{"title":"氮肥与生物炭对亚热带菜豆轮作土壤N2O排放和微生物群落的影响","authors":"Chi Zhang , Zhibo Li , Yulin Miao , Xiaolin Liao","doi":"10.1016/j.ejsobi.2025.103750","DOIUrl":null,"url":null,"abstract":"<div><div>Reducing nitrogen fertilizer application is a key strategy for mitigating soil N<sub>2</sub>O emissions in agriculture. Biochar has great potential in reducing excessive fertilizer use. However, the interactive effects of biochar and nitrogen (N) fertilization on N<sub>2</sub>O emissions are poorly understood. This study investigated how varying N fertilization (H: 100 %, M: 75 %, and L: 50 % of the conventional urea application rate) and biochar application rates (B0: 0 t ha<sup>−2</sup>, B1: 15 t ha<sup>−2</sup>, and B2: 60 t ha<sup>−2</sup>) affect N<sub>2</sub>O emissions, microbial community, and the abundance of N<sub>2</sub>O-related functional genes (<em>amoA</em>, <em>nirS</em>, <em>nirK</em>, and <em>nosZ</em>) in a subtropical oilseed rape (<em>Brassica napus</em> L.)-soybean (<em>Glycine max</em> (L.) Merrill) rotation system. Compared to control treatments (B0), biochar increased soil cumulative N<sub>2</sub>O emissions by 55–61.5 % in the oilseed season and 200–245 % in the soybean season. Biochar also significantly increased microbial diversity and altered bacterial community composition, with notable shifts in the relative abundance of key phyla such as Bacillota, Bacteroidota, Armatimonadota, and Nitrospirota. These effects were more pronounced under higher biochar application, likely driven by increases in soil total carbon (TC), nitrogen (TN), and ammonium (NH<sub>4</sub><sup>+</sup>-N). Biochar increased the abundance of N<sub>2</sub>O-related genes but had no significant effect on the (<em>nirS</em> + <em>nirK</em>)/<em>nosZ</em> ratio. Co-occurrence network analysis further revealed that biochar altered microbial interactions in a rate- and season-dependent manner, with high rate simplifying the network and potentially disrupting community stability, especially during the soybean season. In contrast, N fertilizer had limited effects on N<sub>2</sub>O emissions, microbial diversity or community structure. Partial least squares path modeling (PLS-PM) suggested that biochar increased N<sub>2</sub>O emissions primarily by enhancing soil TC, TN, pH, and denitrification process, while N fertilizer may affect N<sub>2</sub>O emissions through nitrification. These findings highlight the need for optimized biochar and fertilizer management strategies and emphasize the importance of identifying N<sub>2</sub>O production pathways and conducting long-term field studies to ensure the sustainable use of biochar in agriculture.</div></div>","PeriodicalId":12057,"journal":{"name":"European Journal of Soil Biology","volume":"126 ","pages":"Article 103750"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Combining effects of nitrogen fertilizer and biochar on soil N2O emissions and microbial community in a subtropical rapeseed-soybean rotation\",\"authors\":\"Chi Zhang , Zhibo Li , Yulin Miao , Xiaolin Liao\",\"doi\":\"10.1016/j.ejsobi.2025.103750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Reducing nitrogen fertilizer application is a key strategy for mitigating soil N<sub>2</sub>O emissions in agriculture. Biochar has great potential in reducing excessive fertilizer use. However, the interactive effects of biochar and nitrogen (N) fertilization on N<sub>2</sub>O emissions are poorly understood. This study investigated how varying N fertilization (H: 100 %, M: 75 %, and L: 50 % of the conventional urea application rate) and biochar application rates (B0: 0 t ha<sup>−2</sup>, B1: 15 t ha<sup>−2</sup>, and B2: 60 t ha<sup>−2</sup>) affect N<sub>2</sub>O emissions, microbial community, and the abundance of N<sub>2</sub>O-related functional genes (<em>amoA</em>, <em>nirS</em>, <em>nirK</em>, and <em>nosZ</em>) in a subtropical oilseed rape (<em>Brassica napus</em> L.)-soybean (<em>Glycine max</em> (L.) Merrill) rotation system. Compared to control treatments (B0), biochar increased soil cumulative N<sub>2</sub>O emissions by 55–61.5 % in the oilseed season and 200–245 % in the soybean season. Biochar also significantly increased microbial diversity and altered bacterial community composition, with notable shifts in the relative abundance of key phyla such as Bacillota, Bacteroidota, Armatimonadota, and Nitrospirota. These effects were more pronounced under higher biochar application, likely driven by increases in soil total carbon (TC), nitrogen (TN), and ammonium (NH<sub>4</sub><sup>+</sup>-N). Biochar increased the abundance of N<sub>2</sub>O-related genes but had no significant effect on the (<em>nirS</em> + <em>nirK</em>)/<em>nosZ</em> ratio. Co-occurrence network analysis further revealed that biochar altered microbial interactions in a rate- and season-dependent manner, with high rate simplifying the network and potentially disrupting community stability, especially during the soybean season. In contrast, N fertilizer had limited effects on N<sub>2</sub>O emissions, microbial diversity or community structure. Partial least squares path modeling (PLS-PM) suggested that biochar increased N<sub>2</sub>O emissions primarily by enhancing soil TC, TN, pH, and denitrification process, while N fertilizer may affect N<sub>2</sub>O emissions through nitrification. These findings highlight the need for optimized biochar and fertilizer management strategies and emphasize the importance of identifying N<sub>2</sub>O production pathways and conducting long-term field studies to ensure the sustainable use of biochar in agriculture.