Land use types and soil pH co-mediate bacterial community assembly processes: Application of the neutral community model and null model to determine stochastic and deterministic processes in a subtropical basin, China

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jinquan Huang , Yujie Qi , Die Chen , Jigen Liu , Li Li , Wenjie Zhang , Xiaolan Liu , Weiwen Li , Zhichao Mao
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引用次数: 0

Abstract

Land use regimes strongly impact bacterial microbial communities. However, the ecological processes shaping bacterial community assembly under various land use types and the factors altering the balance between these processes remain poorly understood. To address these knowledge gaps, we investigated bacterial community assembly processes in four different land use types (paddy fields, forests, sloping fields and garden plots) within the Dongting Lake Basin (a subtropical region in China) using the neutral community model (NCM), null model, and high-throughput sequencing datasets. Among the tested land use types, bacterial communities in paddy fields exhibited the highest species richness (mean Sobs: 3695±495) and diversity (mean Shannon: 6.933±0.241), and had a significantly higher stochastic process contribution (71.9%) as well as greater migration rates (Nm=4922). In contrast, bacterial communities in forests and sloping fields were mainly governed by deterministic processes (50.1% and 56.1%, respectively), especially variable selection. Garden plots exhibited intermediate characteristics, with stochastic processes (64.7%) dominated by homogenizing dispersal. Redundancy analysis (RDA) identified soil pH as the strongest environmental factor influencing bacterial community structure (57.0% explanatory power, p<0.01). Under acidic soil conditions (pH≤ 5.5), microbial assembly processes were more stochastic and driven primarily by homogenizing dispersal, whereas under neutral conditions (pH 5.5–8.5), deterministic processes, especially variable selection, dominated. In summary, homogenizing dispersal and variable selection primarily drive soil bacterial community assembly, with their relative importance being co-mediated by land use types and soil pH. By revealing the key mechanisms regulating soil bacterial assemblages under different agricultural practices and environmental conditions, our study offers farmers with strategies to enhance soil health through informed land management, assists policymakers in devising effective agricultural policies, and underscores the broader societal significance of conserving agroecosystems for environmental and economic stability.
土地利用类型和土壤pH共同调节细菌群落组装过程:应用中性群落模型和零模型确定亚热带盆地随机和确定性过程
土地利用制度强烈影响细菌微生物群落。然而,不同土地利用类型下形成细菌群落的生态过程以及改变这些过程之间平衡的因素仍然知之甚少。为了解决这些知识空白,我们利用中性群落模型(NCM)、零模型和高通量测序数据集,研究了洞庭湖流域(中国亚热带地区)四种不同土地利用类型(水田、森林、坡地和园地)的细菌群落组装过程。不同土地利用类型中,水稻田细菌群落物种丰富度最高(平均Sobs为3695±495),多样性最高(平均Shannon为6.933±0.241),随机过程贡献率最高(71.9%),迁移率最高(Nm=4922)。森林和坡地细菌群落主要受确定性过程控制(分别为50.1%和56.1%),尤其是变量选择。园林样地表现出中间特征,随机过程(64.7%)以均匀化分散为主。冗余分析(RDA)发现土壤pH是影响细菌群落结构的最强环境因子(解释力为57.0%,p<0.01)。在酸性土壤条件下(pH≤5.5),微生物聚集过程更具随机性,主要由均质扩散驱动,而在中性土壤条件下(pH 5.5 - 8.5),确定性过程,特别是变量选择占主导地位。总之,均质化扩散和变量选择主要驱动土壤细菌群落组合,其相对重要性受土地利用类型和土壤ph的共同调节。通过揭示不同农业实践和环境条件下调节土壤细菌群落组合的关键机制,我们的研究为农民提供了通过知情土地管理提高土壤健康的策略,帮助决策者制定有效的农业政策。并强调了保护农业生态系统对环境和经济稳定的更广泛的社会意义。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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