EconPapers    
Economics at your fingertips  
 

Which factors and how they determine nitrogen runoff loss in rice agroecosystems across China

Junjia Qi, Yi Wang, Ying Zhao, Zhenghui Lv, Shengjie Kan, Yuchen Lv and Yong Li

Agricultural Water Management, 2025, vol. 319, issue C

Abstract: Clarifying the characteristics and mechanisms of nitrogen (N) runoff loss in rice cropping systems is crucial for optimizing agricultural N management strategies and controlling non-point source pollution in China. However, the key factors and how they determine N runoff loss in rice cropping systems, remain unclear at a national scale. This study collected 560 data sets from 86 published papers, using the Random Forest Ranking and Piecewise Structural Equation Modeling (SEM) to determine key factors and their linkage to N runoff loss in the Chinese rice cropping systems. The results showed that the average N runoff loss was 9.52 kg N ha−1 season−1 in the Chinese rice cropping systems, and the average N runoff loss was significantly higher in the paddy rice system (PRS) compared to the paddy rice-upland rotation system (PRURS) (10.40 vs. 8.60 kg N ha−1 season−1). The Random Forest Ranking determined that precipitation, N fertilization rate, and total soil N (TSN) were identified as key influencing factors for N runoff loss, while soil elemental stoichiometric ratios (e.g., C:N:P) were negatively correlated with N runoff loss, and the later factors highlighted the importance of paddy soil biogeochemical cycling in regulating N runoff loss in the Chinese rice cropping systems. Soil C:N:P and soil nutrient properties were more influential in the PRS, whereas N fertilization rate and precipitation were more critical in the PRURS. The Piecewise SEM suggested that the pathway effects of the composite variables of fertilization rate, soil nutrient properties, and soil C:N:P on N runoff loss were ranked as follows: Fertilization (0.52) > Soil nutrient properties (0.29) > Soil C:N:P (-0.14), in the Chinese rice cropping systems. The pathway effects of the three composite variables were ranked as Fertilization (0.52) > Soil nutrient properties (0.38) > Soil C:N:P ratio (−0.19) in the PRS, and Fertilization (0.52) > Soil nutrient properties (0.13) > Soil C:N:P ratio (−0.10) in the PRURS. This indicate that soil nutrient properties and the soil C:N:P ratio exert stronger effects on N runoff loss in the PRS than in the PRURS. These results provide deeper insights for mitigating N runoff loss and improving N use efficiency, and they highlight the critical role of soil elemental stoichiometry in regulating N migration and transformation within paddy water in rice cropping systems in China.

Keywords: Rice; Nitrogen runoff loss; Stoichiometry; Non-point pollution; Water quality (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378377425004925
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:319:y:2025:i:c:s0378377425004925

DOI: 10.1016/j.agwat.2025.109778

Access Statistics for this article

Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns

More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-10-07
Handle: RePEc:eee:agiwat:v:319:y:2025:i:c:s0378377425004925