</div></div>\",\"PeriodicalId\":12057,\"journal\":{\"name\":\"European Journal of Soil Biology\",\"volume\":\"126 \",\"pages\":\"Article 103750\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Soil Biology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1164556325000421\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Soil Biology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1164556325000421","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
减少氮肥的施用是减少农业土壤N2O排放的关键策略。生物炭在减少化肥过度使用方面具有巨大潜力。然而,生物炭和氮肥对N2O排放的交互作用尚不清楚。本研究研究了不同施氮量(常规尿素施用量的H: 100%、M: 75%和L: 50%)和生物炭施用量(B0: 0 t ha - 2、B1: 15 t ha - 2和B2: 60 t ha - 2)对亚热带油菜(Brassica napus L.)-大豆(Glycine max (L.)) N2O排放、微生物群落和N2O相关功能基因(amoA、nirS、nirK和nosZ)丰度的影响。美林)轮岗制度。与对照处理(B0)相比,生物炭在油籽季和大豆季分别使土壤累积N2O排放量增加了55 ~ 61.5%和200 ~ 245%。生物炭还显著增加了微生物多样性,改变了细菌群落组成,杆状杆菌门、拟杆菌门、犰狳门和亚硝基螺旋体门等关键门的相对丰度发生了显著变化。在生物炭用量较高的情况下,这些效应更为明显,可能是由土壤总碳(TC)、氮(TN)和铵(NH4+-N)的增加所驱动的。生物炭增加了n2o相关基因的丰度,但对(nirS + nirK)/nosZ比值无显著影响。共生网络分析进一步表明,生物炭以速率和季节依赖的方式改变微生物相互作用,高速率简化了网络,并可能破坏群落稳定性,特别是在大豆季节。氮肥对氮氧化物排放、微生物多样性和群落结构的影响有限。偏最小二乘路径模型(PLS-PM)表明,生物炭增加N2O排放主要通过增强土壤TC、TN、pH和反硝化过程,而氮肥可能通过硝化作用影响N2O排放。这些发现强调了优化生物炭和肥料管理策略的必要性,并强调了确定N2O生产途径和开展长期实地研究的重要性,以确保生物炭在农业中的可持续利用。
Combining effects of nitrogen fertilizer and biochar on soil N2O emissions and microbial community in a subtropical rapeseed-soybean rotation
Reducing nitrogen fertilizer application is a key strategy for mitigating soil N2O emissions in agriculture. Biochar has great potential in reducing excessive fertilizer use. However, the interactive effects of biochar and nitrogen (N) fertilization on N2O emissions are poorly understood. This study investigated how varying N fertilization (H: 100 %, M: 75 %, and L: 50 % of the conventional urea application rate) and biochar application rates (B0: 0 t ha−2, B1: 15 t ha−2, and B2: 60 t ha−2) affect N2O emissions, microbial community, and the abundance of N2O-related functional genes (amoA, nirS, nirK, and nosZ) in a subtropical oilseed rape (Brassica napus L.)-soybean (Glycine max (L.) Merrill) rotation system. Compared to control treatments (B0), biochar increased soil cumulative N2O emissions by 55–61.5 % in the oilseed season and 200–245 % in the soybean season. Biochar also significantly increased microbial diversity and altered bacterial community composition, with notable shifts in the relative abundance of key phyla such as Bacillota, Bacteroidota, Armatimonadota, and Nitrospirota. These effects were more pronounced under higher biochar application, likely driven by increases in soil total carbon (TC), nitrogen (TN), and ammonium (NH4+-N). Biochar increased the abundance of N2O-related genes but had no significant effect on the (nirS + nirK)/nosZ ratio. Co-occurrence network analysis further revealed that biochar altered microbial interactions in a rate- and season-dependent manner, with high rate simplifying the network and potentially disrupting community stability, especially during the soybean season. In contrast, N fertilizer had limited effects on N2O emissions, microbial diversity or community structure. Partial least squares path modeling (PLS-PM) suggested that biochar increased N2O emissions primarily by enhancing soil TC, TN, pH, and denitrification process, while N fertilizer may affect N2O emissions through nitrification. These findings highlight the need for optimized biochar and fertilizer management strategies and emphasize the importance of identifying N2O production pathways and conducting long-term field studies to ensure the sustainable use of biochar in agriculture.
期刊介绍:
The European Journal of Soil Biology covers all aspects of soil biology which deal with microbial and faunal ecology and activity in soils, as well as natural ecosystems or biomes connected to ecological interests: biodiversity, biological conservation, adaptation, impact of global changes on soil biodiversity and ecosystem functioning and effects and fate of pollutants as influenced by soil organisms. Different levels in ecosystem structure are taken into account: individuals, populations, communities and ecosystems themselves. At each level, different disciplinary approaches are welcomed: molecular biology, genetics, ecophysiology, ecology, biogeography and landscape ecology.