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

IF 6.5 1区 农林科学 Q1 AGRONOMY
Junjia Qi , Yi Wang , Ying Zhao , Zhenghui Lv , Shengjie Kan , Yuchen Lv , Yong Li
{"title":"Which factors and how they determine nitrogen runoff loss in rice agroecosystems across China","authors":"Junjia Qi ,&nbsp;Yi Wang ,&nbsp;Ying Zhao ,&nbsp;Zhenghui Lv ,&nbsp;Shengjie Kan ,&nbsp;Yuchen Lv ,&nbsp;Yong Li","doi":"10.1016/j.agwat.2025.109778","DOIUrl":null,"url":null,"abstract":"<div><div>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<sup>−1</sup> season<sup>−1</sup> 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<sup>−1</sup> season<sup>−1</sup>). 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) &gt; Soil nutrient properties (0.29) &gt; 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) &gt; Soil nutrient properties (0.38) &gt; Soil C:N:P ratio (−0.19) in the PRS, and Fertilization (0.52) &gt; Soil nutrient properties (0.13) &gt; 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.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"319 ","pages":"Article 109778"},"PeriodicalIF":6.5000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Water Management","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378377425004925","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

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.
哪些因素以及它们如何决定中国水稻农业生态系统的氮径流损失
明确水稻种植系统氮素径流损失的特征和机制,对于优化农业氮素管理策略和控制非点源污染具有重要意义。然而,在全国范围内,水稻种植系统中决定氮素径流损失的关键因素以及它们如何决定氮素径流损失仍不清楚。本研究收集了86篇已发表论文中的560个数据集,利用随机森林排序和分段结构方程模型(SEM)确定了影响中国水稻种植系统氮径流损失的关键因素及其联系。结果表明,中国水稻种植系统的平均N径流损失为9.52 kg N ha−1季−1,水稻轮作系统(PRS)的平均N径流损失显著高于水稻旱作轮作系统(PRURS) (10.40 vs. 8.60 kg N ha−1季−1)。随机森林排序结果表明,降水量、氮肥施用量和土壤总氮(TSN)是影响氮素径流损失的关键因素,土壤元素化学计量比(如C:N:P)与氮素径流损失呈负相关,后者的影响凸显了水稻土壤生物地球化学循环在调节中国水稻种植系统氮素径流损失中的重要性。土壤C:N:P和土壤养分性质对低碳草地的影响更大,而氮肥施用量和降水量对低碳草地的影响更大。片段扫描电子模型表明,中国水稻种植系统中,施肥、土壤养分性质和土壤C:N:P复合变量对N径流损失的路径效应依次为:施肥(0.52)>; 土壤养分性质(0.29)>; 土壤C:N:P(-0.14)。3个复合变量的路径效应依次为:PRS中施肥(0.52)>; 土壤养分特性(0.38)>; 土壤C:N:P比值(- 0.19);PRURS中施肥(0.52)>; 土壤养分特性(0.13)>; 土壤C:N:P比值(- 0.10)。这表明土壤养分性质和土壤C:N:P比值对旱地氮素径流损失的影响强于旱地氮素径流损失。这些结果为缓解氮素径流损失和提高氮素利用效率提供了更深入的见解,并突出了土壤元素化学计量在调节中国水稻种植系统中氮素迁移和转化的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Agricultural Water Management
Agricultural Water Management 农林科学-农艺学
CiteScore
12.10
自引率
14.90%
发文量
648
审稿时长
4.9 months
期刊介绍: Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信