |
2020-01-01 |
| description |
The DeNitrification–DeComposition (DNDC) model is a process model with a series of carbon and nitrogen biogeochemistry in agro-ecosystems. It incorporates the driving factors of the ecological environment and aims to simulate the carbon and nitrogen cycle in the terrestrial ecosystem. Furthermore, the model can be applied effectively in a paddy ecosystem. Based on an investigation and literature review, this study summarized and analyzed the impact of agricultural practices such as water management, fertilizer application, and straw incorporation on greenhouse gas emissions and soil carbon storage. After years of improvement, the DNDC model can presently be used effectively to evaluate the carbon sequestration and emissions mitigation potential of various agricultural practices. However, the related details of scientific processes of agricultural management, such as biochar incorporation and plastic mulching in paddy fields, should be added or modified and combined with experimental cases of actual agricultural practices to complete the calibration of the model, provide theoretical support for its promotion, and establish a reliable method of evaluating carbon sequestration and emissions mitigation in paddy fields. |
| topic |
Soil organic carbon Greenhouse gas emissions Exogenous carbon addition Tillage practices Water and fertilizer management |
| url |
http://www.sciencedirect.com/science/article/pii/S2589721720300210 |
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doaj-e9ebf5757a184ae794bc6fd5cd5ffb942021-04-02T16:36:37ZengKeAi Communications Co., Ltd.Artificial Intelligence in Agriculture2589-72172020-01-014140149Carbon sequestration and emissions mitigation in paddy fields based on the DNDC model: A reviewShan Yin0Xianxian Zhang1Junyao Lyu2Yuee Zhi3Feng Chen4Longqin Wang5Chunjiang Liu6Sheng Zhou7School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, China; Shanghai Yangtze River Delta Eco-environmental Change and Management Observation and Research Station, Ministry of Education, 800 Dongchuan Rd, Shanghai 200240, China; Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, 800 Dongchuan Rd., Shanghai 200240, China; Key Laboratory for Urban Agriculture, Ministry of Agriculture and Rural Affairs, 800 Dongchuan Rd., Shanghai 200240, ChinaEco-Environmental Protection Research Institute, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Rd, Shanghai 201403, China; Shanghai Engineering Research Centre of Low-carbon Agriculture (SERCLA), 1000 Jinqi Rd, Shanghai 201403, ChinaSchool of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, China; Shanghai Yangtze River Delta Eco-environmental Change and Management Observation and Research Station, Ministry of Education, 800 Dongchuan Rd, Shanghai 200240, China; Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, 800 Dongchuan Rd., Shanghai 200240, ChinaSchool of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, China; Key Laboratory for Urban Agriculture, Ministry of Agriculture and Rural Affairs, 800 Dongchuan Rd., Shanghai 200240, ChinaShanghai Chongming Modern Agricultural Park Management Committee, 2 Chongming Beishougeng Rd, Shanghai 202163, ChinaShanghai Songlin Food (Group) CO. LTD, 2268 East Rongle Rd, Shanghai 201613, ChinaSchool of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, China; Shanghai Yangtze River Delta Eco-environmental Change and Management Observation and Research Station, Ministry of Education, 800 Dongchuan Rd, Shanghai 200240, China; Shanghai Urban Forest Ecosystem Research Station, National Forestry and Grassland Administration, 800 Dongchuan Rd., Shanghai 200240, China; Key Laboratory for Urban Agriculture, Ministry of Agriculture and Rural Affairs, 800 Dongchuan Rd., Shanghai 200240, China; Correspondence to: C. Liu, School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, China.Eco-Environmental Protection Research Institute, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Rd, Shanghai 201403, China; Shanghai Engineering Research Centre of Low-carbon Agriculture (SERCLA), 1000 Jinqi Rd, Shanghai 201403, China; Correspondence to: S. Zhou, Eco-Environmental Protection Research Institute, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Rd, Shanghai 201403, China.The DeNitrification–DeComposition (DNDC) model is a process model with a series of carbon and nitrogen biogeochemistry in agro-ecosystems. It incorporates the driving factors of the ecological environment and aims to simulate the carbon and nitrogen cycle in the terrestrial ecosystem. Furthermore, the model can be applied effectively in a paddy ecosystem. Based on an investigation and literature review, this study summarized and analyzed the impact of agricultural practices such as water management, fertilizer application, and straw incorporation on greenhouse gas emissions and soil carbon storage. After years of improvement, the DNDC model can presently be used effectively to evaluate the carbon sequestration and emissions mitigation potential of various agricultural practices. However, the related details of scientific processes of agricultural management, such as biochar incorporation and plastic mulching in paddy fields, should be added or modified and combined with experimental cases of actual agricultural practices to complete the calibration of the model, provide theoretical support for its promotion, and establish a reliable method of evaluating carbon sequestration and emissions mitigation in paddy fields.http://www.sciencedirect.com/science/article/pii/S2589721720300210Soil organic carbonGreenhouse gas emissionsExogenous carbon additionTillage practicesWater and fertilizer management |