Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?

doi:10.1016/j.agrformet.2020.108281

	Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?
	Zhang, Yajie 1,2; Yu, Qiang 1,2
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	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.
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关键词	GREENHOUSE-GAS EMISSIONS ; BIOGEOCHEMICAL MODELS ; CLIMATE-CHANGE ; DNDC ; METAANALYSIS ; APSIM ; DENITRIFICATION ; EVOLUTION ; CARBON
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000608676000033
资助机构	National Natural Science Foundation of China ; International Partnership Program of the Chinese Academy of Sciences ; 111 Project of China
内容类型	期刊论文
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.