Toward a framework for the multimodel ensemble prediction of soil nitrogen losses

	Toward a framework for the multimodel ensemble prediction of soil nitrogen losses
	Liao, Kaihua; Lv, Ligang; Lai, Xiaoming; Zhu, Qing
刊名	ECOLOGICAL MODELLING
	2021
卷号	456
英文摘要	Soil nitrogen (N) loss is a part of N biogeochemical processes, which plays an important role in the agricultural, ecological and environmental management. Because it is difficult to assess the temporal and spatial changes of different N forms in leachates by field measurement methods, conceptual and physical models are usually used to describe soil N loss. However, soil N models are often associated with multiple sources of uncertainty (e.g., model parameter and structure), which may largely influence the reliability and accuracy of the models. The multi-model ensemble prediction (MEP) is specifically designed to reduce the parameter and structural uncertainty in N biogeochemical modelling by representing a set of candidate models. However, the existing MEP methods still need to be improved by integrating various kinds of prior knowledge and quantifying each part of predictive uncertainty. In addition, published studies mainly focused on the regional scale MEP of the land carbon balance. However, the regional scale MEP of soil N losses is lacking. This paper firstly proposed the MEP methods of soil N losses at different spatial scales: 1) using the Monte-Carlo sampling to randomly alter the soil and crop parameters governing the N cycle and driving multiple soil N models at plot scale; and 2) generating an ensemble of TIGGE (THORPEX Interactive Grand Global Ensemble) weather forecasts and an ensemble of random soil and crop parameters and driving multiple soil N models at regional scale. This study also discussed different methods used for realizing MEP. It is found that the ensemble mean produced a large bias when simulating soil N losses. By using the bias correction technique, the RMSEs of the ensemble mean decreased by 57.5%similar to 86.0%. Overall, the MEP can enhance our understanding of soil N cycle. In addition, this study is also helpful to accurately estimate the response of soil N loss to global change and provide support for agricultural production and environmental protection.
内容类型	期刊论文
源URL	[http://159.226.73.51/handle/332005/20396]
专题	中国科学院南京地理与湖泊研究所
推荐引用方式 GB/T 7714	Liao, Kaihua,Lv, Ligang,Lai, Xiaoming,et al. Toward a framework for the multimodel ensemble prediction of soil nitrogen losses[J]. ECOLOGICAL MODELLING,2021,456.
APA	Liao, Kaihua,Lv, Ligang,Lai, Xiaoming,&Zhu, Qing.(2021).Toward a framework for the multimodel ensemble prediction of soil nitrogen losses.ECOLOGICAL MODELLING,456.
MLA	Liao, Kaihua,et al."Toward a framework for the multimodel ensemble prediction of soil nitrogen losses".ECOLOGICAL MODELLING 456(2021).