Nonlinear response of soil microbial network complexity to long-term nitrogen addition in a semiarid grassland: Implications for soil carbon processes

IF 6 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agriculture, Ecosystems & Environment Pub Date : 2024-11-26 DOI:10.1016/j.agee.2024.109407
Yaodan Zhang , Decao Niu , Qingwei Li , Huiying Liu , Ying Wang , Jingrun Xu , Baoming Du , Ding Guo , Yubing Liu , Hua Fu , Xiaobo Yuan
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Abstract

Increased atmospheric nitrogen (N) deposition alters the structure and function of soil microbial communities in terrestrial ecosystems, consequently exerting a profound influence on ecosystem processes. However, the effects of N deposition on soil microbial network complexity and its regulation of soil carbon (C) processes in semiarid grassland ecosystems are poorly understood. In this study, based on a 13-year multilevel field N addition experiment in a semiarid grassland on the Loess Plateau, together with metagenomic sequencing and co-occurrence network analysis methods, we observed that the complexity of microbial co-occurrence network, characterized by the number of nodes and edges and the average path length, increased first and then decreased in a nonlinear response to N addition, with thresholds between 4.60 g N m−2 yr−1 and 9.20 g N m−2 yr−1 in both the topsoil and subsoil. Meanwhile, soil microbial network complexity was significantly positively correlated with plant root traits (e.g., root biomass), soil microbial properties (e.g., fungal community composition and bacterial Shannon diversity and community composition) and most physicochemical properties (e.g., soil water content, NH4+-N, and Fep). Structural equation model analysis (SEM) revealed that the major determinants of the soil microbial network complexity shifted from soil physicochemical properties to bacterial community composition along the N addition gradient. Further analysis revealed that N-induced alterations in microbial network complexity could modulate soil organic C (SOC) formation, preservation, and decomposition by affecting the functional potential of microbial communities. For instance, the microbial network complexity, abundance of functional genes involved in starch and hemicellulose degradation, and microbial C use efficiency decreased significantly under high levels of N addition. These results provide empirical evidence for the close linkages between soil microbial network complexity and soil C processes and highlight the need to disentangle the mechanisms underlying the nonlinear response of soil microbial interactions to atmospheric N deposition to improve soil C projections.
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半干旱草地土壤微生物网络复杂性对长期氮添加的非线性响应:对土壤碳过程的影响
大气中氮(N)沉积的增加会改变陆地生态系统中土壤微生物群落的结构和功能,从而对生态系统过程产生深远影响。然而,人们对氮沉降对半干旱草原生态系统中土壤微生物网络复杂性的影响及其对土壤碳(C)过程的调控还知之甚少。本研究基于在黄土高原半干旱草地进行的为期 13 年的多级田间氮添加实验,结合元基因组测序和共生网络分析方法,观察到微生物共生网络的复杂性(以节点和边缘数量以及平均路径长度为特征)对氮添加呈先增加后减少的非线性响应,表土和底土的阈值介于 4.60 g N m-2 yr-1 和 9.20 g N m-2 yr-1 之间。同时,土壤微生物网络复杂性与植物根系性状(如根系生物量)、土壤微生物特性(如真菌群落组成、细菌香农多样性和群落组成)以及大多数理化特性(如土壤含水量、NH4+-N 和 Fep)显著正相关。结构方程模型分析(SEM)显示,沿着氮添加梯度,土壤微生物网络复杂性的主要决定因素从土壤理化性质转向细菌群落组成。进一步的分析表明,氮引起的微生物网络复杂性的改变可以通过影响微生物群落的功能潜力来调节土壤有机碳(SOC)的形成、保存和分解。例如,在大量添加氮的情况下,微生物网络的复杂性、参与淀粉和半纤维素降解的功能基因的丰度以及微生物的 C 利用效率都显著下降。这些结果为土壤微生物网络复杂性与土壤碳过程之间的密切联系提供了实证证据,并强调有必要厘清土壤微生物相互作用对大气氮沉降非线性响应的内在机制,以改进土壤碳预测。
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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Investigation of agricultural nutrient removal by ecological ditches using meta-analysis Land use patterns change N and P cycling bacterial diversity in an acidic karst soil A system dynamics model for predicting African armyworm occurrence and population dynamics Nonlinear response of soil microbial network complexity to long-term nitrogen addition in a semiarid grassland: Implications for soil carbon processes Driving forces of grass-livestock balance shifted from human activities to climate change on the top of the earth
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