Suppr超能文献

西班牙西南部放牧地区土壤细菌群落的空间格局

Spatial patterns of soil bacterial communities in grazing areas of Southwest Spain.

作者信息

Barrena-González Jesús, Lloret Eva, Zornoza Raúl, Lavado-Contador Francisco, Pulido Manuel

机构信息

Instituto Universitario de Investigación para el Desarrollo Territorial Sostenible, Universidad de Extremadura, Av. de las Letras, s/n, 10071 Cáceres, Spain.

Sustainable Use, Management and Reclamation of Soil and Water Research Group, Department of Agricultural Engineering, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 48, 30203 Cartagena, Spain; Instituto de Biotecnología Vegetal (IBV), Campus Muralla del Mar, Edificio I+D+I, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain.

出版信息

Sci Total Environ. 2025 Jun 1;979:179516. doi: 10.1016/j.scitotenv.2025.179516. Epub 2025 Apr 24.

Abstract

The spatial distribution of soil bacterial communities in agrosilvopastoral systems remains understudied, despite its fundamental role in ecosystem functioning. This study investigates the spatial dynamics of dominant copiotrophic and oligotrophic bacterial phyla in grazing areas of Southwest Spain, focusing on their interactions with land management, soil properties, and environmental covariates. Five management systems; occasional grazing (OG), holistic management (HM), organic farming (OF), conventional rangeland (CR), and conventional grassland (CG) were analyzed across three topographic positions (hilltop, mid-slope, valley bottom), representing a gradient of grazing intensity. A total of 71 soil samples were collected and analyzed using 16S rRNA metabarcoding. Alpha and beta diversity metrics revealed significant shifts in community composition driven by both management and topography, with HM showing higher richness compared to CR and CG. Among dominant phyla, copiotrophic groups such as Proteobacteria and Actinobacteriota were more abundant in upper slope areas and under higher grazing intensity, whereas oligotrophic Verrucomicrobiota was enriched in valley bottoms and under lower grazing pressure. Spatial prediction models based on Random Forest and recursive feature elimination (RFE) identified key environmental drivers, with vegetation indices being more relevant for Proteobacteria and Verrucomicrobiota, and topographic features for Actinobacteriota. RDA and SEM confirmed that animal stocking rate and soil organic matter were major predictors of β-diversity. This study provides novel insights into microbial spatial heterogeneity in Mediterranean grazing systems, highlighting the interplay of management practices, soil characteristics, and topography. The findings underscore the ecological benefits of holistic management in enhancing bacterial diversity and inform strategies for sustainable land use in agrosilvopastoral ecosystems.

摘要

尽管土壤细菌群落的空间分布在生态系统功能中起着基础性作用,但在农牧林复合系统中仍未得到充分研究。本研究调查了西班牙西南部放牧地区中占主导地位的富养型和贫养型细菌门的空间动态,重点关注它们与土地管理、土壤性质和环境协变量的相互作用。分析了五种管理系统,即偶尔放牧(OG)、整体管理(HM)、有机农业(OF)、传统牧场(CR)和传统草地(CG),跨越三个地形位置(山顶、山坡中部、谷底),代表了放牧强度的梯度。共采集了71个土壤样本,并使用16S rRNA宏条形码进行分析。α和β多样性指标显示,群落组成受管理和地形的驱动发生了显著变化,与CR和CG相比,HM显示出更高的丰富度。在优势菌门中,变形菌门和放线菌门等富养型菌群在上坡地区和较高放牧强度下更为丰富,而贫养型疣微菌门在谷底和较低放牧压力下更为富集。基于随机森林和递归特征消除(RFE)的空间预测模型确定了关键环境驱动因素,植被指数与变形菌门和疣微菌门的相关性更高,地形特征与放线菌门的相关性更高。冗余分析(RDA)和结构方程模型(SEM)证实,动物放养率和土壤有机质是β多样性的主要预测因子。本研究为地中海放牧系统中的微生物空间异质性提供了新的见解,突出了管理实践、土壤特征和地形之间的相互作用。研究结果强调了整体管理在增强细菌多样性方面的生态效益,并为农牧林复合生态系统中的可持续土地利用策略提供了参考。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验