Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?
文献类型：期刊论文
| 作者 | Zhang, Yajie1,2; Yu, Qiang1,2
|
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2021-02-15 |
| 卷号 | 297页码:12 |
| 关键词 | Nitrous oxide emission Agroecosystem model evolution Coefficient of determination Root mean square error Meta-analysis |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2020.108281 |
| 通讯作者 | Zhang, Yajie(zhangyajie1990@yeah.net) |
| 英文摘要 | In recent decades, agroecosystem models have been developed to simulate agricultural nitrous oxide (N2O) emissions. Coefficients of determination (R-2) and root mean square error (RMSE) are widely used as metrics to assess the explanatory power and simulation accuracy of models and to provide perspectives on model improvement as models evolve. This study aimed to determine whether the fitting accuracy of three agroecosystem models to simulate agricultural N2O emissions improved with advancing versions of the models. We used several quality evaluation criteria to extract 94 and 97 reported R-2 and RMSE values, respectively, from 32 published articles related to the use of three of the most-used agroecosystem models in the research field of N2O emissions [i.e., DNDC (DeNitrification-DeComposition), DayCent, and APSIM (Agricultural Production Systems sIMulator)]. Results showed that there was (1) no significant improvement in simulating N2O emissions between DNDC9.3 and DNDC9.5; and (2) no significant difference between the simulation abilities of the original models and the user-defined revised models for these widely-used models. These findings may be mainly a result of the offsetting consequences of changes in publication bias and increased focus on complex agricultural issues. The study also found that the simulation accuracy of DNDC was better under conditions of higher annual mean temperature and soil bulk density and lower soil total nitrogen, mainly caused by the formulas and data used to build and validate the model. The study results suggest that the suitability of a model for simulating N2O emissions depends on the climatic and soil conditions at the location of its application. Improving the simulation accuracy of agroecosystem models will require further targeted corrective and development actions in the future. |
| WOS关键词 | GREENHOUSE-GAS EMISSIONS ; BIOGEOCHEMICAL MODELS ; CLIMATE-CHANGE ; DNDC ; METAANALYSIS ; APSIM ; DENITRIFICATION ; EVOLUTION ; CARBON |
| 资助项目 | National Natural Science Foundation of China[41961124006] ; National Natural Science Foundation of China[41730645] ; International Partnership Program of the Chinese Academy of Sciences[161461KYSB20170013] ; 111 Project of China[B12007] |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000608676000033 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; International Partnership Program of the Chinese Academy of Sciences ; 111 Project of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136396]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yajie |
| 作者单位 | 1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 2.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Yajie,Yu, Qiang. Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?[J]. AGRICULTURAL AND FOREST METEOROLOGY,2021,297:12. |
| APA | Zhang, Yajie,&Yu, Qiang.(2021).Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?.AGRICULTURAL AND FOREST METEOROLOGY,297,12. |
| MLA | Zhang, Yajie,et al."Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?".AGRICULTURAL AND FOREST METEOROLOGY 297(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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